diff --git a/TPC-DS/queries/query1.sql b/TPC-DS/queries/query1.sql index c2f6725361ecfe3ee239d59e6d33755bf46a74ba..be54d8eaf008976feabadec74c4421d903bff11d 100644 --- a/TPC-DS/queries/query1.sql +++ b/TPC-DS/queries/query1.sql @@ -1,22 +1,23 @@ -with customer_total_return as -(select sr_customer_sk as ctr_customer_sk -,sr_store_sk as ctr_store_sk -,sum(SR_FEE) as ctr_total_return -from store_returns -,date_dim -where sr_returned_date_sk = d_date_sk -and d_year =2000 -group by sr_customer_sk -,sr_store_sk) - select c_customer_id -from customer_total_return ctr1 -,store -,customer -where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 -from customer_total_return ctr2 -where ctr1.ctr_store_sk = ctr2.ctr_store_sk) -and s_store_sk = ctr1.ctr_store_sk -and s_state = 'TN' -and ctr1.ctr_customer_sk = c_customer_sk -order by c_customer_id -limit 100; +WITH customer_total_return AS + (SELECT sr_customer_sk AS ctr_customer_sk, + sr_store_sk AS ctr_store_sk, + sum(SR_FEE) AS ctr_total_return + FROM store_returns, + date_dim + WHERE sr_returned_date_sk = d_date_sk + AND d_year =2000 + GROUP BY sr_customer_sk, + sr_store_sk) +SELECT c_customer_id +FROM customer_total_return ctr1, + store, + customer +WHERE ctr1.ctr_total_return > + (SELECT avg(ctr_total_return)*1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_store_sk = ctr2.ctr_store_sk) + AND s_store_sk = ctr1.ctr_store_sk + AND s_state = 'TN' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id +LIMIT 100; diff --git a/TPC-DS/queries/query10.sql b/TPC-DS/queries/query10.sql index 15dbefac49dcb2a41c58155c2b9cfcd60217d917..26892e2d1a2e00b23d351581d1260477bd391b4d 100644 --- a/TPC-DS/queries/query10.sql +++ b/TPC-DS/queries/query10.sql @@ -1,56 +1,65 @@ -select - cd_gender, - cd_marital_status, - cd_education_status, - count(*) cnt1, - cd_purchase_estimate, - count(*) cnt2, - cd_credit_rating, - count(*) cnt3, - cd_dep_count, - count(*) cnt4, - cd_dep_employed_count, - count(*) cnt5, - cd_dep_college_count, - count(*) cnt6 - from - customer c,customer_address ca,customer_demographics - where - c.c_current_addr_sk = ca.ca_address_sk and - ca_county in ('Walker County','Richland County','Gaines County','Douglas County','Dona Ana County') and - cd_demo_sk = c.c_current_cdemo_sk and - exists (select * - from store_sales,date_dim - where c.c_customer_sk = ss_customer_sk and - ss_sold_date_sk = d_date_sk and - d_year = 2002 and - d_moy between 4 and 4+3) and - (exists (select * - from web_sales,date_dim - where c.c_customer_sk = ws_bill_customer_sk and - ws_sold_date_sk = d_date_sk and - d_year = 2002 and - d_moy between 4 ANd 4+3) or - exists (select * - from catalog_sales,date_dim - where c.c_customer_sk = cs_ship_customer_sk and - cs_sold_date_sk = d_date_sk and - d_year = 2002 and - d_moy between 4 and 4+3)) - group by cd_gender, - cd_marital_status, - cd_education_status, - cd_purchase_estimate, - cd_credit_rating, - cd_dep_count, - cd_dep_employed_count, - cd_dep_college_count - order by cd_gender, - cd_marital_status, - cd_education_status, - cd_purchase_estimate, - cd_credit_rating, - cd_dep_count, - cd_dep_employed_count, - cd_dep_college_count -limit 100; +SELECT cd_gender, + cd_marital_status, + cd_education_status, + count(*) cnt1, + cd_purchase_estimate, + count(*) cnt2, + cd_credit_rating, + count(*) cnt3, + cd_dep_count, + count(*) cnt4, + cd_dep_employed_count, + count(*) cnt5, + cd_dep_college_count, + count(*) cnt6 +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND ca_county IN ('Walker County', + 'Richland County', + 'Gaines County', + 'Douglas County', + 'Dona Ana County') + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS + (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4+3) + AND (EXISTS + (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4+3) + OR EXISTS + (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4+3)) +GROUP BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +ORDER BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +LIMIT 100; diff --git a/TPC-DS/queries/query11.sql b/TPC-DS/queries/query11.sql index d6bb238be88f78040df353c695284cf1ef521c94..f6f2b307b0e1ebf01eb94c849c5073760b2a6c96 100644 --- a/TPC-DS/queries/query11.sql +++ b/TPC-DS/queries/query11.sql @@ -1,78 +1,80 @@ -with year_total as ( - select c_customer_id customer_id - ,c_first_name customer_first_name - ,c_last_name customer_last_name - ,c_preferred_cust_flag customer_preferred_cust_flag - ,c_birth_country customer_birth_country - ,c_login customer_login - ,c_email_address customer_email_address - ,d_year dyear - ,sum(ss_ext_list_price-ss_ext_discount_amt) year_total - ,'s' sale_type - from customer - ,store_sales - ,date_dim - where c_customer_sk = ss_customer_sk - and ss_sold_date_sk = d_date_sk - group by c_customer_id - ,c_first_name - ,c_last_name - ,c_preferred_cust_flag - ,c_birth_country - ,c_login - ,c_email_address - ,d_year - union all - select c_customer_id customer_id - ,c_first_name customer_first_name - ,c_last_name customer_last_name - ,c_preferred_cust_flag customer_preferred_cust_flag - ,c_birth_country customer_birth_country - ,c_login customer_login - ,c_email_address customer_email_address - ,d_year dyear - ,sum(ws_ext_list_price-ws_ext_discount_amt) year_total - ,'w' sale_type - from customer - ,web_sales - ,date_dim - where c_customer_sk = ws_bill_customer_sk - and ws_sold_date_sk = d_date_sk - group by c_customer_id - ,c_first_name - ,c_last_name - ,c_preferred_cust_flag - ,c_birth_country - ,c_login - ,c_email_address - ,d_year - ) - select - t_s_secyear.customer_id - ,t_s_secyear.customer_first_name - ,t_s_secyear.customer_last_name - ,t_s_secyear.customer_email_address - from year_total t_s_firstyear - ,year_total t_s_secyear - ,year_total t_w_firstyear - ,year_total t_w_secyear - where t_s_secyear.customer_id = t_s_firstyear.customer_id - and t_s_firstyear.customer_id = t_w_secyear.customer_id - and t_s_firstyear.customer_id = t_w_firstyear.customer_id - and t_s_firstyear.sale_type = 's' - and t_w_firstyear.sale_type = 'w' - and t_s_secyear.sale_type = 's' - and t_w_secyear.sale_type = 'w' - and t_s_firstyear.dyear = 2001 - and t_s_secyear.dyear = 2001+1 - and t_w_firstyear.dyear = 2001 - and t_w_secyear.dyear = 2001+1 - and t_s_firstyear.year_total > 0 - and t_w_firstyear.year_total > 0 - and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 0.0 end - > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else 0.0 end - order by t_s_secyear.customer_id - ,t_s_secyear.customer_first_name - ,t_s_secyear.customer_last_name - ,t_s_secyear.customer_email_address -limit 100; +WITH year_total AS + (SELECT c_customer_id customer_id , + c_first_name customer_first_name , + c_last_name customer_last_name , + c_preferred_cust_flag customer_preferred_cust_flag , + c_birth_country customer_birth_country , + c_login customer_login , + c_email_address customer_email_address , + d_year dyear , + sum(ss_ext_list_price-ss_ext_discount_amt) year_total , + 's' sale_type + FROM customer , + store_sales , + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + GROUP BY c_customer_id , + c_first_name , + c_last_name , + c_preferred_cust_flag , + c_birth_country , + c_login , + c_email_address , + d_year + UNION ALL SELECT c_customer_id customer_id , + c_first_name customer_first_name , + c_last_name customer_last_name , + c_preferred_cust_flag customer_preferred_cust_flag , + c_birth_country customer_birth_country , + c_login customer_login , + c_email_address customer_email_address , + d_year dyear , + sum(ws_ext_list_price-ws_ext_discount_amt) year_total , + 'w' sale_type + FROM customer , + web_sales , + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + GROUP BY c_customer_id , + c_first_name , + c_last_name , + c_preferred_cust_flag , + c_birth_country , + c_login , + c_email_address , + d_year) +SELECT t_s_secyear.customer_id , + t_s_secyear.customer_first_name , + t_s_secyear.customer_last_name , + t_s_secyear.customer_email_address +FROM year_total t_s_firstyear , + year_total t_s_secyear , + year_total t_w_firstyear , + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.dyear = 2001 + AND t_s_secyear.dyear = 2001+1 + AND t_w_firstyear.dyear = 2001 + AND t_w_secyear.dyear = 2001+1 + AND t_s_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / t_w_firstyear.year_total + ELSE 0.0 + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total + ELSE 0.0 + END +ORDER BY t_s_secyear.customer_id , + t_s_secyear.customer_first_name , + t_s_secyear.customer_last_name , + t_s_secyear.customer_email_address +LIMIT 100; diff --git a/TPC-DS/queries/query12.sql b/TPC-DS/queries/query12.sql index b7cd940dd91cf2fe5ab33b317c4cb6b45b126455..2cf077edd84ac03b5c890786642947ebf7a3e10f 100644 --- a/TPC-DS/queries/query12.sql +++ b/TPC-DS/queries/query12.sql @@ -1,31 +1,27 @@ -select i_item_id - ,i_item_desc - ,i_category - ,i_class - ,i_current_price - ,sum(ws_ext_sales_price) as itemrevenue - ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over - (partition by i_class) as revenueratio -from - web_sales - ,item - ,date_dim -where - ws_item_sk = i_item_sk - and i_category in ('Jewelry', 'Sports', 'Books') - and ws_sold_date_sk = d_date_sk - and d_date between cast('2001-01-12' as date) - and (cast('2001-01-12' as date) + 30 days) -group by - i_item_id - ,i_item_desc - ,i_category - ,i_class - ,i_current_price -order by - i_category - ,i_class - ,i_item_id - ,i_item_desc - ,revenueratio -limit 100; +SELECT i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + sum(ws_ext_sales_price) AS itemrevenue , + sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio +FROM web_sales , + item , + date_dim +WHERE ws_item_sk = i_item_sk + AND i_category IN ('Jewelry', + 'Sports', + 'Books') + AND ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-01-12' AS date) AND (cast('2001-01-12' AS date) + 30 days) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio +LIMIT 100; diff --git a/TPC-DS/queries/query13.sql b/TPC-DS/queries/query13.sql index a60dbc5d41c3028370a89aa4fe8f0df510c26615..7923a13fd23aaa3fb67622f81db3dfec06a47ca1 100644 --- a/TPC-DS/queries/query13.sql +++ b/TPC-DS/queries/query13.sql @@ -1,49 +1,41 @@ -select avg(ss_quantity) - ,avg(ss_ext_sales_price) - ,avg(ss_ext_wholesale_cost) - ,sum(ss_ext_wholesale_cost) - from store_sales - ,store - ,customer_demographics - ,household_demographics - ,customer_address - ,date_dim - where s_store_sk = ss_store_sk - and ss_sold_date_sk = d_date_sk and d_year = 2001 - and((ss_hdemo_sk=hd_demo_sk - and cd_demo_sk = ss_cdemo_sk - and cd_marital_status = 'D' - and cd_education_status = '2 yr Degree' - and ss_sales_price between 100.00 and 150.00 - and hd_dep_count = 3 - )or - (ss_hdemo_sk=hd_demo_sk - and cd_demo_sk = ss_cdemo_sk - and cd_marital_status = 'S' - and cd_education_status = 'Secondary' - and ss_sales_price between 50.00 and 100.00 - and hd_dep_count = 1 - ) or - (ss_hdemo_sk=hd_demo_sk - and cd_demo_sk = ss_cdemo_sk - and cd_marital_status = 'W' - and cd_education_status = 'Advanced Degree' - and ss_sales_price between 150.00 and 200.00 - and hd_dep_count = 1 - )) - and((ss_addr_sk = ca_address_sk - and ca_country = 'United States' - and ca_state in ('CO', 'IL', 'MN') - and ss_net_profit between 100 and 200 - ) or - (ss_addr_sk = ca_address_sk - and ca_country = 'United States' - and ca_state in ('OH', 'MT', 'NM') - and ss_net_profit between 150 and 300 - ) or - (ss_addr_sk = ca_address_sk - and ca_country = 'United States' - and ca_state in ('TX', 'MO', 'MI') - and ss_net_profit between 50 and 250 - )) -; +SELECT avg(ss_quantity) , + avg(ss_ext_sales_price) , + avg(ss_ext_wholesale_cost) , + sum(ss_ext_wholesale_cost) +FROM store_sales , + store , + customer_demographics , + household_demographics , + customer_address , + date_dim +WHERE s_store_sk = ss_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2001 and((ss_hdemo_sk=hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'D' + AND cd_education_status = '2 yr Degree' + AND ss_sales_price BETWEEN 100.00 AND 150.00 + AND hd_dep_count = 3) + OR (ss_hdemo_sk=hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'S' + AND cd_education_status = 'Secondary' + AND ss_sales_price BETWEEN 50.00 AND 100.00 + AND hd_dep_count = 1) + OR (ss_hdemo_sk=hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'W' + AND cd_education_status = 'Advanced Degree' + AND ss_sales_price BETWEEN 150.00 AND 200.00 + AND hd_dep_count = 1)) and((ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ('CO', 'IL', 'MN') + AND ss_net_profit BETWEEN 100 AND 200) + OR (ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ('OH', 'MT', 'NM') + AND ss_net_profit BETWEEN 150 AND 300) + OR (ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ('TX', 'MO', 'MI') + AND ss_net_profit BETWEEN 50 AND 250)) ; diff --git a/TPC-DS/queries/query14.sql b/TPC-DS/queries/query14.sql index f83feeaba27d55843b556dd55e0555e0fdf8d536..c750a0cde77c0fd578deaa59b38c55f7eb1d28d6 100644 --- a/TPC-DS/queries/query14.sql +++ b/TPC-DS/queries/query14.sql @@ -1,207 +1,262 @@ -with cross_items as - (select i_item_sk ss_item_sk - from item, - (select iss.i_brand_id brand_id - ,iss.i_class_id class_id - ,iss.i_category_id category_id - from store_sales - ,item iss - ,date_dim d1 - where ss_item_sk = iss.i_item_sk - and ss_sold_date_sk = d1.d_date_sk - and d1.d_year between 1998 AND 1998 + 2 - intersect - select ics.i_brand_id - ,ics.i_class_id - ,ics.i_category_id - from catalog_sales - ,item ics - ,date_dim d2 - where cs_item_sk = ics.i_item_sk - and cs_sold_date_sk = d2.d_date_sk - and d2.d_year between 1998 AND 1998 + 2 - intersect - select iws.i_brand_id - ,iws.i_class_id - ,iws.i_category_id - from web_sales - ,item iws - ,date_dim d3 - where ws_item_sk = iws.i_item_sk - and ws_sold_date_sk = d3.d_date_sk - and d3.d_year between 1998 AND 1998 + 2) - where i_brand_id = brand_id - and i_class_id = class_id - and i_category_id = category_id -), - avg_sales as - (select avg(quantity*list_price) average_sales - from (select ss_quantity quantity - ,ss_list_price list_price - from store_sales - ,date_dim - where ss_sold_date_sk = d_date_sk - and d_year between 1998 and 1998 + 2 - union all - select cs_quantity quantity - ,cs_list_price list_price - from catalog_sales - ,date_dim - where cs_sold_date_sk = d_date_sk - and d_year between 1998 and 1998 + 2 - union all - select ws_quantity quantity - ,ws_list_price list_price - from web_sales - ,date_dim - where ws_sold_date_sk = d_date_sk - and d_year between 1998 and 1998 + 2) x) - select channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales) - from( - select 'store' channel, i_brand_id,i_class_id - ,i_category_id,sum(ss_quantity*ss_list_price) sales - , count(*) number_sales - from store_sales - ,item - ,date_dim - where ss_item_sk in (select ss_item_sk from cross_items) - and ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and d_year = 1998+2 - and d_moy = 11 - group by i_brand_id,i_class_id,i_category_id - having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales) - union all - select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales - from catalog_sales - ,item - ,date_dim - where cs_item_sk in (select ss_item_sk from cross_items) - and cs_item_sk = i_item_sk - and cs_sold_date_sk = d_date_sk - and d_year = 1998+2 - and d_moy = 11 - group by i_brand_id,i_class_id,i_category_id - having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales) - union all - select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales - from web_sales - ,item - ,date_dim - where ws_item_sk in (select ss_item_sk from cross_items) - and ws_item_sk = i_item_sk - and ws_sold_date_sk = d_date_sk - and d_year = 1998+2 - and d_moy = 11 - group by i_brand_id,i_class_id,i_category_id - having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales) - ) y - group by rollup (channel, i_brand_id,i_class_id,i_category_id) - order by channel,i_brand_id,i_class_id,i_category_id - limit 100; -with cross_items as - (select i_item_sk ss_item_sk - from item, - (select iss.i_brand_id brand_id - ,iss.i_class_id class_id - ,iss.i_category_id category_id - from store_sales - ,item iss - ,date_dim d1 - where ss_item_sk = iss.i_item_sk - and ss_sold_date_sk = d1.d_date_sk - and d1.d_year between 1998 AND 1998 + 2 - intersect - select ics.i_brand_id - ,ics.i_class_id - ,ics.i_category_id - from catalog_sales - ,item ics - ,date_dim d2 - where cs_item_sk = ics.i_item_sk - and cs_sold_date_sk = d2.d_date_sk - and d2.d_year between 1998 AND 1998 + 2 - intersect - select iws.i_brand_id - ,iws.i_class_id - ,iws.i_category_id - from web_sales - ,item iws - ,date_dim d3 - where ws_item_sk = iws.i_item_sk - and ws_sold_date_sk = d3.d_date_sk - and d3.d_year between 1998 AND 1998 + 2) x - where i_brand_id = brand_id - and i_class_id = class_id - and i_category_id = category_id -), - avg_sales as -(select avg(quantity*list_price) average_sales - from (select ss_quantity quantity - ,ss_list_price list_price - from store_sales - ,date_dim - where ss_sold_date_sk = d_date_sk - and d_year between 1998 and 1998 + 2 - union all - select cs_quantity quantity - ,cs_list_price list_price - from catalog_sales - ,date_dim - where cs_sold_date_sk = d_date_sk - and d_year between 1998 and 1998 + 2 - union all - select ws_quantity quantity - ,ws_list_price list_price - from web_sales - ,date_dim - where ws_sold_date_sk = d_date_sk - and d_year between 1998 and 1998 + 2) x) - select this_year.channel ty_channel - ,this_year.i_brand_id ty_brand - ,this_year.i_class_id ty_class - ,this_year.i_category_id ty_category - ,this_year.sales ty_sales - ,this_year.number_sales ty_number_sales - ,last_year.channel ly_channel - ,last_year.i_brand_id ly_brand - ,last_year.i_class_id ly_class - ,last_year.i_category_id ly_category - ,last_year.sales ly_sales - ,last_year.number_sales ly_number_sales - from - (select 'store' channel, i_brand_id,i_class_id,i_category_id - ,sum(ss_quantity*ss_list_price) sales, count(*) number_sales - from store_sales - ,item - ,date_dim - where ss_item_sk in (select ss_item_sk from cross_items) - and ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and d_week_seq = (select d_week_seq - from date_dim - where d_year = 1998 + 1 - and d_moy = 12 - and d_dom = 16) - group by i_brand_id,i_class_id,i_category_id - having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) this_year, - (select 'store' channel, i_brand_id,i_class_id - ,i_category_id, sum(ss_quantity*ss_list_price) sales, count(*) number_sales - from store_sales - ,item - ,date_dim - where ss_item_sk in (select ss_item_sk from cross_items) - and ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and d_week_seq = (select d_week_seq - from date_dim - where d_year = 1998 - and d_moy = 12 - and d_dom = 16) - group by i_brand_id,i_class_id,i_category_id - having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) last_year - where this_year.i_brand_id= last_year.i_brand_id - and this_year.i_class_id = last_year.i_class_id - and this_year.i_category_id = last_year.i_category_id - order by this_year.channel, this_year.i_brand_id, this_year.i_class_id, this_year.i_category_id - limit 100; +WITH cross_items AS + (SELECT i_item_sk ss_item_sk + FROM item, + (SELECT iss.i_brand_id brand_id , + iss.i_class_id class_id , + iss.i_category_id category_id + FROM store_sales , + item iss , + date_dim d1 + WHERE ss_item_sk = iss.i_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND d1.d_year BETWEEN 1998 AND 1998 + 2 INTERSECT SELECT ics.i_brand_id , + ics.i_class_id , + ics.i_category_id + FROM catalog_sales , + item ics , + date_dim d2 + WHERE cs_item_sk = ics.i_item_sk + AND cs_sold_date_sk = d2.d_date_sk + AND d2.d_year BETWEEN 1998 AND 1998 + 2 INTERSECT SELECT iws.i_brand_id , + iws.i_class_id , + iws.i_category_id + FROM web_sales , + item iws , + date_dim d3 + WHERE ws_item_sk = iws.i_item_sk + AND ws_sold_date_sk = d3.d_date_sk + AND d3.d_year BETWEEN 1998 AND 1998 + 2) + WHERE i_brand_id = brand_id + AND i_class_id = class_id + AND i_category_id = category_id), + avg_sales AS + (SELECT avg(quantity*list_price) average_sales + FROM + (SELECT ss_quantity quantity , + ss_list_price list_price + FROM store_sales , + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_year BETWEEN 1998 AND 1998 + 2 + UNION ALL SELECT cs_quantity quantity , + cs_list_price list_price + FROM catalog_sales , + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_year BETWEEN 1998 AND 1998 + 2 + UNION ALL SELECT ws_quantity quantity , + ws_list_price list_price + FROM web_sales , + date_dim + WHERE ws_sold_date_sk = d_date_sk + AND d_year BETWEEN 1998 AND 1998 + 2) x) +SELECT channel, + i_brand_id, + i_class_id, + i_category_id, + sum(sales), + sum(number_sales) +FROM + (SELECT 'store' channel, + i_brand_id, + i_class_id , + i_category_id, + sum(ss_quantity*ss_list_price) sales , + count(*) number_sales + FROM store_sales , + item , + date_dim + WHERE ss_item_sk IN + (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1998+2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING sum(ss_quantity*ss_list_price) > + (SELECT average_sales + FROM avg_sales) + UNION ALL SELECT 'catalog' channel, + i_brand_id, + i_class_id, + i_category_id, + sum(cs_quantity*cs_list_price) sales, + count(*) number_sales + FROM catalog_sales , + item , + date_dim + WHERE cs_item_sk IN + (SELECT ss_item_sk + FROM cross_items) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1998+2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING sum(cs_quantity*cs_list_price) > + (SELECT average_sales + FROM avg_sales) + UNION ALL SELECT 'web' channel, + i_brand_id, + i_class_id, + i_category_id, + sum(ws_quantity*ws_list_price) sales, + count(*) number_sales + FROM web_sales , + item , + date_dim + WHERE ws_item_sk IN + (SELECT ss_item_sk + FROM cross_items) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1998+2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING sum(ws_quantity*ws_list_price) > + (SELECT average_sales + FROM avg_sales)) y +GROUP BY ROLLUP (channel, + i_brand_id, + i_class_id, + i_category_id) +ORDER BY channel, + i_brand_id, + i_class_id, + i_category_id +LIMIT 100; + +WITH cross_items AS + (SELECT i_item_sk ss_item_sk + FROM item, + + (SELECT iss.i_brand_id brand_id , + iss.i_class_id class_id , + iss.i_category_id category_id + FROM store_sales , + item iss , + date_dim d1 + WHERE ss_item_sk = iss.i_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND d1.d_year BETWEEN 1998 AND 1998 + 2 INTERSECT SELECT ics.i_brand_id , + ics.i_class_id , + ics.i_category_id + FROM catalog_sales , + item ics , + date_dim d2 + WHERE cs_item_sk = ics.i_item_sk + AND cs_sold_date_sk = d2.d_date_sk + AND d2.d_year BETWEEN 1998 AND 1998 + 2 INTERSECT SELECT iws.i_brand_id , + iws.i_class_id , + iws.i_category_id + FROM web_sales , + item iws , + date_dim d3 + WHERE ws_item_sk = iws.i_item_sk + AND ws_sold_date_sk = d3.d_date_sk + AND d3.d_year BETWEEN 1998 AND 1998 + 2) x + WHERE i_brand_id = brand_id + AND i_class_id = class_id + AND i_category_id = category_id), + avg_sales AS + (SELECT avg(quantity*list_price) average_sales + FROM + (SELECT ss_quantity quantity , + ss_list_price list_price + FROM store_sales , + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_year BETWEEN 1998 AND 1998 + 2 + UNION ALL SELECT cs_quantity quantity , + cs_list_price list_price + FROM catalog_sales , + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_year BETWEEN 1998 AND 1998 + 2 + UNION ALL SELECT ws_quantity quantity , + ws_list_price list_price + FROM web_sales , + date_dim + WHERE ws_sold_date_sk = d_date_sk + AND d_year BETWEEN 1998 AND 1998 + 2) x) +SELECT this_year.channel ty_channel , + this_year.i_brand_id ty_brand , + this_year.i_class_id ty_class , + this_year.i_category_id ty_category , + this_year.sales ty_sales , + this_year.number_sales ty_number_sales , + last_year.channel ly_channel , + last_year.i_brand_id ly_brand , + last_year.i_class_id ly_class , + last_year.i_category_id ly_category , + last_year.sales ly_sales , + last_year.number_sales ly_number_sales +FROM + (SELECT 'store' channel, + i_brand_id, + i_class_id, + i_category_id , + sum(ss_quantity*ss_list_price) sales, + count(*) number_sales + FROM store_sales , + item , + date_dim + WHERE ss_item_sk IN + (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_week_seq = + (SELECT d_week_seq + FROM date_dim + WHERE d_year = 1998 + 1 + AND d_moy = 12 + AND d_dom = 16) + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING sum(ss_quantity*ss_list_price) > + (SELECT average_sales + FROM avg_sales)) this_year, + + (SELECT 'store' channel, + i_brand_id, + i_class_id , + i_category_id, + sum(ss_quantity*ss_list_price) sales, + count(*) number_sales + FROM store_sales , + item , + date_dim + WHERE ss_item_sk IN + (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_week_seq = + (SELECT d_week_seq + FROM date_dim + WHERE d_year = 1998 + AND d_moy = 12 + AND d_dom = 16) + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING sum(ss_quantity*ss_list_price) > + (SELECT average_sales + FROM avg_sales)) last_year +WHERE this_year.i_brand_id= last_year.i_brand_id + AND this_year.i_class_id = last_year.i_class_id + AND this_year.i_category_id = last_year.i_category_id +ORDER BY this_year.channel, + this_year.i_brand_id, + this_year.i_class_id, + this_year.i_category_id +LIMIT 100; diff --git a/TPC-DS/queries/query15.sql b/TPC-DS/queries/query15.sql index 39f13d90d49c44054a3a946edaebb63b3cfe467a..da7a66ebfc02e60d8007873c5b12b01bf4026aaa 100644 --- a/TPC-DS/queries/query15.sql +++ b/TPC-DS/queries/query15.sql @@ -1,17 +1,27 @@ -select ca_zip - ,sum(cs_sales_price) - from catalog_sales - ,customer - ,customer_address - ,date_dim - where cs_bill_customer_sk = c_customer_sk - and c_current_addr_sk = ca_address_sk - and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', - '85392', '85460', '80348', '81792') - or ca_state in ('CA','WA','GA') - or cs_sales_price > 500) - and cs_sold_date_sk = d_date_sk - and d_qoy = 2 and d_year = 2000 - group by ca_zip - order by ca_zip - limit 100; +SELECT ca_zip , + sum(cs_sales_price) +FROM catalog_sales , + customer , + customer_address , + date_dim +WHERE cs_bill_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND (substr(ca_zip, 1, 5) IN ('85669', + '86197', + '88274', + '83405', + '86475', + '85392', + '85460', + '80348', + '81792') + OR ca_state IN ('CA', + 'WA', + 'GA') + OR cs_sales_price > 500) + AND cs_sold_date_sk = d_date_sk + AND d_qoy = 2 + AND d_year = 2000 +GROUP BY ca_zip +ORDER BY ca_zip +LIMIT 100; diff --git a/TPC-DS/queries/query16.sql b/TPC-DS/queries/query16.sql index 523e493b38f7c4fd93d373c6005a57eff9717aea..c42c7b1e942c7c32dda2c44d04193040d9a022f1 100644 --- a/TPC-DS/queries/query16.sql +++ b/TPC-DS/queries/query16.sql @@ -1,28 +1,28 @@ -select - count(distinct cs_order_number) as "order count" - ,sum(cs_ext_ship_cost) as "total shipping cost" - ,sum(cs_net_profit) as "total net profit" -from - catalog_sales cs1 - ,date_dim - ,customer_address - ,call_center -where - d_date between '1999-2-01' and - (cast('1999-2-01' as date) + 60 days) -and cs1.cs_ship_date_sk = d_date_sk -and cs1.cs_ship_addr_sk = ca_address_sk -and ca_state = 'IL' -and cs1.cs_call_center_sk = cc_call_center_sk -and cc_county in ('Williamson County','Williamson County','Williamson County','Williamson County', - 'Williamson County' -) -and exists (select * - from catalog_sales cs2 - where cs1.cs_order_number = cs2.cs_order_number - and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk) -and not exists(select * - from catalog_returns cr1 - where cs1.cs_order_number = cr1.cr_order_number) -order by count(distinct cs_order_number) -limit 100; +SELECT count(DISTINCT cs_order_number) AS "order count" , + sum(cs_ext_ship_cost) AS "total shipping cost" , + sum(cs_net_profit) AS "total net profit" +FROM catalog_sales cs1 , + date_dim , + customer_address , + call_center +WHERE d_date BETWEEN '1999-2-01' AND (cast('1999-2-01' AS date) + 60 days) + AND cs1.cs_ship_date_sk = d_date_sk + AND cs1.cs_ship_addr_sk = ca_address_sk + AND ca_state = 'IL' + AND cs1.cs_call_center_sk = cc_call_center_sk + AND cc_county IN ('Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County') + AND EXISTS + (SELECT * + FROM catalog_sales cs2 + WHERE cs1.cs_order_number = cs2.cs_order_number + AND cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk) + AND NOT exists + (SELECT * + FROM catalog_returns cr1 + WHERE cs1.cs_order_number = cr1.cr_order_number) +ORDER BY count(DISTINCT cs_order_number) +LIMIT 100; diff --git a/TPC-DS/queries/query17.sql b/TPC-DS/queries/query17.sql index 8a61664d83e9eede2f422a95d9e6117d9237e54e..9a38d850fc084220919473505284611b65bea228 100644 --- a/TPC-DS/queries/query17.sql +++ b/TPC-DS/queries/query17.sql @@ -1,42 +1,47 @@ -select i_item_id - ,i_item_desc - ,s_state - ,count(ss_quantity) as store_sales_quantitycount - ,avg(ss_quantity) as store_sales_quantityave - ,stddev_samp(ss_quantity) as store_sales_quantitystdev - ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov - ,count(sr_return_quantity) as store_returns_quantitycount - ,avg(sr_return_quantity) as store_returns_quantityave - ,stddev_samp(sr_return_quantity) as store_returns_quantitystdev - ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov - ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave - ,stddev_samp(cs_quantity) as catalog_sales_quantitystdev - ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov - from store_sales - ,store_returns - ,catalog_sales - ,date_dim d1 - ,date_dim d2 - ,date_dim d3 - ,store - ,item - where d1.d_quarter_name = '1998Q1' - and d1.d_date_sk = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and ss_customer_sk = sr_customer_sk - and ss_item_sk = sr_item_sk - and ss_ticket_number = sr_ticket_number - and sr_returned_date_sk = d2.d_date_sk - and d2.d_quarter_name in ('1998Q1','1998Q2','1998Q3') - and sr_customer_sk = cs_bill_customer_sk - and sr_item_sk = cs_item_sk - and cs_sold_date_sk = d3.d_date_sk - and d3.d_quarter_name in ('1998Q1','1998Q2','1998Q3') - group by i_item_id - ,i_item_desc - ,s_state - order by i_item_id - ,i_item_desc - ,s_state -limit 100; +SELECT i_item_id , + i_item_desc , + s_state , + count(ss_quantity) AS store_sales_quantitycount , + avg(ss_quantity) AS store_sales_quantityave , + stddev_samp(ss_quantity) AS store_sales_quantitystdev , + stddev_samp(ss_quantity)/avg(ss_quantity) AS store_sales_quantitycov , + count(sr_return_quantity) AS store_returns_quantitycount , + avg(sr_return_quantity) AS store_returns_quantityave , + stddev_samp(sr_return_quantity) AS store_returns_quantitystdev , + stddev_samp(sr_return_quantity)/avg(sr_return_quantity) AS store_returns_quantitycov , + count(cs_quantity) AS catalog_sales_quantitycount, + avg(cs_quantity) AS catalog_sales_quantityave , + stddev_samp(cs_quantity) AS catalog_sales_quantitystdev , + stddev_samp(cs_quantity)/avg(cs_quantity) AS catalog_sales_quantitycov +FROM store_sales , + store_returns , + catalog_sales , + date_dim d1 , + date_dim d2 , + date_dim d3 , + store , + item +WHERE d1.d_quarter_name = '1998Q1' + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_quarter_name IN ('1998Q1', + '1998Q2', + '1998Q3') + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_quarter_name IN ('1998Q1', + '1998Q2', + '1998Q3') +GROUP BY i_item_id , + i_item_desc , + s_state +ORDER BY i_item_id , + i_item_desc , + s_state +LIMIT 100; diff --git a/TPC-DS/queries/query18.sql b/TPC-DS/queries/query18.sql index a113830be5b47dbfec85dc484f7008a5dea40c7b..ec3ed49b77a5a3679c52cd7b97b0c856c50e33b3 100644 --- a/TPC-DS/queries/query18.sql +++ b/TPC-DS/queries/query18.sql @@ -1,31 +1,49 @@ -select i_item_id, - ca_country, - ca_state, - ca_county, - avg( cast(cs_quantity as decimal(12,2))) agg1, - avg( cast(cs_list_price as decimal(12,2))) agg2, - avg( cast(cs_coupon_amt as decimal(12,2))) agg3, - avg( cast(cs_sales_price as decimal(12,2))) agg4, - avg( cast(cs_net_profit as decimal(12,2))) agg5, - avg( cast(c_birth_year as decimal(12,2))) agg6, - avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7 - from catalog_sales, customer_demographics cd1, - customer_demographics cd2, customer, customer_address, date_dim, item - where cs_sold_date_sk = d_date_sk and - cs_item_sk = i_item_sk and - cs_bill_cdemo_sk = cd1.cd_demo_sk and - cs_bill_customer_sk = c_customer_sk and - cd1.cd_gender = 'M' and - cd1.cd_education_status = 'College' and - c_current_cdemo_sk = cd2.cd_demo_sk and - c_current_addr_sk = ca_address_sk and - c_birth_month in (9,5,12,4,1,10) and - d_year = 2001 and - ca_state in ('ND','WI','AL' - ,'NC','OK','MS','TN') - group by rollup (i_item_id, ca_country, ca_state, ca_county) - order by ca_country, - ca_state, - ca_county, - i_item_id - limit 100; +SELECT i_item_id, + ca_country, + ca_state, + ca_county, + avg(cast(cs_quantity AS decimal(12, 2))) agg1, + avg(cast(cs_list_price AS decimal(12, 2))) agg2, + avg(cast(cs_coupon_amt AS decimal(12, 2))) agg3, + avg(cast(cs_sales_price AS decimal(12, 2))) agg4, + avg(cast(cs_net_profit AS decimal(12, 2))) agg5, + avg(cast(c_birth_year AS decimal(12, 2))) agg6, + avg(cast(cd1.cd_dep_count AS decimal(12, 2))) agg7 +FROM catalog_sales, + customer_demographics cd1, + customer_demographics cd2, + customer, + customer_address, + date_dim, + item +WHERE cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk + AND cs_bill_cdemo_sk = cd1.cd_demo_sk + AND cs_bill_customer_sk = c_customer_sk + AND cd1.cd_gender = 'M' + AND cd1.cd_education_status = 'College' + AND c_current_cdemo_sk = cd2.cd_demo_sk + AND c_current_addr_sk = ca_address_sk + AND c_birth_month IN (9, + 5, + 12, + 4, + 1, + 10) + AND d_year = 2001 + AND ca_state IN ('ND', + 'WI', + 'AL' , + 'NC', + 'OK', + 'MS', + 'TN') +GROUP BY ROLLUP (i_item_id, + ca_country, + ca_state, + ca_county) +ORDER BY ca_country, + ca_state, + ca_county, + i_item_id +LIMIT 100; diff --git a/TPC-DS/queries/query19.sql b/TPC-DS/queries/query19.sql index a2b74cbb004e0ec0a2aaec45d4c48acac2c6d2e3..9b797660a2a7bb04b194e2b31a69d4106cb4c099 100644 --- a/TPC-DS/queries/query19.sql +++ b/TPC-DS/queries/query19.sql @@ -1,22 +1,30 @@ -select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact, - sum(ss_ext_sales_price) ext_price - from date_dim, store_sales, item,customer,customer_address,store - where d_date_sk = ss_sold_date_sk - and ss_item_sk = i_item_sk - and i_manager_id=7 - and d_moy=11 - and d_year=1999 - and ss_customer_sk = c_customer_sk - and c_current_addr_sk = ca_address_sk - and substr(ca_zip,1,5) <> substr(s_zip,1,5) - and ss_store_sk = s_store_sk - group by i_brand - ,i_brand_id - ,i_manufact_id - ,i_manufact - order by ext_price desc - ,i_brand - ,i_brand_id - ,i_manufact_id - ,i_manufact -limit 100 ; +SELECT i_brand_id brand_id, + i_brand brand, + i_manufact_id, + i_manufact, + sum(ss_ext_sales_price) ext_price +FROM date_dim, + store_sales, + item, + customer, + customer_address, + store +WHERE d_date_sk = ss_sold_date_sk + AND ss_item_sk = i_item_sk + AND i_manager_id=7 + AND d_moy=11 + AND d_year=1999 + AND ss_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5) + AND ss_store_sk = s_store_sk +GROUP BY i_brand , + i_brand_id , + i_manufact_id , + i_manufact +ORDER BY ext_price DESC , + i_brand , + i_brand_id , + i_manufact_id , + i_manufact +LIMIT 100 ; diff --git a/TPC-DS/queries/query2.sql b/TPC-DS/queries/query2.sql index 7299cde814324c9ff67b9816bc227609a6f18f15..e5b9b7bc260f65800550bfc505c99c9dce2cdb12 100644 --- a/TPC-DS/queries/query2.sql +++ b/TPC-DS/queries/query2.sql @@ -1,57 +1,80 @@ -with wscs as - (select sold_date_sk - ,sales_price - from (select ws_sold_date_sk sold_date_sk - ,ws_ext_sales_price sales_price - from web_sales - union all - select cs_sold_date_sk sold_date_sk - ,cs_ext_sales_price sales_price - from catalog_sales)), - wswscs as - (select d_week_seq, - sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales, - sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales, - sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales, - sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales, - sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales, - sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales, - sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales - from wscs - ,date_dim - where d_date_sk = sold_date_sk - group by d_week_seq) - select d_week_seq1 - ,round(sun_sales1/sun_sales2,2) - ,round(mon_sales1/mon_sales2,2) - ,round(tue_sales1/tue_sales2,2) - ,round(wed_sales1/wed_sales2,2) - ,round(thu_sales1/thu_sales2,2) - ,round(fri_sales1/fri_sales2,2) - ,round(sat_sales1/sat_sales2,2) - from - (select wswscs.d_week_seq d_week_seq1 - ,sun_sales sun_sales1 - ,mon_sales mon_sales1 - ,tue_sales tue_sales1 - ,wed_sales wed_sales1 - ,thu_sales thu_sales1 - ,fri_sales fri_sales1 - ,sat_sales sat_sales1 - from wswscs,date_dim - where date_dim.d_week_seq = wswscs.d_week_seq and - d_year = 2001) y, - (select wswscs.d_week_seq d_week_seq2 - ,sun_sales sun_sales2 - ,mon_sales mon_sales2 - ,tue_sales tue_sales2 - ,wed_sales wed_sales2 - ,thu_sales thu_sales2 - ,fri_sales fri_sales2 - ,sat_sales sat_sales2 - from wswscs - ,date_dim - where date_dim.d_week_seq = wswscs.d_week_seq and - d_year = 2001+1) z - where d_week_seq1=d_week_seq2-53 - order by d_week_seq1; +WITH wscs AS + (SELECT sold_date_sk , + sales_price + FROM + (SELECT ws_sold_date_sk sold_date_sk , + ws_ext_sales_price sales_price + FROM web_sales + UNION ALL SELECT cs_sold_date_sk sold_date_sk , + cs_ext_sales_price sales_price + FROM catalog_sales)), + wswscs AS + (SELECT d_week_seq, + sum(CASE + WHEN (d_day_name='Sunday') THEN sales_price + ELSE NULL + END) sun_sales, + sum(CASE + WHEN (d_day_name='Monday') THEN sales_price + ELSE NULL + END) mon_sales, + sum(CASE + WHEN (d_day_name='Tuesday') THEN sales_price + ELSE NULL + END) tue_sales, + sum(CASE + WHEN (d_day_name='Wednesday') THEN sales_price + ELSE NULL + END) wed_sales, + sum(CASE + WHEN (d_day_name='Thursday') THEN sales_price + ELSE NULL + END) thu_sales, + sum(CASE + WHEN (d_day_name='Friday') THEN sales_price + ELSE NULL + END) fri_sales, + sum(CASE + WHEN (d_day_name='Saturday') THEN sales_price + ELSE NULL + END) sat_sales + FROM wscs , + date_dim + WHERE d_date_sk = sold_date_sk + GROUP BY d_week_seq) +SELECT d_week_seq1 , + round(sun_sales1/sun_sales2, 2) , + round(mon_sales1/mon_sales2, 2) , + round(tue_sales1/tue_sales2, 2) , + round(wed_sales1/wed_sales2, 2) , + round(thu_sales1/thu_sales2, 2) , + round(fri_sales1/fri_sales2, 2) , + round(sat_sales1/sat_sales2, 2) +FROM + (SELECT wswscs.d_week_seq d_week_seq1 , + sun_sales sun_sales1 , + mon_sales mon_sales1 , + tue_sales tue_sales1 , + wed_sales wed_sales1 , + thu_sales thu_sales1 , + fri_sales fri_sales1 , + sat_sales sat_sales1 + FROM wswscs, + date_dim + WHERE date_dim.d_week_seq = wswscs.d_week_seq + AND d_year = 2001) y, + + (SELECT wswscs.d_week_seq d_week_seq2 , + sun_sales sun_sales2 , + mon_sales mon_sales2 , + tue_sales tue_sales2 , + wed_sales wed_sales2 , + thu_sales thu_sales2 , + fri_sales fri_sales2 , + sat_sales sat_sales2 + FROM wswscs , + date_dim + WHERE date_dim.d_week_seq = wswscs.d_week_seq + AND d_year = 2001+1) z +WHERE d_week_seq1=d_week_seq2-53 +ORDER BY d_week_seq1; diff --git a/TPC-DS/queries/query20.sql b/TPC-DS/queries/query20.sql index 94472c4acd4c90cd02d4d31dccab58414c69dd32..f60f1880314407fafa24e788ebc9c0b92059cb84 100644 --- a/TPC-DS/queries/query20.sql +++ b/TPC-DS/queries/query20.sql @@ -1,27 +1,27 @@ -select i_item_id - ,i_item_desc - ,i_category - ,i_class - ,i_current_price - ,sum(cs_ext_sales_price) as itemrevenue - ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over - (partition by i_class) as revenueratio - from catalog_sales - ,item - ,date_dim - where cs_item_sk = i_item_sk - and i_category in ('Jewelry', 'Sports', 'Books') - and cs_sold_date_sk = d_date_sk - and d_date between cast('2001-01-12' as date) - and (cast('2001-01-12' as date) + 30 days) - group by i_item_id - ,i_item_desc - ,i_category - ,i_class - ,i_current_price - order by i_category - ,i_class - ,i_item_id - ,i_item_desc - ,revenueratio -limit 100; +SELECT i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + sum(cs_ext_sales_price) AS itemrevenue , + sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio +FROM catalog_sales , + item , + date_dim +WHERE cs_item_sk = i_item_sk + AND i_category IN ('Jewelry', + 'Sports', + 'Books') + AND cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-01-12' AS date) AND (cast('2001-01-12' AS date) + 30 days) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio +LIMIT 100; diff --git a/TPC-DS/queries/query21.sql b/TPC-DS/queries/query21.sql index 0fbb84c644c28105eea9eee69871a901beeb2a41..bfaa31ac4d97d7c45a0c731fb9e3b703fd858eef 100644 --- a/TPC-DS/queries/query21.sql +++ b/TPC-DS/queries/query21.sql @@ -1,27 +1,30 @@ -select * - from(select w_warehouse_name - ,i_item_id - ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date)) - then inv_quantity_on_hand - else 0 end) as inv_before - ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date)) - then inv_quantity_on_hand - else 0 end) as inv_after - from inventory - ,warehouse - ,item - ,date_dim - where i_current_price between 0.99 and 1.49 - and i_item_sk = inv_item_sk - and inv_warehouse_sk = w_warehouse_sk - and inv_date_sk = d_date_sk - and d_date between (cast ('1998-04-08' as date) - 30 days) - and (cast ('1998-04-08' as date) + 30 days) - group by w_warehouse_name, i_item_id) x - where (case when inv_before > 0 - then inv_after / inv_before - else null - end) between 2.0/3.0 and 3.0/2.0 - order by w_warehouse_name - ,i_item_id - limit 100; +SELECT * +FROM + (SELECT w_warehouse_name , + i_item_id , + sum(CASE + WHEN (cast(d_date AS date) < CAST ('1998-04-08' AS date)) THEN inv_quantity_on_hand + ELSE 0 + END) AS inv_before , + sum(CASE + WHEN (cast(d_date AS date) >= CAST ('1998-04-08' AS date)) THEN inv_quantity_on_hand + ELSE 0 + END) AS inv_after + FROM inventory , + warehouse , + item , + date_dim + WHERE i_current_price BETWEEN 0.99 AND 1.49 + AND i_item_sk = inv_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_date BETWEEN (CAST ('1998-04-08' AS date) - 30 days) AND (CAST ('1998-04-08' AS date) + 30 days) + GROUP BY w_warehouse_name, + i_item_id) x +WHERE (CASE + WHEN inv_before > 0 THEN inv_after / inv_before + ELSE NULL + END) BETWEEN 2.0/3.0 AND 3.0/2.0 +ORDER BY w_warehouse_name , + i_item_id +LIMIT 100; diff --git a/TPC-DS/queries/query22.sql b/TPC-DS/queries/query22.sql index 7a6aab65557619c7a412c5cf1347a3163cd3a974..f4b1708560384d3c83b13bafb8dd854c4ff0470e 100644 --- a/TPC-DS/queries/query22.sql +++ b/TPC-DS/queries/query22.sql @@ -1,17 +1,18 @@ -select i_product_name - ,i_brand - ,i_class - ,i_category - ,avg(inv_quantity_on_hand) qoh - from inventory - ,date_dim - ,item - where inv_date_sk=d_date_sk - and inv_item_sk=i_item_sk - and d_month_seq between 1212 and 1212 + 11 - group by rollup(i_product_name - ,i_brand - ,i_class - ,i_category) -order by qoh, i_product_name, i_brand, i_class, i_category -limit 100; +SELECT i_product_name , + i_brand , + i_class , + i_category , + avg(inv_quantity_on_hand) qoh +FROM inventory , + date_dim , + item +WHERE inv_date_sk=d_date_sk + AND inv_item_sk=i_item_sk + AND d_month_seq BETWEEN 1212 AND 1212 + 11 +GROUP BY rollup(i_product_name , i_brand , i_class , i_category) +ORDER BY qoh, + i_product_name, + i_brand, + i_class, + i_category +LIMIT 100; diff --git a/TPC-DS/queries/query23.sql b/TPC-DS/queries/query23.sql index 2d7ac3d7c2c1c507525271b14e2a5753d5514e09..7345e8824aef7a1fa9921b9454d63102f288307e 100644 --- a/TPC-DS/queries/query23.sql +++ b/TPC-DS/queries/query23.sql @@ -1,104 +1,158 @@ -with frequent_ss_items as - (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt - from store_sales - ,date_dim - ,item - where ss_sold_date_sk = d_date_sk - and ss_item_sk = i_item_sk - and d_year in (1999,1999+1,1999+2,1999+3) - group by substr(i_item_desc,1,30),i_item_sk,d_date - having count(*) >4), - max_store_sales as - (select max(csales) tpcds_cmax - from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales - from store_sales - ,customer - ,date_dim - where ss_customer_sk = c_customer_sk - and ss_sold_date_sk = d_date_sk - and d_year in (1999,1999+1,1999+2,1999+3) - group by c_customer_sk)), - best_ss_customer as - (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales - from store_sales - ,customer - where ss_customer_sk = c_customer_sk - group by c_customer_sk - having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select - * -from - max_store_sales)) - select sum(sales) - from (select cs_quantity*cs_list_price sales - from catalog_sales - ,date_dim - where d_year = 1999 - and d_moy = 1 - and cs_sold_date_sk = d_date_sk - and cs_item_sk in (select item_sk from frequent_ss_items) - and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer) - union all - select ws_quantity*ws_list_price sales - from web_sales - ,date_dim - where d_year = 1999 - and d_moy = 1 - and ws_sold_date_sk = d_date_sk - and ws_item_sk in (select item_sk from frequent_ss_items) - and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)) - limit 100; -with frequent_ss_items as - (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt - from store_sales - ,date_dim - ,item - where ss_sold_date_sk = d_date_sk - and ss_item_sk = i_item_sk - and d_year in (1999,1999 + 1,1999 + 2,1999 + 3) - group by substr(i_item_desc,1,30),i_item_sk,d_date - having count(*) >4), - max_store_sales as - (select max(csales) tpcds_cmax - from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales - from store_sales - ,customer - ,date_dim - where ss_customer_sk = c_customer_sk - and ss_sold_date_sk = d_date_sk - and d_year in (1999,1999+1,1999+2,1999+3) - group by c_customer_sk)), - best_ss_customer as - (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales - from store_sales - ,customer - where ss_customer_sk = c_customer_sk - group by c_customer_sk - having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select - * - from max_store_sales)) - select c_last_name,c_first_name,sales - from (select c_last_name,c_first_name,sum(cs_quantity*cs_list_price) sales - from catalog_sales - ,customer - ,date_dim - where d_year = 1999 - and d_moy = 1 - and cs_sold_date_sk = d_date_sk - and cs_item_sk in (select item_sk from frequent_ss_items) - and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer) - and cs_bill_customer_sk = c_customer_sk - group by c_last_name,c_first_name - union all - select c_last_name,c_first_name,sum(ws_quantity*ws_list_price) sales - from web_sales - ,customer - ,date_dim - where d_year = 1999 - and d_moy = 1 - and ws_sold_date_sk = d_date_sk - and ws_item_sk in (select item_sk from frequent_ss_items) - and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer) - and ws_bill_customer_sk = c_customer_sk - group by c_last_name,c_first_name) - order by c_last_name,c_first_name,sales - limit 100; +WITH frequent_ss_items AS + (SELECT substr(i_item_desc, 1, 30) itemdesc, + i_item_sk item_sk, + d_date solddate, + count(*) cnt + FROM store_sales , + date_dim , + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND d_year IN (1999, + 1999+1, + 1999+2, + 1999+3) + GROUP BY substr(i_item_desc, 1, 30), + i_item_sk, + d_date + HAVING count(*) >4), + max_store_sales AS + (SELECT max(csales) tpcds_cmax + FROM + (SELECT c_customer_sk, + sum(ss_quantity*ss_sales_price) csales + FROM store_sales , + customer , + date_dim + WHERE ss_customer_sk = c_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN (1999, + 1999+1, + 1999+2, + 1999+3) + GROUP BY c_customer_sk)), + best_ss_customer AS + (SELECT c_customer_sk, + sum(ss_quantity*ss_sales_price) ssales + FROM store_sales , + customer + WHERE ss_customer_sk = c_customer_sk + GROUP BY c_customer_sk + HAVING sum(ss_quantity*ss_sales_price) > (95/100.0) * + (SELECT * + FROM max_store_sales)) +SELECT sum(sales) +FROM + (SELECT cs_quantity*cs_list_price sales + FROM catalog_sales , + date_dim + WHERE d_year = 1999 + AND d_moy = 1 + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk IN + (SELECT item_sk + FROM frequent_ss_items) + AND cs_bill_customer_sk IN + (SELECT c_customer_sk + FROM best_ss_customer) + UNION ALL SELECT ws_quantity*ws_list_price sales + FROM web_sales , + date_dim + WHERE d_year = 1999 + AND d_moy = 1 + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk IN + (SELECT item_sk + FROM frequent_ss_items) + AND ws_bill_customer_sk IN + (SELECT c_customer_sk + FROM best_ss_customer)) +LIMIT 100; + +WITH frequent_ss_items AS + (SELECT substr(i_item_desc, 1, 30) itemdesc, + i_item_sk item_sk, + d_date solddate, + count(*) cnt + FROM store_sales , + date_dim , + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND d_year IN (1999, + 1999 + 1, + 1999 + 2, + 1999 + 3) + GROUP BY substr(i_item_desc, 1, 30), + i_item_sk, + d_date + HAVING count(*) >4), + max_store_sales AS + (SELECT max(csales) tpcds_cmax + FROM + (SELECT c_customer_sk, + sum(ss_quantity*ss_sales_price) csales + FROM store_sales , + customer , + date_dim + WHERE ss_customer_sk = c_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN (1999, + 1999+1, + 1999+2, + 1999+3) + GROUP BY c_customer_sk)), + best_ss_customer AS + (SELECT c_customer_sk, + sum(ss_quantity*ss_sales_price) ssales + FROM store_sales , + customer + WHERE ss_customer_sk = c_customer_sk + GROUP BY c_customer_sk + HAVING sum(ss_quantity*ss_sales_price) > (95/100.0) * + (SELECT * + FROM max_store_sales)) +SELECT c_last_name, + c_first_name, + sales +FROM + (SELECT c_last_name, + c_first_name, + sum(cs_quantity*cs_list_price) sales + FROM catalog_sales , + customer , + date_dim + WHERE d_year = 1999 + AND d_moy = 1 + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk IN + (SELECT item_sk + FROM frequent_ss_items) + AND cs_bill_customer_sk IN + (SELECT c_customer_sk + FROM best_ss_customer) + AND cs_bill_customer_sk = c_customer_sk + GROUP BY c_last_name, + c_first_name + UNION ALL SELECT c_last_name, + c_first_name, + sum(ws_quantity*ws_list_price) sales + FROM web_sales , + customer , + date_dim + WHERE d_year = 1999 + AND d_moy = 1 + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk IN + (SELECT item_sk + FROM frequent_ss_items) + AND ws_bill_customer_sk IN + (SELECT c_customer_sk + FROM best_ss_customer) + AND ws_bill_customer_sk = c_customer_sk + GROUP BY c_last_name, + c_first_name) +ORDER BY c_last_name, + c_first_name, + sales +LIMIT 100; diff --git a/TPC-DS/queries/query24.sql b/TPC-DS/queries/query24.sql index 760e5917f4721ebef2a4cc3d77814fae12b0bf7f..08b8dfeb8ae433dc0d7bffaf34c2765596941153 100644 --- a/TPC-DS/queries/query24.sql +++ b/TPC-DS/queries/query24.sql @@ -1,104 +1,105 @@ -with ssales as -(select c_last_name - ,c_first_name - ,s_store_name - ,ca_state - ,s_state - ,i_color - ,i_current_price - ,i_manager_id - ,i_units - ,i_size - ,sum(ss_sales_price) netpaid -from store_sales - ,store_returns - ,store - ,item - ,customer - ,customer_address -where ss_ticket_number = sr_ticket_number - and ss_item_sk = sr_item_sk - and ss_customer_sk = c_customer_sk - and ss_item_sk = i_item_sk - and ss_store_sk = s_store_sk - and c_current_addr_sk = ca_address_sk - and c_birth_country <> upper(ca_country) - and s_zip = ca_zip -and s_market_id=7 -group by c_last_name - ,c_first_name - ,s_store_name - ,ca_state - ,s_state - ,i_color - ,i_current_price - ,i_manager_id - ,i_units - ,i_size) -select c_last_name - ,c_first_name - ,s_store_name - ,sum(netpaid) paid -from ssales -where i_color = 'orchid' -group by c_last_name - ,c_first_name - ,s_store_name -having sum(netpaid) > (select 0.05*avg(netpaid) - from ssales) -order by c_last_name - ,c_first_name - ,s_store_name -; -with ssales as -(select c_last_name - ,c_first_name - ,s_store_name - ,ca_state - ,s_state - ,i_color - ,i_current_price - ,i_manager_id - ,i_units - ,i_size - ,sum(ss_sales_price) netpaid -from store_sales - ,store_returns - ,store - ,item - ,customer - ,customer_address -where ss_ticket_number = sr_ticket_number - and ss_item_sk = sr_item_sk - and ss_customer_sk = c_customer_sk - and ss_item_sk = i_item_sk - and ss_store_sk = s_store_sk - and c_current_addr_sk = ca_address_sk - and c_birth_country <> upper(ca_country) - and s_zip = ca_zip - and s_market_id = 7 -group by c_last_name - ,c_first_name - ,s_store_name - ,ca_state - ,s_state - ,i_color - ,i_current_price - ,i_manager_id - ,i_units - ,i_size) -select c_last_name - ,c_first_name - ,s_store_name - ,sum(netpaid) paid -from ssales -where i_color = 'chiffon' -group by c_last_name - ,c_first_name - ,s_store_name -having sum(netpaid) > (select 0.05*avg(netpaid) - from ssales) -order by c_last_name - ,c_first_name - ,s_store_name -; +WITH ssales AS + (SELECT c_last_name , + c_first_name , + s_store_name , + ca_state , + s_state , + i_color , + i_current_price , + i_manager_id , + i_units , + i_size , + sum(ss_sales_price) netpaid + FROM store_sales , + store_returns , + store , + item , + customer , + customer_address + WHERE ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_customer_sk = c_customer_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND c_current_addr_sk = ca_address_sk + AND c_birth_country <> upper(ca_country) + AND s_zip = ca_zip + AND s_market_id=7 + GROUP BY c_last_name , + c_first_name , + s_store_name , + ca_state , + s_state , + i_color , + i_current_price , + i_manager_id , + i_units , + i_size) +SELECT c_last_name , + c_first_name , + s_store_name , + sum(netpaid) paid +FROM ssales +WHERE i_color = 'orchid' +GROUP BY c_last_name , + c_first_name , + s_store_name +HAVING sum(netpaid) > + (SELECT 0.05*avg(netpaid) + FROM ssales) +ORDER BY c_last_name , + c_first_name , + s_store_name ; + +WITH ssales AS + (SELECT c_last_name , + c_first_name , + s_store_name , + ca_state , + s_state , + i_color , + i_current_price , + i_manager_id , + i_units , + i_size , + sum(ss_sales_price) netpaid + FROM store_sales , + store_returns , + store , + item , + customer , + customer_address + WHERE ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_customer_sk = c_customer_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND c_current_addr_sk = ca_address_sk + AND c_birth_country <> upper(ca_country) + AND s_zip = ca_zip + AND s_market_id = 7 + GROUP BY c_last_name , + c_first_name , + s_store_name , + ca_state , + s_state , + i_color , + i_current_price , + i_manager_id , + i_units , + i_size) +SELECT c_last_name , + c_first_name , + s_store_name , + sum(netpaid) paid +FROM ssales +WHERE i_color = 'chiffon' +GROUP BY c_last_name , + c_first_name , + s_store_name +HAVING sum(netpaid) > + (SELECT 0.05*avg(netpaid) + FROM ssales) +ORDER BY c_last_name , + c_first_name , + s_store_name ; diff --git a/TPC-DS/queries/query25.sql b/TPC-DS/queries/query25.sql index 45071c93b7ad05f134d8787c2ae00de559f0ee6a..2ead12a5ba37c0e07358a3dc9d80b0d6d54ebf1d 100644 --- a/TPC-DS/queries/query25.sql +++ b/TPC-DS/queries/query25.sql @@ -1,45 +1,40 @@ -select - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - ,sum(ss_net_profit) as store_sales_profit - ,sum(sr_net_loss) as store_returns_loss - ,sum(cs_net_profit) as catalog_sales_profit - from - store_sales - ,store_returns - ,catalog_sales - ,date_dim d1 - ,date_dim d2 - ,date_dim d3 - ,store - ,item - where - d1.d_moy = 4 - and d1.d_year = 2000 - and d1.d_date_sk = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and ss_customer_sk = sr_customer_sk - and ss_item_sk = sr_item_sk - and ss_ticket_number = sr_ticket_number - and sr_returned_date_sk = d2.d_date_sk - and d2.d_moy between 4 and 10 - and d2.d_year = 2000 - and sr_customer_sk = cs_bill_customer_sk - and sr_item_sk = cs_item_sk - and cs_sold_date_sk = d3.d_date_sk - and d3.d_moy between 4 and 10 - and d3.d_year = 2000 - group by - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - order by - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - limit 100; +SELECT i_item_id , + i_item_desc , + s_store_id , + s_store_name , + sum(ss_net_profit) AS store_sales_profit , + sum(sr_net_loss) AS store_returns_loss , + sum(cs_net_profit) AS catalog_sales_profit +FROM store_sales , + store_returns , + catalog_sales , + date_dim d1 , + date_dim d2 , + date_dim d3 , + store , + item +WHERE d1.d_moy = 4 + AND d1.d_year = 2000 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_moy BETWEEN 4 AND 10 + AND d2.d_year = 2000 + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_moy BETWEEN 4 AND 10 + AND d3.d_year = 2000 +GROUP BY i_item_id , + i_item_desc , + s_store_id , + s_store_name +ORDER BY i_item_id , + i_item_desc , + s_store_id , + s_store_name +LIMIT 100; diff --git a/TPC-DS/queries/query26.sql b/TPC-DS/queries/query26.sql index 67be46ff7e36ad4d70bd3ae89f402789177e3749..2bd89f2d7ca467b8eb7a9e5876c5cd5950da7d12 100644 --- a/TPC-DS/queries/query26.sql +++ b/TPC-DS/queries/query26.sql @@ -1,18 +1,23 @@ -select i_item_id, - avg(cs_quantity) agg1, - avg(cs_list_price) agg2, - avg(cs_coupon_amt) agg3, - avg(cs_sales_price) agg4 - from catalog_sales, customer_demographics, date_dim, item, promotion - where cs_sold_date_sk = d_date_sk and - cs_item_sk = i_item_sk and - cs_bill_cdemo_sk = cd_demo_sk and - cs_promo_sk = p_promo_sk and - cd_gender = 'F' and - cd_marital_status = 'W' and - cd_education_status = 'Primary' and - (p_channel_email = 'N' or p_channel_event = 'N') and - d_year = 1998 - group by i_item_id - order by i_item_id - limit 100; +SELECT i_item_id, + avg(cs_quantity) agg1, + avg(cs_list_price) agg2, + avg(cs_coupon_amt) agg3, + avg(cs_sales_price) agg4 +FROM catalog_sales, + customer_demographics, + date_dim, + item, + promotion +WHERE cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk + AND cs_bill_cdemo_sk = cd_demo_sk + AND cs_promo_sk = p_promo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = 'Primary' + AND (p_channel_email = 'N' + OR p_channel_event = 'N') + AND d_year = 1998 +GROUP BY i_item_id +ORDER BY i_item_id +LIMIT 100; diff --git a/TPC-DS/queries/query27.sql b/TPC-DS/queries/query27.sql index efa1f3b62987250cb78f4a981b08a29d0ae84e03..8c405ccaf11fb3f479896a287b96a1cf6bcb44a5 100644 --- a/TPC-DS/queries/query27.sql +++ b/TPC-DS/queries/query27.sql @@ -1,20 +1,31 @@ -select i_item_id, - s_state, grouping(s_state) g_state, - avg(ss_quantity) agg1, - avg(ss_list_price) agg2, - avg(ss_coupon_amt) agg3, - avg(ss_sales_price) agg4 - from store_sales, customer_demographics, date_dim, store, item - where ss_sold_date_sk = d_date_sk and - ss_item_sk = i_item_sk and - ss_store_sk = s_store_sk and - ss_cdemo_sk = cd_demo_sk and - cd_gender = 'F' and - cd_marital_status = 'W' and - cd_education_status = 'Primary' and - d_year = 1998 and - s_state in ('TN','TN', 'TN', 'TN', 'TN', 'TN') - group by rollup (i_item_id, s_state) - order by i_item_id - ,s_state - limit 100; +SELECT i_item_id, + s_state, + grouping(s_state) g_state, + avg(ss_quantity) agg1, + avg(ss_list_price) agg2, + avg(ss_coupon_amt) agg3, + avg(ss_sales_price) agg4 +FROM store_sales, + customer_demographics, + date_dim, + store, + item +WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND ss_cdemo_sk = cd_demo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = 'Primary' + AND d_year = 1998 + AND s_state IN ('TN', + 'TN', + 'TN', + 'TN', + 'TN', + 'TN') +GROUP BY ROLLUP (i_item_id, + s_state) +ORDER BY i_item_id , + s_state +LIMIT 100; diff --git a/TPC-DS/queries/query28.sql b/TPC-DS/queries/query28.sql index 1166aace1ba68406cedf0bd67dfbe7eccf260c22..587dfbaac218ac7f709f318f922fba49bfa84f41 100644 --- a/TPC-DS/queries/query28.sql +++ b/TPC-DS/queries/query28.sql @@ -1,50 +1,56 @@ -select * -from (select avg(ss_list_price) B1_LP - ,count(ss_list_price) B1_CNT - ,count(distinct ss_list_price) B1_CNTD - from store_sales - where ss_quantity between 0 and 5 - and (ss_list_price between 11 and 11+10 - or ss_coupon_amt between 460 and 460+1000 - or ss_wholesale_cost between 14 and 14+20)) B1, - (select avg(ss_list_price) B2_LP - ,count(ss_list_price) B2_CNT - ,count(distinct ss_list_price) B2_CNTD - from store_sales - where ss_quantity between 6 and 10 - and (ss_list_price between 91 and 91+10 - or ss_coupon_amt between 1430 and 1430+1000 - or ss_wholesale_cost between 32 and 32+20)) B2, - (select avg(ss_list_price) B3_LP - ,count(ss_list_price) B3_CNT - ,count(distinct ss_list_price) B3_CNTD - from store_sales - where ss_quantity between 11 and 15 - and (ss_list_price between 66 and 66+10 - or ss_coupon_amt between 920 and 920+1000 - or ss_wholesale_cost between 4 and 4+20)) B3, - (select avg(ss_list_price) B4_LP - ,count(ss_list_price) B4_CNT - ,count(distinct ss_list_price) B4_CNTD - from store_sales - where ss_quantity between 16 and 20 - and (ss_list_price between 142 and 142+10 - or ss_coupon_amt between 3054 and 3054+1000 - or ss_wholesale_cost between 80 and 80+20)) B4, - (select avg(ss_list_price) B5_LP - ,count(ss_list_price) B5_CNT - ,count(distinct ss_list_price) B5_CNTD - from store_sales - where ss_quantity between 21 and 25 - and (ss_list_price between 135 and 135+10 - or ss_coupon_amt between 14180 and 14180+1000 - or ss_wholesale_cost between 38 and 38+20)) B5, - (select avg(ss_list_price) B6_LP - ,count(ss_list_price) B6_CNT - ,count(distinct ss_list_price) B6_CNTD - from store_sales - where ss_quantity between 26 and 30 - and (ss_list_price between 28 and 28+10 - or ss_coupon_amt between 2513 and 2513+1000 - or ss_wholesale_cost between 42 and 42+20)) B6 -limit 100; +SELECT * +FROM + (SELECT avg(ss_list_price) B1_LP , + count(ss_list_price) B1_CNT , + count(DISTINCT ss_list_price) B1_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 0 AND 5 + AND (ss_list_price BETWEEN 11 AND 11+10 + OR ss_coupon_amt BETWEEN 460 AND 460+1000 + OR ss_wholesale_cost BETWEEN 14 AND 14+20)) B1, + + (SELECT avg(ss_list_price) B2_LP , + count(ss_list_price) B2_CNT , + count(DISTINCT ss_list_price) B2_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 6 AND 10 + AND (ss_list_price BETWEEN 91 AND 91+10 + OR ss_coupon_amt BETWEEN 1430 AND 1430+1000 + OR ss_wholesale_cost BETWEEN 32 AND 32+20)) B2, + + (SELECT avg(ss_list_price) B3_LP , + count(ss_list_price) B3_CNT , + count(DISTINCT ss_list_price) B3_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 11 AND 15 + AND (ss_list_price BETWEEN 66 AND 66+10 + OR ss_coupon_amt BETWEEN 920 AND 920+1000 + OR ss_wholesale_cost BETWEEN 4 AND 4+20)) B3, + + (SELECT avg(ss_list_price) B4_LP , + count(ss_list_price) B4_CNT , + count(DISTINCT ss_list_price) B4_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 16 AND 20 + AND (ss_list_price BETWEEN 142 AND 142+10 + OR ss_coupon_amt BETWEEN 3054 AND 3054+1000 + OR ss_wholesale_cost BETWEEN 80 AND 80+20)) B4, + + (SELECT avg(ss_list_price) B5_LP , + count(ss_list_price) B5_CNT , + count(DISTINCT ss_list_price) B5_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 25 + AND (ss_list_price BETWEEN 135 AND 135+10 + OR ss_coupon_amt BETWEEN 14180 AND 14180+1000 + OR ss_wholesale_cost BETWEEN 38 AND 38+20)) B5, + + (SELECT avg(ss_list_price) B6_LP , + count(ss_list_price) B6_CNT , + count(DISTINCT ss_list_price) B6_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 26 AND 30 + AND (ss_list_price BETWEEN 28 AND 28+10 + OR ss_coupon_amt BETWEEN 2513 AND 2513+1000 + OR ss_wholesale_cost BETWEEN 42 AND 42+20)) B6 +LIMIT 100; diff --git a/TPC-DS/queries/query29.sql b/TPC-DS/queries/query29.sql index 8d836572e97bb2f4a8a7514d14e7d8ea76788e75..0efa59043ec8818a4ceb64aa3b6877076e8b0005 100644 --- a/TPC-DS/queries/query29.sql +++ b/TPC-DS/queries/query29.sql @@ -1,44 +1,41 @@ -select - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - ,sum(ss_quantity) as store_sales_quantity - ,sum(sr_return_quantity) as store_returns_quantity - ,sum(cs_quantity) as catalog_sales_quantity - from - store_sales - ,store_returns - ,catalog_sales - ,date_dim d1 - ,date_dim d2 - ,date_dim d3 - ,store - ,item - where - d1.d_moy = 4 - and d1.d_year = 1999 - and d1.d_date_sk = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and ss_customer_sk = sr_customer_sk - and ss_item_sk = sr_item_sk - and ss_ticket_number = sr_ticket_number - and sr_returned_date_sk = d2.d_date_sk - and d2.d_moy between 4 and 4 + 3 - and d2.d_year = 1999 - and sr_customer_sk = cs_bill_customer_sk - and sr_item_sk = cs_item_sk - and cs_sold_date_sk = d3.d_date_sk - and d3.d_year in (1999,1999+1,1999+2) - group by - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - order by - i_item_id - ,i_item_desc - ,s_store_id - ,s_store_name - limit 100; +SELECT i_item_id , + i_item_desc , + s_store_id , + s_store_name , + sum(ss_quantity) AS store_sales_quantity , + sum(sr_return_quantity) AS store_returns_quantity , + sum(cs_quantity) AS catalog_sales_quantity +FROM store_sales , + store_returns , + catalog_sales , + date_dim d1 , + date_dim d2 , + date_dim d3 , + store , + item +WHERE d1.d_moy = 4 + AND d1.d_year = 1999 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_moy BETWEEN 4 AND 4 + 3 + AND d2.d_year = 1999 + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_year IN (1999, + 1999+1, + 1999+2) +GROUP BY i_item_id , + i_item_desc , + s_store_id , + s_store_name +ORDER BY i_item_id , + i_item_desc , + s_store_id , + s_store_name +LIMIT 100; diff --git a/TPC-DS/queries/query3.sql b/TPC-DS/queries/query3.sql index abad1f6ba6af03edb1c249f355c154e9343be675..57d1813b9940ae54c762bfedd0797481997a60ca 100644 --- a/TPC-DS/queries/query3.sql +++ b/TPC-DS/queries/query3.sql @@ -1,18 +1,18 @@ -select dt.d_year - ,item.i_brand_id brand_id - ,item.i_brand brand - ,sum(ss_ext_sales_price) sum_agg - from date_dim dt - ,store_sales - ,item - where dt.d_date_sk = store_sales.ss_sold_date_sk - and store_sales.ss_item_sk = item.i_item_sk - and item.i_manufact_id = 436 - and dt.d_moy=12 - group by dt.d_year - ,item.i_brand - ,item.i_brand_id - order by dt.d_year - ,sum_agg desc - ,brand_id - limit 100; +SELECT dt.d_year , + item.i_brand_id brand_id , + item.i_brand brand , + sum(ss_ext_sales_price) sum_agg +FROM date_dim dt , + store_sales , + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manufact_id = 436 + AND dt.d_moy=12 +GROUP BY dt.d_year , + item.i_brand , + item.i_brand_id +ORDER BY dt.d_year , + sum_agg DESC , + brand_id +LIMIT 100; diff --git a/TPC-DS/queries/query30.sql b/TPC-DS/queries/query30.sql index 028c674c40f219ce19bc7f77b71eaeda941b0948..7f0e4f076ca1bcb14d064189e501e82edfe74c3f 100644 --- a/TPC-DS/queries/query30.sql +++ b/TPC-DS/queries/query30.sql @@ -1,28 +1,49 @@ -with customer_total_return as - (select wr_returning_customer_sk as ctr_customer_sk - ,ca_state as ctr_state, - sum(wr_return_amt) as ctr_total_return - from web_returns - ,date_dim - ,customer_address - where wr_returned_date_sk = d_date_sk - and d_year =2002 - and wr_returning_addr_sk = ca_address_sk - group by wr_returning_customer_sk - ,ca_state) - select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag - ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address - ,c_last_review_date_sk,ctr_total_return - from customer_total_return ctr1 - ,customer_address - ,customer - where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 - from customer_total_return ctr2 - where ctr1.ctr_state = ctr2.ctr_state) - and ca_address_sk = c_current_addr_sk - and ca_state = 'IL' - and ctr1.ctr_customer_sk = c_customer_sk - order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag - ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address - ,c_last_review_date_sk,ctr_total_return -limit 100; +WITH customer_total_return AS + (SELECT wr_returning_customer_sk AS ctr_customer_sk , + ca_state AS ctr_state, + sum(wr_return_amt) AS ctr_total_return + FROM web_returns , + date_dim , + customer_address + WHERE wr_returned_date_sk = d_date_sk + AND d_year =2002 + AND wr_returning_addr_sk = ca_address_sk + GROUP BY wr_returning_customer_sk , + ca_state) +SELECT c_customer_id, + c_salutation, + c_first_name, + c_last_name, + c_preferred_cust_flag , + c_birth_day, + c_birth_month, + c_birth_year, + c_birth_country, + c_login, + c_email_address , + c_last_review_date_sk, + ctr_total_return +FROM customer_total_return ctr1 , + customer_address , + customer +WHERE ctr1.ctr_total_return > + (SELECT avg(ctr_total_return)*1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_state = ctr2.ctr_state) + AND ca_address_sk = c_current_addr_sk + AND ca_state = 'IL' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id, + c_salutation, + c_first_name, + c_last_name, + c_preferred_cust_flag , + c_birth_day, + c_birth_month, + c_birth_year, + c_birth_country, + c_login, + c_email_address , + c_last_review_date_sk, + ctr_total_return +LIMIT 100; diff --git a/TPC-DS/queries/query31.sql b/TPC-DS/queries/query31.sql index babf5558cd01829519f3536594c2eba0f4feac7f..82e226082e2544d8e34c63dc87e8f782b7195320 100644 --- a/TPC-DS/queries/query31.sql +++ b/TPC-DS/queries/query31.sql @@ -1,49 +1,70 @@ -with ss as - (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales - from store_sales,date_dim,customer_address - where ss_sold_date_sk = d_date_sk - and ss_addr_sk=ca_address_sk - group by ca_county,d_qoy, d_year), - ws as - (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales - from web_sales,date_dim,customer_address - where ws_sold_date_sk = d_date_sk - and ws_bill_addr_sk=ca_address_sk - group by ca_county,d_qoy, d_year) - select - ss1.ca_county - ,ss1.d_year - ,ws2.web_sales/ws1.web_sales web_q1_q2_increase - ,ss2.store_sales/ss1.store_sales store_q1_q2_increase - ,ws3.web_sales/ws2.web_sales web_q2_q3_increase - ,ss3.store_sales/ss2.store_sales store_q2_q3_increase - from - ss ss1 - ,ss ss2 - ,ss ss3 - ,ws ws1 - ,ws ws2 - ,ws ws3 - where - ss1.d_qoy = 1 - and ss1.d_year = 2000 - and ss1.ca_county = ss2.ca_county - and ss2.d_qoy = 2 - and ss2.d_year = 2000 - and ss2.ca_county = ss3.ca_county - and ss3.d_qoy = 3 - and ss3.d_year = 2000 - and ss1.ca_county = ws1.ca_county - and ws1.d_qoy = 1 - and ws1.d_year = 2000 - and ws1.ca_county = ws2.ca_county - and ws2.d_qoy = 2 - and ws2.d_year = 2000 - and ws1.ca_county = ws3.ca_county - and ws3.d_qoy = 3 - and ws3.d_year =2000 - and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end - > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end - and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end - > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end - order by ss1.d_year; +WITH ss AS + (SELECT ca_county, + d_qoy, + d_year, + sum(ss_ext_sales_price) AS store_sales + FROM store_sales, + date_dim, + customer_address + WHERE ss_sold_date_sk = d_date_sk + AND ss_addr_sk=ca_address_sk + GROUP BY ca_county, + d_qoy, + d_year), + ws AS + (SELECT ca_county, + d_qoy, + d_year, + sum(ws_ext_sales_price) AS web_sales + FROM web_sales, + date_dim, + customer_address + WHERE ws_sold_date_sk = d_date_sk + AND ws_bill_addr_sk=ca_address_sk + GROUP BY ca_county, + d_qoy, + d_year) +SELECT ss1.ca_county , + ss1.d_year , + ws2.web_sales/ws1.web_sales web_q1_q2_increase , + ss2.store_sales/ss1.store_sales store_q1_q2_increase , + ws3.web_sales/ws2.web_sales web_q2_q3_increase , + ss3.store_sales/ss2.store_sales store_q2_q3_increase +FROM ss ss1 , + ss ss2 , + ss ss3 , + ws ws1 , + ws ws2 , + ws ws3 +WHERE ss1.d_qoy = 1 + AND ss1.d_year = 2000 + AND ss1.ca_county = ss2.ca_county + AND ss2.d_qoy = 2 + AND ss2.d_year = 2000 + AND ss2.ca_county = ss3.ca_county + AND ss3.d_qoy = 3 + AND ss3.d_year = 2000 + AND ss1.ca_county = ws1.ca_county + AND ws1.d_qoy = 1 + AND ws1.d_year = 2000 + AND ws1.ca_county = ws2.ca_county + AND ws2.d_qoy = 2 + AND ws2.d_year = 2000 + AND ws1.ca_county = ws3.ca_county + AND ws3.d_qoy = 3 + AND ws3.d_year =2000 + AND CASE + WHEN ws1.web_sales > 0 THEN ws2.web_sales/ws1.web_sales + ELSE NULL + END > CASE + WHEN ss1.store_sales > 0 THEN ss2.store_sales/ss1.store_sales + ELSE NULL + END + AND CASE + WHEN ws2.web_sales > 0 THEN ws3.web_sales/ws2.web_sales + ELSE NULL + END > CASE + WHEN ss2.store_sales > 0 THEN ss3.store_sales/ss2.store_sales + ELSE NULL + END +ORDER BY ss1.d_year; diff --git a/TPC-DS/queries/query32.sql b/TPC-DS/queries/query32.sql index 36e36510f2d818b26f943b6529a828beb4078de8..3a1762e1253fdd4e4d6f860d00487147ca929141 100644 --- a/TPC-DS/queries/query32.sql +++ b/TPC-DS/queries/query32.sql @@ -1,25 +1,16 @@ -select sum(cs_ext_discount_amt) as "excess discount amount" -from - catalog_sales - ,item - ,date_dim -where -i_manufact_id = 269 -and i_item_sk = cs_item_sk -and d_date between '1998-03-18' and - (cast('1998-03-18' as date) + 90 days) -and d_date_sk = cs_sold_date_sk -and cs_ext_discount_amt - > ( - select - 1.3 * avg(cs_ext_discount_amt) - from - catalog_sales - ,date_dim - where - cs_item_sk = i_item_sk - and d_date between '1998-03-18' and - (cast('1998-03-18' as date) + 90 days) - and d_date_sk = cs_sold_date_sk - ) -limit 100; +SELECT sum(cs_ext_discount_amt) AS "excess discount amount" +FROM catalog_sales , + item , + date_dim +WHERE i_manufact_id = 269 + AND i_item_sk = cs_item_sk + AND d_date BETWEEN '1998-03-18' AND (cast('1998-03-18' AS date) + 90 days) + AND d_date_sk = cs_sold_date_sk + AND cs_ext_discount_amt > + (SELECT 1.3 * avg(cs_ext_discount_amt) + FROM catalog_sales , + date_dim + WHERE cs_item_sk = i_item_sk + AND d_date BETWEEN '1998-03-18' AND (cast('1998-03-18' AS date) + 90 days) + AND d_date_sk = cs_sold_date_sk) +LIMIT 100; diff --git a/TPC-DS/queries/query33.sql b/TPC-DS/queries/query33.sql index 8aadd2657bbe290b48e4e5174536de70171d8804..5a08bbcf2c2fc4b77e38c36c1489e545b1b3bc96 100644 --- a/TPC-DS/queries/query33.sql +++ b/TPC-DS/queries/query33.sql @@ -1,72 +1,66 @@ -with ss as ( - select - i_manufact_id,sum(ss_ext_sales_price) total_sales - from - store_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and ss_addr_sk = ca_address_sk - and ca_gmt_offset = -5 - group by i_manufact_id), - cs as ( - select - i_manufact_id,sum(cs_ext_sales_price) total_sales - from - catalog_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and cs_item_sk = i_item_sk - and cs_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and cs_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -5 - group by i_manufact_id), - ws as ( - select - i_manufact_id,sum(ws_ext_sales_price) total_sales - from - web_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and ws_item_sk = i_item_sk - and ws_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and ws_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -5 - group by i_manufact_id) - select i_manufact_id ,sum(total_sales) total_sales - from (select * from ss - union all - select * from cs - union all - select * from ws) tmp1 - group by i_manufact_id - order by total_sales -limit 100; +WITH ss AS + (SELECT i_manufact_id, + sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN + (SELECT i_manufact_id + FROM item + WHERE i_category IN ('Books')) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id), + cs AS + (SELECT i_manufact_id, + sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN + (SELECT i_manufact_id + FROM item + WHERE i_category IN ('Books')) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id), + ws AS + (SELECT i_manufact_id, + sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN + (SELECT i_manufact_id + FROM item + WHERE i_category IN ('Books')) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id) +SELECT i_manufact_id, + sum(total_sales) total_sales +FROM + (SELECT * + FROM ss + UNION ALL SELECT * + FROM cs + UNION ALL SELECT * + FROM ws) tmp1 +GROUP BY i_manufact_id +ORDER BY total_sales +LIMIT 100; diff --git a/TPC-DS/queries/query34.sql b/TPC-DS/queries/query34.sql index b04c436da591dae414c5718166f6989c16c78bbc..bb4df57267594749866e7e408a4d6e939c5d026e 100644 --- a/TPC-DS/queries/query34.sql +++ b/TPC-DS/queries/query34.sql @@ -1,28 +1,47 @@ -select c_last_name - ,c_first_name - ,c_salutation - ,c_preferred_cust_flag - ,ss_ticket_number - ,cnt from - (select ss_ticket_number - ,ss_customer_sk - ,count(*) cnt - from store_sales,date_dim,store,household_demographics - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_store_sk = store.s_store_sk - and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk - and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28) - and (household_demographics.hd_buy_potential = '>10000' or - household_demographics.hd_buy_potential = 'Unknown') - and household_demographics.hd_vehicle_count > 0 - and (case when household_demographics.hd_vehicle_count > 0 - then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count - else null - end) > 1.2 - and date_dim.d_year in (1998,1998+1,1998+2) - and store.s_county in ('Williamson County','Williamson County','Williamson County','Williamson County', - 'Williamson County','Williamson County','Williamson County','Williamson County') - group by ss_ticket_number,ss_customer_sk) dn,customer - where ss_customer_sk = c_customer_sk - and cnt between 15 and 20 - order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc, ss_ticket_number; +SELECT c_last_name , + c_first_name , + c_salutation , + c_preferred_cust_flag , + ss_ticket_number , + cnt +FROM + (SELECT ss_ticket_number , + ss_customer_sk , + count(*) cnt + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND (date_dim.d_dom BETWEEN 1 AND 3 + OR date_dim.d_dom BETWEEN 25 AND 28) + AND (household_demographics.hd_buy_potential = '>10000' + OR household_demographics.hd_buy_potential = 'Unknown') + AND household_demographics.hd_vehicle_count > 0 + AND (CASE + WHEN household_demographics.hd_vehicle_count > 0 THEN household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count + ELSE NULL + END) > 1.2 + AND date_dim.d_year IN (1998, + 1998+1, + 1998+2) + AND store.s_county IN ('Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County') + GROUP BY ss_ticket_number, + ss_customer_sk) dn, + customer +WHERE ss_customer_sk = c_customer_sk + AND cnt BETWEEN 15 AND 20 +ORDER BY c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag DESC, + ss_ticket_number; diff --git a/TPC-DS/queries/query35.sql b/TPC-DS/queries/query35.sql index 0846f43145ba4c2c6ab4ad7eb5307ea81a632b70..caaf3b109d7e561dae3d1bbdce3239913df9e747 100644 --- a/TPC-DS/queries/query35.sql +++ b/TPC-DS/queries/query35.sql @@ -1,55 +1,60 @@ -select - ca_state, - cd_gender, - cd_marital_status, - cd_dep_count, - count(*) cnt1, - avg(cd_dep_count), - max(cd_dep_count), - sum(cd_dep_count), - cd_dep_employed_count, - count(*) cnt2, - avg(cd_dep_employed_count), - max(cd_dep_employed_count), - sum(cd_dep_employed_count), - cd_dep_college_count, - count(*) cnt3, - avg(cd_dep_college_count), - max(cd_dep_college_count), - sum(cd_dep_college_count) - from - customer c,customer_address ca,customer_demographics - where - c.c_current_addr_sk = ca.ca_address_sk and - cd_demo_sk = c.c_current_cdemo_sk and - exists (select * - from store_sales,date_dim - where c.c_customer_sk = ss_customer_sk and - ss_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4) and - (exists (select * - from web_sales,date_dim - where c.c_customer_sk = ws_bill_customer_sk and - ws_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4) or - exists (select * - from catalog_sales,date_dim - where c.c_customer_sk = cs_ship_customer_sk and - cs_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4)) - group by ca_state, - cd_gender, - cd_marital_status, - cd_dep_count, - cd_dep_employed_count, - cd_dep_college_count - order by ca_state, - cd_gender, - cd_marital_status, - cd_dep_count, - cd_dep_employed_count, - cd_dep_college_count - limit 100; +SELECT ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + count(*) cnt1, + avg(cd_dep_count), + max(cd_dep_count), + sum(cd_dep_count), + cd_dep_employed_count, + count(*) cnt2, + avg(cd_dep_employed_count), + max(cd_dep_employed_count), + sum(cd_dep_employed_count), + cd_dep_college_count, + count(*) cnt3, + avg(cd_dep_college_count), + max(cd_dep_college_count), + sum(cd_dep_college_count) +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS + (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_qoy < 4) + AND (EXISTS + (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_qoy < 4) + OR EXISTS + (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_qoy < 4)) +GROUP BY ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +ORDER BY ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +LIMIT 100; diff --git a/TPC-DS/queries/query36.sql b/TPC-DS/queries/query36.sql index becddb653e414d511736eef5654e521486099fe3..c82b7c1a9263206342ae14605ec93d526248334f 100644 --- a/TPC-DS/queries/query36.sql +++ b/TPC-DS/queries/query36.sql @@ -1,27 +1,31 @@ -select - sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin - ,i_category - ,i_class - ,grouping(i_category)+grouping(i_class) as lochierarchy - ,rank() over ( - partition by grouping(i_category)+grouping(i_class), - case when grouping(i_class) = 0 then i_category end - order by sum(ss_net_profit)/sum(ss_ext_sales_price) asc) as rank_within_parent - from - store_sales - ,date_dim d1 - ,item - ,store - where - d1.d_year = 2000 - and d1.d_date_sk = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and s_state in ('TN','TN','TN','TN', - 'TN','TN','TN','TN') - group by rollup(i_category,i_class) - order by - lochierarchy desc - ,case when lochierarchy = 0 then i_category end - ,rank_within_parent - limit 100; +SELECT sum(ss_net_profit)/sum(ss_ext_sales_price) AS gross_margin , + i_category , + i_class , + grouping(i_category)+grouping(i_class) AS lochierarchy , + rank() OVER (PARTITION BY grouping(i_category)+grouping(i_class), CASE + WHEN grouping(i_class) = 0 THEN i_category + END + ORDER BY sum(ss_net_profit)/sum(ss_ext_sales_price) ASC) AS rank_within_parent +FROM store_sales , + date_dim d1 , + item , + store +WHERE d1.d_year = 2000 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND s_state IN ('TN', + 'TN', + 'TN', + 'TN', + 'TN', + 'TN', + 'TN', + 'TN') +GROUP BY rollup(i_category, i_class) +ORDER BY lochierarchy DESC , + CASE + WHEN lochierarchy = 0 THEN i_category + END , + rank_within_parent +LIMIT 100; diff --git a/TPC-DS/queries/query37.sql b/TPC-DS/queries/query37.sql index 471b20cc6283ad3043dbc589aa26b7e5adbfb663..7f6b9e21faad1bc18101bb09bee0c2101df0b12e 100644 --- a/TPC-DS/queries/query37.sql +++ b/TPC-DS/queries/query37.sql @@ -1,14 +1,22 @@ -select i_item_id - ,i_item_desc - ,i_current_price - from item, inventory, date_dim, catalog_sales - where i_current_price between 22 and 22 + 30 - and inv_item_sk = i_item_sk - and d_date_sk=inv_date_sk - and d_date between cast('2001-06-02' as date) and (cast('2001-06-02' as date) + 60 days) - and i_manufact_id in (678,964,918,849) - and inv_quantity_on_hand between 100 and 500 - and cs_item_sk = i_item_sk - group by i_item_id,i_item_desc,i_current_price - order by i_item_id - limit 100; +SELECT i_item_id , + i_item_desc , + i_current_price +FROM item, + inventory, + date_dim, + catalog_sales +WHERE i_current_price BETWEEN 22 AND 22 + 30 + AND inv_item_sk = i_item_sk + AND d_date_sk=inv_date_sk + AND d_date BETWEEN cast('2001-06-02' AS date) AND (cast('2001-06-02' AS date) + 60 days) + AND i_manufact_id IN (678, + 964, + 918, + 849) + AND inv_quantity_on_hand BETWEEN 100 AND 500 + AND cs_item_sk = i_item_sk +GROUP BY i_item_id, + i_item_desc, + i_current_price +ORDER BY i_item_id +LIMIT 100; diff --git a/TPC-DS/queries/query38.sql b/TPC-DS/queries/query38.sql index a6487395d6494f84f12ee16a40f37fb117905bcc..e47d252f0938f06e3d498b6a6942e40c3282832d 100644 --- a/TPC-DS/queries/query38.sql +++ b/TPC-DS/queries/query38.sql @@ -1,20 +1,28 @@ -select count(*) from ( - select distinct c_last_name, c_first_name, d_date - from store_sales, date_dim, customer - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 - intersect - select distinct c_last_name, c_first_name, d_date - from catalog_sales, date_dim, customer - where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk - and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 - intersect - select distinct c_last_name, c_first_name, d_date - from web_sales, date_dim, customer - where web_sales.ws_sold_date_sk = date_dim.d_date_sk - and web_sales.ws_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 -) hot_cust -limit 100; +SELECT count(*) +FROM + (SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM store_sales, + date_dim, + customer + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1212 AND 1212 + 11 INTERSECT SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM catalog_sales, + date_dim, + customer + WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1212 AND 1212 + 11 INTERSECT SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM web_sales, + date_dim, + customer + WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk + AND web_sales.ws_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1212 AND 1212 + 11) hot_cust +LIMIT 100; diff --git a/TPC-DS/queries/query39.sql b/TPC-DS/queries/query39.sql index 9953291128971e54326df34469058b74532e4662..11864505d453aebd789cca65a68079c5e9de0242 100644 --- a/TPC-DS/queries/query39.sql +++ b/TPC-DS/queries/query39.sql @@ -1,51 +1,118 @@ -with inv as -(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy - ,stdev,mean, case mean when 0 then null else stdev/mean end cov - from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy - ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean - from inventory - ,item - ,warehouse - ,date_dim - where inv_item_sk = i_item_sk - and inv_warehouse_sk = w_warehouse_sk - and inv_date_sk = d_date_sk - and d_year =1998 - group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo - where case mean when 0 then 0 else stdev/mean end > 1) -select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov - ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov -from inv inv1,inv inv2 -where inv1.i_item_sk = inv2.i_item_sk - and inv1.w_warehouse_sk = inv2.w_warehouse_sk - and inv1.d_moy=4 - and inv2.d_moy=4+1 -order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov - ,inv2.d_moy,inv2.mean, inv2.cov -; -with inv as -(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy - ,stdev,mean, case mean when 0 then null else stdev/mean end cov - from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy - ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean - from inventory - ,item - ,warehouse - ,date_dim - where inv_item_sk = i_item_sk - and inv_warehouse_sk = w_warehouse_sk - and inv_date_sk = d_date_sk - and d_year =1998 - group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo - where case mean when 0 then 0 else stdev/mean end > 1) -select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov - ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov -from inv inv1,inv inv2 -where inv1.i_item_sk = inv2.i_item_sk - and inv1.w_warehouse_sk = inv2.w_warehouse_sk - and inv1.d_moy=4 - and inv2.d_moy=4+1 - and inv1.cov > 1.5 -order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov - ,inv2.d_moy,inv2.mean, inv2.cov -; +WITH inv AS + (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy , + stdev, + mean, + CASE mean + WHEN 0 THEN NULL + ELSE stdev/mean + END cov + FROM + (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy , + stddev_samp(inv_quantity_on_hand) stdev, + avg(inv_quantity_on_hand) mean + FROM inventory , + item , + warehouse , + date_dim + WHERE inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_year =1998 + GROUP BY w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy) foo + WHERE CASE mean + WHEN 0 THEN 0 + ELSE stdev/mean + END > 1) +SELECT inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov , + inv2.w_warehouse_sk, + inv2.i_item_sk, + inv2.d_moy, + inv2.mean, + inv2.cov +FROM inv inv1, + inv inv2 +WHERE inv1.i_item_sk = inv2.i_item_sk + AND inv1.w_warehouse_sk = inv2.w_warehouse_sk + AND inv1.d_moy=4 + AND inv2.d_moy=4+1 +ORDER BY inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov , + inv2.d_moy, + inv2.mean, + inv2.cov ; + +WITH inv AS + (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy , + stdev, + mean, + CASE mean + WHEN 0 THEN NULL + ELSE stdev/mean + END cov + FROM + (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy , + stddev_samp(inv_quantity_on_hand) stdev, + avg(inv_quantity_on_hand) mean + FROM inventory , + item , + warehouse , + date_dim + WHERE inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_year =1998 + GROUP BY w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy) foo + WHERE CASE mean + WHEN 0 THEN 0 + ELSE stdev/mean + END > 1) +SELECT inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov , + inv2.w_warehouse_sk, + inv2.i_item_sk, + inv2.d_moy, + inv2.mean, + inv2.cov +FROM inv inv1, + inv inv2 +WHERE inv1.i_item_sk = inv2.i_item_sk + AND inv1.w_warehouse_sk = inv2.w_warehouse_sk + AND inv1.d_moy=4 + AND inv2.d_moy=4+1 + AND inv1.cov > 1.5 +ORDER BY inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov , + inv2.d_moy, + inv2.mean, + inv2.cov ; diff --git a/TPC-DS/queries/query4.sql b/TPC-DS/queries/query4.sql index bb6de6b5396faf6d0c23cf7d7ee12b8a2942cb83..a274f5fe1d3dc53149ba7cf9f8094665f306295e 100644 --- a/TPC-DS/queries/query4.sql +++ b/TPC-DS/queries/query4.sql @@ -1,113 +1,119 @@ -with year_total as ( - select c_customer_id customer_id - ,c_first_name customer_first_name - ,c_last_name customer_last_name - ,c_preferred_cust_flag customer_preferred_cust_flag - ,c_birth_country customer_birth_country - ,c_login customer_login - ,c_email_address customer_email_address - ,d_year dyear - ,sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total - ,'s' sale_type - from customer - ,store_sales - ,date_dim - where c_customer_sk = ss_customer_sk - and ss_sold_date_sk = d_date_sk - group by c_customer_id - ,c_first_name - ,c_last_name - ,c_preferred_cust_flag - ,c_birth_country - ,c_login - ,c_email_address - ,d_year - union all - select c_customer_id customer_id - ,c_first_name customer_first_name - ,c_last_name customer_last_name - ,c_preferred_cust_flag customer_preferred_cust_flag - ,c_birth_country customer_birth_country - ,c_login customer_login - ,c_email_address customer_email_address - ,d_year dyear - ,sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total - ,'c' sale_type - from customer - ,catalog_sales - ,date_dim - where c_customer_sk = cs_bill_customer_sk - and cs_sold_date_sk = d_date_sk - group by c_customer_id - ,c_first_name - ,c_last_name - ,c_preferred_cust_flag - ,c_birth_country - ,c_login - ,c_email_address - ,d_year -union all - select c_customer_id customer_id - ,c_first_name customer_first_name - ,c_last_name customer_last_name - ,c_preferred_cust_flag customer_preferred_cust_flag - ,c_birth_country customer_birth_country - ,c_login customer_login - ,c_email_address customer_email_address - ,d_year dyear - ,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) year_total - ,'w' sale_type - from customer - ,web_sales - ,date_dim - where c_customer_sk = ws_bill_customer_sk - and ws_sold_date_sk = d_date_sk - group by c_customer_id - ,c_first_name - ,c_last_name - ,c_preferred_cust_flag - ,c_birth_country - ,c_login - ,c_email_address - ,d_year - ) - select - t_s_secyear.customer_id - ,t_s_secyear.customer_first_name - ,t_s_secyear.customer_last_name - ,t_s_secyear.customer_email_address - from year_total t_s_firstyear - ,year_total t_s_secyear - ,year_total t_c_firstyear - ,year_total t_c_secyear - ,year_total t_w_firstyear - ,year_total t_w_secyear - where t_s_secyear.customer_id = t_s_firstyear.customer_id - and t_s_firstyear.customer_id = t_c_secyear.customer_id - and t_s_firstyear.customer_id = t_c_firstyear.customer_id - and t_s_firstyear.customer_id = t_w_firstyear.customer_id - and t_s_firstyear.customer_id = t_w_secyear.customer_id - and t_s_firstyear.sale_type = 's' - and t_c_firstyear.sale_type = 'c' - and t_w_firstyear.sale_type = 'w' - and t_s_secyear.sale_type = 's' - and t_c_secyear.sale_type = 'c' - and t_w_secyear.sale_type = 'w' - and t_s_firstyear.dyear = 2001 - and t_s_secyear.dyear = 2001+1 - and t_c_firstyear.dyear = 2001 - and t_c_secyear.dyear = 2001+1 - and t_w_firstyear.dyear = 2001 - and t_w_secyear.dyear = 2001+1 - and t_s_firstyear.year_total > 0 - and t_c_firstyear.year_total > 0 - and t_w_firstyear.year_total > 0 - and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end - > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end - and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end - > case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end - order by t_s_secyear.customer_id - ,t_s_secyear.customer_first_name - ,t_s_secyear.customer_last_name - ,t_s_secyear.customer_email_address -limit 100; +WITH year_total AS + (SELECT c_customer_id customer_id , + c_first_name customer_first_name , + c_last_name customer_last_name , + c_preferred_cust_flag customer_preferred_cust_flag , + c_birth_country customer_birth_country , + c_login customer_login , + c_email_address customer_email_address , + d_year dyear , + sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total , + 's' sale_type + FROM customer , + store_sales , + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + GROUP BY c_customer_id , + c_first_name , + c_last_name , + c_preferred_cust_flag , + c_birth_country , + c_login , + c_email_address , + d_year + UNION ALL SELECT c_customer_id customer_id , + c_first_name customer_first_name , + c_last_name customer_last_name , + c_preferred_cust_flag customer_preferred_cust_flag , + c_birth_country customer_birth_country , + c_login customer_login , + c_email_address customer_email_address , + d_year dyear , + sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2)) year_total , + 'c' sale_type + FROM customer , + catalog_sales , + date_dim + WHERE c_customer_sk = cs_bill_customer_sk + AND cs_sold_date_sk = d_date_sk + GROUP BY c_customer_id , + c_first_name , + c_last_name , + c_preferred_cust_flag , + c_birth_country , + c_login , + c_email_address , + d_year + UNION ALL SELECT c_customer_id customer_id , + c_first_name customer_first_name , + c_last_name customer_last_name , + c_preferred_cust_flag customer_preferred_cust_flag , + c_birth_country customer_birth_country , + c_login customer_login , + c_email_address customer_email_address , + d_year dyear , + sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2)) year_total , + 'w' sale_type + FROM customer , + web_sales , + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + GROUP BY c_customer_id , + c_first_name , + c_last_name , + c_preferred_cust_flag , + c_birth_country , + c_login , + c_email_address , + d_year) +SELECT t_s_secyear.customer_id , + t_s_secyear.customer_first_name , + t_s_secyear.customer_last_name , + t_s_secyear.customer_email_address +FROM year_total t_s_firstyear , + year_total t_s_secyear , + year_total t_c_firstyear , + year_total t_c_secyear , + year_total t_w_firstyear , + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_c_secyear.customer_id + AND t_s_firstyear.customer_id = t_c_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_c_firstyear.sale_type = 'c' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_c_secyear.sale_type = 'c' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.dyear = 2001 + AND t_s_secyear.dyear = 2001+1 + AND t_c_firstyear.dyear = 2001 + AND t_c_secyear.dyear = 2001+1 + AND t_w_firstyear.dyear = 2001 + AND t_w_secyear.dyear = 2001+1 + AND t_s_firstyear.year_total > 0 + AND t_c_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / t_c_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total + ELSE NULL + END + AND CASE + WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / t_c_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / t_w_firstyear.year_total + ELSE NULL + END +ORDER BY t_s_secyear.customer_id , + t_s_secyear.customer_first_name , + t_s_secyear.customer_last_name , + t_s_secyear.customer_email_address +LIMIT 100; diff --git a/TPC-DS/queries/query40.sql b/TPC-DS/queries/query40.sql index 3ec2d2bab50509e6fe068770baf34afed90509b0..b349883a36537fe85404e1162c463c2b88c96ff1 100644 --- a/TPC-DS/queries/query40.sql +++ b/TPC-DS/queries/query40.sql @@ -1,25 +1,25 @@ -select - w_state - ,i_item_id - ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date)) - then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before - ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date)) - then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after - from - catalog_sales left outer join catalog_returns on - (cs_order_number = cr_order_number - and cs_item_sk = cr_item_sk) - ,warehouse - ,item - ,date_dim - where - i_current_price between 0.99 and 1.49 - and i_item_sk = cs_item_sk - and cs_warehouse_sk = w_warehouse_sk - and cs_sold_date_sk = d_date_sk - and d_date between (cast ('1998-04-08' as date) - 30 days) - and (cast ('1998-04-08' as date) + 30 days) - group by - w_state,i_item_id - order by w_state,i_item_id -limit 100; +SELECT w_state , + i_item_id , + sum(CASE + WHEN (cast(d_date AS date) < CAST ('1998-04-08' AS date)) THEN cs_sales_price - coalesce(cr_refunded_cash, 0) + ELSE 0 + END) AS sales_before , + sum(CASE + WHEN (cast(d_date AS date) >= CAST ('1998-04-08' AS date)) THEN cs_sales_price - coalesce(cr_refunded_cash, 0) + ELSE 0 + END) AS sales_after +FROM catalog_sales +LEFT OUTER JOIN catalog_returns ON (cs_order_number = cr_order_number + AND cs_item_sk = cr_item_sk) ,warehouse , + item , + date_dim +WHERE i_current_price BETWEEN 0.99 AND 1.49 + AND i_item_sk = cs_item_sk + AND cs_warehouse_sk = w_warehouse_sk + AND cs_sold_date_sk = d_date_sk + AND d_date BETWEEN (CAST ('1998-04-08' AS date) - 30 days) AND (CAST ('1998-04-08' AS date) + 30 days) +GROUP BY w_state, + i_item_id +ORDER BY w_state, + i_item_id +LIMIT 100; diff --git a/TPC-DS/queries/query41.sql b/TPC-DS/queries/query41.sql index 71c5bacfdda2e5a0e2fbf7e5255c2f7b353b7ada..7ec24b35a7b3d1b0103105a057c36da48d4e6d0c 100644 --- a/TPC-DS/queries/query41.sql +++ b/TPC-DS/queries/query41.sql @@ -1,49 +1,66 @@ -select distinct(i_product_name) - from item i1 - where i_manufact_id between 742 and 742+40 - and (select count(*) as item_cnt - from item - where (i_manufact = i1.i_manufact and - ((i_category = 'Women' and - (i_color = 'orchid' or i_color = 'papaya') and - (i_units = 'Pound' or i_units = 'Lb') and - (i_size = 'petite' or i_size = 'medium') - ) or - (i_category = 'Women' and - (i_color = 'burlywood' or i_color = 'navy') and - (i_units = 'Bundle' or i_units = 'Each') and - (i_size = 'N/A' or i_size = 'extra large') - ) or - (i_category = 'Men' and - (i_color = 'bisque' or i_color = 'azure') and - (i_units = 'N/A' or i_units = 'Tsp') and - (i_size = 'small' or i_size = 'large') - ) or - (i_category = 'Men' and - (i_color = 'chocolate' or i_color = 'cornflower') and - (i_units = 'Bunch' or i_units = 'Gross') and - (i_size = 'petite' or i_size = 'medium') - ))) or - (i_manufact = i1.i_manufact and - ((i_category = 'Women' and - (i_color = 'salmon' or i_color = 'midnight') and - (i_units = 'Oz' or i_units = 'Box') and - (i_size = 'petite' or i_size = 'medium') - ) or - (i_category = 'Women' and - (i_color = 'snow' or i_color = 'steel') and - (i_units = 'Carton' or i_units = 'Tbl') and - (i_size = 'N/A' or i_size = 'extra large') - ) or - (i_category = 'Men' and - (i_color = 'purple' or i_color = 'gainsboro') and - (i_units = 'Dram' or i_units = 'Unknown') and - (i_size = 'small' or i_size = 'large') - ) or - (i_category = 'Men' and - (i_color = 'metallic' or i_color = 'forest') and - (i_units = 'Gram' or i_units = 'Ounce') and - (i_size = 'petite' or i_size = 'medium') - )))) > 0 - order by i_product_name - limit 100; +SELECT distinct(i_product_name) +FROM item i1 +WHERE i_manufact_id BETWEEN 742 AND 742+40 + AND + (SELECT count(*) AS item_cnt + FROM item + WHERE (i_manufact = i1.i_manufact + AND ((i_category = 'Women' + AND (i_color = 'orchid' + OR i_color = 'papaya') + AND (i_units = 'Pound' + OR i_units = 'Lb') + AND (i_size = 'petite' + OR i_size = 'medium')) + OR (i_category = 'Women' + AND (i_color = 'burlywood' + OR i_color = 'navy') + AND (i_units = 'Bundle' + OR i_units = 'Each') + AND (i_size = 'N/A' + OR i_size = 'extra large')) + OR (i_category = 'Men' + AND (i_color = 'bisque' + OR i_color = 'azure') + AND (i_units = 'N/A' + OR i_units = 'Tsp') + AND (i_size = 'small' + OR i_size = 'large')) + OR (i_category = 'Men' + AND (i_color = 'chocolate' + OR i_color = 'cornflower') + AND (i_units = 'Bunch' + OR i_units = 'Gross') + AND (i_size = 'petite' + OR i_size = 'medium')))) + OR (i_manufact = i1.i_manufact + AND ((i_category = 'Women' + AND (i_color = 'salmon' + OR i_color = 'midnight') + AND (i_units = 'Oz' + OR i_units = 'Box') + AND (i_size = 'petite' + OR i_size = 'medium')) + OR (i_category = 'Women' + AND (i_color = 'snow' + OR i_color = 'steel') + AND (i_units = 'Carton' + OR i_units = 'Tbl') + AND (i_size = 'N/A' + OR i_size = 'extra large')) + OR (i_category = 'Men' + AND (i_color = 'purple' + OR i_color = 'gainsboro') + AND (i_units = 'Dram' + OR i_units = 'Unknown') + AND (i_size = 'small' + OR i_size = 'large')) + OR (i_category = 'Men' + AND (i_color = 'metallic' + OR i_color = 'forest') + AND (i_units = 'Gram' + OR i_units = 'Ounce') + AND (i_size = 'petite' + OR i_size = 'medium'))))) > 0 +ORDER BY i_product_name +LIMIT 100; diff --git a/TPC-DS/queries/query42.sql b/TPC-DS/queries/query42.sql index be2813175154ebb6e6bfe6f7a9bb55f176624277..e1be9e3f87dae4eb1dbdc32f265ef497537334cb 100644 --- a/TPC-DS/queries/query42.sql +++ b/TPC-DS/queries/query42.sql @@ -1,19 +1,19 @@ -select dt.d_year - ,item.i_category_id - ,item.i_category - ,sum(ss_ext_sales_price) - from date_dim dt - ,store_sales - ,item - where dt.d_date_sk = store_sales.ss_sold_date_sk - and store_sales.ss_item_sk = item.i_item_sk - and item.i_manager_id = 1 - and dt.d_moy=12 - and dt.d_year=1998 - group by dt.d_year - ,item.i_category_id - ,item.i_category - order by sum(ss_ext_sales_price) desc,dt.d_year - ,item.i_category_id - ,item.i_category -limit 100 ; +SELECT dt.d_year , + item.i_category_id , + item.i_category , + sum(ss_ext_sales_price) +FROM date_dim dt , + store_sales , + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manager_id = 1 + AND dt.d_moy=12 + AND dt.d_year=1998 +GROUP BY dt.d_year , + item.i_category_id , + item.i_category +ORDER BY sum(ss_ext_sales_price) DESC,dt.d_year , + item.i_category_id , + item.i_category +LIMIT 100 ; diff --git a/TPC-DS/queries/query43.sql b/TPC-DS/queries/query43.sql index dd999350d26a4deb8bb18127c16a65890a7caa2f..3884a63a19fb2d787929703d48a6b3f8a7160ecd 100644 --- a/TPC-DS/queries/query43.sql +++ b/TPC-DS/queries/query43.sql @@ -1,16 +1,49 @@ -select s_store_name, s_store_id, - sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales, - sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales, - sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales, - sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales, - sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales, - sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales, - sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales - from date_dim, store_sales, store - where d_date_sk = ss_sold_date_sk and - s_store_sk = ss_store_sk and - s_gmt_offset = -5 and - d_year = 1998 - group by s_store_name, s_store_id - order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales - limit 100; +SELECT s_store_name, + s_store_id, + sum(CASE + WHEN (d_day_name='Sunday') THEN ss_sales_price + ELSE NULL + END) sun_sales, + sum(CASE + WHEN (d_day_name='Monday') THEN ss_sales_price + ELSE NULL + END) mon_sales, + sum(CASE + WHEN (d_day_name='Tuesday') THEN ss_sales_price + ELSE NULL + END) tue_sales, + sum(CASE + WHEN (d_day_name='Wednesday') THEN ss_sales_price + ELSE NULL + END) wed_sales, + sum(CASE + WHEN (d_day_name='Thursday') THEN ss_sales_price + ELSE NULL + END) thu_sales, + sum(CASE + WHEN (d_day_name='Friday') THEN ss_sales_price + ELSE NULL + END) fri_sales, + sum(CASE + WHEN (d_day_name='Saturday') THEN ss_sales_price + ELSE NULL + END) sat_sales +FROM date_dim, + store_sales, + store +WHERE d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + AND s_gmt_offset = -5 + AND d_year = 1998 +GROUP BY s_store_name, + s_store_id +ORDER BY s_store_name, + s_store_id, + sun_sales, + mon_sales, + tue_sales, + wed_sales, + thu_sales, + fri_sales, + sat_sales +LIMIT 100; diff --git a/TPC-DS/queries/query44.sql b/TPC-DS/queries/query44.sql index bd635ff1972d835aaa503e91a1b17bde7a95f8fb..eb4380f0016420a124b2b2a64a169481028c6b5f 100644 --- a/TPC-DS/queries/query44.sql +++ b/TPC-DS/queries/query44.sql @@ -1,32 +1,48 @@ -select asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing -from(select * - from (select item_sk,rank() over (order by rank_col asc) rnk - from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col - from store_sales ss1 - where ss_store_sk = 2 - group by ss_item_sk - having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col - from store_sales - where ss_store_sk = 2 - and ss_hdemo_sk is null - group by ss_store_sk))V1)V11 - where rnk < 11) asceding, - (select * - from (select item_sk,rank() over (order by rank_col desc) rnk - from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col - from store_sales ss1 - where ss_store_sk = 2 - group by ss_item_sk - having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col - from store_sales - where ss_store_sk = 2 - and ss_hdemo_sk is null - group by ss_store_sk))V2)V21 - where rnk < 11) descending, -item i1, -item i2 -where asceding.rnk = descending.rnk - and i1.i_item_sk=asceding.item_sk - and i2.i_item_sk=descending.item_sk -order by asceding.rnk -limit 100; +SELECT asceding.rnk, + i1.i_product_name best_performing, + i2.i_product_name worst_performing +FROM + (SELECT * + FROM + (SELECT item_sk, + rank() OVER ( + ORDER BY rank_col ASC) rnk + FROM + (SELECT ss_item_sk item_sk, + avg(ss_net_profit) rank_col + FROM store_sales ss1 + WHERE ss_store_sk = 2 + GROUP BY ss_item_sk + HAVING avg(ss_net_profit) > 0.9* + (SELECT avg(ss_net_profit) rank_col + FROM store_sales + WHERE ss_store_sk = 2 + AND ss_hdemo_sk IS NULL + GROUP BY ss_store_sk))V1)V11 + WHERE rnk < 11) asceding, + + (SELECT * + FROM + (SELECT item_sk, + rank() OVER ( + ORDER BY rank_col DESC) rnk + FROM + (SELECT ss_item_sk item_sk, + avg(ss_net_profit) rank_col + FROM store_sales ss1 + WHERE ss_store_sk = 2 + GROUP BY ss_item_sk + HAVING avg(ss_net_profit) > 0.9* + (SELECT avg(ss_net_profit) rank_col + FROM store_sales + WHERE ss_store_sk = 2 + AND ss_hdemo_sk IS NULL + GROUP BY ss_store_sk))V2)V21 + WHERE rnk < 11) descending, + item i1, + item i2 +WHERE asceding.rnk = descending.rnk + AND i1.i_item_sk=asceding.item_sk + AND i2.i_item_sk=descending.item_sk +ORDER BY asceding.rnk +LIMIT 100; diff --git a/TPC-DS/queries/query45.sql b/TPC-DS/queries/query45.sql index b2fc63b7b1e359e153a80863fc190fff41935574..a0e3d1edae0fae901a3034631f08e7a39ab67197 100644 --- a/TPC-DS/queries/query45.sql +++ b/TPC-DS/queries/query45.sql @@ -1,17 +1,41 @@ -select ca_zip, ca_county, sum(ws_sales_price) - from web_sales, customer, customer_address, date_dim, item - where ws_bill_customer_sk = c_customer_sk - and c_current_addr_sk = ca_address_sk - and ws_item_sk = i_item_sk - and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792') - or - i_item_id in (select i_item_id - from item - where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) - ) - ) - and ws_sold_date_sk = d_date_sk - and d_qoy = 2 and d_year = 2000 - group by ca_zip, ca_county - order by ca_zip, ca_county - limit 100; +SELECT ca_zip, + ca_county, + sum(ws_sales_price) +FROM web_sales, + customer, + customer_address, + date_dim, + item +WHERE ws_bill_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND ws_item_sk = i_item_sk + AND (substr(ca_zip, 1, 5) IN ('85669', + '86197', + '88274', + '83405', + '86475', + '85392', + '85460', + '80348', + '81792') + OR i_item_id IN + (SELECT i_item_id + FROM item + WHERE i_item_sk IN (2, + 3, + 5, + 7, + 11, + 13, + 17, + 19, + 23, + 29))) + AND ws_sold_date_sk = d_date_sk + AND d_qoy = 2 + AND d_year = 2000 +GROUP BY ca_zip, + ca_county +ORDER BY ca_zip, + ca_county +LIMIT 100; diff --git a/TPC-DS/queries/query46.sql b/TPC-DS/queries/query46.sql index 4e57bd05a062c6ac1c15a0514a28ab7f1c03ed1b..5fa3d7a90de6eeb5a79c36f0ae234b0ff2dfba25 100644 --- a/TPC-DS/queries/query46.sql +++ b/TPC-DS/queries/query46.sql @@ -1,32 +1,49 @@ -select c_last_name - ,c_first_name - ,ca_city - ,bought_city - ,ss_ticket_number - ,amt,profit - from - (select ss_ticket_number - ,ss_customer_sk - ,ca_city bought_city - ,sum(ss_coupon_amt) amt - ,sum(ss_net_profit) profit - from store_sales,date_dim,store,household_demographics,customer_address - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_store_sk = store.s_store_sk - and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk - and store_sales.ss_addr_sk = customer_address.ca_address_sk - and (household_demographics.hd_dep_count = 5 or - household_demographics.hd_vehicle_count= 3) - and date_dim.d_dow in (6,0) - and date_dim.d_year in (1999,1999+1,1999+2) - and store.s_city in ('Midway','Fairview','Fairview','Fairview','Fairview') - group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr - where ss_customer_sk = c_customer_sk - and customer.c_current_addr_sk = current_addr.ca_address_sk - and current_addr.ca_city <> bought_city - order by c_last_name - ,c_first_name - ,ca_city - ,bought_city - ,ss_ticket_number - limit 100; +SELECT c_last_name , + c_first_name , + ca_city , + bought_city , + ss_ticket_number , + amt, + profit +FROM + (SELECT ss_ticket_number , + ss_customer_sk , + ca_city bought_city , + sum(ss_coupon_amt) amt , + sum(ss_net_profit) profit + FROM store_sales, + date_dim, + store, + household_demographics, + customer_address + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND store_sales.ss_addr_sk = customer_address.ca_address_sk + AND (household_demographics.hd_dep_count = 5 + OR household_demographics.hd_vehicle_count= 3) + AND date_dim.d_dow IN (6, + 0) + AND date_dim.d_year IN (1999, + 1999+1, + 1999+2) + AND store.s_city IN ('Midway', + 'Fairview', + 'Fairview', + 'Fairview', + 'Fairview') + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + ca_city) dn, + customer, + customer_address current_addr +WHERE ss_customer_sk = c_customer_sk + AND customer.c_current_addr_sk = current_addr.ca_address_sk + AND current_addr.ca_city <> bought_city +ORDER BY c_last_name , + c_first_name , + ca_city , + bought_city , + ss_ticket_number +LIMIT 100; diff --git a/TPC-DS/queries/query47.sql b/TPC-DS/queries/query47.sql index 950a7335bd0fc3aab25d0a81b7c6b8d2f182df74..18ac24576f86c93660151aee13267c8679d2dce1 100644 --- a/TPC-DS/queries/query47.sql +++ b/TPC-DS/queries/query47.sql @@ -1,48 +1,62 @@ -with v1 as( - select i_category, i_brand, - s_store_name, s_company_name, - d_year, d_moy, - sum(ss_sales_price) sum_sales, - avg(sum(ss_sales_price)) over - (partition by i_category, i_brand, - s_store_name, s_company_name, d_year) - avg_monthly_sales, - rank() over - (partition by i_category, i_brand, - s_store_name, s_company_name - order by d_year, d_moy) rn - from item, store_sales, date_dim, store - where ss_item_sk = i_item_sk and - ss_sold_date_sk = d_date_sk and - ss_store_sk = s_store_sk and - ( - d_year = 2000 or - ( d_year = 2000-1 and d_moy =12) or - ( d_year = 2000+1 and d_moy =1) - ) - group by i_category, i_brand, - s_store_name, s_company_name, - d_year, d_moy), - v2 as( - select v1.i_category, v1.i_brand - ,v1.d_year, v1.d_moy - ,v1.avg_monthly_sales - ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum - from v1, v1 v1_lag, v1 v1_lead - where v1.i_category = v1_lag.i_category and - v1.i_category = v1_lead.i_category and - v1.i_brand = v1_lag.i_brand and - v1.i_brand = v1_lead.i_brand and - v1.s_store_name = v1_lag.s_store_name and - v1.s_store_name = v1_lead.s_store_name and - v1.s_company_name = v1_lag.s_company_name and - v1.s_company_name = v1_lead.s_company_name and - v1.rn = v1_lag.rn + 1 and - v1.rn = v1_lead.rn - 1) - select * - from v2 - where d_year = 2000 and - avg_monthly_sales > 0 and - case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1 - order by sum_sales - avg_monthly_sales, nsum - limit 100; +WITH v1 AS + (SELECT i_category, + i_brand, + s_store_name, + s_company_name, + d_year, + d_moy, + sum(ss_sales_price) sum_sales, + avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name, d_year) avg_monthly_sales, + rank() OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name + ORDER BY d_year, d_moy) rn + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND (d_year = 2000 + OR (d_year = 2000-1 + AND d_moy =12) + OR (d_year = 2000+1 + AND d_moy =1)) + GROUP BY i_category, + i_brand, + s_store_name, + s_company_name, + d_year, + d_moy), + v2 AS + (SELECT v1.i_category, + v1.i_brand , + v1.d_year, + v1.d_moy , + v1.avg_monthly_sales , + v1.sum_sales, + v1_lag.sum_sales psum, + v1_lead.sum_sales nsum + FROM v1, + v1 v1_lag, + v1 v1_lead + WHERE v1.i_category = v1_lag.i_category + AND v1.i_category = v1_lead.i_category + AND v1.i_brand = v1_lag.i_brand + AND v1.i_brand = v1_lead.i_brand + AND v1.s_store_name = v1_lag.s_store_name + AND v1.s_store_name = v1_lead.s_store_name + AND v1.s_company_name = v1_lag.s_company_name + AND v1.s_company_name = v1_lead.s_company_name + AND v1.rn = v1_lag.rn + 1 + AND v1.rn = v1_lead.rn - 1) +SELECT * +FROM v2 +WHERE d_year = 2000 + AND avg_monthly_sales > 0 + AND CASE + WHEN avg_monthly_sales > 0 THEN abs(sum_sales - avg_monthly_sales) / avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + nsum +LIMIT 100; diff --git a/TPC-DS/queries/query48.sql b/TPC-DS/queries/query48.sql index 5b00c55bab259ceedbe511324bc0be163c902f0d..4994b9262aade00a5af89aeb192a4c0de911dfc0 100644 --- a/TPC-DS/queries/query48.sql +++ b/TPC-DS/queries/query48.sql @@ -1,64 +1,39 @@ -select sum (ss_quantity) - from store_sales, store, customer_demographics, customer_address, date_dim - where s_store_sk = ss_store_sk - and ss_sold_date_sk = d_date_sk and d_year = 1998 - and - ( - ( - cd_demo_sk = ss_cdemo_sk - and - cd_marital_status = 'M' - and - cd_education_status = '4 yr Degree' - and - ss_sales_price between 100.00 and 150.00 - ) - or - ( - cd_demo_sk = ss_cdemo_sk - and - cd_marital_status = 'D' - and - cd_education_status = 'Primary' - and - ss_sales_price between 50.00 and 100.00 - ) - or - ( - cd_demo_sk = ss_cdemo_sk - and - cd_marital_status = 'U' - and - cd_education_status = 'Advanced Degree' - and - ss_sales_price between 150.00 and 200.00 - ) - ) - and - ( - ( - ss_addr_sk = ca_address_sk - and - ca_country = 'United States' - and - ca_state in ('KY', 'GA', 'NM') - and ss_net_profit between 0 and 2000 - ) - or - (ss_addr_sk = ca_address_sk - and - ca_country = 'United States' - and - ca_state in ('MT', 'OR', 'IN') - and ss_net_profit between 150 and 3000 - ) - or - (ss_addr_sk = ca_address_sk - and - ca_country = 'United States' - and - ca_state in ('WI', 'MO', 'WV') - and ss_net_profit between 50 and 25000 - ) - ) -; +SELECT SUM (ss_quantity) +FROM store_sales, + store, + customer_demographics, + customer_address, + date_dim +WHERE s_store_sk = ss_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1998 + AND ((cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'M' + AND cd_education_status = '4 yr Degree' + AND ss_sales_price BETWEEN 100.00 AND 150.00) + OR (cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'D' + AND cd_education_status = 'Primary' + AND ss_sales_price BETWEEN 50.00 AND 100.00) + OR (cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'U' + AND cd_education_status = 'Advanced Degree' + AND ss_sales_price BETWEEN 150.00 AND 200.00)) + AND ((ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ('KY', + 'GA', + 'NM') + AND ss_net_profit BETWEEN 0 AND 2000) + OR (ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ('MT', + 'OR', + 'IN') + AND ss_net_profit BETWEEN 150 AND 3000) + OR (ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ('WI', + 'MO', + 'WV') + AND ss_net_profit BETWEEN 50 AND 25000)) ; diff --git a/TPC-DS/queries/query49.sql b/TPC-DS/queries/query49.sql index efbe2b07ac95de3aea418ac56962b102933612eb..d4d54897645070af415d058742b61b2c09235cfe 100644 --- a/TPC-DS/queries/query49.sql +++ b/TPC-DS/queries/query49.sql @@ -1,126 +1,101 @@ -select channel, item, return_ratio, return_rank, currency_rank from - (select - 'web' as channel - ,web.item - ,web.return_ratio - ,web.return_rank - ,web.currency_rank - from ( - select - item - ,return_ratio - ,currency_ratio - ,rank() over (order by return_ratio) as return_rank - ,rank() over (order by currency_ratio) as currency_rank - from - ( select ws.ws_item_sk as item - ,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/ - cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio - ,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/ - cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio - from - web_sales ws left outer join web_returns wr - on (ws.ws_order_number = wr.wr_order_number and - ws.ws_item_sk = wr.wr_item_sk) - ,date_dim - where - wr.wr_return_amt > 10000 - and ws.ws_net_profit > 1 - and ws.ws_net_paid > 0 - and ws.ws_quantity > 0 - and ws_sold_date_sk = d_date_sk - and d_year = 2000 - and d_moy = 12 - group by ws.ws_item_sk - ) in_web - ) web - where - ( - web.return_rank <= 10 - or - web.currency_rank <= 10 - ) - union - select - 'catalog' as channel - ,catalog.item - ,catalog.return_ratio - ,catalog.return_rank - ,catalog.currency_rank - from ( - select - item - ,return_ratio - ,currency_ratio - ,rank() over (order by return_ratio) as return_rank - ,rank() over (order by currency_ratio) as currency_rank - from - ( select - cs.cs_item_sk as item - ,(cast(sum(coalesce(cr.cr_return_quantity,0)) as decimal(15,4))/ - cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as return_ratio - ,(cast(sum(coalesce(cr.cr_return_amount,0)) as decimal(15,4))/ - cast(sum(coalesce(cs.cs_net_paid,0)) as decimal(15,4) )) as currency_ratio - from - catalog_sales cs left outer join catalog_returns cr - on (cs.cs_order_number = cr.cr_order_number and - cs.cs_item_sk = cr.cr_item_sk) - ,date_dim - where - cr.cr_return_amount > 10000 - and cs.cs_net_profit > 1 - and cs.cs_net_paid > 0 - and cs.cs_quantity > 0 - and cs_sold_date_sk = d_date_sk - and d_year = 2000 - and d_moy = 12 - group by cs.cs_item_sk - ) in_cat - ) catalog - where - ( - catalog.return_rank <= 10 - or - catalog.currency_rank <=10 - ) - union - select - 'store' as channel - ,store.item - ,store.return_ratio - ,store.return_rank - ,store.currency_rank - from ( - select - item - ,return_ratio - ,currency_ratio - ,rank() over (order by return_ratio) as return_rank - ,rank() over (order by currency_ratio) as currency_rank - from - ( select sts.ss_item_sk as item - ,(cast(sum(coalesce(sr.sr_return_quantity,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as decimal(15,4) )) as return_ratio - ,(cast(sum(coalesce(sr.sr_return_amt,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) as decimal(15,4) )) as currency_ratio - from - store_sales sts left outer join store_returns sr - on (sts.ss_ticket_number = sr.sr_ticket_number and sts.ss_item_sk = sr.sr_item_sk) - ,date_dim - where - sr.sr_return_amt > 10000 - and sts.ss_net_profit > 1 - and sts.ss_net_paid > 0 - and sts.ss_quantity > 0 - and ss_sold_date_sk = d_date_sk - and d_year = 2000 - and d_moy = 12 - group by sts.ss_item_sk - ) in_store - ) store - where ( - store.return_rank <= 10 - or - store.currency_rank <= 10 - ) - ) - order by 1,4,5,2 - limit 100; +SELECT channel, + item, + return_ratio, + return_rank, + currency_rank +FROM + (SELECT 'web' AS channel , + web.item , + web.return_ratio , + web.return_rank , + web.currency_rank + FROM + (SELECT item , + return_ratio , + currency_ratio , + rank() OVER ( + ORDER BY return_ratio) AS return_rank , + rank() OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM + (SELECT ws.ws_item_sk AS item , + (cast(sum(coalesce(wr.wr_return_quantity, 0)) AS decimal(15, 4))/ cast(sum(coalesce(ws.ws_quantity, 0)) AS decimal(15, 4))) AS return_ratio , + (cast(sum(coalesce(wr.wr_return_amt, 0)) AS decimal(15, 4))/ cast(sum(coalesce(ws.ws_net_paid, 0)) AS decimal(15, 4))) AS currency_ratio + FROM web_sales ws + LEFT OUTER JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number + AND ws.ws_item_sk = wr.wr_item_sk) ,date_dim + WHERE wr.wr_return_amt > 10000 + AND ws.ws_net_profit > 1 + AND ws.ws_net_paid > 0 + AND ws.ws_quantity > 0 + AND ws_sold_date_sk = d_date_sk + AND d_year = 2000 + AND d_moy = 12 + GROUP BY ws.ws_item_sk) in_web) web + WHERE (web.return_rank <= 10 + OR web.currency_rank <= 10) + UNION SELECT 'catalog' AS channel , + catalog.item , + catalog.return_ratio , + catalog.return_rank , + catalog.currency_rank + FROM + (SELECT item , + return_ratio , + currency_ratio , + rank() OVER ( + ORDER BY return_ratio) AS return_rank , + rank() OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM + (SELECT cs.cs_item_sk AS item , + (cast(sum(coalesce(cr.cr_return_quantity, 0)) AS decimal(15, 4))/ cast(sum(coalesce(cs.cs_quantity, 0)) AS decimal(15, 4))) AS return_ratio , + (cast(sum(coalesce(cr.cr_return_amount, 0)) AS decimal(15, 4))/ cast(sum(coalesce(cs.cs_net_paid, 0)) AS decimal(15, 4))) AS currency_ratio + FROM catalog_sales cs + LEFT OUTER JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number + AND cs.cs_item_sk = cr.cr_item_sk) ,date_dim + WHERE cr.cr_return_amount > 10000 + AND cs.cs_net_profit > 1 + AND cs.cs_net_paid > 0 + AND cs.cs_quantity > 0 + AND cs_sold_date_sk = d_date_sk + AND d_year = 2000 + AND d_moy = 12 + GROUP BY cs.cs_item_sk) in_cat) CATALOG + WHERE (catalog.return_rank <= 10 + OR catalog.currency_rank <=10) + UNION SELECT 'store' AS channel , + store.item , + store.return_ratio , + store.return_rank , + store.currency_rank + FROM + (SELECT item , + return_ratio , + currency_ratio , + rank() OVER ( + ORDER BY return_ratio) AS return_rank , + rank() OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM + (SELECT sts.ss_item_sk AS item , + (cast(sum(coalesce(sr.sr_return_quantity, 0)) AS decimal(15, 4))/cast(sum(coalesce(sts.ss_quantity, 0)) AS decimal(15, 4))) AS return_ratio , + (cast(sum(coalesce(sr.sr_return_amt, 0)) AS decimal(15, 4))/cast(sum(coalesce(sts.ss_net_paid, 0)) AS decimal(15, 4))) AS currency_ratio + FROM store_sales sts + LEFT OUTER JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number + AND sts.ss_item_sk = sr.sr_item_sk) ,date_dim + WHERE sr.sr_return_amt > 10000 + AND sts.ss_net_profit > 1 + AND sts.ss_net_paid > 0 + AND sts.ss_quantity > 0 + AND ss_sold_date_sk = d_date_sk + AND d_year = 2000 + AND d_moy = 12 + GROUP BY sts.ss_item_sk) in_store) store + WHERE (store.return_rank <= 10 + OR store.currency_rank <= 10)) +ORDER BY 1, + 4, + 5, + 2 +LIMIT 100; diff --git a/TPC-DS/queries/query5.sql b/TPC-DS/queries/query5.sql index 8e6a85118e2853ee5187ec7a367ce8534cf5bdc3..9868237557ec5a34b29693fb4ad19743a159b9d1 100644 --- a/TPC-DS/queries/query5.sql +++ b/TPC-DS/queries/query5.sql @@ -1,125 +1,112 @@ -with ssr as - (select s_store_id, - sum(sales_price) as sales, - sum(profit) as profit, - sum(return_amt) as returns, - sum(net_loss) as profit_loss - from - ( select ss_store_sk as store_sk, - ss_sold_date_sk as date_sk, - ss_ext_sales_price as sales_price, - ss_net_profit as profit, - cast(0 as decimal(7,2)) as return_amt, - cast(0 as decimal(7,2)) as net_loss - from store_sales - union all - select sr_store_sk as store_sk, - sr_returned_date_sk as date_sk, - cast(0 as decimal(7,2)) as sales_price, - cast(0 as decimal(7,2)) as profit, - sr_return_amt as return_amt, - sr_net_loss as net_loss - from store_returns - ) salesreturns, - date_dim, - store - where date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 14 days) - and store_sk = s_store_sk - group by s_store_id) - , - csr as - (select cp_catalog_page_id, - sum(sales_price) as sales, - sum(profit) as profit, - sum(return_amt) as returns, - sum(net_loss) as profit_loss - from - ( select cs_catalog_page_sk as page_sk, - cs_sold_date_sk as date_sk, - cs_ext_sales_price as sales_price, - cs_net_profit as profit, - cast(0 as decimal(7,2)) as return_amt, - cast(0 as decimal(7,2)) as net_loss - from catalog_sales - union all - select cr_catalog_page_sk as page_sk, - cr_returned_date_sk as date_sk, - cast(0 as decimal(7,2)) as sales_price, - cast(0 as decimal(7,2)) as profit, - cr_return_amount as return_amt, - cr_net_loss as net_loss - from catalog_returns - ) salesreturns, - date_dim, - catalog_page - where date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 14 days) - and page_sk = cp_catalog_page_sk - group by cp_catalog_page_id) - , - wsr as - (select web_site_id, - sum(sales_price) as sales, - sum(profit) as profit, - sum(return_amt) as returns, - sum(net_loss) as profit_loss - from - ( select ws_web_site_sk as wsr_web_site_sk, - ws_sold_date_sk as date_sk, - ws_ext_sales_price as sales_price, - ws_net_profit as profit, - cast(0 as decimal(7,2)) as return_amt, - cast(0 as decimal(7,2)) as net_loss - from web_sales - union all - select ws_web_site_sk as wsr_web_site_sk, - wr_returned_date_sk as date_sk, - cast(0 as decimal(7,2)) as sales_price, - cast(0 as decimal(7,2)) as profit, - wr_return_amt as return_amt, - wr_net_loss as net_loss - from web_returns left outer join web_sales on - ( wr_item_sk = ws_item_sk - and wr_order_number = ws_order_number) - ) salesreturns, - date_dim, - web_site - where date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 14 days) - and wsr_web_site_sk = web_site_sk - group by web_site_id) - select channel - , id - , sum(sales) as sales - , sum(returns) as returns - , sum(profit) as profit - from - (select 'store channel' as channel - , 'store' || s_store_id as id - , sales - , returns - , (profit - profit_loss) as profit - from ssr - union all - select 'catalog channel' as channel - , 'catalog_page' || cp_catalog_page_id as id - , sales - , returns - , (profit - profit_loss) as profit - from csr - union all - select 'web channel' as channel - , 'web_site' || web_site_id as id - , sales - , returns - , (profit - profit_loss) as profit - from wsr - ) x - group by rollup (channel, id) - order by channel - ,id - limit 100; +WITH ssr AS + (SELECT s_store_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS RETURNS, + sum(net_loss) AS profit_loss + FROM + (SELECT ss_store_sk AS store_sk, + ss_sold_date_sk AS date_sk, + ss_ext_sales_price AS sales_price, + ss_net_profit AS profit, + cast(0 AS decimal(7, 2)) AS return_amt, + cast(0 AS decimal(7, 2)) AS net_loss + FROM store_sales + UNION ALL SELECT sr_store_sk AS store_sk, + sr_returned_date_sk AS date_sk, + cast(0 AS decimal(7, 2)) AS sales_price, + cast(0 AS decimal(7, 2)) AS profit, + sr_return_amt AS return_amt, + sr_net_loss AS net_loss + FROM store_returns) salesreturns, + date_dim, + store + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 14 days) + AND store_sk = s_store_sk + GROUP BY s_store_id) , + csr AS + (SELECT cp_catalog_page_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS RETURNS, + sum(net_loss) AS profit_loss + FROM + (SELECT cs_catalog_page_sk AS page_sk, + cs_sold_date_sk AS date_sk, + cs_ext_sales_price AS sales_price, + cs_net_profit AS profit, + cast(0 AS decimal(7, 2)) AS return_amt, + cast(0 AS decimal(7, 2)) AS net_loss + FROM catalog_sales + UNION ALL SELECT cr_catalog_page_sk AS page_sk, + cr_returned_date_sk AS date_sk, + cast(0 AS decimal(7, 2)) AS sales_price, + cast(0 AS decimal(7, 2)) AS profit, + cr_return_amount AS return_amt, + cr_net_loss AS net_loss + FROM catalog_returns) salesreturns, + date_dim, + catalog_page + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 14 days) + AND page_sk = cp_catalog_page_sk + GROUP BY cp_catalog_page_id) , + wsr AS + (SELECT web_site_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS RETURNS, + sum(net_loss) AS profit_loss + FROM + (SELECT ws_web_site_sk AS wsr_web_site_sk, + ws_sold_date_sk AS date_sk, + ws_ext_sales_price AS sales_price, + ws_net_profit AS profit, + cast(0 AS decimal(7, 2)) AS return_amt, + cast(0 AS decimal(7, 2)) AS net_loss + FROM web_sales + UNION ALL SELECT ws_web_site_sk AS wsr_web_site_sk, + wr_returned_date_sk AS date_sk, + cast(0 AS decimal(7, 2)) AS sales_price, + cast(0 AS decimal(7, 2)) AS profit, + wr_return_amt AS return_amt, + wr_net_loss AS net_loss + FROM web_returns + LEFT OUTER JOIN web_sales ON (wr_item_sk = ws_item_sk + AND wr_order_number = ws_order_number)) salesreturns, + date_dim, + web_site + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 14 days) + AND wsr_web_site_sk = web_site_sk + GROUP BY web_site_id) +SELECT channel , + id , + sum(sales) AS sales , + sum(RETURNS) AS RETURNS , + sum(profit) AS profit +FROM + (SELECT 'store channel' AS channel , + 'store' || s_store_id AS id , + sales , + RETURNS , + (profit - profit_loss) AS profit + FROM ssr + UNION ALL SELECT 'catalog channel' AS channel , + 'catalog_page' || cp_catalog_page_id AS id , + sales , + RETURNS , + (profit - profit_loss) AS profit + FROM csr + UNION ALL SELECT 'web channel' AS channel , + 'web_site' || web_site_id AS id , + sales , + RETURNS , + (profit - profit_loss) AS profit + FROM wsr) x +GROUP BY ROLLUP (channel, + id) +ORDER BY channel , + id +LIMIT 100; diff --git a/TPC-DS/queries/query50.sql b/TPC-DS/queries/query50.sql index e7f763f34d81892c36a8d6135812cf388f11cb06..2bec03145a1cde3cf7d1eac74f4862430eb1b329 100644 --- a/TPC-DS/queries/query50.sql +++ b/TPC-DS/queries/query50.sql @@ -1,56 +1,67 @@ -select - s_store_name - ,s_company_id - ,s_street_number - ,s_street_name - ,s_street_type - ,s_suite_number - ,s_city - ,s_county - ,s_state - ,s_zip - ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days" - ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and - (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days" - ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and - (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days" - ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and - (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days" - ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as ">120 days" -from - store_sales - ,store_returns - ,store - ,date_dim d1 - ,date_dim d2 -where - d2.d_year = 2000 -and d2.d_moy = 9 -and ss_ticket_number = sr_ticket_number -and ss_item_sk = sr_item_sk -and ss_sold_date_sk = d1.d_date_sk -and sr_returned_date_sk = d2.d_date_sk -and ss_customer_sk = sr_customer_sk -and ss_store_sk = s_store_sk -group by - s_store_name - ,s_company_id - ,s_street_number - ,s_street_name - ,s_street_type - ,s_suite_number - ,s_city - ,s_county - ,s_state - ,s_zip -order by s_store_name - ,s_company_id - ,s_street_number - ,s_street_name - ,s_street_type - ,s_suite_number - ,s_city - ,s_county - ,s_state - ,s_zip -limit 100; +SELECT s_store_name , + s_company_id , + s_street_number , + s_street_name , + s_street_type , + s_suite_number , + s_city , + s_county , + s_state , + s_zip , + sum(CASE + WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1 + ELSE 0 + END) AS "30 days" , + sum(CASE + WHEN (sr_returned_date_sk - ss_sold_date_sk > 30) + AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1 + ELSE 0 + END) AS "31-60 days" , + sum(CASE + WHEN (sr_returned_date_sk - ss_sold_date_sk > 60) + AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1 + ELSE 0 + END) AS "61-90 days" , + sum(CASE + WHEN (sr_returned_date_sk - ss_sold_date_sk > 90) + AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1 + ELSE 0 + END) AS "91-120 days" , + sum(CASE + WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM store_sales , + store_returns , + store , + date_dim d1 , + date_dim d2 +WHERE d2.d_year = 2000 + AND d2.d_moy = 9 + AND ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND sr_returned_date_sk = d2.d_date_sk + AND ss_customer_sk = sr_customer_sk + AND ss_store_sk = s_store_sk +GROUP BY s_store_name , + s_company_id , + s_street_number , + s_street_name , + s_street_type , + s_suite_number , + s_city , + s_county , + s_state , + s_zip +ORDER BY s_store_name , + s_company_id , + s_street_number , + s_street_name , + s_street_type , + s_suite_number , + s_city , + s_county , + s_state , + s_zip +LIMIT 100; diff --git a/TPC-DS/queries/query51.sql b/TPC-DS/queries/query51.sql index fe90be989f8a416f41715d71f86bb986ecb14249..b77b1ed716037d1a3a2883107d025ce9b93fa658 100644 --- a/TPC-DS/queries/query51.sql +++ b/TPC-DS/queries/query51.sql @@ -1,42 +1,52 @@ -WITH web_v1 as ( -select - ws_item_sk item_sk, d_date, - sum(sum(ws_sales_price)) - over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales -from web_sales - ,date_dim -where ws_sold_date_sk=d_date_sk - and d_month_seq between 1212 and 1212+11 - and ws_item_sk is not NULL -group by ws_item_sk, d_date), -store_v1 as ( -select - ss_item_sk item_sk, d_date, - sum(sum(ss_sales_price)) - over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales -from store_sales - ,date_dim -where ss_sold_date_sk=d_date_sk - and d_month_seq between 1212 and 1212+11 - and ss_item_sk is not NULL -group by ss_item_sk, d_date) - select * -from (select item_sk - ,d_date - ,web_sales - ,store_sales - ,max(web_sales) - over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative - ,max(store_sales) - over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative - from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk - ,case when web.d_date is not null then web.d_date else store.d_date end d_date - ,web.cume_sales web_sales - ,store.cume_sales store_sales - from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk - and web.d_date = store.d_date) - )x )y -where web_cumulative > store_cumulative -order by item_sk - ,d_date -limit 100; +WITH web_v1 AS + (SELECT ws_item_sk item_sk, + d_date, + sum(sum(ws_sales_price)) OVER (PARTITION BY ws_item_sk + ORDER BY d_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cume_sales + FROM web_sales , + date_dim + WHERE ws_sold_date_sk=d_date_sk + AND d_month_seq BETWEEN 1212 AND 1212+11 + AND ws_item_sk IS NOT NULL + GROUP BY ws_item_sk, + d_date), + store_v1 AS + (SELECT ss_item_sk item_sk, + d_date, + sum(sum(ss_sales_price)) OVER (PARTITION BY ss_item_sk + ORDER BY d_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cume_sales + FROM store_sales , + date_dim + WHERE ss_sold_date_sk=d_date_sk + AND d_month_seq BETWEEN 1212 AND 1212+11 + AND ss_item_sk IS NOT NULL + GROUP BY ss_item_sk, + d_date) +SELECT * +FROM + (SELECT item_sk , + d_date , + web_sales , + store_sales , + max(web_sales) OVER (PARTITION BY item_sk + ORDER BY d_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) web_cumulative , + max(store_sales) OVER (PARTITION BY item_sk + ORDER BY d_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) store_cumulative + FROM + (SELECT CASE + WHEN web.item_sk IS NOT NULL THEN web.item_sk + ELSE store.item_sk + END item_sk , + CASE + WHEN web.d_date IS NOT NULL THEN web.d_date + ELSE store.d_date + END d_date , + web.cume_sales web_sales , + store.cume_sales store_sales + FROM web_v1 web + FULL OUTER JOIN store_v1 store ON (web.item_sk = store.item_sk + AND web.d_date = store.d_date))x)y +WHERE web_cumulative > store_cumulative +ORDER BY item_sk , + d_date +LIMIT 100; diff --git a/TPC-DS/queries/query52.sql b/TPC-DS/queries/query52.sql index f09deab1c217717af8a7df08785e741bfa4038a8..6a8bba6394893fffa4debdc704f5154b821b3c9b 100644 --- a/TPC-DS/queries/query52.sql +++ b/TPC-DS/queries/query52.sql @@ -1,19 +1,19 @@ -select dt.d_year - ,item.i_brand_id brand_id - ,item.i_brand brand - ,sum(ss_ext_sales_price) ext_price - from date_dim dt - ,store_sales - ,item - where dt.d_date_sk = store_sales.ss_sold_date_sk - and store_sales.ss_item_sk = item.i_item_sk - and item.i_manager_id = 1 - and dt.d_moy=12 - and dt.d_year=1998 - group by dt.d_year - ,item.i_brand - ,item.i_brand_id - order by dt.d_year - ,ext_price desc - ,brand_id -limit 100 ; +SELECT dt.d_year , + item.i_brand_id brand_id , + item.i_brand brand , + sum(ss_ext_sales_price) ext_price +FROM date_dim dt , + store_sales , + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manager_id = 1 + AND dt.d_moy=12 + AND dt.d_year=1998 +GROUP BY dt.d_year , + item.i_brand , + item.i_brand_id +ORDER BY dt.d_year , + ext_price DESC , + brand_id +LIMIT 100 ; diff --git a/TPC-DS/queries/query53.sql b/TPC-DS/queries/query53.sql index dcbc31a0366108286c664aa985f0172ea50a3cbf..873c9fc80cd241a3f0af7080f5a9e77ad48eaf02 100644 --- a/TPC-DS/queries/query53.sql +++ b/TPC-DS/queries/query53.sql @@ -1,25 +1,47 @@ -select * from -(select i_manufact_id, -sum(ss_sales_price) sum_sales, -avg(sum(ss_sales_price)) over (partition by i_manufact_id) avg_quarterly_sales -from item, store_sales, date_dim, store -where ss_item_sk = i_item_sk and -ss_sold_date_sk = d_date_sk and -ss_store_sk = s_store_sk and -d_month_seq in (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+11) and -((i_category in ('Books','Children','Electronics') and -i_class in ('personal','portable','reference','self-help') and -i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7', - 'exportiunivamalg #9','scholaramalgamalg #9')) -or(i_category in ('Women','Music','Men') and -i_class in ('accessories','classical','fragrances','pants') and -i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1', - 'importoamalg #1'))) -group by i_manufact_id, d_qoy ) tmp1 -where case when avg_quarterly_sales > 0 - then abs (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales - else null end > 0.1 -order by avg_quarterly_sales, - sum_sales, - i_manufact_id -limit 100; +SELECT * +FROM + (SELECT i_manufact_id, + sum(ss_sales_price) sum_sales, + avg(sum(ss_sales_price)) OVER (PARTITION BY i_manufact_id) avg_quarterly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_month_seq IN (1212, + 1212+1, + 1212+2, + 1212+3, + 1212+4, + 1212+5, + 1212+6, + 1212+7, + 1212+8, + 1212+9, + 1212+10, + 1212+11) + AND ((i_category IN ('Books', + 'Children', + 'Electronics') + AND i_class IN ('personal', + 'portable', + 'reference', + 'self-help') + AND i_brand IN ('scholaramalgamalg #14', + 'scholaramalgamalg #7', + 'exportiunivamalg #9', + 'scholaramalgamalg #9')) or(i_category IN ('Women', 'Music', 'Men') + AND i_class IN ('accessories', 'classical', 'fragrances', 'pants') + AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))) + GROUP BY i_manufact_id, + d_qoy) tmp1 +WHERE CASE + WHEN avg_quarterly_sales > 0 THEN ABS (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales + ELSE NULL + END > 0.1 +ORDER BY avg_quarterly_sales, + sum_sales, + i_manufact_id +LIMIT 100; diff --git a/TPC-DS/queries/query54.sql b/TPC-DS/queries/query54.sql index b88f71e8d2cc8a9499c92cf2b756d7047fc1e369..c8af428f994e0d32338cf9d0e80d2103e29b4722 100644 --- a/TPC-DS/queries/query54.sql +++ b/TPC-DS/queries/query54.sql @@ -1,53 +1,56 @@ -with my_customers as ( - select distinct c_customer_sk - , c_current_addr_sk - from - ( select cs_sold_date_sk sold_date_sk, - cs_bill_customer_sk customer_sk, - cs_item_sk item_sk - from catalog_sales - union all - select ws_sold_date_sk sold_date_sk, - ws_bill_customer_sk customer_sk, - ws_item_sk item_sk - from web_sales - ) cs_or_ws_sales, - item, - date_dim, - customer - where sold_date_sk = d_date_sk - and item_sk = i_item_sk - and i_category = 'Jewelry' - and i_class = 'consignment' - and c_customer_sk = cs_or_ws_sales.customer_sk - and d_moy = 3 - and d_year = 1999 - ) - , my_revenue as ( - select c_customer_sk, - sum(ss_ext_sales_price) as revenue - from my_customers, +WITH my_customers AS + (SELECT DISTINCT c_customer_sk , + c_current_addr_sk + FROM + (SELECT cs_sold_date_sk sold_date_sk, + cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + FROM catalog_sales + UNION ALL SELECT ws_sold_date_sk sold_date_sk, + ws_bill_customer_sk customer_sk, + ws_item_sk item_sk + FROM web_sales) cs_or_ws_sales, + item, + date_dim, + customer + WHERE sold_date_sk = d_date_sk + AND item_sk = i_item_sk + AND i_category = 'Jewelry' + AND i_class = 'consignment' + AND c_customer_sk = cs_or_ws_sales.customer_sk + AND d_moy = 3 + AND d_year = 1999) , + my_revenue AS + (SELECT c_customer_sk, + sum(ss_ext_sales_price) AS revenue + FROM my_customers, store_sales, customer_address, store, date_dim - where c_current_addr_sk = ca_address_sk - and ca_county = s_county - and ca_state = s_state - and ss_sold_date_sk = d_date_sk - and c_customer_sk = ss_customer_sk - and d_month_seq between (select distinct d_month_seq+1 - from date_dim where d_year = 1999 and d_moy = 3) - and (select distinct d_month_seq+3 - from date_dim where d_year = 1999 and d_moy = 3) - group by c_customer_sk - ) - , segments as - (select cast((revenue/50) as int) as segment - from my_revenue - ) - select segment, count(*) as num_customers, segment*50 as segment_base - from segments - group by segment - order by segment, num_customers - limit 100; + WHERE c_current_addr_sk = ca_address_sk + AND ca_county = s_county + AND ca_state = s_state + AND ss_sold_date_sk = d_date_sk + AND c_customer_sk = ss_customer_sk + AND d_month_seq BETWEEN + (SELECT DISTINCT d_month_seq+1 + FROM date_dim + WHERE d_year = 1999 + AND d_moy = 3) AND + (SELECT DISTINCT d_month_seq+3 + FROM date_dim + WHERE d_year = 1999 + AND d_moy = 3) + GROUP BY c_customer_sk) , + segments AS + (SELECT cast((revenue/50) AS int) AS SEGMENT + FROM my_revenue) +SELECT SEGMENT, + count(*) AS num_customers, + SEGMENT*50 AS segment_base +FROM segments +GROUP BY SEGMENT +ORDER BY SEGMENT, + num_customers +LIMIT 100; diff --git a/TPC-DS/queries/query55.sql b/TPC-DS/queries/query55.sql index 4c95e952418848935d5409114c7155fc3d4bf896..bbcce6f06a317521fa2cddaca68480702feea5ea 100644 --- a/TPC-DS/queries/query55.sql +++ b/TPC-DS/queries/query55.sql @@ -1,11 +1,16 @@ -select i_brand_id brand_id, i_brand brand, - sum(ss_ext_sales_price) ext_price - from date_dim, store_sales, item - where d_date_sk = ss_sold_date_sk - and ss_item_sk = i_item_sk - and i_manager_id=36 - and d_moy=12 - and d_year=2001 - group by i_brand, i_brand_id - order by ext_price desc, i_brand_id -limit 100 ; +SELECT i_brand_id brand_id, + i_brand brand, + sum(ss_ext_sales_price) ext_price +FROM date_dim, + store_sales, + item +WHERE d_date_sk = ss_sold_date_sk + AND ss_item_sk = i_item_sk + AND i_manager_id=36 + AND d_moy=12 + AND d_year=2001 +GROUP BY i_brand, + i_brand_id +ORDER BY ext_price DESC, + i_brand_id +LIMIT 100 ; diff --git a/TPC-DS/queries/query56.sql b/TPC-DS/queries/query56.sql index 6ad55160d9bf2af705fa2a67511d69902d3e42bb..d79a5e096856c3e0de9213bcce9de917c16baee2 100644 --- a/TPC-DS/queries/query56.sql +++ b/TPC-DS/queries/query56.sql @@ -1,66 +1,73 @@ -with ss as ( - select i_item_id,sum(ss_ext_sales_price) total_sales - from - store_sales, - date_dim, - customer_address, - item - where i_item_id in (select - i_item_id -from item -where i_color in ('orchid','chiffon','lace')) - and ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and d_year = 2000 - and d_moy = 1 - and ss_addr_sk = ca_address_sk - and ca_gmt_offset = -8 - group by i_item_id), - cs as ( - select i_item_id,sum(cs_ext_sales_price) total_sales - from - catalog_sales, - date_dim, - customer_address, - item - where - i_item_id in (select - i_item_id -from item -where i_color in ('orchid','chiffon','lace')) - and cs_item_sk = i_item_sk - and cs_sold_date_sk = d_date_sk - and d_year = 2000 - and d_moy = 1 - and cs_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -8 - group by i_item_id), - ws as ( - select i_item_id,sum(ws_ext_sales_price) total_sales - from - web_sales, - date_dim, - customer_address, - item - where - i_item_id in (select - i_item_id -from item -where i_color in ('orchid','chiffon','lace')) - and ws_item_sk = i_item_sk - and ws_sold_date_sk = d_date_sk - and d_year = 2000 - and d_moy = 1 - and ws_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -8 - group by i_item_id) - select i_item_id ,sum(total_sales) total_sales - from (select * from ss - union all - select * from cs - union all - select * from ws) tmp1 - group by i_item_id - order by total_sales, - i_item_id - limit 100; +WITH ss AS + (SELECT i_item_id, + sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN + (SELECT i_item_id + FROM item + WHERE i_color IN ('orchid', + 'chiffon', + 'lace')) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2000 + AND d_moy = 1 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -8 + GROUP BY i_item_id), + cs AS + (SELECT i_item_id, + sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN + (SELECT i_item_id + FROM item + WHERE i_color IN ('orchid', + 'chiffon', + 'lace')) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2000 + AND d_moy = 1 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -8 + GROUP BY i_item_id), + ws AS + (SELECT i_item_id, + sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN + (SELECT i_item_id + FROM item + WHERE i_color IN ('orchid', + 'chiffon', + 'lace')) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2000 + AND d_moy = 1 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -8 + GROUP BY i_item_id) +SELECT i_item_id, + sum(total_sales) total_sales +FROM + (SELECT * + FROM ss + UNION ALL SELECT * + FROM cs + UNION ALL SELECT * + FROM ws) tmp1 +GROUP BY i_item_id +ORDER BY total_sales, + i_item_id +LIMIT 100; diff --git a/TPC-DS/queries/query57.sql b/TPC-DS/queries/query57.sql index c377decb5c7395d2e7cc6936b3e80ebe707f034a..49733e082e7edabac8f5408f9b0221ec24035846 100644 --- a/TPC-DS/queries/query57.sql +++ b/TPC-DS/queries/query57.sql @@ -1,45 +1,57 @@ -with v1 as( - select i_category, i_brand, - cc_name, - d_year, d_moy, - sum(cs_sales_price) sum_sales, - avg(sum(cs_sales_price)) over - (partition by i_category, i_brand, - cc_name, d_year) - avg_monthly_sales, - rank() over - (partition by i_category, i_brand, - cc_name - order by d_year, d_moy) rn - from item, catalog_sales, date_dim, call_center - where cs_item_sk = i_item_sk and - cs_sold_date_sk = d_date_sk and - cc_call_center_sk= cs_call_center_sk and - ( - d_year = 2000 or - ( d_year = 2000-1 and d_moy =12) or - ( d_year = 2000+1 and d_moy =1) - ) - group by i_category, i_brand, - cc_name , d_year, d_moy), - v2 as( - select v1.cc_name - ,v1.d_year, v1.d_moy - ,v1.avg_monthly_sales - ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum - from v1, v1 v1_lag, v1 v1_lead - where v1.i_category = v1_lag.i_category and - v1.i_category = v1_lead.i_category and - v1.i_brand = v1_lag.i_brand and - v1.i_brand = v1_lead.i_brand and - v1. cc_name = v1_lag. cc_name and - v1. cc_name = v1_lead. cc_name and - v1.rn = v1_lag.rn + 1 and - v1.rn = v1_lead.rn - 1) - select * - from v2 - where d_year = 2000 and - avg_monthly_sales > 0 and - case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1 - order by sum_sales - avg_monthly_sales, nsum - limit 100; +WITH v1 AS + (SELECT i_category, + i_brand, + cc_name, + d_year, + d_moy, + sum(cs_sales_price) sum_sales, + avg(sum(cs_sales_price)) OVER (PARTITION BY i_category, i_brand, cc_name, d_year) avg_monthly_sales, + rank() OVER (PARTITION BY i_category, i_brand, cc_name + ORDER BY d_year, d_moy) rn + FROM item, + catalog_sales, + date_dim, + call_center + WHERE cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND cc_call_center_sk= cs_call_center_sk + AND (d_year = 2000 + OR (d_year = 2000-1 + AND d_moy =12) + OR (d_year = 2000+1 + AND d_moy =1)) + GROUP BY i_category, + i_brand, + cc_name, + d_year, + d_moy), + v2 AS + (SELECT v1.cc_name , + v1.d_year, + v1.d_moy , + v1.avg_monthly_sales , + v1.sum_sales, + v1_lag.sum_sales psum, + v1_lead.sum_sales nsum + FROM v1, + v1 v1_lag, + v1 v1_lead + WHERE v1.i_category = v1_lag.i_category + AND v1.i_category = v1_lead.i_category + AND v1.i_brand = v1_lag.i_brand + AND v1.i_brand = v1_lead.i_brand + AND v1. cc_name = v1_lag. cc_name + AND v1. cc_name = v1_lead. cc_name + AND v1.rn = v1_lag.rn + 1 + AND v1.rn = v1_lead.rn - 1) +SELECT * +FROM v2 +WHERE d_year = 2000 + AND avg_monthly_sales > 0 + AND CASE + WHEN avg_monthly_sales > 0 THEN abs(sum_sales - avg_monthly_sales) / avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + nsum +LIMIT 100; diff --git a/TPC-DS/queries/query58.sql b/TPC-DS/queries/query58.sql index a6a5b47723fbf9a2266fcab018dc76c7cb1ec906..0c63190354a4ae262dc48dde0467d240e727f972 100644 --- a/TPC-DS/queries/query58.sql +++ b/TPC-DS/queries/query58.sql @@ -1,62 +1,70 @@ -with ss_items as - (select i_item_id item_id - ,sum(ss_ext_sales_price) ss_item_rev - from store_sales - ,item - ,date_dim - where ss_item_sk = i_item_sk - and d_date in (select d_date - from date_dim - where d_week_seq = (select d_week_seq - from date_dim - where d_date = '1998-02-19')) - and ss_sold_date_sk = d_date_sk - group by i_item_id), - cs_items as - (select i_item_id item_id - ,sum(cs_ext_sales_price) cs_item_rev - from catalog_sales - ,item - ,date_dim - where cs_item_sk = i_item_sk - and d_date in (select d_date - from date_dim - where d_week_seq = (select d_week_seq - from date_dim - where d_date = '1998-02-19')) - and cs_sold_date_sk = d_date_sk - group by i_item_id), - ws_items as - (select i_item_id item_id - ,sum(ws_ext_sales_price) ws_item_rev - from web_sales - ,item - ,date_dim - where ws_item_sk = i_item_sk - and d_date in (select d_date - from date_dim - where d_week_seq =(select d_week_seq - from date_dim - where d_date = '1998-02-19')) - and ws_sold_date_sk = d_date_sk - group by i_item_id) - select ss_items.item_id - ,ss_item_rev - ,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev - ,cs_item_rev - ,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev - ,ws_item_rev - ,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev - ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average - from ss_items,cs_items,ws_items - where ss_items.item_id=cs_items.item_id - and ss_items.item_id=ws_items.item_id - and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev - and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev - and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev - and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev - and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev - and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev - order by item_id - ,ss_item_rev - limit 100; +WITH ss_items AS + (SELECT i_item_id item_id , + sum(ss_ext_sales_price) ss_item_rev + FROM store_sales , + item , + date_dim + WHERE ss_item_sk = i_item_sk + AND d_date IN + (SELECT d_date + FROM date_dim + WHERE d_week_seq = + (SELECT d_week_seq + FROM date_dim + WHERE d_date = '1998-02-19')) + AND ss_sold_date_sk = d_date_sk + GROUP BY i_item_id), + cs_items AS + (SELECT i_item_id item_id , + sum(cs_ext_sales_price) cs_item_rev + FROM catalog_sales , + item , + date_dim + WHERE cs_item_sk = i_item_sk + AND d_date IN + (SELECT d_date + FROM date_dim + WHERE d_week_seq = + (SELECT d_week_seq + FROM date_dim + WHERE d_date = '1998-02-19')) + AND cs_sold_date_sk = d_date_sk + GROUP BY i_item_id), + ws_items AS + (SELECT i_item_id item_id , + sum(ws_ext_sales_price) ws_item_rev + FROM web_sales , + item , + date_dim + WHERE ws_item_sk = i_item_sk + AND d_date IN + (SELECT d_date + FROM date_dim + WHERE d_week_seq = + (SELECT d_week_seq + FROM date_dim + WHERE d_date = '1998-02-19')) + AND ws_sold_date_sk = d_date_sk + GROUP BY i_item_id) +SELECT ss_items.item_id , + ss_item_rev , + ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev , + cs_item_rev , + cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev , + ws_item_rev , + ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev , + (ss_item_rev+cs_item_rev+ws_item_rev)/3 average +FROM ss_items, + cs_items, + ws_items +WHERE ss_items.item_id=cs_items.item_id + AND ss_items.item_id=ws_items.item_id + AND ss_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev + AND ss_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev + AND cs_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev + AND cs_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev + AND ws_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev + AND ws_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev +ORDER BY item_id , + ss_item_rev +LIMIT 100; diff --git a/TPC-DS/queries/query59.sql b/TPC-DS/queries/query59.sql index f13ab3e6c58ee0563a50a0bc2a9be47e6fbc007a..be1d358ce2f55851523d9b4c2f7892f40d640635 100644 --- a/TPC-DS/queries/query59.sql +++ b/TPC-DS/queries/query59.sql @@ -1,41 +1,86 @@ -with wss as - (select d_week_seq, - ss_store_sk, - sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales, - sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales, - sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales, - sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales, - sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales, - sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales, - sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales - from store_sales,date_dim - where d_date_sk = ss_sold_date_sk - group by d_week_seq,ss_store_sk - ) - select s_store_name1,s_store_id1,d_week_seq1 - ,sun_sales1/sun_sales2,mon_sales1/mon_sales2 - ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2 - ,fri_sales1/fri_sales2,sat_sales1/sat_sales2 - from - (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1 - ,s_store_id s_store_id1,sun_sales sun_sales1 - ,mon_sales mon_sales1,tue_sales tue_sales1 - ,wed_sales wed_sales1,thu_sales thu_sales1 - ,fri_sales fri_sales1,sat_sales sat_sales1 - from wss,store,date_dim d - where d.d_week_seq = wss.d_week_seq and - ss_store_sk = s_store_sk and - d_month_seq between 1185 and 1185 + 11) y, - (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2 - ,s_store_id s_store_id2,sun_sales sun_sales2 - ,mon_sales mon_sales2,tue_sales tue_sales2 - ,wed_sales wed_sales2,thu_sales thu_sales2 - ,fri_sales fri_sales2,sat_sales sat_sales2 - from wss,store,date_dim d - where d.d_week_seq = wss.d_week_seq and - ss_store_sk = s_store_sk and - d_month_seq between 1185+ 12 and 1185 + 23) x - where s_store_id1=s_store_id2 - and d_week_seq1=d_week_seq2-52 - order by s_store_name1,s_store_id1,d_week_seq1 -limit 100; +WITH wss AS + (SELECT d_week_seq, + ss_store_sk, + sum(CASE + WHEN (d_day_name='Sunday') THEN ss_sales_price + ELSE NULL + END) sun_sales, + sum(CASE + WHEN (d_day_name='Monday') THEN ss_sales_price + ELSE NULL + END) mon_sales, + sum(CASE + WHEN (d_day_name='Tuesday') THEN ss_sales_price + ELSE NULL + END) tue_sales, + sum(CASE + WHEN (d_day_name='Wednesday') THEN ss_sales_price + ELSE NULL + END) wed_sales, + sum(CASE + WHEN (d_day_name='Thursday') THEN ss_sales_price + ELSE NULL + END) thu_sales, + sum(CASE + WHEN (d_day_name='Friday') THEN ss_sales_price + ELSE NULL + END) fri_sales, + sum(CASE + WHEN (d_day_name='Saturday') THEN ss_sales_price + ELSE NULL + END) sat_sales + FROM store_sales, + date_dim + WHERE d_date_sk = ss_sold_date_sk + GROUP BY d_week_seq, + ss_store_sk) +SELECT s_store_name1, + s_store_id1, + d_week_seq1 , + sun_sales1/sun_sales2, + mon_sales1/mon_sales2 , + tue_sales1/tue_sales2, + wed_sales1/wed_sales2, + thu_sales1/thu_sales2 , + fri_sales1/fri_sales2, + sat_sales1/sat_sales2 +FROM + (SELECT s_store_name s_store_name1, + wss.d_week_seq d_week_seq1 , + s_store_id s_store_id1, + sun_sales sun_sales1 , + mon_sales mon_sales1, + tue_sales tue_sales1 , + wed_sales wed_sales1, + thu_sales thu_sales1 , + fri_sales fri_sales1, + sat_sales sat_sales1 + FROM wss, + store, + date_dim d + WHERE d.d_week_seq = wss.d_week_seq + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1185 AND 1185 + 11) y, + + (SELECT s_store_name s_store_name2, + wss.d_week_seq d_week_seq2 , + s_store_id s_store_id2, + sun_sales sun_sales2 , + mon_sales mon_sales2, + tue_sales tue_sales2 , + wed_sales wed_sales2, + thu_sales thu_sales2 , + fri_sales fri_sales2, + sat_sales sat_sales2 + FROM wss, + store, + date_dim d + WHERE d.d_week_seq = wss.d_week_seq + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1185+ 12 AND 1185 + 23) x +WHERE s_store_id1=s_store_id2 + AND d_week_seq1=d_week_seq2-52 +ORDER BY s_store_name1, + s_store_id1, + d_week_seq1 +LIMIT 100; diff --git a/TPC-DS/queries/query6.sql b/TPC-DS/queries/query6.sql index 955ee2b1063d4f366174ae299408371ba0fdc209..775e4f6d96d66e68e8a8f201d692c03891953f43 100644 --- a/TPC-DS/queries/query6.sql +++ b/TPC-DS/queries/query6.sql @@ -1,23 +1,25 @@ -select a.ca_state state, count(*) cnt - from customer_address a - ,customer c - ,store_sales s - ,date_dim d - ,item i - where a.ca_address_sk = c.c_current_addr_sk - and c.c_customer_sk = s.ss_customer_sk - and s.ss_sold_date_sk = d.d_date_sk - and s.ss_item_sk = i.i_item_sk - and d.d_month_seq = - (select distinct (d_month_seq) - from date_dim - where d_year = 2000 - and d_moy = 2 ) - and i.i_current_price > 1.2 * - (select avg(j.i_current_price) - from item j - where j.i_category = i.i_category) - group by a.ca_state - having count(*) >= 10 - order by cnt, a.ca_state - limit 100; +SELECT a.ca_state state, + count(*) cnt +FROM customer_address a , + customer c , + store_sales s , + date_dim d , + item i +WHERE a.ca_address_sk = c.c_current_addr_sk + AND c.c_customer_sk = s.ss_customer_sk + AND s.ss_sold_date_sk = d.d_date_sk + AND s.ss_item_sk = i.i_item_sk + AND d.d_month_seq = + (SELECT DISTINCT (d_month_seq) + FROM date_dim + WHERE d_year = 2000 + AND d_moy = 2) + AND i.i_current_price > 1.2 * + (SELECT avg(j.i_current_price) + FROM item j + WHERE j.i_category = i.i_category) +GROUP BY a.ca_state +HAVING count(*) >= 10 +ORDER BY cnt, + a.ca_state +LIMIT 100; diff --git a/TPC-DS/queries/query60.sql b/TPC-DS/queries/query60.sql index 8b5781368469cb401b5f24b2291d7f5e043e6c84..a8ac6d6174d68271a59af6cbc3d742d9c7832c3b 100644 --- a/TPC-DS/queries/query60.sql +++ b/TPC-DS/queries/query60.sql @@ -1,75 +1,67 @@ -with ss as ( - select - i_item_id,sum(ss_ext_sales_price) total_sales - from - store_sales, - date_dim, - customer_address, - item - where - i_item_id in (select - i_item_id -from - item -where i_category in ('Children')) - and ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 9 - and ss_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_item_id), - cs as ( - select - i_item_id,sum(cs_ext_sales_price) total_sales - from - catalog_sales, - date_dim, - customer_address, - item - where - i_item_id in (select - i_item_id -from - item -where i_category in ('Children')) - and cs_item_sk = i_item_sk - and cs_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 9 - and cs_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_item_id), - ws as ( - select - i_item_id,sum(ws_ext_sales_price) total_sales - from - web_sales, - date_dim, - customer_address, - item - where - i_item_id in (select - i_item_id -from - item -where i_category in ('Children')) - and ws_item_sk = i_item_sk - and ws_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 9 - and ws_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_item_id) - select - i_item_id -,sum(total_sales) total_sales - from (select * from ss - union all - select * from cs - union all - select * from ws) tmp1 - group by i_item_id - order by i_item_id - ,total_sales - limit 100; +WITH ss AS + (SELECT i_item_id, + sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN + (SELECT i_item_id + FROM item + WHERE i_category IN ('Children')) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 9 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + cs AS + (SELECT i_item_id, + sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN + (SELECT i_item_id + FROM item + WHERE i_category IN ('Children')) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 9 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + ws AS + (SELECT i_item_id, + sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN + (SELECT i_item_id + FROM item + WHERE i_category IN ('Children')) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 9 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id) +SELECT i_item_id, + sum(total_sales) total_sales +FROM + (SELECT * + FROM ss + UNION ALL SELECT * + FROM cs + UNION ALL SELECT * + FROM ws) tmp1 +GROUP BY i_item_id +ORDER BY i_item_id , + total_sales +LIMIT 100; diff --git a/TPC-DS/queries/query61.sql b/TPC-DS/queries/query61.sql index 4e0ff819e77f103e8152546f36885a7497c74e78..9b93f236c88125a86166129cf10b89d574b6ea07 100644 --- a/TPC-DS/queries/query61.sql +++ b/TPC-DS/queries/query61.sql @@ -1,41 +1,47 @@ -select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 -from - (select sum(ss_ext_sales_price) promotions - from store_sales - ,store - ,promotion - ,date_dim - ,customer - ,customer_address - ,item - where ss_sold_date_sk = d_date_sk - and ss_store_sk = s_store_sk - and ss_promo_sk = p_promo_sk - and ss_customer_sk= c_customer_sk - and ca_address_sk = c_current_addr_sk - and ss_item_sk = i_item_sk - and ca_gmt_offset = -7 - and i_category = 'Books' - and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') - and s_gmt_offset = -7 - and d_year = 1999 - and d_moy = 11) promotional_sales, - (select sum(ss_ext_sales_price) total - from store_sales - ,store - ,date_dim - ,customer - ,customer_address - ,item - where ss_sold_date_sk = d_date_sk - and ss_store_sk = s_store_sk - and ss_customer_sk= c_customer_sk - and ca_address_sk = c_current_addr_sk - and ss_item_sk = i_item_sk - and ca_gmt_offset = -7 - and i_category = 'Books' - and s_gmt_offset = -7 - and d_year = 1999 - and d_moy = 11) all_sales -order by promotions, total -limit 100; +SELECT promotions, + total, + cast(promotions AS decimal(15, 4))/cast(total AS decimal(15, 4))*100 +FROM + (SELECT sum(ss_ext_sales_price) promotions + FROM store_sales , + store , + promotion , + date_dim , + customer , + customer_address , + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ss_promo_sk = p_promo_sk + AND ss_customer_sk= c_customer_sk + AND ca_address_sk = c_current_addr_sk + AND ss_item_sk = i_item_sk + AND ca_gmt_offset = -7 + AND i_category = 'Books' + AND (p_channel_dmail = 'Y' + OR p_channel_email = 'Y' + OR p_channel_tv = 'Y') + AND s_gmt_offset = -7 + AND d_year = 1999 + AND d_moy = 11) promotional_sales, + + (SELECT sum(ss_ext_sales_price) total + FROM store_sales , + store , + date_dim , + customer , + customer_address , + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ss_customer_sk= c_customer_sk + AND ca_address_sk = c_current_addr_sk + AND ss_item_sk = i_item_sk + AND ca_gmt_offset = -7 + AND i_category = 'Books' + AND s_gmt_offset = -7 + AND d_year = 1999 + AND d_moy = 11) all_sales +ORDER BY promotions, + total +LIMIT 100; diff --git a/TPC-DS/queries/query62.sql b/TPC-DS/queries/query62.sql index 614285fed6e81f671829e30b164334e865462cbd..97557090fc1e68f5684c47e473b2e17483cf0219 100644 --- a/TPC-DS/queries/query62.sql +++ b/TPC-DS/queries/query62.sql @@ -1,32 +1,43 @@ -select - substr(w_warehouse_name,1,20) - ,sm_type - ,web_name - ,sum(case when (ws_ship_date_sk - ws_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days" - ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 30) and - (ws_ship_date_sk - ws_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days" - ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 60) and - (ws_ship_date_sk - ws_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days" - ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 90) and - (ws_ship_date_sk - ws_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days" - ,sum(case when (ws_ship_date_sk - ws_sold_date_sk > 120) then 1 else 0 end) as ">120 days" -from - web_sales - ,warehouse - ,ship_mode - ,web_site - ,date_dim -where - d_month_seq between 1212 and 1212 + 11 -and ws_ship_date_sk = d_date_sk -and ws_warehouse_sk = w_warehouse_sk -and ws_ship_mode_sk = sm_ship_mode_sk -and ws_web_site_sk = web_site_sk -group by - substr(w_warehouse_name,1,20) - ,sm_type - ,web_name -order by substr(w_warehouse_name,1,20) - ,sm_type - ,web_name -limit 100; +SELECT substr(w_warehouse_name, 1, 20) , + sm_type , + web_name , + sum(CASE + WHEN (ws_ship_date_sk - ws_sold_date_sk <= 30) THEN 1 + ELSE 0 + END) AS "30 days" , + sum(CASE + WHEN (ws_ship_date_sk - ws_sold_date_sk > 30) + AND (ws_ship_date_sk - ws_sold_date_sk <= 60) THEN 1 + ELSE 0 + END) AS "31-60 days" , + sum(CASE + WHEN (ws_ship_date_sk - ws_sold_date_sk > 60) + AND (ws_ship_date_sk - ws_sold_date_sk <= 90) THEN 1 + ELSE 0 + END) AS "61-90 days" , + sum(CASE + WHEN (ws_ship_date_sk - ws_sold_date_sk > 90) + AND (ws_ship_date_sk - ws_sold_date_sk <= 120) THEN 1 + ELSE 0 + END) AS "91-120 days" , + sum(CASE + WHEN (ws_ship_date_sk - ws_sold_date_sk > 120) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM web_sales , + warehouse , + ship_mode , + web_site , + date_dim +WHERE d_month_seq BETWEEN 1212 AND 1212 + 11 + AND ws_ship_date_sk = d_date_sk + AND ws_warehouse_sk = w_warehouse_sk + AND ws_ship_mode_sk = sm_ship_mode_sk + AND ws_web_site_sk = web_site_sk +GROUP BY substr(w_warehouse_name, 1, 20) , + sm_type , + web_name +ORDER BY substr(w_warehouse_name, 1, 20) , + sm_type , + web_name +LIMIT 100; diff --git a/TPC-DS/queries/query63.sql b/TPC-DS/queries/query63.sql index 80ab5cb8081d44f944f164066e83850d91dca3b4..9555209be997a1b9f37508ebd90382aef0abb22c 100644 --- a/TPC-DS/queries/query63.sql +++ b/TPC-DS/queries/query63.sql @@ -1,26 +1,47 @@ -select * -from (select i_manager_id - ,sum(ss_sales_price) sum_sales - ,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales - from item - ,store_sales - ,date_dim - ,store - where ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and ss_store_sk = s_store_sk - and d_month_seq in (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+11) - and (( i_category in ('Books','Children','Electronics') - and i_class in ('personal','portable','reference','self-help') - and i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7', - 'exportiunivamalg #9','scholaramalgamalg #9')) - or( i_category in ('Women','Music','Men') - and i_class in ('accessories','classical','fragrances','pants') - and i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1', - 'importoamalg #1'))) -group by i_manager_id, d_moy) tmp1 -where case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1 -order by i_manager_id - ,avg_monthly_sales - ,sum_sales -limit 100; +SELECT * +FROM + (SELECT i_manager_id , + sum(ss_sales_price) sum_sales , + avg(sum(ss_sales_price)) OVER (PARTITION BY i_manager_id) avg_monthly_sales + FROM item , + store_sales , + date_dim , + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_month_seq IN (1212, + 1212+1, + 1212+2, + 1212+3, + 1212+4, + 1212+5, + 1212+6, + 1212+7, + 1212+8, + 1212+9, + 1212+10, + 1212+11) + AND ((i_category IN ('Books', + 'Children', + 'Electronics') + AND i_class IN ('personal', + 'portable', + 'reference', + 'self-help') + AND i_brand IN ('scholaramalgamalg #14', + 'scholaramalgamalg #7', + 'exportiunivamalg #9', + 'scholaramalgamalg #9')) or(i_category IN ('Women', 'Music', 'Men') + AND i_class IN ('accessories', 'classical', 'fragrances', 'pants') + AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))) + GROUP BY i_manager_id, + d_moy) tmp1 +WHERE CASE + WHEN avg_monthly_sales > 0 THEN ABS (sum_sales - avg_monthly_sales) / avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY i_manager_id , + avg_monthly_sales , + sum_sales +LIMIT 100; diff --git a/TPC-DS/queries/query64.sql b/TPC-DS/queries/query64.sql index 869ca14f824359f814c16d1ce9919a397a5d50ce..80202fefa47394f9d2c79a319fbbee8f6a52ac75 100644 --- a/TPC-DS/queries/query64.sql +++ b/TPC-DS/queries/query64.sql @@ -1,118 +1,124 @@ -with cs_ui as - (select cs_item_sk - ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund - from catalog_sales - ,catalog_returns - where cs_item_sk = cr_item_sk - and cs_order_number = cr_order_number - group by cs_item_sk - having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)), -cross_sales as - (select i_product_name product_name - ,i_item_sk item_sk - ,s_store_name store_name - ,s_zip store_zip - ,ad1.ca_street_number b_street_number - ,ad1.ca_street_name b_street_name - ,ad1.ca_city b_city - ,ad1.ca_zip b_zip - ,ad2.ca_street_number c_street_number - ,ad2.ca_street_name c_street_name - ,ad2.ca_city c_city - ,ad2.ca_zip c_zip - ,d1.d_year as syear - ,d2.d_year as fsyear - ,d3.d_year s2year - ,count(*) cnt - ,sum(ss_wholesale_cost) s1 - ,sum(ss_list_price) s2 - ,sum(ss_coupon_amt) s3 - FROM store_sales - ,store_returns - ,cs_ui - ,date_dim d1 - ,date_dim d2 - ,date_dim d3 - ,store - ,customer - ,customer_demographics cd1 - ,customer_demographics cd2 - ,promotion - ,household_demographics hd1 - ,household_demographics hd2 - ,customer_address ad1 - ,customer_address ad2 - ,income_band ib1 - ,income_band ib2 - ,item - WHERE ss_store_sk = s_store_sk AND - ss_sold_date_sk = d1.d_date_sk AND - ss_customer_sk = c_customer_sk AND - ss_cdemo_sk= cd1.cd_demo_sk AND - ss_hdemo_sk = hd1.hd_demo_sk AND - ss_addr_sk = ad1.ca_address_sk and - ss_item_sk = i_item_sk and - ss_item_sk = sr_item_sk and - ss_ticket_number = sr_ticket_number and - ss_item_sk = cs_ui.cs_item_sk and - c_current_cdemo_sk = cd2.cd_demo_sk AND - c_current_hdemo_sk = hd2.hd_demo_sk AND - c_current_addr_sk = ad2.ca_address_sk and - c_first_sales_date_sk = d2.d_date_sk and - c_first_shipto_date_sk = d3.d_date_sk and - ss_promo_sk = p_promo_sk and - hd1.hd_income_band_sk = ib1.ib_income_band_sk and - hd2.hd_income_band_sk = ib2.ib_income_band_sk and - cd1.cd_marital_status <> cd2.cd_marital_status and - i_color in ('maroon','burnished','dim','steel','navajo','chocolate') and - i_current_price between 35 and 35 + 10 and - i_current_price between 35 + 1 and 35 + 15 -group by i_product_name - ,i_item_sk - ,s_store_name - ,s_zip - ,ad1.ca_street_number - ,ad1.ca_street_name - ,ad1.ca_city - ,ad1.ca_zip - ,ad2.ca_street_number - ,ad2.ca_street_name - ,ad2.ca_city - ,ad2.ca_zip - ,d1.d_year - ,d2.d_year - ,d3.d_year -) -select cs1.product_name - ,cs1.store_name - ,cs1.store_zip - ,cs1.b_street_number - ,cs1.b_street_name - ,cs1.b_city - ,cs1.b_zip - ,cs1.c_street_number - ,cs1.c_street_name - ,cs1.c_city - ,cs1.c_zip - ,cs1.syear - ,cs1.cnt - ,cs1.s1 as s11 - ,cs1.s2 as s21 - ,cs1.s3 as s31 - ,cs2.s1 as s12 - ,cs2.s2 as s22 - ,cs2.s3 as s32 - ,cs2.syear - ,cs2.cnt -from cross_sales cs1,cross_sales cs2 -where cs1.item_sk=cs2.item_sk and - cs1.syear = 2000 and - cs2.syear = 2000 + 1 and - cs2.cnt <= cs1.cnt and - cs1.store_name = cs2.store_name and - cs1.store_zip = cs2.store_zip -order by cs1.product_name - ,cs1.store_name - ,cs2.cnt - ,cs1.s1 - ,cs2.s1; +WITH cs_ui AS + (SELECT cs_item_sk , + sum(cs_ext_list_price) AS sale, + sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) AS refund + FROM catalog_sales , + catalog_returns + WHERE cs_item_sk = cr_item_sk + AND cs_order_number = cr_order_number + GROUP BY cs_item_sk + HAVING sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)), + cross_sales AS + (SELECT i_product_name product_name , + i_item_sk item_sk , + s_store_name store_name , + s_zip store_zip , + ad1.ca_street_number b_street_number , + ad1.ca_street_name b_street_name , + ad1.ca_city b_city , + ad1.ca_zip b_zip , + ad2.ca_street_number c_street_number , + ad2.ca_street_name c_street_name , + ad2.ca_city c_city , + ad2.ca_zip c_zip , + d1.d_year AS syear , + d2.d_year AS fsyear , + d3.d_year s2year , + count(*) cnt , + sum(ss_wholesale_cost) s1 , + sum(ss_list_price) s2 , + sum(ss_coupon_amt) s3 + FROM store_sales , + store_returns , + cs_ui , + date_dim d1 , + date_dim d2 , + date_dim d3 , + store , + customer , + customer_demographics cd1 , + customer_demographics cd2 , + promotion , + household_demographics hd1 , + household_demographics hd2 , + customer_address ad1 , + customer_address ad2 , + income_band ib1 , + income_band ib2 , + item + WHERE ss_store_sk = s_store_sk + AND ss_sold_date_sk = d1.d_date_sk + AND ss_customer_sk = c_customer_sk + AND ss_cdemo_sk= cd1.cd_demo_sk + AND ss_hdemo_sk = hd1.hd_demo_sk + AND ss_addr_sk = ad1.ca_address_sk + AND ss_item_sk = i_item_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND ss_item_sk = cs_ui.cs_item_sk + AND c_current_cdemo_sk = cd2.cd_demo_sk + AND c_current_hdemo_sk = hd2.hd_demo_sk + AND c_current_addr_sk = ad2.ca_address_sk + AND c_first_sales_date_sk = d2.d_date_sk + AND c_first_shipto_date_sk = d3.d_date_sk + AND ss_promo_sk = p_promo_sk + AND hd1.hd_income_band_sk = ib1.ib_income_band_sk + AND hd2.hd_income_band_sk = ib2.ib_income_band_sk + AND cd1.cd_marital_status <> cd2.cd_marital_status + AND i_color IN ('maroon', + 'burnished', + 'dim', + 'steel', + 'navajo', + 'chocolate') + AND i_current_price BETWEEN 35 AND 35 + 10 + AND i_current_price BETWEEN 35 + 1 AND 35 + 15 + GROUP BY i_product_name , + i_item_sk , + s_store_name , + s_zip , + ad1.ca_street_number , + ad1.ca_street_name , + ad1.ca_city , + ad1.ca_zip , + ad2.ca_street_number , + ad2.ca_street_name , + ad2.ca_city , + ad2.ca_zip , + d1.d_year , + d2.d_year , + d3.d_year) +SELECT cs1.product_name , + cs1.store_name , + cs1.store_zip , + cs1.b_street_number , + cs1.b_street_name , + cs1.b_city , + cs1.b_zip , + cs1.c_street_number , + cs1.c_street_name , + cs1.c_city , + cs1.c_zip , + cs1.syear , + cs1.cnt , + cs1.s1 AS s11 , + cs1.s2 AS s21 , + cs1.s3 AS s31 , + cs2.s1 AS s12 , + cs2.s2 AS s22 , + cs2.s3 AS s32 , + cs2.syear , + cs2.cnt +FROM cross_sales cs1, + cross_sales cs2 +WHERE cs1.item_sk=cs2.item_sk + AND cs1.syear = 2000 + AND cs2.syear = 2000 + 1 + AND cs2.cnt <= cs1.cnt + AND cs1.store_name = cs2.store_name + AND cs1.store_zip = cs2.store_zip +ORDER BY cs1.product_name , + cs1.store_name , + cs2.cnt , + cs1.s1 , + cs2.s1; diff --git a/TPC-DS/queries/query65.sql b/TPC-DS/queries/query65.sql index 8deea69e018b4635447bc1d3f2c999e9735c6258..6bb52c0be299897900b67913b8932db192e300a4 100644 --- a/TPC-DS/queries/query65.sql +++ b/TPC-DS/queries/query65.sql @@ -1,26 +1,39 @@ -select - s_store_name, - i_item_desc, - sc.revenue, - i_current_price, - i_wholesale_cost, - i_brand - from store, item, - (select ss_store_sk, avg(revenue) as ave - from - (select ss_store_sk, ss_item_sk, - sum(ss_sales_price) as revenue - from store_sales, date_dim - where ss_sold_date_sk = d_date_sk and d_month_seq between 1212 and 1212+11 - group by ss_store_sk, ss_item_sk) sa - group by ss_store_sk) sb, - (select ss_store_sk, ss_item_sk, sum(ss_sales_price) as revenue - from store_sales, date_dim - where ss_sold_date_sk = d_date_sk and d_month_seq between 1212 and 1212+11 - group by ss_store_sk, ss_item_sk) sc - where sb.ss_store_sk = sc.ss_store_sk and - sc.revenue <= 0.1 * sb.ave and - s_store_sk = sc.ss_store_sk and - i_item_sk = sc.ss_item_sk - order by s_store_name, i_item_desc -limit 100; +SELECT s_store_name, + i_item_desc, + sc.revenue, + i_current_price, + i_wholesale_cost, + i_brand +FROM store, + item, + + (SELECT ss_store_sk, + avg(revenue) AS ave + FROM + (SELECT ss_store_sk, + ss_item_sk, + sum(ss_sales_price) AS revenue + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1212 AND 1212+11 + GROUP BY ss_store_sk, + ss_item_sk) sa + GROUP BY ss_store_sk) sb, + + (SELECT ss_store_sk, + ss_item_sk, + sum(ss_sales_price) AS revenue + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1212 AND 1212+11 + GROUP BY ss_store_sk, + ss_item_sk) sc +WHERE sb.ss_store_sk = sc.ss_store_sk + AND sc.revenue <= 0.1 * sb.ave + AND s_store_sk = sc.ss_store_sk + AND i_item_sk = sc.ss_item_sk +ORDER BY s_store_name, + i_item_desc +LIMIT 100; diff --git a/TPC-DS/queries/query66.sql b/TPC-DS/queries/query66.sql index f30c7a08bfd019efca6746ac7baef0bb1446d68d..ddd2b09a2c8636bf23016bf92eecb6b8d8c57c6f 100644 --- a/TPC-DS/queries/query66.sql +++ b/TPC-DS/queries/query66.sql @@ -1,217 +1,303 @@ -select - w_warehouse_name - ,w_warehouse_sq_ft - ,w_city - ,w_county - ,w_state - ,w_country - ,ship_carriers - ,year - ,sum(jan_sales) as jan_sales - ,sum(feb_sales) as feb_sales - ,sum(mar_sales) as mar_sales - ,sum(apr_sales) as apr_sales - ,sum(may_sales) as may_sales - ,sum(jun_sales) as jun_sales - ,sum(jul_sales) as jul_sales - ,sum(aug_sales) as aug_sales - ,sum(sep_sales) as sep_sales - ,sum(oct_sales) as oct_sales - ,sum(nov_sales) as nov_sales - ,sum(dec_sales) as dec_sales - ,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot - ,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot - ,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot - ,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot - ,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot - ,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot - ,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot - ,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot - ,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot - ,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot - ,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot - ,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot - ,sum(jan_net) as jan_net - ,sum(feb_net) as feb_net - ,sum(mar_net) as mar_net - ,sum(apr_net) as apr_net - ,sum(may_net) as may_net - ,sum(jun_net) as jun_net - ,sum(jul_net) as jul_net - ,sum(aug_net) as aug_net - ,sum(sep_net) as sep_net - ,sum(oct_net) as oct_net - ,sum(nov_net) as nov_net - ,sum(dec_net) as dec_net - from ( - select - w_warehouse_name - ,w_warehouse_sq_ft - ,w_city - ,w_county - ,w_state - ,w_country - ,'DIAMOND' || ',' || 'AIRBORNE' as ship_carriers - ,d_year as year - ,sum(case when d_moy = 1 - then ws_sales_price* ws_quantity else 0 end) as jan_sales - ,sum(case when d_moy = 2 - then ws_sales_price* ws_quantity else 0 end) as feb_sales - ,sum(case when d_moy = 3 - then ws_sales_price* ws_quantity else 0 end) as mar_sales - ,sum(case when d_moy = 4 - then ws_sales_price* ws_quantity else 0 end) as apr_sales - ,sum(case when d_moy = 5 - then ws_sales_price* ws_quantity else 0 end) as may_sales - ,sum(case when d_moy = 6 - then ws_sales_price* ws_quantity else 0 end) as jun_sales - ,sum(case when d_moy = 7 - then ws_sales_price* ws_quantity else 0 end) as jul_sales - ,sum(case when d_moy = 8 - then ws_sales_price* ws_quantity else 0 end) as aug_sales - ,sum(case when d_moy = 9 - then ws_sales_price* ws_quantity else 0 end) as sep_sales - ,sum(case when d_moy = 10 - then ws_sales_price* ws_quantity else 0 end) as oct_sales - ,sum(case when d_moy = 11 - then ws_sales_price* ws_quantity else 0 end) as nov_sales - ,sum(case when d_moy = 12 - then ws_sales_price* ws_quantity else 0 end) as dec_sales - ,sum(case when d_moy = 1 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as jan_net - ,sum(case when d_moy = 2 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as feb_net - ,sum(case when d_moy = 3 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as mar_net - ,sum(case when d_moy = 4 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as apr_net - ,sum(case when d_moy = 5 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as may_net - ,sum(case when d_moy = 6 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as jun_net - ,sum(case when d_moy = 7 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as jul_net - ,sum(case when d_moy = 8 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as aug_net - ,sum(case when d_moy = 9 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as sep_net - ,sum(case when d_moy = 10 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as oct_net - ,sum(case when d_moy = 11 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as nov_net - ,sum(case when d_moy = 12 - then ws_net_paid_inc_tax * ws_quantity else 0 end) as dec_net - from - web_sales - ,warehouse - ,date_dim - ,time_dim - ,ship_mode - where - ws_warehouse_sk = w_warehouse_sk - and ws_sold_date_sk = d_date_sk - and ws_sold_time_sk = t_time_sk - and ws_ship_mode_sk = sm_ship_mode_sk - and d_year = 2002 - and t_time between 49530 and 49530+28800 - and sm_carrier in ('DIAMOND','AIRBORNE') - group by - w_warehouse_name - ,w_warehouse_sq_ft - ,w_city - ,w_county - ,w_state - ,w_country - ,d_year - union all - select - w_warehouse_name - ,w_warehouse_sq_ft - ,w_city - ,w_county - ,w_state - ,w_country - ,'DIAMOND' || ',' || 'AIRBORNE' as ship_carriers - ,d_year as year - ,sum(case when d_moy = 1 - then cs_ext_sales_price* cs_quantity else 0 end) as jan_sales - ,sum(case when d_moy = 2 - then cs_ext_sales_price* cs_quantity else 0 end) as feb_sales - ,sum(case when d_moy = 3 - then cs_ext_sales_price* cs_quantity else 0 end) as mar_sales - ,sum(case when d_moy = 4 - then cs_ext_sales_price* cs_quantity else 0 end) as apr_sales - ,sum(case when d_moy = 5 - then cs_ext_sales_price* cs_quantity else 0 end) as may_sales - ,sum(case when d_moy = 6 - then cs_ext_sales_price* cs_quantity else 0 end) as jun_sales - ,sum(case when d_moy = 7 - then cs_ext_sales_price* cs_quantity else 0 end) as jul_sales - ,sum(case when d_moy = 8 - then cs_ext_sales_price* cs_quantity else 0 end) as aug_sales - ,sum(case when d_moy = 9 - then cs_ext_sales_price* cs_quantity else 0 end) as sep_sales - ,sum(case when d_moy = 10 - then cs_ext_sales_price* cs_quantity else 0 end) as oct_sales - ,sum(case when d_moy = 11 - then cs_ext_sales_price* cs_quantity else 0 end) as nov_sales - ,sum(case when d_moy = 12 - then cs_ext_sales_price* cs_quantity else 0 end) as dec_sales - ,sum(case when d_moy = 1 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jan_net - ,sum(case when d_moy = 2 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as feb_net - ,sum(case when d_moy = 3 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as mar_net - ,sum(case when d_moy = 4 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as apr_net - ,sum(case when d_moy = 5 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as may_net - ,sum(case when d_moy = 6 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jun_net - ,sum(case when d_moy = 7 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as jul_net - ,sum(case when d_moy = 8 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as aug_net - ,sum(case when d_moy = 9 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as sep_net - ,sum(case when d_moy = 10 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as oct_net - ,sum(case when d_moy = 11 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as nov_net - ,sum(case when d_moy = 12 - then cs_net_paid_inc_ship_tax * cs_quantity else 0 end) as dec_net - from - catalog_sales - ,warehouse - ,date_dim - ,time_dim - ,ship_mode - where - cs_warehouse_sk = w_warehouse_sk - and cs_sold_date_sk = d_date_sk - and cs_sold_time_sk = t_time_sk - and cs_ship_mode_sk = sm_ship_mode_sk - and d_year = 2002 - and t_time between 49530 AND 49530+28800 - and sm_carrier in ('DIAMOND','AIRBORNE') - group by - w_warehouse_name - ,w_warehouse_sq_ft - ,w_city - ,w_county - ,w_state - ,w_country - ,d_year - ) x - group by - w_warehouse_name - ,w_warehouse_sq_ft - ,w_city - ,w_county - ,w_state - ,w_country - ,ship_carriers - ,year - order by w_warehouse_name - limit 100; +SELECT w_warehouse_name , + w_warehouse_sq_ft , + w_city , + w_county , + w_state , + w_country , + ship_carriers , + YEAR , + sum(jan_sales) AS jan_sales , + sum(feb_sales) AS feb_sales , + sum(mar_sales) AS mar_sales , + sum(apr_sales) AS apr_sales , + sum(may_sales) AS may_sales , + sum(jun_sales) AS jun_sales , + sum(jul_sales) AS jul_sales , + sum(aug_sales) AS aug_sales , + sum(sep_sales) AS sep_sales , + sum(oct_sales) AS oct_sales , + sum(nov_sales) AS nov_sales , + sum(dec_sales) AS dec_sales , + sum(jan_sales/w_warehouse_sq_ft) AS jan_sales_per_sq_foot , + sum(feb_sales/w_warehouse_sq_ft) AS feb_sales_per_sq_foot , + sum(mar_sales/w_warehouse_sq_ft) AS mar_sales_per_sq_foot , + sum(apr_sales/w_warehouse_sq_ft) AS apr_sales_per_sq_foot , + sum(may_sales/w_warehouse_sq_ft) AS may_sales_per_sq_foot , + sum(jun_sales/w_warehouse_sq_ft) AS jun_sales_per_sq_foot , + sum(jul_sales/w_warehouse_sq_ft) AS jul_sales_per_sq_foot , + sum(aug_sales/w_warehouse_sq_ft) AS aug_sales_per_sq_foot , + sum(sep_sales/w_warehouse_sq_ft) AS sep_sales_per_sq_foot , + sum(oct_sales/w_warehouse_sq_ft) AS oct_sales_per_sq_foot , + sum(nov_sales/w_warehouse_sq_ft) AS nov_sales_per_sq_foot , + sum(dec_sales/w_warehouse_sq_ft) AS dec_sales_per_sq_foot , + sum(jan_net) AS jan_net , + sum(feb_net) AS feb_net , + sum(mar_net) AS mar_net , + sum(apr_net) AS apr_net , + sum(may_net) AS may_net , + sum(jun_net) AS jun_net , + sum(jul_net) AS jul_net , + sum(aug_net) AS aug_net , + sum(sep_net) AS sep_net , + sum(oct_net) AS oct_net , + sum(nov_net) AS nov_net , + sum(dec_net) AS dec_net +FROM + (SELECT w_warehouse_name , + w_warehouse_sq_ft , + w_city , + w_county , + w_state , + w_country , + 'DIAMOND' || ',' || 'AIRBORNE' AS ship_carriers , + d_year AS YEAR , + sum(CASE + WHEN d_moy = 1 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS jan_sales , + sum(CASE + WHEN d_moy = 2 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS feb_sales , + sum(CASE + WHEN d_moy = 3 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS mar_sales , + sum(CASE + WHEN d_moy = 4 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS apr_sales , + sum(CASE + WHEN d_moy = 5 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS may_sales , + sum(CASE + WHEN d_moy = 6 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS jun_sales , + sum(CASE + WHEN d_moy = 7 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS jul_sales , + sum(CASE + WHEN d_moy = 8 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS aug_sales , + sum(CASE + WHEN d_moy = 9 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS sep_sales , + sum(CASE + WHEN d_moy = 10 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS oct_sales , + sum(CASE + WHEN d_moy = 11 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS nov_sales , + sum(CASE + WHEN d_moy = 12 THEN ws_sales_price* ws_quantity + ELSE 0 + END) AS dec_sales , + sum(CASE + WHEN d_moy = 1 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS jan_net , + sum(CASE + WHEN d_moy = 2 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS feb_net , + sum(CASE + WHEN d_moy = 3 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS mar_net , + sum(CASE + WHEN d_moy = 4 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS apr_net , + sum(CASE + WHEN d_moy = 5 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS may_net , + sum(CASE + WHEN d_moy = 6 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS jun_net , + sum(CASE + WHEN d_moy = 7 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS jul_net , + sum(CASE + WHEN d_moy = 8 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS aug_net , + sum(CASE + WHEN d_moy = 9 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS sep_net , + sum(CASE + WHEN d_moy = 10 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS oct_net , + sum(CASE + WHEN d_moy = 11 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS nov_net , + sum(CASE + WHEN d_moy = 12 THEN ws_net_paid_inc_tax * ws_quantity + ELSE 0 + END) AS dec_net + FROM web_sales , + warehouse , + date_dim , + time_dim , + ship_mode + WHERE ws_warehouse_sk = w_warehouse_sk + AND ws_sold_date_sk = d_date_sk + AND ws_sold_time_sk = t_time_sk + AND ws_ship_mode_sk = sm_ship_mode_sk + AND d_year = 2002 + AND t_time BETWEEN 49530 AND 49530+28800 + AND sm_carrier IN ('DIAMOND', + 'AIRBORNE') + GROUP BY w_warehouse_name , + w_warehouse_sq_ft , + w_city , + w_county , + w_state , + w_country , + d_year + UNION ALL SELECT w_warehouse_name , + w_warehouse_sq_ft , + w_city , + w_county , + w_state , + w_country , + 'DIAMOND' || ',' || 'AIRBORNE' AS ship_carriers , + d_year AS YEAR , + sum(CASE + WHEN d_moy = 1 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS jan_sales , + sum(CASE + WHEN d_moy = 2 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS feb_sales , + sum(CASE + WHEN d_moy = 3 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS mar_sales , + sum(CASE + WHEN d_moy = 4 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS apr_sales , + sum(CASE + WHEN d_moy = 5 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS may_sales , + sum(CASE + WHEN d_moy = 6 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS jun_sales , + sum(CASE + WHEN d_moy = 7 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS jul_sales , + sum(CASE + WHEN d_moy = 8 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS aug_sales , + sum(CASE + WHEN d_moy = 9 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS sep_sales , + sum(CASE + WHEN d_moy = 10 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS oct_sales , + sum(CASE + WHEN d_moy = 11 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS nov_sales , + sum(CASE + WHEN d_moy = 12 THEN cs_ext_sales_price* cs_quantity + ELSE 0 + END) AS dec_sales , + sum(CASE + WHEN d_moy = 1 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS jan_net , + sum(CASE + WHEN d_moy = 2 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS feb_net , + sum(CASE + WHEN d_moy = 3 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS mar_net , + sum(CASE + WHEN d_moy = 4 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS apr_net , + sum(CASE + WHEN d_moy = 5 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS may_net , + sum(CASE + WHEN d_moy = 6 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS jun_net , + sum(CASE + WHEN d_moy = 7 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS jul_net , + sum(CASE + WHEN d_moy = 8 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS aug_net , + sum(CASE + WHEN d_moy = 9 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS sep_net , + sum(CASE + WHEN d_moy = 10 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS oct_net , + sum(CASE + WHEN d_moy = 11 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS nov_net , + sum(CASE + WHEN d_moy = 12 THEN cs_net_paid_inc_ship_tax * cs_quantity + ELSE 0 + END) AS dec_net + FROM catalog_sales , + warehouse , + date_dim , + time_dim , + ship_mode + WHERE cs_warehouse_sk = w_warehouse_sk + AND cs_sold_date_sk = d_date_sk + AND cs_sold_time_sk = t_time_sk + AND cs_ship_mode_sk = sm_ship_mode_sk + AND d_year = 2002 + AND t_time BETWEEN 49530 AND 49530+28800 + AND sm_carrier IN ('DIAMOND', + 'AIRBORNE') + GROUP BY w_warehouse_name , + w_warehouse_sq_ft , + w_city , + w_county , + w_state , + w_country , + d_year) x +GROUP BY w_warehouse_name , + w_warehouse_sq_ft , + w_city , + w_county , + w_state , + w_country , + ship_carriers , + YEAR +ORDER BY w_warehouse_name +LIMIT 100; diff --git a/TPC-DS/queries/query67.sql b/TPC-DS/queries/query67.sql index d676956535f59bd0d79855edfa024517904a56a1..510779ec4d6dd45d5d387aa4539b01829d5704bd 100644 --- a/TPC-DS/queries/query67.sql +++ b/TPC-DS/queries/query67.sql @@ -1,41 +1,44 @@ -select * -from (select i_category - ,i_class - ,i_brand - ,i_product_name - ,d_year - ,d_qoy - ,d_moy - ,s_store_id - ,sumsales - ,rank() over (partition by i_category order by sumsales desc) rk - from (select i_category - ,i_class - ,i_brand - ,i_product_name - ,d_year - ,d_qoy - ,d_moy - ,s_store_id - ,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales - from store_sales - ,date_dim - ,store - ,item - where ss_sold_date_sk=d_date_sk - and ss_item_sk=i_item_sk - and ss_store_sk = s_store_sk - and d_month_seq between 1212 and 1212+11 - group by rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2 -where rk <= 100 -order by i_category - ,i_class - ,i_brand - ,i_product_name - ,d_year - ,d_qoy - ,d_moy - ,s_store_id - ,sumsales - ,rk -limit 100; +SELECT * +FROM + (SELECT i_category , + i_class , + i_brand , + i_product_name , + d_year , + d_qoy , + d_moy , + s_store_id , + sumsales , + rank() OVER (PARTITION BY i_category + ORDER BY sumsales DESC) rk + FROM + (SELECT i_category , + i_class , + i_brand , + i_product_name , + d_year , + d_qoy , + d_moy , + s_store_id , + sum(coalesce(ss_sales_price*ss_quantity, 0)) sumsales + FROM store_sales , + date_dim , + store , + item + WHERE ss_sold_date_sk=d_date_sk + AND ss_item_sk=i_item_sk + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1212 AND 1212+11 + GROUP BY rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy, s_store_id))dw1) dw2 +WHERE rk <= 100 +ORDER BY i_category , + i_class , + i_brand , + i_product_name , + d_year , + d_qoy , + d_moy , + s_store_id , + sumsales , + rk +LIMIT 100; diff --git a/TPC-DS/queries/query68.sql b/TPC-DS/queries/query68.sql index ebf9801b13ddc57cae68fde3f356aef830518d2c..098e575fb67247c03234a333d0e3d2e53bd94829 100644 --- a/TPC-DS/queries/query68.sql +++ b/TPC-DS/queries/query68.sql @@ -1,39 +1,44 @@ -select c_last_name - ,c_first_name - ,ca_city - ,bought_city - ,ss_ticket_number - ,extended_price - ,extended_tax - ,list_price - from (select ss_ticket_number - ,ss_customer_sk - ,ca_city bought_city - ,sum(ss_ext_sales_price) extended_price - ,sum(ss_ext_list_price) list_price - ,sum(ss_ext_tax) extended_tax - from store_sales - ,date_dim - ,store - ,household_demographics - ,customer_address - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_store_sk = store.s_store_sk - and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk - and store_sales.ss_addr_sk = customer_address.ca_address_sk - and date_dim.d_dom between 1 and 2 - and (household_demographics.hd_dep_count = 5 or - household_demographics.hd_vehicle_count= 3) - and date_dim.d_year in (1999,1999+1,1999+2) - and store.s_city in ('Midway','Fairview') - group by ss_ticket_number - ,ss_customer_sk - ,ss_addr_sk,ca_city) dn - ,customer - ,customer_address current_addr - where ss_customer_sk = c_customer_sk - and customer.c_current_addr_sk = current_addr.ca_address_sk - and current_addr.ca_city <> bought_city - order by c_last_name - ,ss_ticket_number - limit 100; +SELECT c_last_name , + c_first_name , + ca_city , + bought_city , + ss_ticket_number , + extended_price , + extended_tax , + list_price +FROM + (SELECT ss_ticket_number , + ss_customer_sk , + ca_city bought_city , + sum(ss_ext_sales_price) extended_price , + sum(ss_ext_list_price) list_price , + sum(ss_ext_tax) extended_tax + FROM store_sales , + date_dim , + store , + household_demographics , + customer_address + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND store_sales.ss_addr_sk = customer_address.ca_address_sk + AND date_dim.d_dom BETWEEN 1 AND 2 + AND (household_demographics.hd_dep_count = 5 + OR household_demographics.hd_vehicle_count= 3) + AND date_dim.d_year IN (1999, + 1999+1, + 1999+2) + AND store.s_city IN ('Midway', + 'Fairview') + GROUP BY ss_ticket_number , + ss_customer_sk , + ss_addr_sk, + ca_city) dn , + customer , + customer_address current_addr +WHERE ss_customer_sk = c_customer_sk + AND customer.c_current_addr_sk = current_addr.ca_address_sk + AND current_addr.ca_city <> bought_city +ORDER BY c_last_name , + ss_ticket_number +LIMIT 100; diff --git a/TPC-DS/queries/query69.sql b/TPC-DS/queries/query69.sql index 8b200a1432821e329238dc132f9369b6429bf56f..2ddf8ac7c469df4c819a0c4dbd5d56e0925a2d9c 100644 --- a/TPC-DS/queries/query69.sql +++ b/TPC-DS/queries/query69.sql @@ -1,44 +1,51 @@ -select - cd_gender, - cd_marital_status, - cd_education_status, - count(*) cnt1, - cd_purchase_estimate, - count(*) cnt2, - cd_credit_rating, - count(*) cnt3 - from - customer c,customer_address ca,customer_demographics - where - c.c_current_addr_sk = ca.ca_address_sk and - ca_state in ('CO','IL','MN') and - cd_demo_sk = c.c_current_cdemo_sk and - exists (select * - from store_sales,date_dim - where c.c_customer_sk = ss_customer_sk and - ss_sold_date_sk = d_date_sk and - d_year = 1999 and - d_moy between 1 and 1+2) and - (not exists (select * - from web_sales,date_dim - where c.c_customer_sk = ws_bill_customer_sk and - ws_sold_date_sk = d_date_sk and - d_year = 1999 and - d_moy between 1 and 1+2) and - not exists (select * - from catalog_sales,date_dim - where c.c_customer_sk = cs_ship_customer_sk and - cs_sold_date_sk = d_date_sk and - d_year = 1999 and - d_moy between 1 and 1+2)) - group by cd_gender, - cd_marital_status, - cd_education_status, - cd_purchase_estimate, - cd_credit_rating - order by cd_gender, - cd_marital_status, - cd_education_status, - cd_purchase_estimate, - cd_credit_rating - limit 100; +SELECT cd_gender, + cd_marital_status, + cd_education_status, + count(*) cnt1, + cd_purchase_estimate, + count(*) cnt2, + cd_credit_rating, + count(*) cnt3 +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND ca_state IN ('CO', + 'IL', + 'MN') + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS + (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy BETWEEN 1 AND 1+2) + AND (NOT EXISTS + (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy BETWEEN 1 AND 1+2) + AND NOT EXISTS + (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy BETWEEN 1 AND 1+2)) +GROUP BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating +ORDER BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating +LIMIT 100; diff --git a/TPC-DS/queries/query7.sql b/TPC-DS/queries/query7.sql index af4f0a2be83f59c137759b04c92a259821186cc6..aae0a673ce88da30e0b99b8711f19c60eb5ce3f2 100644 --- a/TPC-DS/queries/query7.sql +++ b/TPC-DS/queries/query7.sql @@ -1,18 +1,23 @@ -select i_item_id, - avg(ss_quantity) agg1, - avg(ss_list_price) agg2, - avg(ss_coupon_amt) agg3, - avg(ss_sales_price) agg4 - from store_sales, customer_demographics, date_dim, item, promotion - where ss_sold_date_sk = d_date_sk and - ss_item_sk = i_item_sk and - ss_cdemo_sk = cd_demo_sk and - ss_promo_sk = p_promo_sk and - cd_gender = 'F' and - cd_marital_status = 'W' and - cd_education_status = 'Primary' and - (p_channel_email = 'N' or p_channel_event = 'N') and - d_year = 1998 - group by i_item_id - order by i_item_id - limit 100; +SELECT i_item_id, + avg(ss_quantity) agg1, + avg(ss_list_price) agg2, + avg(ss_coupon_amt) agg3, + avg(ss_sales_price) agg4 +FROM store_sales, + customer_demographics, + date_dim, + item, + promotion +WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND ss_cdemo_sk = cd_demo_sk + AND ss_promo_sk = p_promo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = 'Primary' + AND (p_channel_email = 'N' + OR p_channel_event = 'N') + AND d_year = 1998 +GROUP BY i_item_id +ORDER BY i_item_id +LIMIT 100; diff --git a/TPC-DS/queries/query70.sql b/TPC-DS/queries/query70.sql index 85bd6007010ca47e8561a38c9e1cdd231f8b330a..353b3c410a1ba5e954399dbf43eece8e39d48689 100644 --- a/TPC-DS/queries/query70.sql +++ b/TPC-DS/queries/query70.sql @@ -1,35 +1,35 @@ -select - sum(ss_net_profit) as total_sum - ,s_state - ,s_county - ,grouping(s_state)+grouping(s_county) as lochierarchy - ,rank() over ( - partition by grouping(s_state)+grouping(s_county), - case when grouping(s_county) = 0 then s_state end - order by sum(ss_net_profit) desc) as rank_within_parent - from - store_sales - ,date_dim d1 - ,store - where - d1.d_month_seq between 1212 and 1212+11 - and d1.d_date_sk = ss_sold_date_sk - and s_store_sk = ss_store_sk - and s_state in - ( select s_state - from (select s_state as s_state, - rank() over ( partition by s_state order by sum(ss_net_profit) desc) as ranking - from store_sales, store, date_dim - where d_month_seq between 1212 and 1212+11 - and d_date_sk = ss_sold_date_sk - and s_store_sk = ss_store_sk - group by s_state - ) tmp1 - where ranking <= 5 - ) - group by rollup(s_state,s_county) - order by - lochierarchy desc - ,case when lochierarchy = 0 then s_state end - ,rank_within_parent - limit 100; +SELECT sum(ss_net_profit) AS total_sum , + s_state , + s_county , + grouping(s_state)+grouping(s_county) AS lochierarchy , + rank() OVER (PARTITION BY grouping(s_state)+grouping(s_county), CASE + WHEN grouping(s_county) = 0 THEN s_state + END + ORDER BY sum(ss_net_profit) DESC) AS rank_within_parent +FROM store_sales , + date_dim d1 , + store +WHERE d1.d_month_seq BETWEEN 1212 AND 1212+11 + AND d1.d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + AND s_state IN + (SELECT s_state + FROM + (SELECT s_state AS s_state, + rank() OVER (PARTITION BY s_state + ORDER BY sum(ss_net_profit) DESC) AS ranking + FROM store_sales, + store, + date_dim + WHERE d_month_seq BETWEEN 1212 AND 1212+11 + AND d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + GROUP BY s_state) tmp1 + WHERE ranking <= 5) +GROUP BY rollup(s_state, s_county) +ORDER BY lochierarchy DESC , + CASE + WHEN lochierarchy = 0 THEN s_state + END , + rank_within_parent +LIMIT 100; diff --git a/TPC-DS/queries/query71.sql b/TPC-DS/queries/query71.sql index 040ba7278e98f644d33b7f0efe7b4368f018ed50..29e2b7fc5265db5858b8d58704dbf9862cec8c88 100644 --- a/TPC-DS/queries/query71.sql +++ b/TPC-DS/queries/query71.sql @@ -1,37 +1,46 @@ -select i_brand_id brand_id, i_brand brand,t_hour,t_minute, - sum(ext_price) ext_price - from item, (select ws_ext_sales_price as ext_price, - ws_sold_date_sk as sold_date_sk, - ws_item_sk as sold_item_sk, - ws_sold_time_sk as time_sk - from web_sales,date_dim - where d_date_sk = ws_sold_date_sk - and d_moy=12 - and d_year=2000 - union all - select cs_ext_sales_price as ext_price, - cs_sold_date_sk as sold_date_sk, - cs_item_sk as sold_item_sk, - cs_sold_time_sk as time_sk - from catalog_sales,date_dim - where d_date_sk = cs_sold_date_sk - and d_moy=12 - and d_year=2000 - union all - select ss_ext_sales_price as ext_price, - ss_sold_date_sk as sold_date_sk, - ss_item_sk as sold_item_sk, - ss_sold_time_sk as time_sk - from store_sales,date_dim - where d_date_sk = ss_sold_date_sk - and d_moy=12 - and d_year=2000 - ) tmp,time_dim - where - sold_item_sk = i_item_sk - and i_manager_id=1 - and time_sk = t_time_sk - and (t_meal_time = 'breakfast' or t_meal_time = 'dinner') - group by i_brand, i_brand_id,t_hour,t_minute - order by ext_price desc, i_brand_id - ; +SELECT i_brand_id brand_id, + i_brand brand, + t_hour, + t_minute, + sum(ext_price) ext_price +FROM item, + + (SELECT ws_ext_sales_price AS ext_price, + ws_sold_date_sk AS sold_date_sk, + ws_item_sk AS sold_item_sk, + ws_sold_time_sk AS time_sk + FROM web_sales, + date_dim + WHERE d_date_sk = ws_sold_date_sk + AND d_moy=12 + AND d_year=2000 + UNION ALL SELECT cs_ext_sales_price AS ext_price, + cs_sold_date_sk AS sold_date_sk, + cs_item_sk AS sold_item_sk, + cs_sold_time_sk AS time_sk + FROM catalog_sales, + date_dim + WHERE d_date_sk = cs_sold_date_sk + AND d_moy=12 + AND d_year=2000 + UNION ALL SELECT ss_ext_sales_price AS ext_price, + ss_sold_date_sk AS sold_date_sk, + ss_item_sk AS sold_item_sk, + ss_sold_time_sk AS time_sk + FROM store_sales, + date_dim + WHERE d_date_sk = ss_sold_date_sk + AND d_moy=12 + AND d_year=2000) tmp, + time_dim +WHERE sold_item_sk = i_item_sk + AND i_manager_id=1 + AND time_sk = t_time_sk + AND (t_meal_time = 'breakfast' + OR t_meal_time = 'dinner') +GROUP BY i_brand, + i_brand_id, + t_hour, + t_minute +ORDER BY ext_price DESC, + i_brand_id ; diff --git a/TPC-DS/queries/query72.sql b/TPC-DS/queries/query72.sql index ae1a2ad7ae6b3dde3e64a7e1c20a49bfbe4f8908..60b215f04c62bce1b406893671c228d516013733 100644 --- a/TPC-DS/queries/query72.sql +++ b/TPC-DS/queries/query72.sql @@ -1,26 +1,38 @@ -select i_item_desc - ,w_warehouse_name - ,d1.d_week_seq - ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo - ,sum(case when p_promo_sk is not null then 1 else 0 end) promo - ,count(*) total_cnt -from catalog_sales -join inventory on (cs_item_sk = inv_item_sk) -join warehouse on (w_warehouse_sk=inv_warehouse_sk) -join item on (i_item_sk = cs_item_sk) -join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk) -join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk) -join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk) -join date_dim d2 on (inv_date_sk = d2.d_date_sk) -join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk) -left outer join promotion on (cs_promo_sk=p_promo_sk) -left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number) -where d1.d_week_seq = d2.d_week_seq - and inv_quantity_on_hand < cs_quantity - and d3.d_date > d1.d_date + 5 - and hd_buy_potential = '1001-5000' - and d1.d_year = 2001 - and cd_marital_status = 'M' -group by i_item_desc,w_warehouse_name,d1.d_week_seq -order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq -limit 100; +SELECT i_item_desc , + w_warehouse_name , + d1.d_week_seq , + sum(CASE + WHEN p_promo_sk IS NULL THEN 1 + ELSE 0 + END) no_promo , + sum(CASE + WHEN p_promo_sk IS NOT NULL THEN 1 + ELSE 0 + END) promo , + count(*) total_cnt +FROM catalog_sales +JOIN inventory ON (cs_item_sk = inv_item_sk) +JOIN warehouse ON (w_warehouse_sk=inv_warehouse_sk) +JOIN item ON (i_item_sk = cs_item_sk) +JOIN customer_demographics ON (cs_bill_cdemo_sk = cd_demo_sk) +JOIN household_demographics ON (cs_bill_hdemo_sk = hd_demo_sk) +JOIN date_dim d1 ON (cs_sold_date_sk = d1.d_date_sk) +JOIN date_dim d2 ON (inv_date_sk = d2.d_date_sk) +JOIN date_dim d3 ON (cs_ship_date_sk = d3.d_date_sk) +LEFT OUTER JOIN promotion ON (cs_promo_sk=p_promo_sk) +LEFT OUTER JOIN catalog_returns ON (cr_item_sk = cs_item_sk + AND cr_order_number = cs_order_number) +WHERE d1.d_week_seq = d2.d_week_seq + AND inv_quantity_on_hand < cs_quantity + AND d3.d_date > d1.d_date + 5 + AND hd_buy_potential = '1001-5000' + AND d1.d_year = 2001 + AND cd_marital_status = 'M' +GROUP BY i_item_desc, + w_warehouse_name, + d1.d_week_seq +ORDER BY total_cnt DESC, + i_item_desc, + w_warehouse_name, + d_week_seq +LIMIT 100; diff --git a/TPC-DS/queries/query73.sql b/TPC-DS/queries/query73.sql index 38ad26c00f542ad55bb600b3db727a31baa4f4c5..ac5df313ac3875ee1eab57b5ee4cfab97ca84a81 100644 --- a/TPC-DS/queries/query73.sql +++ b/TPC-DS/queries/query73.sql @@ -1,25 +1,39 @@ -select c_last_name - ,c_first_name - ,c_salutation - ,c_preferred_cust_flag - ,ss_ticket_number - ,cnt from - (select ss_ticket_number - ,ss_customer_sk - ,count(*) cnt - from store_sales,date_dim,store,household_demographics - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_store_sk = store.s_store_sk - and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk - and date_dim.d_dom between 1 and 2 - and (household_demographics.hd_buy_potential = '>10000' or - household_demographics.hd_buy_potential = 'Unknown') - and household_demographics.hd_vehicle_count > 0 - and case when household_demographics.hd_vehicle_count > 0 then - household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1 - and date_dim.d_year in (1998,1998+1,1998+2) - and store.s_county in ('Williamson County','Williamson County','Williamson County','Williamson County') - group by ss_ticket_number,ss_customer_sk) dj,customer - where ss_customer_sk = c_customer_sk - and cnt between 1 and 5 - order by cnt desc, c_last_name asc; +SELECT c_last_name , + c_first_name , + c_salutation , + c_preferred_cust_flag , + ss_ticket_number , + cnt +FROM + (SELECT ss_ticket_number , + ss_customer_sk , + count(*) cnt + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND date_dim.d_dom BETWEEN 1 AND 2 + AND (household_demographics.hd_buy_potential = '>10000' + OR household_demographics.hd_buy_potential = 'Unknown') + AND household_demographics.hd_vehicle_count > 0 + AND CASE + WHEN household_demographics.hd_vehicle_count > 0 THEN household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count + ELSE NULL + END > 1 + AND date_dim.d_year IN (1998, + 1998+1, + 1998+2) + AND store.s_county IN ('Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County') + GROUP BY ss_ticket_number, + ss_customer_sk) dj, + customer +WHERE ss_customer_sk = c_customer_sk + AND cnt BETWEEN 1 AND 5 +ORDER BY cnt DESC, + c_last_name ASC; diff --git a/TPC-DS/queries/query74.sql b/TPC-DS/queries/query74.sql index 07da952d50fd6654f1607660acdc707eb536fbdc..5012df5b0ad43d9f82fd6c43dc832f3f592dac85 100644 --- a/TPC-DS/queries/query74.sql +++ b/TPC-DS/queries/query74.sql @@ -1,58 +1,66 @@ -with year_total as ( - select c_customer_id customer_id - ,c_first_name customer_first_name - ,c_last_name customer_last_name - ,d_year as year - ,max(ss_net_paid) year_total - ,'s' sale_type - from customer - ,store_sales - ,date_dim - where c_customer_sk = ss_customer_sk - and ss_sold_date_sk = d_date_sk - and d_year in (2001,2001+1) - group by c_customer_id - ,c_first_name - ,c_last_name - ,d_year - union all - select c_customer_id customer_id - ,c_first_name customer_first_name - ,c_last_name customer_last_name - ,d_year as year - ,max(ws_net_paid) year_total - ,'w' sale_type - from customer - ,web_sales - ,date_dim - where c_customer_sk = ws_bill_customer_sk - and ws_sold_date_sk = d_date_sk - and d_year in (2001,2001+1) - group by c_customer_id - ,c_first_name - ,c_last_name - ,d_year - ) - select - t_s_secyear.customer_id, t_s_secyear.customer_first_name, t_s_secyear.customer_last_name - from year_total t_s_firstyear - ,year_total t_s_secyear - ,year_total t_w_firstyear - ,year_total t_w_secyear - where t_s_secyear.customer_id = t_s_firstyear.customer_id - and t_s_firstyear.customer_id = t_w_secyear.customer_id - and t_s_firstyear.customer_id = t_w_firstyear.customer_id - and t_s_firstyear.sale_type = 's' - and t_w_firstyear.sale_type = 'w' - and t_s_secyear.sale_type = 's' - and t_w_secyear.sale_type = 'w' - and t_s_firstyear.year = 2001 - and t_s_secyear.year = 2001+1 - and t_w_firstyear.year = 2001 - and t_w_secyear.year = 2001+1 - and t_s_firstyear.year_total > 0 - and t_w_firstyear.year_total > 0 - and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end - > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end - order by 2,1,3 -limit 100; +WITH year_total AS + (SELECT c_customer_id customer_id , + c_first_name customer_first_name , + c_last_name customer_last_name , + d_year AS YEAR , + max(ss_net_paid) year_total , + 's' sale_type + FROM customer , + store_sales , + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN (2001, + 2001+1) + GROUP BY c_customer_id , + c_first_name , + c_last_name , + d_year + UNION ALL SELECT c_customer_id customer_id , + c_first_name customer_first_name , + c_last_name customer_last_name , + d_year AS YEAR , + max(ws_net_paid) year_total , + 'w' sale_type + FROM customer , + web_sales , + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year IN (2001, + 2001+1) + GROUP BY c_customer_id , + c_first_name , + c_last_name , + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name +FROM year_total t_s_firstyear , + year_total t_s_secyear , + year_total t_w_firstyear , + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.year = 2001 + AND t_s_secyear.year = 2001+1 + AND t_w_firstyear.year = 2001 + AND t_w_secyear.year = 2001+1 + AND t_s_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / t_w_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total + ELSE NULL + END +ORDER BY 2, + 1, + 3 +LIMIT 100; diff --git a/TPC-DS/queries/query75.sql b/TPC-DS/queries/query75.sql index cce4cf2c68394fa604f50bad39d2a066e95d6914..4dc1dd043546e7882314a48570ae8db731b5d8a3 100644 --- a/TPC-DS/queries/query75.sql +++ b/TPC-DS/queries/query75.sql @@ -1,67 +1,75 @@ -WITH all_sales AS ( - SELECT d_year - ,i_brand_id - ,i_class_id - ,i_category_id - ,i_manufact_id - ,SUM(sales_cnt) AS sales_cnt - ,SUM(sales_amt) AS sales_amt - FROM (SELECT d_year - ,i_brand_id - ,i_class_id - ,i_category_id - ,i_manufact_id - ,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt - ,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt - FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk - JOIN date_dim ON d_date_sk=cs_sold_date_sk - LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number - AND cs_item_sk=cr_item_sk) - WHERE i_category='Sports' - UNION - SELECT d_year - ,i_brand_id - ,i_class_id - ,i_category_id - ,i_manufact_id - ,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt - ,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt - FROM store_sales JOIN item ON i_item_sk=ss_item_sk - JOIN date_dim ON d_date_sk=ss_sold_date_sk - LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number - AND ss_item_sk=sr_item_sk) - WHERE i_category='Sports' - UNION - SELECT d_year - ,i_brand_id - ,i_class_id - ,i_category_id - ,i_manufact_id - ,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt - ,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt - FROM web_sales JOIN item ON i_item_sk=ws_item_sk - JOIN date_dim ON d_date_sk=ws_sold_date_sk - LEFT JOIN web_returns ON (ws_order_number=wr_order_number - AND ws_item_sk=wr_item_sk) - WHERE i_category='Sports') sales_detail - GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id) - SELECT prev_yr.d_year AS prev_year - ,curr_yr.d_year AS year - ,curr_yr.i_brand_id - ,curr_yr.i_class_id - ,curr_yr.i_category_id - ,curr_yr.i_manufact_id - ,prev_yr.sales_cnt AS prev_yr_cnt - ,curr_yr.sales_cnt AS curr_yr_cnt - ,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff - ,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff - FROM all_sales curr_yr, all_sales prev_yr - WHERE curr_yr.i_brand_id=prev_yr.i_brand_id - AND curr_yr.i_class_id=prev_yr.i_class_id - AND curr_yr.i_category_id=prev_yr.i_category_id - AND curr_yr.i_manufact_id=prev_yr.i_manufact_id - AND curr_yr.d_year=2002 - AND prev_yr.d_year=2002-1 - AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9 - ORDER BY sales_cnt_diff,sales_amt_diff - limit 100; +WITH all_sales AS + (SELECT d_year , + i_brand_id , + i_class_id , + i_category_id , + i_manufact_id , + SUM(sales_cnt) AS sales_cnt , + SUM(sales_amt) AS sales_amt + FROM + (SELECT d_year , + i_brand_id , + i_class_id , + i_category_id , + i_manufact_id , + cs_quantity - COALESCE(cr_return_quantity, 0) AS sales_cnt , + cs_ext_sales_price - COALESCE(cr_return_amount, 0.0) AS sales_amt + FROM catalog_sales + JOIN item ON i_item_sk=cs_item_sk + JOIN date_dim ON d_date_sk=cs_sold_date_sk + LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number + AND cs_item_sk=cr_item_sk) + WHERE i_category='Sports' + UNION SELECT d_year , + i_brand_id , + i_class_id , + i_category_id , + i_manufact_id , + ss_quantity - COALESCE(sr_return_quantity, 0) AS sales_cnt , + ss_ext_sales_price - COALESCE(sr_return_amt, 0.0) AS sales_amt + FROM store_sales + JOIN item ON i_item_sk=ss_item_sk + JOIN date_dim ON d_date_sk=ss_sold_date_sk + LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number + AND ss_item_sk=sr_item_sk) + WHERE i_category='Sports' + UNION SELECT d_year , + i_brand_id , + i_class_id , + i_category_id , + i_manufact_id , + ws_quantity - COALESCE(wr_return_quantity, 0) AS sales_cnt , + ws_ext_sales_price - COALESCE(wr_return_amt, 0.0) AS sales_amt + FROM web_sales + JOIN item ON i_item_sk=ws_item_sk + JOIN date_dim ON d_date_sk=ws_sold_date_sk + LEFT JOIN web_returns ON (ws_order_number=wr_order_number + AND ws_item_sk=wr_item_sk) + WHERE i_category='Sports') sales_detail + GROUP BY d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id) +SELECT prev_yr.d_year AS prev_year , + curr_yr.d_year AS YEAR , + curr_yr.i_brand_id , + curr_yr.i_class_id , + curr_yr.i_category_id , + curr_yr.i_manufact_id , + prev_yr.sales_cnt AS prev_yr_cnt , + curr_yr.sales_cnt AS curr_yr_cnt , + curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff , + curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff +FROM all_sales curr_yr, + all_sales prev_yr +WHERE curr_yr.i_brand_id=prev_yr.i_brand_id + AND curr_yr.i_class_id=prev_yr.i_class_id + AND curr_yr.i_category_id=prev_yr.i_category_id + AND curr_yr.i_manufact_id=prev_yr.i_manufact_id + AND curr_yr.d_year=2002 + AND prev_yr.d_year=2002-1 + AND CAST(curr_yr.sales_cnt AS DECIMAL(17, 2))/CAST(prev_yr.sales_cnt AS DECIMAL(17, 2))<0.9 +ORDER BY sales_cnt_diff, + sales_amt_diff +LIMIT 100; diff --git a/TPC-DS/queries/query76.sql b/TPC-DS/queries/query76.sql index 823feb9060243bd915d0e02e7299b006b043244f..9149153479dcd7a390822d6c17f3c2d8813736f9 100644 --- a/TPC-DS/queries/query76.sql +++ b/TPC-DS/queries/query76.sql @@ -1,21 +1,55 @@ -select channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM ( - SELECT 'store' as channel, 'ss_addr_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price - FROM store_sales, item, date_dim - WHERE ss_addr_sk IS NULL - AND ss_sold_date_sk=d_date_sk - AND ss_item_sk=i_item_sk - UNION ALL - SELECT 'web' as channel, 'ws_web_page_sk' col_name, d_year, d_qoy, i_category, ws_ext_sales_price ext_sales_price - FROM web_sales, item, date_dim - WHERE ws_web_page_sk IS NULL - AND ws_sold_date_sk=d_date_sk - AND ws_item_sk=i_item_sk - UNION ALL - SELECT 'catalog' as channel, 'cs_warehouse_sk' col_name, d_year, d_qoy, i_category, cs_ext_sales_price ext_sales_price - FROM catalog_sales, item, date_dim - WHERE cs_warehouse_sk IS NULL - AND cs_sold_date_sk=d_date_sk - AND cs_item_sk=i_item_sk) foo -GROUP BY channel, col_name, d_year, d_qoy, i_category -ORDER BY channel, col_name, d_year, d_qoy, i_category -limit 100; +SELECT channel, + col_name, + d_year, + d_qoy, + i_category, + COUNT(*) sales_cnt, + SUM(ext_sales_price) sales_amt +FROM + (SELECT 'store' AS channel, + 'ss_addr_sk' col_name, + d_year, + d_qoy, + i_category, + ss_ext_sales_price ext_sales_price + FROM store_sales, + item, + date_dim + WHERE ss_addr_sk IS NULL + AND ss_sold_date_sk=d_date_sk + AND ss_item_sk=i_item_sk + UNION ALL SELECT 'web' AS channel, + 'ws_web_page_sk' col_name, + d_year, + d_qoy, + i_category, + ws_ext_sales_price ext_sales_price + FROM web_sales, + item, + date_dim + WHERE ws_web_page_sk IS NULL + AND ws_sold_date_sk=d_date_sk + AND ws_item_sk=i_item_sk + UNION ALL SELECT 'catalog' AS channel, + 'cs_warehouse_sk' col_name, + d_year, + d_qoy, + i_category, + cs_ext_sales_price ext_sales_price + FROM catalog_sales, + item, + date_dim + WHERE cs_warehouse_sk IS NULL + AND cs_sold_date_sk=d_date_sk + AND cs_item_sk=i_item_sk) foo +GROUP BY channel, + col_name, + d_year, + d_qoy, + i_category +ORDER BY channel, + col_name, + d_year, + d_qoy, + i_category +LIMIT 100; diff --git a/TPC-DS/queries/query77.sql b/TPC-DS/queries/query77.sql index 57732b6e7e4c1028f1e2b4e4780b941f683d4ef6..aba90574b51891edebbecc2c2ab15de34461e168 100644 --- a/TPC-DS/queries/query77.sql +++ b/TPC-DS/queries/query77.sql @@ -1,105 +1,94 @@ -with ss as - (select s_store_sk, - sum(ss_ext_sales_price) as sales, - sum(ss_net_profit) as profit - from store_sales, - date_dim, - store - where ss_sold_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - and ss_store_sk = s_store_sk - group by s_store_sk) - , - sr as - (select s_store_sk, - sum(sr_return_amt) as returns, - sum(sr_net_loss) as profit_loss - from store_returns, - date_dim, - store - where sr_returned_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - and sr_store_sk = s_store_sk - group by s_store_sk), - cs as - (select cs_call_center_sk, - sum(cs_ext_sales_price) as sales, - sum(cs_net_profit) as profit - from catalog_sales, - date_dim - where cs_sold_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - group by cs_call_center_sk - ), - cr as - (select cr_call_center_sk, - sum(cr_return_amount) as returns, - sum(cr_net_loss) as profit_loss - from catalog_returns, - date_dim - where cr_returned_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - group by cr_call_center_sk - ), - ws as - ( select wp_web_page_sk, - sum(ws_ext_sales_price) as sales, - sum(ws_net_profit) as profit - from web_sales, - date_dim, - web_page - where ws_sold_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - and ws_web_page_sk = wp_web_page_sk - group by wp_web_page_sk), - wr as - (select wp_web_page_sk, - sum(wr_return_amt) as returns, - sum(wr_net_loss) as profit_loss - from web_returns, - date_dim, - web_page - where wr_returned_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - and wr_web_page_sk = wp_web_page_sk - group by wp_web_page_sk) - select channel - , id - , sum(sales) as sales - , sum(returns) as returns - , sum(profit) as profit - from - (select 'store channel' as channel - , ss.s_store_sk as id - , sales - , coalesce(returns, 0) as returns - , (profit - coalesce(profit_loss,0)) as profit - from ss left join sr - on ss.s_store_sk = sr.s_store_sk - union all - select 'catalog channel' as channel - , cs_call_center_sk as id - , sales - , returns - , (profit - profit_loss) as profit - from cs - , cr - union all - select 'web channel' as channel - , ws.wp_web_page_sk as id - , sales - , coalesce(returns, 0) returns - , (profit - coalesce(profit_loss,0)) as profit - from ws left join wr - on ws.wp_web_page_sk = wr.wp_web_page_sk - ) x - group by rollup (channel, id) - order by channel - ,id - limit 100; +WITH ss AS + (SELECT s_store_sk, + sum(ss_ext_sales_price) AS sales, + sum(ss_net_profit) AS profit + FROM store_sales, + date_dim, + store + WHERE ss_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + AND ss_store_sk = s_store_sk + GROUP BY s_store_sk) , + sr AS + (SELECT s_store_sk, + sum(sr_return_amt) AS RETURNS, + sum(sr_net_loss) AS profit_loss + FROM store_returns, + date_dim, + store + WHERE sr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + AND sr_store_sk = s_store_sk + GROUP BY s_store_sk), + cs AS + (SELECT cs_call_center_sk, + sum(cs_ext_sales_price) AS sales, + sum(cs_net_profit) AS profit + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + GROUP BY cs_call_center_sk), + cr AS + (SELECT cr_call_center_sk, + sum(cr_return_amount) AS RETURNS, + sum(cr_net_loss) AS profit_loss + FROM catalog_returns, + date_dim + WHERE cr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + GROUP BY cr_call_center_sk), + ws AS + (SELECT wp_web_page_sk, + sum(ws_ext_sales_price) AS sales, + sum(ws_net_profit) AS profit + FROM web_sales, + date_dim, + web_page + WHERE ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + AND ws_web_page_sk = wp_web_page_sk + GROUP BY wp_web_page_sk), + wr AS + (SELECT wp_web_page_sk, + sum(wr_return_amt) AS RETURNS, + sum(wr_net_loss) AS profit_loss + FROM web_returns, + date_dim, + web_page + WHERE wr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + AND wr_web_page_sk = wp_web_page_sk + GROUP BY wp_web_page_sk) +SELECT channel , + id , + sum(sales) AS sales , + sum(RETURNS) AS RETURNS , + sum(profit) AS profit +FROM + (SELECT 'store channel' AS channel , + ss.s_store_sk AS id , + sales , + coalesce(RETURNS, 0) AS RETURNS , + (profit - coalesce(profit_loss, 0)) AS profit + FROM ss + LEFT JOIN sr ON ss.s_store_sk = sr.s_store_sk + UNION ALL SELECT 'catalog channel' AS channel , + cs_call_center_sk AS id , + sales , + RETURNS , + (profit - profit_loss) AS profit + FROM cs , + cr + UNION ALL SELECT 'web channel' AS channel , + ws.wp_web_page_sk AS id , + sales , + coalesce(RETURNS, 0) RETURNS , + (profit - coalesce(profit_loss, 0)) AS profit + FROM ws + LEFT JOIN wr ON ws.wp_web_page_sk = wr.wp_web_page_sk) x +GROUP BY ROLLUP (channel, + id) +ORDER BY channel , + id +LIMIT 100; diff --git a/TPC-DS/queries/query78.sql b/TPC-DS/queries/query78.sql index 9ce04f9026726cbe7483aa804821c72da1347660..5a8727c7d71eb3ca0c7cd83c6bd5e4c6201a87ca 100644 --- a/TPC-DS/queries/query78.sql +++ b/TPC-DS/queries/query78.sql @@ -1,55 +1,76 @@ -with ws as - (select d_year AS ws_sold_year, ws_item_sk, - ws_bill_customer_sk ws_customer_sk, - sum(ws_quantity) ws_qty, - sum(ws_wholesale_cost) ws_wc, - sum(ws_sales_price) ws_sp - from web_sales - left join web_returns on wr_order_number=ws_order_number and ws_item_sk=wr_item_sk - join date_dim on ws_sold_date_sk = d_date_sk - where wr_order_number is null - group by d_year, ws_item_sk, ws_bill_customer_sk - ), -cs as - (select d_year AS cs_sold_year, cs_item_sk, - cs_bill_customer_sk cs_customer_sk, - sum(cs_quantity) cs_qty, - sum(cs_wholesale_cost) cs_wc, - sum(cs_sales_price) cs_sp - from catalog_sales - left join catalog_returns on cr_order_number=cs_order_number and cs_item_sk=cr_item_sk - join date_dim on cs_sold_date_sk = d_date_sk - where cr_order_number is null - group by d_year, cs_item_sk, cs_bill_customer_sk - ), -ss as - (select d_year AS ss_sold_year, ss_item_sk, - ss_customer_sk, - sum(ss_quantity) ss_qty, - sum(ss_wholesale_cost) ss_wc, - sum(ss_sales_price) ss_sp - from store_sales - left join store_returns on sr_ticket_number=ss_ticket_number and ss_item_sk=sr_item_sk - join date_dim on ss_sold_date_sk = d_date_sk - where sr_ticket_number is null - group by d_year, ss_item_sk, ss_customer_sk - ) - select -ss_sold_year, ss_item_sk, ss_customer_sk, -round(ss_qty/(coalesce(ws_qty,0)+coalesce(cs_qty,0)),2) ratio, -ss_qty store_qty, ss_wc store_wholesale_cost, ss_sp store_sales_price, -coalesce(ws_qty,0)+coalesce(cs_qty,0) other_chan_qty, -coalesce(ws_wc,0)+coalesce(cs_wc,0) other_chan_wholesale_cost, -coalesce(ws_sp,0)+coalesce(cs_sp,0) other_chan_sales_price -from ss -left join ws on (ws_sold_year=ss_sold_year and ws_item_sk=ss_item_sk and ws_customer_sk=ss_customer_sk) -left join cs on (cs_sold_year=ss_sold_year and cs_item_sk=ss_item_sk and cs_customer_sk=ss_customer_sk) -where (coalesce(ws_qty,0)>0 or coalesce(cs_qty, 0)>0) and ss_sold_year=2000 -order by - ss_sold_year, ss_item_sk, ss_customer_sk, - ss_qty desc, ss_wc desc, ss_sp desc, - other_chan_qty, - other_chan_wholesale_cost, - other_chan_sales_price, - ratio -limit 100; +WITH ws AS + (SELECT d_year AS ws_sold_year, + ws_item_sk, + ws_bill_customer_sk ws_customer_sk, + sum(ws_quantity) ws_qty, + sum(ws_wholesale_cost) ws_wc, + sum(ws_sales_price) ws_sp + FROM web_sales + LEFT JOIN web_returns ON wr_order_number=ws_order_number + AND ws_item_sk=wr_item_sk + JOIN date_dim ON ws_sold_date_sk = d_date_sk + WHERE wr_order_number IS NULL + GROUP BY d_year, + ws_item_sk, + ws_bill_customer_sk), + cs AS + (SELECT d_year AS cs_sold_year, + cs_item_sk, + cs_bill_customer_sk cs_customer_sk, + sum(cs_quantity) cs_qty, + sum(cs_wholesale_cost) cs_wc, + sum(cs_sales_price) cs_sp + FROM catalog_sales + LEFT JOIN catalog_returns ON cr_order_number=cs_order_number + AND cs_item_sk=cr_item_sk + JOIN date_dim ON cs_sold_date_sk = d_date_sk + WHERE cr_order_number IS NULL + GROUP BY d_year, + cs_item_sk, + cs_bill_customer_sk), + ss AS + (SELECT d_year AS ss_sold_year, + ss_item_sk, + ss_customer_sk, + sum(ss_quantity) ss_qty, + sum(ss_wholesale_cost) ss_wc, + sum(ss_sales_price) ss_sp + FROM store_sales + LEFT JOIN store_returns ON sr_ticket_number=ss_ticket_number + AND ss_item_sk=sr_item_sk + JOIN date_dim ON ss_sold_date_sk = d_date_sk + WHERE sr_ticket_number IS NULL + GROUP BY d_year, + ss_item_sk, + ss_customer_sk) +SELECT ss_sold_year, + ss_item_sk, + ss_customer_sk, + round(ss_qty/(coalesce(ws_qty, 0)+coalesce(cs_qty, 0)), 2) ratio, + ss_qty store_qty, + ss_wc store_wholesale_cost, + ss_sp store_sales_price, + coalesce(ws_qty, 0)+coalesce(cs_qty, 0) other_chan_qty, + coalesce(ws_wc, 0)+coalesce(cs_wc, 0) other_chan_wholesale_cost, + coalesce(ws_sp, 0)+coalesce(cs_sp, 0) other_chan_sales_price +FROM ss +LEFT JOIN ws ON (ws_sold_year=ss_sold_year + AND ws_item_sk=ss_item_sk + AND ws_customer_sk=ss_customer_sk) +LEFT JOIN cs ON (cs_sold_year=ss_sold_year + AND cs_item_sk=ss_item_sk + AND cs_customer_sk=ss_customer_sk) +WHERE (coalesce(ws_qty, 0)>0 + OR coalesce(cs_qty, 0)>0) + AND ss_sold_year=2000 +ORDER BY ss_sold_year, + ss_item_sk, + ss_customer_sk, + ss_qty DESC, + ss_wc DESC, + ss_sp DESC, + other_chan_qty, + other_chan_wholesale_cost, + other_chan_sales_price, + ratio +LIMIT 100; diff --git a/TPC-DS/queries/query79.sql b/TPC-DS/queries/query79.sql index 1584a0af8f3d240ea8c5d67fd8095f4a13b2277c..7ae838dc522d130257eff6735d967b1a6ab6343f 100644 --- a/TPC-DS/queries/query79.sql +++ b/TPC-DS/queries/query79.sql @@ -1,20 +1,37 @@ -select - c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit - from - (select ss_ticket_number - ,ss_customer_sk - ,store.s_city - ,sum(ss_coupon_amt) amt - ,sum(ss_net_profit) profit - from store_sales,date_dim,store,household_demographics - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_store_sk = store.s_store_sk - and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk - and (household_demographics.hd_dep_count = 8 or household_demographics.hd_vehicle_count > 0) - and date_dim.d_dow = 1 - and date_dim.d_year in (1998,1998+1,1998+2) - and store.s_number_employees between 200 and 295 - group by ss_ticket_number,ss_customer_sk,ss_addr_sk,store.s_city) ms,customer - where ss_customer_sk = c_customer_sk - order by c_last_name,c_first_name,substr(s_city,1,30), profit -limit 100; +SELECT c_last_name, + c_first_name, + substr(s_city, 1, 30), + ss_ticket_number, + amt, + profit +FROM + (SELECT ss_ticket_number , + ss_customer_sk , + store.s_city , + sum(ss_coupon_amt) amt , + sum(ss_net_profit) profit + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND (household_demographics.hd_dep_count = 8 + OR household_demographics.hd_vehicle_count > 0) + AND date_dim.d_dow = 1 + AND date_dim.d_year IN (1998, + 1998+1, + 1998+2) + AND store.s_number_employees BETWEEN 200 AND 295 + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + store.s_city) ms, + customer +WHERE ss_customer_sk = c_customer_sk +ORDER BY c_last_name, + c_first_name, + substr(s_city, 1, 30), + profit +LIMIT 100; diff --git a/TPC-DS/queries/query8.sql b/TPC-DS/queries/query8.sql index a9ba6a0e0e29fd6716968530c020d569db30d804..d5ec0e616c6a444f1427be4e6becdf5e953c3cf6 100644 --- a/TPC-DS/queries/query8.sql +++ b/TPC-DS/queries/query8.sql @@ -1,105 +1,427 @@ -select s_store_name - ,sum(ss_net_profit) - from store_sales - ,date_dim - ,store, - (select ca_zip - from ( - SELECT substr(ca_zip,1,5) ca_zip +SELECT s_store_name , + sum(ss_net_profit) +FROM store_sales , + date_dim , + store, + + (SELECT ca_zip + FROM + (SELECT substr(ca_zip, 1, 5) ca_zip FROM customer_address - WHERE substr(ca_zip,1,5) IN ( - '89436','30868','65085','22977','83927','77557', - '58429','40697','80614','10502','32779', - '91137','61265','98294','17921','18427', - '21203','59362','87291','84093','21505', - '17184','10866','67898','25797','28055', - '18377','80332','74535','21757','29742', - '90885','29898','17819','40811','25990', - '47513','89531','91068','10391','18846', - '99223','82637','41368','83658','86199', - '81625','26696','89338','88425','32200', - '81427','19053','77471','36610','99823', - '43276','41249','48584','83550','82276', - '18842','78890','14090','38123','40936', - '34425','19850','43286','80072','79188', - '54191','11395','50497','84861','90733', - '21068','57666','37119','25004','57835', - '70067','62878','95806','19303','18840', - '19124','29785','16737','16022','49613', - '89977','68310','60069','98360','48649', - '39050','41793','25002','27413','39736', - '47208','16515','94808','57648','15009', - '80015','42961','63982','21744','71853', - '81087','67468','34175','64008','20261', - '11201','51799','48043','45645','61163', - '48375','36447','57042','21218','41100', - '89951','22745','35851','83326','61125', - '78298','80752','49858','52940','96976', - '63792','11376','53582','18717','90226', - '50530','94203','99447','27670','96577', - '57856','56372','16165','23427','54561', - '28806','44439','22926','30123','61451', - '92397','56979','92309','70873','13355', - '21801','46346','37562','56458','28286', - '47306','99555','69399','26234','47546', - '49661','88601','35943','39936','25632', - '24611','44166','56648','30379','59785', - '11110','14329','93815','52226','71381', - '13842','25612','63294','14664','21077', - '82626','18799','60915','81020','56447', - '76619','11433','13414','42548','92713', - '70467','30884','47484','16072','38936', - '13036','88376','45539','35901','19506', - '65690','73957','71850','49231','14276', - '20005','18384','76615','11635','38177', - '55607','41369','95447','58581','58149', - '91946','33790','76232','75692','95464', - '22246','51061','56692','53121','77209', - '15482','10688','14868','45907','73520', - '72666','25734','17959','24677','66446', - '94627','53535','15560','41967','69297', - '11929','59403','33283','52232','57350', - '43933','40921','36635','10827','71286', - '19736','80619','25251','95042','15526', - '36496','55854','49124','81980','35375', - '49157','63512','28944','14946','36503', - '54010','18767','23969','43905','66979', - '33113','21286','58471','59080','13395', - '79144','70373','67031','38360','26705', - '50906','52406','26066','73146','15884', - '31897','30045','61068','45550','92454', - '13376','14354','19770','22928','97790', - '50723','46081','30202','14410','20223', - '88500','67298','13261','14172','81410', - '93578','83583','46047','94167','82564', - '21156','15799','86709','37931','74703', - '83103','23054','70470','72008','49247', - '91911','69998','20961','70070','63197', - '54853','88191','91830','49521','19454', - '81450','89091','62378','25683','61869', - '51744','36580','85778','36871','48121', - '28810','83712','45486','67393','26935', - '42393','20132','55349','86057','21309', - '80218','10094','11357','48819','39734', - '40758','30432','21204','29467','30214', - '61024','55307','74621','11622','68908', - '33032','52868','99194','99900','84936', - '69036','99149','45013','32895','59004', - '32322','14933','32936','33562','72550', - '27385','58049','58200','16808','21360', - '32961','18586','79307','15492') - intersect - select ca_zip - from (SELECT substr(ca_zip,1,5) ca_zip,count(*) cnt - FROM customer_address, customer - WHERE ca_address_sk = c_current_addr_sk and - c_preferred_cust_flag='Y' - group by ca_zip - having count(*) > 10)A1)A2) V1 - where ss_store_sk = s_store_sk - and ss_sold_date_sk = d_date_sk - and d_qoy = 1 and d_year = 2002 - and (substr(s_zip,1,2) = substr(V1.ca_zip,1,2)) - group by s_store_name - order by s_store_name - limit 100; + WHERE substr(ca_zip, 1, 5) IN ('89436', + '30868', + '65085', + '22977', + '83927', + '77557', + '58429', + '40697', + '80614', + '10502', + '32779', + '91137', + '61265', + '98294', + '17921', + '18427', + '21203', + '59362', + '87291', + '84093', + '21505', + '17184', + '10866', + '67898', + '25797', + '28055', + '18377', + '80332', + '74535', + '21757', + '29742', + '90885', + '29898', + '17819', + '40811', + '25990', + '47513', + '89531', + '91068', + '10391', + '18846', + '99223', + '82637', + '41368', + '83658', + '86199', + '81625', + '26696', + '89338', + '88425', + '32200', + '81427', + '19053', + '77471', + '36610', + '99823', + '43276', + '41249', + '48584', + '83550', + '82276', + '18842', + '78890', + '14090', + '38123', + '40936', + '34425', + '19850', + '43286', + '80072', + '79188', + '54191', + '11395', + '50497', + '84861', + '90733', + '21068', + '57666', + '37119', + '25004', + '57835', + '70067', + '62878', + '95806', + '19303', + '18840', + '19124', + '29785', + '16737', + '16022', + '49613', + '89977', + '68310', + '60069', + '98360', + '48649', + '39050', + '41793', + '25002', + '27413', + '39736', + '47208', + '16515', + '94808', + '57648', + '15009', + '80015', + '42961', + '63982', + '21744', + '71853', + '81087', + '67468', + '34175', + '64008', + '20261', + '11201', + '51799', + '48043', + '45645', + '61163', + '48375', + '36447', + '57042', + '21218', + '41100', + '89951', + '22745', + '35851', + '83326', + '61125', + '78298', + '80752', + '49858', + '52940', + '96976', + '63792', + '11376', + '53582', + '18717', + '90226', + '50530', + '94203', + '99447', + '27670', + '96577', + '57856', + '56372', + '16165', + '23427', + '54561', + '28806', + '44439', + '22926', + '30123', + '61451', + '92397', + '56979', + '92309', + '70873', + '13355', + '21801', + '46346', + '37562', + '56458', + '28286', + '47306', + '99555', + '69399', + '26234', + '47546', + '49661', + '88601', + '35943', + '39936', + '25632', + '24611', + '44166', + '56648', + '30379', + '59785', + '11110', + '14329', + '93815', + '52226', + '71381', + '13842', + '25612', + '63294', + '14664', + '21077', + '82626', + '18799', + '60915', + '81020', + '56447', + '76619', + '11433', + '13414', + '42548', + '92713', + '70467', + '30884', + '47484', + '16072', + '38936', + '13036', + '88376', + '45539', + '35901', + '19506', + '65690', + '73957', + '71850', + '49231', + '14276', + '20005', + '18384', + '76615', + '11635', + '38177', + '55607', + '41369', + '95447', + '58581', + '58149', + '91946', + '33790', + '76232', + '75692', + '95464', + '22246', + '51061', + '56692', + '53121', + '77209', + '15482', + '10688', + '14868', + '45907', + '73520', + '72666', + '25734', + '17959', + '24677', + '66446', + '94627', + '53535', + '15560', + '41967', + '69297', + '11929', + '59403', + '33283', + '52232', + '57350', + '43933', + '40921', + '36635', + '10827', + '71286', + '19736', + '80619', + '25251', + '95042', + '15526', + '36496', + '55854', + '49124', + '81980', + '35375', + '49157', + '63512', + '28944', + '14946', + '36503', + '54010', + '18767', + '23969', + '43905', + '66979', + '33113', + '21286', + '58471', + '59080', + '13395', + '79144', + '70373', + '67031', + '38360', + '26705', + '50906', + '52406', + '26066', + '73146', + '15884', + '31897', + '30045', + '61068', + '45550', + '92454', + '13376', + '14354', + '19770', + '22928', + '97790', + '50723', + '46081', + '30202', + '14410', + '20223', + '88500', + '67298', + '13261', + '14172', + '81410', + '93578', + '83583', + '46047', + '94167', + '82564', + '21156', + '15799', + '86709', + '37931', + '74703', + '83103', + '23054', + '70470', + '72008', + '49247', + '91911', + '69998', + '20961', + '70070', + '63197', + '54853', + '88191', + '91830', + '49521', + '19454', + '81450', + '89091', + '62378', + '25683', + '61869', + '51744', + '36580', + '85778', + '36871', + '48121', + '28810', + '83712', + '45486', + '67393', + '26935', + '42393', + '20132', + '55349', + '86057', + '21309', + '80218', + '10094', + '11357', + '48819', + '39734', + '40758', + '30432', + '21204', + '29467', + '30214', + '61024', + '55307', + '74621', + '11622', + '68908', + '33032', + '52868', + '99194', + '99900', + '84936', + '69036', + '99149', + '45013', + '32895', + '59004', + '32322', + '14933', + '32936', + '33562', + '72550', + '27385', + '58049', + '58200', + '16808', + '21360', + '32961', + '18586', + '79307', + '15492') INTERSECT SELECT ca_zip + FROM + (SELECT substr(ca_zip, 1, 5) ca_zip, + count(*) cnt + FROM customer_address, + customer + WHERE ca_address_sk = c_current_addr_sk + AND c_preferred_cust_flag='Y' + GROUP BY ca_zip + HAVING count(*) > 10)A1)A2) V1 +WHERE ss_store_sk = s_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_qoy = 1 + AND d_year = 2002 + AND (substr(s_zip, 1, 2) = substr(V1.ca_zip, 1, 2)) +GROUP BY s_store_name +ORDER BY s_store_name +LIMIT 100; diff --git a/TPC-DS/queries/query80.sql b/TPC-DS/queries/query80.sql index 680ff8e39b6cb4749eeef9e05f1c1bbbb62f41be..a745f082c7169a059d8f62cbc968f8c02b73188e 100644 --- a/TPC-DS/queries/query80.sql +++ b/TPC-DS/queries/query80.sql @@ -1,93 +1,86 @@ -with ssr as - (select s_store_id as store_id, - sum(ss_ext_sales_price) as sales, - sum(coalesce(sr_return_amt, 0)) as returns, - sum(ss_net_profit - coalesce(sr_net_loss, 0)) as profit - from store_sales left outer join store_returns on - (ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number), - date_dim, - store, - item, - promotion - where ss_sold_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - and ss_store_sk = s_store_sk - and ss_item_sk = i_item_sk - and i_current_price > 50 - and ss_promo_sk = p_promo_sk - and p_channel_tv = 'N' - group by s_store_id) - , - csr as - (select cp_catalog_page_id as catalog_page_id, - sum(cs_ext_sales_price) as sales, - sum(coalesce(cr_return_amount, 0)) as returns, - sum(cs_net_profit - coalesce(cr_net_loss, 0)) as profit - from catalog_sales left outer join catalog_returns on - (cs_item_sk = cr_item_sk and cs_order_number = cr_order_number), - date_dim, - catalog_page, - item, - promotion - where cs_sold_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - and cs_catalog_page_sk = cp_catalog_page_sk - and cs_item_sk = i_item_sk - and i_current_price > 50 - and cs_promo_sk = p_promo_sk - and p_channel_tv = 'N' -group by cp_catalog_page_id) - , - wsr as - (select web_site_id, - sum(ws_ext_sales_price) as sales, - sum(coalesce(wr_return_amt, 0)) as returns, - sum(ws_net_profit - coalesce(wr_net_loss, 0)) as profit - from web_sales left outer join web_returns on - (ws_item_sk = wr_item_sk and ws_order_number = wr_order_number), - date_dim, - web_site, - item, - promotion - where ws_sold_date_sk = d_date_sk - and d_date between cast('1998-08-04' as date) - and (cast('1998-08-04' as date) + 30 days) - and ws_web_site_sk = web_site_sk - and ws_item_sk = i_item_sk - and i_current_price > 50 - and ws_promo_sk = p_promo_sk - and p_channel_tv = 'N' -group by web_site_id) - select channel - , id - , sum(sales) as sales - , sum(returns) as returns - , sum(profit) as profit - from - (select 'store channel' as channel - , 'store' || store_id as id - , sales - , returns - , profit - from ssr - union all - select 'catalog channel' as channel - , 'catalog_page' || catalog_page_id as id - , sales - , returns - , profit - from csr - union all - select 'web channel' as channel - , 'web_site' || web_site_id as id - , sales - , returns - , profit - from wsr - ) x - group by rollup (channel, id) - order by channel - ,id - limit 100; +WITH ssr AS + (SELECT s_store_id AS store_id, + sum(ss_ext_sales_price) AS sales, + sum(coalesce(sr_return_amt, 0)) AS RETURNS, + sum(ss_net_profit - coalesce(sr_net_loss, 0)) AS profit + FROM store_sales + LEFT OUTER JOIN store_returns ON (ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number), date_dim, + store, + item, + promotion + WHERE ss_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + AND ss_store_sk = s_store_sk + AND ss_item_sk = i_item_sk + AND i_current_price > 50 + AND ss_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY s_store_id) , + csr AS + (SELECT cp_catalog_page_id AS catalog_page_id, + sum(cs_ext_sales_price) AS sales, + sum(coalesce(cr_return_amount, 0)) AS RETURNS, + sum(cs_net_profit - coalesce(cr_net_loss, 0)) AS profit + FROM catalog_sales + LEFT OUTER JOIN catalog_returns ON (cs_item_sk = cr_item_sk + AND cs_order_number = cr_order_number), date_dim, + catalog_page, + item, + promotion + WHERE cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + AND cs_catalog_page_sk = cp_catalog_page_sk + AND cs_item_sk = i_item_sk + AND i_current_price > 50 + AND cs_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY cp_catalog_page_id) , + wsr AS + (SELECT web_site_id, + sum(ws_ext_sales_price) AS sales, + sum(coalesce(wr_return_amt, 0)) AS RETURNS, + sum(ws_net_profit - coalesce(wr_net_loss, 0)) AS profit + FROM web_sales + LEFT OUTER JOIN web_returns ON (ws_item_sk = wr_item_sk + AND ws_order_number = wr_order_number), date_dim, + web_site, + item, + promotion + WHERE ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 30 days) + AND ws_web_site_sk = web_site_sk + AND ws_item_sk = i_item_sk + AND i_current_price > 50 + AND ws_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY web_site_id) +SELECT channel , + id , + sum(sales) AS sales , + sum(RETURNS) AS RETURNS , + sum(profit) AS profit +FROM + (SELECT 'store channel' AS channel , + 'store' || store_id AS id , + sales , + RETURNS , + profit + FROM ssr + UNION ALL SELECT 'catalog channel' AS channel , + 'catalog_page' || catalog_page_id AS id , + sales , + RETURNS , + profit + FROM csr + UNION ALL SELECT 'web channel' AS channel , + 'web_site' || web_site_id AS id , + sales , + RETURNS , + profit + FROM wsr) x +GROUP BY ROLLUP (channel, + id) +ORDER BY channel , + id +LIMIT 100; diff --git a/TPC-DS/queries/query81.sql b/TPC-DS/queries/query81.sql index 26655cdf5839376151253616ca774c848354110e..c8fe59454a1b393a2e5aaabbeced42d3b17a7033 100644 --- a/TPC-DS/queries/query81.sql +++ b/TPC-DS/queries/query81.sql @@ -1,28 +1,55 @@ -with customer_total_return as - (select cr_returning_customer_sk as ctr_customer_sk - ,ca_state as ctr_state, - sum(cr_return_amt_inc_tax) as ctr_total_return - from catalog_returns - ,date_dim - ,customer_address - where cr_returned_date_sk = d_date_sk - and d_year =1998 - and cr_returning_addr_sk = ca_address_sk - group by cr_returning_customer_sk - ,ca_state ) - select c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name - ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset - ,ca_location_type,ctr_total_return - from customer_total_return ctr1 - ,customer_address - ,customer - where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 - from customer_total_return ctr2 - where ctr1.ctr_state = ctr2.ctr_state) - and ca_address_sk = c_current_addr_sk - and ca_state = 'IL' - and ctr1.ctr_customer_sk = c_customer_sk - order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name - ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset - ,ca_location_type,ctr_total_return - limit 100; +WITH customer_total_return AS + (SELECT cr_returning_customer_sk AS ctr_customer_sk , + ca_state AS ctr_state, + sum(cr_return_amt_inc_tax) AS ctr_total_return + FROM catalog_returns , + date_dim , + customer_address + WHERE cr_returned_date_sk = d_date_sk + AND d_year =1998 + AND cr_returning_addr_sk = ca_address_sk + GROUP BY cr_returning_customer_sk , + ca_state) +SELECT c_customer_id, + c_salutation, + c_first_name, + c_last_name, + ca_street_number, + ca_street_name , + ca_street_type, + ca_suite_number, + ca_city, + ca_county, + ca_state, + ca_zip, + ca_country, + ca_gmt_offset , + ca_location_type, + ctr_total_return +FROM customer_total_return ctr1 , + customer_address , + customer +WHERE ctr1.ctr_total_return > + (SELECT avg(ctr_total_return)*1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_state = ctr2.ctr_state) + AND ca_address_sk = c_current_addr_sk + AND ca_state = 'IL' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id, + c_salutation, + c_first_name, + c_last_name, + ca_street_number, + ca_street_name , + ca_street_type, + ca_suite_number, + ca_city, + ca_county, + ca_state, + ca_zip, + ca_country, + ca_gmt_offset , + ca_location_type, + ctr_total_return +LIMIT 100; diff --git a/TPC-DS/queries/query82.sql b/TPC-DS/queries/query82.sql index 4fa0ea9be4b728bae3bc856544e40a2127a60518..e255da3c5efbdcaf2b6c766156103b34e0ac1e2c 100644 --- a/TPC-DS/queries/query82.sql +++ b/TPC-DS/queries/query82.sql @@ -1,14 +1,22 @@ -select i_item_id - ,i_item_desc - ,i_current_price - from item, inventory, date_dim, store_sales - where i_current_price between 30 and 30+30 - and inv_item_sk = i_item_sk - and d_date_sk=inv_date_sk - and d_date between cast('2002-05-30' as date) and (cast('2002-05-30' as date) + 60 days) - and i_manufact_id in (437,129,727,663) - and inv_quantity_on_hand between 100 and 500 - and ss_item_sk = i_item_sk - group by i_item_id,i_item_desc,i_current_price - order by i_item_id - limit 100; +SELECT i_item_id , + i_item_desc , + i_current_price +FROM item, + inventory, + date_dim, + store_sales +WHERE i_current_price BETWEEN 30 AND 30+30 + AND inv_item_sk = i_item_sk + AND d_date_sk=inv_date_sk + AND d_date BETWEEN cast('2002-05-30' AS date) AND (cast('2002-05-30' AS date) + 60 days) + AND i_manufact_id IN (437, + 129, + 727, + 663) + AND inv_quantity_on_hand BETWEEN 100 AND 500 + AND ss_item_sk = i_item_sk +GROUP BY i_item_id, + i_item_desc, + i_current_price +ORDER BY i_item_id +LIMIT 100; diff --git a/TPC-DS/queries/query83.sql b/TPC-DS/queries/query83.sql index efb9c34c996dea9bdd70daf01e45d0e03bd62f58..bd9c55ae3ccf2c32bfff4f721e2be5e56817f779 100644 --- a/TPC-DS/queries/query83.sql +++ b/TPC-DS/queries/query83.sql @@ -1,64 +1,70 @@ -with sr_items as - (select i_item_id item_id, - sum(sr_return_quantity) sr_item_qty - from store_returns, - item, - date_dim - where sr_item_sk = i_item_sk - and d_date in - (select d_date - from date_dim - where d_week_seq in - (select d_week_seq - from date_dim - where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) - and sr_returned_date_sk = d_date_sk - group by i_item_id), - cr_items as - (select i_item_id item_id, - sum(cr_return_quantity) cr_item_qty - from catalog_returns, - item, - date_dim - where cr_item_sk = i_item_sk - and d_date in - (select d_date - from date_dim - where d_week_seq in - (select d_week_seq - from date_dim - where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) - and cr_returned_date_sk = d_date_sk - group by i_item_id), - wr_items as - (select i_item_id item_id, - sum(wr_return_quantity) wr_item_qty - from web_returns, - item, - date_dim - where wr_item_sk = i_item_sk - and d_date in - (select d_date - from date_dim - where d_week_seq in - (select d_week_seq - from date_dim - where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) - and wr_returned_date_sk = d_date_sk - group by i_item_id) - select sr_items.item_id - ,sr_item_qty - ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev - ,cr_item_qty - ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev - ,wr_item_qty - ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev - ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average - from sr_items - ,cr_items - ,wr_items - where sr_items.item_id=cr_items.item_id - and sr_items.item_id=wr_items.item_id - order by sr_items.item_id - ,sr_item_qty - limit 100; +WITH sr_items AS + (SELECT i_item_id item_id, + sum(sr_return_quantity) sr_item_qty + FROM store_returns, + item, + date_dim + WHERE sr_item_sk = i_item_sk + AND d_date IN + (SELECT d_date + FROM date_dim + WHERE d_week_seq IN + (SELECT d_week_seq + FROM date_dim + WHERE d_date IN ('1998-01-02', + '1998-10-15', + '1998-11-10'))) + AND sr_returned_date_sk = d_date_sk + GROUP BY i_item_id), + cr_items AS + (SELECT i_item_id item_id, + sum(cr_return_quantity) cr_item_qty + FROM catalog_returns, + item, + date_dim + WHERE cr_item_sk = i_item_sk + AND d_date IN + (SELECT d_date + FROM date_dim + WHERE d_week_seq IN + (SELECT d_week_seq + FROM date_dim + WHERE d_date IN ('1998-01-02', + '1998-10-15', + '1998-11-10'))) + AND cr_returned_date_sk = d_date_sk + GROUP BY i_item_id), + wr_items AS + (SELECT i_item_id item_id, + sum(wr_return_quantity) wr_item_qty + FROM web_returns, + item, + date_dim + WHERE wr_item_sk = i_item_sk + AND d_date IN + (SELECT d_date + FROM date_dim + WHERE d_week_seq IN + (SELECT d_week_seq + FROM date_dim + WHERE d_date IN ('1998-01-02', + '1998-10-15', + '1998-11-10'))) + AND wr_returned_date_sk = d_date_sk + GROUP BY i_item_id) +SELECT sr_items.item_id , + sr_item_qty , + sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev , + cr_item_qty , + cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev , + wr_item_qty , + wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev , + (sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average +FROM sr_items , + cr_items , + wr_items +WHERE sr_items.item_id=cr_items.item_id + AND sr_items.item_id=wr_items.item_id +ORDER BY sr_items.item_id , + sr_item_qty +LIMIT 100; diff --git a/TPC-DS/queries/query84.sql b/TPC-DS/queries/query84.sql index 4e4017e12f1877870b0a250b3350e5b13293f97c..3e55f35c1d03be6869f5ead8c17b6b453db9e940 100644 --- a/TPC-DS/queries/query84.sql +++ b/TPC-DS/queries/query84.sql @@ -1,18 +1,18 @@ -select c_customer_id as customer_id - , coalesce(c_last_name,'') || ', ' || coalesce(c_first_name,'') as customername - from customer - ,customer_address - ,customer_demographics - ,household_demographics - ,income_band - ,store_returns - where ca_city = 'Hopewell' - and c_current_addr_sk = ca_address_sk - and ib_lower_bound >= 32287 - and ib_upper_bound <= 32287 + 50000 - and ib_income_band_sk = hd_income_band_sk - and cd_demo_sk = c_current_cdemo_sk - and hd_demo_sk = c_current_hdemo_sk - and sr_cdemo_sk = cd_demo_sk - order by c_customer_id - limit 100; +SELECT c_customer_id AS customer_id , + coalesce(c_last_name, '') || ', ' || coalesce(c_first_name, '') AS customername +FROM customer , + customer_address , + customer_demographics , + household_demographics , + income_band , + store_returns +WHERE ca_city = 'Hopewell' + AND c_current_addr_sk = ca_address_sk + AND ib_lower_bound >= 32287 + AND ib_upper_bound <= 32287 + 50000 + AND ib_income_band_sk = hd_income_band_sk + AND cd_demo_sk = c_current_cdemo_sk + AND hd_demo_sk = c_current_hdemo_sk + AND sr_cdemo_sk = cd_demo_sk +ORDER BY c_customer_id +LIMIT 100; diff --git a/TPC-DS/queries/query85.sql b/TPC-DS/queries/query85.sql index 49ff71f51d10ca16c7cac93d8ba5372ad363ffd3..caa12a5f7fc2391cb5f15d04a6536d014bf2a6f9 100644 --- a/TPC-DS/queries/query85.sql +++ b/TPC-DS/queries/query85.sql @@ -1,81 +1,57 @@ -select substr(r_reason_desc,1,20) - ,avg(ws_quantity) - ,avg(wr_refunded_cash) - ,avg(wr_fee) - from web_sales, web_returns, web_page, customer_demographics cd1, - customer_demographics cd2, customer_address, date_dim, reason - where ws_web_page_sk = wp_web_page_sk - and ws_item_sk = wr_item_sk - and ws_order_number = wr_order_number - and ws_sold_date_sk = d_date_sk and d_year = 1998 - and cd1.cd_demo_sk = wr_refunded_cdemo_sk - and cd2.cd_demo_sk = wr_returning_cdemo_sk - and ca_address_sk = wr_refunded_addr_sk - and r_reason_sk = wr_reason_sk - and - ( - ( - cd1.cd_marital_status = 'M' - and - cd1.cd_marital_status = cd2.cd_marital_status - and - cd1.cd_education_status = '4 yr Degree' - and - cd1.cd_education_status = cd2.cd_education_status - and - ws_sales_price between 100.00 and 150.00 - ) - or - ( - cd1.cd_marital_status = 'D' - and - cd1.cd_marital_status = cd2.cd_marital_status - and - cd1.cd_education_status = 'Primary' - and - cd1.cd_education_status = cd2.cd_education_status - and - ws_sales_price between 50.00 and 100.00 - ) - or - ( - cd1.cd_marital_status = 'U' - and - cd1.cd_marital_status = cd2.cd_marital_status - and - cd1.cd_education_status = 'Advanced Degree' - and - cd1.cd_education_status = cd2.cd_education_status - and - ws_sales_price between 150.00 and 200.00 - ) - ) - and - ( - ( - ca_country = 'United States' - and - ca_state in ('KY', 'GA', 'NM') - and ws_net_profit between 100 and 200 - ) - or - ( - ca_country = 'United States' - and - ca_state in ('MT', 'OR', 'IN') - and ws_net_profit between 150 and 300 - ) - or - ( - ca_country = 'United States' - and - ca_state in ('WI', 'MO', 'WV') - and ws_net_profit between 50 and 250 - ) - ) -group by r_reason_desc -order by substr(r_reason_desc,1,20) - ,avg(ws_quantity) - ,avg(wr_refunded_cash) - ,avg(wr_fee) -limit 100; +SELECT substr(r_reason_desc, 1, 20) , + avg(ws_quantity) , + avg(wr_refunded_cash) , + avg(wr_fee) +FROM web_sales, + web_returns, + web_page, + customer_demographics cd1, + customer_demographics cd2, + customer_address, + date_dim, + reason +WHERE ws_web_page_sk = wp_web_page_sk + AND ws_item_sk = wr_item_sk + AND ws_order_number = wr_order_number + AND ws_sold_date_sk = d_date_sk + AND d_year = 1998 + AND cd1.cd_demo_sk = wr_refunded_cdemo_sk + AND cd2.cd_demo_sk = wr_returning_cdemo_sk + AND ca_address_sk = wr_refunded_addr_sk + AND r_reason_sk = wr_reason_sk + AND ((cd1.cd_marital_status = 'M' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = '4 yr Degree' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 100.00 AND 150.00) + OR (cd1.cd_marital_status = 'D' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Primary' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 50.00 AND 100.00) + OR (cd1.cd_marital_status = 'U' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Advanced Degree' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 150.00 AND 200.00)) + AND ((ca_country = 'United States' + AND ca_state IN ('KY', + 'GA', + 'NM') + AND ws_net_profit BETWEEN 100 AND 200) + OR (ca_country = 'United States' + AND ca_state IN ('MT', + 'OR', + 'IN') + AND ws_net_profit BETWEEN 150 AND 300) + OR (ca_country = 'United States' + AND ca_state IN ('WI', + 'MO', + 'WV') + AND ws_net_profit BETWEEN 50 AND 250)) +GROUP BY r_reason_desc +ORDER BY substr(r_reason_desc, 1, 20) , + avg(ws_quantity) , + avg(wr_refunded_cash) , + avg(wr_fee) +LIMIT 100; diff --git a/TPC-DS/queries/query86.sql b/TPC-DS/queries/query86.sql index b79d9e682d9dc3a2a3ce016e839691eca618e77c..1936b7729cebb425c1be8133d9dcfc930efb7fa4 100644 --- a/TPC-DS/queries/query86.sql +++ b/TPC-DS/queries/query86.sql @@ -1,23 +1,21 @@ -select - sum(ws_net_paid) as total_sum - ,i_category - ,i_class - ,grouping(i_category)+grouping(i_class) as lochierarchy - ,rank() over ( - partition by grouping(i_category)+grouping(i_class), - case when grouping(i_class) = 0 then i_category end - order by sum(ws_net_paid) desc) as rank_within_parent - from - web_sales - ,date_dim d1 - ,item - where - d1.d_month_seq between 1212 and 1212+11 - and d1.d_date_sk = ws_sold_date_sk - and i_item_sk = ws_item_sk - group by rollup(i_category,i_class) - order by - lochierarchy desc, - case when lochierarchy = 0 then i_category end, - rank_within_parent - limit 100; +SELECT sum(ws_net_paid) AS total_sum , + i_category , + i_class , + grouping(i_category)+grouping(i_class) AS lochierarchy , + rank() OVER (PARTITION BY grouping(i_category)+grouping(i_class), CASE + WHEN grouping(i_class) = 0 THEN i_category + END + ORDER BY sum(ws_net_paid) DESC) AS rank_within_parent +FROM web_sales , + date_dim d1 , + item +WHERE d1.d_month_seq BETWEEN 1212 AND 1212+11 + AND d1.d_date_sk = ws_sold_date_sk + AND i_item_sk = ws_item_sk +GROUP BY rollup(i_category, i_class) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN i_category + END, + rank_within_parent +LIMIT 100; diff --git a/TPC-DS/queries/query87.sql b/TPC-DS/queries/query87.sql index 532a6c724134ed61ec63d0953d70ef9179553d61..dd76f1e632c71e22015d51fe5a2e90d37ca729ef 100644 --- a/TPC-DS/queries/query87.sql +++ b/TPC-DS/queries/query87.sql @@ -1,20 +1,31 @@ -select count(*) -from ((select distinct c_last_name, c_first_name, d_date - from store_sales, date_dim, customer - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) - except - (select distinct c_last_name, c_first_name, d_date - from catalog_sales, date_dim, customer - where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk - and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) - except - (select distinct c_last_name, c_first_name, d_date - from web_sales, date_dim, customer - where web_sales.ws_sold_date_sk = date_dim.d_date_sk - and web_sales.ws_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212+11) -) cool_cust -; +SELECT count(*) +FROM ( + (SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM store_sales, + date_dim, + customer + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1212 AND 1212+11) + EXCEPT + (SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM catalog_sales, + date_dim, + customer + WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1212 AND 1212+11) + EXCEPT + (SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM web_sales, + date_dim, + customer + WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk + AND web_sales.ws_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1212 AND 1212+11)) cool_cust ; diff --git a/TPC-DS/queries/query88.sql b/TPC-DS/queries/query88.sql index b00aa9ef9557c4347d558571ab2de771b35faa9c..572f9e8b29258338c72102472d9929957be6a126 100644 --- a/TPC-DS/queries/query88.sql +++ b/TPC-DS/queries/query88.sql @@ -1,91 +1,145 @@ -select * -from - (select count(*) h8_30_to_9 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 8 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s1, - (select count(*) h9_to_9_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 9 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s2, - (select count(*) h9_30_to_10 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 9 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s3, - (select count(*) h10_to_10_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 10 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s4, - (select count(*) h10_30_to_11 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 10 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s5, - (select count(*) h11_to_11_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 11 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s6, - (select count(*) h11_30_to_12 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 11 - and time_dim.t_minute >= 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s7, - (select count(*) h12_to_12_30 - from store_sales, household_demographics , time_dim, store - where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 12 - and time_dim.t_minute < 30 - and ((household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2) or - (household_demographics.hd_dep_count = 0 and household_demographics.hd_vehicle_count<=0+2) or - (household_demographics.hd_dep_count = 1 and household_demographics.hd_vehicle_count<=1+2)) - and store.s_store_name = 'ese') s8 -; +SELECT * +FROM + (SELECT count(*) h8_30_to_9 + FROM store_sales, + household_demographics, + time_dim, + store + WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 8 + AND time_dim.t_minute >= 30 + AND ((household_demographics.hd_dep_count = 3 + AND household_demographics.hd_vehicle_count<=3+2) + OR (household_demographics.hd_dep_count = 0 + AND household_demographics.hd_vehicle_count<=0+2) + OR (household_demographics.hd_dep_count = 1 + AND household_demographics.hd_vehicle_count<=1+2)) + AND store.s_store_name = 'ese') s1, + + (SELECT count(*) h9_to_9_30 + FROM store_sales, + household_demographics, + time_dim, + store + WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 9 + AND time_dim.t_minute < 30 + AND ((household_demographics.hd_dep_count = 3 + AND household_demographics.hd_vehicle_count<=3+2) + OR (household_demographics.hd_dep_count = 0 + AND household_demographics.hd_vehicle_count<=0+2) + OR (household_demographics.hd_dep_count = 1 + AND household_demographics.hd_vehicle_count<=1+2)) + AND store.s_store_name = 'ese') s2, + + (SELECT count(*) h9_30_to_10 + FROM store_sales, + household_demographics, + time_dim, + store + WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 9 + AND time_dim.t_minute >= 30 + AND ((household_demographics.hd_dep_count = 3 + AND household_demographics.hd_vehicle_count<=3+2) + OR (household_demographics.hd_dep_count = 0 + AND household_demographics.hd_vehicle_count<=0+2) + OR (household_demographics.hd_dep_count = 1 + AND household_demographics.hd_vehicle_count<=1+2)) + AND store.s_store_name = 'ese') s3, + + (SELECT count(*) h10_to_10_30 + FROM store_sales, + household_demographics, + time_dim, + store + WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 10 + AND time_dim.t_minute < 30 + AND ((household_demographics.hd_dep_count = 3 + AND household_demographics.hd_vehicle_count<=3+2) + OR (household_demographics.hd_dep_count = 0 + AND household_demographics.hd_vehicle_count<=0+2) + OR (household_demographics.hd_dep_count = 1 + AND household_demographics.hd_vehicle_count<=1+2)) + AND store.s_store_name = 'ese') s4, + + (SELECT count(*) h10_30_to_11 + FROM store_sales, + household_demographics, + time_dim, + store + WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 10 + AND time_dim.t_minute >= 30 + AND ((household_demographics.hd_dep_count = 3 + AND household_demographics.hd_vehicle_count<=3+2) + OR (household_demographics.hd_dep_count = 0 + AND household_demographics.hd_vehicle_count<=0+2) + OR (household_demographics.hd_dep_count = 1 + AND household_demographics.hd_vehicle_count<=1+2)) + AND store.s_store_name = 'ese') s5, + + (SELECT count(*) h11_to_11_30 + FROM store_sales, + household_demographics, + time_dim, + store + WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 11 + AND time_dim.t_minute < 30 + AND ((household_demographics.hd_dep_count = 3 + AND household_demographics.hd_vehicle_count<=3+2) + OR (household_demographics.hd_dep_count = 0 + AND household_demographics.hd_vehicle_count<=0+2) + OR (household_demographics.hd_dep_count = 1 + AND household_demographics.hd_vehicle_count<=1+2)) + AND store.s_store_name = 'ese') s6, + + (SELECT count(*) h11_30_to_12 + FROM store_sales, + household_demographics, + time_dim, + store + WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 11 + AND time_dim.t_minute >= 30 + AND ((household_demographics.hd_dep_count = 3 + AND household_demographics.hd_vehicle_count<=3+2) + OR (household_demographics.hd_dep_count = 0 + AND household_demographics.hd_vehicle_count<=0+2) + OR (household_demographics.hd_dep_count = 1 + AND household_demographics.hd_vehicle_count<=1+2)) + AND store.s_store_name = 'ese') s7, + + (SELECT count(*) h12_to_12_30 + FROM store_sales, + household_demographics, + time_dim, + store + WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 12 + AND time_dim.t_minute < 30 + AND ((household_demographics.hd_dep_count = 3 + AND household_demographics.hd_vehicle_count<=3+2) + OR (household_demographics.hd_dep_count = 0 + AND household_demographics.hd_vehicle_count<=0+2) + OR (household_demographics.hd_dep_count = 1 + AND household_demographics.hd_vehicle_count<=1+2)) + AND store.s_store_name = 'ese') s8 ; diff --git a/TPC-DS/queries/query89.sql b/TPC-DS/queries/query89.sql index 56e429b4115358002dcc6f3f8b6202a1e0600d76..b56c52ab24f786c2fe53720d377b8f326fccc344 100644 --- a/TPC-DS/queries/query89.sql +++ b/TPC-DS/queries/query89.sql @@ -1,25 +1,43 @@ -select * -from( -select i_category, i_class, i_brand, - s_store_name, s_company_name, - d_moy, - sum(ss_sales_price) sum_sales, - avg(sum(ss_sales_price)) over - (partition by i_category, i_brand, s_store_name, s_company_name) - avg_monthly_sales -from item, store_sales, date_dim, store -where ss_item_sk = i_item_sk and - ss_sold_date_sk = d_date_sk and - ss_store_sk = s_store_sk and - d_year in (2000) and - ((i_category in ('Home','Books','Electronics') and - i_class in ('wallpaper','parenting','musical') - ) - or (i_category in ('Shoes','Jewelry','Men') and - i_class in ('womens','birdal','pants') - )) -group by i_category, i_class, i_brand, - s_store_name, s_company_name, d_moy) tmp1 -where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end > 0.1 -order by sum_sales - avg_monthly_sales, s_store_name -limit 100; +SELECT * +FROM + (SELECT i_category, + i_class, + i_brand, + s_store_name, + s_company_name, + d_moy, + sum(ss_sales_price) sum_sales, + avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name) avg_monthly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_year IN (2000) + AND ((i_category IN ('Home', + 'Books', + 'Electronics') + AND i_class IN ('wallpaper', + 'parenting', + 'musical')) + OR (i_category IN ('Shoes', + 'Jewelry', + 'Men') + AND i_class IN ('womens', + 'birdal', + 'pants'))) + GROUP BY i_category, + i_class, + i_brand, + s_store_name, + s_company_name, + d_moy) tmp1 +WHERE CASE + WHEN (avg_monthly_sales <> 0) THEN (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + s_store_name +LIMIT 100; diff --git a/TPC-DS/queries/query9.sql b/TPC-DS/queries/query9.sql index 22833adfb3d0b0d7aad4e8d0e4f773b86a922bb8..47a40b644ffbac72e9ba9ba8bc7f23151349fe4d 100644 --- a/TPC-DS/queries/query9.sql +++ b/TPC-DS/queries/query9.sql @@ -1,48 +1,67 @@ -select case when (select count(*) - from store_sales - where ss_quantity between 1 and 20) > 25437 - then (select avg(ss_ext_discount_amt) - from store_sales - where ss_quantity between 1 and 20) - else (select avg(ss_net_profit) - from store_sales - where ss_quantity between 1 and 20) end bucket1 , - case when (select count(*) - from store_sales - where ss_quantity between 21 and 40) > 22746 - then (select avg(ss_ext_discount_amt) - from store_sales - where ss_quantity between 21 and 40) - else (select avg(ss_net_profit) - from store_sales - where ss_quantity between 21 and 40) end bucket2, - case when (select count(*) - from store_sales - where ss_quantity between 41 and 60) > 9387 - then (select avg(ss_ext_discount_amt) - from store_sales - where ss_quantity between 41 and 60) - else (select avg(ss_net_profit) - from store_sales - where ss_quantity between 41 and 60) end bucket3, - case when (select count(*) - from store_sales - where ss_quantity between 61 and 80) > 10098 - then (select avg(ss_ext_discount_amt) - from store_sales - where ss_quantity between 61 and 80) - else (select avg(ss_net_profit) - from store_sales - where ss_quantity between 61 and 80) end bucket4, - case when (select count(*) - from store_sales - where ss_quantity between 81 and 100) > 18213 - then (select avg(ss_ext_discount_amt) - from store_sales - where ss_quantity between 81 and 100) - else (select avg(ss_net_profit) - from store_sales - where ss_quantity between 81 and 100) end bucket5 -from reason -where r_reason_sk = 1 -; +SELECT CASE + WHEN + (SELECT count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) > 25437 THEN + (SELECT avg(ss_ext_discount_amt) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) + ELSE + (SELECT avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) + END bucket1, + CASE + WHEN + (SELECT count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) > 22746 THEN + (SELECT avg(ss_ext_discount_amt) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) + ELSE + (SELECT avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) + END bucket2, + CASE + WHEN + (SELECT count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) > 9387 THEN + (SELECT avg(ss_ext_discount_amt) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) + ELSE + (SELECT avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) + END bucket3, + CASE + WHEN + (SELECT count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) > 10098 THEN + (SELECT avg(ss_ext_discount_amt) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) + ELSE + (SELECT avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) + END bucket4, + CASE + WHEN + (SELECT count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) > 18213 THEN + (SELECT avg(ss_ext_discount_amt) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) + ELSE + (SELECT avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) + END bucket5 +FROM reason +WHERE r_reason_sk = 1 ; diff --git a/TPC-DS/queries/query90.sql b/TPC-DS/queries/query90.sql index 8f2fcfeb382639f495ddbe691d91c7e7bf065b01..92ef77e25335b9646004ff29a43270c05c8ba4fe 100644 --- a/TPC-DS/queries/query90.sql +++ b/TPC-DS/queries/query90.sql @@ -1,19 +1,27 @@ -select cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio - from ( select count(*) amc - from web_sales, household_demographics , time_dim, web_page - where ws_sold_time_sk = time_dim.t_time_sk - and ws_ship_hdemo_sk = household_demographics.hd_demo_sk - and ws_web_page_sk = web_page.wp_web_page_sk - and time_dim.t_hour between 6 and 6+1 - and household_demographics.hd_dep_count = 8 - and web_page.wp_char_count between 5000 and 5200) at, - ( select count(*) pmc - from web_sales, household_demographics , time_dim, web_page - where ws_sold_time_sk = time_dim.t_time_sk - and ws_ship_hdemo_sk = household_demographics.hd_demo_sk - and ws_web_page_sk = web_page.wp_web_page_sk - and time_dim.t_hour between 14 and 14+1 - and household_demographics.hd_dep_count = 8 - and web_page.wp_char_count between 5000 and 5200) pt - order by am_pm_ratio - limit 100; +SELECT cast(amc AS decimal(15, 4))/cast(pmc AS decimal(15, 4)) am_pm_ratio +FROM + (SELECT count(*) amc + FROM web_sales, + household_demographics, + time_dim, + web_page + WHERE ws_sold_time_sk = time_dim.t_time_sk + AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk + AND ws_web_page_sk = web_page.wp_web_page_sk + AND time_dim.t_hour BETWEEN 6 AND 6+1 + AND household_demographics.hd_dep_count = 8 + AND web_page.wp_char_count BETWEEN 5000 AND 5200) AT, + + (SELECT count(*) pmc + FROM web_sales, + household_demographics, + time_dim, + web_page + WHERE ws_sold_time_sk = time_dim.t_time_sk + AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk + AND ws_web_page_sk = web_page.wp_web_page_sk + AND time_dim.t_hour BETWEEN 14 AND 14+1 + AND household_demographics.hd_dep_count = 8 + AND web_page.wp_char_count BETWEEN 5000 AND 5200) pt +ORDER BY am_pm_ratio +LIMIT 100; diff --git a/TPC-DS/queries/query91.sql b/TPC-DS/queries/query91.sql index 96a04d243df22578bae10cf3b2146b321234ea17..36810c38d00942d346a1b4742f430b3b0fcae929 100644 --- a/TPC-DS/queries/query91.sql +++ b/TPC-DS/queries/query91.sql @@ -1,28 +1,30 @@ -select - cc_call_center_id Call_Center, - cc_name Call_Center_Name, - cc_manager Manager, - sum(cr_net_loss) Returns_Loss -from - call_center, - catalog_returns, - date_dim, - customer, - customer_address, - customer_demographics, - household_demographics -where - cr_call_center_sk = cc_call_center_sk -and cr_returned_date_sk = d_date_sk -and cr_returning_customer_sk= c_customer_sk -and cd_demo_sk = c_current_cdemo_sk -and hd_demo_sk = c_current_hdemo_sk -and ca_address_sk = c_current_addr_sk -and d_year = 1999 -and d_moy = 11 -and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown') - or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree')) -and hd_buy_potential like '0-500%' -and ca_gmt_offset = -7 -group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status -order by sum(cr_net_loss) desc; +SELECT cc_call_center_id Call_Center, + cc_name Call_Center_Name, + cc_manager Manager, + sum(cr_net_loss) Returns_Loss +FROM call_center, + catalog_returns, + date_dim, + customer, + customer_address, + customer_demographics, + household_demographics +WHERE cr_call_center_sk = cc_call_center_sk + AND cr_returned_date_sk = d_date_sk + AND cr_returning_customer_sk= c_customer_sk + AND cd_demo_sk = c_current_cdemo_sk + AND hd_demo_sk = c_current_hdemo_sk + AND ca_address_sk = c_current_addr_sk + AND d_year = 1999 + AND d_moy = 11 + AND ((cd_marital_status = 'M' + AND cd_education_status = 'Unknown') or(cd_marital_status = 'W' + AND cd_education_status = 'Advanced Degree')) + AND hd_buy_potential like '0-500%' + AND ca_gmt_offset = -7 +GROUP BY cc_call_center_id, + cc_name, + cc_manager, + cd_marital_status, + cd_education_status +ORDER BY sum(cr_net_loss) DESC; diff --git a/TPC-DS/queries/query92.sql b/TPC-DS/queries/query92.sql index 8482a49875d203c5c355aed49f04c7284cff71b9..a88c9e07db346b2d56d79ae0edde8614aaedb14e 100644 --- a/TPC-DS/queries/query92.sql +++ b/TPC-DS/queries/query92.sql @@ -1,27 +1,17 @@ -select - sum(ws_ext_discount_amt) as "Excess Discount Amount" -from - web_sales - ,item - ,date_dim -where -i_manufact_id = 269 -and i_item_sk = ws_item_sk -and d_date between '1998-03-18' and - (cast('1998-03-18' as date) + 90 days) -and d_date_sk = ws_sold_date_sk -and ws_ext_discount_amt - > ( - SELECT - 1.3 * avg(ws_ext_discount_amt) - FROM - web_sales - ,date_dim - WHERE - ws_item_sk = i_item_sk - and d_date between '1998-03-18' and - (cast('1998-03-18' as date) + 90 days) - and d_date_sk = ws_sold_date_sk - ) -order by sum(ws_ext_discount_amt) -limit 100; +SELECT sum(ws_ext_discount_amt) AS "Excess Discount Amount" +FROM web_sales , + item , + date_dim +WHERE i_manufact_id = 269 + AND i_item_sk = ws_item_sk + AND d_date BETWEEN '1998-03-18' AND (cast('1998-03-18' AS date) + 90 days) + AND d_date_sk = ws_sold_date_sk + AND ws_ext_discount_amt > + (SELECT 1.3 * avg(ws_ext_discount_amt) + FROM web_sales , + date_dim + WHERE ws_item_sk = i_item_sk + AND d_date BETWEEN '1998-03-18' AND (cast('1998-03-18' AS date) + 90 days) + AND d_date_sk = ws_sold_date_sk) +ORDER BY sum(ws_ext_discount_amt) +LIMIT 100; diff --git a/TPC-DS/queries/query93.sql b/TPC-DS/queries/query93.sql index f0beb12da05e83dfda91b0f8f9ca82d7d01dcf87..ccec75f230b57a450476d0283ed0ded538a4c88c 100644 --- a/TPC-DS/queries/query93.sql +++ b/TPC-DS/queries/query93.sql @@ -1,15 +1,19 @@ -select ss_customer_sk - ,sum(act_sales) sumsales - from (select ss_item_sk - ,ss_ticket_number - ,ss_customer_sk - ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price - else (ss_quantity*ss_sales_price) end act_sales - from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk - and sr_ticket_number = ss_ticket_number) - ,reason - where sr_reason_sk = r_reason_sk - and r_reason_desc = 'Did not like the warranty') t - group by ss_customer_sk - order by sumsales, ss_customer_sk -limit 100; +SELECT ss_customer_sk , + sum(act_sales) sumsales +FROM + (SELECT ss_item_sk , + ss_ticket_number , + ss_customer_sk , + CASE + WHEN sr_return_quantity IS NOT NULL THEN (ss_quantity-sr_return_quantity)*ss_sales_price + ELSE (ss_quantity*ss_sales_price) + END act_sales + FROM store_sales + LEFT OUTER JOIN store_returns ON (sr_item_sk = ss_item_sk + AND sr_ticket_number = ss_ticket_number) ,reason + WHERE sr_reason_sk = r_reason_sk + AND r_reason_desc = 'Did not like the warranty') t +GROUP BY ss_customer_sk +ORDER BY sumsales, + ss_customer_sk +LIMIT 100; diff --git a/TPC-DS/queries/query94.sql b/TPC-DS/queries/query94.sql index e9caa96ec7b41ae51394c0a8659706bfaf58ad76..dc10638d818bcdba4323ecda50b682682065fa60 100644 --- a/TPC-DS/queries/query94.sql +++ b/TPC-DS/queries/query94.sql @@ -1,26 +1,24 @@ -select - count(distinct ws_order_number) as "order count" - ,sum(ws_ext_ship_cost) as "total shipping cost" - ,sum(ws_net_profit) as "total net profit" -from - web_sales ws1 - ,date_dim - ,customer_address - ,web_site -where - d_date between '1999-5-01' and - (cast('1999-5-01' as date) + 60 days) -and ws1.ws_ship_date_sk = d_date_sk -and ws1.ws_ship_addr_sk = ca_address_sk -and ca_state = 'TX' -and ws1.ws_web_site_sk = web_site_sk -and web_company_name = 'pri' -and exists (select * - from web_sales ws2 - where ws1.ws_order_number = ws2.ws_order_number - and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) -and not exists(select * - from web_returns wr1 - where ws1.ws_order_number = wr1.wr_order_number) -order by count(distinct ws_order_number) -limit 100; +SELECT count(DISTINCT ws_order_number) AS "order count" , + sum(ws_ext_ship_cost) AS "total shipping cost" , + sum(ws_net_profit) AS "total net profit" +FROM web_sales ws1 , + date_dim , + customer_address , + web_site +WHERE d_date BETWEEN '1999-5-01' AND (cast('1999-5-01' AS date) + 60 days) + AND ws1.ws_ship_date_sk = d_date_sk + AND ws1.ws_ship_addr_sk = ca_address_sk + AND ca_state = 'TX' + AND ws1.ws_web_site_sk = web_site_sk + AND web_company_name = 'pri' + AND EXISTS + (SELECT * + FROM web_sales ws2 + WHERE ws1.ws_order_number = ws2.ws_order_number + AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) + AND NOT exists + (SELECT * + FROM web_returns wr1 + WHERE ws1.ws_order_number = wr1.wr_order_number) +ORDER BY count(DISTINCT ws_order_number) +LIMIT 100; diff --git a/TPC-DS/queries/query95.sql b/TPC-DS/queries/query95.sql index 50d52d81e2e083b86e4f546b90535f9e598ec9db..f9f14640b65f36c1c3ee4c1aec08c12c5ea3f793 100644 --- a/TPC-DS/queries/query95.sql +++ b/TPC-DS/queries/query95.sql @@ -1,29 +1,31 @@ -with ws_wh as -(select ws1.ws_order_number,ws1.ws_warehouse_sk wh1,ws2.ws_warehouse_sk wh2 - from web_sales ws1,web_sales ws2 - where ws1.ws_order_number = ws2.ws_order_number - and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) - select - count(distinct ws_order_number) as "order count" - ,sum(ws_ext_ship_cost) as "total shipping cost" - ,sum(ws_net_profit) as "total net profit" -from - web_sales ws1 - ,date_dim - ,customer_address - ,web_site -where - d_date between '1999-5-01' and - (cast('1999-5-01' as date) + 60 days) -and ws1.ws_ship_date_sk = d_date_sk -and ws1.ws_ship_addr_sk = ca_address_sk -and ca_state = 'TX' -and ws1.ws_web_site_sk = web_site_sk -and web_company_name = 'pri' -and ws1.ws_order_number in (select ws_order_number - from ws_wh) -and ws1.ws_order_number in (select wr_order_number - from web_returns,ws_wh - where wr_order_number = ws_wh.ws_order_number) -order by count(distinct ws_order_number) -limit 100; +WITH ws_wh AS + (SELECT ws1.ws_order_number, + ws1.ws_warehouse_sk wh1, + ws2.ws_warehouse_sk wh2 + FROM web_sales ws1, + web_sales ws2 + WHERE ws1.ws_order_number = ws2.ws_order_number + AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) +SELECT count(DISTINCT ws_order_number) AS "order count" , + sum(ws_ext_ship_cost) AS "total shipping cost" , + sum(ws_net_profit) AS "total net profit" +FROM web_sales ws1 , + date_dim , + customer_address , + web_site +WHERE d_date BETWEEN '1999-5-01' AND (cast('1999-5-01' AS date) + 60 days) + AND ws1.ws_ship_date_sk = d_date_sk + AND ws1.ws_ship_addr_sk = ca_address_sk + AND ca_state = 'TX' + AND ws1.ws_web_site_sk = web_site_sk + AND web_company_name = 'pri' + AND ws1.ws_order_number IN + (SELECT ws_order_number + FROM ws_wh) + AND ws1.ws_order_number IN + (SELECT wr_order_number + FROM web_returns, + ws_wh + WHERE wr_order_number = ws_wh.ws_order_number) +ORDER BY count(DISTINCT ws_order_number) +LIMIT 100; diff --git a/TPC-DS/queries/query96.sql b/TPC-DS/queries/query96.sql index 39358d3716dfe76c6b0041ed92acde9c8fdaba2d..3ac0093924632039873c75cf7c6d5f75fd0ee929 100644 --- a/TPC-DS/queries/query96.sql +++ b/TPC-DS/queries/query96.sql @@ -1,13 +1,14 @@ -select count(*) -from store_sales - ,household_demographics - ,time_dim, store -where ss_sold_time_sk = time_dim.t_time_sk - and ss_hdemo_sk = household_demographics.hd_demo_sk - and ss_store_sk = s_store_sk - and time_dim.t_hour = 8 - and time_dim.t_minute >= 30 - and household_demographics.hd_dep_count = 5 - and store.s_store_name = 'ese' -order by count(*) -limit 100; +SELECT count(*) +FROM store_sales , + household_demographics , + time_dim, + store +WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 8 + AND time_dim.t_minute >= 30 + AND household_demographics.hd_dep_count = 5 + AND store.s_store_name = 'ese' +ORDER BY count(*) +LIMIT 100; diff --git a/TPC-DS/queries/query97.sql b/TPC-DS/queries/query97.sql index cf6ed8052b726b7df1306488e4f67e96ba021929..057ace7057c2b209945405d6b8af1a7f793e47aa 100644 --- a/TPC-DS/queries/query97.sql +++ b/TPC-DS/queries/query97.sql @@ -1,22 +1,37 @@ -with ssci as ( -select ss_customer_sk customer_sk - ,ss_item_sk item_sk -from store_sales,date_dim -where ss_sold_date_sk = d_date_sk - and d_month_seq between 1212 and 1212 + 11 -group by ss_customer_sk - ,ss_item_sk), -csci as( - select cs_bill_customer_sk customer_sk - ,cs_item_sk item_sk -from catalog_sales,date_dim -where cs_sold_date_sk = d_date_sk - and d_month_seq between 1212 and 1212 + 11 -group by cs_bill_customer_sk - ,cs_item_sk) - select sum(case when ssci.customer_sk is not null and csci.customer_sk is null then 1 else 0 end) store_only - ,sum(case when ssci.customer_sk is null and csci.customer_sk is not null then 1 else 0 end) catalog_only - ,sum(case when ssci.customer_sk is not null and csci.customer_sk is not null then 1 else 0 end) store_and_catalog -from ssci full outer join csci on (ssci.customer_sk=csci.customer_sk - and ssci.item_sk = csci.item_sk) -limit 100; +WITH ssci AS + (SELECT ss_customer_sk customer_sk , + ss_item_sk item_sk + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1212 AND 1212 + 11 + GROUP BY ss_customer_sk , + ss_item_sk), + csci AS + (SELECT cs_bill_customer_sk customer_sk , + cs_item_sk item_sk + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1212 AND 1212 + 11 + GROUP BY cs_bill_customer_sk , + cs_item_sk) +SELECT sum(CASE + WHEN ssci.customer_sk IS NOT NULL + AND csci.customer_sk IS NULL THEN 1 + ELSE 0 + END) store_only , + sum(CASE + WHEN ssci.customer_sk IS NULL + AND csci.customer_sk IS NOT NULL THEN 1 + ELSE 0 + END) catalog_only , + sum(CASE + WHEN ssci.customer_sk IS NOT NULL + AND csci.customer_sk IS NOT NULL THEN 1 + ELSE 0 + END) store_and_catalog +FROM ssci +FULL OUTER JOIN csci ON (ssci.customer_sk=csci.customer_sk + AND ssci.item_sk = csci.item_sk) +LIMIT 100; diff --git a/TPC-DS/queries/query98.sql b/TPC-DS/queries/query98.sql index 560e3d06c08622f0c37acc671edda7062d70f505..89c157fc93d685b19bcd18dd2ec49cdf417c128c 100644 --- a/TPC-DS/queries/query98.sql +++ b/TPC-DS/queries/query98.sql @@ -1,30 +1,26 @@ -select i_item_id - ,i_item_desc - ,i_category - ,i_class - ,i_current_price - ,sum(ss_ext_sales_price) as itemrevenue - ,sum(ss_ext_sales_price)*100/sum(sum(ss_ext_sales_price)) over - (partition by i_class) as revenueratio -from - store_sales - ,item - ,date_dim -where - ss_item_sk = i_item_sk - and i_category in ('Jewelry', 'Sports', 'Books') - and ss_sold_date_sk = d_date_sk - and d_date between cast('2001-01-12' as date) - and (cast('2001-01-12' as date) + 30 days) -group by - i_item_id - ,i_item_desc - ,i_category - ,i_class - ,i_current_price -order by - i_category - ,i_class - ,i_item_id - ,i_item_desc - ,revenueratio; +SELECT i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + sum(ss_ext_sales_price) AS itemrevenue , + sum(ss_ext_sales_price)*100/sum(sum(ss_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio +FROM store_sales , + item , + date_dim +WHERE ss_item_sk = i_item_sk + AND i_category IN ('Jewelry', + 'Sports', + 'Books') + AND ss_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-01-12' AS date) AND (cast('2001-01-12' AS date) + 30 days) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio; diff --git a/TPC-DS/queries/query99.sql b/TPC-DS/queries/query99.sql index 43886114d753b731e0219c0cda8afee51546fd6d..88474e8cced5e6d3ac94627ec8bf6adc799d8035 100644 --- a/TPC-DS/queries/query99.sql +++ b/TPC-DS/queries/query99.sql @@ -1,32 +1,43 @@ -select - substr(w_warehouse_name,1,20) - ,sm_type - ,cc_name - ,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days" - ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and - (cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days" - ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and - (cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days" - ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and - (cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days" - ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 120) then 1 else 0 end) as ">120 days" -from - catalog_sales - ,warehouse - ,ship_mode - ,call_center - ,date_dim -where - d_month_seq between 1212 and 1212 + 11 -and cs_ship_date_sk = d_date_sk -and cs_warehouse_sk = w_warehouse_sk -and cs_ship_mode_sk = sm_ship_mode_sk -and cs_call_center_sk = cc_call_center_sk -group by - substr(w_warehouse_name,1,20) - ,sm_type - ,cc_name -order by substr(w_warehouse_name,1,20) - ,sm_type - ,cc_name -limit 100; +SELECT substr(w_warehouse_name, 1, 20) , + sm_type , + cc_name , + sum(CASE + WHEN (cs_ship_date_sk - cs_sold_date_sk <= 30) THEN 1 + ELSE 0 + END) AS "30 days" , + sum(CASE + WHEN (cs_ship_date_sk - cs_sold_date_sk > 30) + AND (cs_ship_date_sk - cs_sold_date_sk <= 60) THEN 1 + ELSE 0 + END) AS "31-60 days" , + sum(CASE + WHEN (cs_ship_date_sk - cs_sold_date_sk > 60) + AND (cs_ship_date_sk - cs_sold_date_sk <= 90) THEN 1 + ELSE 0 + END) AS "61-90 days" , + sum(CASE + WHEN (cs_ship_date_sk - cs_sold_date_sk > 90) + AND (cs_ship_date_sk - cs_sold_date_sk <= 120) THEN 1 + ELSE 0 + END) AS "91-120 days" , + sum(CASE + WHEN (cs_ship_date_sk - cs_sold_date_sk > 120) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM catalog_sales , + warehouse , + ship_mode , + call_center , + date_dim +WHERE d_month_seq BETWEEN 1212 AND 1212 + 11 + AND cs_ship_date_sk = d_date_sk + AND cs_warehouse_sk = w_warehouse_sk + AND cs_ship_mode_sk = sm_ship_mode_sk + AND cs_call_center_sk = cc_call_center_sk +GROUP BY substr(w_warehouse_name, 1, 20) , + sm_type , + cc_name +ORDER BY substr(w_warehouse_name, 1, 20) , + sm_type , + cc_name +LIMIT 100; diff --git a/TPC-H/queries/query_1.sql b/TPC-H/queries/query_1.sql index 207b0aa300b522949484c4b8989e66ef21fd8b01..95f22023ce8c3e67f15e25ed28be7ee5b6ca2bda 100644 --- a/TPC-H/queries/query_1.sql +++ b/TPC-H/queries/query_1.sql @@ -1,25 +1,21 @@ -- using default substitutions +SELECT l_returnflag, + l_linestatus, + sum(l_quantity) AS sum_qty, + sum(l_extendedprice) AS sum_base_price, + sum(l_extendedprice * (1 - l_discount)) AS sum_disc_price, + sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, + avg(l_quantity) AS avg_qty, + avg(l_extendedprice) AS avg_price, + avg(l_discount) AS avg_disc, + count(*) AS count_order +FROM lineitem +WHERE l_shipdate <= date '1998-12-01' - interval '90' DAY (3) +GROUP BY l_returnflag, + l_linestatus +ORDER BY l_returnflag, + l_linestatus; -select - l_returnflag, - l_linestatus, - sum(l_quantity) as sum_qty, - sum(l_extendedprice) as sum_base_price, - sum(l_extendedprice * (1 - l_discount)) as sum_disc_price, - sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge, - avg(l_quantity) as avg_qty, - avg(l_extendedprice) as avg_price, - avg(l_discount) as avg_disc, - count(*) as count_order -from - lineitem -where - l_shipdate <= date '1998-12-01' - interval '90' day (3) -group by - l_returnflag, - l_linestatus -order by - l_returnflag, - l_linestatus; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_10.sql b/TPC-H/queries/query_10.sql index ff96714c29dbd84da740685f4bbf0d989d59b2a3..f824e45f327739cb1aa1f426c7bbd0964bdcc0c7 100644 --- a/TPC-H/queries/query_10.sql +++ b/TPC-H/queries/query_10.sql @@ -1,35 +1,31 @@ -- using default substitutions +SELECT c_custkey, + c_name, + sum(l_extendedprice * (1 - l_discount)) AS revenue, + c_acctbal, + n_name, + c_address, + c_phone, + c_comment +FROM customer, + orders, + lineitem, + nation +WHERE c_custkey = o_custkey + AND l_orderkey = o_orderkey + AND o_orderdate >= date '1993-10-01' + AND o_orderdate < date '1993-10-01' + interval '3' MONTH + AND l_returnflag = 'R' + AND c_nationkey = n_nationkey +GROUP BY c_custkey, + c_name, + c_acctbal, + c_phone, + n_name, + c_address, + c_comment +ORDER BY revenue DESC; -select - c_custkey, - c_name, - sum(l_extendedprice * (1 - l_discount)) as revenue, - c_acctbal, - n_name, - c_address, - c_phone, - c_comment -from - customer, - orders, - lineitem, - nation -where - c_custkey = o_custkey - and l_orderkey = o_orderkey - and o_orderdate >= date '1993-10-01' - and o_orderdate < date '1993-10-01' + interval '3' month - and l_returnflag = 'R' - and c_nationkey = n_nationkey -group by - c_custkey, - c_name, - c_acctbal, - c_phone, - n_name, - c_address, - c_comment -order by - revenue desc; -where rownum <= 20; + +WHERE rownum <= 20; diff --git a/TPC-H/queries/query_11.sql b/TPC-H/queries/query_11.sql index 7c6ce12d8298199ed47d0701f4cedfd56e80a4b9..21cdb6c0dd74e73515dad16ef023ff32556429cd 100644 --- a/TPC-H/queries/query_11.sql +++ b/TPC-H/queries/query_11.sql @@ -1,31 +1,23 @@ -- using default substitutions +SELECT ps_partkey, + sum(ps_supplycost * ps_availqty) AS value +FROM partsupp, + supplier, + nation +WHERE ps_suppkey = s_suppkey + AND s_nationkey = n_nationkey + AND n_name = 'GERMANY' +GROUP BY ps_partkey +HAVING sum(ps_supplycost * ps_availqty) > + (SELECT sum(ps_supplycost * ps_availqty) * 0.0001000000 + FROM partsupp, + supplier, + nation + WHERE ps_suppkey = s_suppkey + AND s_nationkey = n_nationkey + AND n_name = 'GERMANY') +ORDER BY value DESC; -select - ps_partkey, - sum(ps_supplycost * ps_availqty) as value -from - partsupp, - supplier, - nation -where - ps_suppkey = s_suppkey - and s_nationkey = n_nationkey - and n_name = 'GERMANY' -group by - ps_partkey having - sum(ps_supplycost * ps_availqty) > ( - select - sum(ps_supplycost * ps_availqty) * 0.0001000000 - from - partsupp, - supplier, - nation - where - ps_suppkey = s_suppkey - and s_nationkey = n_nationkey - and n_name = 'GERMANY' - ) -order by - value desc; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_12.sql b/TPC-H/queries/query_12.sql index 31b692ff348f8aeb22eee30b7190a389453679e3..e00631b30905b472897d65df77646f4c8a360049 100644 --- a/TPC-H/queries/query_12.sql +++ b/TPC-H/queries/query_12.sql @@ -1,32 +1,27 @@ -- using default substitutions +SELECT l_shipmode, + sum(CASE + WHEN o_orderpriority = '1-URGENT' + OR o_orderpriority = '2-HIGH' THEN 1 + ELSE 0 + END) AS high_line_count, + sum(CASE + WHEN o_orderpriority <> '1-URGENT' + AND o_orderpriority <> '2-HIGH' THEN 1 + ELSE 0 + END) AS low_line_count +FROM orders, + lineitem +WHERE o_orderkey = l_orderkey + AND l_shipmode IN ('MAIL', + 'SHIP') + AND l_commitdate < l_receiptdate + AND l_shipdate < l_commitdate + AND l_receiptdate >= date '1994-01-01' + AND l_receiptdate < date '1994-01-01' + interval '1' YEAR +GROUP BY l_shipmode +ORDER BY l_shipmode; -select - l_shipmode, - sum(case - when o_orderpriority = '1-URGENT' - or o_orderpriority = '2-HIGH' - then 1 - else 0 - end) as high_line_count, - sum(case - when o_orderpriority <> '1-URGENT' - and o_orderpriority <> '2-HIGH' - then 1 - else 0 - end) as low_line_count -from - orders, - lineitem -where - o_orderkey = l_orderkey - and l_shipmode in ('MAIL', 'SHIP') - and l_commitdate < l_receiptdate - and l_shipdate < l_commitdate - and l_receiptdate >= date '1994-01-01' - and l_receiptdate < date '1994-01-01' + interval '1' year -group by - l_shipmode -order by - l_shipmode; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_13.sql b/TPC-H/queries/query_13.sql index 6677f3c4961759bb68264672d9d095e249290a7f..535be02af3e59b9e2f37e52f7cd9d10cd416d902 100644 --- a/TPC-H/queries/query_13.sql +++ b/TPC-H/queries/query_13.sql @@ -1,24 +1,17 @@ -- using default substitutions +SELECT c_count, + count(*) AS custdist +FROM + (SELECT c_custkey, + count(o_orderkey) + FROM customer + LEFT OUTER JOIN orders ON c_custkey = o_custkey + AND o_comment not like '%special%requests%' + GROUP BY c_custkey) AS c_orders (c_custkey, c_count) +GROUP BY c_count +ORDER BY custdist DESC, + c_count DESC; -select - c_count, - count(*) as custdist -from - ( - select - c_custkey, - count(o_orderkey) - from - customer left outer join orders on - c_custkey = o_custkey - and o_comment not like '%special%requests%' - group by - c_custkey - ) as c_orders (c_custkey, c_count) -group by - c_count -order by - custdist desc, - c_count desc; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_14.sql b/TPC-H/queries/query_14.sql index a2d3af6e56cff37accd961f55e7e7067b9dda16a..e1db5829c44928398e636b1ea8570949667c1834 100644 --- a/TPC-H/queries/query_14.sql +++ b/TPC-H/queries/query_14.sql @@ -1,17 +1,14 @@ -- using default substitutions +SELECT 100.00 * sum(CASE + WHEN p_type like 'PROMO%' THEN l_extendedprice * (1 - l_discount) + ELSE 0 + END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue +FROM lineitem, + part +WHERE l_partkey = p_partkey + AND l_shipdate >= date '1995-09-01' + AND l_shipdate < date '1995-09-01' + interval '1' MONTH; -select - 100.00 * sum(case - when p_type like 'PROMO%' - then l_extendedprice * (1 - l_discount) - else 0 - end) / sum(l_extendedprice * (1 - l_discount)) as promo_revenue -from - lineitem, - part -where - l_partkey = p_partkey - and l_shipdate >= date '1995-09-01' - and l_shipdate < date '1995-09-01' + interval '1' month; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_15.sql b/TPC-H/queries/query_15.sql index d1ebc608afae650090a34739e77dcbb8a256e812..c91c8e33d42439294375690c3cf394bc6da74379 100644 --- a/TPC-H/queries/query_15.sql +++ b/TPC-H/queries/query_15.sql @@ -1,37 +1,29 @@ -- using default substitutions -create view revenue0 (supplier_no, total_revenue) as - select - l_suppkey, - sum(l_extendedprice * (1 - l_discount)) - from - lineitem - where - l_shipdate >= date '1996-01-01' - and l_shipdate < date '1996-01-01' + interval '3' month - group by - l_suppkey; +CREATE VIEW revenue0 (supplier_no, total_revenue) AS +SELECT l_suppkey, + sum(l_extendedprice * (1 - l_discount)) +FROM lineitem +WHERE l_shipdate >= date '1996-01-01' + AND l_shipdate < date '1996-01-01' + interval '3' MONTH +GROUP BY l_suppkey; -select - s_suppkey, - s_name, - s_address, - s_phone, - total_revenue -from - supplier, - revenue0 -where - s_suppkey = supplier_no - and total_revenue = ( - select - max(total_revenue) - from - revenue0 - ) -order by - s_suppkey; +SELECT s_suppkey, + s_name, + s_address, + s_phone, + total_revenue +FROM supplier, + revenue0 +WHERE s_suppkey = supplier_no + AND total_revenue = + (SELECT max(total_revenue) + FROM revenue0) +ORDER BY s_suppkey; -drop view revenue0; -where rownum <= -1; + +DROP VIEW revenue0; + + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_16.sql b/TPC-H/queries/query_16.sql index c84fa9ba70510a06759f05690708515ed6b51196..1db2f417804b95c7c3c2f1320cfcdbfa055d3226 100644 --- a/TPC-H/queries/query_16.sql +++ b/TPC-H/queries/query_16.sql @@ -1,34 +1,33 @@ -- using default substitutions +SELECT p_brand, + p_type, + p_size, + count(DISTINCT ps_suppkey) AS supplier_cnt +FROM partsupp, + part +WHERE p_partkey = ps_partkey + AND p_brand <> 'Brand#45' + AND p_type not like 'MEDIUM POLISHED%' + AND p_size IN (49, + 14, + 23, + 45, + 19, + 3, + 36, + 9) + AND ps_suppkey NOT IN + (SELECT s_suppkey + FROM supplier + WHERE s_comment like '%Customer%Complaints%') +GROUP BY p_brand, + p_type, + p_size +ORDER BY supplier_cnt DESC, + p_brand, + p_type, + p_size; -select - p_brand, - p_type, - p_size, - count(distinct ps_suppkey) as supplier_cnt -from - partsupp, - part -where - p_partkey = ps_partkey - and p_brand <> 'Brand#45' - and p_type not like 'MEDIUM POLISHED%' - and p_size in (49, 14, 23, 45, 19, 3, 36, 9) - and ps_suppkey not in ( - select - s_suppkey - from - supplier - where - s_comment like '%Customer%Complaints%' - ) -group by - p_brand, - p_type, - p_size -order by - supplier_cnt desc, - p_brand, - p_type, - p_size; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_17.sql b/TPC-H/queries/query_17.sql index c0a979e141b0371820ae5ebc76c2a600d917be98..32398acd3e4955e9a528999081c49b487a2cc061 100644 --- a/TPC-H/queries/query_17.sql +++ b/TPC-H/queries/query_17.sql @@ -1,21 +1,15 @@ -- using default substitutions +SELECT sum(l_extendedprice) / 7.0 AS avg_yearly +FROM lineitem, + part +WHERE p_partkey = l_partkey + AND p_brand = 'Brand#23' + AND p_container = 'MED BOX' + AND l_quantity < + (SELECT 0.2 * avg(l_quantity) + FROM lineitem + WHERE l_partkey = p_partkey); -select - sum(l_extendedprice) / 7.0 as avg_yearly -from - lineitem, - part -where - p_partkey = l_partkey - and p_brand = 'Brand#23' - and p_container = 'MED BOX' - and l_quantity < ( - select - 0.2 * avg(l_quantity) - from - lineitem - where - l_partkey = p_partkey - ); -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_18.sql b/TPC-H/queries/query_18.sql index 324186dc57ee9ae0bde9a52a5210c8c33ff57268..6210a06832e36841ead5be94bea76fc2a05d212b 100644 --- a/TPC-H/queries/query_18.sql +++ b/TPC-H/queries/query_18.sql @@ -1,36 +1,28 @@ -- using default substitutions +SELECT c_name, + c_custkey, + o_orderkey, + o_orderdate, + o_totalprice, + sum(l_quantity) +FROM customer, + orders, + lineitem +WHERE o_orderkey IN + (SELECT l_orderkey + FROM lineitem + GROUP BY l_orderkey + HAVING sum(l_quantity) > 300) + AND c_custkey = o_custkey + AND o_orderkey = l_orderkey +GROUP BY c_name, + c_custkey, + o_orderkey, + o_orderdate, + o_totalprice +ORDER BY o_totalprice DESC, + o_orderdate; -select - c_name, - c_custkey, - o_orderkey, - o_orderdate, - o_totalprice, - sum(l_quantity) -from - customer, - orders, - lineitem -where - o_orderkey in ( - select - l_orderkey - from - lineitem - group by - l_orderkey having - sum(l_quantity) > 300 - ) - and c_custkey = o_custkey - and o_orderkey = l_orderkey -group by - c_name, - c_custkey, - o_orderkey, - o_orderdate, - o_totalprice -order by - o_totalprice desc, - o_orderdate; -where rownum <= 100; + +WHERE rownum <= 100; diff --git a/TPC-H/queries/query_19.sql b/TPC-H/queries/query_19.sql index c9686660effd70d8c837f897184c12cbcf8efbd1..c14648b1550d6776d7bbb35d66b21b1f40e3df49 100644 --- a/TPC-H/queries/query_19.sql +++ b/TPC-H/queries/query_19.sql @@ -1,39 +1,44 @@ -- using default substitutions +SELECT sum(l_extendedprice* (1 - l_discount)) AS revenue +FROM lineitem, + part +WHERE (p_partkey = l_partkey + AND p_brand = 'Brand#12' + AND p_container IN ('SM CASE', + 'SM BOX', + 'SM PACK', + 'SM PKG') + AND l_quantity >= 1 + AND l_quantity <= 1 + 10 + AND p_size BETWEEN 1 AND 5 + AND l_shipmode IN ('AIR', + 'AIR REG') + AND l_shipinstruct = 'DELIVER IN PERSON') + OR (p_partkey = l_partkey + AND p_brand = 'Brand#23' + AND p_container IN ('MED BAG', + 'MED BOX', + 'MED PKG', + 'MED PACK') + AND l_quantity >= 10 + AND l_quantity <= 10 + 10 + AND p_size BETWEEN 1 AND 10 + AND l_shipmode IN ('AIR', + 'AIR REG') + AND l_shipinstruct = 'DELIVER IN PERSON') + OR (p_partkey = l_partkey + AND p_brand = 'Brand#34' + AND p_container IN ('LG CASE', + 'LG BOX', + 'LG PACK', + 'LG PKG') + AND l_quantity >= 20 + AND l_quantity <= 20 + 10 + AND p_size BETWEEN 1 AND 15 + AND l_shipmode IN ('AIR', + 'AIR REG') + AND l_shipinstruct = 'DELIVER IN PERSON'); -select - sum(l_extendedprice* (1 - l_discount)) as revenue -from - lineitem, - part -where - ( - p_partkey = l_partkey - and p_brand = 'Brand#12' - and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG') - and l_quantity >= 1 and l_quantity <= 1 + 10 - and p_size between 1 and 5 - and l_shipmode in ('AIR', 'AIR REG') - and l_shipinstruct = 'DELIVER IN PERSON' - ) - or - ( - p_partkey = l_partkey - and p_brand = 'Brand#23' - and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK') - and l_quantity >= 10 and l_quantity <= 10 + 10 - and p_size between 1 and 10 - and l_shipmode in ('AIR', 'AIR REG') - and l_shipinstruct = 'DELIVER IN PERSON' - ) - or - ( - p_partkey = l_partkey - and p_brand = 'Brand#34' - and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG') - and l_quantity >= 20 and l_quantity <= 20 + 10 - and p_size between 1 and 15 - and l_shipmode in ('AIR', 'AIR REG') - and l_shipinstruct = 'DELIVER IN PERSON' - ); -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_2.sql b/TPC-H/queries/query_2.sql index 0f03e81918e420dfa6c1954f56c0a677d2dff622..7da4bd006c797a724b32ba4f036bc492cfbe23b0 100644 --- a/TPC-H/queries/query_2.sql +++ b/TPC-H/queries/query_2.sql @@ -1,47 +1,40 @@ -- using default substitutions +SELECT s_acctbal, + s_name, + n_name, + p_partkey, + p_mfgr, + s_address, + s_phone, + s_comment +FROM part, + supplier, + partsupp, + nation, + region +WHERE p_partkey = ps_partkey + AND s_suppkey = ps_suppkey + AND p_size = 15 + AND p_type like '%BRASS' + AND s_nationkey = n_nationkey + AND n_regionkey = r_regionkey + AND r_name = 'EUROPE' + AND ps_supplycost = + (SELECT min(ps_supplycost) + FROM partsupp, + supplier, + nation, + region + WHERE p_partkey = ps_partkey + AND s_suppkey = ps_suppkey + AND s_nationkey = n_nationkey + AND n_regionkey = r_regionkey + AND r_name = 'EUROPE') +ORDER BY s_acctbal DESC, + n_name, + s_name, + p_partkey; -select - s_acctbal, - s_name, - n_name, - p_partkey, - p_mfgr, - s_address, - s_phone, - s_comment -from - part, - supplier, - partsupp, - nation, - region -where - p_partkey = ps_partkey - and s_suppkey = ps_suppkey - and p_size = 15 - and p_type like '%BRASS' - and s_nationkey = n_nationkey - and n_regionkey = r_regionkey - and r_name = 'EUROPE' - and ps_supplycost = ( - select - min(ps_supplycost) - from - partsupp, - supplier, - nation, - region - where - p_partkey = ps_partkey - and s_suppkey = ps_suppkey - and s_nationkey = n_nationkey - and n_regionkey = r_regionkey - and r_name = 'EUROPE' - ) -order by - s_acctbal desc, - n_name, - s_name, - p_partkey; -where rownum <= 100; + +WHERE rownum <= 100; diff --git a/TPC-H/queries/query_20.sql b/TPC-H/queries/query_20.sql index f478f4e9baa8c653ad05ec6f861e9c39585772f9..5b71c87603c1a62d0ec547a76cc2f56e003de4f6 100644 --- a/TPC-H/queries/query_20.sql +++ b/TPC-H/queries/query_20.sql @@ -1,41 +1,26 @@ -- using default substitutions +SELECT s_name, + s_address +FROM supplier, + nation +WHERE s_suppkey IN + (SELECT ps_suppkey + FROM partsupp + WHERE ps_partkey IN + (SELECT p_partkey + FROM part + WHERE p_name like 'forest%') + AND ps_availqty > + (SELECT 0.5 * sum(l_quantity) + FROM lineitem + WHERE l_partkey = ps_partkey + AND l_suppkey = ps_suppkey + AND l_shipdate >= date '1994-01-01' + AND l_shipdate < date '1994-01-01' + interval '1' YEAR)) + AND s_nationkey = n_nationkey + AND n_name = 'CANADA' +ORDER BY s_name; -select - s_name, - s_address -from - supplier, - nation -where - s_suppkey in ( - select - ps_suppkey - from - partsupp - where - ps_partkey in ( - select - p_partkey - from - part - where - p_name like 'forest%' - ) - and ps_availqty > ( - select - 0.5 * sum(l_quantity) - from - lineitem - where - l_partkey = ps_partkey - and l_suppkey = ps_suppkey - and l_shipdate >= date '1994-01-01' - and l_shipdate < date '1994-01-01' + interval '1' year - ) - ) - and s_nationkey = n_nationkey - and n_name = 'CANADA' -order by - s_name; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_21.sql b/TPC-H/queries/query_21.sql index 155471c5970fe93861cc244d511d11309556923d..fdbf5c34062cc27c447126b5ff907cdbb0758243 100644 --- a/TPC-H/queries/query_21.sql +++ b/TPC-H/queries/query_21.sql @@ -1,43 +1,31 @@ -- using default substitutions +SELECT s_name, + count(*) AS numwait +FROM supplier, + lineitem l1, + orders, + nation +WHERE s_suppkey = l1.l_suppkey + AND o_orderkey = l1.l_orderkey + AND o_orderstatus = 'F' + AND l1.l_receiptdate > l1.l_commitdate + AND EXISTS + (SELECT * + FROM lineitem l2 + WHERE l2.l_orderkey = l1.l_orderkey + AND l2.l_suppkey <> l1.l_suppkey) + AND NOT EXISTS + (SELECT * + FROM lineitem l3 + WHERE l3.l_orderkey = l1.l_orderkey + AND l3.l_suppkey <> l1.l_suppkey + AND l3.l_receiptdate > l3.l_commitdate) + AND s_nationkey = n_nationkey + AND n_name = 'SAUDI ARABIA' +GROUP BY s_name +ORDER BY numwait DESC, + s_name; -select - s_name, - count(*) as numwait -from - supplier, - lineitem l1, - orders, - nation -where - s_suppkey = l1.l_suppkey - and o_orderkey = l1.l_orderkey - and o_orderstatus = 'F' - and l1.l_receiptdate > l1.l_commitdate - and exists ( - select - * - from - lineitem l2 - where - l2.l_orderkey = l1.l_orderkey - and l2.l_suppkey <> l1.l_suppkey - ) - and not exists ( - select - * - from - lineitem l3 - where - l3.l_orderkey = l1.l_orderkey - and l3.l_suppkey <> l1.l_suppkey - and l3.l_receiptdate > l3.l_commitdate - ) - and s_nationkey = n_nationkey - and n_name = 'SAUDI ARABIA' -group by - s_name -order by - numwait desc, - s_name; -where rownum <= 100; + +WHERE rownum <= 100; diff --git a/TPC-H/queries/query_22.sql b/TPC-H/queries/query_22.sql index 083611bb07da0244ac8f16c65289ef92483f6a70..de012c96388a7a016cfdea90ac4a7ecf35b97c85 100644 --- a/TPC-H/queries/query_22.sql +++ b/TPC-H/queries/query_22.sql @@ -1,41 +1,42 @@ -- using default substitutions +SELECT cntrycode, + count(*) AS numcust, + sum(c_acctbal) AS totacctbal +FROM + (SELECT substring(c_phone + FROM 1 + FOR 2) AS cntrycode, + c_acctbal + FROM customer + WHERE substring(c_phone + FROM 1 + FOR 2) IN ('13', + '31', + '23', + '29', + '30', + '18', + '17') + AND c_acctbal > + (SELECT avg(c_acctbal) + FROM customer + WHERE c_acctbal > 0.00 + AND substring(c_phone + FROM 1 + FOR 2) IN ('13', + '31', + '23', + '29', + '30', + '18', + '17')) + AND NOT EXISTS + (SELECT * + FROM orders + WHERE o_custkey = c_custkey)) AS custsale +GROUP BY cntrycode +ORDER BY cntrycode; -select - cntrycode, - count(*) as numcust, - sum(c_acctbal) as totacctbal -from - ( - select - substring(c_phone from 1 for 2) as cntrycode, - c_acctbal - from - customer - where - substring(c_phone from 1 for 2) in - ('13', '31', '23', '29', '30', '18', '17') - and c_acctbal > ( - select - avg(c_acctbal) - from - customer - where - c_acctbal > 0.00 - and substring(c_phone from 1 for 2) in - ('13', '31', '23', '29', '30', '18', '17') - ) - and not exists ( - select - * - from - orders - where - o_custkey = c_custkey - ) - ) as custsale -group by - cntrycode -order by - cntrycode; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_3.sql b/TPC-H/queries/query_3.sql index 12a82ed7a3441de96a887d0bb260f51756d0f066..3447d10a39863b93e9d1aa65cf382b2dcc7371df 100644 --- a/TPC-H/queries/query_3.sql +++ b/TPC-H/queries/query_3.sql @@ -1,26 +1,22 @@ -- using default substitutions +SELECT l_orderkey, + sum(l_extendedprice * (1 - l_discount)) AS revenue, + o_orderdate, + o_shippriority +FROM customer, + orders, + lineitem +WHERE c_mktsegment = 'BUILDING' + AND c_custkey = o_custkey + AND l_orderkey = o_orderkey + AND o_orderdate < date '1995-03-15' + AND l_shipdate > date '1995-03-15' +GROUP BY l_orderkey, + o_orderdate, + o_shippriority +ORDER BY revenue DESC, + o_orderdate; -select - l_orderkey, - sum(l_extendedprice * (1 - l_discount)) as revenue, - o_orderdate, - o_shippriority -from - customer, - orders, - lineitem -where - c_mktsegment = 'BUILDING' - and c_custkey = o_custkey - and l_orderkey = o_orderkey - and o_orderdate < date '1995-03-15' - and l_shipdate > date '1995-03-15' -group by - l_orderkey, - o_orderdate, - o_shippriority -order by - revenue desc, - o_orderdate; -where rownum <= 10; + +WHERE rownum <= 10; diff --git a/TPC-H/queries/query_4.sql b/TPC-H/queries/query_4.sql index fa21c97c46d0601cc64ba6f60d8bc0c3671e9fe7..472fdd644fc479ea4be54da6b7450c68dcb2c582 100644 --- a/TPC-H/queries/query_4.sql +++ b/TPC-H/queries/query_4.sql @@ -1,25 +1,17 @@ -- using default substitutions +SELECT o_orderpriority, + count(*) AS order_count +FROM orders +WHERE o_orderdate >= date '1993-07-01' + AND o_orderdate < date '1993-07-01' + interval '3' MONTH + AND EXISTS + (SELECT * + FROM lineitem + WHERE l_orderkey = o_orderkey + AND l_commitdate < l_receiptdate) +GROUP BY o_orderpriority +ORDER BY o_orderpriority; -select - o_orderpriority, - count(*) as order_count -from - orders -where - o_orderdate >= date '1993-07-01' - and o_orderdate < date '1993-07-01' + interval '3' month - and exists ( - select - * - from - lineitem - where - l_orderkey = o_orderkey - and l_commitdate < l_receiptdate - ) -group by - o_orderpriority -order by - o_orderpriority; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_5.sql b/TPC-H/queries/query_5.sql index 9fb50ce08f6ce915a6d1816aed09f5904fa680e0..a4f8dea863e370cbf11c1776c9c272ec808b9baa 100644 --- a/TPC-H/queries/query_5.sql +++ b/TPC-H/queries/query_5.sql @@ -1,28 +1,24 @@ -- using default substitutions +SELECT n_name, + sum(l_extendedprice * (1 - l_discount)) AS revenue +FROM customer, + orders, + lineitem, + supplier, + nation, + region +WHERE c_custkey = o_custkey + AND l_orderkey = o_orderkey + AND l_suppkey = s_suppkey + AND c_nationkey = s_nationkey + AND s_nationkey = n_nationkey + AND n_regionkey = r_regionkey + AND r_name = 'ASIA' + AND o_orderdate >= date '1994-01-01' + AND o_orderdate < date '1994-01-01' + interval '1' YEAR +GROUP BY n_name +ORDER BY revenue DESC; -select - n_name, - sum(l_extendedprice * (1 - l_discount)) as revenue -from - customer, - orders, - lineitem, - supplier, - nation, - region -where - c_custkey = o_custkey - and l_orderkey = o_orderkey - and l_suppkey = s_suppkey - and c_nationkey = s_nationkey - and s_nationkey = n_nationkey - and n_regionkey = r_regionkey - and r_name = 'ASIA' - and o_orderdate >= date '1994-01-01' - and o_orderdate < date '1994-01-01' + interval '1' year -group by - n_name -order by - revenue desc; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_6.sql b/TPC-H/queries/query_6.sql index 60af347739f84bd0ffac750b21ee542f1602e68b..eb11358ea4e275d3319f3cfa639de2e6c42a2127 100644 --- a/TPC-H/queries/query_6.sql +++ b/TPC-H/queries/query_6.sql @@ -1,13 +1,11 @@ -- using default substitutions +SELECT sum(l_extendedprice * l_discount) AS revenue +FROM lineitem +WHERE l_shipdate >= date '1994-01-01' + AND l_shipdate < date '1994-01-01' + interval '1' YEAR + AND l_discount between .06 - 0.01 and .06 + 0.01 + AND l_quantity < 24; -select - sum(l_extendedprice * l_discount) as revenue -from - lineitem -where - l_shipdate >= date '1994-01-01' - and l_shipdate < date '1994-01-01' + interval '1' year - and l_discount between .06 - 0.01 and .06 + 0.01 - and l_quantity < 24; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_7.sql b/TPC-H/queries/query_7.sql index dfb5f94230216f1a4a658e76a6773b074c363445..dfd020f1ea777d54df734738da2ed1c11ff3f1a2 100644 --- a/TPC-H/queries/query_7.sql +++ b/TPC-H/queries/query_7.sql @@ -1,43 +1,37 @@ -- using default substitutions +SELECT supp_nation, + cust_nation, + l_year, + sum(volume) AS revenue +FROM + (SELECT n1.n_name AS supp_nation, + n2.n_name AS cust_nation, + extract(YEAR + FROM l_shipdate) AS l_year, + l_extendedprice * (1 - l_discount) AS volume + FROM supplier, + lineitem, + orders, + customer, + nation n1, + nation n2 + WHERE s_suppkey = l_suppkey + AND o_orderkey = l_orderkey + AND c_custkey = o_custkey + AND s_nationkey = n1.n_nationkey + AND c_nationkey = n2.n_nationkey + AND ((n1.n_name = 'FRANCE' + AND n2.n_name = 'GERMANY') + OR (n1.n_name = 'GERMANY' + AND n2.n_name = 'FRANCE')) + AND l_shipdate BETWEEN date '1995-01-01' AND date '1996-12-31') AS shipping +GROUP BY supp_nation, + cust_nation, + l_year +ORDER BY supp_nation, + cust_nation, + l_year; -select - supp_nation, - cust_nation, - l_year, - sum(volume) as revenue -from - ( - select - n1.n_name as supp_nation, - n2.n_name as cust_nation, - extract(year from l_shipdate) as l_year, - l_extendedprice * (1 - l_discount) as volume - from - supplier, - lineitem, - orders, - customer, - nation n1, - nation n2 - where - s_suppkey = l_suppkey - and o_orderkey = l_orderkey - and c_custkey = o_custkey - and s_nationkey = n1.n_nationkey - and c_nationkey = n2.n_nationkey - and ( - (n1.n_name = 'FRANCE' and n2.n_name = 'GERMANY') - or (n1.n_name = 'GERMANY' and n2.n_name = 'FRANCE') - ) - and l_shipdate between date '1995-01-01' and date '1996-12-31' - ) as shipping -group by - supp_nation, - cust_nation, - l_year -order by - supp_nation, - cust_nation, - l_year; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_8.sql b/TPC-H/queries/query_8.sql index 02167a818efccfb864dd1e765b7cdfa347ef62c4..672dff046617dc0aa8ff5397f25e74b67978a1d6 100644 --- a/TPC-H/queries/query_8.sql +++ b/TPC-H/queries/query_8.sql @@ -1,41 +1,35 @@ -- using default substitutions +SELECT o_year, + sum(CASE + WHEN nation = 'BRAZIL' THEN volume + ELSE 0 + END) / sum(volume) AS mkt_share +FROM + (SELECT extract(YEAR + FROM o_orderdate) AS o_year, + l_extendedprice * (1 - l_discount) AS volume, + n2.n_name AS nation + FROM part, + supplier, + lineitem, + orders, + customer, + nation n1, + nation n2, + region + WHERE p_partkey = l_partkey + AND s_suppkey = l_suppkey + AND l_orderkey = o_orderkey + AND o_custkey = c_custkey + AND c_nationkey = n1.n_nationkey + AND n1.n_regionkey = r_regionkey + AND r_name = 'AMERICA' + AND s_nationkey = n2.n_nationkey + AND o_orderdate BETWEEN date '1995-01-01' AND date '1996-12-31' + AND p_type = 'ECONOMY ANODIZED STEEL') AS all_nations +GROUP BY o_year +ORDER BY o_year; -select - o_year, - sum(case - when nation = 'BRAZIL' then volume - else 0 - end) / sum(volume) as mkt_share -from - ( - select - extract(year from o_orderdate) as o_year, - l_extendedprice * (1 - l_discount) as volume, - n2.n_name as nation - from - part, - supplier, - lineitem, - orders, - customer, - nation n1, - nation n2, - region - where - p_partkey = l_partkey - and s_suppkey = l_suppkey - and l_orderkey = o_orderkey - and o_custkey = c_custkey - and c_nationkey = n1.n_nationkey - and n1.n_regionkey = r_regionkey - and r_name = 'AMERICA' - and s_nationkey = n2.n_nationkey - and o_orderdate between date '1995-01-01' and date '1996-12-31' - and p_type = 'ECONOMY ANODIZED STEEL' - ) as all_nations -group by - o_year -order by - o_year; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/TPC-H/queries/query_9.sql b/TPC-H/queries/query_9.sql index 3284db5908f9fcb2cac42b79abb4b64631830f57..16e68fcc166b780108c888f66a2fdfad2871c7ae 100644 --- a/TPC-H/queries/query_9.sql +++ b/TPC-H/queries/query_9.sql @@ -1,36 +1,30 @@ -- using default substitutions +SELECT nation, + o_year, + sum(amount) AS sum_profit +FROM + (SELECT n_name AS nation, + extract(YEAR + FROM o_orderdate) AS o_year, + l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount + FROM part, + supplier, + lineitem, + partsupp, + orders, + nation + WHERE s_suppkey = l_suppkey + AND ps_suppkey = l_suppkey + AND ps_partkey = l_partkey + AND p_partkey = l_partkey + AND o_orderkey = l_orderkey + AND s_nationkey = n_nationkey + AND p_name like '%green%') AS profit +GROUP BY nation, + o_year +ORDER BY nation, + o_year DESC; -select - nation, - o_year, - sum(amount) as sum_profit -from - ( - select - n_name as nation, - extract(year from o_orderdate) as o_year, - l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount - from - part, - supplier, - lineitem, - partsupp, - orders, - nation - where - s_suppkey = l_suppkey - and ps_suppkey = l_suppkey - and ps_partkey = l_partkey - and p_partkey = l_partkey - and o_orderkey = l_orderkey - and s_nationkey = n_nationkey - and p_name like '%green%' - ) as profit -group by - nation, - o_year -order by - nation, - o_year desc; -where rownum <= -1; + +WHERE rownum <= -1; diff --git a/beaver/queries/dw_0000_dw.sql b/beaver/queries/dw_0000_dw.sql index 8ca23b7b9e01f1578565221bb1e495a28b771604..9eb7fcc6303fe3fa5b068dd7ba62aa8959b43b36 100644 --- a/beaver/queries/dw_0000_dw.sql +++ b/beaver/queries/dw_0000_dw.sql @@ -1 +1,12 @@ -SELECT DISTINCT d.FCLT_BUILDING_KEY, e.BUILDING_STREET_ADDRESS, d.CITY, d.STATE, d.POSTAL_CODE FROM FCLT_BUILDING_ADDRESS d JOIN FCLT_ROOMS a ON a.FCLT_BUILDING_KEY = d.FCLT_BUILDING_KEY JOIN FCLT_ORG_DLC_KEY b ON a.FCLT_ORGANIZATION_KEY = b.FCLT_ORGANIZATION_KEY JOIN MASTER_DEPT_HIERARCHY c ON b.DLC_KEY = c.DLC_KEY JOIN BUILDINGS e ON e.BUILDING_KEY = d.FCLT_BUILDING_KEY WHERE lower(c.DLC_NAME) = lower('History') AND d.ADDRESS_PURPOSE = 'STREET'; +SELECT DISTINCT d.FCLT_BUILDING_KEY, + e.BUILDING_STREET_ADDRESS, + d.CITY, + d.STATE, + d.POSTAL_CODE +FROM FCLT_BUILDING_ADDRESS d +JOIN FCLT_ROOMS a ON a.FCLT_BUILDING_KEY = d.FCLT_BUILDING_KEY +JOIN FCLT_ORG_DLC_KEY b ON a.FCLT_ORGANIZATION_KEY = b.FCLT_ORGANIZATION_KEY +JOIN MASTER_DEPT_HIERARCHY c ON b.DLC_KEY = c.DLC_KEY +JOIN BUILDINGS e ON e.BUILDING_KEY = d.FCLT_BUILDING_KEY +WHERE lower(c.DLC_NAME) = lower('History') + AND d.ADDRESS_PURPOSE = 'STREET'; diff --git a/beaver/queries/dw_0001_dw.sql b/beaver/queries/dw_0001_dw.sql index 9304e1cd7fca1205b86e06abda1c10a68b10996c..46e20ac82282ddcc6888b1ee429af4e6200a67df 100644 --- a/beaver/queries/dw_0001_dw.sql +++ b/beaver/queries/dw_0001_dw.sql @@ -1 +1,10 @@ -SELECT DISTINCT a.activity_title, d.session_location, c.term_start_date, b.person_name AS Leader FROM iap_subject_detail a JOIN iap_subject_person b ON a.iap_subject_person_key = b.iap_subject_person_key JOIN academic_terms_all c ON c.term_code = a.term_code JOIN iap_subject_session d ON a.iap_subject_session_key = d.iap_subject_session_key WHERE b.person_role = 'Activity leader' ORDER BY term_start_date ASC; +SELECT DISTINCT a.activity_title, + d.session_location, + c.term_start_date, + b.person_name AS Leader +FROM iap_subject_detail a +JOIN iap_subject_person b ON a.iap_subject_person_key = b.iap_subject_person_key +JOIN academic_terms_all c ON c.term_code = a.term_code +JOIN iap_subject_session d ON a.iap_subject_session_key = d.iap_subject_session_key +WHERE b.person_role = 'Activity leader' +ORDER BY term_start_date ASC; diff --git a/beaver/queries/dw_0002_dw.sql b/beaver/queries/dw_0002_dw.sql index c5d74619e25c61f2d191ce1b11b9580e68cdf800..283af4b990b13a84c8f912c59af3726fec0896ed 100644 --- a/beaver/queries/dw_0002_dw.sql +++ b/beaver/queries/dw_0002_dw.sql @@ -1 +1,7 @@ -SELECT DISTINCT LIBRARY_COURSE_INSTRUCTOR.instructor_name, LIBRARY_SUBJECT_OFFERED.subject_title, COUNT(LIBRARY_RESERVE_CATALOG.catalog_isbn) OVER (PARTITION BY LIBRARY_COURSE_INSTRUCTOR.LIBRARY_COURSE_INSTRUCTOR_KEY, LIBRARY_SUBJECT_OFFERED.LIBRARY_SUBJECT_OFFERED_KEY) FROM LIBRARY_COURSE_INSTRUCTOR JOIN LIBRARY_RESERVE_MATRL_DETAIL ON LIBRARY_COURSE_INSTRUCTOR.LIBRARY_COURSE_INSTRUCTOR_KEY = LIBRARY_RESERVE_MATRL_DETAIL.LIBRARY_COURSE_INSTRUCTOR_KEY JOIN LIBRARY_SUBJECT_OFFERED ON LIBRARY_SUBJECT_OFFERED.LIBRARY_SUBJECT_OFFERED_KEY = LIBRARY_RESERVE_MATRL_DETAIL.LIBRARY_SUBJECT_OFFERED_KEY JOIN LIBRARY_RESERVE_CATALOG ON LIBRARY_RESERVE_CATALOG.LIBRARY_RESERVE_CATALOG_KEY = LIBRARY_RESERVE_MATRL_DETAIL.LIBRARY_RESERVE_CATALOG_KEY; +SELECT DISTINCT LIBRARY_COURSE_INSTRUCTOR.instructor_name, + LIBRARY_SUBJECT_OFFERED.subject_title, + COUNT(LIBRARY_RESERVE_CATALOG.catalog_isbn) OVER (PARTITION BY LIBRARY_COURSE_INSTRUCTOR.LIBRARY_COURSE_INSTRUCTOR_KEY, LIBRARY_SUBJECT_OFFERED.LIBRARY_SUBJECT_OFFERED_KEY) +FROM LIBRARY_COURSE_INSTRUCTOR +JOIN LIBRARY_RESERVE_MATRL_DETAIL ON LIBRARY_COURSE_INSTRUCTOR.LIBRARY_COURSE_INSTRUCTOR_KEY = LIBRARY_RESERVE_MATRL_DETAIL.LIBRARY_COURSE_INSTRUCTOR_KEY +JOIN LIBRARY_SUBJECT_OFFERED ON LIBRARY_SUBJECT_OFFERED.LIBRARY_SUBJECT_OFFERED_KEY = LIBRARY_RESERVE_MATRL_DETAIL.LIBRARY_SUBJECT_OFFERED_KEY +JOIN LIBRARY_RESERVE_CATALOG ON LIBRARY_RESERVE_CATALOG.LIBRARY_RESERVE_CATALOG_KEY = LIBRARY_RESERVE_MATRL_DETAIL.LIBRARY_RESERVE_CATALOG_KEY; diff --git a/spider2/queries/lite_bq001.sql b/spider2/queries/lite_bq001.sql index 55e76ffe6458f69c72bf5e4338145c43e7bcc39a..c6a6ae0fb8d2199ab63b443bd39520d14e432456 100644 --- a/spider2/queries/lite_bq001.sql +++ b/spider2/queries/lite_bq001.sql @@ -1,63 +1,38 @@ DECLARE start_date STRING DEFAULT '20170201'; -DECLARE end_date STRING DEFAULT '20170228'; -WITH visit AS ( - SELECT - fullvisitorid, - MIN(date) AS date_first_visit - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_*` - WHERE - _TABLE_SUFFIX BETWEEN start_date AND end_date - GROUP BY fullvisitorid -), +DECLARE end_date STRING DEFAULT '20170228'; -transactions AS ( - SELECT - fullvisitorid, - MIN(date) AS date_transactions - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, +WITH visit AS + (SELECT fullvisitorid, + MIN(date) AS date_first_visit + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` + WHERE _TABLE_SUFFIX BETWEEN start_date AND end_date + GROUP BY fullvisitorid), + transactions AS + (SELECT fullvisitorid, + MIN(date) AS date_transactions + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, UNNEST(ga.hits) AS hits - WHERE - hits.transaction.transactionId IS NOT NULL - AND - _TABLE_SUFFIX BETWEEN start_date AND end_date - GROUP BY fullvisitorid -), - -device_transactions AS ( - SELECT DISTINCT - fullvisitorid, - date, - device.deviceCategory - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, + WHERE hits.transaction.transactionId IS NOT NULL + AND _TABLE_SUFFIX BETWEEN start_date AND end_date + GROUP BY fullvisitorid), + device_transactions AS + (SELECT DISTINCT fullvisitorid, date, device.deviceCategory + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, UNNEST(ga.hits) AS hits - WHERE - hits.transaction.transactionId IS NOT NULL - AND - _TABLE_SUFFIX BETWEEN start_date AND end_date -), - -visits_transactions AS ( - SELECT - visit.fullvisitorid, - date_first_visit, - date_transactions, - device_transactions.deviceCategory AS device_transaction - FROM - visit - JOIN transactions - ON visit.fullvisitorid = transactions.fullvisitorid - JOIN device_transactions - ON visit.fullvisitorid = device_transactions.fullvisitorid - AND transactions.date_transactions = device_transactions.date -) - -SELECT - fullvisitorid, - DATE_DIFF(PARSE_DATE('%Y%m%d', date_transactions), PARSE_DATE('%Y%m%d', date_first_visit), DAY) AS time, + WHERE hits.transaction.transactionId IS NOT NULL + AND _TABLE_SUFFIX BETWEEN start_date AND end_date), + visits_transactions AS + (SELECT visit.fullvisitorid, + date_first_visit, + date_transactions, + device_transactions.deviceCategory AS device_transaction + FROM visit + JOIN transactions ON visit.fullvisitorid = transactions.fullvisitorid + JOIN device_transactions ON visit.fullvisitorid = device_transactions.fullvisitorid + AND transactions.date_transactions = device_transactions.date) +SELECT fullvisitorid, + DATE_DIFF(PARSE_DATE('%Y%m%d', date_transactions), PARSE_DATE('%Y%m%d', date_first_visit), DAY) AS TIME, device_transaction FROM visits_transactions ORDER BY fullvisitorid; diff --git a/spider2/queries/lite_bq002.sql b/spider2/queries/lite_bq002.sql index 4b4bc7d96f90f2653ed329a304f8e786e2af6183..8f61fb213efe59238fcdc1a886b5f897df05aba5 100644 --- a/spider2/queries/lite_bq002.sql +++ b/spider2/queries/lite_bq002.sql @@ -1,91 +1,77 @@ DECLARE start_date STRING DEFAULT '20170101'; + DECLARE end_date STRING DEFAULT '20170630'; -WITH daily_revenue AS ( - SELECT - trafficSource.source AS source, - date, - SUM(productRevenue) / 1000000 AS revenue - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_*`, +WITH daily_revenue AS + (SELECT trafficSource.source AS SOURCE, date, SUM(productRevenue) / 1000000 AS revenue + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*`, UNNEST (hits) AS hits, - UNNEST (hits.product) AS product - WHERE - _table_suffix BETWEEN start_date AND end_date - GROUP BY - source, date -), -weekly_revenue AS ( - SELECT - source, - CONCAT(EXTRACT(YEAR FROM (PARSE_DATE('%Y%m%d', date))), 'W', EXTRACT(WEEK FROM (PARSE_DATE('%Y%m%d', date)))) AS week, - SUM(revenue) AS revenue - FROM daily_revenue - GROUP BY source, week -), -monthly_revenue AS ( - SELECT - source, - CONCAT(EXTRACT(YEAR FROM (PARSE_DATE('%Y%m%d', date))),'0', EXTRACT(MONTH FROM (PARSE_DATE('%Y%m%d', date)))) AS month, - SUM(revenue) AS revenue - FROM daily_revenue - GROUP BY source, month -), - -top_source AS ( - SELECT source, SUM(revenue) AS total_revenue - FROM daily_revenue - GROUP BY source - ORDER BY total_revenue DESC - LIMIT 1 -), - -max_revenues AS ( - ( - SELECT - 'Daily' AS time_type, - date AS time, - source, - MAX(revenue) AS max_revenue - FROM daily_revenue - WHERE source = (SELECT source FROM top_source) - GROUP BY source, date - ORDER BY max_revenue DESC - LIMIT 1 - ) - - UNION ALL - - ( - SELECT - 'Weekly' AS time_type, - week AS time, - source, - MAX(revenue) AS max_revenue - FROM weekly_revenue - WHERE source = (SELECT source FROM top_source) - GROUP BY source, week - ORDER BY max_revenue DESC - LIMIT 1 - ) - - UNION ALL - - ( - SELECT - 'Monthly' AS time_type, - month AS time, - source, - MAX(revenue) AS max_revenue - FROM monthly_revenue - WHERE source = (SELECT source FROM top_source) - GROUP BY source, month - ORDER BY max_revenue DESC - LIMIT 1 - ) -) - -SELECT - max_revenue + UNNEST (hits.product) AS product + WHERE _table_suffix BETWEEN start_date AND end_date + GROUP BY SOURCE, date), + weekly_revenue AS + (SELECT SOURCE, + CONCAT(EXTRACT(YEAR + FROM (PARSE_DATE('%Y%m%d', date))), 'W', EXTRACT(WEEK + FROM (PARSE_DATE('%Y%m%d', date)))) AS WEEK, + SUM(revenue) AS revenue + FROM daily_revenue + GROUP BY SOURCE, + WEEK), + monthly_revenue AS + (SELECT SOURCE, + CONCAT(EXTRACT(YEAR + FROM (PARSE_DATE('%Y%m%d', date))), '0', EXTRACT(MONTH + FROM (PARSE_DATE('%Y%m%d', date)))) AS MONTH, + SUM(revenue) AS revenue + FROM daily_revenue + GROUP BY SOURCE, + MONTH), + top_source AS + (SELECT SOURCE, + SUM(revenue) AS total_revenue + FROM daily_revenue + GROUP BY SOURCE + ORDER BY total_revenue DESC + LIMIT 1), + max_revenues AS ( + (SELECT 'Daily' AS time_type, + date AS TIME, + SOURCE, + MAX(revenue) AS max_revenue + FROM daily_revenue + WHERE SOURCE = + (SELECT SOURCE + FROM top_source) + GROUP BY SOURCE, date + ORDER BY max_revenue DESC + LIMIT 1) + UNION ALL + (SELECT 'Weekly' AS time_type, + WEEK AS TIME, + SOURCE, + MAX(revenue) AS max_revenue + FROM weekly_revenue + WHERE SOURCE = + (SELECT SOURCE + FROM top_source) + GROUP BY SOURCE, + WEEK + ORDER BY max_revenue DESC + LIMIT 1) + UNION ALL + (SELECT 'Monthly' AS time_type, + MONTH AS TIME, + SOURCE, + MAX(revenue) AS max_revenue + FROM monthly_revenue + WHERE SOURCE = + (SELECT SOURCE + FROM top_source) + GROUP BY SOURCE, + MONTH + ORDER BY max_revenue DESC + LIMIT 1)) +SELECT max_revenue FROM max_revenues ORDER BY max_revenue DESC; diff --git a/spider2/queries/lite_bq003.sql b/spider2/queries/lite_bq003.sql index 04957c920407b8f8e6b72a3187cb0b01328ec8a3..deba9aa940bf52d04d2dde94fc1f1c15c234c13e 100644 --- a/spider2/queries/lite_bq003.sql +++ b/spider2/queries/lite_bq003.sql @@ -1,35 +1,30 @@ -WITH cte1 AS ( - SELECT - CONCAT(EXTRACT(YEAR FROM (PARSE_DATE('%Y%m%d', date))), '0', - EXTRACT(MONTH FROM (PARSE_DATE('%Y%m%d', date)))) AS month, - SUM(totals.pageviews) / COUNT(DISTINCT fullVisitorId) AS avg_pageviews_non_purchase - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, +WITH cte1 AS + (SELECT CONCAT(EXTRACT(YEAR + FROM (PARSE_DATE('%Y%m%d', date))), '0', EXTRACT(MONTH + FROM (PARSE_DATE('%Y%m%d', date)))) AS MONTH, + SUM(totals.pageviews) / COUNT(DISTINCT fullVisitorId) AS avg_pageviews_non_purchase + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, UNNEST (hits) AS hits, - UNNEST (hits.product) AS product - WHERE - _table_suffix BETWEEN '0401' AND '0731' - AND totals.transactions IS NULL - AND product.productRevenue IS NULL - GROUP BY month -), -cte2 AS ( - SELECT - CONCAT(EXTRACT(YEAR FROM (PARSE_DATE('%Y%m%d', date))), '0', - EXTRACT(MONTH FROM (PARSE_DATE('%Y%m%d', date)))) AS month, - SUM(totals.pageviews) / COUNT(DISTINCT fullVisitorId) AS avg_pageviews_purchase - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, + UNNEST (hits.product) AS product + WHERE _table_suffix BETWEEN '0401' AND '0731' + AND totals.transactions IS NULL + AND product.productRevenue IS NULL + GROUP BY MONTH), + cte2 AS + (SELECT CONCAT(EXTRACT(YEAR + FROM (PARSE_DATE('%Y%m%d', date))), '0', EXTRACT(MONTH + FROM (PARSE_DATE('%Y%m%d', date)))) AS MONTH, + SUM(totals.pageviews) / COUNT(DISTINCT fullVisitorId) AS avg_pageviews_purchase + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, UNNEST (hits) AS hits, - UNNEST (hits.product) AS product - WHERE - _table_suffix BETWEEN '0401' AND '0731' - AND totals.transactions >= 1 - AND product.productRevenue IS NOT NULL - GROUP BY month -) -SELECT - month, avg_pageviews_purchase, avg_pageviews_non_purchase -FROM cte1 INNER JOIN cte2 -USING(month) -ORDER BY month; + UNNEST (hits.product) AS product + WHERE _table_suffix BETWEEN '0401' AND '0731' + AND totals.transactions >= 1 + AND product.productRevenue IS NOT NULL + GROUP BY MONTH) +SELECT MONTH, + avg_pageviews_purchase, + avg_pageviews_non_purchase +FROM cte1 +INNER JOIN cte2 USING(MONTH) +ORDER BY MONTH; diff --git a/spider2/queries/lite_bq004.sql b/spider2/queries/lite_bq004.sql index c762d8b875796d9ac052c32e68842bd2fa084208..422de036ff4957b818a2bb4c2b8953d1942afefe 100644 --- a/spider2/queries/lite_bq004.sql +++ b/spider2/queries/lite_bq004.sql @@ -1,27 +1,19 @@ -with product_and_quatity AS ( - SELECT - DISTINCT v2ProductName AS other_purchased_products, - SUM(productQuantity) AS quatity - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, +WITH product_and_quatity AS + (SELECT DISTINCT v2ProductName AS other_purchased_products, + SUM(productQuantity) AS quatity + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, UNNEST(hits) AS hits, UNNEST(hits.product) AS product - WHERE - _table_suffix BETWEEN '0701' AND '0731' - AND NOT REGEXP_CONTAINS(LOWER(v2ProductName), 'youtube') - AND fullVisitorID IN ( - SELECT - DISTINCT fullVisitorId - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, - UNNEST(hits) AS hits, - UNNEST(hits.product) AS product - WHERE - _table_suffix BETWEEN '0701' AND '0731' - AND REGEXP_CONTAINS(LOWER(v2ProductName), 'youtube') - ) - GROUP BY v2ProductName -) + WHERE _table_suffix BETWEEN '0701' AND '0731' + AND NOT REGEXP_CONTAINS(LOWER(v2ProductName), 'youtube') + AND fullVisitorID IN + (SELECT DISTINCT fullVisitorId + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, + UNNEST(hits) AS hits, + UNNEST(hits.product) AS product + WHERE _table_suffix BETWEEN '0701' AND '0731' + AND REGEXP_CONTAINS(LOWER(v2ProductName), 'youtube')) + GROUP BY v2ProductName) SELECT other_purchased_products FROM product_and_quatity ORDER BY quatity DESC diff --git a/spider2/queries/lite_bq006.sql b/spider2/queries/lite_bq006.sql index 2c33b1042721a4b39b096008361d93211b85c8af..66ce652e279a8d5675ad9fd798e716f8be0070f3 100644 --- a/spider2/queries/lite_bq006.sql +++ b/spider2/queries/lite_bq006.sql @@ -1,39 +1,25 @@ -WITH incident_stats AS ( - SELECT - COUNT(descript) AS total_pub_intox - FROM - `bigquery-public-data.austin_incidents.incidents_2016` - WHERE - descript = 'PUBLIC INTOXICATION' - GROUP BY - date -), -average_and_stddev AS ( - SELECT - AVG(total_pub_intox) AS avg, - STDDEV(total_pub_intox) AS stddev - FROM - incident_stats -), -daily_z_scores AS ( - SELECT - date, - COUNT(descript) AS total_pub_intox, - ROUND((COUNT(descript) - a.avg) / a.stddev, 2) AS z_score - FROM - `bigquery-public-data.austin_incidents.incidents_2016`, - (SELECT avg, stddev FROM average_and_stddev) AS a - WHERE - descript = 'PUBLIC INTOXICATION' - GROUP BY - date, avg, stddev -) +WITH incident_stats AS + (SELECT COUNT(descript) AS total_pub_intox + FROM `bigquery-public-data.austin_incidents.incidents_2016` + WHERE descript = 'PUBLIC INTOXICATION' + GROUP BY date), + average_and_stddev AS + (SELECT AVG(total_pub_intox) AS AVG, + STDDEV(total_pub_intox) AS stddev + FROM incident_stats), + daily_z_scores AS + (SELECT date, COUNT(descript) AS total_pub_intox, + ROUND((COUNT(descript) - a.avg) / a.stddev, 2) AS z_score + FROM `bigquery-public-data.austin_incidents.incidents_2016`, -SELECT - date -FROM - daily_z_scores -ORDER BY - z_score DESC + (SELECT AVG, + stddev + FROM average_and_stddev) AS a + WHERE descript = 'PUBLIC INTOXICATION' + GROUP BY date, AVG, + stddev) +SELECT date +FROM daily_z_scores +ORDER BY z_score DESC LIMIT 1 OFFSET 1 diff --git a/spider2/queries/lite_bq008.sql b/spider2/queries/lite_bq008.sql index 68f4957b17ddf08df2fa009abdf714285a82698a..ec2962bf3c9f7e3566f5a75650a5db7c73be9098 100644 --- a/spider2/queries/lite_bq008.sql +++ b/spider2/queries/lite_bq008.sql @@ -1,76 +1,57 @@ -with page_visit_sequence AS ( - SELECT - fullVisitorID, - visitID, - pagePath, - LEAD(timestamp, 1) OVER (PARTITION BY fullVisitorId, visitID order by timestamp) - timestamp AS page_duration, - LEAD(pagePath, 1) OVER (PARTITION BY fullVisitorId, visitID order by timestamp) AS next_page, - RANK() OVER (PARTITION BY fullVisitorId, visitID order by timestamp) AS step_number - FROM ( - SELECT - pages.fullVisitorID, - pages.visitID, - pages.pagePath, - visitors.campaign, - MIN(pages.timestamp) timestamp - FROM ( - SELECT - fullVisitorId, +WITH page_visit_sequence AS + (SELECT fullVisitorID, + visitID, + pagePath, + LEAD(timestamp, 1) OVER (PARTITION BY fullVisitorId, visitID + ORDER BY timestamp) - timestamp AS page_duration, + LEAD(pagePath, 1) OVER (PARTITION BY fullVisitorId, visitID + ORDER BY timestamp) AS next_page, + RANK() OVER (PARTITION BY fullVisitorId, visitID + ORDER BY timestamp) AS step_number + FROM + (SELECT pages.fullVisitorID, + pages.visitID, + pages.pagePath, + visitors.campaign, + MIN(pages.timestamp) timestamp + FROM + (SELECT fullVisitorId, visitId, trafficSource.campaign campaign - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_*`, - UNNEST(hits) as hits - WHERE - _TABLE_SUFFIX BETWEEN '20170101' AND '20170131' - AND hits.type='PAGE' - AND REGEXP_CONTAINS(hits.page.pagePath, r'^/home') - AND REGEXP_CONTAINS(trafficSource.campaign, r'Data Share') - ) AS visitors - JOIN( - SELECT - fullVisitorId, - visitId, - visitStartTime + hits.time / 1000 AS timestamp, - hits.page.pagePath AS pagePath - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_*`, - UNNEST(hits) as hits - WHERE - _TABLE_SUFFIX BETWEEN '20170101' AND '20170131' - ) as pages - ON - visitors.fullVisitorID = pages.fullVisitorID - AND visitors.visitID = pages.visitID - GROUP BY - pages.fullVisitorID, visitors.campaign, pages.visitID, pages.pagePath - ORDER BY - pages.fullVisitorID, pages.visitID, timestamp - ) - ORDER BY fullVisitorId, visitID, step_number -), -most_common_next_page AS ( - SELECT - next_page, - COUNT(next_page) as page_count - FROM page_visit_sequence - WHERE - next_page IS NOT NULL - AND REGEXP_CONTAINS(pagePath, r'^/home') - GROUP BY next_page - ORDER BY page_count DESC - LIMIT 1 -), -max_page_duration AS ( - SELECT MAX(page_duration) as max_duration - FROM page_visit_sequence - WHERE - page_duration IS NOT NULL - AND REGEXP_CONTAINS(pagePath, r'^/home') -) -SELECT - next_page, - max_duration -FROM - most_common_next_page, - max_page_duration; + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*`, + UNNEST(hits) AS hits + WHERE _TABLE_SUFFIX BETWEEN '20170101' AND '20170131' + AND hits.type='PAGE' + AND REGEXP_CONTAINS(hits.page.pagePath, r'^/home') + AND REGEXP_CONTAINS(trafficSource.campaign, r'Data Share')) AS visitors JOIN + (SELECT fullVisitorId, visitId, visitStartTime + hits.time / 1000 AS timestamp, hits.page.pagePath AS pagePath + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*`, UNNEST(hits) AS hits + WHERE _TABLE_SUFFIX BETWEEN '20170101' AND '20170131') AS pages ON visitors.fullVisitorID = pages.fullVisitorID + AND visitors.visitID = pages.visitID + GROUP BY pages.fullVisitorID, + visitors.campaign, + pages.visitID, + pages.pagePath + ORDER BY pages.fullVisitorID, + pages.visitID, timestamp) + ORDER BY fullVisitorId, + visitID, + step_number), + most_common_next_page AS + (SELECT next_page, + COUNT(next_page) AS page_count + FROM page_visit_sequence + WHERE next_page IS NOT NULL + AND REGEXP_CONTAINS(pagePath, r'^/home') + GROUP BY next_page + ORDER BY page_count DESC + LIMIT 1), + max_page_duration AS + (SELECT MAX(page_duration) AS max_duration + FROM page_visit_sequence + WHERE page_duration IS NOT NULL + AND REGEXP_CONTAINS(pagePath, r'^/home')) +SELECT next_page, + max_duration +FROM most_common_next_page, + max_page_duration; diff --git a/spider2/queries/lite_bq009.sql b/spider2/queries/lite_bq009.sql index a180232d19dcd0d1650499b98c80f42a5b117a1d..e5d5cc856c0c85d0cb9742545e26c2ddd05fb9e8 100644 --- a/spider2/queries/lite_bq009.sql +++ b/spider2/queries/lite_bq009.sql @@ -1,48 +1,35 @@ -WITH MONTHLY_REVENUE AS ( - SELECT - FORMAT_DATE("%Y%m", PARSE_DATE("%Y%m%d", date)) AS month, - trafficSource.source AS source, - ROUND(SUM(totals.totalTransactionRevenue) / 1000000, 2) AS revenue - FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*` - GROUP BY 1, 2 -), - -YEARLY_REVENUE AS ( - SELECT - source, - SUM(revenue) AS total_revenue - FROM MONTHLY_REVENUE - GROUP BY source -), - -TOP_SOURCE AS ( - SELECT - source - FROM YEARLY_REVENUE - ORDER BY total_revenue DESC - LIMIT 1 -), - -SOURCE_MONTHLY_REVENUE AS ( - SELECT - month, - source, - revenue - FROM MONTHLY_REVENUE - WHERE source IN (SELECT source FROM TOP_SOURCE) -), - -REVENUE_DIFF AS ( - SELECT - source, - ROUND(MAX(revenue), 2) AS max_revenue, - ROUND(MIN(revenue), 2) AS min_revenue, - ROUND(MAX(revenue) - MIN(revenue), 2) AS diff_revenue - FROM SOURCE_MONTHLY_REVENUE - GROUP BY source -) - -SELECT - source, - diff_revenue +WITH MONTHLY_REVENUE AS + (SELECT FORMAT_DATE("%Y%m", PARSE_DATE("%Y%m%d", date)) AS MONTH, + trafficSource.source AS SOURCE, + ROUND(SUM(totals.totalTransactionRevenue) / 1000000, 2) AS revenue + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*` + GROUP BY 1, + 2), + YEARLY_REVENUE AS + (SELECT SOURCE, + SUM(revenue) AS total_revenue + FROM MONTHLY_REVENUE + GROUP BY SOURCE), + TOP_SOURCE AS + (SELECT SOURCE + FROM YEARLY_REVENUE + ORDER BY total_revenue DESC + LIMIT 1), + SOURCE_MONTHLY_REVENUE AS + (SELECT MONTH, + SOURCE, + revenue + FROM MONTHLY_REVENUE + WHERE SOURCE IN + (SELECT SOURCE + FROM TOP_SOURCE)), + REVENUE_DIFF AS + (SELECT SOURCE, + ROUND(MAX(revenue), 2) AS max_revenue, + ROUND(MIN(revenue), 2) AS min_revenue, + ROUND(MAX(revenue) - MIN(revenue), 2) AS diff_revenue + FROM SOURCE_MONTHLY_REVENUE + GROUP BY SOURCE) +SELECT SOURCE, + diff_revenue FROM REVENUE_DIFF; diff --git a/spider2/queries/lite_bq010.sql b/spider2/queries/lite_bq010.sql index c8820f4c49bd431183e27878476c2eff5fa2792b..62b127b372e7f8ec58b8a4465302bd4a0a15a6f9 100644 --- a/spider2/queries/lite_bq010.sql +++ b/spider2/queries/lite_bq010.sql @@ -1,31 +1,20 @@ -WITH GET_CUS_ID AS ( - SELECT - DISTINCT fullVisitorId as Henley_CUSTOMER_ID - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_201707*`, +WITH GET_CUS_ID AS + (SELECT DISTINCT fullVisitorId AS Henley_CUSTOMER_ID + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_201707*`, UNNEST(hits) AS hits, - UNNEST(hits.product) as product - WHERE - product.v2ProductName = "YouTube Men's Vintage Henley" - AND product.productRevenue IS NOT NULL - ) - -SELECT - product.v2ProductName AS other_purchased_products -FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_201707*` TAB_A - RIGHT JOIN GET_CUS_ID - ON GET_CUS_ID.Henley_CUSTOMER_ID=TAB_A.fullVisitorId, - UNNEST(hits) AS hits, - UNNEST(hits.product) as product -WHERE - TAB_A.fullVisitorId IN ( - SELECT * FROM GET_CUS_ID - ) - AND product.v2ProductName <> "YouTube Men's Vintage Henley" - AND product.productRevenue IS NOT NULL -GROUP BY - product.v2ProductName -ORDER BY - SUM(product.productQuantity) DESC + UNNEST(hits.product) AS product + WHERE product.v2ProductName = "YouTube Men's Vintage Henley" + AND product.productRevenue IS NOT NULL) +SELECT product.v2ProductName AS other_purchased_products +FROM `bigquery-public-data.google_analytics_sample.ga_sessions_201707*` TAB_A +RIGHT JOIN GET_CUS_ID ON GET_CUS_ID.Henley_CUSTOMER_ID=TAB_A.fullVisitorId, + UNNEST(hits) AS hits, + UNNEST(hits.product) AS product +WHERE TAB_A.fullVisitorId IN + (SELECT * + FROM GET_CUS_ID) + AND product.v2ProductName <> "YouTube Men's Vintage Henley" + AND product.productRevenue IS NOT NULL +GROUP BY product.v2ProductName +ORDER BY SUM(product.productQuantity) DESC LIMIT 1; diff --git a/spider2/queries/lite_bq011.sql b/spider2/queries/lite_bq011.sql index 3e6f7a7b8f50ba98c97356ab74e2647b97dc8fe8..829c2d63a1129580a0e764aad3ff6600b96a4b7d 100644 --- a/spider2/queries/lite_bq011.sql +++ b/spider2/queries/lite_bq011.sql @@ -1,31 +1,18 @@ -SELECT - COUNT(DISTINCT MDaysUsers.user_pseudo_id) AS n_day_inactive_users_count +SELECT COUNT(DISTINCT MDaysUsers.user_pseudo_id) AS n_day_inactive_users_count FROM - ( - SELECT - user_pseudo_id - FROM - `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` AS T - CROSS JOIN - UNNEST(T.event_params) AS event_params - WHERE - event_params.key = 'engagement_time_msec' AND event_params.value.int_value > 0 - AND event_timestamp > UNIX_MICROS(TIMESTAMP_SUB(TIMESTAMP('2021-01-07 23:59:59'), INTERVAL 7 DAY)) - AND _TABLE_SUFFIX BETWEEN '20210101' AND '20210107' - ) AS MDaysUsers + (SELECT user_pseudo_id + FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` AS T + CROSS JOIN UNNEST(T.event_params) AS event_params + WHERE event_params.key = 'engagement_time_msec' + AND event_params.value.int_value > 0 + AND event_timestamp > UNIX_MICROS(TIMESTAMP_SUB(TIMESTAMP('2021-01-07 23:59:59'), INTERVAL 7 DAY)) + AND _TABLE_SUFFIX BETWEEN '20210101' AND '20210107') AS MDaysUsers LEFT JOIN - ( - SELECT - user_pseudo_id - FROM - `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` AS T - CROSS JOIN - UNNEST(T.event_params) AS event_params - WHERE - event_params.key = 'engagement_time_msec' AND event_params.value.int_value > 0 - AND event_timestamp > UNIX_MICROS(TIMESTAMP_SUB(TIMESTAMP('2021-01-07 23:59:59'), INTERVAL 2 DAY)) - AND _TABLE_SUFFIX BETWEEN '20210105' AND '20210107' - ) AS NDaysUsers -ON MDaysUsers.user_pseudo_id = NDaysUsers.user_pseudo_id -WHERE - NDaysUsers.user_pseudo_id IS NULL; + (SELECT user_pseudo_id + FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` AS T + CROSS JOIN UNNEST(T.event_params) AS event_params + WHERE event_params.key = 'engagement_time_msec' + AND event_params.value.int_value > 0 + AND event_timestamp > UNIX_MICROS(TIMESTAMP_SUB(TIMESTAMP('2021-01-07 23:59:59'), INTERVAL 2 DAY)) + AND _TABLE_SUFFIX BETWEEN '20210105' AND '20210107') AS NDaysUsers ON MDaysUsers.user_pseudo_id = NDaysUsers.user_pseudo_id +WHERE NDaysUsers.user_pseudo_id IS NULL; diff --git a/spider2/queries/lite_bq018.sql b/spider2/queries/lite_bq018.sql index e19d011152db025adbff9d95d120ad1cd9e3f7ab..9ff9f176b7a4651e1814754e4d8facc06aa72635 100644 --- a/spider2/queries/lite_bq018.sql +++ b/spider2/queries/lite_bq018.sql @@ -1,32 +1,21 @@ -WITH us_cases_by_date AS ( - SELECT - date, - SUM( cumulative_confirmed ) AS cases - FROM - `bigquery-public-data.covid19_open_data.covid19_open_data` - WHERE - country_name="United States of America" - AND date between '2020-03-01' and '2020-04-30' - GROUP BY - date - ORDER BY - date ASC - ) - -, us_previous_day_comparison AS -(SELECT - date, - cases, - LAG(cases) OVER(ORDER BY date) AS previous_day, - cases - LAG(cases) OVER(ORDER BY date) AS net_new_cases, - (cases - LAG(cases) OVER(ORDER BY date))*100/LAG(cases) OVER(ORDER BY date) AS percentage_increase -FROM us_cases_by_date -) -SELECT - FORMAT_DATE('%m-%d', Date) -FROM - us_previous_day_comparison -ORDER BY - percentage_increase -DESC +WITH us_cases_by_date AS + (SELECT date, SUM(cumulative_confirmed) AS cases + FROM `bigquery-public-data.covid19_open_data.covid19_open_data` + WHERE country_name="United States of America" + AND date BETWEEN '2020-03-01' AND '2020-04-30' + GROUP BY date + ORDER BY date ASC) , + us_previous_day_comparison AS + (SELECT date, cases, + LAG(cases) OVER( + ORDER BY date) AS previous_day, + cases - LAG(cases) OVER( + ORDER BY date) AS net_new_cases, + (cases - LAG(cases) OVER( + ORDER BY date))*100/LAG(cases) OVER( + ORDER BY date) AS percentage_increase + FROM us_cases_by_date) +SELECT FORMAT_DATE('%m-%d', Date) +FROM us_previous_day_comparison +ORDER BY percentage_increase DESC LIMIT 1 diff --git a/spider2/queries/lite_bq021.sql b/spider2/queries/lite_bq021.sql index e9ae3abf08828dee528414aaf5990782f590703a..4ef41918e376a105a91c4853b095e0943732700d 100644 --- a/spider2/queries/lite_bq021.sql +++ b/spider2/queries/lite_bq021.sql @@ -1,52 +1,46 @@ -WITH top20route AS ( -SELECT - start_station_name, end_station_name, avg_bike_duration, avg_taxi_duration -FROM ( - SELECT - start_station_name, - end_station_name, - ROUND(start_station_latitude, 3) AS ss_lat, - ROUND(start_station_longitude, 3) AS ss_long, - ROUND(end_station_latitude, 3) AS es_lat, - ROUND(end_station_longitude, 3) AS es_long, - AVG(tripduration) AS avg_bike_duration, - COUNT(*) AS bike_trips - FROM - `bigquery-public-data.new_york.citibike_trips` - WHERE - EXTRACT(YEAR from starttime) = 2016 AND - start_station_name != end_station_name - GROUP BY - start_station_name, end_station_name, ss_lat, ss_long, es_lat, es_long - ORDER BY - bike_trips DESC - LIMIT - 20 -) a -JOIN ( - SELECT - ROUND(pickup_latitude, 3) AS pu_lat, - ROUND(pickup_longitude, 3) AS pu_long, - ROUND(dropoff_latitude, 3) AS do_lat, - ROUND(dropoff_longitude, 3) AS do_long, - AVG(UNIX_SECONDS(dropoff_datetime)-UNIX_SECONDS(pickup_datetime)) AS avg_taxi_duration, - COUNT(*) AS taxi_trips - FROM - `bigquery-public-data.new_york.tlc_yellow_trips_2016` - GROUP BY - pu_lat, pu_long, do_lat, do_long -) b -ON - a.ss_lat = b.pu_lat AND - a.es_lat = b.do_lat AND - a.ss_long = b.pu_long AND - a.es_long = b.do_long -) - +WITH top20route AS + (SELECT start_station_name, + end_station_name, + avg_bike_duration, + avg_taxi_duration + FROM + (SELECT start_station_name, + end_station_name, + ROUND(start_station_latitude, 3) AS ss_lat, + ROUND(start_station_longitude, 3) AS ss_long, + ROUND(end_station_latitude, 3) AS es_lat, + ROUND(end_station_longitude, 3) AS es_long, + AVG(tripduration) AS avg_bike_duration, + COUNT(*) AS bike_trips + FROM `bigquery-public-data.new_york.citibike_trips` + WHERE EXTRACT(YEAR + FROM starttime) = 2016 + AND start_station_name != end_station_name + GROUP BY start_station_name, + end_station_name, + ss_lat, + ss_long, + es_lat, + es_long + ORDER BY bike_trips DESC + LIMIT 20) a + JOIN + (SELECT ROUND(pickup_latitude, 3) AS pu_lat, + ROUND(pickup_longitude, 3) AS pu_long, + ROUND(dropoff_latitude, 3) AS do_lat, + ROUND(dropoff_longitude, 3) AS do_long, + AVG(UNIX_SECONDS(dropoff_datetime)-UNIX_SECONDS(pickup_datetime)) AS avg_taxi_duration, + COUNT(*) AS taxi_trips + FROM `bigquery-public-data.new_york.tlc_yellow_trips_2016` + GROUP BY pu_lat, + pu_long, + do_lat, + do_long) b ON a.ss_lat = b.pu_lat + AND a.es_lat = b.do_lat + AND a.ss_long = b.pu_long + AND a.es_long = b.do_long) SELECT start_station_name FROM top20route WHERE avg_bike_duration < avg_taxi_duration -ORDER BY -avg_bike_duration -DESC +ORDER BY avg_bike_duration DESC LIMIT 1 diff --git a/spider2/queries/lite_bq022.sql b/spider2/queries/lite_bq022.sql index a62364c988a1b229c9ffc534eec21b7532e6a5a3..ec7f32a399ed1bccee4135700ef380a877fca1ce 100644 --- a/spider2/queries/lite_bq022.sql +++ b/spider2/queries/lite_bq022.sql @@ -1,19 +1,14 @@ -SELECT - ROUND(MIN(trip_seconds) / 60, 0) AS min_minutes, - ROUND(MAX(trip_seconds) / 60, 0) AS max_minutes, - COUNT(*) AS total_trips, - AVG(fare) AS average_fare -FROM ( - SELECT - trip_seconds, - NTILE(6) OVER (ORDER BY trip_seconds) AS quantile, - fare - FROM - `bigquery-public-data.chicago_taxi_trips.taxi_trips` - WHERE - trip_seconds BETWEEN 0 AND 3600 -) -GROUP BY - quantile -ORDER BY - min_minutes, max_minutes; +SELECT ROUND(MIN(trip_seconds) / 60, 0) AS min_minutes, + ROUND(MAX(trip_seconds) / 60, 0) AS max_minutes, + COUNT(*) AS total_trips, + AVG(fare) AS average_fare +FROM + (SELECT trip_seconds, + NTILE(6) OVER ( + ORDER BY trip_seconds) AS quantile, + fare + FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips` + WHERE trip_seconds BETWEEN 0 AND 3600) +GROUP BY quantile +ORDER BY min_minutes, + max_minutes; diff --git a/spider2/queries/lite_bq025.sql b/spider2/queries/lite_bq025.sql index 645e42ce7abc6cb34dbc368743e12c2791ff18e4..01832c428ad9693e85a0d5a19820f6308f876ccb 100644 --- a/spider2/queries/lite_bq025.sql +++ b/spider2/queries/lite_bq025.sql @@ -1,33 +1,20 @@ -SELECT - age.country_name, - SUM(age.population) AS under_25, - pop.midyear_population AS total, - ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 -FROM ( - SELECT - country_name, - population, - country_code - FROM - `bigquery-public-data.census_bureau_international.midyear_population_agespecific` - WHERE - year =2020 - AND age < 20) age -INNER JOIN ( - SELECT - midyear_population, - country_code - FROM - `bigquery-public-data.census_bureau_international.midyear_population` - WHERE - year = 2020) pop -ON - age.country_code = pop.country_code -GROUP BY - 1, - 3 -ORDER BY - 4 DESC -/* Remove limit for visualization */ -LIMIT - 10 +SELECT age.country_name, + SUM(age.population) AS under_25, + pop.midyear_population AS total, + ROUND((SUM(age.population) / pop.midyear_population) * 100, 2) AS pct_under_25 +FROM + (SELECT country_name, + population, + country_code + FROM `bigquery-public-data.census_bureau_international.midyear_population_agespecific` + WHERE YEAR =2020 + AND age < 20) age +INNER JOIN + (SELECT midyear_population, + country_code + FROM `bigquery-public-data.census_bureau_international.midyear_population` + WHERE YEAR = 2020) pop ON age.country_code = pop.country_code +GROUP BY 1, + 3 +ORDER BY 4 DESC /* Remove limit for visualization */ +LIMIT 10 diff --git a/spider2/queries/lite_bq031.sql b/spider2/queries/lite_bq031.sql index c48b5b3aa21d676fa141057174dafb3328dd2f67..9223d9baa2652a0e14e4c4d42fd4a471e50d8952 100644 --- a/spider2/queries/lite_bq031.sql +++ b/spider2/queries/lite_bq031.sql @@ -1,127 +1,135 @@ -WITH transrate AS ( - SELECT - DATE(CAST(year AS INT64), CAST(mo AS INT64), CAST(da AS INT64)) AS observation_date - , ROUND((temp - 32.0) / 1.8, 1) AS temp_mean_c -- using Celsius instead of Fahrenheit - , ROUND(prcp * 2.54, 1) AS prcp_cm -- from inches to centimeters - , ROUND(CAST(wdsp AS FLOAT64) * 1.852 / 3.6, 1) AS wdsp_ms -- from knots to meters per second - FROM `bigquery-public-data.noaa_gsod.gsod*` - WHERE _TABLE_SUFFIX = "2019" - AND CAST(mo AS INT64) <= 3 - AND stn in (SELECT usaf FROM `bigquery-public-data.noaa_gsod.stations` WHERE name = "ROCHESTER") -), +WITH transrate AS + (SELECT DATE(CAST(YEAR AS INT64), CAST(mo AS INT64), CAST(da AS INT64)) AS observation_date , + ROUND((TEMP - 32.0) / 1.8, 1) AS temp_mean_c -- using Celsius instead of Fahrenheit + , + ROUND(prcp * 2.54, 1) AS prcp_cm -- from inches to centimeters + , + ROUND(CAST(wdsp AS FLOAT64) * 1.852 / 3.6, 1) AS wdsp_ms -- from knots to meters per second -moving_avg AS ( - SELECT - observation_date - , temp_mean_c - , prcp_cm - , wdsp_ms - , AVG(temp_mean_c) OVER (ORDER BY observation_date ROWS 7 PRECEDING) AS temp_moving_avg - , AVG(prcp_cm) OVER (ORDER BY observation_date ROWS 7 PRECEDING) AS prcp_moving_avg - , AVG(wdsp_ms) OVER (ORDER BY observation_date ROWS 7 PRECEDING) AS wdsp_moving_avg - FROM transrate -), - -lag_moving_avg AS ( - SELECT - observation_date - , temp_mean_c - , prcp_cm - , wdsp_ms - , LAG(temp_moving_avg, 1) OVER (ORDER BY observation_date) AS lag1_temp_moving_avg - , LAG(prcp_moving_avg, 1) OVER (ORDER BY observation_date) AS lag1_prcp_moving_avg - , LAG(wdsp_moving_avg, 1) OVER (ORDER BY observation_date) AS lag1_wdsp_moving_avg - - , LAG(temp_moving_avg, 2) OVER (ORDER BY observation_date) AS lag2_temp_moving_avg - , LAG(prcp_moving_avg, 2) OVER (ORDER BY observation_date) AS lag2_prcp_moving_avg - , LAG(wdsp_moving_avg, 2) OVER (ORDER BY observation_date) AS lag2_wdsp_moving_avg - - , LAG(temp_moving_avg, 3) OVER (ORDER BY observation_date) AS lag3_temp_moving_avg - , LAG(prcp_moving_avg, 3) OVER (ORDER BY observation_date) AS lag3_prcp_moving_avg - , LAG(wdsp_moving_avg, 3) OVER (ORDER BY observation_date) AS lag3_wdsp_moving_avg - - , LAG(temp_moving_avg, 4) OVER (ORDER BY observation_date) AS lag4_temp_moving_avg - , LAG(prcp_moving_avg, 4) OVER (ORDER BY observation_date) AS lag4_prcp_moving_avg - , LAG(wdsp_moving_avg, 4) OVER (ORDER BY observation_date) AS lag4_wdsp_moving_avg - - , LAG(temp_moving_avg, 5) OVER (ORDER BY observation_date) AS lag5_temp_moving_avg - , LAG(prcp_moving_avg, 5) OVER (ORDER BY observation_date) AS lag5_prcp_moving_avg - , LAG(wdsp_moving_avg, 5) OVER (ORDER BY observation_date) AS lag5_wdsp_moving_avg - - , LAG(temp_moving_avg, 6) OVER (ORDER BY observation_date) AS lag6_temp_moving_avg - , LAG(prcp_moving_avg, 6) OVER (ORDER BY observation_date) AS lag6_prcp_moving_avg - , LAG(wdsp_moving_avg, 6) OVER (ORDER BY observation_date) AS lag6_wdsp_moving_avg - - , LAG(temp_moving_avg, 7) OVER (ORDER BY observation_date) AS lag7_temp_moving_avg - , LAG(prcp_moving_avg, 7) OVER (ORDER BY observation_date) AS lag7_prcp_moving_avg - , LAG(wdsp_moving_avg, 7) OVER (ORDER BY observation_date) AS lag7_wdsp_moving_avg - - , LAG(temp_moving_avg, 8) OVER (ORDER BY observation_date) AS lag8_temp_moving_avg - , LAG(prcp_moving_avg, 8) OVER (ORDER BY observation_date) AS lag8_prcp_moving_avg - , LAG(wdsp_moving_avg, 8) OVER (ORDER BY observation_date) AS lag8_wdsp_moving_avg - FROM moving_avg -) - -SELECT - observation_date - , temp_mean_c - , prcp_cm - , wdsp_ms - - , ROUND(lag1_temp_moving_avg, 1) AS lag1_temp_moving_avg - , ROUND(lag1_prcp_moving_avg, 1) AS lag1_prcp_moving_avg - , ROUND(lag1_wdsp_moving_avg, 1) AS lag1_wdsp_moving_avg - - , ROUND(lag1_temp_moving_avg - lag2_temp_moving_avg, 1) AS diff2_temp_moving_avg - , ROUND(lag1_prcp_moving_avg - lag2_prcp_moving_avg, 1) AS diff2_prcp_moving_avg - , ROUND(lag1_wdsp_moving_avg - lag2_wdsp_moving_avg, 1) AS diff2_wdsp_moving_avg - , ROUND(lag2_temp_moving_avg, 1) AS lag2_temp_moving_avg - , ROUND(lag2_prcp_moving_avg, 1) AS lag2_prcp_moving_avg - , ROUND(lag2_wdsp_moving_avg, 1) AS lag2_wdsp_moving_avg - - , ROUND(lag2_temp_moving_avg - lag3_temp_moving_avg, 1) AS diff3_temp_moving_avg - , ROUND(lag2_prcp_moving_avg - lag3_prcp_moving_avg, 1) AS diff3_prcp_moving_avg - , ROUND(lag2_wdsp_moving_avg - lag3_wdsp_moving_avg, 1) AS diff3_wdsp_moving_avg - , ROUND(lag3_temp_moving_avg, 1) AS lag3_temp_moving_avg - , ROUND(lag3_prcp_moving_avg, 1) AS lag3_prcp_moving_avg - , ROUND(lag3_wdsp_moving_avg, 1) AS lag3_wdsp_moving_avg - - , ROUND(lag3_temp_moving_avg - lag4_temp_moving_avg, 1) AS diff4_temp_moving_avg - , ROUND(lag3_prcp_moving_avg - lag4_prcp_moving_avg, 1) AS diff4_prcp_moving_avg - , ROUND(lag3_wdsp_moving_avg - lag4_wdsp_moving_avg, 1) AS diff4_wdsp_moving_avg - , ROUND(lag4_temp_moving_avg, 1) AS lag4_temp_moving_avg - , ROUND(lag4_prcp_moving_avg, 1) AS lag4_prcp_moving_avg - , ROUND(lag4_wdsp_moving_avg, 1) AS lag4_wdsp_moving_avg - - , ROUND(lag4_temp_moving_avg - lag5_temp_moving_avg, 1) AS diff5_temp_moving_avg - , ROUND(lag4_prcp_moving_avg - lag5_prcp_moving_avg, 1) AS diff5_prcp_moving_avg - , ROUND(lag4_wdsp_moving_avg - lag5_wdsp_moving_avg, 1) AS diff5_wdsp_moving_avg - , ROUND(lag5_temp_moving_avg, 1) AS lag5_temp_moving_avg - , ROUND(lag5_prcp_moving_avg, 1) AS lag5_prcp_moving_avg - , ROUND(lag5_wdsp_moving_avg, 1) AS lag5_wdsp_moving_avg - - , ROUND(lag5_temp_moving_avg - lag6_temp_moving_avg, 1) AS diff6_temp_moving_avg - , ROUND(lag5_prcp_moving_avg - lag6_prcp_moving_avg, 1) AS diff6_prcp_moving_avg - , ROUND(lag5_wdsp_moving_avg - lag6_wdsp_moving_avg, 1) AS diff6_wdsp_moving_avg - , ROUND(lag6_temp_moving_avg, 1) AS lag6_temp_moving_avg - , ROUND(lag6_prcp_moving_avg, 1) AS lag6_prcp_moving_avg - , ROUND(lag6_wdsp_moving_avg, 1) AS lag6_wdsp_moving_avg - - , ROUND(lag6_temp_moving_avg - lag7_temp_moving_avg, 1) AS diff7_temp_moving_avg - , ROUND(lag6_prcp_moving_avg - lag7_prcp_moving_avg, 1) AS diff7_prcp_moving_avg - , ROUND(lag6_wdsp_moving_avg - lag7_wdsp_moving_avg, 1) AS diff7_wdsp_moving_avg - , ROUND(lag7_temp_moving_avg, 1) AS lag7_temp_moving_avg - , ROUND(lag7_prcp_moving_avg, 1) AS lag7_prcp_moving_avg - , ROUND(lag7_wdsp_moving_avg, 1) AS lag7_wdsp_moving_avg - - , ROUND(lag7_temp_moving_avg - lag8_temp_moving_avg, 1) AS diff8_temp_moving_avg - , ROUND(lag7_prcp_moving_avg - lag8_prcp_moving_avg, 1) AS diff8_prcp_moving_avg - , ROUND(lag7_wdsp_moving_avg - lag8_wdsp_moving_avg, 1) AS diff8_wdsp_moving_avg - , ROUND(lag8_temp_moving_avg, 1) AS lag8_temp_moving_avg - , ROUND(lag8_prcp_moving_avg, 1) AS lag8_prcp_moving_avg - , ROUND(lag8_wdsp_moving_avg, 1) AS lag8_wdsp_moving_avg + FROM `bigquery-public-data.noaa_gsod.gsod*` + WHERE _TABLE_SUFFIX = "2019" + AND CAST(mo AS INT64) <= 3 + AND stn IN + (SELECT usaf + FROM `bigquery-public-data.noaa_gsod.stations` + WHERE name = "ROCHESTER")), + moving_avg AS + (SELECT observation_date , + temp_mean_c , + prcp_cm , + wdsp_ms , + AVG(temp_mean_c) OVER ( + ORDER BY observation_date ROWS 7 PRECEDING) AS temp_moving_avg , + AVG(prcp_cm) OVER ( + ORDER BY observation_date ROWS 7 PRECEDING) AS prcp_moving_avg , + AVG(wdsp_ms) OVER ( + ORDER BY observation_date ROWS 7 PRECEDING) AS wdsp_moving_avg + FROM transrate), + lag_moving_avg AS + (SELECT observation_date , + temp_mean_c , + prcp_cm , + wdsp_ms , + LAG(temp_moving_avg, 1) OVER ( + ORDER BY observation_date) AS lag1_temp_moving_avg , + LAG(prcp_moving_avg, 1) OVER ( + ORDER BY observation_date) AS lag1_prcp_moving_avg , + LAG(wdsp_moving_avg, 1) OVER ( + ORDER BY observation_date) AS lag1_wdsp_moving_avg , + LAG(temp_moving_avg, 2) OVER ( + ORDER BY observation_date) AS lag2_temp_moving_avg , + LAG(prcp_moving_avg, 2) OVER ( + ORDER BY observation_date) AS lag2_prcp_moving_avg , + LAG(wdsp_moving_avg, 2) OVER ( + ORDER BY observation_date) AS lag2_wdsp_moving_avg , + LAG(temp_moving_avg, 3) OVER ( + ORDER BY observation_date) AS lag3_temp_moving_avg , + LAG(prcp_moving_avg, 3) OVER ( + ORDER BY observation_date) AS lag3_prcp_moving_avg , + LAG(wdsp_moving_avg, 3) OVER ( + ORDER BY observation_date) AS lag3_wdsp_moving_avg , + LAG(temp_moving_avg, 4) OVER ( + ORDER BY observation_date) AS lag4_temp_moving_avg , + LAG(prcp_moving_avg, 4) OVER ( + ORDER BY observation_date) AS lag4_prcp_moving_avg , + LAG(wdsp_moving_avg, 4) OVER ( + ORDER BY observation_date) AS lag4_wdsp_moving_avg , + LAG(temp_moving_avg, 5) OVER ( + ORDER BY observation_date) AS lag5_temp_moving_avg , + LAG(prcp_moving_avg, 5) OVER ( + ORDER BY observation_date) AS lag5_prcp_moving_avg , + LAG(wdsp_moving_avg, 5) OVER ( + ORDER BY observation_date) AS lag5_wdsp_moving_avg , + LAG(temp_moving_avg, 6) OVER ( + ORDER BY observation_date) AS lag6_temp_moving_avg , + LAG(prcp_moving_avg, 6) OVER ( + ORDER BY observation_date) AS lag6_prcp_moving_avg , + LAG(wdsp_moving_avg, 6) OVER ( + ORDER BY observation_date) AS lag6_wdsp_moving_avg , + LAG(temp_moving_avg, 7) OVER ( + ORDER BY observation_date) AS lag7_temp_moving_avg , + LAG(prcp_moving_avg, 7) OVER ( + ORDER BY observation_date) AS lag7_prcp_moving_avg , + LAG(wdsp_moving_avg, 7) OVER ( + ORDER BY observation_date) AS lag7_wdsp_moving_avg , + LAG(temp_moving_avg, 8) OVER ( + ORDER BY observation_date) AS lag8_temp_moving_avg , + LAG(prcp_moving_avg, 8) OVER ( + ORDER BY observation_date) AS lag8_prcp_moving_avg , + LAG(wdsp_moving_avg, 8) OVER ( + ORDER BY observation_date) AS lag8_wdsp_moving_avg + FROM moving_avg) +SELECT observation_date , + temp_mean_c , + prcp_cm , + wdsp_ms , + ROUND(lag1_temp_moving_avg, 1) AS lag1_temp_moving_avg , + ROUND(lag1_prcp_moving_avg, 1) AS lag1_prcp_moving_avg , + ROUND(lag1_wdsp_moving_avg, 1) AS lag1_wdsp_moving_avg , + ROUND(lag1_temp_moving_avg - lag2_temp_moving_avg, 1) AS diff2_temp_moving_avg , + ROUND(lag1_prcp_moving_avg - lag2_prcp_moving_avg, 1) AS diff2_prcp_moving_avg , + ROUND(lag1_wdsp_moving_avg - lag2_wdsp_moving_avg, 1) AS diff2_wdsp_moving_avg , + ROUND(lag2_temp_moving_avg, 1) AS lag2_temp_moving_avg , + ROUND(lag2_prcp_moving_avg, 1) AS lag2_prcp_moving_avg , + ROUND(lag2_wdsp_moving_avg, 1) AS lag2_wdsp_moving_avg , + ROUND(lag2_temp_moving_avg - lag3_temp_moving_avg, 1) AS diff3_temp_moving_avg , + ROUND(lag2_prcp_moving_avg - lag3_prcp_moving_avg, 1) AS diff3_prcp_moving_avg , + ROUND(lag2_wdsp_moving_avg - lag3_wdsp_moving_avg, 1) AS diff3_wdsp_moving_avg , + ROUND(lag3_temp_moving_avg, 1) AS lag3_temp_moving_avg , + ROUND(lag3_prcp_moving_avg, 1) AS lag3_prcp_moving_avg , + ROUND(lag3_wdsp_moving_avg, 1) AS lag3_wdsp_moving_avg , + ROUND(lag3_temp_moving_avg - lag4_temp_moving_avg, 1) AS diff4_temp_moving_avg , + ROUND(lag3_prcp_moving_avg - lag4_prcp_moving_avg, 1) AS diff4_prcp_moving_avg , + ROUND(lag3_wdsp_moving_avg - lag4_wdsp_moving_avg, 1) AS diff4_wdsp_moving_avg , + ROUND(lag4_temp_moving_avg, 1) AS lag4_temp_moving_avg , + ROUND(lag4_prcp_moving_avg, 1) AS lag4_prcp_moving_avg , + ROUND(lag4_wdsp_moving_avg, 1) AS lag4_wdsp_moving_avg , + ROUND(lag4_temp_moving_avg - lag5_temp_moving_avg, 1) AS diff5_temp_moving_avg , + ROUND(lag4_prcp_moving_avg - lag5_prcp_moving_avg, 1) AS diff5_prcp_moving_avg , + ROUND(lag4_wdsp_moving_avg - lag5_wdsp_moving_avg, 1) AS diff5_wdsp_moving_avg , + ROUND(lag5_temp_moving_avg, 1) AS lag5_temp_moving_avg , + ROUND(lag5_prcp_moving_avg, 1) AS lag5_prcp_moving_avg , + ROUND(lag5_wdsp_moving_avg, 1) AS lag5_wdsp_moving_avg , + ROUND(lag5_temp_moving_avg - lag6_temp_moving_avg, 1) AS diff6_temp_moving_avg , + ROUND(lag5_prcp_moving_avg - lag6_prcp_moving_avg, 1) AS diff6_prcp_moving_avg , + ROUND(lag5_wdsp_moving_avg - lag6_wdsp_moving_avg, 1) AS diff6_wdsp_moving_avg , + ROUND(lag6_temp_moving_avg, 1) AS lag6_temp_moving_avg , + ROUND(lag6_prcp_moving_avg, 1) AS lag6_prcp_moving_avg , + ROUND(lag6_wdsp_moving_avg, 1) AS lag6_wdsp_moving_avg , + ROUND(lag6_temp_moving_avg - lag7_temp_moving_avg, 1) AS diff7_temp_moving_avg , + ROUND(lag6_prcp_moving_avg - lag7_prcp_moving_avg, 1) AS diff7_prcp_moving_avg , + ROUND(lag6_wdsp_moving_avg - lag7_wdsp_moving_avg, 1) AS diff7_wdsp_moving_avg , + ROUND(lag7_temp_moving_avg, 1) AS lag7_temp_moving_avg , + ROUND(lag7_prcp_moving_avg, 1) AS lag7_prcp_moving_avg , + ROUND(lag7_wdsp_moving_avg, 1) AS lag7_wdsp_moving_avg , + ROUND(lag7_temp_moving_avg - lag8_temp_moving_avg, 1) AS diff8_temp_moving_avg , + ROUND(lag7_prcp_moving_avg - lag8_prcp_moving_avg, 1) AS diff8_prcp_moving_avg , + ROUND(lag7_wdsp_moving_avg - lag8_wdsp_moving_avg, 1) AS diff8_wdsp_moving_avg , + ROUND(lag8_temp_moving_avg, 1) AS lag8_temp_moving_avg , + ROUND(lag8_prcp_moving_avg, 1) AS lag8_prcp_moving_avg , + ROUND(lag8_wdsp_moving_avg, 1) AS lag8_wdsp_moving_avg FROM lag_moving_avg -WHERE - lag8_temp_moving_avg IS NOT NULL +WHERE lag8_temp_moving_avg IS NOT NULL ORDER BY observation_date; + -- all result rounded to 1 decimal place diff --git a/spider2/queries/lite_bq032.sql b/spider2/queries/lite_bq032.sql index e9a946019d2cfcbf3e254ff718157fc0265f273b..04e8f71f03c961b76bc7712a14ddee4a283b8d18 100644 --- a/spider2/queries/lite_bq032.sql +++ b/spider2/queries/lite_bq032.sql @@ -1,56 +1,40 @@ -WITH hurricane_geometry AS ( - SELECT - * EXCEPT (longitude, latitude), - ST_GEOGPOINT(longitude, latitude) AS geom, - MAX(usa_wind) OVER (PARTITION BY sid) AS max_wnd_speed - FROM - `bigquery-public-data.noaa_hurricanes.hurricanes` - WHERE - season = '2020' - AND basin = 'NA' - AND name != 'NOT NAMED' -), -dist_between_points AS ( - SELECT - sid, - name, - season, - iso_time, - max_wnd_speed, - geom, - ST_DISTANCE(geom, LAG(geom, 1) OVER (PARTITION BY sid ORDER BY iso_time ASC)) / 1000 AS dist - FROM - hurricane_geometry -), -total_distances AS ( - SELECT - sid, - name, - season, - iso_time, - max_wnd_speed, - geom, - SUM(dist) OVER (PARTITION BY sid ORDER BY iso_time ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_distance, - SUM(dist) OVER (PARTITION BY sid) AS total_dist - FROM - dist_between_points -), -ranked_hurricanes AS ( - SELECT - *, - DENSE_RANK() OVER (ORDER BY total_dist DESC) AS dense_rank - FROM - total_distances -) - -SELECT - ST_Y(geom) -FROM - ranked_hurricanes -WHERE - dense_rank = 2 -ORDER BY -cumulative_distance -DESC -LIMIT 1 -; +WITH hurricane_geometry AS + (SELECT * + EXCEPT (longitude, + latitude), ST_GEOGPOINT(longitude, latitude) AS geom, + MAX(usa_wind) OVER (PARTITION BY sid) AS max_wnd_speed + FROM `bigquery-public-data.noaa_hurricanes.hurricanes` + WHERE season = '2020' + AND basin = 'NA' + AND name != 'NOT NAMED'), + dist_between_points AS + (SELECT sid, + name, + season, + iso_time, + max_wnd_speed, + geom, + ST_DISTANCE(geom, LAG(geom, 1) OVER (PARTITION BY sid + ORDER BY iso_time ASC)) / 1000 AS dist + FROM hurricane_geometry), + total_distances AS + (SELECT sid, + name, + season, + iso_time, + max_wnd_speed, + geom, + SUM(dist) OVER (PARTITION BY sid + ORDER BY iso_time ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_distance, + SUM(dist) OVER (PARTITION BY sid) AS total_dist + FROM dist_between_points), + ranked_hurricanes AS + (SELECT *, + DENSE_RANK() OVER ( + ORDER BY total_dist DESC) AS dense_rank + FROM total_distances) +SELECT ST_Y(geom) +FROM ranked_hurricanes +WHERE dense_rank = 2 +ORDER BY cumulative_distance DESC +LIMIT 1 ; diff --git a/spider2/queries/lite_bq034.sql b/spider2/queries/lite_bq034.sql index b57f1eb2ea16933c873377b141454286f17e9cc0..20bebdd76b57bb9caf4bbe17c46254bd96795877 100644 --- a/spider2/queries/lite_bq034.sql +++ b/spider2/queries/lite_bq034.sql @@ -1,30 +1,23 @@ -WITH params AS ( - SELECT ST_GeogPoint(-87.6847, 41.8319) AS center, - 50 AS maxdist_km -), -distance_from_center AS ( - SELECT - id, - name, - state, - ST_GeogPoint(longitude, latitude) AS loc, - ST_Distance(ST_GeogPoint(longitude, latitude), params.center) AS dist_meters - FROM - `bigquery-public-data.ghcn_d.ghcnd_stations`, - params - WHERE ST_DWithin(ST_GeogPoint(longitude, latitude), params.center, params.maxdist_km*1000) -), -nearest_stations AS ( - SELECT - *, - RANK() OVER (ORDER BY dist_meters ASC) AS rank - FROM - distance_from_center -), -nearest_nstations AS ( - SELECT - station.* - FROM - nearest_stations AS station, params -) -SELECT * from nearest_nstations +WITH params AS + (SELECT ST_GeogPoint(-87.6847, 41.8319) AS center, + 50 AS maxdist_km), + distance_from_center AS + (SELECT id, + name, + state, + ST_GeogPoint(longitude, latitude) AS loc, + ST_Distance(ST_GeogPoint(longitude, latitude), params.center) AS dist_meters + FROM `bigquery-public-data.ghcn_d.ghcnd_stations`, + params + WHERE ST_DWithin(ST_GeogPoint(longitude, latitude), params.center, params.maxdist_km*1000)), + nearest_stations AS + (SELECT *, + RANK() OVER ( + ORDER BY dist_meters ASC) AS rank + FROM distance_from_center), + nearest_nstations AS + (SELECT station.* + FROM nearest_stations AS station, + params) +SELECT * +FROM nearest_nstations diff --git a/spider2/queries/lite_bq035.sql b/spider2/queries/lite_bq035.sql index 2afc5c45b6b9c8de012498b2c6031f5975b2c50a..5650816a994d78c569a627a77f218f98b34fb167 100644 --- a/spider2/queries/lite_bq035.sql +++ b/spider2/queries/lite_bq035.sql @@ -1,34 +1,22 @@ -SELECT - bike_number, - AVG(dist_in_m) AS avg_dist_m, - SUM(dist_in_m) AS total_dist_m -FROM ( - SELECT - ST_DISTANCE( - ST_GEOGPOINT(start_lon, start_lat), - ST_GEOGPOINT(end_lon, end_lat) - ) AS dist_in_m, - starts.bike_number - FROM ( - SELECT - latitude AS start_lat, - longitude AS start_lon, - bike_number, - trip_id - FROM `bigquery-public-data.san_francisco.bikeshare_trips` trips - LEFT JOIN `bigquery-public-data.san_francisco.bikeshare_stations` stations - ON trips.start_station_id = stations.station_id - ) starts - LEFT JOIN ( - SELECT - latitude AS end_lat, - longitude AS end_lon, - bike_number, - trip_id - FROM `bigquery-public-data.san_francisco.bikeshare_trips` trips - LEFT JOIN `bigquery-public-data.san_francisco.bikeshare_stations` stations - ON trips.end_station_id = stations.station_id - ) ends ON ends.trip_id = starts.trip_id -) +SELECT bike_number, + AVG(dist_in_m) AS avg_dist_m, + SUM(dist_in_m) AS total_dist_m +FROM + (SELECT ST_DISTANCE(ST_GEOGPOINT(start_lon, start_lat), ST_GEOGPOINT(end_lon, end_lat)) AS dist_in_m, + starts.bike_number + FROM + (SELECT latitude AS start_lat, + longitude AS start_lon, + bike_number, + trip_id + FROM `bigquery-public-data.san_francisco.bikeshare_trips` trips + LEFT JOIN `bigquery-public-data.san_francisco.bikeshare_stations` stations ON trips.start_station_id = stations.station_id) starts + LEFT JOIN + (SELECT latitude AS end_lat, + longitude AS end_lon, + bike_number, + trip_id + FROM `bigquery-public-data.san_francisco.bikeshare_trips` trips + LEFT JOIN `bigquery-public-data.san_francisco.bikeshare_stations` stations ON trips.end_station_id = stations.station_id) ends ON ends.trip_id = starts.trip_id) GROUP BY bike_number ORDER BY total_dist_m DESC diff --git a/spider2/queries/lite_bq039.sql b/spider2/queries/lite_bq039.sql index 892b75c69c2d5136e16282be07443998d9fb278d..da475fcb19d626fed3d28c1ef32ec2977b259400 100644 --- a/spider2/queries/lite_bq039.sql +++ b/spider2/queries/lite_bq039.sql @@ -1,32 +1,28 @@ -SELECT - tz.zone_name AS pickup_zone, - tz1.zone_name AS dropoff_zone, - time_duration_in_secs, - driving_speed_miles_per_hour, - tip_rate +SELECT tz.zone_name AS pickup_zone, + tz1.zone_name AS dropoff_zone, + time_duration_in_secs, + driving_speed_miles_per_hour, + tip_rate FROM -( -SELECT *, - TIMESTAMP_DIFF(dropoff_datetime,pickup_datetime,SECOND) as time_duration_in_secs, - ROUND(trip_distance / (TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) / 3600), 2) AS driving_speed_miles_per_hour, - (CASE WHEN total_amount=0 THEN 0 - ELSE (tip_amount*100/total_amount) END) as tip_rate -FROM `bigquery-public-data.new_york_taxi_trips.tlc_yellow_trips_2016` -) t -INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz -ON t.pickup_location_id = tz.zone_id -INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz1 -ON t.dropoff_location_id = tz1.zone_id -WHERE - pickup_datetime BETWEEN '2016-07-01' AND '2016-07-07' - AND dropoff_datetime BETWEEN '2016-07-01' AND '2016-07-07' - AND TIMESTAMP_DIFF(dropoff_datetime,pickup_datetime,SECOND) > 0 - AND passenger_count > 5 - AND trip_distance >= 10 - AND tip_amount >= 0 - AND tolls_amount >= 0 - AND mta_tax >= 0 - AND fare_amount >= 0 - AND total_amount >= 0 + (SELECT *, + TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) AS time_duration_in_secs, + ROUND(trip_distance / (TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) / 3600), 2) AS driving_speed_miles_per_hour, + (CASE + WHEN total_amount=0 THEN 0 + ELSE (tip_amount*100/total_amount) + END) AS tip_rate + FROM `bigquery-public-data.new_york_taxi_trips.tlc_yellow_trips_2016`) t +INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz ON t.pickup_location_id = tz.zone_id +INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz1 ON t.dropoff_location_id = tz1.zone_id +WHERE pickup_datetime BETWEEN '2016-07-01' AND '2016-07-07' + AND dropoff_datetime BETWEEN '2016-07-01' AND '2016-07-07' + AND TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) > 0 + AND passenger_count > 5 + AND trip_distance >= 10 + AND tip_amount >= 0 + AND tolls_amount >= 0 + AND mta_tax >= 0 + AND fare_amount >= 0 + AND total_amount >= 0 ORDER BY total_amount DESC LIMIT 10; diff --git a/spider2/queries/lite_bq042.sql b/spider2/queries/lite_bq042.sql index ff0b36ce42b86cdfd485a72cf84e0113b8849341..8ca5fdb8fc37686facb97b57a2b6c07f9b3f1e2c 100644 --- a/spider2/queries/lite_bq042.sql +++ b/spider2/queries/lite_bq042.sql @@ -1,25 +1,13 @@ -SELECT - -- Create a timestamp from the date components. - TIMESTAMP(CONCAT(year,"-",mo,"-",da)) AS timestamp, - -- Replace numerical null values with actual null - AVG(IF (temp=9999.9, - null, - temp)) AS temperature, - AVG(IF (wdsp="999.9", - null, - CAST(wdsp AS Float64))) AS wind_speed, - AVG(IF (prcp=99.99, - 0, - prcp)) AS precipitation -FROM - `bigquery-public-data.noaa_gsod.gsod20*` -WHERE - CAST(YEAR AS INT64) > 2010 +SELECT -- Create a timestamp from the date components. + TIMESTAMP(CONCAT(YEAR, "-", mo, "-", da)) AS timestamp, -- Replace numerical null values with actual null + AVG(IF (TEMP=9999.9, NULL, TEMP)) AS temperature, + AVG(IF (wdsp="999.9", NULL, CAST(wdsp AS Float64))) AS wind_speed, + AVG(IF (prcp=99.99, 0, prcp)) AS precipitation +FROM `bigquery-public-data.noaa_gsod.gsod20*` +WHERE CAST(YEAR AS INT64) > 2010 AND CAST(YEAR AS INT64) < 2021 AND CAST(MO AS INT64) = 6 AND CAST(DA AS INT64) = 12 AND stn = "725030" -- La Guardia -GROUP BY - timestamp -ORDER BY - timestamp ASC; +GROUP BY timestamp +ORDER BY timestamp ASC; diff --git a/spider2/queries/lite_bq045.sql b/spider2/queries/lite_bq045.sql index 15dd1358ae160d1fea11fc345a7978e461e22178..b021a2819a0adfcc2fd86dad1ee83ae89c3772bf 100644 --- a/spider2/queries/lite_bq045.sql +++ b/spider2/queries/lite_bq045.sql @@ -1,85 +1,41 @@ -WITH WashingtonStations2023 AS - ( - SELECT - weather.stn AS station_id, - ANY_VALUE(station.name) AS name - FROM - `bigquery-public-data.noaa_gsod.stations` AS station - INNER JOIN - `bigquery-public-data.noaa_gsod.gsod2023` AS weather - ON - station.usaf = weather.stn - WHERE - station.state = 'WA' - AND - station.usaf != '999999' - GROUP BY - station_id - ), -prcp2023 AS ( -SELECT - washington_stations.name, - ( - SELECT - COUNT(*) - FROM - `bigquery-public-data.noaa_gsod.gsod2023` AS weather - WHERE - washington_stations.station_id = weather.stn - AND - prcp > 0 - AND - prcp !=99.99 - ) - AS rainy_days -FROM - WashingtonStations2023 AS washington_stations -ORDER BY - rainy_days DESC -), -WashingtonStations2022 AS - ( - SELECT - weather.stn AS station_id, - ANY_VALUE(station.name) AS name - FROM - `bigquery-public-data.noaa_gsod.stations` AS station - INNER JOIN - `bigquery-public-data.noaa_gsod.gsod2022` AS weather - ON - station.usaf = weather.stn - WHERE - station.state = 'WA' - AND - station.usaf != '999999' - GROUP BY - station_id - ), -prcp2022 AS ( -SELECT - washington_stations.name, - ( - SELECT - COUNT(*) - FROM - `bigquery-public-data.noaa_gsod.gsod2022` AS weather - WHERE - washington_stations.station_id = weather.stn - AND - prcp > 0 - AND - prcp != 99.99 - ) - AS rainy_days -FROM - WashingtonStations2022 AS washington_stations -ORDER BY - rainy_days DESC -) +WITH WashingtonStations2023 AS + (SELECT weather.stn AS station_id, + ANY_VALUE(station.name) AS name + FROM `bigquery-public-data.noaa_gsod.stations` AS station + INNER JOIN `bigquery-public-data.noaa_gsod.gsod2023` AS weather ON station.usaf = weather.stn + WHERE station.state = 'WA' + AND station.usaf != '999999' + GROUP BY station_id), + prcp2023 AS + (SELECT washington_stations.name, + (SELECT COUNT(*) + FROM `bigquery-public-data.noaa_gsod.gsod2023` AS weather + WHERE washington_stations.station_id = weather.stn + AND prcp > 0 + AND prcp !=99.99) AS rainy_days + FROM WashingtonStations2023 AS washington_stations + ORDER BY rainy_days DESC), + WashingtonStations2022 AS + (SELECT weather.stn AS station_id, + ANY_VALUE(station.name) AS name + FROM `bigquery-public-data.noaa_gsod.stations` AS station + INNER JOIN `bigquery-public-data.noaa_gsod.gsod2022` AS weather ON station.usaf = weather.stn + WHERE station.state = 'WA' + AND station.usaf != '999999' + GROUP BY station_id), + prcp2022 AS + (SELECT washington_stations.name, + + (SELECT COUNT(*) + FROM `bigquery-public-data.noaa_gsod.gsod2022` AS weather + WHERE washington_stations.station_id = weather.stn + AND prcp > 0 + AND prcp != 99.99) AS rainy_days + FROM WashingtonStations2022 AS washington_stations + ORDER BY rainy_days DESC) SELECT prcp2023.name FROM prcp2023 -JOIN prcp2022 -on prcp2023.name = prcp2022.name +JOIN prcp2022 ON prcp2023.name = prcp2022.name WHERE prcp2023.rainy_days > 150 -AND prcp2023.rainy_days < prcp2022.rainy_days + AND prcp2023.rainy_days < prcp2022.rainy_days diff --git a/spider2/queries/lite_bq049.sql b/spider2/queries/lite_bq049.sql index a67a1760734cd82a623b64ad6cb98f0655bb0ada..c05d04bc269cea5a496564bbfe9da6aa220c232a 100644 --- a/spider2/queries/lite_bq049.sql +++ b/spider2/queries/lite_bq049.sql @@ -1,92 +1,67 @@ -WITH DUBUQUE_LIQUOR_CTE AS ( -SELECT - CASE - WHEN UPPER(category_name) LIKE 'BUTTERSCOTCH SCHNAPPS' THEN 'All Other' --Edge case is not a scotch - WHEN UPPER(category_name) LIKE '%WHISKIES' - AND UPPER(category_name) NOT LIKE '%RYE%' - AND UPPER(category_name) NOT LIKE '%BOURBON%' - AND UPPER(category_name) NOT LIKE '%SCOTCH%' THEN 'Other Whiskey' - WHEN UPPER(category_name) LIKE '%RYE%' THEN 'Rye Whiskey' - WHEN UPPER(category_name) LIKE '%BOURBON%' THEN 'Bourbon Whiskey' - WHEN UPPER(category_name) LIKE '%SCOTCH%' THEN 'Scotch Whiskey' - ELSE 'All Other' - END AS category_group, - EXTRACT(MONTH FROM date) AS month, -- At the time of this query, there is only data until month 6. - LEFT(CAST(zip_code AS string),5) AS zip_code, -- Casting to string necessary because zip_code has a mix of int & str types. - ROUND(SUM(sale_dollars), 2) AS sale_dollars_sum, +WITH DUBUQUE_LIQUOR_CTE AS + (SELECT CASE + WHEN UPPER(category_name) LIKE 'BUTTERSCOTCH SCHNAPPS' THEN 'All Other' --Edge case is not a scotch -FROM - bigquery-public-data.iowa_liquor_sales.sales - -WHERE - UPPER(county) = 'DUBUQUE' - AND EXTRACT(YEAR FROM date) = 2022 - -GROUP BY - category_group, - month, - zip_code - -ORDER BY - category_group, - month, - zip_code -), - -DUBUQUE_POPULATION_CTE AS ( -SELECT - zipcode, - SUM(population) AS population_sum -FROM bigquery-public-data.census_bureau_usa.population_by_zip_2010 -WHERE - minimum_age >= 21 -GROUP BY - zipcode -), -MONTH_INFO AS ( -SELECT - l.month, - l.zip_code, - l.sale_dollars_sum, - ROUND(sale_dollars_sum/p.population_sum, 2) AS dollars_per_capita -FROM - DUBUQUE_LIQUOR_CTE AS l - LEFT JOIN - DUBUQUE_POPULATION_CTE AS p - ON l.zip_code = p.zipcode -WHERE - category_group = 'Bourbon Whiskey' -GROUP BY - category_group, - zip_code, - month, - sale_dollars_sum, - zipcode, - population_sum -ORDER BY - zip_code, - month -), -zip_code_sales AS ( - SELECT - zip_code, - SUM(sale_dollars_sum) AS total_sale_dollars_sum - FROM MONTH_INFO - GROUP BY zip_code -), -ranked_zip_codes AS ( - SELECT - zip_code, - total_sale_dollars_sum, - ROW_NUMBER() OVER (ORDER BY total_sale_dollars_sum DESC) AS rank - FROM zip_code_sales -) -SELECT - t.month, - t.zip_code, - t.dollars_per_capita + WHEN UPPER(category_name) LIKE '%WHISKIES' + AND UPPER(category_name) NOT LIKE '%RYE%' + AND UPPER(category_name) NOT LIKE '%BOURBON%' + AND UPPER(category_name) NOT LIKE '%SCOTCH%' THEN 'Other Whiskey' + WHEN UPPER(category_name) LIKE '%RYE%' THEN 'Rye Whiskey' + WHEN UPPER(category_name) LIKE '%BOURBON%' THEN 'Bourbon Whiskey' + WHEN UPPER(category_name) LIKE '%SCOTCH%' THEN 'Scotch Whiskey' + ELSE 'All Other' + END AS category_group, + EXTRACT(MONTH + FROM date) AS MONTH, -- At the time of this query, there is only data until month 6. + LEFT(CAST(zip_code AS string), 5) AS zip_code, -- Casting to string necessary because zip_code has a mix of int & str types. + ROUND(SUM(sale_dollars), 2) AS sale_dollars_sum, + FROM bigquery-PUBLIC-data.iowa_liquor_sales.sales + WHERE UPPER(county) = 'DUBUQUE' + AND EXTRACT(YEAR + FROM date) = 2022 + GROUP BY category_group, + MONTH, + zip_code + ORDER BY category_group, + MONTH, + zip_code), + DUBUQUE_POPULATION_CTE AS + (SELECT zipcode, + SUM(population) AS population_sum + FROM bigquery-PUBLIC-data.census_bureau_usa.population_by_zip_2010 + WHERE minimum_age >= 21 + GROUP BY zipcode), + MONTH_INFO AS + (SELECT l.month, + l.zip_code, + l.sale_dollars_sum, + ROUND(sale_dollars_sum/p.population_sum, 2) AS dollars_per_capita + FROM DUBUQUE_LIQUOR_CTE AS l + LEFT JOIN DUBUQUE_POPULATION_CTE AS p ON l.zip_code = p.zipcode + WHERE category_group = 'Bourbon Whiskey' + GROUP BY category_group, + zip_code, + MONTH, + sale_dollars_sum, + zipcode, + population_sum + ORDER BY zip_code, + MONTH), + zip_code_sales AS + (SELECT zip_code, + SUM(sale_dollars_sum) AS total_sale_dollars_sum + FROM MONTH_INFO + GROUP BY zip_code), + ranked_zip_codes AS + (SELECT zip_code, + total_sale_dollars_sum, + ROW_NUMBER() OVER ( + ORDER BY total_sale_dollars_sum DESC) AS rank + FROM zip_code_sales) +SELECT t.month, + t.zip_code, + t.dollars_per_capita FROM MONTH_INFO t -JOIN ranked_zip_codes r -ON t.zip_code = r.zip_code +JOIN ranked_zip_codes r ON t.zip_code = r.zip_code WHERE r.rank = 3 ORDER BY t.month; diff --git a/spider2/queries/lite_bq053.sql b/spider2/queries/lite_bq053.sql index 8a327b5082e743317be1c626d7f78251c4b3646b..953b67a601fd2f822b7ba8f24993857f1d79b230 100644 --- a/spider2/queries/lite_bq053.sql +++ b/spider2/queries/lite_bq053.sql @@ -1,48 +1,26 @@ -SELECT - c.fall_color, - SUM(d.count_growth) AS change -FROM ( - SELECT - fall_color, - UPPER(species_scientific_name) AS latin - FROM - `bigquery-public-data.new_york.tree_species`)c -JOIN ( - SELECT - IFNULL(a.upper_latin, - b.upper_latin) AS latin, - (IFNULL(count_2015, - 0)-IFNULL(count_1995, - 0)) AS count_growth - FROM ( - SELECT - UPPER(spc_latin) AS upper_latin, - spc_common, - COUNT(*) AS count_2015 - FROM - `bigquery-public-data.new_york.tree_census_2015` - WHERE - status="Alive" - GROUP BY - spc_latin, - spc_common)a - FULL OUTER JOIN ( - SELECT - UPPER(spc_latin) AS upper_latin, - COUNT(*) AS count_1995 - FROM - `bigquery-public-data.new_york.tree_census_1995` - WHERE - status !="Dead" - GROUP BY - spc_latin)b - ON - a.upper_latin=b.upper_latin - ORDER BY - count_growth DESC)d -ON - d.latin=c.latin -GROUP BY - fall_color -ORDER BY - change DESC +SELECT c.fall_color, + SUM(d.count_growth) AS CHANGE +FROM + (SELECT fall_color, + UPPER(species_scientific_name) AS latin + FROM `bigquery-public-data.new_york.tree_species`)c +JOIN + (SELECT IFNULL(a.upper_latin, b.upper_latin) AS latin, + (IFNULL(count_2015, 0)-IFNULL(count_1995, 0)) AS count_growth + FROM + (SELECT UPPER(spc_latin) AS upper_latin, + spc_common, + COUNT(*) AS count_2015 + FROM `bigquery-public-data.new_york.tree_census_2015` + WHERE status="Alive" + GROUP BY spc_latin, + spc_common)a + FULL OUTER JOIN + (SELECT UPPER(spc_latin) AS upper_latin, + COUNT(*) AS count_1995 + FROM `bigquery-public-data.new_york.tree_census_1995` + WHERE status !="Dead" + GROUP BY spc_latin)b ON a.upper_latin=b.upper_latin + ORDER BY count_growth DESC)d ON d.latin=c.latin +GROUP BY fall_color +ORDER BY CHANGE DESC diff --git a/spider2/queries/lite_bq059.sql b/spider2/queries/lite_bq059.sql index 36dc168aa4218421b450f759807b90a8258c15af..ebd3ae473e1c1f8cb29b221008ea4b3dfd0b47af 100644 --- a/spider2/queries/lite_bq059.sql +++ b/spider2/queries/lite_bq059.sql @@ -1,31 +1,26 @@ -WITH stations AS ( - SELECT station_id - FROM - `bigquery-public-data.san_francisco_bikeshare.bikeshare_station_info` AS stainfo - WHERE stainfo.region_id = ( - SELECT region.region_id - FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_regions` AS region - WHERE region.name = "Berkeley" - ) -), -meta_data AS ( - SELECT - round(st_distance(start_station_geom, end_station_geom), 1) as distancia_metros, - round(st_distance(start_station_geom, end_station_geom) / duration_sec, 1) as velocidade_media - FROM - `bigquery-public-data.san_francisco_bikeshare.bikeshare_trips` AS trips - WHERE - cast(trips.start_station_id as string) IN (SELECT station_id FROM stations) - AND cast(trips.end_station_id as string) IN (SELECT station_id FROM stations) - AND start_station_latitude IS NOT NULL - AND start_station_longitude IS NOT NULL - AND end_station_latitude IS NOT NULL - AND end_station_longitude IS NOT NULL - AND st_distance(start_station_geom, end_station_geom) > 1000 - ORDER BY - velocidade_media DESC - LIMIT 1 -) - -SELECT velocidade_media as max_velocity +WITH stations AS + (SELECT station_id + FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_station_info` AS stainfo + WHERE stainfo.region_id = + (SELECT region.region_id + FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_regions` AS region + WHERE region.name = "Berkeley")), + meta_data AS + (SELECT round(st_distance(start_station_geom, end_station_geom), 1) AS distancia_metros, + round(st_distance(start_station_geom, end_station_geom) / duration_sec, 1) AS velocidade_media + FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_trips` AS trips + WHERE cast(trips.start_station_id AS string) IN + (SELECT station_id + FROM stations) + AND cast(trips.end_station_id AS string) IN + (SELECT station_id + FROM stations) + AND start_station_latitude IS NOT NULL + AND start_station_longitude IS NOT NULL + AND end_station_latitude IS NOT NULL + AND end_station_longitude IS NOT NULL + AND st_distance(start_station_geom, end_station_geom) > 1000 + ORDER BY velocidade_media DESC + LIMIT 1) +SELECT velocidade_media AS max_velocity FROM meta_data; diff --git a/spider2/queries/lite_bq060.sql b/spider2/queries/lite_bq060.sql index d5177ee54d265c7726a67f83d7d5de4dd83951d1..8da3a67f69ce5d3a2f9e2e48d769e54c5a6fff28 100644 --- a/spider2/queries/lite_bq060.sql +++ b/spider2/queries/lite_bq060.sql @@ -1,32 +1,20 @@ -WITH results AS ( - SELECT - growth.country_name, - growth.net_migration, - CAST(area.country_area as INT64) as country_area - FROM ( - SELECT - country_name, - net_migration, - country_code - FROM - `bigquery-public-data.census_bureau_international.birth_death_growth_rates` - WHERE - year = 2017 - ) growth - INNER JOIN ( - SELECT - country_area, - country_code - FROM - `bigquery-public-data.census_bureau_international.country_names_area` - WHERE - country_area > 500 - ) area - ON - growth.country_code = area.country_code - ORDER BY - net_migration DESC - LIMIT 3 -) -SELECT country_name, net_migration +WITH results AS + (SELECT growth.country_name, + growth.net_migration, + CAST(area.country_area AS INT64) AS country_area + FROM + (SELECT country_name, + net_migration, + country_code + FROM `bigquery-public-data.census_bureau_international.birth_death_growth_rates` + WHERE YEAR = 2017) growth + INNER JOIN + (SELECT country_area, + country_code + FROM `bigquery-public-data.census_bureau_international.country_names_area` + WHERE country_area > 500) area ON growth.country_code = area.country_code + ORDER BY net_migration DESC + LIMIT 3) +SELECT country_name, + net_migration FROM results; diff --git a/spider2/queries/lite_bq061.sql b/spider2/queries/lite_bq061.sql index 932e6f2c1a2651e8767481a2cb3ef58a800f0b4c..96dffbb2cff69412210ed03cb8af54f1cfc6d797 100644 --- a/spider2/queries/lite_bq061.sql +++ b/spider2/queries/lite_bq061.sql @@ -1,51 +1,27 @@ -WITH acs_2018 AS ( - SELECT - geo_id, - median_income AS median_income_2018 - FROM - `bigquery-public-data.census_bureau_acs.censustract_2018_5yr` -), -acs_2015 AS ( - SELECT - geo_id, - median_income AS median_income_2015 - FROM - `bigquery-public-data.census_bureau_acs.censustract_2015_5yr` ), -acs_diff AS ( - SELECT - a18.geo_id, - a18.median_income_2018, - a15.median_income_2015, - (a18.median_income_2018 - a15.median_income_2015) AS median_income_diff, - FROM - acs_2018 a18 - JOIN - acs_2015 a15 - ON - a18.geo_id = a15.geo_id -), -max_geo_id AS ( - SELECT - geo_id - FROM - acs_diff - WHERE - median_income_diff IS NOT NULL - AND acs_diff.geo_id in ( - SELECT - geo_id - FROM - `bigquery-public-data.geo_census_tracts.census_tracts_california` - ) - ORDER BY - median_income_diff DESC - LIMIT 1 -) -SELECT - tracts.tract_ce as tract_code -FROM - max_geo_id -JOIN - `bigquery-public-data.geo_census_tracts.census_tracts_california` AS tracts -ON - max_geo_id.geo_id = tracts.geo_id; +WITH acs_2018 AS + (SELECT geo_id, + median_income AS median_income_2018 + FROM `bigquery-public-data.census_bureau_acs.censustract_2018_5yr`), + acs_2015 AS + (SELECT geo_id, + median_income AS median_income_2015 + FROM `bigquery-public-data.census_bureau_acs.censustract_2015_5yr`), + acs_diff AS + (SELECT a18.geo_id, + a18.median_income_2018, + a15.median_income_2015, + (a18.median_income_2018 - a15.median_income_2015) AS median_income_diff, + FROM acs_2018 a18 + JOIN acs_2015 a15 ON a18.geo_id = a15.geo_id), + max_geo_id AS + (SELECT geo_id + FROM acs_diff + WHERE median_income_diff IS NOT NULL + AND acs_diff.geo_id IN + (SELECT geo_id + FROM `bigquery-public-data.geo_census_tracts.census_tracts_california`) + ORDER BY median_income_diff DESC + LIMIT 1) +SELECT tracts.tract_ce AS tract_code +FROM max_geo_id +JOIN `bigquery-public-data.geo_census_tracts.census_tracts_california` AS tracts ON max_geo_id.geo_id = tracts.geo_id; diff --git a/spider2/queries/lite_bq064.sql b/spider2/queries/lite_bq064.sql index e55d298646fcf92023f9790d04edebe46213efc3..c95d6702cb625013d357d90d88f4af5bc807ba49 100644 --- a/spider2/queries/lite_bq064.sql +++ b/spider2/queries/lite_bq064.sql @@ -1,79 +1,53 @@ -WITH all_zip_tract_join AS ( - SELECT - zips.zip_code, - zips.functional_status as zip_functional_status, - tracts.tract_ce, - tracts.geo_id as tract_geo_id, - tracts.functional_status as tract_functional_status, - ST_Area(ST_Intersection(tracts.tract_geom, zips.zip_code_geom)) - / ST_Area(tracts.tract_geom) as tract_pct_in_zip_code - FROM - `bigquery-public-data.geo_census_tracts.us_census_tracts_national` tracts, - `bigquery-public-data.geo_us_boundaries.zip_codes` zips - WHERE - ST_Intersects(tracts.tract_geom, zips.zip_code_geom) -), -zip_tract_join AS ( - SELECT * FROM all_zip_tract_join WHERE tract_pct_in_zip_code > 0 -), -census_totals AS ( - -- convert averages to additive totals - SELECT - geo_id, - total_pop, - total_pop * income_per_capita AS total_income - FROM - `bigquery-public-data.census_bureau_acs.censustract_2017_5yr` -), -joined AS ( - -- join with precomputed census/zip pairs, - -- compute zip's share of tract - SELECT - zip_code, - total_pop * tract_pct_in_zip_code AS zip_pop, - total_income * tract_pct_in_zip_code AS zip_income - FROM census_totals c - JOIN zip_tract_join ztj - ON c.geo_id = ztj.tract_geo_id -), -sums AS ( - -- aggregate all "pieces" of zip code - SELECT - zip_code, - SUM(zip_pop) AS zip_pop, - SUM(zip_income) AS zip_total_inc - FROM joined - GROUP BY zip_code -), -zip_pop_income AS ( - SELECT - zip_code, zip_pop, - -- convert to averages - zip_total_inc / zip_pop AS income_per_capita - FROM sums -), -zipcodes_within_distance as ( - SELECT - zip_code, zip_code_geom - FROM - `bigquery-public-data.geo_us_boundaries.zip_codes` - WHERE - state_code = 'WA' -- Washington state code - AND - ST_DWithin( - ST_GeogPoint(-122.191667, 47.685833), - zip_code_geom, - 8046.72 - ) -) -select - stats.zip_code, - ROUND(stats.zip_pop, 1) as zip_population, - ROUND(stats.income_per_capita, 1) as average_income -from - zipcodes_within_distance area -join - zip_pop_income stats -on area.zip_code = stats.zip_code -ORDER BY - average_income DESC; +WITH all_zip_tract_join AS + (SELECT zips.zip_code, + zips.functional_status AS zip_functional_status, + tracts.tract_ce, + tracts.geo_id AS tract_geo_id, + tracts.functional_status AS tract_functional_status, + ST_Area(ST_Intersection(tracts.tract_geom, zips.zip_code_geom)) / ST_Area(tracts.tract_geom) AS tract_pct_in_zip_code + FROM `bigquery-public-data.geo_census_tracts.us_census_tracts_national` tracts, + `bigquery-public-data.geo_us_boundaries.zip_codes` zips + WHERE ST_Intersects(tracts.tract_geom, zips.zip_code_geom)), + zip_tract_join AS + (SELECT * + FROM all_zip_tract_join + WHERE tract_pct_in_zip_code > 0), + census_totals AS + (-- convert averages to additive totals + SELECT geo_id, + total_pop, + total_pop * income_per_capita AS total_income + FROM `bigquery-public-data.census_bureau_acs.censustract_2017_5yr`), + joined AS + (-- join with precomputed census/zip pairs, + -- compute zip's share of tract + SELECT zip_code, + total_pop * tract_pct_in_zip_code AS zip_pop, + total_income * tract_pct_in_zip_code AS zip_income + FROM census_totals c + JOIN zip_tract_join ztj ON c.geo_id = ztj.tract_geo_id), + sums AS + (-- aggregate all "pieces" of zip code + SELECT zip_code, + SUM(zip_pop) AS zip_pop, + SUM(zip_income) AS zip_total_inc + FROM joined + GROUP BY zip_code), + zip_pop_income AS + (SELECT zip_code, + zip_pop, -- convert to averages + zip_total_inc / zip_pop AS income_per_capita + FROM sums), + zipcodes_within_distance AS + (SELECT zip_code, + zip_code_geom + FROM `bigquery-public-data.geo_us_boundaries.zip_codes` + WHERE state_code = 'WA' -- Washington state code + + AND ST_DWithin(ST_GeogPoint(-122.191667, 47.685833), zip_code_geom, 8046.72)) +SELECT stats.zip_code, + ROUND(stats.zip_pop, 1) AS zip_population, + ROUND(stats.income_per_capita, 1) AS average_income +FROM zipcodes_within_distance area +JOIN zip_pop_income stats ON area.zip_code = stats.zip_code +ORDER BY average_income DESC; diff --git a/spider2/queries/lite_bq066.sql b/spider2/queries/lite_bq066.sql index 17f9d2685be631ce2ee847bfa3d3ea3ce4f224f6..149ba972bcf4a7f0eb5c7bd452577197b236f5a4 100644 --- a/spider2/queries/lite_bq066.sql +++ b/spider2/queries/lite_bq066.sql @@ -1,60 +1,62 @@ -WITH poverty_and_natality AS ( - SELECT - EXTRACT(YEAR FROM n.Year) AS data_year, - p.geo_id AS county_fips, - (p.poverty / p.pop_determined_poverty_status) * 100 AS poverty_rate, - SUM(n.Births) AS total_births, - SUM(CASE WHEN n.Maternal_Morbidity_YN = 0 THEN n.Births ELSE 0 END) AS births_without_morbidity - FROM - `bigquery-public-data.census_bureau_acs.county_2015_5yr` p - JOIN - `bigquery-public-data.sdoh_cdc_wonder_natality.county_natality_by_maternal_morbidity` n - ON p.geo_id = n.County_of_Residence_FIPS - WHERE - p.pop_determined_poverty_status > 0 AND - EXTRACT(YEAR FROM n.Year) = 2016 - GROUP BY - p.geo_id, p.poverty, p.pop_determined_poverty_status, EXTRACT(YEAR FROM n.Year) - UNION ALL - SELECT - EXTRACT(YEAR FROM n.Year) AS data_year, - p.geo_id AS county_fips, - (p.poverty / p.pop_determined_poverty_status) * 100 AS poverty_rate, - SUM(n.Births) AS total_births, - SUM(CASE WHEN n.Maternal_Morbidity_YN = 0 THEN n.Births ELSE 0 END) AS births_without_morbidity - FROM - `bigquery-public-data.census_bureau_acs.county_2016_5yr` p - JOIN - `bigquery-public-data.sdoh_cdc_wonder_natality.county_natality_by_maternal_morbidity` n - ON p.geo_id = n.County_of_Residence_FIPS - WHERE - p.pop_determined_poverty_status > 0 AND - EXTRACT(YEAR FROM n.Year) = 2017 - GROUP BY - p.geo_id, p.poverty, p.pop_determined_poverty_status, EXTRACT(YEAR FROM n.Year) - UNION ALL - SELECT - EXTRACT(YEAR FROM n.Year) AS data_year, - p.geo_id AS county_fips, - (p.poverty / p.pop_determined_poverty_status) * 100 AS poverty_rate, - SUM(n.Births) AS total_births, - SUM(CASE WHEN n.Maternal_Morbidity_YN = 0 THEN n.Births ELSE 0 END) AS births_without_morbidity - FROM - `bigquery-public-data.census_bureau_acs.county_2017_5yr` p - JOIN - `bigquery-public-data.sdoh_cdc_wonder_natality.county_natality_by_maternal_morbidity` n - ON p.geo_id = n.County_of_Residence_FIPS - WHERE - p.pop_determined_poverty_status > 0 AND - EXTRACT(YEAR FROM n.Year) = 2018 - GROUP BY - p.geo_id, p.poverty, p.pop_determined_poverty_status, EXTRACT(YEAR FROM n.Year) -) - -SELECT - data_year, - CORR(poverty_rate, (births_without_morbidity / total_births) * 100) AS correlation_coefficient -FROM - poverty_and_natality -GROUP BY - data_year +WITH poverty_and_natality AS + (SELECT EXTRACT(YEAR + FROM n.Year) AS data_year, + p.geo_id AS county_fips, + (p.poverty / p.pop_determined_poverty_status) * 100 AS poverty_rate, + SUM(n.Births) AS total_births, + SUM(CASE + WHEN n.Maternal_Morbidity_YN = 0 THEN n.Births + ELSE 0 + END) AS births_without_morbidity + FROM `bigquery-public-data.census_bureau_acs.county_2015_5yr` p + JOIN `bigquery-public-data.sdoh_cdc_wonder_natality.county_natality_by_maternal_morbidity` n ON p.geo_id = n.County_of_Residence_FIPS + WHERE p.pop_determined_poverty_status > 0 + AND EXTRACT(YEAR + FROM n.Year) = 2016 + GROUP BY p.geo_id, + p.poverty, + p.pop_determined_poverty_status, + EXTRACT(YEAR + FROM n.Year) + UNION ALL SELECT EXTRACT(YEAR + FROM n.Year) AS data_year, + p.geo_id AS county_fips, + (p.poverty / p.pop_determined_poverty_status) * 100 AS poverty_rate, + SUM(n.Births) AS total_births, + SUM(CASE + WHEN n.Maternal_Morbidity_YN = 0 THEN n.Births + ELSE 0 + END) AS births_without_morbidity + FROM `bigquery-public-data.census_bureau_acs.county_2016_5yr` p + JOIN `bigquery-public-data.sdoh_cdc_wonder_natality.county_natality_by_maternal_morbidity` n ON p.geo_id = n.County_of_Residence_FIPS + WHERE p.pop_determined_poverty_status > 0 + AND EXTRACT(YEAR + FROM n.Year) = 2017 + GROUP BY p.geo_id, + p.poverty, + p.pop_determined_poverty_status, + EXTRACT(YEAR + FROM n.Year) + UNION ALL SELECT EXTRACT(YEAR + FROM n.Year) AS data_year, + p.geo_id AS county_fips, + (p.poverty / p.pop_determined_poverty_status) * 100 AS poverty_rate, + SUM(n.Births) AS total_births, + SUM(CASE + WHEN n.Maternal_Morbidity_YN = 0 THEN n.Births + ELSE 0 + END) AS births_without_morbidity + FROM `bigquery-public-data.census_bureau_acs.county_2017_5yr` p + JOIN `bigquery-public-data.sdoh_cdc_wonder_natality.county_natality_by_maternal_morbidity` n ON p.geo_id = n.County_of_Residence_FIPS + WHERE p.pop_determined_poverty_status > 0 + AND EXTRACT(YEAR + FROM n.Year) = 2018 + GROUP BY p.geo_id, + p.poverty, + p.pop_determined_poverty_status, + EXTRACT(YEAR + FROM n.Year)) +SELECT data_year, + CORR(poverty_rate, (births_without_morbidity / total_births) * 100) AS correlation_coefficient +FROM poverty_and_natality +GROUP BY data_year diff --git a/spider2/queries/lite_bq074.sql b/spider2/queries/lite_bq074.sql index aa4e5b8e46f98303924fc75b4286c1231ba5e9a6..d6e56bac1b2049abb52a6767622f0e2d63f5f1bb 100644 --- a/spider2/queries/lite_bq074.sql +++ b/spider2/queries/lite_bq074.sql @@ -1,54 +1,46 @@ -WITH acs_2018 AS ( - SELECT geo_id, unemployed_pop AS unemployed_2018 - FROM `bigquery-public-data.census_bureau_acs.county_2018_5yr` -), - -acs_2015 AS ( - SELECT geo_id, unemployed_pop AS unemployed_2015 - FROM `bigquery-public-data.census_bureau_acs.county_2015_5yr` -), - -unemployed_change AS ( - SELECT - u18.unemployed_2018, u18.geo_id, u15.unemployed_2015, - (u18.unemployed_2018 - u15.unemployed_2015) AS u_change - FROM acs_2018 u18 - JOIN acs_2015 u15 - ON u18.geo_id = u15.geo_id -), - -duals_Jan_2018 AS ( - SELECT Public_Total AS duals_2018, County_Name, FIPS - FROM `bigquery-public-data.sdoh_cms_dual_eligible_enrollment.dual_eligible_enrollment_by_county_and_program` - WHERE Date = '2018-12-01' -), - -duals_Jan_2015 AS ( - SELECT Public_Total AS duals_2015, County_Name, FIPS - FROM `bigquery-public-data.sdoh_cms_dual_eligible_enrollment.dual_eligible_enrollment_by_county_and_program` - WHERE Date = '2015-12-01' -), - -duals_change AS ( - SELECT - d18.FIPS, d18.County_Name, d18.duals_2018, d15.duals_2015, - (d18.duals_2018 - d15.duals_2015) AS total_duals_diff - FROM duals_Jan_2018 d18 - JOIN duals_Jan_2015 d15 - ON d18.FIPS = d15.FIPS -), - -corr_tbl AS ( - SELECT unemployed_change.geo_id, duals_change.County_Name, unemployed_change.u_change, duals_change.total_duals_diff - FROM unemployed_change - JOIN duals_change - ON unemployed_change.geo_id = duals_change.FIPS -) - - +WITH acs_2018 AS + (SELECT geo_id, + unemployed_pop AS unemployed_2018 + FROM `bigquery-public-data.census_bureau_acs.county_2018_5yr`), + acs_2015 AS + (SELECT geo_id, + unemployed_pop AS unemployed_2015 + FROM `bigquery-public-data.census_bureau_acs.county_2015_5yr`), + unemployed_change AS + (SELECT u18.unemployed_2018, + u18.geo_id, + u15.unemployed_2015, + (u18.unemployed_2018 - u15.unemployed_2015) AS u_change + FROM acs_2018 u18 + JOIN acs_2015 u15 ON u18.geo_id = u15.geo_id), + duals_Jan_2018 AS + (SELECT Public_Total AS duals_2018, + County_Name, + FIPS + FROM `bigquery-public-data.sdoh_cms_dual_eligible_enrollment.dual_eligible_enrollment_by_county_and_program` + WHERE Date = '2018-12-01'), + duals_Jan_2015 AS + (SELECT Public_Total AS duals_2015, + County_Name, + FIPS + FROM `bigquery-public-data.sdoh_cms_dual_eligible_enrollment.dual_eligible_enrollment_by_county_and_program` + WHERE Date = '2015-12-01'), + duals_change AS + (SELECT d18.FIPS, + d18.County_Name, + d18.duals_2018, + d15.duals_2015, + (d18.duals_2018 - d15.duals_2015) AS total_duals_diff + FROM duals_Jan_2018 d18 + JOIN duals_Jan_2015 d15 ON d18.FIPS = d15.FIPS), + corr_tbl AS + (SELECT unemployed_change.geo_id, + duals_change.County_Name, + unemployed_change.u_change, + duals_change.total_duals_diff + FROM unemployed_change + JOIN duals_change ON unemployed_change.geo_id = duals_change.FIPS) SELECT COUNT(*) FROM corr_tbl -WHERE -u_change >0 -AND -corr_tbl.total_duals_diff < 0 +WHERE u_change >0 + AND corr_tbl.total_duals_diff < 0 diff --git a/spider2/queries/lite_bq076.sql b/spider2/queries/lite_bq076.sql index ff0d31bb7ea9b46aaffa81200cf915f11c301aa4..0900fcc9fda7819307d0185d19c3e456157e6536 100644 --- a/spider2/queries/lite_bq076.sql +++ b/spider2/queries/lite_bq076.sql @@ -1,22 +1,16 @@ -SELECT - incidents AS highest_monthly_thefts -FROM ( - SELECT - year, - EXTRACT(MONTH FROM date) AS month, - COUNT(1) AS incidents, - RANK() OVER (PARTITION BY year ORDER BY COUNT(1) DESC) AS ranking - FROM - `bigquery-public-data.chicago_crime.crime` - WHERE - primary_type = 'MOTOR VEHICLE THEFT' - AND year = 2016 - GROUP BY - year, - month -) -WHERE - ranking = 1 -ORDER BY - year DESC +SELECT incidents AS highest_monthly_thefts +FROM + (SELECT YEAR, + EXTRACT(MONTH + FROM date) AS MONTH, + COUNT(1) AS incidents, + RANK() OVER (PARTITION BY YEAR + ORDER BY COUNT(1) DESC) AS ranking + FROM `bigquery-public-data.chicago_crime.crime` + WHERE primary_type = 'MOTOR VEHICLE THEFT' + AND YEAR = 2016 + GROUP BY YEAR, + MONTH) +WHERE ranking = 1 +ORDER BY YEAR DESC LIMIT 1; diff --git a/spider2/queries/lite_bq077.sql b/spider2/queries/lite_bq077.sql index f71b7e3d3082a417b6837c460fb9f739efc281b5..44b590e0c22554a3b8edfba14668211104ead95e 100644 --- a/spider2/queries/lite_bq077.sql +++ b/spider2/queries/lite_bq077.sql @@ -1,23 +1,16 @@ -SELECT - year, - incidents -FROM ( - SELECT - year, - EXTRACT(MONTH - FROM - date) AS month, - COUNT(1) AS incidents, - RANK() OVER (PARTITION BY year ORDER BY COUNT(1) DESC) AS ranking - FROM - `bigquery-public-data.chicago_crime.crime` - WHERE - primary_type = 'MOTOR VEHICLE THEFT' - AND year BETWEEN 2010 AND 2016 - GROUP BY - year, - month ) -WHERE - ranking = 1 -ORDER BY - year ASC +SELECT YEAR, + incidents +FROM + (SELECT YEAR, + EXTRACT(MONTH + FROM date) AS MONTH, + COUNT(1) AS incidents, + RANK() OVER (PARTITION BY YEAR + ORDER BY COUNT(1) DESC) AS ranking + FROM `bigquery-public-data.chicago_crime.crime` + WHERE primary_type = 'MOTOR VEHICLE THEFT' + AND YEAR BETWEEN 2010 AND 2016 + GROUP BY YEAR, + MONTH) +WHERE ranking = 1 +ORDER BY YEAR ASC diff --git a/spider2/queries/lite_bq078.sql b/spider2/queries/lite_bq078.sql index 9a1462fbc817ce3876c97cba73aaa10581d560d0..e85bbfed903809ef0a8288973e23bded6781c0a4 100644 --- a/spider2/queries/lite_bq078.sql +++ b/spider2/queries/lite_bq078.sql @@ -1,21 +1,11 @@ -SELECT - T1.targetId AS target_id, - T1.datasourceId, - targets.approvedSymbol AS approved_symbol, - overall_associations.score AS overall_score -FROM - `bigquery-public-data.open_targets_platform.associationByDatasourceDirect` as T1 -JOIN - `bigquery-public-data.open_targets_platform.targets` AS targets -ON - targetId = targets.id -JOIN - `bigquery-public-data.open_targets_platform.associationByOverallDirect` AS overall_associations -ON - T1.targetId = overall_associations.targetId -WHERE - overall_associations.diseaseId = 'EFO_0000676' AND datasourceId = 'impc' -ORDER BY - overall_associations.score DESC -LIMIT - 1; +SELECT T1.targetId AS target_id, + T1.datasourceId, + targets.approvedSymbol AS approved_symbol, + overall_associations.score AS overall_score +FROM `bigquery-public-data.open_targets_platform.associationByDatasourceDirect` AS T1 +JOIN `bigquery-public-data.open_targets_platform.targets` AS targets ON targetId = targets.id +JOIN `bigquery-public-data.open_targets_platform.associationByOverallDirect` AS overall_associations ON T1.targetId = overall_associations.targetId +WHERE overall_associations.diseaseId = 'EFO_0000676' + AND datasourceId = 'impc' +ORDER BY overall_associations.score DESC +LIMIT 1; diff --git a/spider2/queries/lite_bq081.sql b/spider2/queries/lite_bq081.sql index 46fd8d665b7e1febc14e4689d37e1082d0ac7c10..464a0c02017a94e6635a7eaba4d869db0dd88ce6 100644 --- a/spider2/queries/lite_bq081.sql +++ b/spider2/queries/lite_bq081.sql @@ -1,28 +1,24 @@ SELECT t1.* - FROM +FROM (SELECT Trips.trip_id TripId, - Trips.duration_sec TripDuration, - Trips.start_date TripStartDate, - Trips.start_station_name TripStartStation, - Trips.member_gender Gender, - Regions.name RegionName - FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_trips` Trips - INNER JOIN `bigquery-public-data.san_francisco_bikeshare.bikeshare_station_info` StationInfo - ON CAST(Trips.start_station_id AS STRING) = CAST(StationInfo.station_id AS STRING) - INNER JOIN `bigquery-public-data.san_francisco_bikeshare.bikeshare_regions` Regions - ON StationInfo.region_id = Regions.region_id - WHERE (EXTRACT(YEAR from Trips.start_date)) BETWEEN 2014 AND 2017 - ) - t1 - RIGHT JOIN (SELECT MAX(start_date) TripStartDate, - Regions.name RegionName - FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_station_info` StationInfo - INNER JOIN `bigquery-public-data.san_francisco_bikeshare.bikeshare_trips` Trips - ON CAST(StationInfo.station_id AS STRING) = CAST(Trips.start_station_id AS STRING) - INNER JOIN `bigquery-public-data.san_francisco_bikeshare.bikeshare_regions` Regions - ON Regions.region_id = StationInfo.region_id - WHERE (EXTRACT(YEAR from Trips.start_date) BETWEEN 2014 AND 2017 - AND Regions.name IS NOT NULL) - GROUP BY RegionName) - t2 - ON t1.RegionName = t2.RegionName AND t1.TripStartDate = t2.TripStartDate + Trips.duration_sec TripDuration, + Trips.start_date TripStartDate, + Trips.start_station_name TripStartStation, + Trips.member_gender Gender, + Regions.name RegionName + FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_trips` Trips + INNER JOIN `bigquery-public-data.san_francisco_bikeshare.bikeshare_station_info` StationInfo ON CAST(Trips.start_station_id AS STRING) = CAST(StationInfo.station_id AS STRING) + INNER JOIN `bigquery-public-data.san_francisco_bikeshare.bikeshare_regions` Regions ON StationInfo.region_id = Regions.region_id + WHERE (EXTRACT(YEAR + FROM Trips.start_date)) BETWEEN 2014 AND 2017) t1 +RIGHT JOIN + (SELECT MAX(start_date) TripStartDate, + Regions.name RegionName + FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_station_info` StationInfo + INNER JOIN `bigquery-public-data.san_francisco_bikeshare.bikeshare_trips` Trips ON CAST(StationInfo.station_id AS STRING) = CAST(Trips.start_station_id AS STRING) + INNER JOIN `bigquery-public-data.san_francisco_bikeshare.bikeshare_regions` Regions ON Regions.region_id = StationInfo.region_id + WHERE (EXTRACT(YEAR + FROM Trips.start_date) BETWEEN 2014 AND 2017 + AND Regions.name IS NOT NULL) + GROUP BY RegionName) t2 ON t1.RegionName = t2.RegionName +AND t1.TripStartDate = t2.TripStartDate diff --git a/spider2/queries/lite_bq085.sql b/spider2/queries/lite_bq085.sql index 0fff576e7ec3834c5b782492be5485dfd22814e4..09877e8564ca725816780092fa32f4c04fe4fcfb 100644 --- a/spider2/queries/lite_bq085.sql +++ b/spider2/queries/lite_bq085.sql @@ -1,38 +1,28 @@ -SELECT - c.country, - c.total_confirmed_cases, - (c.total_confirmed_cases / p.population) * 100000 AS cases_per_100k +SELECT c.country, + c.total_confirmed_cases, + (c.total_confirmed_cases / p.population) * 100000 AS cases_per_100k FROM - ( - SELECT - CASE - WHEN country_region = 'US' THEN 'United States' - WHEN country_region = 'Iran' THEN 'Iran, Islamic Rep.' - ELSE country_region - END AS country, - SUM(confirmed) AS total_confirmed_cases - FROM - `bigquery-public-data.covid19_jhu_csse.summary` - WHERE - date = '2020-04-20' - AND country_region IN ('US', 'France', 'China', 'Italy', 'Spain', 'Germany', 'Iran') - GROUP BY - country - ) AS c + (SELECT CASE + WHEN country_region = 'US' THEN 'United States' + WHEN country_region = 'Iran' THEN 'Iran, Islamic Rep.' + ELSE country_region + END AS country, + SUM(confirmed) AS total_confirmed_cases + FROM `bigquery-public-data.covid19_jhu_csse.summary` + WHERE date = '2020-04-20' + AND country_region IN ('US', + 'France', + 'China', + 'Italy', + 'Spain', + 'Germany', + 'Iran') + GROUP BY country) AS c JOIN - ( - SELECT - country_name AS country, - SUM(value) AS population - FROM - `bigquery-public-data.world_bank_wdi.indicators_data` - WHERE - indicator_code = 'SP.POP.TOTL' - AND year = 2020 - GROUP BY - country_name - ) AS p -ON - c.country = p.country -ORDER BY - cases_per_100k DESC + (SELECT country_name AS country, + SUM(value) AS population + FROM `bigquery-public-data.world_bank_wdi.indicators_data` + WHERE indicator_code = 'SP.POP.TOTL' + AND YEAR = 2020 + GROUP BY country_name) AS p ON c.country = p.country +ORDER BY cases_per_100k DESC diff --git a/spider2/queries/lite_bq086.sql b/spider2/queries/lite_bq086.sql index d4571f21312ee21a6dafec0efc539ccad64f3488..015b0c82b1420b37d31d07bb4fa66eb2969c9dd7 100644 --- a/spider2/queries/lite_bq086.sql +++ b/spider2/queries/lite_bq086.sql @@ -1,24 +1,14 @@ -WITH - country_pop AS ( - SELECT - country_code AS iso_3166_1_alpha_3, - year_2018 AS population_2018 - FROM - `bigquery-public-data.world_bank_global_population.population_by_country`) -SELECT - country_code, - country_name, - cumulative_confirmed AS june_confirmed_cases, - population_2018, - ROUND(cumulative_confirmed/population_2018 * 100,2) AS case_percent -FROM - `bigquery-public-data.covid19_open_data.covid19_open_data` -JOIN - country_pop -USING - (iso_3166_1_alpha_3) -WHERE - date = '2020-06-30' +WITH country_pop AS + (SELECT country_code AS iso_3166_1_alpha_3, + year_2018 AS population_2018 + FROM `bigquery-public-data.world_bank_global_population.population_by_country`) +SELECT country_code, + country_name, + cumulative_confirmed AS june_confirmed_cases, + population_2018, + ROUND(cumulative_confirmed/population_2018 * 100, 2) AS case_percent +FROM `bigquery-public-data.covid19_open_data.covid19_open_data` +JOIN country_pop USING (iso_3166_1_alpha_3) +WHERE date = '2020-06-30' AND aggregation_level = 0 -ORDER BY - case_percent DESC +ORDER BY case_percent DESC diff --git a/spider2/queries/lite_bq087.sql b/spider2/queries/lite_bq087.sql index 2605c5cc0ffe7f8292b21447307b7271851cb737..faa01903ca358a820e95202fd5b87af158b0252a 100644 --- a/spider2/queries/lite_bq087.sql +++ b/spider2/queries/lite_bq087.sql @@ -1,26 +1,25 @@ -SELECT - table_2019.avg_symptom_Anosmia_2019, - table_2020.avg_symptom_Anosmia_2020, - ((table_2020.avg_symptom_Anosmia_2020 - table_2019.avg_symptom_Anosmia_2019) / table_2019.avg_symptom_Anosmia_2019) * 100 AS avg_increase -FROM ( - SELECT - AVG(SAFE_CAST(symptom_Anosmia AS FLOAT64)) AS avg_symptom_Anosmia_2020 - FROM - `bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_weekly` - WHERE - sub_region_1 = "New York" - AND sub_region_2 IN ("Bronx County", "Queens County", "Kings County", "New York County", "Richmond County") - AND date >= '2020-01-01' - AND date < '2021-01-01' -) AS table_2020, -( - SELECT - AVG(SAFE_CAST(symptom_Anosmia AS FLOAT64)) AS avg_symptom_Anosmia_2019 - FROM - `bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_weekly` - WHERE - sub_region_1 = "New York" - AND sub_region_2 IN ("Bronx County", "Queens County", "Kings County", "New York County", "Richmond County") - AND date >= '2019-01-01' - AND date < '2020-01-01' -) AS table_2019 +SELECT table_2019.avg_symptom_Anosmia_2019, + table_2020.avg_symptom_Anosmia_2020, + ((table_2020.avg_symptom_Anosmia_2020 - table_2019.avg_symptom_Anosmia_2019) / table_2019.avg_symptom_Anosmia_2019) * 100 AS avg_increase +FROM + (SELECT AVG(SAFE_CAST(symptom_Anosmia AS FLOAT64)) AS avg_symptom_Anosmia_2020 + FROM `bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_weekly` + WHERE sub_region_1 = "New York" + AND sub_region_2 IN ("Bronx County", + "Queens County", + "Kings County", + "New York County", + "Richmond County") + AND date >= '2020-01-01' + AND date < '2021-01-01') AS table_2020, + + (SELECT AVG(SAFE_CAST(symptom_Anosmia AS FLOAT64)) AS avg_symptom_Anosmia_2019 + FROM `bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_weekly` + WHERE sub_region_1 = "New York" + AND sub_region_2 IN ("Bronx County", + "Queens County", + "Kings County", + "New York County", + "Richmond County") + AND date >= '2019-01-01' + AND date < '2020-01-01') AS table_2019 diff --git a/spider2/queries/lite_bq088.sql b/spider2/queries/lite_bq088.sql index 7846f5ec01891aecf1c873d76d368813e15fc539..952dcec257e57302ae15e5a2fcfa6e0e2d11ba3c 100644 --- a/spider2/queries/lite_bq088.sql +++ b/spider2/queries/lite_bq088.sql @@ -1,27 +1,20 @@ -SELECT - table_2019.avg_symptom_Anxiety_2019, - table_2020.avg_symptom_Anxiety_2020, - ((table_2020.avg_symptom_Anxiety_2020 - table_2019.avg_symptom_Anxiety_2019)/table_2019.avg_symptom_Anxiety_2019) * 100 AS percent_increase_anxiety, - table_2019.avg_symptom_Depression_2019, - table_2020.avg_symptom_Depression_2020, - ((table_2020.avg_symptom_Depression_2020 - table_2019.avg_symptom_Depression_2019)/table_2019.avg_symptom_Depression_2019) * 100 AS percent_increase_depression -FROM ( - SELECT - AVG(CAST(symptom_Anxiety AS FLOAT64)) AS avg_symptom_Anxiety_2020, - AVG(CAST(symptom_Depression AS FLOAT64)) AS avg_symptom_Depression_2020, - FROM - `bigquery-public-data.covid19_symptom_search.symptom_search_country_weekly` - WHERE - country_region_code = "US" - AND date >= '2020-01-01' - AND date <'2021-01-01') AS table_2020, - ( - SELECT - AVG(CAST(symptom_Anxiety AS FLOAT64)) AS avg_symptom_Anxiety_2019, - AVG(CAST(symptom_Depression AS FLOAT64)) AS avg_symptom_Depression_2019, - FROM - `bigquery-public-data.covid19_symptom_search.symptom_search_country_weekly` - WHERE - country_region_code = "US" - AND date >= '2019-01-01' - AND date <'2020-01-01') AS table_2019 +SELECT table_2019.avg_symptom_Anxiety_2019, + table_2020.avg_symptom_Anxiety_2020, + ((table_2020.avg_symptom_Anxiety_2020 - table_2019.avg_symptom_Anxiety_2019)/table_2019.avg_symptom_Anxiety_2019) * 100 AS percent_increase_anxiety, + table_2019.avg_symptom_Depression_2019, + table_2020.avg_symptom_Depression_2020, + ((table_2020.avg_symptom_Depression_2020 - table_2019.avg_symptom_Depression_2019)/table_2019.avg_symptom_Depression_2019) * 100 AS percent_increase_depression +FROM + (SELECT AVG(CAST(symptom_Anxiety AS FLOAT64)) AS avg_symptom_Anxiety_2020, + AVG(CAST(symptom_Depression AS FLOAT64)) AS avg_symptom_Depression_2020, + FROM `bigquery-public-data.covid19_symptom_search.symptom_search_country_weekly` + WHERE country_region_code = "US" + AND date >= '2020-01-01' + AND date <'2021-01-01') AS table_2020, + + (SELECT AVG(CAST(symptom_Anxiety AS FLOAT64)) AS avg_symptom_Anxiety_2019, + AVG(CAST(symptom_Depression AS FLOAT64)) AS avg_symptom_Depression_2019, + FROM `bigquery-public-data.covid19_symptom_search.symptom_search_country_weekly` + WHERE country_region_code = "US" + AND date >= '2019-01-01' + AND date <'2020-01-01') AS table_2019 diff --git a/spider2/queries/lite_bq089.sql b/spider2/queries/lite_bq089.sql index 311a9e491afd80dee04a819c9818d15e9eb0d597..d9be7a5b8cc4f59a75a723fa009edefb2749401a 100644 --- a/spider2/queries/lite_bq089.sql +++ b/spider2/queries/lite_bq089.sql @@ -1,38 +1,22 @@ -WITH - num_vaccine_sites_per_county AS ( - SELECT - facility_sub_region_1 AS us_state, - facility_sub_region_2 AS us_county, - facility_sub_region_2_code AS us_county_fips, - COUNT(DISTINCT facility_place_id) AS num_vaccine_sites - FROM - bigquery-public-data.covid19_vaccination_access.facility_boundary_us_all - WHERE - STARTS_WITH(facility_sub_region_2_code, "06") - GROUP BY - facility_sub_region_1, - facility_sub_region_2, - facility_sub_region_2_code ), - total_population_per_county AS ( - SELECT - LEFT(geo_id, 5) AS us_county_fips, - ROUND(SUM(total_pop)) AS total_population - FROM - bigquery-public-data.census_bureau_acs.censustract_2018_5yr - WHERE - STARTS_WITH(LEFT(geo_id, 5), "06") - GROUP BY - LEFT(geo_id, 5) ) -SELECT - * EXCEPT(us_county_fips), - ROUND((num_vaccine_sites * 1000) / total_population, 2) AS sites_per_1k_ppl -FROM - num_vaccine_sites_per_county -INNER JOIN - total_population_per_county -USING - (us_county_fips) -ORDER BY - sites_per_1k_ppl ASC -LIMIT - 100; +WITH num_vaccine_sites_per_county AS + (SELECT facility_sub_region_1 AS us_state, + facility_sub_region_2 AS us_county, + facility_sub_region_2_code AS us_county_fips, + COUNT(DISTINCT facility_place_id) AS num_vaccine_sites + FROM bigquery-PUBLIC-data.covid19_vaccination_access.facility_boundary_us_all + WHERE STARTS_WITH(facility_sub_region_2_code, "06") + GROUP BY facility_sub_region_1, + facility_sub_region_2, + facility_sub_region_2_code), + total_population_per_county AS + (SELECT LEFT(geo_id, 5) AS us_county_fips, + ROUND(SUM(total_pop)) AS total_population + FROM bigquery-PUBLIC-data.census_bureau_acs.censustract_2018_5yr + WHERE STARTS_WITH(LEFT(geo_id, 5), "06") + GROUP BY LEFT(geo_id, 5)) +SELECT * EXCEPT(us_county_fips), + ROUND((num_vaccine_sites * 1000) / total_population, 2) AS sites_per_1k_ppl +FROM num_vaccine_sites_per_county +INNER JOIN total_population_per_county USING (us_county_fips) +ORDER BY sites_per_1k_ppl ASC +LIMIT 100; diff --git a/spider2/queries/lite_bq090.sql b/spider2/queries/lite_bq090.sql index 16b2f8f86b6ba6aff92eb279be89f7172d06e581..4413bcc82c1720f6f40ac1fa5dfca99bf0e2d834 100644 --- a/spider2/queries/lite_bq090.sql +++ b/spider2/queries/lite_bq090.sql @@ -1,25 +1,17 @@ -WITH MomentumTrades AS ( - SELECT - StrikePrice - LastPx AS priceDifference - FROM - `bigquery-public-data.cymbal_investments.trade_capture_report` - WHERE - SUBSTR(TargetCompID, 0, 4) = 'MOMO' - AND (SELECT Side FROM UNNEST(Sides)) = 'LONG' -), - -FeelingLuckyTrades AS ( - SELECT - StrikePrice - LastPx AS priceDifference - FROM - `bigquery-public-data.cymbal_investments.trade_capture_report` - WHERE - SUBSTR(TargetCompID, 0, 4) = 'LUCK' - AND (SELECT Side FROM UNNEST(Sides)) = 'LONG' -) - -SELECT - AVG(FeelingLuckyTrades.priceDifference) - AVG(MomentumTrades.priceDifference) AS averageDifference -FROM - MomentumTrades, - FeelingLuckyTrades +WITH MomentumTrades AS + (SELECT StrikePrice - LastPx AS priceDifference + FROM `bigquery-public-data.cymbal_investments.trade_capture_report` + WHERE SUBSTR(TargetCompID, 0, 4) = 'MOMO' + AND + (SELECT Side + FROM UNNEST(Sides)) = 'LONG'), + FeelingLuckyTrades AS + (SELECT StrikePrice - LastPx AS priceDifference + FROM `bigquery-public-data.cymbal_investments.trade_capture_report` + WHERE SUBSTR(TargetCompID, 0, 4) = 'LUCK' + AND + (SELECT Side + FROM UNNEST(Sides)) = 'LONG') +SELECT AVG(FeelingLuckyTrades.priceDifference) - AVG(MomentumTrades.priceDifference) AS averageDifference +FROM MomentumTrades, + FeelingLuckyTrades diff --git a/spider2/queries/lite_bq095.sql b/spider2/queries/lite_bq095.sql index 0b679706cc8da37df5bfe7657fe2d10044219ab3..c17eae6d7662b59898ae522802cbcc26768b1128 100644 --- a/spider2/queries/lite_bq095.sql +++ b/spider2/queries/lite_bq095.sql @@ -1,19 +1,10 @@ -SELECT - targets.approvedSymbol AS target_symbol, - drugs.name AS drug_name, - source_urls.element.url AS clinical_trial_reference_url, -FROM - `open-targets-prod.platform.evidence` AS evidence, - UNNEST(evidence.urls.list) AS source_urls -JOIN - `open-targets-prod.platform.targets` AS targets -ON - evidence.targetId=targets.id -JOIN - `open-targets-prod.platform.molecule` AS drugs -ON - evidence.drugId=drugs.id -WHERE - datasourceId="chembl" +SELECT targets.approvedSymbol AS target_symbol, + drugs.name AS drug_name, + source_urls.element.url AS clinical_trial_reference_url, +FROM `open-targets-prod.platform.evidence` AS evidence, + UNNEST(evidence.urls.list) AS source_urls +JOIN `open-targets-prod.platform.targets` AS targets ON evidence.targetId=targets.id +JOIN `open-targets-prod.platform.molecule` AS drugs ON evidence.drugId=drugs.id +WHERE datasourceId="chembl" AND diseaseId="EFO_0007416" AND evidence.clinicalStatus = "Completed" diff --git a/spider2/queries/lite_bq096.sql b/spider2/queries/lite_bq096.sql index f745ba61508e13fe2079b5240eaa87013c573abe..c589ef0eedff6139a122eda0cfcef506599eb8a5 100644 --- a/spider2/queries/lite_bq096.sql +++ b/spider2/queries/lite_bq096.sql @@ -1,28 +1,18 @@ -WITH tenplus AS ( - SELECT - year, - EXTRACT(DAYOFYEAR FROM DATE(eventdate)) AS dayofyear, - COUNT(*) AS count - FROM - bigquery-public-data.gbif.occurrences - WHERE - eventdate IS NOT NULL - AND species = 'Sterna paradisaea' - AND decimallatitude > 40.0 - AND month > 1 - GROUP BY - year, - eventdate - HAVING - COUNT(*) > 10 -) - -SELECT - year AS year -FROM - tenplus -GROUP BY - year -ORDER BY - MIN(dayofyear) +WITH tenplus AS + (SELECT YEAR, + EXTRACT(DAYOFYEAR + FROM DATE(eventdate)) AS dayofyear, + COUNT(*) AS COUNT + FROM bigquery-PUBLIC-data.gbif.occurrences + WHERE eventdate IS NOT NULL + AND species = 'Sterna paradisaea' + AND decimallatitude > 40.0 + AND MONTH > 1 + GROUP BY YEAR, + eventdate + HAVING COUNT(*) > 10) +SELECT YEAR AS YEAR +FROM tenplus +GROUP BY YEAR +ORDER BY MIN(dayofyear) LIMIT 1; diff --git a/spider2/queries/lite_bq097.sql b/spider2/queries/lite_bq097.sql index 2d21b3d3c0b313913491a076e190f87ab15b1c68..80ec757ad65c1fe335516439b27d3153d6309a8b 100644 --- a/spider2/queries/lite_bq097.sql +++ b/spider2/queries/lite_bq097.sql @@ -1,22 +1,26 @@ -WITH bea_2012 AS ( - SELECT GeoFIPS, GeoName, Earnings_per_job_avg AS earnings_2012 - FROM `bigquery-public-data.sdoh_bea_cainc30.fips` - WHERE Year='2012-01-01' AND ENDS_WITH(GeoName, "MA") IS TRUE -), - -bea_2017 AS ( - SELECT GeoFIPS, GeoName, Earnings_per_job_avg AS earnings_2017 - FROM `bigquery-public-data.sdoh_bea_cainc30.fips` - WHERE Year='2017-01-01' AND ENDS_WITH(GeoName, "MA") IS TRUE -), - -earnings_diff AS ( - SELECT - bea_2017.GeoFIPS, bea_2017.GeoName, bea_2017.earnings_2017, bea_2012.earnings_2012, - (bea_2017.earnings_2017 - bea_2012.earnings_2012) AS earnings_change - FROM bea_2017 - JOIN bea_2012 - ON bea_2017.GeoFIPS = bea_2012.GeoFIPS -) - -SELECT * FROM earnings_diff WHERE earnings_change IS NOT NULL ORDER BY earnings_change DESC +WITH bea_2012 AS + (SELECT GeoFIPS, + GeoName, + Earnings_per_job_avg AS earnings_2012 + FROM `bigquery-public-data.sdoh_bea_cainc30.fips` + WHERE YEAR='2012-01-01' + AND ENDS_WITH(GeoName, "MA") IS TRUE), + bea_2017 AS + (SELECT GeoFIPS, + GeoName, + Earnings_per_job_avg AS earnings_2017 + FROM `bigquery-public-data.sdoh_bea_cainc30.fips` + WHERE YEAR='2017-01-01' + AND ENDS_WITH(GeoName, "MA") IS TRUE), + earnings_diff AS + (SELECT bea_2017.GeoFIPS, + bea_2017.GeoName, + bea_2017.earnings_2017, + bea_2012.earnings_2012, + (bea_2017.earnings_2017 - bea_2012.earnings_2012) AS earnings_change + FROM bea_2017 + JOIN bea_2012 ON bea_2017.GeoFIPS = bea_2012.GeoFIPS) +SELECT * +FROM earnings_diff +WHERE earnings_change IS NOT NULL +ORDER BY earnings_change DESC diff --git a/spider2/queries/lite_bq098.sql b/spider2/queries/lite_bq098.sql index 64c6bbd0e2041150770325f993de08dce0661d1d..7b4d5d32b98d406f022eb13d8131859664d983fd 100644 --- a/spider2/queries/lite_bq098.sql +++ b/spider2/queries/lite_bq098.sql @@ -1,86 +1,83 @@ WITH t2 AS -( -SELECT - t.*, - t.pickup_location_id as pickup_zone_id, - tz.borough as pickup_borough -FROM -( -SELECT *, - TIMESTAMP_DIFF(dropoff_datetime,pickup_datetime,SECOND) as time_duration_in_secs, - (CASE WHEN total_amount=0 THEN 0 - ELSE (tip_amount*100/total_amount) END) as tip_rate -FROM `bigquery-public-data.new_york_taxi_trips.tlc_yellow_trips_2016` -) t -INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz -ON t.pickup_location_id = tz.zone_id -WHERE - pickup_datetime BETWEEN '2016-01-01' AND '2016-01-07' - AND dropoff_datetime BETWEEN '2016-01-01' AND '2016-01-07' - AND TIMESTAMP_DIFF(dropoff_datetime,pickup_datetime,SECOND) > 0 - AND passenger_count > 0 - AND trip_distance >= 0 - AND tip_amount >= 0 - AND tolls_amount >= 0 - AND mta_tax >= 0 - AND fare_amount >= 0 - AND total_amount >= 0 -), -t3 AS -(SELECT -pickup_borough, -(CASE - WHEN tip_rate = 0 THEN 'no tip' - WHEN tip_rate <= 5 THEN 'Less than 5%' - WHEN tip_rate <= 10 THEN '5% to 10%' - WHEN tip_rate <= 15 THEN '10% to 15%' - WHEN tip_rate <= 20 THEN '15% to 20%' - WHEN tip_rate <= 25 THEN '20% to 25%' - ELSE 'More than 25%' END)as tip_category, -COUNT(*) as no_of_trips -FROM t2 -GROUP BY 1,2 -ORDER BY pickup_borough ASC), -INFO AS ( -SELECT pickup_borough - , tip_category - , Sum(no_of_trips) as no_of_trips, - (CASE - WHEN pickup_borough is null THEN (select sum(no_of_trips) - FROM t3) - - WHEN pickup_borough is not null and tip_category is null THEN (select sum(no_of_trips) - FROM t3) - - WHEN pickup_borough is not null and tip_category is not null THEN (select sum(no_of_trips) - FROM t3 - WHERE pickup_borough = m.pickup_borough) - END) as parent_sum, - ( - Sum(no_of_trips) - / - ( - CASE - WHEN pickup_borough is null THEN (select sum(no_of_trips) - FROM t3) - - WHEN pickup_borough is not null and tip_category is null THEN (select sum(no_of_trips) - FROM t3) - - WHEN pickup_borough is not null and tip_category is not null THEN (select sum(no_of_trips) - FROM t3 - WHERE pickup_borough = m.pickup_borough) - END - ) - ) as percentage -FROM t3 m -GROUP BY ROLLUP(pickup_borough, tip_category) -order by 1, 2 -) - -SELECT - pickup_borough, - (SUM(CASE WHEN tip_category = 'no tip' THEN no_of_trips ELSE 0 END) * 100.0 / SUM(no_of_trips)) AS percentage_no_tip + (SELECT t.*, + t.pickup_location_id AS pickup_zone_id, + tz.borough AS pickup_borough + FROM + (SELECT *, + TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) AS time_duration_in_secs, + (CASE + WHEN total_amount=0 THEN 0 + ELSE (tip_amount*100/total_amount) + END) AS tip_rate + FROM `bigquery-public-data.new_york_taxi_trips.tlc_yellow_trips_2016`) t + INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz ON t.pickup_location_id = tz.zone_id + WHERE pickup_datetime BETWEEN '2016-01-01' AND '2016-01-07' + AND dropoff_datetime BETWEEN '2016-01-01' AND '2016-01-07' + AND TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) > 0 + AND passenger_count > 0 + AND trip_distance >= 0 + AND tip_amount >= 0 + AND tolls_amount >= 0 + AND mta_tax >= 0 + AND fare_amount >= 0 + AND total_amount >= 0), + t3 AS + (SELECT pickup_borough, + (CASE + WHEN tip_rate = 0 THEN 'no tip' + WHEN tip_rate <= 5 THEN 'Less than 5%' + WHEN tip_rate <= 10 THEN '5% to 10%' + WHEN tip_rate <= 15 THEN '10% to 15%' + WHEN tip_rate <= 20 THEN '15% to 20%' + WHEN tip_rate <= 25 THEN '20% to 25%' + ELSE 'More than 25%' + END)AS tip_category, + COUNT(*) AS no_of_trips + FROM t2 + GROUP BY 1, + 2 + ORDER BY pickup_borough ASC), + INFO AS + (SELECT pickup_borough , + tip_category , + Sum(no_of_trips) AS no_of_trips, + (CASE + WHEN pickup_borough IS NULL THEN + (SELECT sum(no_of_trips) + FROM t3) + WHEN pickup_borough IS NOT NULL + AND tip_category IS NULL THEN + (SELECT sum(no_of_trips) + FROM t3) + WHEN pickup_borough IS NOT NULL + AND tip_category IS NOT NULL THEN + (SELECT sum(no_of_trips) + FROM t3 + WHERE pickup_borough = m.pickup_borough) + END) AS parent_sum, + (Sum(no_of_trips) / (CASE + WHEN pickup_borough IS NULL THEN + (SELECT sum(no_of_trips) + FROM t3) + WHEN pickup_borough IS NOT NULL + AND tip_category IS NULL THEN + (SELECT sum(no_of_trips) + FROM t3) + WHEN pickup_borough IS NOT NULL + AND tip_category IS NOT NULL THEN + (SELECT sum(no_of_trips) + FROM t3 + WHERE pickup_borough = m.pickup_borough) + END)) AS percentage + FROM t3 m + GROUP BY ROLLUP(pickup_borough, tip_category) + ORDER BY 1, + 2) +SELECT pickup_borough, + (SUM(CASE + WHEN tip_category = 'no tip' THEN no_of_trips + ELSE 0 + END) * 100.0 / SUM(no_of_trips)) AS percentage_no_tip FROM t3 GROUP BY pickup_borough ORDER BY pickup_borough; diff --git a/spider2/queries/lite_bq102.sql b/spider2/queries/lite_bq102.sql index 9ca585fd2963f3ae4d86aea0b0d986c39f4eaea7..48fdcfb8806aff28ce71fdb9e91f7de8627598e7 100644 --- a/spider2/queries/lite_bq102.sql +++ b/spider2/queries/lite_bq102.sql @@ -1,22 +1,15 @@ -WITH gene_region AS ( - SELECT - MIN(start_position) AS start_pos, - MAX(end_position) AS end_pos - FROM `bigquery-public-data.gnomAD.v2_1_1_genomes__chr17` AS main_table - WHERE EXISTS ( - SELECT 1 - FROM UNNEST(main_table.alternate_bases) AS alternate_bases - WHERE EXISTS ( - SELECT 1 - FROM UNNEST(alternate_bases.vep) AS vep - WHERE vep.SYMBOL = 'BRCA1' - ) - ) -) - - -SELECT - DISTINCT start_position +WITH gene_region AS + (SELECT MIN(start_position) AS start_pos, + MAX(end_position) AS end_pos + FROM `bigquery-public-data.gnomAD.v2_1_1_genomes__chr17` AS main_table + WHERE EXISTS + (SELECT 1 + FROM UNNEST(main_table.alternate_bases) AS alternate_bases + WHERE EXISTS + (SELECT 1 + FROM UNNEST(alternate_bases.vep) AS vep + WHERE vep.SYMBOL = 'BRCA1'))) +SELECT DISTINCT start_position FROM `bigquery-public-data.gnomAD.v2_1_1_genomes__chr17` AS main_table, UNNEST(main_table.alternate_bases) AS alternate_bases, UNNEST(alternate_bases.vep) AS vep, diff --git a/spider2/queries/lite_bq103.sql b/spider2/queries/lite_bq103.sql index 10dfd2ef5c038b8120457c9b463347c12c0c0aca..6dac33479bf31567f9640f57e4666774e08f9f11 100644 --- a/spider2/queries/lite_bq103.sql +++ b/spider2/queries/lite_bq103.sql @@ -1,15 +1,16 @@ -WITH summary_stats AS ( - SELECT - COUNT(1) AS num_variants, - SUM((SELECT alt.AC FROM UNNEST(alternate_bases) AS alt)) AS sum_AC, - SUM(AN) AS sum_AN, - -- Also include some information from Variant Effect Predictor (VEP). - STRING_AGG(DISTINCT (SELECT annot.symbol FROM UNNEST(alternate_bases) AS alt, - UNNEST(vep) AS annot LIMIT 1), ', ') AS genes - FROM bigquery-public-data.gnomAD.v3_genomes__chr1 AS main_table - WHERE start_position >= 55039447 AND start_position <= 55064852 -) -SELECT - ROUND((55064852 - 55039447) / num_variants, 3) AS burden_of_mutation, - * +WITH summary_stats AS + (SELECT COUNT(1) AS num_variants, + SUM( + (SELECT alt.AC + FROM UNNEST(alternate_bases) AS alt)) AS sum_AC, + SUM(AN) AS sum_AN, -- Also include some information from Variant Effect Predictor (VEP). + STRING_AGG(DISTINCT + (SELECT annot.symbol + FROM UNNEST(alternate_bases) AS alt, UNNEST(vep) AS annot + LIMIT 1), ', ') AS genes + FROM bigquery-PUBLIC-data.gnomAD.v3_genomes__chr1 AS main_table + WHERE start_position >= 55039447 + AND start_position <= 55064852) +SELECT ROUND((55064852 - 55039447) / num_variants, 3) AS burden_of_mutation, + * FROM summary_stats; diff --git a/spider2/queries/lite_bq105.sql b/spider2/queries/lite_bq105.sql index a04a0b788c2df3d97225b8a77dbb9098205833d5..dfea165a8572c071f343c1a0d764f56da8bd3bfe 100644 --- a/spider2/queries/lite_bq105.sql +++ b/spider2/queries/lite_bq105.sql @@ -1,76 +1,45 @@ -SELECT * FROM -( -SELECT - '2015' AS year, - COUNT(a.consecutive_number) AS total, - a.state_name AS state, - c.state_pop AS population, - (COUNT(a.consecutive_number) / c.state_pop * 100000) AS rate_per_100000 +SELECT * FROM - `bigquery-public-data.nhtsa_traffic_fatalities.accident_2015` a -JOIN - `bigquery-public-data.nhtsa_traffic_fatalities.distract_2015` b -ON - a.consecutive_number = b.consecutive_number -JOIN ( - SELECT - SUM(d.population) AS state_pop, - e.state_name AS state - FROM - `bigquery-public-data.census_bureau_usa.population_by_zip_2010` d - JOIN - `bigquery-public-data.utility_us.zipcode_area` e - ON - d.zipcode = e.zipcode - GROUP BY - state ) c -ON - c.state = a.state_name -WHERE - b.driver_distracted_by_name NOT IN ('Not Distracted', 'Unknown if Distracted', 'Not Reported') -GROUP BY - state, - population, - c.state_pop -ORDER BY - rate_per_100000 DESC -LIMIT 5 -) + (SELECT '2015' AS YEAR, + COUNT(a.consecutive_number) AS total, + a.state_name AS state, + c.state_pop AS population, + (COUNT(a.consecutive_number) / c.state_pop * 100000) AS rate_per_100000 + FROM `bigquery-public-data.nhtsa_traffic_fatalities.accident_2015` a + JOIN `bigquery-public-data.nhtsa_traffic_fatalities.distract_2015` b ON a.consecutive_number = b.consecutive_number + JOIN + (SELECT SUM(d.population) AS state_pop, + e.state_name AS state + FROM `bigquery-public-data.census_bureau_usa.population_by_zip_2010` d + JOIN `bigquery-public-data.utility_us.zipcode_area` e ON d.zipcode = e.zipcode + GROUP BY state) c ON c.state = a.state_name + WHERE b.driver_distracted_by_name NOT IN ('Not Distracted', + 'Unknown if Distracted', + 'Not Reported') + GROUP BY state, + population, + c.state_pop + ORDER BY rate_per_100000 DESC + LIMIT 5) UNION ALL -( -SELECT - '2016' AS year, - COUNT(a.consecutive_number) AS total, - a.state_name AS state, - c.state_pop AS population, - (COUNT(a.consecutive_number) / c.state_pop * 100000) AS rate_per_100000 -FROM - `bigquery-public-data.nhtsa_traffic_fatalities.accident_2016` a -JOIN - `bigquery-public-data.nhtsa_traffic_fatalities.distract_2016` b -ON - a.consecutive_number = b.consecutive_number -JOIN ( - SELECT - SUM(d.population) AS state_pop, - e.state_name AS state - FROM - `bigquery-public-data.census_bureau_usa.population_by_zip_2010` d - JOIN - `bigquery-public-data.utility_us.zipcode_area` e - ON - d.zipcode = e.zipcode - GROUP BY - state ) c -ON - c.state = a.state_name -WHERE - b.driver_distracted_by_name NOT IN ('Not Distracted', 'Unknown if Distracted', 'Not Reported') -GROUP BY - state, - population, - c.state_pop -ORDER BY - rate_per_100000 DESC -LIMIT 5 -) + (SELECT '2016' AS YEAR, + COUNT(a.consecutive_number) AS total, + a.state_name AS state, + c.state_pop AS population, + (COUNT(a.consecutive_number) / c.state_pop * 100000) AS rate_per_100000 + FROM `bigquery-public-data.nhtsa_traffic_fatalities.accident_2016` a + JOIN `bigquery-public-data.nhtsa_traffic_fatalities.distract_2016` b ON a.consecutive_number = b.consecutive_number + JOIN + (SELECT SUM(d.population) AS state_pop, + e.state_name AS state + FROM `bigquery-public-data.census_bureau_usa.population_by_zip_2010` d + JOIN `bigquery-public-data.utility_us.zipcode_area` e ON d.zipcode = e.zipcode + GROUP BY state) c ON c.state = a.state_name + WHERE b.driver_distracted_by_name NOT IN ('Not Distracted', + 'Unknown if Distracted', + 'Not Reported') + GROUP BY state, + population, + c.state_pop + ORDER BY rate_per_100000 DESC + LIMIT 5) diff --git a/spider2/queries/lite_bq109.sql b/spider2/queries/lite_bq109.sql index 10052a919a4c7d77246288d5eee02d6074cb5fbe..ebe9be574cc70c781da46eecc21706124f04ed96 100644 --- a/spider2/queries/lite_bq109.sql +++ b/spider2/queries/lite_bq109.sql @@ -1,32 +1,24 @@ -WITH coloc_stats AS ( - SELECT - coloc.coloc_log2_h4_h3, - coloc.right_study AS qtl_source - FROM - `open-targets-genetics.genetics.variant_disease_coloc` AS coloc - JOIN - `open-targets-genetics.genetics.studies` AS studies - ON - coloc.left_study = studies.study_id - WHERE - coloc.right_gene_id = "ENSG00000169174" - AND coloc.coloc_h4 > 0.8 - AND coloc.coloc_h3 < 0.02 - AND studies.trait_reported LIKE "%lesterol levels%" - AND coloc.right_bio_feature = 'IPSC' - AND CONCAT(coloc.left_chrom, '_', coloc.left_pos, '_', coloc.left_ref, '_', coloc.left_alt) = '1_55029009_C_T' -), -max_value AS ( - SELECT - MAX(coloc_log2_h4_h3) AS max_log2_h4_h3 - FROM - coloc_stats -) +WITH coloc_stats AS + (SELECT coloc.coloc_log2_h4_h3, + coloc.right_study AS qtl_source + FROM `open-targets-genetics.genetics.variant_disease_coloc` AS coloc + JOIN `open-targets-genetics.genetics.studies` AS studies ON coloc.left_study = studies.study_id + WHERE coloc.right_gene_id = "ENSG00000169174" + AND coloc.coloc_h4 > 0.8 + AND coloc.coloc_h3 < 0.02 + AND studies.trait_reported LIKE "%lesterol levels%" + AND coloc.right_bio_feature = 'IPSC' + AND CONCAT(coloc.left_chrom, '_', coloc.left_pos, '_', coloc.left_ref, '_', coloc.left_alt) = '1_55029009_C_T'), + max_value AS + (SELECT MAX(coloc_log2_h4_h3) AS max_log2_h4_h3 + FROM coloc_stats) +SELECT AVG(coloc_log2_h4_h3) AS average, + VAR_SAMP(coloc_log2_h4_h3) AS variance, + MAX(coloc_log2_h4_h3) - MIN(coloc_log2_h4_h3) AS max_min_difference, -SELECT - AVG(coloc_log2_h4_h3) AS average, - VAR_SAMP(coloc_log2_h4_h3) AS variance, - MAX(coloc_log2_h4_h3) - MIN(coloc_log2_h4_h3) AS max_min_difference, - (SELECT qtl_source FROM coloc_stats WHERE coloc_log2_h4_h3 = (SELECT max_log2_h4_h3 FROM max_value)) AS qtl_source_of_max -FROM - coloc_stats; + (SELECT qtl_source + FROM coloc_stats + WHERE coloc_log2_h4_h3 = + (SELECT max_log2_h4_h3 + FROM max_value)) AS qtl_source_of_max +FROM coloc_stats; diff --git a/spider2/queries/lite_bq110.sql b/spider2/queries/lite_bq110.sql index c11fa49e2fcb568fc7c520f21d720a52dbd93d4d..3754b4b7d821591e6d94e9684ad7248ba549e23a 100644 --- a/spider2/queries/lite_bq110.sql +++ b/spider2/queries/lite_bq110.sql @@ -1,21 +1,23 @@ -WITH homeless_2012 AS ( - SELECT Homeless_Veterans AS Vet12, CoC_Name - FROM `bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc` - WHERE SUBSTR(CoC_Number,0,2) = "NY" AND Count_Year = 2012 -), - -homeless_2018 AS ( - SELECT Homeless_Veterans AS Vet18, CoC_Name - FROM `bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc` - WHERE SUBSTR(CoC_Number,0,2) = "NY" AND Count_Year = 2018 -), - -veterans_change AS ( - SELECT homeless_2012.COC_Name, Vet12, Vet18, Vet18 - Vet12 AS VetChange - FROM homeless_2018 - JOIN homeless_2012 - ON homeless_2018.CoC_Name = homeless_2012.CoC_Name -) - -SELECT COC_Name, VetChange FROM veterans_change +WITH homeless_2012 AS + (SELECT Homeless_Veterans AS Vet12, + CoC_Name + FROM `bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc` + WHERE SUBSTR(CoC_Number, 0, 2) = "NY" + AND Count_Year = 2012), + homeless_2018 AS + (SELECT Homeless_Veterans AS Vet18, + CoC_Name + FROM `bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc` + WHERE SUBSTR(CoC_Number, 0, 2) = "NY" + AND Count_Year = 2018), + veterans_change AS + (SELECT homeless_2012.COC_Name, + Vet12, + Vet18, + Vet18 - Vet12 AS VetChange + FROM homeless_2018 + JOIN homeless_2012 ON homeless_2018.CoC_Name = homeless_2012.CoC_Name) +SELECT COC_Name, + VetChange +FROM veterans_change ORDER BY CoC_Name; diff --git a/spider2/queries/lite_bq112.sql b/spider2/queries/lite_bq112.sql index 65561ab1149e0e2d668ed2cf399d43c171c7b37e..33a0d2acd6e7134e924a4d4c6ae162f9a220e006 100644 --- a/spider2/queries/lite_bq112.sql +++ b/spider2/queries/lite_bq112.sql @@ -1,65 +1,51 @@ -WITH geo AS ( - SELECT DISTINCT geo_id - FROM `bigquery-public-data.geo_us_boundaries.counties` - WHERE county_name = "Allegheny" +WITH geo AS + (SELECT DISTINCT geo_id + FROM `bigquery-public-data.geo_us_boundaries.counties` + WHERE county_name = "Allegheny"), + avg_wage_1998 AS + (SELECT ROUND(AVG(avg_wkly_wage_10_total_all_industries) * 52, 2) AS wages_1998 + FROM `bigquery-public-data.bls_qcew.1998*` + WHERE geoid = + (SELECT geo_id + FROM geo) --Selecting Allgeheny County ), -avg_wage_1998 AS( - SELECT - ROUND(AVG(avg_wkly_wage_10_total_all_industries) * 52, 2) AS wages_1998 - FROM - `bigquery-public-data.bls_qcew.1998*` - WHERE - geoid = (SELECT geo_id FROM geo) --Selecting Allgeheny County + avg_wage_2017 AS + (SELECT ROUND(AVG(avg_wkly_wage_10_total_all_industries) * 52, 2) AS wages_2017 + FROM `bigquery-public-data.bls_qcew.2017*` + WHERE geoid = + (SELECT geo_id + FROM geo) --Selecting Allgeheny County ), - -avg_wage_2017 AS ( - SELECT - ROUND(AVG(avg_wkly_wage_10_total_all_industries) * 52, 2) AS wages_2017 - FROM - `bigquery-public-data.bls_qcew.2017*` - WHERE - geoid = (SELECT geo_id FROM geo) --Selecting Allgeheny County -), - -avg_cpi_1998 AS ( - SELECT - AVG(value) AS cpi_1998 - FROM - `bigquery-public-data.bls.cpi_u` c - WHERE - year = 1998 - AND item_code in ( - SELECT DISTINCT item_code FROM `bigquery-public-data.bls.cpi_u` WHERE LOWER(item_name) = "all items" - ) - AND area_code = ( - SELECT DISTINCT area_code FROM `bigquery-public-data.bls.cpi_u` WHERE area_name LIKE '%Pittsburgh%' - ) -), --- A104 is the code for Pittsburgh, PA + avg_cpi_1998 AS + (SELECT AVG(value) AS cpi_1998 + FROM `bigquery-public-data.bls.cpi_u` c + WHERE YEAR = 1998 + AND item_code IN + (SELECT DISTINCT item_code + FROM `bigquery-public-data.bls.cpi_u` + WHERE LOWER(item_name) = "all items") + AND area_code = + (SELECT DISTINCT area_code + FROM `bigquery-public-data.bls.cpi_u` + WHERE area_name LIKE '%Pittsburgh%')), -- A104 is the code for Pittsburgh, PA -- SA0 is the code for all items - -avg_cpi_2017 AS( - SELECT - AVG(value) AS cpi_2017 - FROM - `bigquery-public-data.bls.cpi_u` c - WHERE - year = 2017 - AND item_code in ( - SELECT DISTINCT item_code FROM `bigquery-public-data.bls.cpi_u` WHERE LOWER(item_name) = "all items" - ) - AND area_code = ( - SELECT DISTINCT area_code FROM `bigquery-public-data.bls.cpi_u` WHERE area_name LIKE '%Pittsburgh%' - ) -) --- A104 is the code for Pittsburgh, PA + avg_cpi_2017 AS + (SELECT AVG(value) AS cpi_2017 + FROM `bigquery-public-data.bls.cpi_u` c + WHERE YEAR = 2017 + AND item_code IN + (SELECT DISTINCT item_code + FROM `bigquery-public-data.bls.cpi_u` + WHERE LOWER(item_name) = "all items") + AND area_code = + (SELECT DISTINCT area_code + FROM `bigquery-public-data.bls.cpi_u` + WHERE area_name LIKE '%Pittsburgh%')) -- A104 is the code for Pittsburgh, PA -- SA0 is the code for all items -SELECT - ROUND((wages_2017 - wages_1998) / wages_1998 * 100, 2) AS wages_percent_change, - ROUND((cpi_2017 - cpi_1998) / cpi_1998 * 100, 2) AS cpi_percent_change -FROM - avg_wage_2017, - avg_wage_1998, - avg_cpi_2017, - avg_cpi_1998 +SELECT ROUND((wages_2017 - wages_1998) / wages_1998 * 100, 2) AS wages_percent_change, + ROUND((cpi_2017 - cpi_1998) / cpi_1998 * 100, 2) AS cpi_percent_change +FROM avg_wage_2017, + avg_wage_1998, + avg_cpi_2017, + avg_cpi_1998 diff --git a/spider2/queries/lite_bq113.sql b/spider2/queries/lite_bq113.sql index 9db6b70c7ea167ffdc88ff7b9645ffffc5850aea..80ef4cea011052e02f4a9119e80b2cec0514e7b7 100644 --- a/spider2/queries/lite_bq113.sql +++ b/spider2/queries/lite_bq113.sql @@ -1,41 +1,30 @@ -WITH utah_code AS ( - SELECT DISTINCT geo_id - FROM bigquery-public-data.geo_us_boundaries.states - WHERE state_name = 'Utah' -), -e2000 as( - SELECT - AVG(month3_emplvl_23_construction) AS construction_employees_2000, - geoid - FROM - `bigquery-public-data.bls_qcew.2000_*` - WHERE - geoid LIKE CONCAT((SELECT geo_id FROM utah_code), '%') - GROUP BY - geoid), - -e2018 AS ( - SELECT - AVG(month3_emplvl_23_construction) AS construction_employees_2018, - geoid, - FROM - `bigquery-public-data.bls_qcew.2018_*` e2018 - WHERE - geoid LIKE CONCAT((SELECT geo_id FROM utah_code), '%') - GROUP BY - geoid) - -SELECT - c.county_name AS county, - (construction_employees_2018 - construction_employees_2000) / construction_employees_2000 * 100 AS increase_rate -FROM - e2000 -JOIN - e2018 USING (geoid) -JOIN - `bigquery-public-data.geo_us_boundaries.counties` c ON c.geo_id = e2018.geoid -WHERE - c.state_fips_code = (SELECT geo_id FROM utah_code) -ORDER BY - increase_rate desc +WITH utah_code AS + (SELECT DISTINCT geo_id + FROM bigquery-PUBLIC-data.geo_us_boundaries.states + WHERE state_name = 'Utah'), + e2000 AS + (SELECT AVG(month3_emplvl_23_construction) AS construction_employees_2000, + geoid + FROM `bigquery-public-data.bls_qcew.2000_*` + WHERE geoid LIKE CONCAT( + (SELECT geo_id + FROM utah_code), '%') + GROUP BY geoid), + e2018 AS + (SELECT AVG(month3_emplvl_23_construction) AS construction_employees_2018, + geoid, + FROM `bigquery-public-data.bls_qcew.2018_*` e2018 + WHERE geoid LIKE CONCAT( + (SELECT geo_id + FROM utah_code), '%') + GROUP BY geoid) +SELECT c.county_name AS county, + (construction_employees_2018 - construction_employees_2000) / construction_employees_2000 * 100 AS increase_rate +FROM e2000 +JOIN e2018 USING (geoid) +JOIN `bigquery-public-data.geo_us_boundaries.counties` c ON c.geo_id = e2018.geoid +WHERE c.state_fips_code = + (SELECT geo_id + FROM utah_code) +ORDER BY increase_rate DESC LIMIT 1 diff --git a/spider2/queries/lite_bq114.sql b/spider2/queries/lite_bq114.sql index d61a325348d25029547d3fbbc04f734806dedb5c..39395c80d0648d1f78974ec75968d16c081a1c3d 100644 --- a/spider2/queries/lite_bq114.sql +++ b/spider2/queries/lite_bq114.sql @@ -1,22 +1,15 @@ -SELECT - aq.city, - epa.arithmetic_mean, - aq.value, - aq.timestamp, - (epa.arithmetic_mean - aq.value) -FROM - `bigquery-public-data.openaq.global_air_quality` AS aq -JOIN - `bigquery-public-data.epa_historical_air_quality.air_quality_annual_summary` AS epa -ON - ROUND(aq.latitude, 2) = ROUND(epa.latitude, 2) - AND ROUND(aq.longitude, 2) = ROUND(epa.longitude, 2) -WHERE - epa.units_of_measure = "Micrograms/cubic meter (LC)" +SELECT aq.city, + epa.arithmetic_mean, + aq.value, + aq.timestamp, (epa.arithmetic_mean - aq.value) +FROM `bigquery-public-data.openaq.global_air_quality` AS aq +JOIN `bigquery-public-data.epa_historical_air_quality.air_quality_annual_summary` AS epa ON ROUND(aq.latitude, 2) = ROUND(epa.latitude, 2) +AND ROUND(aq.longitude, 2) = ROUND(epa.longitude, 2) +WHERE epa.units_of_measure = "Micrograms/cubic meter (LC)" AND epa.parameter_name = "Acceptable PM2.5 AQI & Speciation Mass" AND epa.year = 1990 AND aq.pollutant = "pm25" - AND EXTRACT(YEAR FROM aq.timestamp) = 2020 -ORDER BY - (epa.arithmetic_mean - aq.value) DESC + AND EXTRACT(YEAR + FROM aq.timestamp) = 2020 +ORDER BY (epa.arithmetic_mean - aq.value) DESC LIMIT 3 diff --git a/spider2/queries/lite_bq115.sql b/spider2/queries/lite_bq115.sql index 4fc0ec3303a3e3856931ef1a1305c28dd8374f64..5e6bb808c564f00cd2f258216d075a5ba9c0d9b1 100644 --- a/spider2/queries/lite_bq115.sql +++ b/spider2/queries/lite_bq115.sql @@ -1,36 +1,22 @@ -SELECT -country_name +SELECT country_name FROM -(SELECT - age.country_name, - SUM(age.population) AS under_25, - pop.midyear_population AS total, - ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 -FROM ( - SELECT - country_name, - population, - country_code - FROM - `bigquery-public-data.census_bureau_international.midyear_population_agespecific` - WHERE - year =2017 - AND age < 25) age -INNER JOIN ( - SELECT - midyear_population, - country_code - FROM - `bigquery-public-data.census_bureau_international.midyear_population` - WHERE - year = 2017) pop -ON - age.country_code = pop.country_code -GROUP BY - 1, - 3 -ORDER BY - 4 DESC -) -LIMIT -1 + (SELECT age.country_name, + SUM(age.population) AS under_25, + pop.midyear_population AS total, + ROUND((SUM(age.population) / pop.midyear_population) * 100, 2) AS pct_under_25 + FROM + (SELECT country_name, + population, + country_code + FROM `bigquery-public-data.census_bureau_international.midyear_population_agespecific` + WHERE YEAR =2017 + AND age < 25) age + INNER JOIN + (SELECT midyear_population, + country_code + FROM `bigquery-public-data.census_bureau_international.midyear_population` + WHERE YEAR = 2017) pop ON age.country_code = pop.country_code + GROUP BY 1, + 3 + ORDER BY 4 DESC) +LIMIT 1 diff --git a/spider2/queries/lite_bq119.sql b/spider2/queries/lite_bq119.sql index 2223faaba6e216f05d4e4f20563af0f26c76efc8..4a527424a12d265a568e43e44c1cb646a2b2040a 100644 --- a/spider2/queries/lite_bq119.sql +++ b/spider2/queries/lite_bq119.sql @@ -1,52 +1,40 @@ -WITH hurricane_geometry AS ( - SELECT - * EXCEPT (longitude, latitude), - ST_GEOGPOINT(longitude, latitude) AS geom, - FROM - `bigquery-public-data.noaa_hurricanes.hurricanes` - WHERE - season = '2020' - AND basin = 'NA' - AND name != 'NOT NAMED' -), -dist_between_points AS ( - SELECT - sid, - name, - season, - iso_time, - usa_wind, - geom, - ST_DISTANCE(geom, LAG(geom, 1) OVER (PARTITION BY sid ORDER BY iso_time ASC)) / 1000 AS dist - FROM - hurricane_geometry -), -total_distances AS ( - SELECT - sid, - name, - season, - iso_time, - usa_wind, - geom, - SUM(dist) OVER (PARTITION BY sid ORDER BY iso_time ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_distance, - SUM(dist) OVER (PARTITION BY sid) AS total_dist - FROM - dist_between_points -), -ranked_hurricanes AS ( - SELECT - *, - DENSE_RANK() OVER (ORDER BY total_dist DESC) AS dense_rank - FROM - total_distances -) - -SELECT - geom,cumulative_distance,usa_wind -FROM - ranked_hurricanes -WHERE - dense_rank = 3 -ORDER BY -cumulative_distance; +WITH hurricane_geometry AS + (SELECT * + EXCEPT (longitude, + latitude), ST_GEOGPOINT(longitude, latitude) AS geom, + FROM `bigquery-public-data.noaa_hurricanes.hurricanes` + WHERE season = '2020' + AND basin = 'NA' + AND name != 'NOT NAMED'), + dist_between_points AS + (SELECT sid, + name, + season, + iso_time, + usa_wind, + geom, + ST_DISTANCE(geom, LAG(geom, 1) OVER (PARTITION BY sid + ORDER BY iso_time ASC)) / 1000 AS dist + FROM hurricane_geometry), + total_distances AS + (SELECT sid, + name, + season, + iso_time, + usa_wind, + geom, + SUM(dist) OVER (PARTITION BY sid + ORDER BY iso_time ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_distance, + SUM(dist) OVER (PARTITION BY sid) AS total_dist + FROM dist_between_points), + ranked_hurricanes AS + (SELECT *, + DENSE_RANK() OVER ( + ORDER BY total_dist DESC) AS dense_rank + FROM total_distances) +SELECT geom, + cumulative_distance, + usa_wind +FROM ranked_hurricanes +WHERE dense_rank = 3 +ORDER BY cumulative_distance; diff --git a/spider2/queries/lite_bq120.sql b/spider2/queries/lite_bq120.sql index bdc5029dd24829bcb5f8a5fecc10ee90e78aaa8b..f9ced460a9d7802149f15bd2df4b165485d6889b 100644 --- a/spider2/queries/lite_bq120.sql +++ b/spider2/queries/lite_bq120.sql @@ -1,20 +1,20 @@ -WITH acs_2017 AS ( - SELECT geo_id, income_less_10000 AS i10, income_10000_14999 AS i15, income_15000_19999 AS i20 - FROM `bigquery-public-data.census_bureau_acs.county_2017_5yr` - ), - -snap_2017_Jan AS ( - SELECT FIPS, SNAP_All_Participation_Households AS snap_total - FROM `bigquery-public-data.sdoh_snap_enrollment.snap_enrollment` - WHERE Date = '2017-01-01' -) - -SELECT acs_2017.geo_id, snap_2017_Jan.snap_total, -(acs_2017.i10 + acs_2017.i15 + acs_2017.i20) As households_under_20, -(acs_2017.i10 + acs_2017.i15 + acs_2017.i20)/snap_2017_Jan.snap_total As under_20_snap_ratio +WITH acs_2017 AS + (SELECT geo_id, + income_less_10000 AS i10, + income_10000_14999 AS i15, + income_15000_19999 AS i20 + FROM `bigquery-public-data.census_bureau_acs.county_2017_5yr`), + snap_2017_Jan AS + (SELECT FIPS, + SNAP_All_Participation_Households AS snap_total + FROM `bigquery-public-data.sdoh_snap_enrollment.snap_enrollment` + WHERE Date = '2017-01-01') +SELECT acs_2017.geo_id, + snap_2017_Jan.snap_total, + (acs_2017.i10 + acs_2017.i15 + acs_2017.i20) AS households_under_20, + (acs_2017.i10 + acs_2017.i15 + acs_2017.i20)/snap_2017_Jan.snap_total AS under_20_snap_ratio FROM acs_2017 -JOIN snap_2017_Jan -ON acs_2017.geo_id = snap_2017_Jan.FIPS +JOIN snap_2017_Jan ON acs_2017.geo_id = snap_2017_Jan.FIPS WHERE snap_2017_Jan.snap_total > 0 ORDER BY snap_2017_Jan.snap_total DESC LIMIT 10 diff --git a/spider2/queries/lite_bq123.sql b/spider2/queries/lite_bq123.sql index 9c0ba895f14c8be12b7f25a5c425677bfacff47d..4e1326e0cf4721d06c8d49e4859f1b544533ee68 100644 --- a/spider2/queries/lite_bq123.sql +++ b/spider2/queries/lite_bq123.sql @@ -1,24 +1,17 @@ -WITH first_answers AS ( - SELECT - parent_id AS question_id, - MIN(creation_date) AS first_answer_date - FROM - `bigquery-public-data.stackoverflow.posts_answers` - GROUP BY - parent_id -) - -SELECT - FORMAT_DATE('%A', DATE(q.creation_date)) AS question_day, - SUM(CASE WHEN f.first_answer_date IS NOT NULL AND TIMESTAMP_DIFF(f.first_answer_date, q.creation_date, MINUTE) <= 60 THEN 1 ELSE 0 END) * 100.0 / COUNT(*) AS percent_questions -FROM - `bigquery-public-data.stackoverflow.posts_questions` q -LEFT JOIN - first_answers f -ON - q.id = f.question_id -GROUP BY - question_day -ORDER BY - percent_questions DESC -LIMIT 1 OFFSET 2 +WITH first_answers AS + (SELECT parent_id AS question_id, + MIN(creation_date) AS first_answer_date + FROM `bigquery-public-data.stackoverflow.posts_answers` + GROUP BY parent_id) +SELECT FORMAT_DATE('%A', DATE(q.creation_date)) AS question_day, + SUM(CASE + WHEN f.first_answer_date IS NOT NULL + AND TIMESTAMP_DIFF(f.first_answer_date, q.creation_date, MINUTE) <= 60 THEN 1 + ELSE 0 + END) * 100.0 / COUNT(*) AS percent_questions +FROM `bigquery-public-data.stackoverflow.posts_questions` q +LEFT JOIN first_answers f ON q.id = f.question_id +GROUP BY question_day +ORDER BY percent_questions DESC +LIMIT 1 +OFFSET 2 diff --git a/spider2/queries/lite_bq124.sql b/spider2/queries/lite_bq124.sql index fcbd54d71f95b522c3fd5ce3cf15fe56f4333346..99964096f51e214a9bb56db899ebf308d6b49def 100644 --- a/spider2/queries/lite_bq124.sql +++ b/spider2/queries/lite_bq124.sql @@ -1,49 +1,42 @@ -With INFO AS ( -SELECT - MR.patientId, - P.last_name, - ARRAY_TO_STRING(P.first_name, " ") AS First_name, - Condition.Codes, - Condition.Conditions, - MR.med_count AS COUNT_NUMBER -FROM - (SELECT - id, - name[safe_offset(0)].family as last_name, - name[safe_offset(0)].given as first_name, - TIMESTAMP(deceased.dateTime) AS deceased_datetime - FROM `bigquery-public-data.fhir_synthea.patient`) AS P -JOIN - (SELECT subject.patientId as patientId, - COUNT(DISTINCT medication.codeableConcept.coding[safe_offset(0)].code) AS med_count - FROM `bigquery-public-data.fhir_synthea.medication_request` - WHERE status = 'active' - GROUP BY 1 - ) AS MR -ON MR.patientId = P.id -JOIN - (SELECT - PatientId, - STRING_AGG(DISTINCT condition_desc, ", ") AS Conditions, - STRING_AGG(DISTINCT condition_code, ", ") AS Codes - FROM( - SELECT - subject.patientId as PatientId, - code.coding[safe_offset(0)].code condition_code, - code.coding[safe_offset(0)].display condition_desc - FROM `bigquery-public-data.fhir_synthea.condition` - wHERE - code.coding[safe_offset(0)].display = 'Diabetes' - OR - code.coding[safe_offset(0)].display = 'Hypertension' - ) - GROUP BY PatientId - ) AS Condition -ON MR.patientId = Condition.PatientId -WHERE med_count >= 7 -AND P.deceased_datetime is NULL /*only alive patients*/ -GROUP BY patientId, last_name, first_name, Condition.Codes, Condition.Conditions, MR.med_count -ORDER BY last_name -) - -SELECT COUNT(*) FROM INFO +WITH INFO AS + (SELECT MR.patientId, + P.last_name, + ARRAY_TO_STRING(P.first_name, " ") AS First_name, + Condition.Codes, + Condition.Conditions, + MR.med_count AS COUNT_NUMBER + FROM + (SELECT id, + name[safe_offset(0)].family AS last_name, + name[safe_offset(0)].given AS first_name, + TIMESTAMP(deceased.dateTime) AS deceased_datetime + FROM `bigquery-public-data.fhir_synthea.patient`) AS P + JOIN + (SELECT subject.patientId AS patientId, + COUNT(DISTINCT medication.codeableConcept.coding[safe_offset(0)].code) AS med_count + FROM `bigquery-public-data.fhir_synthea.medication_request` + WHERE status = 'active' + GROUP BY 1) AS MR ON MR.patientId = P.id + JOIN + (SELECT PatientId, + STRING_AGG(DISTINCT condition_desc, ", ") AS Conditions, + STRING_AGG(DISTINCT condition_code, ", ") AS Codes + FROM + (SELECT subject.patientId AS PatientId, + code.coding[safe_offset(0)].code condition_code, + code.coding[safe_offset(0)].display condition_desc + FROM `bigquery-public-data.fhir_synthea.condition` + WHERE code.coding[safe_offset(0)].display = 'Diabetes' + OR code.coding[safe_offset(0)].display = 'Hypertension') + GROUP BY PatientId) AS CONDITION ON MR.patientId = Condition.PatientId + WHERE med_count >= 7 + AND P.deceased_datetime IS NULL /*only alive patients*/ + GROUP BY patientId, + last_name, + first_name, + Condition.Codes, + Condition.Conditions, + MR.med_count + ORDER BY last_name) +SELECT COUNT(*) +FROM INFO diff --git a/spider2/queries/lite_bq126.sql b/spider2/queries/lite_bq126.sql index a77a766f27ed53564907171aaaf54e90143db335..194d10b8c366a9be190790145776829786309c69 100644 --- a/spider2/queries/lite_bq126.sql +++ b/spider2/queries/lite_bq126.sql @@ -1,33 +1,21 @@ -SELECT - o.artist_display_name, - o.title, - o.object_end_date, - o.medium, - i.original_image_url -FROM ( - SELECT - object_id, - title, - artist_display_name, - object_end_date, - medium - FROM - `bigquery-public-data.the_met.objects` - WHERE - department = "Photographs" - AND object_name LIKE "%Photograph%" - AND artist_display_name != "Unknown" - AND object_end_date <= 1839 -) o -INNER JOIN ( - SELECT - original_image_url, - object_id - FROM - `bigquery-public-data.the_met.images` -) i -ON - o.object_id = i.object_id -ORDER BY - o.object_end_date -; +SELECT o.artist_display_name, + o.title, + o.object_end_date, + o.medium, + i.original_image_url +FROM + (SELECT object_id, + title, + artist_display_name, + object_end_date, + medium + FROM `bigquery-public-data.the_met.objects` + WHERE department = "Photographs" + AND object_name LIKE "%Photograph%" + AND artist_display_name != "Unknown" + AND object_end_date <= 1839) o +INNER JOIN + (SELECT original_image_url, + object_id + FROM `bigquery-public-data.the_met.images`) i ON o.object_id = i.object_id +ORDER BY o.object_end_date ; diff --git a/spider2/queries/lite_bq130.sql b/spider2/queries/lite_bq130.sql index 2876c03b6b62116b041d2778f1ed81fe8b661de6..ecf78fbfdb48249d7976e4e924f569f5ec750773 100644 --- a/spider2/queries/lite_bq130.sql +++ b/spider2/queries/lite_bq130.sql @@ -1,102 +1,67 @@ -WITH StateCases AS ( - SELECT - b.state_name, - b.date, - b.confirmed_cases - a.confirmed_cases AS daily_new_cases - FROM - (SELECT - state_name, - state_fips_code, - confirmed_cases, - DATE_ADD(date, INTERVAL 1 DAY) AS date_shift - FROM - `bigquery-public-data.covid19_nyt.us_states` - WHERE - date >= '2020-02-29' AND date <= '2020-05-30' - ) a - JOIN - `bigquery-public-data.covid19_nyt.us_states` b - ON a.state_fips_code = b.state_fips_code AND a.date_shift = b.date - WHERE - b.date >= '2020-03-01' AND b.date <= '2020-05-31' -), -RankedStatesPerDay AS ( - SELECT - state_name, - date, - daily_new_cases, - RANK() OVER (PARTITION BY date ORDER BY daily_new_cases DESC) as rank - FROM - StateCases -), -TopStates AS ( - SELECT - state_name, - COUNT(*) AS appearance_count - FROM - RankedStatesPerDay - WHERE - rank <= 5 - GROUP BY - state_name - ORDER BY - appearance_count DESC -), -FourthState AS ( - SELECT - state_name - FROM - TopStates - LIMIT 1 - OFFSET 3 -), -CountyCases AS ( - SELECT - b.county, - b.date, - b.confirmed_cases - a.confirmed_cases AS daily_new_cases - FROM - (SELECT - county, - county_fips_code, - confirmed_cases, - DATE_ADD(date, INTERVAL 1 DAY) AS date_shift - FROM - `bigquery-public-data.covid19_nyt.us_counties` - WHERE - date >= '2020-02-29' AND date <= '2020-05-30' - ) a - JOIN - `bigquery-public-data.covid19_nyt.us_counties` b - ON a.county_fips_code = b.county_fips_code AND a.date_shift = b.date - WHERE - b.date >= '2020-03-01' AND b.date <= '2020-05-31' - AND b.state_name = (SELECT state_name FROM FourthState) -), -RankedCountiesPerDay AS ( - SELECT - county, - date, - daily_new_cases, - RANK() OVER (PARTITION BY date ORDER BY daily_new_cases DESC) as rank - FROM - CountyCases -), -TopCounties AS ( - SELECT - county, - COUNT(*) AS appearance_count - FROM - RankedCountiesPerDay - WHERE - rank <= 5 - GROUP BY - county - ORDER BY - appearance_count DESC - LIMIT 5 -) -SELECT - county -FROM - TopCounties; +WITH StateCases AS + (SELECT b.state_name, + b.date, + b.confirmed_cases - a.confirmed_cases AS daily_new_cases + FROM + (SELECT state_name, + state_fips_code, + confirmed_cases, + DATE_ADD(date, INTERVAL 1 DAY) AS date_shift + FROM `bigquery-public-data.covid19_nyt.us_states` + WHERE date >= '2020-02-29' + AND date <= '2020-05-30') a + JOIN `bigquery-public-data.covid19_nyt.us_states` b ON a.state_fips_code = b.state_fips_code + AND a.date_shift = b.date + WHERE b.date >= '2020-03-01' + AND b.date <= '2020-05-31'), + RankedStatesPerDay AS + (SELECT state_name, date, daily_new_cases, + RANK() OVER (PARTITION BY date + ORDER BY daily_new_cases DESC) AS rank + FROM StateCases), + TopStates AS + (SELECT state_name, + COUNT(*) AS appearance_count + FROM RankedStatesPerDay + WHERE rank <= 5 + GROUP BY state_name + ORDER BY appearance_count DESC), + FourthState AS + (SELECT state_name + FROM TopStates + LIMIT 1 + OFFSET 3), + CountyCases AS + (SELECT b.county, + b.date, + b.confirmed_cases - a.confirmed_cases AS daily_new_cases + FROM + (SELECT county, + county_fips_code, + confirmed_cases, + DATE_ADD(date, INTERVAL 1 DAY) AS date_shift + FROM `bigquery-public-data.covid19_nyt.us_counties` + WHERE date >= '2020-02-29' + AND date <= '2020-05-30') a + JOIN `bigquery-public-data.covid19_nyt.us_counties` b ON a.county_fips_code = b.county_fips_code + AND a.date_shift = b.date + WHERE b.date >= '2020-03-01' + AND b.date <= '2020-05-31' + AND b.state_name = + (SELECT state_name + FROM FourthState)), + RankedCountiesPerDay AS + (SELECT county, date, daily_new_cases, + RANK() OVER (PARTITION BY date + ORDER BY daily_new_cases DESC) AS rank + FROM CountyCases), + TopCounties AS + (SELECT county, + COUNT(*) AS appearance_count + FROM RankedCountiesPerDay + WHERE rank <= 5 + GROUP BY county + ORDER BY appearance_count DESC + LIMIT 5) +SELECT county +FROM TopCounties; diff --git a/spider2/queries/lite_bq143.sql b/spider2/queries/lite_bq143.sql index ee672b6818b5a02832217a44d389a0f7646bee8d..dcfa582c81d67119a54086116cf8bdc60885361e 100644 --- a/spider2/queries/lite_bq143.sql +++ b/spider2/queries/lite_bq143.sql @@ -1,59 +1,43 @@ -WITH -quant AS ( - SELECT - meta.sample_submitter_id, - meta.sample_type, - quant.case_id, - quant.aliquot_id, - quant.gene_symbol, - CAST(quant.protein_abundance_log2ratio AS FLOAT64) AS protein_abundance_log2ratio - FROM - `isb-cgc-bq.CPTAC.quant_proteome_CPTAC_CCRCC_discovery_study_pdc_current` AS quant - JOIN - `isb-cgc-bq.PDC_metadata.aliquot_to_case_mapping_current` AS meta - ON quant.case_id = meta.case_id - AND quant.aliquot_id = meta.aliquot_id - AND meta.sample_type IN ('Primary Tumor', 'Solid Tissue Normal') -), -gexp AS ( - SELECT DISTINCT - meta.sample_submitter_id, - meta.sample_type, - rnaseq.gene_name, - LOG(rnaseq.fpkm_unstranded + 1) AS HTSeq__FPKM -- Confirm the correct column name here - FROM - `isb-cgc-bq.CPTAC.RNAseq_hg38_gdc_current` AS rnaseq - JOIN - `isb-cgc-bq.PDC_metadata.aliquot_to_case_mapping_current` AS meta - ON meta.sample_submitter_id = rnaseq.sample_barcode -), -correlation AS ( - SELECT - quant.gene_symbol, - gexp.sample_type, - COUNT(*) AS n, - CORR(protein_abundance_log2ratio, HTSeq__FPKM) AS corr -- Confirm the correct column name here - FROM - quant - JOIN - gexp - ON quant.sample_submitter_id = gexp.sample_submitter_id - AND gexp.gene_name = quant.gene_symbol - AND gexp.sample_type = quant.sample_type - GROUP BY - quant.gene_symbol, gexp.sample_type -), -pval AS ( - SELECT - gene_symbol, - sample_type, - n, - corr - FROM - correlation - WHERE - ABS(corr) <= 0.5 -) -SELECT sample_type, AVG(corr) +WITH quant AS + (SELECT meta.sample_submitter_id, + meta.sample_type, + quant.case_id, + quant.aliquot_id, + quant.gene_symbol, + CAST(quant.protein_abundance_log2ratio AS FLOAT64) AS protein_abundance_log2ratio + FROM `isb-cgc-bq.CPTAC.quant_proteome_CPTAC_CCRCC_discovery_study_pdc_current` AS quant + JOIN `isb-cgc-bq.PDC_metadata.aliquot_to_case_mapping_current` AS meta ON quant.case_id = meta.case_id + AND quant.aliquot_id = meta.aliquot_id + AND meta.sample_type IN ('Primary Tumor', + 'Solid Tissue Normal')), + gexp AS + (SELECT DISTINCT meta.sample_submitter_id, + meta.sample_type, + rnaseq.gene_name, + LOG(rnaseq.fpkm_unstranded + 1) AS HTSeq__FPKM -- Confirm the correct column name here + + FROM `isb-cgc-bq.CPTAC.RNAseq_hg38_gdc_current` AS rnaseq + JOIN `isb-cgc-bq.PDC_metadata.aliquot_to_case_mapping_current` AS meta ON meta.sample_submitter_id = rnaseq.sample_barcode), + correlation AS + (SELECT quant.gene_symbol, + gexp.sample_type, + COUNT(*) AS n, + CORR(protein_abundance_log2ratio, HTSeq__FPKM) AS corr -- Confirm the correct column name here + + FROM quant + JOIN gexp ON quant.sample_submitter_id = gexp.sample_submitter_id + AND gexp.gene_name = quant.gene_symbol + AND gexp.sample_type = quant.sample_type + GROUP BY quant.gene_symbol, + gexp.sample_type), + pval AS + (SELECT gene_symbol, + sample_type, + n, + corr + FROM correlation + WHERE ABS(corr) <= 0.5) +SELECT sample_type, + AVG(corr) FROM pval GROUP BY sample_type; diff --git a/spider2/queries/lite_bq144.sql b/spider2/queries/lite_bq144.sql index 20f5f5733e858ac3db4dbc73af89715f2bbc797e..994d5147a9626bd75ee4af985704d6ef8da5db4f 100644 --- a/spider2/queries/lite_bq144.sql +++ b/spider2/queries/lite_bq144.sql @@ -1,66 +1,53 @@ -WITH outcomes AS ( -SELECT - - season, # 1994 - "win" AS label, # our label - win_seed AS seed, # ranking # this time without seed even - win_school_ncaa AS school_ncaa, - lose_seed AS opponent_seed, # ranking - lose_school_ncaa AS opponent_school_ncaa -FROM `data-to-insights.ncaa.mbb_historical_tournament_games` t -WHERE season >= 2014 -UNION ALL - -SELECT - - season, # 1994 - "loss" AS label, # our label - lose_seed AS seed, # ranking - lose_school_ncaa AS school_ncaa, - win_seed AS opponent_seed, # ranking - win_school_ncaa AS opponent_school_ncaa -FROM -`data-to-insights.ncaa.mbb_historical_tournament_games` t -WHERE season >= 2014 -UNION ALL - -SELECT - season, - label, - seed, - school_ncaa, - opponent_seed, - opponent_school_ncaa -FROM - `data-to-insights.ncaa.2018_tournament_results` -) -SELECT -o.season, -label, - seed, - school_ncaa, - team.pace_rank, - team.poss_40min, - team.pace_rating, - team.efficiency_rank, - team.pts_100poss, - team.efficiency_rating, - opponent_seed, - opponent_school_ncaa, - opp.pace_rank AS opp_pace_rank, - opp.poss_40min AS opp_poss_40min, - opp.pace_rating AS opp_pace_rating, - opp.efficiency_rank AS opp_efficiency_rank, - opp.pts_100poss AS opp_pts_100poss, - opp.efficiency_rating AS opp_efficiency_rating, - opp.pace_rank - team.pace_rank AS pace_rank_diff, - opp.poss_40min - team.poss_40min AS pace_stat_diff, - opp.pace_rating - team.pace_rating AS pace_rating_diff, - opp.efficiency_rank - team.efficiency_rank AS eff_rank_diff, - opp.pts_100poss - team.pts_100poss AS eff_stat_diff, - opp.efficiency_rating - team.efficiency_rating AS eff_rating_diff +WITH outcomes AS + (SELECT season, # 1994 + "win" AS label, # our label + win_seed AS seed, # ranking # this time without seed even + win_school_ncaa AS school_ncaa, + lose_seed AS opponent_seed, # ranking + lose_school_ncaa AS opponent_school_ncaa + FROM `data-to-insights.ncaa.mbb_historical_tournament_games` t + WHERE season >= 2014 + UNION ALL SELECT season, # 1994 + "loss" AS label, # our label + lose_seed AS seed, # ranking + lose_school_ncaa AS school_ncaa, + win_seed AS opponent_seed, # ranking + win_school_ncaa AS opponent_school_ncaa + FROM `data-to-insights.ncaa.mbb_historical_tournament_games` t + WHERE season >= 2014 + UNION ALL SELECT season, + label, + seed, + school_ncaa, + opponent_seed, + opponent_school_ncaa + FROM `data-to-insights.ncaa.2018_tournament_results`) +SELECT o.season, + label, + seed, + school_ncaa, + team.pace_rank, + team.poss_40min, + team.pace_rating, + team.efficiency_rank, + team.pts_100poss, + team.efficiency_rating, + opponent_seed, + opponent_school_ncaa, + opp.pace_rank AS opp_pace_rank, + opp.poss_40min AS opp_poss_40min, + opp.pace_rating AS opp_pace_rating, + opp.efficiency_rank AS opp_efficiency_rank, + opp.pts_100poss AS opp_pts_100poss, + opp.efficiency_rating AS opp_efficiency_rating, + opp.pace_rank - team.pace_rank AS pace_rank_diff, + opp.poss_40min - team.poss_40min AS pace_stat_diff, + opp.pace_rating - team.pace_rating AS pace_rating_diff, + opp.efficiency_rank - team.efficiency_rank AS eff_rank_diff, + opp.pts_100poss - team.pts_100poss AS eff_stat_diff, + opp.efficiency_rating - team.efficiency_rating AS eff_rating_diff FROM outcomes AS o -LEFT JOIN `data-to-insights.ncaa.feature_engineering` AS team -ON o.school_ncaa = team.team AND o.season = team.season -LEFT JOIN `data-to-insights.ncaa.feature_engineering` AS opp -ON o.opponent_school_ncaa = opp.team AND o.season = opp.season +LEFT JOIN `data-to-insights.ncaa.feature_engineering` AS team ON o.school_ncaa = team.team +AND o.season = team.season +LEFT JOIN `data-to-insights.ncaa.feature_engineering` AS opp ON o.opponent_school_ncaa = opp.team +AND o.season = opp.season diff --git a/spider2/queries/lite_bq151.sql b/spider2/queries/lite_bq151.sql index 460043dd0a27e159ca42cf87d8488fa2cf97faf8..2623e2cbf132e0a9b5e6347d5f08242565eebd14 100644 --- a/spider2/queries/lite_bq151.sql +++ b/spider2/queries/lite_bq151.sql @@ -1,74 +1,63 @@ -WITH -barcodes AS ( - SELECT bcr_patient_barcode AS ParticipantBarcode +WITH barcodes AS + (SELECT bcr_patient_barcode AS ParticipantBarcode FROM isb-cgc-bq.pancancer_atlas.Filtered_clinical_PANCAN_patient_with_followup - WHERE acronym = 'PAAD' -), -table1 AS ( -SELECT - t1.ParticipantBarcode, - IF(t2.ParticipantBarcode IS NULL, 'NO', 'YES') AS data -FROM - barcodes AS t1 -LEFT JOIN - ( - SELECT - ParticipantBarcode AS ParticipantBarcode - FROM isb-cgc-bq.pancancer_atlas.Filtered_MC3_MAF_V5_one_per_tumor_sample - WHERE Study = 'PAAD' AND Hugo_Symbol = 'KRAS' - AND FILTER = 'PASS' - GROUP BY ParticipantBarcode - ) AS t2 -ON t1.ParticipantBarcode = t2.ParticipantBarcode -), -table2 AS ( -SELECT - t1.ParticipantBarcode, - IF(t2.ParticipantBarcode IS NULL, 'NO', 'YES') AS data -FROM - barcodes AS t1 -LEFT JOIN - ( - SELECT - ParticipantBarcode AS ParticipantBarcode - FROM isb-cgc-bq.pancancer_atlas.Filtered_MC3_MAF_V5_one_per_tumor_sample - WHERE Study = 'PAAD' AND Hugo_Symbol = 'TP53' - AND FILTER = 'PASS' - GROUP BY ParticipantBarcode - ) AS t2 -ON t1.ParticipantBarcode = t2.ParticipantBarcode -), -summ_table AS ( -SELECT - n1.data AS data1, - n2.data AS data2, - COUNT(*) AS Nij -FROM - table1 AS n1 -INNER JOIN - table2 AS n2 -ON - n1.ParticipantBarcode = n2.ParticipantBarcode -GROUP BY - data1, data2 -), -contingency_table AS ( -SELECT - MAX(IF((data1 = 'YES') AND (data2 = 'YES'), Nij, 0)) AS a, - MAX(IF((data1 = 'YES') AND (data2 = 'NO'), Nij, 0)) AS b, - MAX(IF((data1 = 'NO') AND (data2 = 'YES'), Nij, 0)) AS c, - MAX(IF((data1 = 'NO') AND (data2 = 'NO'), Nij, 0)) AS d, - (MAX(IF((data1 = 'YES') AND (data2 = 'YES'), Nij, 0)) + MAX(IF((data1 = 'YES') AND (data2 = 'NO'), Nij, 0))) AS row1_total, - (MAX(IF((data1 = 'NO') AND (data2 = 'YES'), Nij, 0)) + MAX(IF((data1 = 'NO') AND (data2 = 'NO'), Nij, 0))) AS row2_total, - (MAX(IF((data1 = 'YES') AND (data2 = 'YES'), Nij, 0)) + MAX(IF((data1 = 'NO') AND (data2 = 'YES'), Nij, 0))) AS col1_total, - (MAX(IF((data1 = 'YES') AND (data2 = 'NO'), Nij, 0)) + MAX(IF((data1 = 'NO') AND (data2 = 'NO'), Nij, 0))) AS col2_total, - SUM(Nij) AS grand_total -FROM summ_table -) -SELECT - POWER((a - (row1_total * col1_total) / grand_total), 2) / ((row1_total * col1_total) / grand_total) + - POWER((b - (row1_total * col2_total) / grand_total), 2) / ((row1_total * col2_total) / grand_total) + - POWER((c - (row2_total * col1_total) / grand_total), 2) / ((row2_total * col1_total) / grand_total) + - POWER((d - (row2_total * col2_total) / grand_total), 2) / ((row2_total * col2_total) / grand_total) AS chi_square_statistic + WHERE acronym = 'PAAD'), + table1 AS + (SELECT t1.ParticipantBarcode, + IF(t2.ParticipantBarcode IS NULL, 'NO', 'YES') AS DATA + FROM barcodes AS t1 + LEFT JOIN + (SELECT ParticipantBarcode AS ParticipantBarcode + FROM isb-cgc-bq.pancancer_atlas.Filtered_MC3_MAF_V5_one_per_tumor_sample + WHERE Study = 'PAAD' + AND Hugo_Symbol = 'KRAS' + AND FILTER = 'PASS' + GROUP BY ParticipantBarcode) AS t2 ON t1.ParticipantBarcode = t2.ParticipantBarcode), + table2 AS + (SELECT t1.ParticipantBarcode, + IF(t2.ParticipantBarcode IS NULL, 'NO', 'YES') AS DATA + FROM barcodes AS t1 + LEFT JOIN + (SELECT ParticipantBarcode AS ParticipantBarcode + FROM isb-cgc-bq.pancancer_atlas.Filtered_MC3_MAF_V5_one_per_tumor_sample + WHERE Study = 'PAAD' + AND Hugo_Symbol = 'TP53' + AND FILTER = 'PASS' + GROUP BY ParticipantBarcode) AS t2 ON t1.ParticipantBarcode = t2.ParticipantBarcode), + summ_table AS + (SELECT n1.data AS data1, + n2.data AS data2, + COUNT(*) AS Nij + FROM table1 AS n1 + INNER JOIN table2 AS n2 ON n1.ParticipantBarcode = n2.ParticipantBarcode + GROUP BY data1, + data2), + contingency_table AS + (SELECT MAX(IF((data1 = 'YES') + AND (data2 = 'YES'), Nij, 0)) AS a, + MAX(IF((data1 = 'YES') + AND (data2 = 'NO'), Nij, 0)) AS b, + MAX(IF((data1 = 'NO') + AND (data2 = 'YES'), Nij, 0)) AS c, + MAX(IF((data1 = 'NO') + AND (data2 = 'NO'), Nij, 0)) AS d, + (MAX(IF((data1 = 'YES') + AND (data2 = 'YES'), Nij, 0)) + MAX(IF((data1 = 'YES') + AND (data2 = 'NO'), Nij, 0))) AS row1_total, + (MAX(IF((data1 = 'NO') + AND (data2 = 'YES'), Nij, 0)) + MAX(IF((data1 = 'NO') + AND (data2 = 'NO'), Nij, 0))) AS row2_total, + (MAX(IF((data1 = 'YES') + AND (data2 = 'YES'), Nij, 0)) + MAX(IF((data1 = 'NO') + AND (data2 = 'YES'), Nij, 0))) AS col1_total, + (MAX(IF((data1 = 'YES') + AND (data2 = 'NO'), Nij, 0)) + MAX(IF((data1 = 'NO') + AND (data2 = 'NO'), Nij, 0))) AS col2_total, + SUM(Nij) AS grand_total + FROM summ_table) +SELECT POWER((a - (row1_total * col1_total) / grand_total), 2) / ((row1_total * col1_total) / grand_total) + POWER((b - (row1_total * col2_total) / grand_total), 2) / ((row1_total * col2_total) / grand_total) + POWER((c - (row2_total * col1_total) / grand_total), 2) / ((row2_total * col1_total) / grand_total) + POWER((d - (row2_total * col2_total) / grand_total), 2) / ((row2_total * col2_total) / grand_total) AS chi_square_statistic FROM contingency_table -WHERE a IS NOT NULL AND b IS NOT NULL AND c IS NOT NULL AND d IS NOT NULL; +WHERE a IS NOT NULL + AND b IS NOT NULL + AND c IS NOT NULL + AND d IS NOT NULL; diff --git a/spider2/queries/lite_bq161.sql b/spider2/queries/lite_bq161.sql index f4e200547b79abe59fd68cccd63c87fa8d29d4d4..a18ba55e499154aa52b0ae43aaf2a90fbdd9529c 100644 --- a/spider2/queries/lite_bq161.sql +++ b/spider2/queries/lite_bq161.sql @@ -1,60 +1,43 @@ -WITH -barcodes AS ( - SELECT bcr_patient_barcode AS ParticipantBarcode +WITH barcodes AS + (SELECT bcr_patient_barcode AS ParticipantBarcode FROM `isb-cgc-bq.pancancer_atlas.Filtered_clinical_PANCAN_patient_with_followup` - WHERE acronym = 'PAAD' -) -,table1 AS ( + WHERE acronym = 'PAAD'), + table1 AS + (SELECT t1.ParticipantBarcode, + IF(t2.ParticipantBarcode IS NULL, 'NO', 'YES') AS DATA + FROM barcodes AS t1 + LEFT JOIN + (SELECT ParticipantBarcode AS ParticipantBarcode + FROM `isb-cgc-bq.pancancer_atlas.Filtered_MC3_MAF_V5_one_per_tumor_sample` + WHERE Study = 'PAAD' + AND Hugo_Symbol = 'KRAS' + AND FILTER = 'PASS' + GROUP BY ParticipantBarcode) AS t2 ON t1.ParticipantBarcode = t2.ParticipantBarcode), + table2 AS + (SELECT t1.ParticipantBarcode, + IF(t2.ParticipantBarcode IS NULL, 'NO', 'YES') AS DATA + FROM barcodes AS t1 + LEFT JOIN + (SELECT ParticipantBarcode AS ParticipantBarcode + FROM `isb-cgc-bq.pancancer_atlas.Filtered_MC3_MAF_V5_one_per_tumor_sample` + WHERE Study = 'PAAD' + AND Hugo_Symbol = 'TP53' + AND FILTER = 'PASS' + GROUP BY ParticipantBarcode) AS t2 ON t1.ParticipantBarcode = t2.ParticipantBarcode), + INFO AS + (SELECT n1.data AS data1, + n2.data AS data2, + COUNT(*) AS Nij + FROM table1 AS n1 + INNER JOIN table2 AS n2 ON n1.ParticipantBarcode = n2.ParticipantBarcode + GROUP BY data1, + data2) SELECT - t1.ParticipantBarcode, - IF( t2.ParticipantBarcode is null, 'NO', 'YES') as data -FROM - barcodes AS t1 -LEFT JOIN - ( - SELECT - ParticipantBarcode AS ParticipantBarcode - FROM `isb-cgc-bq.pancancer_atlas.Filtered_MC3_MAF_V5_one_per_tumor_sample` - WHERE Study = 'PAAD' AND Hugo_Symbol = 'KRAS' - AND FILTER = 'PASS' - GROUP BY ParticipantBarcode - ) AS t2 -ON t1.ParticipantBarcode = t2.ParticipantBarcode -) -,table2 AS ( -SELECT - t1.ParticipantBarcode, - IF( t2.ParticipantBarcode is null, 'NO', 'YES') as data -FROM - barcodes AS t1 -LEFT JOIN - ( - SELECT - ParticipantBarcode AS ParticipantBarcode - FROM `isb-cgc-bq.pancancer_atlas.Filtered_MC3_MAF_V5_one_per_tumor_sample` - WHERE Study = 'PAAD' AND Hugo_Symbol = 'TP53' - AND FILTER = 'PASS' - GROUP BY ParticipantBarcode - ) AS t2 -ON t1.ParticipantBarcode = t2.ParticipantBarcode -), - -INFO AS ( -SELECT - n1.data as data1, - n2.data as data2, - COUNT(*) as Nij -FROM - table1 AS n1 -INNER JOIN - table2 AS n2 -ON - n1.ParticipantBarcode = n2.ParticipantBarcode -GROUP BY - data1, data2 -) - -SELECT -(SELECT Nij FROM INFO WHERE data1="YES" AND data2="YES") -- -(SELECT Nij FROM INFO WHERE data1="NO" AND data2="NO") + (SELECT Nij + FROM INFO + WHERE data1="YES" + AND data2="YES") - + (SELECT Nij + FROM INFO + WHERE data1="NO" + AND data2="NO") diff --git a/spider2/queries/lite_bq172.sql b/spider2/queries/lite_bq172.sql index 34139b028693d827060e3e6f2e1840f4814737ca..b6c4669f77d30c9c2db49428d15e1d5740870119 100644 --- a/spider2/queries/lite_bq172.sql +++ b/spider2/queries/lite_bq172.sql @@ -1,35 +1,23 @@ -WITH ny_top_drug AS ( - SELECT - drug_name AS drug_name, - ROUND(SUM(total_claim_count)) AS total_claim_count - FROM - `bigquery-public-data.cms_medicare.part_d_prescriber_2014` - WHERE - nppes_provider_state = 'NY' - GROUP BY - drug_name - ORDER BY - total_claim_count DESC - LIMIT 1 -), -top_5_states AS ( - SELECT - nppes_provider_state AS state, - SUM(total_claim_count) AS total_claim_count, - SUM(total_drug_cost) AS total_drug_cost - FROM - `bigquery-public-data.cms_medicare.part_d_prescriber_2014` - WHERE - drug_name = (SELECT drug_name FROM ny_top_drug) - GROUP BY - state - ORDER BY - total_claim_count DESC - LIMIT 5 -) -SELECT - state, - total_claim_count, - total_drug_cost -FROM - top_5_states; +WITH ny_top_drug AS + (SELECT drug_name AS drug_name, + ROUND(SUM(total_claim_count)) AS total_claim_count + FROM `bigquery-public-data.cms_medicare.part_d_prescriber_2014` + WHERE nppes_provider_state = 'NY' + GROUP BY drug_name + ORDER BY total_claim_count DESC + LIMIT 1), + top_5_states AS + (SELECT nppes_provider_state AS state, + SUM(total_claim_count) AS total_claim_count, + SUM(total_drug_cost) AS total_drug_cost + FROM `bigquery-public-data.cms_medicare.part_d_prescriber_2014` + WHERE drug_name = + (SELECT drug_name + FROM ny_top_drug) + GROUP BY state + ORDER BY total_claim_count DESC + LIMIT 5) +SELECT state, + total_claim_count, + total_drug_cost +FROM top_5_states; diff --git a/spider2/queries/lite_bq185.sql b/spider2/queries/lite_bq185.sql index 4a06745b6ffa4be081ed6191c53bb8cc617b880c..46262006fda1d4aa2437e3c1976f6b4c9d5c15b2 100644 --- a/spider2/queries/lite_bq185.sql +++ b/spider2/queries/lite_bq185.sql @@ -1,20 +1,13 @@ -SELECT - AVG(TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) / 60.0) AS average_trip_duration_in_minutes +SELECT AVG(TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) / 60.0) AS average_trip_duration_in_minutes FROM -( - SELECT * - FROM `bigquery-public-data.new_york_taxi_trips.tlc_yellow_trips_2016` t - WHERE - pickup_datetime BETWEEN '2016-02-01' AND '2016-02-07' AND - dropoff_datetime BETWEEN '2016-02-01' AND '2016-02-07' AND - TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) > 0 AND - passenger_count > 3 AND - trip_distance >= 10 -) t -INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz -ON t.pickup_location_id = tz.zone_id -INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz1 -ON t.dropoff_location_id = tz1.zone_id -WHERE - tz.borough = "Brooklyn" AND - tz1.borough = "Brooklyn"; + (SELECT * + FROM `bigquery-public-data.new_york_taxi_trips.tlc_yellow_trips_2016` t + WHERE pickup_datetime BETWEEN '2016-02-01' AND '2016-02-07' + AND dropoff_datetime BETWEEN '2016-02-01' AND '2016-02-07' + AND TIMESTAMP_DIFF(dropoff_datetime, pickup_datetime, SECOND) > 0 + AND passenger_count > 3 + AND trip_distance >= 10) t +INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz ON t.pickup_location_id = tz.zone_id +INNER JOIN `bigquery-public-data.new_york_taxi_trips.taxi_zone_geom` tz1 ON t.dropoff_location_id = tz1.zone_id +WHERE tz.borough = "Brooklyn" + AND tz1.borough = "Brooklyn"; diff --git a/spider2/queries/lite_bq198.sql b/spider2/queries/lite_bq198.sql index 1070b3cbf240d16c6266b0e7e4d66650269ae503..4b06635514830bc2d6142fafd51021a120bbfbd7 100644 --- a/spider2/queries/lite_bq198.sql +++ b/spider2/queries/lite_bq198.sql @@ -1,32 +1,20 @@ -SELECT - team_name, - COUNT(*) AS top_performer_count -FROM ( - SELECT - DISTINCT c2.season, - c2.market AS team_name - FROM ( - SELECT - season AS a, - MAX(wins) AS win_max - FROM - `bigquery-public-data.ncaa_basketball.mbb_historical_teams_seasons` - WHERE - season<=2000 - AND season >=1900 - GROUP BY - season ), - `bigquery-public-data.ncaa_basketball.mbb_historical_teams_seasons` c2 - WHERE - win_max = c2.wins - AND a = c2.season - AND c2.market IS NOT NULL - ORDER BY - c2.season) -GROUP BY - team_name -ORDER BY - top_performer_count DESC, - team_name -LIMIT - 5 +SELECT team_name, + COUNT(*) AS top_performer_count +FROM + (SELECT DISTINCT c2.season, + c2.market AS team_name + FROM + (SELECT season AS a, + MAX(wins) AS win_max + FROM `bigquery-public-data.ncaa_basketball.mbb_historical_teams_seasons` + WHERE season<=2000 + AND season >=1900 + GROUP BY season), `bigquery-public-data.ncaa_basketball.mbb_historical_teams_seasons` c2 + WHERE win_max = c2.wins + AND a = c2.season + AND c2.market IS NOT NULL + ORDER BY c2.season) +GROUP BY team_name +ORDER BY top_performer_count DESC, + team_name +LIMIT 5 diff --git a/spider2/queries/lite_bq199.sql b/spider2/queries/lite_bq199.sql index f773ba131f6157d7f672037fab14f44cab3ada97..d86820d72cdde443279dab79940a19527e3a6535 100644 --- a/spider2/queries/lite_bq199.sql +++ b/spider2/queries/lite_bq199.sql @@ -1,51 +1,33 @@ -WITH price_2020 AS ( - SELECT - category_name AS category, - AVG(state_bottle_retail / (bottle_volume_ml / 1000)) AS avg_price_liter_2020 - FROM - `bigquery-public-data.iowa_liquor_sales.sales` - WHERE - bottle_volume_ml > 0 - AND EXTRACT(YEAR FROM date) = 2020 - GROUP BY - category -), -price_2019 AS ( - SELECT - category_name AS category, - AVG(state_bottle_retail / (bottle_volume_ml / 1000)) AS avg_price_liter_2019 - FROM - `bigquery-public-data.iowa_liquor_sales.sales` - WHERE - bottle_volume_ml > 0 - AND EXTRACT(YEAR FROM date) = 2019 - GROUP BY - category -), -price_2021 AS ( - SELECT - category_name AS category, - AVG(state_bottle_retail / (bottle_volume_ml / 1000)) AS avg_price_liter_2021 - FROM - `bigquery-public-data.iowa_liquor_sales.sales` - WHERE - bottle_volume_ml > 0 - AND EXTRACT(YEAR FROM date) = 2021 - GROUP BY - category -) -SELECT - price_2021.category, - price_2019.avg_price_liter_2019, - price_2020.avg_price_liter_2020, - price_2021.avg_price_liter_2021 -FROM - price_2021 -LEFT JOIN - price_2019 ON price_2021.category = price_2019.category -LEFT JOIN - price_2020 ON price_2021.category = price_2020.category -ORDER BY - price_2021.avg_price_liter_2021 DESC -LIMIT - 10; +WITH price_2020 AS + (SELECT category_name AS category, + AVG(state_bottle_retail / (bottle_volume_ml / 1000)) AS avg_price_liter_2020 + FROM `bigquery-public-data.iowa_liquor_sales.sales` + WHERE bottle_volume_ml > 0 + AND EXTRACT(YEAR + FROM date) = 2020 + GROUP BY category), + price_2019 AS + (SELECT category_name AS category, + AVG(state_bottle_retail / (bottle_volume_ml / 1000)) AS avg_price_liter_2019 + FROM `bigquery-public-data.iowa_liquor_sales.sales` + WHERE bottle_volume_ml > 0 + AND EXTRACT(YEAR + FROM date) = 2019 + GROUP BY category), + price_2021 AS + (SELECT category_name AS category, + AVG(state_bottle_retail / (bottle_volume_ml / 1000)) AS avg_price_liter_2021 + FROM `bigquery-public-data.iowa_liquor_sales.sales` + WHERE bottle_volume_ml > 0 + AND EXTRACT(YEAR + FROM date) = 2021 + GROUP BY category) +SELECT price_2021.category, + price_2019.avg_price_liter_2019, + price_2020.avg_price_liter_2020, + price_2021.avg_price_liter_2021 +FROM price_2021 +LEFT JOIN price_2019 ON price_2021.category = price_2019.category +LEFT JOIN price_2020 ON price_2021.category = price_2020.category +ORDER BY price_2021.avg_price_liter_2021 DESC +LIMIT 10; diff --git a/spider2/queries/lite_bq203.sql b/spider2/queries/lite_bq203.sql index 4dd2dbe406c430cc302177c75fc2965d0a53e72e..7e2bdfc8d5ba09d45c30e312bafe31a2e7ec542f 100644 --- a/spider2/queries/lite_bq203.sql +++ b/spider2/queries/lite_bq203.sql @@ -1,16 +1,17 @@ -WITH stations_n_entrances AS ( - SELECT borough_name,s.station_name,entry,ada_compliant - FROM `bigquery-public-data.new_york_subway.stations` s - JOIN `bigquery-public-data.new_york_subway.station_entrances` se - ON s.station_name = se.station_name - ) - -SELECT se.borough_name, COUNT(DISTINCT se.station_name) num_stations, - COUNT(DISTINCT adas.station_name) num_stations_w_compliant_entrance, - (100*COUNT(DISTINCT adas.station_name))/(COUNT(DISTINCT se.station_name)) percent_compliant_stations +WITH stations_n_entrances AS + (SELECT borough_name, + s.station_name, + entry, + ada_compliant + FROM `bigquery-public-data.new_york_subway.stations` s + JOIN `bigquery-public-data.new_york_subway.station_entrances` se ON s.station_name = se.station_name) +SELECT se.borough_name, + COUNT(DISTINCT se.station_name) num_stations, + COUNT(DISTINCT adas.station_name) num_stations_w_compliant_entrance, + (100*COUNT(DISTINCT adas.station_name))/(COUNT(DISTINCT se.station_name)) percent_compliant_stations FROM `stations_n_entrances` se -LEFT JOIN `stations_n_entrances` adas -ON se.station_name = adas.station_name -AND adas.entry AND adas.ada_compliant +LEFT JOIN `stations_n_entrances` adas ON se.station_name = adas.station_name +AND adas.entry +AND adas.ada_compliant GROUP BY 1 ORDER BY 4 DESC diff --git a/spider2/queries/lite_bq204.sql b/spider2/queries/lite_bq204.sql index 1f763891968e465d86acfcc53613970907f8fa54..5c734cd1f57377120b83d55bda0535c6617086bc 100644 --- a/spider2/queries/lite_bq204.sql +++ b/spider2/queries/lite_bq204.sql @@ -1,29 +1,24 @@ -SELECT user -FROM ( -Select user - From `bigquery-public-data.eclipse_megamovie.photos_v_0_1` - UNION ALL - Select user - From`bigquery-public-data.eclipse_megamovie.photos_v_0_2` - UNION ALL - Select user - From`bigquery-public-data.eclipse_megamovie.photos_v_0_3` -) -GROUP BY user -HAVING COUNT (user)=( -SELECT MAX(mycount) -FROM ( -SELECT user, COUNT(user) mycount -FROM ( -Select user - From `bigquery-public-data.eclipse_megamovie.photos_v_0_1` - UNION ALL - Select user - From`bigquery-public-data.eclipse_megamovie.photos_v_0_2` - UNION ALL - Select user - From`bigquery-public-data.eclipse_megamovie.photos_v_0_3` -) -GROUP BY user)) -ORDER BY COUNT(user) +SELECT USER +FROM + (SELECT USER + FROM `bigquery-public-data.eclipse_megamovie.photos_v_0_1` + UNION ALL SELECT USER + FROM`bigquery-public-data.eclipse_megamovie.photos_v_0_2` + UNION ALL SELECT USER + FROM`bigquery-public-data.eclipse_megamovie.photos_v_0_3`) +GROUP BY USER +HAVING COUNT (USER)= + (SELECT MAX(mycount) + FROM + (SELECT USER, + COUNT(USER) mycount + FROM + (SELECT USER + FROM `bigquery-public-data.eclipse_megamovie.photos_v_0_1` + UNION ALL SELECT USER + FROM`bigquery-public-data.eclipse_megamovie.photos_v_0_2` + UNION ALL SELECT USER + FROM`bigquery-public-data.eclipse_megamovie.photos_v_0_3`) + GROUP BY USER)) +ORDER BY COUNT(USER) LIMIT 1 diff --git a/spider2/queries/lite_bq218.sql b/spider2/queries/lite_bq218.sql index 86b6085bf96a789389b3175c38858c675429142b..270f9356a88bbd5825fce0eaa6bc89a91948420f 100644 --- a/spider2/queries/lite_bq218.sql +++ b/spider2/queries/lite_bq218.sql @@ -1,49 +1,41 @@ -WITH AnnualSales AS ( - SELECT - item_description, - EXTRACT(YEAR FROM date) AS year, - SUM(sale_dollars) AS total_sales_revenue, - COUNT(DISTINCT invoice_and_item_number) AS unique_purchases - FROM - `bigquery-public-data.iowa_liquor_sales.sales` - WHERE - EXTRACT(YEAR FROM date) IN (2022, 2023) - AND item_description IS NOT NULL - AND sale_dollars IS NOT NULL - GROUP BY - item_description, year -), -YoYGrowth AS ( - SELECT - curr.item_description, - curr.year, - curr.total_sales_revenue, - curr.unique_purchases, - LAG(curr.total_sales_revenue) OVER(PARTITION BY curr.item_description ORDER BY curr.year) AS prev_year_sales_revenue, - (curr.total_sales_revenue - LAG(curr.total_sales_revenue) OVER(PARTITION BY curr.item_description ORDER BY curr.year)) / LAG(curr.total_sales_revenue) OVER(PARTITION BY curr.item_description ORDER BY curr.year) * 100 AS yoy_growth_percentage - FROM - AnnualSales curr -), -total_info AS ( -SELECT - item_description, - year, - total_sales_revenue, - unique_purchases, - prev_year_sales_revenue, - yoy_growth_percentage -FROM - YoYGrowth -WHERE - year = 2023 - AND prev_year_sales_revenue IS NOT NULL -- Exclude rows where there's no previous year data to calculate YoY growth -ORDER BY - year, total_sales_revenue -DESC -) - +WITH AnnualSales AS + (SELECT item_description, + EXTRACT(YEAR + FROM date) AS YEAR, + SUM(sale_dollars) AS total_sales_revenue, + COUNT(DISTINCT invoice_and_item_number) AS unique_purchases + FROM `bigquery-public-data.iowa_liquor_sales.sales` + WHERE EXTRACT(YEAR + FROM date) IN (2022, + 2023) + AND item_description IS NOT NULL + AND sale_dollars IS NOT NULL + GROUP BY item_description, + YEAR), + YoYGrowth AS + (SELECT curr.item_description, + curr.year, + curr.total_sales_revenue, + curr.unique_purchases, + LAG(curr.total_sales_revenue) OVER(PARTITION BY curr.item_description + ORDER BY curr.year) AS prev_year_sales_revenue, + (curr.total_sales_revenue - LAG(curr.total_sales_revenue) OVER(PARTITION BY curr.item_description + ORDER BY curr.year)) / LAG(curr.total_sales_revenue) OVER(PARTITION BY curr.item_description + ORDER BY curr.year) * 100 AS yoy_growth_percentage + FROM AnnualSales curr), + total_info AS + (SELECT item_description, + YEAR, + total_sales_revenue, + unique_purchases, + prev_year_sales_revenue, + yoy_growth_percentage + FROM YoYGrowth + WHERE YEAR = 2023 + AND prev_year_sales_revenue IS NOT NULL -- Exclude rows where there's no previous year data to calculate YoY growth +ORDER BY YEAR, + total_sales_revenue DESC) SELECT item_description FROM total_info -order by yoy_growth_percentage -DESC +ORDER BY yoy_growth_percentage DESC LIMIT 5 diff --git a/spider2/queries/lite_bq227.sql b/spider2/queries/lite_bq227.sql index f745434f18b13d0d0912901c28760c00e849906b..67f9164f99d513a7f483715bb124691d82cc9cad 100644 --- a/spider2/queries/lite_bq227.sql +++ b/spider2/queries/lite_bq227.sql @@ -1,42 +1,68 @@ -WITH top5_categories AS ( - SELECT minor_category - FROM `bigquery-public-data.london_crime.crime_by_lsoa` - WHERE year = 2008 - GROUP BY minor_category - ORDER BY SUM(value) DESC - LIMIT 5 -), - -total_crimes_per_year AS ( - SELECT - year, - SUM(value) AS total_crimes_year - FROM `bigquery-public-data.london_crime.crime_by_lsoa` - GROUP BY year -), - -top5_crimes_per_year AS ( - SELECT - year, - minor_category, - SUM(value) AS total_crimes_category_year - FROM `bigquery-public-data.london_crime.crime_by_lsoa` - WHERE minor_category IN (SELECT minor_category FROM top5_categories) - GROUP BY year, minor_category -) - -SELECT - t.year, - ROUND(SUM(CASE WHEN t.minor_category = (SELECT minor_category FROM top5_categories LIMIT 1 OFFSET 0) THEN t.total_crimes_category_year ELSE 0 END) / y.total_crimes_year * 100, 2) AS `Category 1`, - ROUND(SUM(CASE WHEN t.minor_category = (SELECT minor_category FROM top5_categories LIMIT 1 OFFSET 1) THEN t.total_crimes_category_year ELSE 0 END) / y.total_crimes_year * 100, 2) AS `Category 2`, - ROUND(SUM(CASE WHEN t.minor_category = (SELECT minor_category FROM top5_categories LIMIT 1 OFFSET 2) THEN t.total_crimes_category_year ELSE 0 END) / y.total_crimes_year * 100, 2) AS `Category 3`, - ROUND(SUM(CASE WHEN t.minor_category = (SELECT minor_category FROM top5_categories LIMIT 1 OFFSET 3) THEN t.total_crimes_category_year ELSE 0 END) / y.total_crimes_year * 100, 2) AS `Category 4`, - ROUND(SUM(CASE WHEN t.minor_category = (SELECT minor_category FROM top5_categories LIMIT 1 OFFSET 4) THEN t.total_crimes_category_year ELSE 0 END) / y.total_crimes_year * 100, 2) AS `Category 5` -FROM - top5_crimes_per_year t -JOIN - total_crimes_per_year y ON t.year = y.year -GROUP BY - t.year, y.total_crimes_year -ORDER BY - t.year; +WITH top5_categories AS + (SELECT minor_category + FROM `bigquery-public-data.london_crime.crime_by_lsoa` + WHERE YEAR = 2008 + GROUP BY minor_category + ORDER BY SUM(value) DESC + LIMIT 5), + total_crimes_per_year AS + (SELECT YEAR, + SUM(value) AS total_crimes_year + FROM `bigquery-public-data.london_crime.crime_by_lsoa` + GROUP BY YEAR), + top5_crimes_per_year AS + (SELECT YEAR, + minor_category, + SUM(value) AS total_crimes_category_year + FROM `bigquery-public-data.london_crime.crime_by_lsoa` + WHERE minor_category IN + (SELECT minor_category + FROM top5_categories) + GROUP BY YEAR, + minor_category) +SELECT t.year, + ROUND(SUM(CASE + WHEN t.minor_category = + (SELECT minor_category + FROM top5_categories + LIMIT 1 + OFFSET 0) THEN t.total_crimes_category_year + ELSE 0 + END) / y.total_crimes_year * 100, 2) AS `Category 1`, + ROUND(SUM(CASE + WHEN t.minor_category = + (SELECT minor_category + FROM top5_categories + LIMIT 1 + OFFSET 1) THEN t.total_crimes_category_year + ELSE 0 + END) / y.total_crimes_year * 100, 2) AS `Category 2`, + ROUND(SUM(CASE + WHEN t.minor_category = + (SELECT minor_category + FROM top5_categories + LIMIT 1 + OFFSET 2) THEN t.total_crimes_category_year + ELSE 0 + END) / y.total_crimes_year * 100, 2) AS `Category 3`, + ROUND(SUM(CASE + WHEN t.minor_category = + (SELECT minor_category + FROM top5_categories + LIMIT 1 + OFFSET 3) THEN t.total_crimes_category_year + ELSE 0 + END) / y.total_crimes_year * 100, 2) AS `Category 4`, + ROUND(SUM(CASE + WHEN t.minor_category = + (SELECT minor_category + FROM top5_categories + LIMIT 1 + OFFSET 4) THEN t.total_crimes_category_year + ELSE 0 + END) / y.total_crimes_year * 100, 2) AS `Category 5` +FROM top5_crimes_per_year t +JOIN total_crimes_per_year y ON t.year = y.year +GROUP BY t.year, + y.total_crimes_year +ORDER BY t.year; diff --git a/spider2/queries/lite_bq228.sql b/spider2/queries/lite_bq228.sql index af1430a8c23bb04fa3d221f5c9b89db0569d971e..7e5116f7bf04fc3e2794f11a9a141517064d5d6d 100644 --- a/spider2/queries/lite_bq228.sql +++ b/spider2/queries/lite_bq228.sql @@ -1,27 +1,18 @@ -WITH ranked_crimes AS ( - SELECT - borough, - major_category, - RANK() OVER(PARTITION BY borough ORDER BY SUM(value) DESC) AS rank_per_borough, - SUM(value) AS no_of_incidents - FROM - `bigquery-public-data.london_crime.crime_by_lsoa` - GROUP BY - borough, - major_category -) - -SELECT - borough, - major_category, - rank_per_borough, - no_of_incidents -FROM - ranked_crimes -WHERE - rank_per_borough <= 3 -AND - borough = 'Barking and Dagenham' -ORDER BY - borough, - rank_per_borough; +WITH ranked_crimes AS + (SELECT borough, + major_category, + RANK() OVER(PARTITION BY borough + ORDER BY SUM(value) DESC) AS rank_per_borough, + SUM(value) AS no_of_incidents + FROM `bigquery-public-data.london_crime.crime_by_lsoa` + GROUP BY borough, + major_category) +SELECT borough, + major_category, + rank_per_borough, + no_of_incidents +FROM ranked_crimes +WHERE rank_per_borough <= 3 + AND borough = 'Barking and Dagenham' +ORDER BY borough, + rank_per_borough; diff --git a/spider2/queries/lite_bq232.sql b/spider2/queries/lite_bq232.sql index 3e728b2103a93ab7ca1b96ab455cac837b1ae727..4eac7cb4709656a7e630eeb03f80cc89fff3f1e7 100644 --- a/spider2/queries/lite_bq232.sql +++ b/spider2/queries/lite_bq232.sql @@ -1,38 +1,33 @@ -WITH borough_data AS ( - SELECT - year, - month, - borough, - major_category, - minor_category, - SUM(value) AS total, - CASE - WHEN - major_category = 'Theft and Handling' - THEN - 'Theft and Handling' - ELSE - 'Other' - END AS major_division, - CASE - WHEN - minor_category = 'Other Theft' THEN minor_category - ELSE - 'Other' - END AS minor_division, - FROM - bigquery-public-data.london_crime.crime_by_lsoa - GROUP BY 1,2,3,4,5 - ORDER BY 1,2 -) - -SELECT year, SUM(total) AS year_total +WITH borough_data AS + (SELECT YEAR, + MONTH, + borough, + major_category, + minor_category, + SUM(value) AS total, + CASE + WHEN major_category = 'Theft and Handling' THEN 'Theft and Handling' + ELSE 'Other' + END AS major_division, + CASE + WHEN minor_category = 'Other Theft' THEN minor_category + ELSE 'Other' + END AS minor_division, + FROM bigquery-PUBLIC-data.london_crime.crime_by_lsoa + GROUP BY 1, + 2, + 3, + 4, + 5 + ORDER BY 1, + 2) +SELECT YEAR, + SUM(total) AS year_total FROM borough_data -WHERE - borough = 'Westminster' -AND - major_division != 'Other' -AND - minor_division != 'Other' -GROUP BY year, major_division, minor_division -ORDER BY year; +WHERE borough = 'Westminster' + AND major_division != 'Other' + AND minor_division != 'Other' +GROUP BY YEAR, + major_division, + minor_division +ORDER BY YEAR; diff --git a/spider2/queries/lite_bq234.sql b/spider2/queries/lite_bq234.sql index 5d14774420deea333eeee566ff2a32d5574833a8..65c74c6053c79bb0990093559fc9438dea447c0c 100644 --- a/spider2/queries/lite_bq234.sql +++ b/spider2/queries/lite_bq234.sql @@ -1,34 +1,23 @@ -SELECT - A.state, - drug_name, - total_claim_count -FROM ( - SELECT - generic_name AS drug_name, - nppes_provider_state AS state, - ROUND(SUM(total_claim_count)) AS total_claim_count, - ROUND(SUM(total_day_supply)) AS day_supply, - ROUND(SUM(total_drug_cost)) / 1e6 AS total_cost_millions - FROM - `bigquery-public-data.cms_medicare.part_d_prescriber_2014` - GROUP BY - state, - drug_name) A -INNER JOIN ( - SELECT - state, - MAX(total_claim_count) AS max_total_claim_count - FROM ( - SELECT - nppes_provider_state AS state, - ROUND(SUM(total_claim_count)) AS total_claim_count - FROM - `bigquery-public-data.cms_medicare.part_d_prescriber_2014` - GROUP BY - state, - generic_name) - GROUP BY - state) B -ON - A.state = B.state - AND A.total_claim_count = B.max_total_claim_count; +SELECT A.state, + drug_name, + total_claim_count +FROM + (SELECT generic_name AS drug_name, + nppes_provider_state AS state, + ROUND(SUM(total_claim_count)) AS total_claim_count, + ROUND(SUM(total_day_supply)) AS day_supply, + ROUND(SUM(total_drug_cost)) / 1e6 AS total_cost_millions + FROM `bigquery-public-data.cms_medicare.part_d_prescriber_2014` + GROUP BY state, + drug_name) A +INNER JOIN + (SELECT state, + MAX(total_claim_count) AS max_total_claim_count + FROM + (SELECT nppes_provider_state AS state, + ROUND(SUM(total_claim_count)) AS total_claim_count + FROM `bigquery-public-data.cms_medicare.part_d_prescriber_2014` + GROUP BY state, + generic_name) + GROUP BY state) B ON A.state = B.state +AND A.total_claim_count = B.max_total_claim_count; diff --git a/spider2/queries/lite_bq235.sql b/spider2/queries/lite_bq235.sql index 0460f56e723946c15bed59b63e391e4fa7173fa5..f32de5b78cdf1d45cc0047ec62bc4561fea14de3 100644 --- a/spider2/queries/lite_bq235.sql +++ b/spider2/queries/lite_bq235.sql @@ -1,50 +1,36 @@ -SELECT - Provider_Name +SELECT Provider_Name FROM -( -SELECT - OP.provider_state AS State, - OP.provider_city AS City, - OP.provider_id AS Provider_ID, - OP.provider_name AS Provider_Name, - ROUND(OP.average_OP_cost) AS Average_OP_Cost, - ROUND(IP.average_IP_cost) AS Average_IP_Cost, - ROUND(OP.average_OP_cost + IP.average_IP_cost) AS Combined_Average_Cost -FROM ( - SELECT - provider_state, - provider_city, - provider_id, - provider_name, - SUM(average_total_payments*outpatient_services)/SUM(outpatient_services) AS average_OP_cost - FROM - `bigquery-public-data.cms_medicare.outpatient_charges_2014` - GROUP BY - provider_state, - provider_city, - provider_id, - provider_name ) AS OP -INNER JOIN ( - SELECT - provider_state, - provider_city, - provider_id, - provider_name, - SUM(average_medicare_payments*total_discharges)/SUM(total_discharges) AS average_IP_cost - FROM - `bigquery-public-data.cms_medicare.inpatient_charges_2014` - GROUP BY - provider_state, - provider_city, - provider_id, - provider_name ) AS IP -ON - OP.provider_id = IP.provider_id - AND OP.provider_state = IP.provider_state - AND OP.provider_city = IP.provider_city - AND OP.provider_name = IP.provider_name -ORDER BY - combined_average_cost DESC -LIMIT - 1 -); + (SELECT OP.provider_state AS State, + OP.provider_city AS City, + OP.provider_id AS Provider_ID, + OP.provider_name AS Provider_Name, + ROUND(OP.average_OP_cost) AS Average_OP_Cost, + ROUND(IP.average_IP_cost) AS Average_IP_Cost, + ROUND(OP.average_OP_cost + IP.average_IP_cost) AS Combined_Average_Cost + FROM + (SELECT provider_state, + provider_city, + provider_id, + provider_name, + SUM(average_total_payments*outpatient_services)/SUM(outpatient_services) AS average_OP_cost + FROM `bigquery-public-data.cms_medicare.outpatient_charges_2014` + GROUP BY provider_state, + provider_city, + provider_id, + provider_name) AS OP + INNER JOIN + (SELECT provider_state, + provider_city, + provider_id, + provider_name, + SUM(average_medicare_payments*total_discharges)/SUM(total_discharges) AS average_IP_cost + FROM `bigquery-public-data.cms_medicare.inpatient_charges_2014` + GROUP BY provider_state, + provider_city, + provider_id, + provider_name) AS IP ON OP.provider_id = IP.provider_id + AND OP.provider_state = IP.provider_state + AND OP.provider_city = IP.provider_city + AND OP.provider_name = IP.provider_name + ORDER BY combined_average_cost DESC + LIMIT 1); diff --git a/spider2/queries/lite_bq268.sql b/spider2/queries/lite_bq268.sql index d7766eea22663701a05cba258b0d934f7e34b68e..93568bcb005c7b54bfe2392407407991d6d00c4a 100644 --- a/spider2/queries/lite_bq268.sql +++ b/spider2/queries/lite_bq268.sql @@ -1,42 +1,54 @@ -WITH - -visit AS ( -SELECT fullvisitorid, MIN(date) AS date_first_visit, MAX(date) AS date_last_visit -FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` GROUP BY fullvisitorid), - -device_visit AS ( -SELECT DISTINCT fullvisitorid, date, device.deviceCategory -FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*`), - -transactions AS ( -SELECT fullvisitorid, MIN(date) AS date_transactions, 1 AS transaction -FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, UNNEST(ga.hits) AS hits -WHERE hits.transaction.transactionId IS NOT NULL GROUP BY fullvisitorid), - -device_transactions AS ( -SELECT DISTINCT fullvisitorid, date, device.deviceCategory -FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, UNNEST(ga.hits) AS hits -WHERE hits.transaction.transactionId IS NOT NULL), - -visits_transactions AS ( -SELECT visit.fullvisitorid, date_first_visit, date_transactions, date_last_visit , - device_visit.deviceCategory AS device_last_visit, device_transactions.deviceCategory AS device_transaction, - IFNULL(transactions.transaction,0) AS transaction -FROM visit LEFT JOIN transactions ON visit.fullvisitorid = transactions.fullvisitorid -LEFT JOIN device_visit ON visit.fullvisitorid = device_visit.fullvisitorid -AND visit.date_last_visit = device_visit.date - -LEFT JOIN device_transactions ON visit.fullvisitorid = device_transactions.fullvisitorid -AND transactions.date_transactions = device_transactions.date ), - -mortality_table AS ( -SELECT fullvisitorid, date_first_visit, - CASE WHEN date_transactions IS NULL THEN date_last_visit ELSE date_transactions END AS date_event, - CASE WHEN device_transaction IS NULL THEN device_last_visit ELSE device_transaction END AS device, transaction -FROM visits_transactions ) - -SELECT DATE_DIFF(PARSE_DATE('%Y%m%d',date_event), PARSE_DATE('%Y%m%d', date_first_visit),DAY) AS time +WITH visit AS + (SELECT fullvisitorid, + MIN(date) AS date_first_visit, + MAX(date) AS date_last_visit + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` + GROUP BY fullvisitorid), + device_visit AS + (SELECT DISTINCT fullvisitorid, date, device.deviceCategory + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*`), + transactions AS + (SELECT fullvisitorid, + MIN(date) AS date_transactions, + 1 AS TRANSACTION + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, + UNNEST(ga.hits) AS hits + WHERE hits.transaction.transactionId IS NOT NULL + GROUP BY fullvisitorid), + device_transactions AS + (SELECT DISTINCT fullvisitorid, date, device.deviceCategory + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, + UNNEST(ga.hits) AS hits + WHERE hits.transaction.transactionId IS NOT NULL), + visits_transactions AS + (SELECT visit.fullvisitorid, + date_first_visit, + date_transactions, + date_last_visit, + device_visit.deviceCategory AS device_last_visit, + device_transactions.deviceCategory AS device_transaction, + IFNULL(transactions.transaction, 0) AS TRANSACTION + FROM visit + LEFT JOIN transactions ON visit.fullvisitorid = transactions.fullvisitorid + LEFT JOIN device_visit ON visit.fullvisitorid = device_visit.fullvisitorid + AND visit.date_last_visit = device_visit.date + LEFT JOIN device_transactions ON visit.fullvisitorid = device_transactions.fullvisitorid + AND transactions.date_transactions = device_transactions.date), + mortality_table AS + (SELECT fullvisitorid, + date_first_visit, + CASE + WHEN date_transactions IS NULL THEN date_last_visit + ELSE date_transactions + END AS date_event, + CASE + WHEN device_transaction IS NULL THEN device_last_visit + ELSE device_transaction + END AS device, + TRANSACTION + FROM visits_transactions) +SELECT DATE_DIFF(PARSE_DATE('%Y%m%d', date_event), PARSE_DATE('%Y%m%d', date_first_visit), DAY) AS TIME FROM mortality_table WHERE device = 'mobile' -ORDER BY DATE_DIFF(PARSE_DATE('%Y%m%d',date_event), PARSE_DATE('%Y%m%d', date_first_visit),DAY) DESC +ORDER BY DATE_DIFF(PARSE_DATE('%Y%m%d', date_event), PARSE_DATE('%Y%m%d', date_first_visit), DAY) DESC LIMIT 1 diff --git a/spider2/queries/lite_bq269.sql b/spider2/queries/lite_bq269.sql index 6ea0f10627a827ce79c44ecf9ce2a11e9dc33196..77f6e93d51209cfe41261bc3525d095ef6731b96 100644 --- a/spider2/queries/lite_bq269.sql +++ b/spider2/queries/lite_bq269.sql @@ -1,34 +1,31 @@ -WITH visitor_pageviews AS ( - SELECT - FORMAT_DATE('%Y%m', PARSE_DATE('%Y%m%d', date)) AS month, - CASE WHEN totals.transactions > 0 THEN 'purchase' ELSE 'non_purchase' END AS purchase_status, - fullVisitorId, - SUM(totals.pageviews) AS total_pageviews - FROM - `bigquery-public-data.google_analytics_sample.ga_sessions_*` - WHERE - _TABLE_SUFFIX BETWEEN '20170601' AND '20170731' - AND totals.pageviews IS NOT NULL - GROUP BY - month, purchase_status, fullVisitorId -), -avg_pageviews AS ( - SELECT - month, - purchase_status, - AVG(total_pageviews) AS avg_pageviews_per_visitor - FROM - visitor_pageviews - GROUP BY - month, purchase_status -) -SELECT - month, - MAX(CASE WHEN purchase_status = 'purchase' THEN avg_pageviews_per_visitor END) AS avg_pageviews_purchase, - MAX(CASE WHEN purchase_status = 'non_purchase' THEN avg_pageviews_per_visitor END) AS avg_pageviews_non_purchase -FROM - avg_pageviews -GROUP BY - month -ORDER BY - month +WITH visitor_pageviews AS + (SELECT FORMAT_DATE('%Y%m', PARSE_DATE('%Y%m%d', date)) AS MONTH, + CASE + WHEN totals.transactions > 0 THEN 'purchase' + ELSE 'non_purchase' + END AS purchase_status, + fullVisitorId, + SUM(totals.pageviews) AS total_pageviews + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` + WHERE _TABLE_SUFFIX BETWEEN '20170601' AND '20170731' + AND totals.pageviews IS NOT NULL + GROUP BY MONTH, + purchase_status, + fullVisitorId), + avg_pageviews AS + (SELECT MONTH, + purchase_status, + AVG(total_pageviews) AS avg_pageviews_per_visitor + FROM visitor_pageviews + GROUP BY MONTH, + purchase_status) +SELECT MONTH, + MAX(CASE + WHEN purchase_status = 'purchase' THEN avg_pageviews_per_visitor + END) AS avg_pageviews_purchase, + MAX(CASE + WHEN purchase_status = 'non_purchase' THEN avg_pageviews_per_visitor + END) AS avg_pageviews_non_purchase +FROM avg_pageviews +GROUP BY MONTH +ORDER BY MONTH diff --git a/spider2/queries/lite_bq270.sql b/spider2/queries/lite_bq270.sql index f04393acf779bdfeba965e6deda3932741650ac2..ddbc0f5761b91f8c13cc94a1bbe77cd3f79fcd46 100644 --- a/spider2/queries/lite_bq270.sql +++ b/spider2/queries/lite_bq270.sql @@ -1,42 +1,38 @@ -WITH - cte1 AS - (SELECT - CONCAT(EXTRACT(YEAR FROM (PARSE_DATE('%Y%m%d', date))),'0', - EXTRACT(MONTH FROM (PARSE_DATE('%Y%m%d', date)))) AS month, - COUNT(hits.eCommerceAction.action_type) AS num_product_view - FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, - UNNEST(hits) AS hits - WHERE _table_suffix BETWEEN '0101' AND '0331' - AND hits.eCommerceAction.action_type = '2' - GROUP BY month), - cte2 AS - (SELECT - CONCAT(EXTRACT(YEAR FROM (PARSE_DATE('%Y%m%d', date))),'0', - EXTRACT(MONTH FROM (PARSE_DATE('%Y%m%d', date)))) AS month, - COUNT(hits.eCommerceAction.action_type) AS num_addtocart - FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, - UNNEST(hits) AS hits - WHERE _table_suffix BETWEEN '0101' AND '0331' - AND hits.eCommerceAction.action_type = '3' - GROUP BY month), - cte3 AS - (SELECT - CONCAT(EXTRACT(YEAR FROM (PARSE_DATE('%Y%m%d', date))),'0', - EXTRACT(MONTH FROM (PARSE_DATE('%Y%m%d', date)))) AS month, - COUNT(hits.eCommerceAction.action_type) AS num_purchase - FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, - UNNEST(hits) AS hits, - UNNEST(hits.product) AS product - WHERE _table_suffix BETWEEN '0101' AND '0331' - AND hits.eCommerceAction.action_type = '6' - AND product.productRevenue IS NOT NULL - GROUP BY month) -SELECT - ROUND((num_addtocart/num_product_view * 100),2) AS add_to_cart_rate, - ROUND((num_purchase/num_product_view * 100),2) AS purchase_rate +WITH cte1 AS + (SELECT CONCAT(EXTRACT(YEAR + FROM (PARSE_DATE('%Y%m%d', date))), '0', EXTRACT(MONTH + FROM (PARSE_DATE('%Y%m%d', date)))) AS MONTH, + COUNT(hits.eCommerceAction.action_type) AS num_product_view + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, + UNNEST(hits) AS hits + WHERE _table_suffix BETWEEN '0101' AND '0331' + AND hits.eCommerceAction.action_type = '2' + GROUP BY MONTH), + cte2 AS + (SELECT CONCAT(EXTRACT(YEAR + FROM (PARSE_DATE('%Y%m%d', date))), '0', EXTRACT(MONTH + FROM (PARSE_DATE('%Y%m%d', date)))) AS MONTH, + COUNT(hits.eCommerceAction.action_type) AS num_addtocart + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, + UNNEST(hits) AS hits + WHERE _table_suffix BETWEEN '0101' AND '0331' + AND hits.eCommerceAction.action_type = '3' + GROUP BY MONTH), + cte3 AS + (SELECT CONCAT(EXTRACT(YEAR + FROM (PARSE_DATE('%Y%m%d', date))), '0', EXTRACT(MONTH + FROM (PARSE_DATE('%Y%m%d', date)))) AS MONTH, + COUNT(hits.eCommerceAction.action_type) AS num_purchase + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_2017*`, + UNNEST(hits) AS hits, + UNNEST(hits.product) AS product + WHERE _table_suffix BETWEEN '0101' AND '0331' + AND hits.eCommerceAction.action_type = '6' + AND product.productRevenue IS NOT NULL + GROUP BY MONTH) +SELECT ROUND((num_addtocart/num_product_view * 100),2) AS add_to_cart_rate, + ROUND((num_purchase/num_product_view * 100),2) AS purchase_rate FROM cte1 - LEFT JOIN cte2 - USING(month) - LEFT JOIN cte3 - USING(month) -ORDER BY month; +LEFT JOIN cte2 USING(MONTH) +LEFT JOIN cte3 USING(MONTH) +ORDER BY MONTH; diff --git a/spider2/queries/lite_bq275.sql b/spider2/queries/lite_bq275.sql index a19a27b84e4b7d246744e9b5d481783eea7b9c2a..4e2822a480224d1cb079c9ac45e51907aeae1e19 100644 --- a/spider2/queries/lite_bq275.sql +++ b/spider2/queries/lite_bq275.sql @@ -1,34 +1,31 @@ -WITH - visit AS ( - SELECT fullvisitorid, MIN(date) AS date_first_visit - FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` - GROUP BY fullvisitorid - ), - - transactions AS ( - SELECT fullvisitorid, MIN(date) AS date_transactions, 1 AS transaction - FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, - UNNEST(ga.hits) AS hits - WHERE hits.transaction.transactionId IS NOT NULL - GROUP BY fullvisitorid - ), - - device_transactions AS ( - SELECT DISTINCT fullvisitorid, date, device.deviceCategory AS device_transaction - FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, - UNNEST(ga.hits) AS hits - WHERE hits.transaction.transactionId IS NOT NULL - ), - - visits_transactions AS ( - SELECT visit.fullvisitorid, date_first_visit, date_transactions, device_transaction - FROM visit - LEFT JOIN transactions ON visit.fullvisitorid = transactions.fullvisitorid - LEFT JOIN device_transactions ON visit.fullvisitorid = device_transactions.fullvisitorid - AND transactions.date_transactions = device_transactions.date - ) - -SELECT fullvisitorid +WITH visit AS + (SELECT fullvisitorid, + MIN(date) AS date_first_visit + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` + GROUP BY fullvisitorid), + transactions AS + (SELECT fullvisitorid, + MIN(date) AS date_transactions, + 1 AS TRANSACTION + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, + UNNEST(ga.hits) AS hits + WHERE hits.transaction.transactionId IS NOT NULL + GROUP BY fullvisitorid), + device_transactions AS + (SELECT DISTINCT fullvisitorid, date, device.deviceCategory AS device_transaction + FROM `bigquery-public-data.google_analytics_sample.ga_sessions_*` AS ga, + UNNEST(ga.hits) AS hits + WHERE hits.transaction.transactionId IS NOT NULL), + visits_transactions AS + (SELECT visit.fullvisitorid, + date_first_visit, + date_transactions, + device_transaction + FROM visit + LEFT JOIN transactions ON visit.fullvisitorid = transactions.fullvisitorid + LEFT JOIN device_transactions ON visit.fullvisitorid = device_transactions.fullvisitorid + AND transactions.date_transactions = device_transactions.date) +SELECT fullvisitorid FROM visits_transactions WHERE DATE_DIFF(PARSE_DATE('%Y%m%d', date_transactions), PARSE_DATE('%Y%m%d', date_first_visit), DAY) > 0 -AND device_transaction = "mobile"; + AND device_transaction = "mobile"; diff --git a/spider2/queries/lite_bq279.sql b/spider2/queries/lite_bq279.sql index c88ab863611be098ad2b6166ac290be99db79caa..f7e4ad4b4169bb8dd93838f1bd3a65fe95e80070 100644 --- a/spider2/queries/lite_bq279.sql +++ b/spider2/queries/lite_bq279.sql @@ -1,75 +1,42 @@ -SELECT - t.year, - CASE - WHEN t.year = 2013 THEN ( - SELECT - COUNT(DISTINCT station_id) - FROM - `bigquery-public-data.austin_bikeshare.bikeshare_trips` t - INNER JOIN - `bigquery-public-data.austin_bikeshare.bikeshare_stations` s - ON - t.start_station_id = s.station_id - WHERE - s.status = 'active' AND EXTRACT(YEAR FROM start_time) = 2013 - ) - WHEN t.year = 2014 THEN ( - SELECT - COUNT(DISTINCT station_id) - FROM - `bigquery-public-data.austin_bikeshare.bikeshare_trips` t - INNER JOIN - `bigquery-public-data.austin_bikeshare.bikeshare_stations` s - ON - t.start_station_id = s.station_id - WHERE - s.status = 'active' AND EXTRACT(YEAR FROM start_time) = 2014 - ) - END - AS number_status_active, - CASE - WHEN t.year = 2013 THEN ( - SELECT - COUNT(DISTINCT station_id) - FROM - `bigquery-public-data.austin_bikeshare.bikeshare_trips` t - INNER JOIN - `bigquery-public-data.austin_bikeshare.bikeshare_stations` s - ON - t.start_station_id = s.station_id - WHERE - s.status = 'closed' AND EXTRACT(YEAR FROM start_time) = 2013 - ) - WHEN t.year = 2014 THEN ( - SELECT - COUNT(DISTINCT station_id) - FROM - `bigquery-public-data.austin_bikeshare.bikeshare_trips` t - INNER JOIN - `bigquery-public-data.austin_bikeshare.bikeshare_stations` s - ON - t.start_station_id = s.station_id - WHERE - s.status = 'closed' AND EXTRACT(YEAR FROM start_time) = 2014 - ) - END - AS number_status_closed +SELECT t.year, + CASE + WHEN t.year = 2013 THEN + (SELECT COUNT(DISTINCT station_id) + FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` t + INNER JOIN `bigquery-public-data.austin_bikeshare.bikeshare_stations` s ON t.start_station_id = s.station_id + WHERE s.status = 'active' + AND EXTRACT(YEAR + FROM start_time) = 2013) + WHEN t.year = 2014 THEN + (SELECT COUNT(DISTINCT station_id) + FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` t + INNER JOIN `bigquery-public-data.austin_bikeshare.bikeshare_stations` s ON t.start_station_id = s.station_id + WHERE s.status = 'active' + AND EXTRACT(YEAR + FROM start_time) = 2014) + END AS number_status_active, + CASE + WHEN t.year = 2013 THEN + (SELECT COUNT(DISTINCT station_id) + FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` t + INNER JOIN `bigquery-public-data.austin_bikeshare.bikeshare_stations` s ON t.start_station_id = s.station_id + WHERE s.status = 'closed' + AND EXTRACT(YEAR + FROM start_time) = 2013) + WHEN t.year = 2014 THEN + (SELECT COUNT(DISTINCT station_id) + FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` t + INNER JOIN `bigquery-public-data.austin_bikeshare.bikeshare_stations` s ON t.start_station_id = s.station_id + WHERE s.status = 'closed' + AND EXTRACT(YEAR + FROM start_time) = 2014) + END AS number_status_closed FROM - ( - SELECT - EXTRACT(YEAR FROM start_time) AS year, - start_station_id - FROM - `bigquery-public-data.austin_bikeshare.bikeshare_trips` - ) - AS t -INNER JOIN - `bigquery-public-data.austin_bikeshare.bikeshare_stations` s -ON - t.start_station_id = s.station_id -WHERE - t.year BETWEEN 2013 AND 2014 -GROUP BY - t.year -ORDER BY - t.year + (SELECT EXTRACT(YEAR + FROM start_time) AS YEAR, + start_station_id + FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips`) AS t +INNER JOIN `bigquery-public-data.austin_bikeshare.bikeshare_stations` s ON t.start_station_id = s.station_id +WHERE t.year BETWEEN 2013 AND 2014 +GROUP BY t.year +ORDER BY t.year diff --git a/spider2/queries/lite_bq280.sql b/spider2/queries/lite_bq280.sql index da75160c546ec6bc2931346a1b51681d713be085..b45763fea13e3c9d137baf18b4bca8cc53ca4143 100644 --- a/spider2/queries/lite_bq280.sql +++ b/spider2/queries/lite_bq280.sql @@ -1,29 +1,24 @@ -WITH UserAnswers AS ( - SELECT - owner_user_id AS answer_owner_id, - COUNT(id) AS answer_count - FROM bigquery-public-data.stackoverflow.posts_answers - WHERE owner_user_id IS NOT NULL - GROUP BY owner_user_id -), -DetailedUsers AS ( - SELECT - id AS user_id, - display_name AS user_display_name, - reputation - FROM bigquery-public-data.stackoverflow.users - WHERE display_name IS NOT NULL AND reputation > 10 -), -RankedUsers AS ( - SELECT - u.user_display_name, - u.reputation, - a.answer_count, - ROW_NUMBER() OVER (ORDER BY a.answer_count DESC) AS rank - FROM DetailedUsers u - JOIN UserAnswers a ON u.user_id = a.answer_owner_id -) -SELECT - user_display_name, +WITH UserAnswers AS + (SELECT owner_user_id AS answer_owner_id, + COUNT(id) AS answer_count + FROM bigquery-PUBLIC-data.stackoverflow.posts_answers + WHERE owner_user_id IS NOT NULL + GROUP BY owner_user_id), + DetailedUsers AS + (SELECT id AS user_id, + display_name AS user_display_name, + reputation + FROM bigquery-PUBLIC-data.stackoverflow.users + WHERE display_name IS NOT NULL + AND reputation > 10), + RankedUsers AS + (SELECT u.user_display_name, + u.reputation, + a.answer_count, + ROW_NUMBER() OVER ( + ORDER BY a.answer_count DESC) AS rank + FROM DetailedUsers u + JOIN UserAnswers a ON u.user_id = a.answer_owner_id) +SELECT user_display_name, FROM RankedUsers WHERE rank = 1; diff --git a/spider2/queries/lite_bq281.sql b/spider2/queries/lite_bq281.sql index c4fc0e2061977c3fcc874a441a72ee30ef929bce..f3049d11bc1f73a9280d16107391968b86e5cab4 100644 --- a/spider2/queries/lite_bq281.sql +++ b/spider2/queries/lite_bq281.sql @@ -1,22 +1,17 @@ -SELECT - COUNT(1) AS num_rides -FROM - `bigquery-public-data.austin_bikeshare.bikeshare_trips` -WHERE -start_station_name - NOT IN ('Mobile Station', 'Repair Shop') -AND -end_station_name - NOT IN ('Mobile Station', 'Repair Shop') -AND -subscriber_type = 'Student Membership' -AND -bike_type = 'electric' -AND -duration_minutes > 10 -GROUP BY - EXTRACT(YEAR from start_time), - EXTRACT(MONTH from start_time), - EXTRACT(DAY from start_time) +SELECT COUNT(1) AS num_rides +FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` +WHERE start_station_name NOT IN ('Mobile Station', + 'Repair Shop') + AND end_station_name NOT IN ('Mobile Station', + 'Repair Shop') + AND subscriber_type = 'Student Membership' + AND bike_type = 'electric' + AND duration_minutes > 10 +GROUP BY EXTRACT(YEAR + FROM start_time), + EXTRACT(MONTH + FROM start_time), + EXTRACT(DAY + FROM start_time) ORDER BY num_rides DESC LIMIT 1 diff --git a/spider2/queries/lite_bq282.sql b/spider2/queries/lite_bq282.sql index 5c2fa25ee16ace1297823c97049fdb052b5bd1da..6e3ef58bf20f6c08d07ed1342198015142b639f4 100644 --- a/spider2/queries/lite_bq282.sql +++ b/spider2/queries/lite_bq282.sql @@ -1,31 +1,20 @@ -SELECT - district -FROM ( - SELECT - S.starting_district AS district, - T.start_station_id, - T.end_station_id - FROM - `bigquery-public-data.austin_bikeshare.bikeshare_trips` AS T - INNER JOIN ( - SELECT - station_id, - council_district AS starting_district - FROM - `bigquery-public-data.austin_bikeshare.bikeshare_stations` - WHERE - status = "active" - ) AS S ON T.start_station_id = S.station_id - WHERE - S.starting_district IN ( - SELECT council_district +SELECT district +FROM + (SELECT S.starting_district AS district, + T.start_station_id, + T.end_station_id + FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` AS T + INNER JOIN + (SELECT station_id, + council_district AS starting_district FROM `bigquery-public-data.austin_bikeshare.bikeshare_stations` - WHERE - status = "active" AND - station_id = SAFE_CAST(T.end_station_id AS INT64) - ) - AND T.start_station_id != SAFE_CAST(T.end_station_id AS INT64) -) + WHERE status = "active") AS S ON T.start_station_id = S.station_id + WHERE S.starting_district IN + (SELECT council_district + FROM `bigquery-public-data.austin_bikeshare.bikeshare_stations` + WHERE status = "active" + AND station_id = SAFE_CAST(T.end_station_id AS INT64)) + AND T.start_station_id != SAFE_CAST(T.end_station_id AS INT64)) GROUP BY district ORDER BY COUNT(*) DESC LIMIT 1; diff --git a/spider2/queries/lite_bq284.sql b/spider2/queries/lite_bq284.sql index f1192b9e90af25281e9e39d3903b7689bdd02087..1819286cceb75b96ac3af58a8a11ae9156b17a5f 100644 --- a/spider2/queries/lite_bq284.sql +++ b/spider2/queries/lite_bq284.sql @@ -1,43 +1,46 @@ -SELECT - category, - COUNT(*) AS number_total_by_category, - CASE - WHEN category = 'tech' THEN - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE (LOWER(body) LIKE '%education%') AND category = 'tech') * 100 / - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE category = 'tech') - WHEN category = 'sport' THEN - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE (LOWER(body) LIKE '%education%') AND category = 'sport') * 100 / - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE category = 'sport') - WHEN category = 'business' THEN - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE (LOWER(body) LIKE '%education%') AND category = 'business') * 100 / - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE category = 'business') - WHEN category = 'politics' THEN - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE (LOWER(body) LIKE '%education%') AND category = 'politics') * 100 / - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE category = 'politics') - WHEN category = 'entertainment' THEN - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE (LOWER(body) LIKE '%education%') AND category = 'entertainment') * 100 / - (SELECT count(*) - FROM `bigquery-public-data.bbc_news.fulltext` - WHERE category = 'entertainment') - END AS percent_education +SELECT category, + COUNT(*) AS number_total_by_category, + CASE + WHEN category = 'tech' THEN + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE (LOWER(BODY) LIKE '%education%') + AND category = 'tech') * 100 / + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE category = 'tech') + WHEN category = 'sport' THEN + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE (LOWER(BODY) LIKE '%education%') + AND category = 'sport') * 100 / + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE category = 'sport') + WHEN category = 'business' THEN + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE (LOWER(BODY) LIKE '%education%') + AND category = 'business') * 100 / + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE category = 'business') + WHEN category = 'politics' THEN + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE (LOWER(BODY) LIKE '%education%') + AND category = 'politics') * 100 / + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE category = 'politics') + WHEN category = 'entertainment' THEN + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE (LOWER(BODY) LIKE '%education%') + AND category = 'entertainment') * 100 / + (SELECT count(*) + FROM `bigquery-public-data.bbc_news.fulltext` + WHERE category = 'entertainment') + END AS percent_education FROM `bigquery-public-data.bbc_news.fulltext` -GROUP BY - category; +GROUP BY category; diff --git a/spider2/queries/lite_bq285.sql b/spider2/queries/lite_bq285.sql index e88261018a87330aba5ed5769904163fabd1318d..3b2ca2088327d3ebddc6d13a6bd199b59cbb8a9a 100644 --- a/spider2/queries/lite_bq285.sql +++ b/spider2/queries/lite_bq285.sql @@ -1,50 +1,24 @@ -with _fips AS - ( - SELECT - state_fips_code - FROM - `bigquery-public-data.census_utility.fips_codes_states` - WHERE - state_name = "Florida" - ) - - ,_zip AS - ( - SELECT - z.zip_code, - z.zip_code_geom, - FROM - `bigquery-public-data.geo_us_boundaries.zip_codes` z, _fips u - WHERE - z.state_fips_code = u.state_fips_code - ) - - ,locations AS - ( - SELECT - COUNT(i.institution_name) AS count_locations, - l.zip_code - FROM - `bigquery-public-data.fdic_banks.institutions` i - JOIN - `bigquery-public-data.fdic_banks.locations` l - USING (fdic_certificate_number) - WHERE - l.state IS NOT NULL - AND - l.state_name IS NOT NULL - GROUP BY 2 - ) - - SELECT - z.zip_code - FROM - _zip z - JOIN - locations l - USING (zip_code) - GROUP BY - z.zip_code - ORDER BY - SUM(l.count_locations) DESC - LIMIT 1; +WITH _fips AS + (SELECT state_fips_code + FROM `bigquery-public-data.census_utility.fips_codes_states` + WHERE state_name = "Florida") , + _zip AS + (SELECT z.zip_code, + z.zip_code_geom, + FROM `bigquery-public-data.geo_us_boundaries.zip_codes` z, + _fips u + WHERE z.state_fips_code = u.state_fips_code) , + locations AS + (SELECT COUNT(i.institution_name) AS count_locations, + l.zip_code + FROM `bigquery-public-data.fdic_banks.institutions` i + JOIN `bigquery-public-data.fdic_banks.locations` l USING (fdic_certificate_number) + WHERE l.state IS NOT NULL + AND l.state_name IS NOT NULL + GROUP BY 2) +SELECT z.zip_code +FROM _zip z +JOIN locations l USING (zip_code) +GROUP BY z.zip_code +ORDER BY SUM(l.count_locations) DESC +LIMIT 1; diff --git a/spider2/queries/lite_bq286.sql b/spider2/queries/lite_bq286.sql index 970d913ac7c18525227687098359914cb827f8cf..24220bc693705f5bad9d81905fda75404faa2266 100644 --- a/spider2/queries/lite_bq286.sql +++ b/spider2/queries/lite_bq286.sql @@ -1,26 +1,18 @@ -SELECT - a.name AS name -FROM - `bigquery-public-data.usa_names.usa_1910_current` a -JOIN ( - SELECT - name, - gender, - year, - SUM(number) AS total_number - FROM - `bigquery-public-data.usa_names.usa_1910_current` - GROUP BY - name, - gender, - year) b -ON - a.name = b.name - AND a.gender = b.gender - AND a.year = b.year -WHERE - a.gender = 'F' AND - a.state = 'WY' AND - a.year = 2021 +SELECT a.name AS name +FROM `bigquery-public-data.usa_names.usa_1910_current` a +JOIN + (SELECT name, + gender, + YEAR, + SUM(number) AS total_number + FROM `bigquery-public-data.usa_names.usa_1910_current` + GROUP BY name, + gender, + YEAR) b ON a.name = b.name +AND a.gender = b.gender +AND a.year = b.year +WHERE a.gender = 'F' + AND a.state = 'WY' + AND a.year = 2021 ORDER BY (a.number / b.total_number) DESC LIMIT 1 diff --git a/spider2/queries/lite_bq290.sql b/spider2/queries/lite_bq290.sql index 54d5060fe1f38e2881e93111ffe0adc2166f5aa8..9c8cfb18040ade7fe98a0bbbd0f8785ee4351139 100644 --- a/spider2/queries/lite_bq290.sql +++ b/spider2/queries/lite_bq290.sql @@ -1,84 +1,45 @@ -with - -stations_selected as ( - select - usaf, - wban, - country, - name - from - `bigquery-public-data.noaa_gsod.stations` - where - country in ('US', 'UK') -), - -data_filtered as ( - select - gsod.*, - stations.country - from - `bigquery-public-data.noaa_gsod.gsod2023` gsod - join - stations_selected stations - on - gsod.stn = stations.usaf - and gsod.wban = stations.wban - where - date(gsod.date) between '2023-10-01' and '2023-10-31' - and gsod.temp != 9999.9 -), - --- US Metrics -us_metrics as ( - select - date(date) as metric_date, - avg(temp) as avg_temp_us, - min(temp) as min_temp_us, - max(temp) as max_temp_us - from - data_filtered - where - country = 'US' - group by - metric_date -), - --- UK Metrics -uk_metrics as ( - select - date(date) as metric_date, - avg(temp) as avg_temp_uk, - min(temp) as min_temp_uk, - max(temp) as max_temp_uk - from - data_filtered - where - country = 'UK' - group by - metric_date -), - --- Temperature Differences -temp_differences as ( - select - us.metric_date, - us.max_temp_us - uk.max_temp_uk as max_temp_diff, - us.min_temp_us - uk.min_temp_uk as min_temp_diff, - us.avg_temp_us - uk.avg_temp_uk as avg_temp_diff - from - us_metrics us - join - uk_metrics uk - on - us.metric_date = uk.metric_date -) - -select - metric_date, - max_temp_diff, - min_temp_diff, - avg_temp_diff -from - temp_differences -order by - metric_date; +WITH stations_selected AS + (SELECT usaf, + wban, + country, + name + FROM `bigquery-public-data.noaa_gsod.stations` + WHERE country IN ('US', + 'UK')), + data_filtered AS + (SELECT gsod.*, + stations.country + FROM `bigquery-public-data.noaa_gsod.gsod2023` gsod + JOIN stations_selected stations ON gsod.stn = stations.usaf + AND gsod.wban = stations.wban + WHERE date(gsod.date) BETWEEN '2023-10-01' AND '2023-10-31' + AND gsod.temp != 9999.9), -- US Metrics +us_metrics AS + (SELECT date(date) AS metric_date, + avg(TEMP) AS avg_temp_us, + min(TEMP) AS min_temp_us, + max(TEMP) AS max_temp_us + FROM data_filtered + WHERE country = 'US' + GROUP BY metric_date), -- UK Metrics +uk_metrics AS + (SELECT date(date) AS metric_date, + avg(TEMP) AS avg_temp_uk, + min(TEMP) AS min_temp_uk, + max(TEMP) AS max_temp_uk + FROM data_filtered + WHERE country = 'UK' + GROUP BY metric_date), -- Temperature Differences +temp_differences AS + (SELECT us.metric_date, + us.max_temp_us - uk.max_temp_uk AS max_temp_diff, + us.min_temp_us - uk.min_temp_uk AS min_temp_diff, + us.avg_temp_us - uk.avg_temp_uk AS avg_temp_diff + FROM us_metrics us + JOIN uk_metrics uk ON us.metric_date = uk.metric_date) +SELECT metric_date, + max_temp_diff, + min_temp_diff, + avg_temp_diff +FROM temp_differences +ORDER BY metric_date; diff --git a/spider2/queries/lite_bq300.sql b/spider2/queries/lite_bq300.sql index f7a4a4118effb9ed7e76f555d8f3e29324022c81..0ba857d074b9e81268d699d72e74ffe961a92452 100644 --- a/spider2/queries/lite_bq300.sql +++ b/spider2/queries/lite_bq300.sql @@ -1,37 +1,22 @@ -WITH - python2_questions AS ( - SELECT - q.id AS question_id, - q.title, - q.body AS question_body, - q.tags - FROM - `bigquery-public-data.stackoverflow.posts_questions` q - WHERE - (LOWER(q.tags) LIKE '%python-2%' - OR LOWER(q.tags) LIKE '%python-2.x%' - OR ( - LOWER(q.title) LIKE '%python 2%' - OR LOWER(q.body) LIKE '%python 2%' - OR LOWER(q.title) LIKE '%python2%' - OR LOWER(q.body) LIKE '%python2%' - )) - AND ( - LOWER(q.title) NOT LIKE '%python 3%' - AND LOWER(q.body) NOT LIKE '%python 3%' - AND LOWER(q.title) NOT LIKE '%python3%' - AND LOWER(q.body) NOT LIKE '%python3%' - ) - ) - -SELECT - COUNT(*) AS count_number -FROM - python2_questions q -LEFT JOIN - `bigquery-public-data.stackoverflow.posts_answers` a -ON - q.question_id = a.parent_id +WITH python2_questions AS + (SELECT q.id AS question_id, + q.title, + q.body AS question_body, + q.tags + FROM `bigquery-public-data.stackoverflow.posts_questions` q + WHERE (LOWER(q.tags) LIKE '%python-2%' + OR LOWER(q.tags) LIKE '%python-2.x%' + OR (LOWER(q.title) LIKE '%python 2%' + OR LOWER(q.body) LIKE '%python 2%' + OR LOWER(q.title) LIKE '%python2%' + OR LOWER(q.body) LIKE '%python2%')) + AND (LOWER(q.title) NOT LIKE '%python 3%' + AND LOWER(q.body) NOT LIKE '%python 3%' + AND LOWER(q.title) NOT LIKE '%python3%' + AND LOWER(q.body) NOT LIKE '%python3%')) +SELECT COUNT(*) AS count_number +FROM python2_questions q +LEFT JOIN `bigquery-public-data.stackoverflow.posts_answers` a ON q.question_id = a.parent_id GROUP BY q.question_id ORDER BY count_number DESC LIMIT 1 diff --git a/spider2/queries/lite_bq301.sql b/spider2/queries/lite_bq301.sql index 8b0ae2f7662a40840e016b2e477d632b1229fa52..9bb920ee0f505681505b6fee0c5211365b32875b 100644 --- a/spider2/queries/lite_bq301.sql +++ b/spider2/queries/lite_bq301.sql @@ -1,30 +1,26 @@ -SELECT - answer.id AS a_id, - (SELECT users.reputation FROM `bigquery-public-data.stackoverflow.users` users - WHERE users.id = answer.owner_user_id) AS a_user_reputation, - answer.score AS a_score, - answer.comment_count AS answer_comment_count, - questions.tags as q_tags, - questions.score AS q_score, - questions.answer_count AS answer_count, - (SELECT users.reputation FROM `bigquery-public-data.stackoverflow.users` users - WHERE users.id = questions.owner_user_id) AS q_user_reputation, - questions.view_count AS q_view_count, - questions.comment_count AS q_comment_count -FROM - `bigquery-public-data.stackoverflow.posts_answers` AS answer -LEFT JOIN - `bigquery-public-data.stackoverflow.posts_questions` AS questions - ON answer.parent_id = questions.id -WHERE - answer.id = questions.accepted_answer_id - AND - ( - questions.tags LIKE '%javascript%' AND - (questions.tags LIKE '%xss%' OR - questions.tags LIKE '%cross-site%' OR - questions.tags LIKE '%exploit%' OR - questions.tags LIKE '%cybersecurity%') - ) - AND DATE(questions.creation_date) BETWEEN '2016-01-01' AND '2016-01-31' - AND DATE(answer.creation_date) BETWEEN '2016-01-01' AND '2016-01-31' +SELECT answer.id AS a_id, + + (SELECT users.reputation + FROM `bigquery-public-data.stackoverflow.users` users + WHERE users.id = answer.owner_user_id) AS a_user_reputation, + answer.score AS a_score, + answer.comment_count AS answer_comment_count, + questions.tags AS q_tags, + questions.score AS q_score, + questions.answer_count AS answer_count, + + (SELECT users.reputation + FROM `bigquery-public-data.stackoverflow.users` users + WHERE users.id = questions.owner_user_id) AS q_user_reputation, + questions.view_count AS q_view_count, + questions.comment_count AS q_comment_count +FROM `bigquery-public-data.stackoverflow.posts_answers` AS answer +LEFT JOIN `bigquery-public-data.stackoverflow.posts_questions` AS questions ON answer.parent_id = questions.id +WHERE answer.id = questions.accepted_answer_id + AND (questions.tags LIKE '%javascript%' + AND (questions.tags LIKE '%xss%' + OR questions.tags LIKE '%cross-site%' + OR questions.tags LIKE '%exploit%' + OR questions.tags LIKE '%cybersecurity%')) + AND DATE(questions.creation_date) BETWEEN '2016-01-01' AND '2016-01-31' + AND DATE(answer.creation_date) BETWEEN '2016-01-01' AND '2016-01-31' diff --git a/spider2/queries/lite_bq302.sql b/spider2/queries/lite_bq302.sql index dd3a70b651fb896e602846f13bfca4b5cf995d7c..b35967ec29c0aa3fefee90df07ab1a1a30db3894 100644 --- a/spider2/queries/lite_bq302.sql +++ b/spider2/queries/lite_bq302.sql @@ -1,47 +1,27 @@ -WITH --- Get recent data -RecentData AS ( - SELECT - FORMAT_TIMESTAMP('%Y%m', creation_date) AS month_index, - tags - FROM - `bigquery-public-data.stackoverflow.posts_questions` - WHERE - EXTRACT(YEAR FROM DATE(creation_date)) = 2022 -), - --- Monthly number of questions posted -MonthlyQuestions AS ( - SELECT - month_index, - COUNT(*) AS num_questions - FROM - RecentData - GROUP BY - month_index -), - --- Monthly number of questions posted with specific tags -TaggedQuestions AS ( - SELECT - month_index, - tag, - COUNT(*) AS num_tags - FROM - RecentData, +WITH -- Get recent data +RecentData AS + (SELECT FORMAT_TIMESTAMP('%Y%m', creation_date) AS month_index, + tags + FROM `bigquery-public-data.stackoverflow.posts_questions` + WHERE EXTRACT(YEAR + FROM DATE(creation_date)) = 2022), -- Monthly number of questions posted +MonthlyQuestions AS + (SELECT month_index, + COUNT(*) AS num_questions + FROM RecentData + GROUP BY month_index), -- Monthly number of questions posted with specific tags +TaggedQuestions AS + (SELECT month_index, + tag, + COUNT(*) AS num_tags + FROM RecentData, UNNEST(SPLIT(tags, '|')) AS tag - WHERE - tag IN ('python') - GROUP BY - month_index, tag -) - -SELECT - a.month_index, - a.num_tags / b.num_questions AS proportion -FROM - TaggedQuestions a -LEFT JOIN - MonthlyQuestions b ON a.month_index = b.month_index -ORDER BY - a.month_index, proportion DESC; + WHERE tag IN ('python') + GROUP BY month_index, + tag) +SELECT a.month_index, + a.num_tags / b.num_questions AS proportion +FROM TaggedQuestions a +LEFT JOIN MonthlyQuestions b ON a.month_index = b.month_index +ORDER BY a.month_index, + proportion DESC; diff --git a/spider2/queries/lite_bq303.sql b/spider2/queries/lite_bq303.sql index 4df864f57a88ece1f46c5c57c3df5cc32376a27a..ec81f53545f41730024170491f9e9484ad180203 100644 --- a/spider2/queries/lite_bq303.sql +++ b/spider2/queries/lite_bq303.sql @@ -1,37 +1,48 @@ -SELECT u_id, tags -FROM ( - -- select comments with tags from the post - SELECT cm.u_id, cm.creation_date, cm.text, pq.tags, "comment" as type - FROM ( - SELECT a.parent_id as q_id, c.user_id as u_id, c.creation_date as creation_date, c.text as text - FROM `bigquery-public-data.stackoverflow.comments` as c - INNER JOIN `bigquery-public-data.stackoverflow.posts_answers` as a ON (a.id = c.post_id) - WHERE c.user_id BETWEEN 16712208 AND 18712208 - AND DATE(c.creation_date) BETWEEN '2019-07-01' AND '2019-12-31' - - UNION ALL - - SELECT q.id as q_id, c.user_id as u_id, c.creation_date as creation_date, c.text as text - FROM `bigquery-public-data.stackoverflow.comments` as c - INNER JOIN `bigquery-public-data.stackoverflow.posts_questions` as q ON (q.id = c.post_id) - WHERE c.user_id BETWEEN 16712208 AND 18712208 - AND DATE(c.creation_date) BETWEEN '2019-07-01' AND '2019-12-31' - ) as cm - INNER JOIN `bigquery-public-data.stackoverflow.posts_questions` as pq ON (pq.id = cm.q_id) - - UNION ALL - -- select answers with tags related to the post - SELECT pa.owner_user_id as u_id, pa.creation_date as creation_date, pa.body as text, pq.tags as tags, "answer" as type - FROM `bigquery-public-data.stackoverflow.posts_answers` as pa - LEFT OUTER JOIN `bigquery-public-data.stackoverflow.posts_questions` as pq ON pq.id = pa.parent_id - WHERE pa.owner_user_id BETWEEN 16712208 AND 18712208 - AND DATE(pa.creation_date) BETWEEN '2019-07-01' AND '2019-12-31' - - UNION ALL - -- select posts - SELECT pq.owner_user_id as u_id, pq.creation_date as creation_date, pq.body as text, pq.tags as tags, "question" as type - FROM `bigquery-public-data.stackoverflow.posts_questions` as pq - WHERE pq.owner_user_id BETWEEN 16712208 AND 18712208 - AND DATE(pq.creation_date) BETWEEN '2019-07-01' AND '2019-12-31' -) -ORDER BY u_id, creation_date; +SELECT u_id, + tags +FROM + (-- select comments with tags from the post + SELECT cm.u_id, + cm.creation_date, + cm.text, + pq.tags, + "comment" AS TYPE + FROM + (SELECT a.parent_id AS q_id, + c.user_id AS u_id, + c.creation_date AS creation_date, + c.text AS text + FROM `bigquery-public-data.stackoverflow.comments` AS c + INNER JOIN `bigquery-public-data.stackoverflow.posts_answers` AS a ON (a.id = c.post_id) + WHERE c.user_id BETWEEN 16712208 AND 18712208 + AND DATE(c.creation_date) BETWEEN '2019-07-01' AND '2019-12-31' + UNION ALL SELECT q.id AS q_id, + c.user_id AS u_id, + c.creation_date AS creation_date, + c.text AS text + FROM `bigquery-public-data.stackoverflow.comments` AS c + INNER JOIN `bigquery-public-data.stackoverflow.posts_questions` AS q ON (q.id = c.post_id) + WHERE c.user_id BETWEEN 16712208 AND 18712208 + AND DATE(c.creation_date) BETWEEN '2019-07-01' AND '2019-12-31') AS cm + INNER JOIN `bigquery-public-data.stackoverflow.posts_questions` AS pq ON (pq.id = cm.q_id) + UNION ALL -- select answers with tags related to the post + SELECT pa.owner_user_id AS u_id, + pa.creation_date AS creation_date, + pa.body AS text, + pq.tags AS tags, + "answer" AS TYPE + FROM `bigquery-public-data.stackoverflow.posts_answers` AS pa + LEFT OUTER JOIN `bigquery-public-data.stackoverflow.posts_questions` AS pq ON pq.id = pa.parent_id + WHERE pa.owner_user_id BETWEEN 16712208 AND 18712208 + AND DATE(pa.creation_date) BETWEEN '2019-07-01' AND '2019-12-31' + UNION ALL -- select posts + SELECT pq.owner_user_id AS u_id, + pq.creation_date AS creation_date, + pq.body AS text, + pq.tags AS tags, + "question" AS TYPE + FROM `bigquery-public-data.stackoverflow.posts_questions` AS pq + WHERE pq.owner_user_id BETWEEN 16712208 AND 18712208 + AND DATE(pq.creation_date) BETWEEN '2019-07-01' AND '2019-12-31') +ORDER BY u_id, + creation_date; diff --git a/spider2/queries/lite_bq304.sql b/spider2/queries/lite_bq304.sql index c1bfb90f3706635072bfbd1af9d7201455edf996..e784d58b994f43134a34ba4b8e1aa10e2a447c76 100644 --- a/spider2/queries/lite_bq304.sql +++ b/spider2/queries/lite_bq304.sql @@ -1,62 +1,66 @@ -WITH -tags_to_use AS ( - SELECT tag, idx - FROM UNNEST([ - 'android-layout', - 'android-activity', - 'android-intent', - 'android-edittext', - 'android-fragments', - 'android-recyclerview', - 'listview', - 'android-actionbar', - 'google-maps', +WITH tags_to_use AS + (SELECT tag, + idx + FROM UNNEST([ + 'android-layout', + 'android-activity', + 'android-intent', + 'android-edittext', + 'android-fragments', + 'android-recyclerview', + 'listview', + 'android-actionbar', + 'google-maps', 'android-asynctask' - ]) AS tag WITH OFFSET idx -), -android_how_to_questions AS ( - SELECT - PQ.* - FROM - bigquery-public-data.stackoverflow.posts_questions PQ - WHERE - EXISTS ( - SELECT 1 - FROM UNNEST(SPLIT(PQ.tags, '|')) tag - WHERE tag IN (SELECT tag FROM tags_to_use) - ) - AND (LOWER(PQ.title) LIKE '%how%' OR LOWER(PQ.body) LIKE '%how%') - AND NOT (LOWER(PQ.title) LIKE '%fail%' OR LOWER(PQ.title) LIKE '%problem%' OR LOWER(PQ.title) LIKE '%error%' - OR LOWER(PQ.title) LIKE '%wrong%' OR LOWER(PQ.title) LIKE '%fix%' OR LOWER(PQ.title) LIKE '%bug%' - OR LOWER(PQ.title) LIKE '%issue%' OR LOWER(PQ.title) LIKE '%solve%' OR LOWER(PQ.title) LIKE '%trouble%') - AND NOT (LOWER(PQ.body) LIKE '%fail%' OR LOWER(PQ.body) LIKE '%problem%' OR LOWER(PQ.body) LIKE '%error%' - OR LOWER(PQ.body) LIKE '%wrong%' OR LOWER(PQ.body) LIKE '%fix%' OR LOWER(PQ.body) LIKE '%bug%' - OR LOWER(PQ.body) LIKE '%issue%' OR LOWER(PQ.body) LIKE '%solve%' OR LOWER(PQ.body) LIKE '%trouble%') -), -questions_with_tag_rankings AS ( - SELECT - T.id AS tag_id, - TTU.idx AS tag_offset, - T.tag_name, - T.wiki_post_id AS tag_wiki_post_id, - Q.id AS question_id, - Q.title, - Q.tags, - Q.view_count, - RANK() OVER (PARTITION BY T.id ORDER BY Q.view_count DESC) AS question_view_count_rank, - COUNT(*) OVER (PARTITION BY T.id) AS total_valid_questions - FROM - bigquery-public-data.stackoverflow.tags T - INNER JOIN - tags_to_use TTU ON T.tag_name = TTU.tag - INNER JOIN - android_how_to_questions Q ON T.tag_name IN UNNEST(SPLIT(Q.tags, '|')) -) -SELECT - question_id -FROM - questions_with_tag_rankings -WHERE - question_view_count_rank <= 50 AND total_valid_questions >= 50 -ORDER BY - tag_offset ASC, question_view_count_rank ASC; + ]) AS tag WITH + OFFSET idx), + android_how_to_questions AS + (SELECT PQ.* + FROM bigquery-PUBLIC-data.stackoverflow.posts_questions PQ + WHERE EXISTS + (SELECT 1 + FROM UNNEST(SPLIT(PQ.tags, '|')) tag + WHERE tag IN + (SELECT tag + FROM tags_to_use)) + AND (LOWER(PQ.title) LIKE '%how%' + OR LOWER(PQ.body) LIKE '%how%') + AND NOT (LOWER(PQ.title) LIKE '%fail%' + OR LOWER(PQ.title) LIKE '%problem%' + OR LOWER(PQ.title) LIKE '%error%' + OR LOWER(PQ.title) LIKE '%wrong%' + OR LOWER(PQ.title) LIKE '%fix%' + OR LOWER(PQ.title) LIKE '%bug%' + OR LOWER(PQ.title) LIKE '%issue%' + OR LOWER(PQ.title) LIKE '%solve%' + OR LOWER(PQ.title) LIKE '%trouble%') + AND NOT (LOWER(PQ.body) LIKE '%fail%' + OR LOWER(PQ.body) LIKE '%problem%' + OR LOWER(PQ.body) LIKE '%error%' + OR LOWER(PQ.body) LIKE '%wrong%' + OR LOWER(PQ.body) LIKE '%fix%' + OR LOWER(PQ.body) LIKE '%bug%' + OR LOWER(PQ.body) LIKE '%issue%' + OR LOWER(PQ.body) LIKE '%solve%' + OR LOWER(PQ.body) LIKE '%trouble%')), + questions_with_tag_rankings AS + (SELECT T.id AS tag_id, + TTU.idx AS tag_offset, + T.tag_name, + T.wiki_post_id AS tag_wiki_post_id, + Q.id AS question_id, + Q.title, + Q.tags, + Q.view_count, + RANK() OVER (PARTITION BY T.id + ORDER BY Q.view_count DESC) AS question_view_count_rank, + COUNT(*) OVER (PARTITION BY T.id) AS total_valid_questions + FROM bigquery-PUBLIC-data.stackoverflow.tags T + INNER JOIN tags_to_use TTU ON T.tag_name = TTU.tag + INNER JOIN android_how_to_questions Q ON T.tag_name IN UNNEST(SPLIT(Q.tags, '|'))) +SELECT question_id +FROM questions_with_tag_rankings +WHERE question_view_count_rank <= 50 + AND total_valid_questions >= 50 +ORDER BY tag_offset ASC, + question_view_count_rank ASC; diff --git a/spider2/queries/lite_bq308.sql b/spider2/queries/lite_bq308.sql index 283896f73d16ed9a3f252b1d11d21769ffda4b06..ff7198622cbbbf55c8c95dff59ed83e2089ead77 100644 --- a/spider2/queries/lite_bq308.sql +++ b/spider2/queries/lite_bq308.sql @@ -1,25 +1,20 @@ -SELECT - Day_of_Week, - COUNT(1) AS Num_Questions, - SUM(answered_in_1h) AS Num_Answered_in_1H, - ROUND(100 * SUM(answered_in_1h) / COUNT(1),1) AS Percent_Answered_in_1H +SELECT Day_of_Week, + COUNT(1) AS Num_Questions, + SUM(answered_in_1h) AS Num_Answered_in_1H, + ROUND(100 * SUM(answered_in_1h) / COUNT(1), 1) AS Percent_Answered_in_1H FROM -( - SELECT - q.id AS question_id, - EXTRACT(DAYOFWEEK FROM q.creation_date) AS day_of_week, - MAX(IF(a.parent_id IS NOT NULL AND - (UNIX_SECONDS(a.creation_date)-UNIX_SECONDS(q.creation_date))/(60*60) <= 1, 1, 0)) AS answered_in_1h - FROM - `bigquery-public-data.stackoverflow.posts_questions` q - LEFT JOIN - `bigquery-public-data.stackoverflow.posts_answers` a - ON q.id = a.parent_id - WHERE EXTRACT(YEAR FROM a.creation_date) = 2020 - AND EXTRACT(YEAR FROM q.creation_date) = 2020 - GROUP BY question_id, day_of_week -) -GROUP BY - Day_of_Week -ORDER BY - Day_of_Week; + (SELECT q.id AS question_id, + EXTRACT(DAYOFWEEK + FROM q.creation_date) AS day_of_week, + MAX(IF(a.parent_id IS NOT NULL + AND (UNIX_SECONDS(a.creation_date)-UNIX_SECONDS(q.creation_date))/(60*60) <= 1, 1, 0)) AS answered_in_1h + FROM `bigquery-public-data.stackoverflow.posts_questions` q + LEFT JOIN `bigquery-public-data.stackoverflow.posts_answers` a ON q.id = a.parent_id + WHERE EXTRACT(YEAR + FROM a.creation_date) = 2020 + AND EXTRACT(YEAR + FROM q.creation_date) = 2020 + GROUP BY question_id, + day_of_week) +GROUP BY Day_of_Week +ORDER BY Day_of_Week; diff --git a/spider2/queries/lite_bq309.sql b/spider2/queries/lite_bq309.sql index cde14cfcce866ac1fa936b0542043f1c32a0e1e1..3bc8adce1a96820936a589d8826026d521007724 100644 --- a/spider2/queries/lite_bq309.sql +++ b/spider2/queries/lite_bq309.sql @@ -1,58 +1,28 @@ -WITH badge_counts AS ( - SELECT - c.id, - COUNT(DISTINCT d.id) AS badge_number - FROM - `bigquery-public-data.stackoverflow.users` AS c - JOIN - `bigquery-public-data.stackoverflow.badges` AS d - ON - c.id = d.user_id - GROUP BY - c.id -), -labeled_questions AS ( - SELECT - a.id, - IF( - a.id IN ( - SELECT DISTINCT b.id - FROM - `bigquery-public-data.stackoverflow.posts_answers` AS a - JOIN - `bigquery-public-data.stackoverflow.posts_questions` AS b - ON - a.parent_id = b.id - WHERE - b.accepted_answer_id IS NULL - AND a.score / b.view_count > 0.01 - ) OR accepted_answer_id IS NOT NULL, - 1, - 0 - ) AS label, - a.owner_user_id, - LENGTH(a.body) AS body_length - FROM - `bigquery-public-data.stackoverflow.posts_questions` AS a -) -SELECT - lq.id, - b.reputation, - b.up_votes - b.down_votes AS net_votes, - e.badge_number -FROM - labeled_questions AS lq -JOIN - `bigquery-public-data.stackoverflow.users` AS b -ON - lq.owner_user_id = b.id -JOIN - badge_counts AS e -ON - b.id = e.id -WHERE - lq.label = 1 -ORDER BY - lq.body_length DESC -LIMIT - 10; +WITH badge_counts AS + (SELECT c.id, + COUNT(DISTINCT d.id) AS badge_number + FROM `bigquery-public-data.stackoverflow.users` AS c + JOIN `bigquery-public-data.stackoverflow.badges` AS d ON c.id = d.user_id + GROUP BY c.id), + labeled_questions AS + (SELECT a.id, + IF(a.id IN + (SELECT DISTINCT b.id + FROM `bigquery-public-data.stackoverflow.posts_answers` AS a + JOIN `bigquery-public-data.stackoverflow.posts_questions` AS b ON a.parent_id = b.id + WHERE b.accepted_answer_id IS NULL + AND a.score / b.view_count > 0.01) + OR accepted_answer_id IS NOT NULL, 1, 0) AS label, + a.owner_user_id, + LENGTH(a.body) AS body_length + FROM `bigquery-public-data.stackoverflow.posts_questions` AS a) +SELECT lq.id, + b.reputation, + b.up_votes - b.down_votes AS net_votes, + e.badge_number +FROM labeled_questions AS lq +JOIN `bigquery-public-data.stackoverflow.users` AS b ON lq.owner_user_id = b.id +JOIN badge_counts AS e ON b.id = e.id +WHERE lq.label = 1 +ORDER BY lq.body_length DESC +LIMIT 10; diff --git a/spider2/queries/lite_bq310.sql b/spider2/queries/lite_bq310.sql index 68ad40b171a8d1de6104f833fdb3613b7824b3aa..e05e4877264087fa360613a4c3c9cc55f0214f46 100644 --- a/spider2/queries/lite_bq310.sql +++ b/spider2/queries/lite_bq310.sql @@ -1,50 +1,41 @@ -WITH -tags_to_use AS ( - SELECT tag, idx - FROM UNNEST([ - 'android-layout', - 'android-activity', - 'android-intent', - 'android-edittext', - 'android-fragments', - 'android-recyclerview', - 'listview', - 'android-actionbar', - 'google-maps', +WITH tags_to_use AS + (SELECT tag, + idx + FROM UNNEST([ + 'android-layout', + 'android-activity', + 'android-intent', + 'android-edittext', + 'android-fragments', + 'android-recyclerview', + 'listview', + 'android-actionbar', + 'google-maps', 'android-asynctask' - ]) AS tag WITH OFFSET idx -), -android_how_to_questions AS ( - SELECT - PQ.* - FROM - `bigquery-public-data.stackoverflow.posts_questions` PQ - WHERE - EXISTS ( - SELECT 1 - FROM UNNEST(SPLIT(PQ.tags, '|')) tag - WHERE tag IN (SELECT tag FROM tags_to_use) - ) - AND (LOWER(PQ.title) LIKE '%how%' OR LOWER(PQ.body) LIKE '%how%') -), -most_viewed_question AS ( - SELECT - T.id AS tag_id, - T.tag_name, - Q.id AS question_id, - Q.title, - Q.tags, - Q.view_count - FROM - `bigquery-public-data.stackoverflow.tags` T - INNER JOIN - tags_to_use TTU ON T.tag_name = TTU.tag - INNER JOIN - android_how_to_questions Q ON T.tag_name IN UNNEST(SPLIT(Q.tags, '|')) - ORDER BY Q.view_count DESC - LIMIT 1 -) -SELECT - title -FROM - most_viewed_question; + ]) AS tag WITH + OFFSET idx), + android_how_to_questions AS + (SELECT PQ.* + FROM `bigquery-public-data.stackoverflow.posts_questions` PQ + WHERE EXISTS + (SELECT 1 + FROM UNNEST(SPLIT(PQ.tags, '|')) tag + WHERE tag IN + (SELECT tag + FROM tags_to_use)) + AND (LOWER(PQ.title) LIKE '%how%' + OR LOWER(PQ.body) LIKE '%how%')), + most_viewed_question AS + (SELECT T.id AS tag_id, + T.tag_name, + Q.id AS question_id, + Q.title, + Q.tags, + Q.view_count + FROM `bigquery-public-data.stackoverflow.tags` T + INNER JOIN tags_to_use TTU ON T.tag_name = TTU.tag + INNER JOIN android_how_to_questions Q ON T.tag_name IN UNNEST(SPLIT(Q.tags, '|')) + ORDER BY Q.view_count DESC + LIMIT 1) +SELECT title +FROM most_viewed_question; diff --git a/spider2/queries/lite_bq327.sql b/spider2/queries/lite_bq327.sql index 6ffa37229493fd4f5cde2177486a0e6d06e5e264..f8f96b431489e5dd4e673cd885a47b20d6d9f489 100644 --- a/spider2/queries/lite_bq327.sql +++ b/spider2/queries/lite_bq327.sql @@ -1,36 +1,23 @@ -WITH russia_Data AS ( - SELECT DISTINCT - id.country_name, - id.value, -- Format in DataStudio - id.indicator_name - FROM ( - SELECT - country_code, - region - FROM - bigquery-public-data.world_bank_intl_debt.country_summary - WHERE - region != "" -- Aggregated countries do not have a region - ) cs -- Aggregated countries do not have a region - INNER JOIN ( - SELECT - country_code, - country_name, - value, - indicator_name - FROM - bigquery-public-data.world_bank_intl_debt.international_debt - WHERE - country_code = 'RUS' - ) id - ON - cs.country_code = id.country_code - WHERE value IS NOT NULL -) --- Count the number of indicators with a value of 0 for Russia -SELECT - COUNT(*) AS number_of_indicators_with_zero -FROM - russia_Data -WHERE - value = 0; +WITH russia_Data AS + (SELECT DISTINCT id.country_name, + id.value, -- Format in DataStudio + id.indicator_name + FROM + (SELECT country_code, + region + FROM bigquery-PUBLIC-data.world_bank_intl_debt.country_summary + WHERE region != "" -- Aggregated countries do not have a region +) cs -- Aggregated countries do not have a region + + INNER JOIN + (SELECT country_code, + country_name, + value, + indicator_name + FROM bigquery-PUBLIC-data.world_bank_intl_debt.international_debt + WHERE country_code = 'RUS') id ON cs.country_code = id.country_code + WHERE value IS NOT NULL) -- Count the number of indicators with a value of 0 for Russia + +SELECT COUNT(*) AS number_of_indicators_with_zero +FROM russia_Data +WHERE value = 0; diff --git a/spider2/queries/lite_bq328.sql b/spider2/queries/lite_bq328.sql index 60a6f6c2272d86cc6879e44587a728921cb1e106..ee32908ff3ecd06ec766274219d901446cfe5fd3 100644 --- a/spider2/queries/lite_bq328.sql +++ b/spider2/queries/lite_bq328.sql @@ -1,42 +1,30 @@ -WITH country_data AS ( - -- CTE for country descriptive data - SELECT - country_code, - short_name AS country, - region, - income_group - FROM - `bigquery-public-data.world_bank_wdi.country_summary` -), +WITH country_data AS + (-- CTE for country descriptive data + SELECT country_code, + short_name AS country, + region, + income_group + FROM `bigquery-public-data.world_bank_wdi.country_summary`), + gdp_data AS + (-- Filter data to only include GDP values + SELECT data.country_code, + country, + region, + value AS gdp_value + FROM `bigquery-public-data.world_bank_wdi.indicators_data` DATA + LEFT JOIN country_data ON data.country_code = country_data.country_code + WHERE indicator_code = "NY.GDP.MKTP.KD" -- GDP Indicator -gdp_data AS ( - -- Filter data to only include GDP values - SELECT - data.country_code, - country, - region, - value AS gdp_value - FROM - `bigquery-public-data.world_bank_wdi.indicators_data` data - LEFT JOIN country_data - ON data.country_code = country_data.country_code - WHERE indicator_code = "NY.GDP.MKTP.KD" -- GDP Indicator - AND country_data.region IS NOT NULL - AND country_data.income_group IS NOT NULL -), + AND country_data.region IS NOT NULL + AND country_data.income_group IS NOT NULL), + cal_median_gdp AS + (-- Calculate the median GDP value for each region + SELECT region, + APPROX_QUANTILES(gdp_value, 2)[OFFSET(1)] AS median_gdp + FROM gdp_data + GROUP BY region) -- Select the regions with their median GDP values -cal_median_gdp AS ( - -- Calculate the median GDP value for each region - SELECT - region, - APPROX_QUANTILES(gdp_value, 2)[OFFSET(1)] AS median_gdp - FROM gdp_data - GROUP BY region -) --- Select the regions with their median GDP values -SELECT - region -FROM - cal_median_gdp +SELECT region +FROM cal_median_gdp ORDER BY median_gdp DESC LIMIT 1; diff --git a/spider2/queries/lite_bq330.sql b/spider2/queries/lite_bq330.sql index bf411c2c76f7fdc5d89dc0c121b463ba8a7d95cd..249d23fcc9fd7e3ebeb68ee2de99c53eeeb1c712 100644 --- a/spider2/queries/lite_bq330.sql +++ b/spider2/queries/lite_bq330.sql @@ -1,73 +1,39 @@ -WITH _fips AS ( - SELECT - state_fips_code - FROM - `bigquery-public-data.census_utility.fips_codes_states` - WHERE - state_name = "Colorado" -), - -_bg AS ( - SELECT - b.geo_id, - b.blockgroup_geom, - ST_AREA(b.blockgroup_geom) AS bg_size - FROM - `bigquery-public-data.geo_census_blockgroups.us_blockgroups_national` b - JOIN - _fips u ON b.state_fips_code = u.state_fips_code -), - -_zip AS ( - SELECT - z.zip_code, - z.zip_code_geom - FROM - `bigquery-public-data.geo_us_boundaries.zip_codes` z - JOIN - _fips u ON z.state_fips_code = u.state_fips_code -), - -bq_zip_overlap AS ( - SELECT - b.geo_id, - z.zip_code, - ST_AREA(ST_INTERSECTION(b.blockgroup_geom, z.zip_code_geom)) / b.bg_size AS overlap_size, - b.blockgroup_geom - FROM - _zip z - JOIN - _bg b ON ST_INTERSECTS(b.blockgroup_geom, z.zip_code_geom) -), - -locations AS ( - SELECT - SUM(overlap_size * count_locations) AS locations_per_bg, - l.zip_code - FROM ( - SELECT - COUNT(CONCAT(institution_name, " : ", branch_name)) AS count_locations, - zip_code - FROM - `bigquery-public-data.fdic_banks.locations` - WHERE - state IS NOT NULL - AND state_name IS NOT NULL - GROUP BY - zip_code - ) l - JOIN - bq_zip_overlap ON l.zip_code = bq_zip_overlap.zip_code - GROUP BY - l.zip_code -) - -SELECT - l.zip_code -FROM - locations l -GROUP BY - l.zip_code -ORDER BY - MAX(locations_per_bg) DESC +WITH _fips AS + (SELECT state_fips_code + FROM `bigquery-public-data.census_utility.fips_codes_states` + WHERE state_name = "Colorado"), + _bg AS + (SELECT b.geo_id, + b.blockgroup_geom, + ST_AREA(b.blockgroup_geom) AS bg_size + FROM `bigquery-public-data.geo_census_blockgroups.us_blockgroups_national` b + JOIN _fips u ON b.state_fips_code = u.state_fips_code), + _zip AS + (SELECT z.zip_code, + z.zip_code_geom + FROM `bigquery-public-data.geo_us_boundaries.zip_codes` z + JOIN _fips u ON z.state_fips_code = u.state_fips_code), + bq_zip_overlap AS + (SELECT b.geo_id, + z.zip_code, + ST_AREA(ST_INTERSECTION(b.blockgroup_geom, z.zip_code_geom)) / b.bg_size AS overlap_size, + b.blockgroup_geom + FROM _zip z + JOIN _bg b ON ST_INTERSECTS(b.blockgroup_geom, z.zip_code_geom)), + locations AS + (SELECT SUM(overlap_size * count_locations) AS locations_per_bg, + l.zip_code + FROM + (SELECT COUNT(CONCAT(institution_name, " : ", branch_name)) AS count_locations, + zip_code + FROM `bigquery-public-data.fdic_banks.locations` + WHERE state IS NOT NULL + AND state_name IS NOT NULL + GROUP BY zip_code) l + JOIN bq_zip_overlap ON l.zip_code = bq_zip_overlap.zip_code + GROUP BY l.zip_code) +SELECT l.zip_code +FROM locations l +GROUP BY l.zip_code +ORDER BY MAX(locations_per_bg) DESC LIMIT 1; diff --git a/spider2/queries/lite_bq338.sql b/spider2/queries/lite_bq338.sql index 107d6e5f16290188e60cad75a2b1fc80fde9c467..c31916ef768bda23dc9a57a9ca053682c4dd18ec 100644 --- a/spider2/queries/lite_bq338.sql +++ b/spider2/queries/lite_bq338.sql @@ -1,69 +1,41 @@ -WITH population_change AS ( - SELECT - a.geo_id, - a.total_pop AS pop_2011, - b.total_pop AS pop_2018, - ((b.total_pop - a.total_pop) / a.total_pop) * 100 AS population_change_percentage - FROM - bigquery-public-data.census_bureau_acs.censustract_2011_5yr a - JOIN - bigquery-public-data.census_bureau_acs.censustract_2018_5yr b - ON - a.geo_id = b.geo_id - WHERE - a.total_pop > 1000 - AND b.total_pop > 1000 - AND a.geo_id LIKE '36047%' - AND b.geo_id LIKE '36047%' - ORDER BY - population_change_percentage DESC - LIMIT 20 -), - -acs_2018 AS ( - SELECT - geo_id, - median_income AS median_income_2018 - FROM - bigquery-public-data.census_bureau_acs.censustract_2018_5yr - WHERE - geo_id LIKE '36047%' - AND total_pop > 1000 -), - -acs_2011 AS ( - SELECT - geo_id, - median_income AS median_income_2011 - FROM - bigquery-public-data.census_bureau_acs.censustract_2011_5yr - WHERE - geo_id LIKE '36047%' - AND total_pop > 1000 -), - -acs_diff AS ( - SELECT - a18.geo_id, - a18.median_income_2018, - a11.median_income_2011, - (a18.median_income_2018 - a11.median_income_2011) AS median_income_diff - FROM - acs_2018 a18 - JOIN - acs_2011 a11 - ON a18.geo_id = a11.geo_id - WHERE - (a18.median_income_2018 - a11.median_income_2011) IS NOT NULL - ORDER BY - (a18.median_income_2018 - a11.median_income_2011) DESC - LIMIT 20 -), - -common_geoids AS ( - SELECT population_change.geo_id - FROM population_change - JOIN acs_diff ON population_change.geo_id = acs_diff.geo_id -) - -SELECT geo_id FROM common_geoids; +WITH population_change AS + (SELECT a.geo_id, + a.total_pop AS pop_2011, + b.total_pop AS pop_2018, + ((b.total_pop - a.total_pop) / a.total_pop) * 100 AS population_change_percentage + FROM bigquery-PUBLIC-data.census_bureau_acs.censustract_2011_5yr a + JOIN bigquery-PUBLIC-data.census_bureau_acs.censustract_2018_5yr b ON a.geo_id = b.geo_id + WHERE a.total_pop > 1000 + AND b.total_pop > 1000 + AND a.geo_id LIKE '36047%' + AND b.geo_id LIKE '36047%' + ORDER BY population_change_percentage DESC + LIMIT 20), + acs_2018 AS + (SELECT geo_id, + median_income AS median_income_2018 + FROM bigquery-PUBLIC-data.census_bureau_acs.censustract_2018_5yr + WHERE geo_id LIKE '36047%' + AND total_pop > 1000), + acs_2011 AS + (SELECT geo_id, + median_income AS median_income_2011 + FROM bigquery-PUBLIC-data.census_bureau_acs.censustract_2011_5yr + WHERE geo_id LIKE '36047%' + AND total_pop > 1000), + acs_diff AS + (SELECT a18.geo_id, + a18.median_income_2018, + a11.median_income_2011, + (a18.median_income_2018 - a11.median_income_2011) AS median_income_diff + FROM acs_2018 a18 + JOIN acs_2011 a11 ON a18.geo_id = a11.geo_id + WHERE (a18.median_income_2018 - a11.median_income_2011) IS NOT NULL + ORDER BY (a18.median_income_2018 - a11.median_income_2011) DESC + LIMIT 20), + common_geoids AS + (SELECT population_change.geo_id + FROM population_change + JOIN acs_diff ON population_change.geo_id = acs_diff.geo_id) +SELECT geo_id +FROM common_geoids; diff --git a/spider2/queries/lite_bq339.sql b/spider2/queries/lite_bq339.sql index 1e1d29b8c02f91231dd7e4575d1fd2f93cd4827f..b4d3f29d178f247bcc06b5d61fbb873ac57e881f 100644 --- a/spider2/queries/lite_bq339.sql +++ b/spider2/queries/lite_bq339.sql @@ -1,37 +1,30 @@ -WITH monthly_totals AS ( - SELECT - SUM(CASE WHEN subscriber_type = 'Customer' THEN duration_sec / 60 ELSE NULL END) AS customer_minutes_sum, - SUM(CASE WHEN subscriber_type = 'Subscriber' THEN duration_sec / 60 ELSE NULL END) AS subscriber_minutes_sum, - EXTRACT(MONTH FROM end_date) AS end_month - FROM - `bigquery-public-data.san_francisco_bikeshare.bikeshare_trips` - WHERE - EXTRACT(YEAR FROM end_date) = 2017 - GROUP BY - end_month -), - -cumulative_totals AS ( - SELECT - end_month, - SUM(customer_minutes_sum) OVER (ORDER BY end_month ROWS UNBOUNDED PRECEDING) / 1000 AS cumulative_minutes_cust, - SUM(subscriber_minutes_sum) OVER (ORDER BY end_month ROWS UNBOUNDED PRECEDING) / 1000 AS cumulative_minutes_sub - FROM - monthly_totals -), - -differences AS ( - SELECT - end_month, - ABS(cumulative_minutes_cust - cumulative_minutes_sub) AS abs_diff - FROM - cumulative_totals -) - -SELECT - end_month -FROM - differences -ORDER BY - abs_diff DESC +WITH monthly_totals AS + (SELECT SUM(CASE + WHEN subscriber_type = 'Customer' THEN duration_sec / 60 + ELSE NULL + END) AS customer_minutes_sum, + SUM(CASE + WHEN subscriber_type = 'Subscriber' THEN duration_sec / 60 + ELSE NULL + END) AS subscriber_minutes_sum, + EXTRACT(MONTH + FROM end_date) AS end_month + FROM `bigquery-public-data.san_francisco_bikeshare.bikeshare_trips` + WHERE EXTRACT(YEAR + FROM end_date) = 2017 + GROUP BY end_month), + cumulative_totals AS + (SELECT end_month, + SUM(customer_minutes_sum) OVER ( + ORDER BY end_month ROWS UNBOUNDED PRECEDING) / 1000 AS cumulative_minutes_cust, + SUM(subscriber_minutes_sum) OVER ( + ORDER BY end_month ROWS UNBOUNDED PRECEDING) / 1000 AS cumulative_minutes_sub + FROM monthly_totals), + differences AS + (SELECT end_month, + ABS(cumulative_minutes_cust - cumulative_minutes_sub) AS abs_diff + FROM cumulative_totals) +SELECT end_month +FROM differences +ORDER BY abs_diff DESC LIMIT 1; diff --git a/spider2/queries/lite_bq350.sql b/spider2/queries/lite_bq350.sql index da09cba6dd277a050efb36b31bbe4907faf60453..87302d2a1c3be425080219be82ae38b1c4858ca8 100644 --- a/spider2/queries/lite_bq350.sql +++ b/spider2/queries/lite_bq350.sql @@ -1,22 +1,20 @@ -DECLARE - my_drug_list ARRAY; -SET - my_drug_list = [ +DECLARE my_drug_list ARRAY; + + +SET my_drug_list = [ 'Keytruda', 'Vioxx', 'Humira', 'Premarin' ]; -SELECT - id AS drug_id, - tradeNameList.element AS drug_trade_name, - drugType AS drug_type, - hasBeenWithdrawn AS drug_withdrawn -FROM - `open-targets-prod.platform.molecule`, - UNNEST (tradeNames.list) AS tradeNameList -WHERE - tradeNameList.element IN UNNEST(my_drug_list) + +SELECT id AS drug_id, + tradeNameList.element AS drug_trade_name, + drugType AS drug_type, + hasBeenWithdrawn AS drug_withdrawn +FROM `open-targets-prod.platform.molecule`, + UNNEST (tradeNames.list) AS tradeNameList +WHERE tradeNameList.element IN UNNEST(my_drug_list) AND isApproved = TRUE AND blackBoxWarning = TRUE AND drugType != 'Unknown'; diff --git a/spider2/queries/lite_bq352.sql b/spider2/queries/lite_bq352.sql index cabf1ae9e61c5acec1604b688e09af37195e61d0..0ba6afc80a2a8ad0c195b0d8de55915fbb73304c 100644 --- a/spider2/queries/lite_bq352.sql +++ b/spider2/queries/lite_bq352.sql @@ -1,24 +1,22 @@ -WITH natality_2018 AS ( - SELECT County_of_Residence_FIPS AS FIPS, Ave_Number_of_Prenatal_Wks AS Vist_Ave, County_of_Residence - FROM `bigquery-public-data.sdoh_cdc_wonder_natality.county_natality` - WHERE SUBSTR(County_of_Residence_FIPS, 0, 2) = "55" AND Year = '2018-01-01' -), - -acs_2017 AS ( - SELECT geo_id, commute_45_59_mins, employed_pop - FROM `bigquery-public-data.census_bureau_acs.county_2017_5yr` -), - -corr_tbl AS ( - SELECT - n.County_of_Residence, - ROUND((a.commute_45_59_mins / a.employed_pop) * 100, 2) AS percent_high_travel, - n.Vist_Ave - FROM acs_2017 a - JOIN natality_2018 n - ON a.geo_id = n.FIPS -) - -SELECT County_of_Residence, Vist_Ave +WITH natality_2018 AS + (SELECT County_of_Residence_FIPS AS FIPS, + Ave_Number_of_Prenatal_Wks AS Vist_Ave, + County_of_Residence + FROM `bigquery-public-data.sdoh_cdc_wonder_natality.county_natality` + WHERE SUBSTR(County_of_Residence_FIPS, 0, 2) = "55" + AND YEAR = '2018-01-01'), + acs_2017 AS + (SELECT geo_id, + commute_45_59_mins, + employed_pop + FROM `bigquery-public-data.census_bureau_acs.county_2017_5yr`), + corr_tbl AS + (SELECT n.County_of_Residence, + ROUND((a.commute_45_59_mins / a.employed_pop) * 100, 2) AS percent_high_travel, + n.Vist_Ave + FROM acs_2017 a + JOIN natality_2018 n ON a.geo_id = n.FIPS) +SELECT County_of_Residence, + Vist_Ave FROM corr_tbl WHERE percent_high_travel > 5 diff --git a/spider2/queries/lite_bq354.sql b/spider2/queries/lite_bq354.sql index 634a742ca888063d26aed65a8d21b7ca766f6a1a..5715612dfdc7134a1527396172fbe8f98fd732ca 100644 --- a/spider2/queries/lite_bq354.sql +++ b/spider2/queries/lite_bq354.sql @@ -1,83 +1,47 @@ -WITH skin_condition_ICD_concept_ids AS ( - SELECT - concept_id, - CASE concept_code - WHEN 'L70' THEN 'Acne' - WHEN 'L20' THEN 'Atopic dermatitis' - WHEN 'L40' THEN 'Psoriasis' - ELSE 'Vitiligo' - END AS skin_condition - FROM - `bigquery-public-data.cms_synthetic_patient_data_omop.concept` - WHERE - concept_code IN ('L70', 'L20', 'L40', 'L80') - AND vocabulary_id = 'ICD10CM' -), -standard_concept_ids AS ( - SELECT - concept_id - FROM - `bigquery-public-data.cms_synthetic_patient_data_omop.concept` - WHERE - standard_concept = 'S' -), -skin_condition_standard_concept_ids AS ( - SELECT - s.skin_condition, - r.concept_id_2 AS concept_id - FROM - skin_condition_ICD_concept_ids s - JOIN - `bigquery-public-data.cms_synthetic_patient_data_omop.concept_relationship` r - ON - s.concept_id = r.concept_id_1 - JOIN - standard_concept_ids sc - ON - sc.concept_id = r.concept_id_2 - WHERE - r.relationship_id = 'Maps to' -), -all_skin_concept_ids AS ( - SELECT DISTINCT - skin_condition, - concept_id - FROM - skin_condition_standard_concept_ids -), -descendant_concept_ids AS ( - SELECT - a.skin_condition, - ca.descendant_concept_id AS concept_id - FROM - all_skin_concept_ids a - JOIN - `bigquery-public-data.cms_synthetic_patient_data_omop.concept_ancestor` ca - ON - a.concept_id = ca.ancestor_concept_id -), -participants_with_condition AS ( - SELECT - d.skin_condition, - COUNT(DISTINCT co.person_id) AS nb_of_participants_with_skin_condition - FROM - `bigquery-public-data.cms_synthetic_patient_data_omop.condition_occurrence` co - JOIN - descendant_concept_ids d - ON - co.condition_concept_id = d.concept_id - GROUP BY - d.skin_condition -), -total_participants AS ( - SELECT - COUNT(DISTINCT person_id) AS nb_of_participants - FROM - `bigquery-public-data.cms_synthetic_patient_data_omop.person` -) -SELECT - p.skin_condition, - 100 * p.nb_of_participants_with_skin_condition / t.nb_of_participants AS percentage_of_participants -FROM - participants_with_condition p, - total_participants t +WITH skin_condition_ICD_concept_ids AS + (SELECT concept_id, + CASE concept_code + WHEN 'L70' THEN 'Acne' + WHEN 'L20' THEN 'Atopic dermatitis' + WHEN 'L40' THEN 'Psoriasis' + ELSE 'Vitiligo' + END AS skin_condition + FROM `bigquery-public-data.cms_synthetic_patient_data_omop.concept` + WHERE concept_code IN ('L70', + 'L20', + 'L40', + 'L80') + AND vocabulary_id = 'ICD10CM'), + standard_concept_ids AS + (SELECT concept_id + FROM `bigquery-public-data.cms_synthetic_patient_data_omop.concept` + WHERE standard_concept = 'S'), + skin_condition_standard_concept_ids AS + (SELECT s.skin_condition, + r.concept_id_2 AS concept_id + FROM skin_condition_ICD_concept_ids s + JOIN `bigquery-public-data.cms_synthetic_patient_data_omop.concept_relationship` r ON s.concept_id = r.concept_id_1 + JOIN standard_concept_ids sc ON sc.concept_id = r.concept_id_2 + WHERE r.relationship_id = 'Maps to'), + all_skin_concept_ids AS + (SELECT DISTINCT skin_condition, + concept_id + FROM skin_condition_standard_concept_ids), + descendant_concept_ids AS + (SELECT a.skin_condition, + ca.descendant_concept_id AS concept_id + FROM all_skin_concept_ids a + JOIN `bigquery-public-data.cms_synthetic_patient_data_omop.concept_ancestor` ca ON a.concept_id = ca.ancestor_concept_id), + participants_with_condition AS + (SELECT d.skin_condition, + COUNT(DISTINCT co.person_id) AS nb_of_participants_with_skin_condition + FROM `bigquery-public-data.cms_synthetic_patient_data_omop.condition_occurrence` co + JOIN descendant_concept_ids d ON co.condition_concept_id = d.concept_id + GROUP BY d.skin_condition), + total_participants AS + (SELECT COUNT(DISTINCT person_id) AS nb_of_participants + FROM `bigquery-public-data.cms_synthetic_patient_data_omop.person`) +SELECT p.skin_condition, + 100 * p.nb_of_participants_with_skin_condition / t.nb_of_participants AS percentage_of_participants +FROM participants_with_condition p, + total_participants t diff --git a/spider2/queries/lite_bq355.sql b/spider2/queries/lite_bq355.sql index 4d7df7303e509d89d82890a1ef02ecb81f59c0c5..14ea1ed012d3c26a85da92bc11b9eff114a4e0e8 100644 --- a/spider2/queries/lite_bq355.sql +++ b/spider2/queries/lite_bq355.sql @@ -1,23 +1,23 @@ -WITH quinapril_concept AS ( - SELECT concept_id - FROM `bigquery-public-data.cms_synthetic_patient_data_omop.concept` - WHERE concept_code = "35208" AND vocabulary_id = "RxNorm" -), -quinapril_related_medications AS ( - SELECT DISTINCT descendant_concept_id AS concept_id - FROM `bigquery-public-data.cms_synthetic_patient_data_omop.concept_ancestor` - WHERE ancestor_concept_id IN (SELECT concept_id FROM quinapril_concept) -), -participants_with_quinapril AS ( - SELECT COUNT(DISTINCT person_id) AS count - FROM `bigquery-public-data.cms_synthetic_patient_data_omop.drug_exposure` - WHERE drug_concept_id IN (SELECT concept_id FROM quinapril_related_medications) -), -total_participants AS ( - SELECT COUNT(DISTINCT person_id) AS count - FROM `bigquery-public-data.cms_synthetic_patient_data_omop.person` -) -SELECT - 100 - (100 * participants_with_quinapril.count / total_participants.count) AS without_quinapril -FROM - participants_with_quinapril, total_participants +WITH quinapril_concept AS + (SELECT concept_id + FROM `bigquery-public-data.cms_synthetic_patient_data_omop.concept` + WHERE concept_code = "35208" + AND vocabulary_id = "RxNorm"), + quinapril_related_medications AS + (SELECT DISTINCT descendant_concept_id AS concept_id + FROM `bigquery-public-data.cms_synthetic_patient_data_omop.concept_ancestor` + WHERE ancestor_concept_id IN + (SELECT concept_id + FROM quinapril_concept)), + participants_with_quinapril AS + (SELECT COUNT(DISTINCT person_id) AS COUNT + FROM `bigquery-public-data.cms_synthetic_patient_data_omop.drug_exposure` + WHERE drug_concept_id IN + (SELECT concept_id + FROM quinapril_related_medications)), + total_participants AS + (SELECT COUNT(DISTINCT person_id) AS COUNT + FROM `bigquery-public-data.cms_synthetic_patient_data_omop.person`) +SELECT 100 - (100 * participants_with_quinapril.count / total_participants.count) AS without_quinapril +FROM participants_with_quinapril, + total_participants diff --git a/spider2/queries/lite_bq357.sql b/spider2/queries/lite_bq357.sql index a356c4598b09ae3c458059c7a2333531334a1b4c..56b5451bace5b7cc2b628bc50249def3c666f9c3 100644 --- a/spider2/queries/lite_bq357.sql +++ b/spider2/queries/lite_bq357.sql @@ -1,21 +1,24 @@ -WITH DailyAverages AS ( - SELECT - year, month, day, latitude, longitude, - AVG(wind_speed) AS avg_wind_speed, - FROM - `bigquery-public-data.noaa_icoads.icoads_core_*` - WHERE - _TABLE_SUFFIX BETWEEN '2005' AND '2015' - GROUP BY - year, month, day, latitude, longitude -) -SELECT - year, month, day, latitude, longitude, - avg_wind_speed, - -FROM - DailyAverages -WHERE - avg_wind_speed IS NOT NULL - -ORDER BY avg_wind_speed DESC LIMIT 5 +WITH DailyAverages AS + (SELECT YEAR, + MONTH, + DAY, + latitude, + longitude, + AVG(wind_speed) AS avg_wind_speed, + FROM `bigquery-public-data.noaa_icoads.icoads_core_*` + WHERE _TABLE_SUFFIX BETWEEN '2005' AND '2015' + GROUP BY YEAR, + MONTH, + DAY, + latitude, + longitude) +SELECT YEAR, + MONTH, + DAY, + latitude, + longitude, + avg_wind_speed, +FROM DailyAverages +WHERE avg_wind_speed IS NOT NULL +ORDER BY avg_wind_speed DESC +LIMIT 5 diff --git a/spider2/queries/lite_bq360.sql b/spider2/queries/lite_bq360.sql index 252c2b8cc6d58ce57205d20b45f2a96977808129..e82abe1691dfdc27f3efd79f6c096fbe0224fd45 100644 --- a/spider2/queries/lite_bq360.sql +++ b/spider2/queries/lite_bq360.sql @@ -1,44 +1,28 @@ -WITH specialist_counts AS ( - SELECT - healthcare_provider_taxonomy_1_specialization, - COUNT(DISTINCT npi) AS number_specialist - FROM - `bigquery-public-data.nppes.npi_optimized` - WHERE - provider_business_practice_location_address_city_name = "MOUNTAIN VIEW" - AND provider_business_practice_location_address_state_name = "CA" - AND healthcare_provider_taxonomy_1_specialization > "" - GROUP BY - healthcare_provider_taxonomy_1_specialization -), -top_10_specialists AS ( - SELECT - healthcare_provider_taxonomy_1_specialization, - number_specialist - FROM - specialist_counts - ORDER BY - number_specialist DESC - LIMIT 10 -), -average_value AS ( - SELECT - AVG(number_specialist) AS average_specialist - FROM - top_10_specialists -), -closest_to_average AS ( - SELECT - healthcare_provider_taxonomy_1_specialization, - number_specialist, - ABS(number_specialist - (SELECT average_specialist FROM average_value)) AS difference - FROM - top_10_specialists -) -SELECT - healthcare_provider_taxonomy_1_specialization -FROM - closest_to_average -ORDER BY - difference +WITH specialist_counts AS + (SELECT healthcare_provider_taxonomy_1_specialization, + COUNT(DISTINCT npi) AS number_specialist + FROM `bigquery-public-data.nppes.npi_optimized` + WHERE provider_business_practice_location_address_city_name = "MOUNTAIN VIEW" + AND provider_business_practice_location_address_state_name = "CA" + AND healthcare_provider_taxonomy_1_specialization > "" + GROUP BY healthcare_provider_taxonomy_1_specialization), + top_10_specialists AS + (SELECT healthcare_provider_taxonomy_1_specialization, + number_specialist + FROM specialist_counts + ORDER BY number_specialist DESC + LIMIT 10), + average_value AS + (SELECT AVG(number_specialist) AS average_specialist + FROM top_10_specialists), + closest_to_average AS + (SELECT healthcare_provider_taxonomy_1_specialization, + number_specialist, + ABS(number_specialist - + (SELECT average_specialist + FROM average_value)) AS difference + FROM top_10_specialists) +SELECT healthcare_provider_taxonomy_1_specialization +FROM closest_to_average +ORDER BY difference LIMIT 1; diff --git a/spider2/queries/lite_bq362.sql b/spider2/queries/lite_bq362.sql index eb8c6a8d964a39646a6de6e05671049a64525d1c..95b953cd9d033ff5f273cb8efd27b7f10f33010a 100644 --- a/spider2/queries/lite_bq362.sql +++ b/spider2/queries/lite_bq362.sql @@ -1,21 +1,28 @@ -select company from - (select *, - row_number() over(partition by company order by month_o_month_calc desc) as rownum - from - (select *, - num_trips - lag(num_trips) over(partition by company order by month) as month_o_month_calc - from - (SELECT - company, - format_date("%Y-%m", date_sub((cast(trip_start_timestamp as date)), interval 1 month)) as prev_month, - format_date("%Y-%m", cast(trip_start_timestamp as date)) AS month, +SELECT company +FROM + (SELECT *, + row_number() over(PARTITION BY company + ORDER BY month_o_month_calc DESC) AS rownum + FROM + (SELECT *, + num_trips - lag(num_trips) over(PARTITION BY company + ORDER BY MONTH) AS month_o_month_calc + FROM + (SELECT company, + format_date("%Y-%m", date_sub((cast(trip_start_timestamp AS date)), interval 1 MONTH)) AS prev_month, + format_date("%Y-%m", cast(trip_start_timestamp AS date)) AS MONTH, count(1) AS num_trips - from `bigquery-public-data.chicago_taxi_trips.taxi_trips` - where extract(YEAR from trip_start_timestamp) = 2018 - group by company, month, prev_month - order by company,month) - order by company, month_o_month_calc desc) - ) - where rownum = 1 - order by month_o_month_calc desc, company - limit 3 + FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips` + WHERE extract(YEAR + FROM trip_start_timestamp) = 2018 + GROUP BY company, + MONTH, + prev_month + ORDER BY company, + MONTH) + ORDER BY company, + month_o_month_calc DESC)) +WHERE rownum = 1 +ORDER BY month_o_month_calc DESC, + company +LIMIT 3 diff --git a/spider2/queries/lite_bq363.sql b/spider2/queries/lite_bq363.sql index 75ffab7d4089013e515586adbc837432db0a46f4..1896dc90fc1fb43225c89d71db3f2553943c6e38 100644 --- a/spider2/queries/lite_bq363.sql +++ b/spider2/queries/lite_bq363.sql @@ -1,32 +1,22 @@ -SELECT - FORMAT('%02.0fm to %02.0fm', min_minutes, max_minutes) AS minutes_range, - SUM(trips) AS total_trips, - FORMAT('%3.2f', SUM(total_fare) / SUM(trips)) AS average_fare -FROM ( - SELECT - MIN(duration_in_minutes) OVER (quantiles) AS min_minutes, - MAX(duration_in_minutes) OVER (quantiles) AS max_minutes, - SUM(trips) AS trips, - SUM(total_fare) AS total_fare - FROM ( - SELECT - ROUND(trip_seconds / 60) AS duration_in_minutes, - NTILE(10) OVER (ORDER BY trip_seconds / 60) AS quantile, - COUNT(1) AS trips, - SUM(fare) AS total_fare - FROM - `bigquery-public-data.chicago_taxi_trips.taxi_trips` - WHERE - ROUND(trip_seconds / 60) BETWEEN 1 AND 50 - GROUP BY - trip_seconds, - duration_in_minutes ) - GROUP BY - duration_in_minutes, - quantile - WINDOW quantiles AS (PARTITION BY quantile) - ) -GROUP BY - minutes_range -ORDER BY - Minutes_range +SELECT FORMAT('%02.0fm to %02.0fm', min_minutes, max_minutes) AS minutes_range, + SUM(trips) AS total_trips, + FORMAT('%3.2f', SUM(total_fare) / SUM(trips)) AS average_fare +FROM + (SELECT MIN(duration_in_minutes) OVER (quantiles) AS min_minutes, + MAX(duration_in_minutes) OVER (quantiles) AS max_minutes, + SUM(trips) AS trips, + SUM(total_fare) AS total_fare + FROM + (SELECT ROUND(trip_seconds / 60) AS duration_in_minutes, + NTILE(10) OVER ( + ORDER BY trip_seconds / 60) AS quantile, + COUNT(1) AS trips, + SUM(fare) AS total_fare + FROM `bigquery-public-data.chicago_taxi_trips.taxi_trips` + WHERE ROUND(trip_seconds / 60) BETWEEN 1 AND 50 + GROUP BY trip_seconds, + duration_in_minutes) + GROUP BY duration_in_minutes, + quantile WINDOW quantiles AS (PARTITION BY quantile)) +GROUP BY minutes_range +ORDER BY Minutes_range diff --git a/spider2/queries/lite_bq366.sql b/spider2/queries/lite_bq366.sql index adcfe5f8886c7c61363e6068521387505da01133..994912d25fcc6978b4d9e2a7ec4b729ba8a4a22b 100644 --- a/spider2/queries/lite_bq366.sql +++ b/spider2/queries/lite_bq366.sql @@ -1,20 +1,22 @@ -SELECT period, description, c FROM ( - SELECT -a.period, -b.description, -count(*) c, -row_number() over (partition by period order by count(*) desc) seqnum - FROM `bigquery-public-data.the_met.objects` a - JOIN ( - SELECT - label.description as description, - object_id - FROM `bigquery-public-data.the_met.vision_api_data`, UNNEST(labelAnnotations) label - ) b - ON a.object_id = b.object_id - WHERE a.period is not null - group by 1,2 -) +SELECT period, + description, + c +FROM + (SELECT a.period, + b.description, + count(*) c, + row_number() OVER (PARTITION BY period + ORDER BY count(*) DESC) seqnum + FROM `bigquery-public-data.the_met.objects` a + JOIN + (SELECT label.description AS description, + object_id + FROM `bigquery-public-data.the_met.vision_api_data`, + UNNEST(labelAnnotations) label) b ON a.object_id = b.object_id + WHERE a.period IS NOT NULL + GROUP BY 1, + 2) WHERE seqnum <= 3 -AND c >= 500 # only include labels that have 50 or more pieces associated with it -ORDER BY period, c desc; + AND c >= 500 # only include labels that have 50 or more pieces associated with it +ORDER BY period, + c DESC; diff --git a/spider2/queries/lite_bq374.sql b/spider2/queries/lite_bq374.sql index b86746d0c62a1139acfa55be2c96722cddda7c2f..499943211966eeeabaa1a1ea22cedb6a635a203c 100644 --- a/spider2/queries/lite_bq374.sql +++ b/spider2/queries/lite_bq374.sql @@ -1,65 +1,40 @@ -WITH initial_visits AS ( - SELECT - fullVisitorId, - MIN(visitStartTime) AS initialVisitStartTime - FROM - `bigquery-public-data.google_analytics_sample.*` - WHERE - totals.newVisits = 1 - AND date BETWEEN '20160801' AND '20170430' - GROUP BY - fullVisitorId -), -qualified_initial_visits AS ( - SELECT - s.fullVisitorId, - s.visitStartTime AS initialVisitStartTime, - s.totals.timeOnSite AS time_on_site - FROM - `bigquery-public-data.google_analytics_sample.*` s - JOIN initial_visits i - ON s.fullVisitorId = i.fullVisitorId - AND s.visitStartTime = i.initialVisitStartTime - WHERE - s.totals.timeOnSite > 300 -), -filtered_data AS ( - SELECT - q.fullVisitorId, - q.time_on_site, - IF(COUNTIF(s.visitStartTime > q.initialVisitStartTime AND s.totals.transactions > 0) > 0, 1, 0) AS will_buy_on_return_visit - FROM - qualified_initial_visits q - LEFT JOIN `bigquery-public-data.google_analytics_sample.*` s - ON q.fullVisitorId = s.fullVisitorId - GROUP BY - q.fullVisitorId, q.time_on_site -), -matching_users AS ( - SELECT - fullVisitorId - FROM - filtered_data - WHERE - time_on_site > 300 AND will_buy_on_return_visit = 1 -), -total_new_users AS ( - SELECT - COUNT(DISTINCT fullVisitorId) AS total_new_users - FROM - `bigquery-public-data.google_analytics_sample.*` - WHERE - totals.newVisits = 1 - AND date BETWEEN '20160801' AND '20170430' -), -final_counts AS ( - SELECT - COUNT(DISTINCT fullVisitorId) AS users_matching_criteria - FROM - matching_users -) -SELECT - (final_counts.users_matching_criteria / total_new_users.total_new_users) * 100 AS percentage_matching_criteria -FROM - final_counts, - total_new_users; +WITH initial_visits AS + (SELECT fullVisitorId, + MIN(visitStartTime) AS initialVisitStartTime + FROM `bigquery-public-data.google_analytics_sample.*` + WHERE totals.newVisits = 1 + AND date BETWEEN '20160801' AND '20170430' + GROUP BY fullVisitorId), + qualified_initial_visits AS + (SELECT s.fullVisitorId, + s.visitStartTime AS initialVisitStartTime, + s.totals.timeOnSite AS time_on_site + FROM `bigquery-public-data.google_analytics_sample.*` s + JOIN initial_visits i ON s.fullVisitorId = i.fullVisitorId + AND s.visitStartTime = i.initialVisitStartTime + WHERE s.totals.timeOnSite > 300), + filtered_data AS + (SELECT q.fullVisitorId, + q.time_on_site, + IF(COUNTIF(s.visitStartTime > q.initialVisitStartTime + AND s.totals.transactions > 0) > 0, 1, 0) AS will_buy_on_return_visit + FROM qualified_initial_visits q + LEFT JOIN `bigquery-public-data.google_analytics_sample.*` s ON q.fullVisitorId = s.fullVisitorId + GROUP BY q.fullVisitorId, + q.time_on_site), + matching_users AS + (SELECT fullVisitorId + FROM filtered_data + WHERE time_on_site > 300 + AND will_buy_on_return_visit = 1), + total_new_users AS + (SELECT COUNT(DISTINCT fullVisitorId) AS total_new_users + FROM `bigquery-public-data.google_analytics_sample.*` + WHERE totals.newVisits = 1 + AND date BETWEEN '20160801' AND '20170430'), + final_counts AS + (SELECT COUNT(DISTINCT fullVisitorId) AS users_matching_criteria + FROM matching_users) +SELECT (final_counts.users_matching_criteria / total_new_users.total_new_users) * 100 AS percentage_matching_criteria +FROM final_counts, + total_new_users; diff --git a/spider2/queries/lite_bq376.sql b/spider2/queries/lite_bq376.sql index 9f7994104144afff88f1ad7feaf82e79dad240bb..87b91d771abe336fb7460672b8cfc2a8edab639c 100644 --- a/spider2/queries/lite_bq376.sql +++ b/spider2/queries/lite_bq376.sql @@ -1,43 +1,21 @@ -WITH station_neighborhoods AS ( - SELECT - bs.station_id, - bs.name AS station_name, - nb.neighborhood +WITH station_neighborhoods AS + (SELECT bs.station_id, + bs.name AS station_name, + nb.neighborhood FROM `bigquery-public-data.san_francisco.bikeshare_stations` bs - JOIN - bigquery-public-data.san_francisco_neighborhoods.boundaries nb - ON - ST_Intersects(ST_GeogPoint(bs.longitude, bs.latitude), nb.neighborhood_geom) -), - -neighborhood_crime_counts AS ( - SELECT - neighborhood, - COUNT(*) AS crime_count - FROM ( - SELECT - n.neighborhood - FROM - bigquery-public-data.san_francisco.sfpd_incidents i - JOIN - bigquery-public-data.san_francisco_neighborhoods.boundaries n - ON - ST_Intersects(ST_GeogPoint(i.longitude, i.latitude), n.neighborhood_geom) - ) AS incident_neighborhoods - GROUP BY - neighborhood -) - -SELECT - sn.neighborhood, - COUNT(station_name) AS station_number, - ANY_VALUE(ncc.crime_count) AS crime_number -FROM - station_neighborhoods sn -JOIN - neighborhood_crime_counts ncc -ON - sn.neighborhood = ncc.neighborhood + JOIN bigquery-PUBLIC-data.san_francisco_neighborhoods.boundaries nb ON ST_Intersects(ST_GeogPoint(bs.longitude, bs.latitude), nb.neighborhood_geom)), + neighborhood_crime_counts AS + (SELECT neighborhood, + COUNT(*) AS crime_count + FROM + (SELECT n.neighborhood + FROM bigquery-PUBLIC-data.san_francisco.sfpd_incidents i + JOIN bigquery-PUBLIC-data.san_francisco_neighborhoods.boundaries n ON ST_Intersects(ST_GeogPoint(i.longitude, i.latitude), n.neighborhood_geom)) AS incident_neighborhoods + GROUP BY neighborhood) +SELECT sn.neighborhood, + COUNT(station_name) AS station_number, + ANY_VALUE(ncc.crime_count) AS crime_number +FROM station_neighborhoods sn +JOIN neighborhood_crime_counts ncc ON sn.neighborhood = ncc.neighborhood GROUP BY sn.neighborhood -ORDER BY - crime_number ASC +ORDER BY crime_number ASC diff --git a/spider2/queries/lite_bq379.sql b/spider2/queries/lite_bq379.sql index 7491dd9e49e4a794769d26109094cc5defd0a4e4..e6e798842c8dcdd30736fed185ca2d9ea3e9a1bb 100644 --- a/spider2/queries/lite_bq379.sql +++ b/spider2/queries/lite_bq379.sql @@ -1,31 +1,13 @@ -WITH AvgScore AS ( - SELECT - AVG(associations.score) AS avg_score - FROM - `open-targets-prod.platform.associationByOverallDirect` AS associations - JOIN - `open-targets-prod.platform.diseases` AS diseases - ON - associations.diseaseId = diseases.id - WHERE - diseases.name = 'psoriasis' -) -SELECT - targets.approvedSymbol AS target_approved_symbol -FROM - `open-targets-prod.platform.associationByOverallDirect` AS associations -JOIN - `open-targets-prod.platform.diseases` AS diseases -ON - associations.diseaseId = diseases.id -JOIN - `open-targets-prod.platform.targets` AS targets -ON - associations.targetId = targets.id -CROSS JOIN - AvgScore -WHERE - diseases.name = 'psoriasis' -ORDER BY - ABS(associations.score - AvgScore.avg_score) ASC +WITH AvgScore AS + (SELECT AVG(associations.score) AS avg_score + FROM `open-targets-prod.platform.associationByOverallDirect` AS associations + JOIN `open-targets-prod.platform.diseases` AS diseases ON associations.diseaseId = diseases.id + WHERE diseases.name = 'psoriasis') +SELECT targets.approvedSymbol AS target_approved_symbol +FROM `open-targets-prod.platform.associationByOverallDirect` AS associations +JOIN `open-targets-prod.platform.diseases` AS diseases ON associations.diseaseId = diseases.id +JOIN `open-targets-prod.platform.targets` AS targets ON associations.targetId = targets.id +CROSS JOIN AvgScore +WHERE diseases.name = 'psoriasis' +ORDER BY ABS(associations.score - AvgScore.avg_score) ASC LIMIT 1 diff --git a/spider2/queries/lite_bq383.sql b/spider2/queries/lite_bq383.sql index 7fe9f567b651763f7cbbd62fc83abf4b698f49f4..c4b89cb016c71833786a252ecbb03706a9271724 100644 --- a/spider2/queries/lite_bq383.sql +++ b/spider2/queries/lite_bq383.sql @@ -1,76 +1,52 @@ -WITH data AS ( - SELECT - EXTRACT(YEAR FROM wx.date) AS year, - MAX(IF(wx.element = 'PRCP', wx.value/10, NULL)) AS max_prcp, - MAX(IF(wx.element = 'TMIN', wx.value/10, NULL)) AS max_tmin, - MAX(IF(wx.element = 'TMAX', wx.value/10, NULL)) AS max_tmax - FROM - `bigquery-public-data.ghcn_d.ghcnd_2013` AS wx - WHERE - wx.id = 'USW00094846' AND - wx.qflag IS NULL AND - wx.value IS NOT NULL AND - DATE_DIFF(DATE('2013-12-31'), wx.date, DAY) < 15 - GROUP BY - year - - UNION ALL - - SELECT - EXTRACT(YEAR FROM wx.date) AS year, - MAX(IF(wx.element = 'PRCP', wx.value/10, NULL)) AS max_prcp, - MAX(IF(wx.element = 'TMIN', wx.value/10, NULL)) AS max_tmin, - MAX(IF(wx.element = 'TMAX', wx.value/10, NULL)) AS max_tmax - FROM - `bigquery-public-data.ghcn_d.ghcnd_2014` AS wx - WHERE - wx.id = 'USW00094846' AND - wx.qflag IS NULL AND - wx.value IS NOT NULL AND - DATE_DIFF(DATE('2014-12-31'), wx.date, DAY) < 15 - GROUP BY - year - - UNION ALL - - SELECT - EXTRACT(YEAR FROM wx.date) AS year, - MAX(IF(wx.element = 'PRCP', wx.value/10, NULL)) AS max_prcp, - MAX(IF(wx.element = 'TMIN', wx.value/10, NULL)) AS max_tmin, - MAX(IF(wx.element = 'TMAX', wx.value/10, NULL)) AS max_tmax - FROM - `bigquery-public-data.ghcn_d.ghcnd_2015` AS wx - WHERE - wx.id = 'USW00094846' AND - wx.qflag IS NULL AND - wx.value IS NOT NULL AND - DATE_DIFF(DATE('2015-12-31'), wx.date, DAY) < 15 - GROUP BY - year - - UNION ALL - - SELECT - EXTRACT(YEAR FROM wx.date) AS year, - MAX(IF(wx.element = 'PRCP', wx.value/10, NULL)) AS max_prcp, - MAX(IF(wx.element = 'TMIN', wx.value/10, NULL)) AS max_tmin, - MAX(IF(wx.element = 'TMAX', wx.value/10, NULL)) AS max_tmax - FROM - `bigquery-public-data.ghcn_d.ghcnd_2016` AS wx - WHERE - wx.id = 'USW00094846' AND - wx.qflag IS NULL AND - wx.value IS NOT NULL AND - DATE_DIFF(DATE('2016-12-31'), wx.date, DAY) < 15 - GROUP BY - year -) - -SELECT - year, - MAX(max_prcp) AS annual_max_prcp, - MAX(max_tmin) AS annual_max_tmin, - MAX(max_tmax) AS annual_max_tmax -FROM data -GROUP BY year -ORDER BY year ASC; +WITH DATA AS + (SELECT EXTRACT(YEAR + FROM wx.date) AS YEAR, + MAX(IF(wx.element = 'PRCP', wx.value/10, NULL)) AS max_prcp, + MAX(IF(wx.element = 'TMIN', wx.value/10, NULL)) AS max_tmin, + MAX(IF(wx.element = 'TMAX', wx.value/10, NULL)) AS max_tmax + FROM `bigquery-public-data.ghcn_d.ghcnd_2013` AS wx + WHERE wx.id = 'USW00094846' + AND wx.qflag IS NULL + AND wx.value IS NOT NULL + AND DATE_DIFF(DATE('2013-12-31'), wx.date, DAY) < 15 + GROUP BY YEAR + UNION ALL SELECT EXTRACT(YEAR + FROM wx.date) AS YEAR, + MAX(IF(wx.element = 'PRCP', wx.value/10, NULL)) AS max_prcp, + MAX(IF(wx.element = 'TMIN', wx.value/10, NULL)) AS max_tmin, + MAX(IF(wx.element = 'TMAX', wx.value/10, NULL)) AS max_tmax + FROM `bigquery-public-data.ghcn_d.ghcnd_2014` AS wx + WHERE wx.id = 'USW00094846' + AND wx.qflag IS NULL + AND wx.value IS NOT NULL + AND DATE_DIFF(DATE('2014-12-31'), wx.date, DAY) < 15 + GROUP BY YEAR + UNION ALL SELECT EXTRACT(YEAR + FROM wx.date) AS YEAR, + MAX(IF(wx.element = 'PRCP', wx.value/10, NULL)) AS max_prcp, + MAX(IF(wx.element = 'TMIN', wx.value/10, NULL)) AS max_tmin, + MAX(IF(wx.element = 'TMAX', wx.value/10, NULL)) AS max_tmax + FROM `bigquery-public-data.ghcn_d.ghcnd_2015` AS wx + WHERE wx.id = 'USW00094846' + AND wx.qflag IS NULL + AND wx.value IS NOT NULL + AND DATE_DIFF(DATE('2015-12-31'), wx.date, DAY) < 15 + GROUP BY YEAR + UNION ALL SELECT EXTRACT(YEAR + FROM wx.date) AS YEAR, + MAX(IF(wx.element = 'PRCP', wx.value/10, NULL)) AS max_prcp, + MAX(IF(wx.element = 'TMIN', wx.value/10, NULL)) AS max_tmin, + MAX(IF(wx.element = 'TMAX', wx.value/10, NULL)) AS max_tmax + FROM `bigquery-public-data.ghcn_d.ghcnd_2016` AS wx + WHERE wx.id = 'USW00094846' + AND wx.qflag IS NULL + AND wx.value IS NOT NULL + AND DATE_DIFF(DATE('2016-12-31'), wx.date, DAY) < 15 + GROUP BY YEAR) +SELECT YEAR, + MAX(max_prcp) AS annual_max_prcp, + MAX(max_tmin) AS annual_max_tmin, + MAX(max_tmax) AS annual_max_tmax +FROM DATA +GROUP BY YEAR +ORDER BY YEAR ASC; diff --git a/spider2/queries/lite_bq389.sql b/spider2/queries/lite_bq389.sql index dcdd83bfe111b237c6b00549f1478ce811cf06e1..b9c1f039dacfe9be256013a43e3c624416322770 100644 --- a/spider2/queries/lite_bq389.sql +++ b/spider2/queries/lite_bq389.sql @@ -1,57 +1,85 @@ -SELECT - pm10.month AS month, - pm10.avg AS pm10, - pm25_frm.avg AS pm25_frm, - pm25_nonfrm.avg AS pm25_nonfrm, - co.avg AS co, - so2.avg AS so2, - lead.avg AS lead +SELECT pm10.month AS MONTH, + pm10.avg AS pm10, + pm25_frm.avg AS pm25_frm, + pm25_nonfrm.avg AS pm25_nonfrm, + co.avg AS co, + so2.avg AS so2, + lead.avg AS lead FROM - (SELECT AVG(arithmetic_mean) AS avg, - EXTRACT(YEAR FROM date_local) AS year, - EXTRACT(MONTH FROM date_local) AS month + (SELECT AVG(arithmetic_mean) AS AVG, + EXTRACT(YEAR + FROM date_local) AS YEAR, + EXTRACT(MONTH + FROM date_local) AS MONTH FROM `bigquery-public-data.epa_historical_air_quality.pm10_daily_summary` - WHERE state_name = 'California' AND EXTRACT(YEAR FROM date_local) = 2020 - GROUP BY year, month) AS pm10 + WHERE state_name = 'California' + AND EXTRACT(YEAR + FROM date_local) = 2020 + GROUP BY YEAR, + MONTH) AS pm10 JOIN - (SELECT AVG(arithmetic_mean) AS avg, - EXTRACT(YEAR FROM date_local) AS year, - EXTRACT(MONTH FROM date_local) AS month + (SELECT AVG(arithmetic_mean) AS AVG, + EXTRACT(YEAR + FROM date_local) AS YEAR, + EXTRACT(MONTH + FROM date_local) AS MONTH FROM `bigquery-public-data.epa_historical_air_quality.pm25_frm_daily_summary` - WHERE state_name = 'California' AND EXTRACT(YEAR FROM date_local) = 2020 - GROUP BY year, month) AS pm25_frm -ON pm10.year = pm25_frm.year AND pm10.month = pm25_frm.month + WHERE state_name = 'California' + AND EXTRACT(YEAR + FROM date_local) = 2020 + GROUP BY YEAR, + MONTH) AS pm25_frm ON pm10.year = pm25_frm.year +AND pm10.month = pm25_frm.month JOIN - (SELECT AVG(arithmetic_mean) AS avg, - EXTRACT(YEAR FROM date_local) AS year, - EXTRACT(MONTH FROM date_local) AS month + (SELECT AVG(arithmetic_mean) AS AVG, + EXTRACT(YEAR + FROM date_local) AS YEAR, + EXTRACT(MONTH + FROM date_local) AS MONTH FROM `bigquery-public-data.epa_historical_air_quality.pm25_nonfrm_daily_summary` - WHERE state_name = 'California' AND EXTRACT(YEAR FROM date_local) = 2020 - GROUP BY year, month) AS pm25_nonfrm -ON pm10.year = pm25_nonfrm.year AND pm10.month = pm25_nonfrm.month + WHERE state_name = 'California' + AND EXTRACT(YEAR + FROM date_local) = 2020 + GROUP BY YEAR, + MONTH) AS pm25_nonfrm ON pm10.year = pm25_nonfrm.year +AND pm10.month = pm25_nonfrm.month JOIN - (SELECT AVG(arithmetic_mean) * 100 AS avg, - EXTRACT(YEAR FROM date_local) AS year, - EXTRACT(MONTH FROM date_local) AS month + (SELECT AVG(arithmetic_mean) * 100 AS AVG, + EXTRACT(YEAR + FROM date_local) AS YEAR, + EXTRACT(MONTH + FROM date_local) AS MONTH FROM `bigquery-public-data.epa_historical_air_quality.lead_daily_summary` - WHERE state_name = 'California' AND EXTRACT(YEAR FROM date_local) = 2020 - GROUP BY year, month) AS lead -ON pm10.year = lead.year AND pm10.month = lead.month + WHERE state_name = 'California' + AND EXTRACT(YEAR + FROM date_local) = 2020 + GROUP BY YEAR, + MONTH) AS lead ON pm10.year = lead.year +AND pm10.month = lead.month JOIN - (SELECT AVG(arithmetic_mean) AS avg, - EXTRACT(YEAR FROM date_local) AS year, - EXTRACT(MONTH FROM date_local) AS month + (SELECT AVG(arithmetic_mean) AS AVG, + EXTRACT(YEAR + FROM date_local) AS YEAR, + EXTRACT(MONTH + FROM date_local) AS MONTH FROM `bigquery-public-data.epa_historical_air_quality.voc_daily_summary` - WHERE state_name = 'California' AND EXTRACT(YEAR FROM date_local) = 2020 - GROUP BY year, month) AS co -ON pm10.year = co.year AND pm10.month = co.month + WHERE state_name = 'California' + AND EXTRACT(YEAR + FROM date_local) = 2020 + GROUP BY YEAR, + MONTH) AS co ON pm10.year = co.year +AND pm10.month = co.month JOIN - (SELECT AVG(arithmetic_mean) * 10 AS avg, - EXTRACT(YEAR FROM date_local) AS year, - EXTRACT(MONTH FROM date_local) AS month + (SELECT AVG(arithmetic_mean) * 10 AS AVG, + EXTRACT(YEAR + FROM date_local) AS YEAR, + EXTRACT(MONTH + FROM date_local) AS MONTH FROM `bigquery-public-data.epa_historical_air_quality.so2_daily_summary` - WHERE state_name = 'California' AND EXTRACT(YEAR FROM date_local) = 2020 - GROUP BY year, month) AS so2 -ON pm10.year = so2.year AND pm10.month = so2.month -ORDER BY - month; + WHERE state_name = 'California' + AND EXTRACT(YEAR + FROM date_local) = 2020 + GROUP BY YEAR, + MONTH) AS so2 ON pm10.year = so2.year +AND pm10.month = so2.month +ORDER BY MONTH; diff --git a/spider2/queries/lite_bq392.sql b/spider2/queries/lite_bq392.sql index 52db2964cdbb88e0177b8396cba02e781e802e88..ebb4498ead04023c08f9e66eb6be666772573b56 100644 --- a/spider2/queries/lite_bq392.sql +++ b/spider2/queries/lite_bq392.sql @@ -1,53 +1,27 @@ -WITH - # FIRST CAST EACH YEAR, MONTH, DATE TO STRINGS - T AS ( - SELECT - *, - CAST(year AS STRING) AS year_string, - CAST(mo AS STRING) AS month_string, - CAST(da AS STRING) AS day_string - FROM - `bigquery-public-data.noaa_gsod.gsod2009` - WHERE - stn = "723758" - ), +WITH # FIRST CAST EACH YEAR, MONTH, DATE TO STRINGS + T AS + (SELECT *, + CAST(YEAR AS STRING) AS year_string, + CAST(mo AS STRING) AS month_string, + CAST(da AS STRING) AS day_string + FROM `bigquery-public-data.noaa_gsod.gsod2009` + WHERE stn = "723758"), # SECOND, CONCAT ALL THE STRINGS TOGETHER INTO ONE COLUMN + TT AS + (SELECT *, + CONCAT(year_string, "-", month_string, "-", day_string) AS date_string + FROM T), # THIRD, CAST THE DATE STRING INTO A DATE FORMAT + TTT AS + (SELECT *, + CAST(date_string AS DATE) AS date_date + FROM TT), # FOURTH, CALCULATE THE MEAN TEMPERATURE FOR EACH DATE + Temp_Avg AS + (SELECT date_date, + AVG(TEMP) AS avg_temp + FROM TTT + WHERE date_date BETWEEN '2009-10-01' AND '2009-10-31' + GROUP BY date_date) # FINAL SELECTION OF TOP 3 DATES WITH HIGHEST MEAN TEMPERATURE - # SECOND, CONCAT ALL THE STRINGS TOGETHER INTO ONE COLUMN - TT AS ( - SELECT - *, - CONCAT(year_string, "-", month_string, "-", day_string) AS date_string - FROM - T - ), - - # THIRD, CAST THE DATE STRING INTO A DATE FORMAT - TTT AS ( - SELECT - *, - CAST(date_string AS DATE) AS date_date - FROM - TT - ), - - # FOURTH, CALCULATE THE MEAN TEMPERATURE FOR EACH DATE - Temp_Avg AS ( - SELECT - date_date, - AVG(temp) AS avg_temp - FROM - TTT - WHERE - date_date BETWEEN '2009-10-01' AND '2009-10-31' - GROUP BY - date_date - ) - -# FINAL SELECTION OF TOP 3 DATES WITH HIGHEST MEAN TEMPERATURE -SELECT - date_date AS dates -FROM - Temp_Avg -ORDER BY - avg_temp DESC +SELECT date_date AS dates +FROM Temp_Avg +ORDER BY avg_temp DESC LIMIT 3; diff --git a/spider2/queries/lite_bq394.sql b/spider2/queries/lite_bq394.sql index 8c550f22c352bc86b0cad849546f5c8f45b462a0..07bd8557dc1546cdea0aa0bbbb7a5b5d6e013348 100644 --- a/spider2/queries/lite_bq394.sql +++ b/spider2/queries/lite_bq394.sql @@ -1,55 +1,35 @@ -WITH DailyAverages AS ( - SELECT - year, month, day, - air_temperature, - wetbulb_temperature, - dewpoint_temperature, - sea_surface_temp - FROM - `bigquery-public-data.noaa_icoads.icoads_core_*` - WHERE - _TABLE_SUFFIX BETWEEN '2010' AND '2014' -), - -MonthlyAverages AS ( - SELECT - year, - month, - AVG(air_temperature) AS avg_air_temperature, - AVG(wetbulb_temperature) AS avg_wetbulb_temperature, - AVG(dewpoint_temperature) AS avg_dewpoint_temperature, - AVG(sea_surface_temp) AS avg_sea_surface_temp - FROM - DailyAverages - WHERE - air_temperature IS NOT NULL - AND wetbulb_temperature IS NOT NULL - AND dewpoint_temperature IS NOT NULL - AND sea_surface_temp IS NOT NULL - GROUP BY - year, month -), - -DifferenceSums AS ( - SELECT - year, - month, - (ABS(avg_air_temperature - avg_wetbulb_temperature) + - ABS(avg_air_temperature - avg_dewpoint_temperature) + - ABS(avg_air_temperature - avg_sea_surface_temp) + - ABS(avg_wetbulb_temperature - avg_dewpoint_temperature) + - ABS(avg_wetbulb_temperature - avg_sea_surface_temp) + - ABS(avg_dewpoint_temperature - avg_sea_surface_temp)) AS sum_of_differences - FROM - MonthlyAverages -) - -SELECT - year, - month, - sum_of_differences -FROM - DifferenceSums -ORDER BY - sum_of_differences ASC +WITH DailyAverages AS + (SELECT YEAR, + MONTH, + DAY, + air_temperature, + wetbulb_temperature, + dewpoint_temperature, + sea_surface_temp + FROM `bigquery-public-data.noaa_icoads.icoads_core_*` + WHERE _TABLE_SUFFIX BETWEEN '2010' AND '2014'), + MonthlyAverages AS + (SELECT YEAR, + MONTH, + AVG(air_temperature) AS avg_air_temperature, + AVG(wetbulb_temperature) AS avg_wetbulb_temperature, + AVG(dewpoint_temperature) AS avg_dewpoint_temperature, + AVG(sea_surface_temp) AS avg_sea_surface_temp + FROM DailyAverages + WHERE air_temperature IS NOT NULL + AND wetbulb_temperature IS NOT NULL + AND dewpoint_temperature IS NOT NULL + AND sea_surface_temp IS NOT NULL + GROUP BY YEAR, + MONTH), + DifferenceSums AS + (SELECT YEAR, + MONTH, + (ABS(avg_air_temperature - avg_wetbulb_temperature) + ABS(avg_air_temperature - avg_dewpoint_temperature) + ABS(avg_air_temperature - avg_sea_surface_temp) + ABS(avg_wetbulb_temperature - avg_dewpoint_temperature) + ABS(avg_wetbulb_temperature - avg_sea_surface_temp) + ABS(avg_dewpoint_temperature - avg_sea_surface_temp)) AS sum_of_differences + FROM MonthlyAverages) +SELECT YEAR, + MONTH, + sum_of_differences +FROM DifferenceSums +ORDER BY sum_of_differences ASC LIMIT 3; diff --git a/spider2/queries/lite_bq395.sql b/spider2/queries/lite_bq395.sql index 77f2d7df410a403842c4a1c34e81c3b52cb6d361..6523fceef7540911a3beaf790a0bb1be8552e089 100644 --- a/spider2/queries/lite_bq395.sql +++ b/spider2/queries/lite_bq395.sql @@ -1,36 +1,29 @@ -WITH homeless_2015 AS ( - SELECT Unsheltered_Homeless AS U15, SUBSTR(CoC_Number, 0, 2) as State_Abbr - FROM `bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc` - WHERE Count_Year = 2015 -), - -homeless_2018 AS ( - SELECT Unsheltered_Homeless AS U18, SUBSTR(CoC_Number, 0, 2) as State_Abbr - FROM `bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc` - WHERE Count_Year = 2018 -), - -unsheltered_change AS ( - SELECT homeless_2018.State_Abbr, - SUM(U15) AS Unsheltered_2015, - SUM(U18) AS Unsheltered_2018, - (SUM(U18) - SUM(U15)) / SUM(U15) * 100 AS Percent_Change - FROM homeless_2018 - JOIN homeless_2015 - ON homeless_2018.State_Abbr = homeless_2015.State_Abbr - GROUP BY State_Abbr -), - -average_change AS ( - SELECT AVG(Percent_Change) AS Avg_Change - FROM unsheltered_change -), - -closest_to_avg AS ( - SELECT State_Abbr - FROM unsheltered_change, average_change - ORDER BY ABS(Percent_Change - Avg_Change) - LIMIT 5 -) - -SELECT State_Abbr FROM closest_to_avg; +WITH homeless_2015 AS + (SELECT Unsheltered_Homeless AS U15, + SUBSTR(CoC_Number, 0, 2) AS State_Abbr + FROM `bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc` + WHERE Count_Year = 2015), + homeless_2018 AS + (SELECT Unsheltered_Homeless AS U18, + SUBSTR(CoC_Number, 0, 2) AS State_Abbr + FROM `bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc` + WHERE Count_Year = 2018), + unsheltered_change AS + (SELECT homeless_2018.State_Abbr, + SUM(U15) AS Unsheltered_2015, + SUM(U18) AS Unsheltered_2018, + (SUM(U18) - SUM(U15)) / SUM(U15) * 100 AS Percent_Change + FROM homeless_2018 + JOIN homeless_2015 ON homeless_2018.State_Abbr = homeless_2015.State_Abbr + GROUP BY State_Abbr), + average_change AS + (SELECT AVG(Percent_Change) AS Avg_Change + FROM unsheltered_change), + closest_to_avg AS + (SELECT State_Abbr + FROM unsheltered_change, + average_change + ORDER BY ABS(Percent_Change - Avg_Change) + LIMIT 5) +SELECT State_Abbr +FROM closest_to_avg; diff --git a/spider2/queries/lite_bq396.sql b/spider2/queries/lite_bq396.sql index e7eb8898d2c878e23d1e790839368fd5cb8543a7..6368770bcf0479fe1019707e81947699297135d8 100644 --- a/spider2/queries/lite_bq396.sql +++ b/spider2/queries/lite_bq396.sql @@ -1,39 +1,41 @@ -WITH weekend_accidents AS ( - SELECT - state_name, - CASE - WHEN atmospheric_conditions_1_name = 'Rain' THEN 'Rain' - WHEN atmospheric_conditions_1_name = 'Clear' THEN 'Clear' - ELSE 'Other' - END AS Weather_Condition, - COUNT(DISTINCT consecutive_number) AS num_accidents - FROM - `bigquery-public-data.nhtsa_traffic_fatalities.accident_2016` - WHERE - EXTRACT(DAYOFWEEK FROM timestamp_of_crash) IN (1, 7) -- 1 = Sunday, 7 = Saturday - AND atmospheric_conditions_1_name IN ('Rain', 'Clear') - GROUP BY - state_name, Weather_Condition -), +WITH weekend_accidents AS + (SELECT state_name, + CASE + WHEN atmospheric_conditions_1_name = 'Rain' THEN 'Rain' + WHEN atmospheric_conditions_1_name = 'Clear' THEN 'Clear' + ELSE 'Other' + END AS Weather_Condition, + COUNT(DISTINCT consecutive_number) AS num_accidents + FROM `bigquery-public-data.nhtsa_traffic_fatalities.accident_2016` + WHERE EXTRACT(DAYOFWEEK + FROM timestamp_of_crash) IN (1, + 7)-- 1 = Sunday, 7 = Saturday -weather_difference AS ( - SELECT - state_name, - MAX(CASE WHEN Weather_Condition = 'Rain' THEN num_accidents ELSE 0 END) AS Rain_Accidents, - MAX(CASE WHEN Weather_Condition = 'Clear' THEN num_accidents ELSE 0 END) AS Clear_Accidents, - ABS(MAX(CASE WHEN Weather_Condition = 'Rain' THEN num_accidents ELSE 0 END) - - MAX(CASE WHEN Weather_Condition = 'Clear' THEN num_accidents ELSE 0 END)) AS Difference - FROM - weekend_accidents - GROUP BY - state_name -) - -SELECT - state_name, - Difference -FROM - weather_difference -ORDER BY - Difference DESC + AND atmospheric_conditions_1_name IN ('Rain', + 'Clear') + GROUP BY state_name, + Weather_Condition), + weather_difference AS + (SELECT state_name, + MAX(CASE + WHEN Weather_Condition = 'Rain' THEN num_accidents + ELSE 0 + END) AS Rain_Accidents, + MAX(CASE + WHEN Weather_Condition = 'Clear' THEN num_accidents + ELSE 0 + END) AS Clear_Accidents, + ABS(MAX(CASE + WHEN Weather_Condition = 'Rain' THEN num_accidents + ELSE 0 + END) - MAX(CASE + WHEN Weather_Condition = 'Clear' THEN num_accidents + ELSE 0 + END)) AS Difference + FROM weekend_accidents + GROUP BY state_name) +SELECT state_name, + Difference +FROM weather_difference +ORDER BY Difference DESC LIMIT 3; diff --git a/spider2/queries/lite_bq397.sql b/spider2/queries/lite_bq397.sql index c481c3f33b626c86f5fa15f846062aec34ebfb13..57c1ab656144269ec1d1f4bd5a6aeb0435884119 100644 --- a/spider2/queries/lite_bq397.sql +++ b/spider2/queries/lite_bq397.sql @@ -1,37 +1,32 @@ -WITH tmp AS ( - SELECT DISTINCT * - FROM `data-to-insights.ecommerce.rev_transactions` - -- Removing duplicated values +WITH tmp AS + (SELECT DISTINCT * + FROM `data-to-insights.ecommerce.rev_transactions` -- Removing duplicated values ), -tmp1 AS ( - SELECT - tmp.channelGrouping, - tmp.geoNetwork_country, - SUM(tmp.totals_transactions) AS tt - FROM tmp - GROUP BY 1, 2 -), -tmp2 AS ( - SELECT - channelGrouping, - geoNetwork_country, - SUM(tt) AS TotalTransaction, - COUNT(DISTINCT geoNetwork_country) OVER (PARTITION BY channelGrouping) AS CountryCount - FROM tmp1 - GROUP BY channelGrouping, geoNetwork_country -), -tmp3 AS ( - SELECT - channelGrouping, - geoNetwork_country AS Country, - TotalTransaction, - RANK() OVER (PARTITION BY channelGrouping ORDER BY TotalTransaction DESC) AS rnk - FROM tmp2 - WHERE CountryCount > 1 -) -SELECT - channelGrouping, - Country, - TotalTransaction + tmp1 AS + (SELECT tmp.channelGrouping, + tmp.geoNetwork_country, + SUM(tmp.totals_transactions) AS tt + FROM tmp + GROUP BY 1, + 2), + tmp2 AS + (SELECT channelGrouping, + geoNetwork_country, + SUM(tt) AS TotalTransaction, + COUNT(DISTINCT geoNetwork_country) OVER (PARTITION BY channelGrouping) AS CountryCount + FROM tmp1 + GROUP BY channelGrouping, + geoNetwork_country), + tmp3 AS + (SELECT channelGrouping, + geoNetwork_country AS Country, + TotalTransaction, + RANK() OVER (PARTITION BY channelGrouping + ORDER BY TotalTransaction DESC) AS rnk + FROM tmp2 + WHERE CountryCount > 1) +SELECT channelGrouping, + Country, + TotalTransaction FROM tmp3 WHERE rnk = 1; diff --git a/spider2/queries/lite_bq398.sql b/spider2/queries/lite_bq398.sql index 559d942ad9cc440c94e1fc52c11417579c83670c..f026343acd1ddadb484db37ac6e46a79eb072eaf 100644 --- a/spider2/queries/lite_bq398.sql +++ b/spider2/queries/lite_bq398.sql @@ -1,34 +1,22 @@ -WITH russia_Data as ( -SELECT distinct - id.country_name, - id.value, --format in DataStudio - id.indicator_name -FROM ( - SELECT - country_code, - region - FROM - bigquery-public-data.world_bank_intl_debt.country_summary - WHERE - region != "" ) cs --aggregated countries do not have a region -INNER JOIN ( - SELECT - country_code, - country_name, - value, - indicator_name - FROM - bigquery-public-data.world_bank_intl_debt.international_debt - WHERE true - and country_code = 'RUS' - ) id -ON - cs.country_code = id.country_code -WHERE value is not null -ORDER BY - id.value DESC -) -SELECT - indicator_name +WITH russia_Data AS + (SELECT DISTINCT id.country_name, + id.value, --format in DataStudio + id.indicator_name + FROM + (SELECT country_code, + region + FROM bigquery-PUBLIC-data.world_bank_intl_debt.country_summary + WHERE region != "") cs --aggregated countries do not have a region +INNER JOIN + (SELECT country_code, + country_name, + value, + indicator_name + FROM bigquery-PUBLIC-data.world_bank_intl_debt.international_debt + WHERE TRUE + AND country_code = 'RUS') id ON cs.country_code = id.country_code + WHERE value IS NOT NULL + ORDER BY id.value DESC) +SELECT indicator_name FROM russia_data LIMIT 3; diff --git a/spider2/queries/lite_bq399.sql b/spider2/queries/lite_bq399.sql index 61bb3782d1bca25b4f54861e8c5718eb550e2aa1..1fcc3c2629ebed1ccf6bfc5dae29a5499f00471c 100644 --- a/spider2/queries/lite_bq399.sql +++ b/spider2/queries/lite_bq399.sql @@ -1,49 +1,36 @@ -WITH country_data AS ( - SELECT - country_code, - short_name AS country, - region, - income_group - FROM - bigquery-public-data.world_bank_wdi.country_summary -) -, birth_rate_data AS ( - SELECT - data.country_code, - country_data.country, - country_data.region, - AVG(value) AS avg_birth_rate - FROM - bigquery-public-data.world_bank_wdi.indicators_data data - LEFT JOIN - country_data - ON - data.country_code = country_data.country_code - WHERE - indicator_code = "SP.DYN.CBRT.IN" -- Birth Rate - AND EXTRACT(YEAR FROM PARSE_DATE('%Y', CAST(year AS STRING))) BETWEEN 1980 AND 1989 -- 1980s - AND country_data.income_group = "High income" -- High-income group - GROUP BY - data.country_code, - country_data.country, - country_data.region -) -, ranked_birth_rates AS ( - SELECT - region, - country, - avg_birth_rate, - RANK() OVER(PARTITION BY region ORDER BY avg_birth_rate DESC) AS rank - FROM - birth_rate_data -) -SELECT - region, - country, - avg_birth_rate -FROM - ranked_birth_rates -WHERE - rank = 1 -ORDER BY - region; +WITH country_data AS + (SELECT country_code, + short_name AS country, + region, + income_group + FROM bigquery-PUBLIC-data.world_bank_wdi.country_summary), + birth_rate_data AS + (SELECT data.country_code, + country_data.country, + country_data.region, + AVG(value) AS avg_birth_rate + FROM bigquery-PUBLIC-data.world_bank_wdi.indicators_data DATA + LEFT JOIN country_data ON data.country_code = country_data.country_code + WHERE indicator_code = "SP.DYN.CBRT.IN" -- Birth Rate + + AND EXTRACT(YEAR + FROM PARSE_DATE('%Y', CAST(YEAR AS STRING))) BETWEEN 1980 AND 1989 -- 1980s + + AND country_data.income_group = "High income" -- High-income group + + GROUP BY data.country_code, + country_data.country, + country_data.region), + ranked_birth_rates AS + (SELECT region, + country, + avg_birth_rate, + RANK() OVER(PARTITION BY region + ORDER BY avg_birth_rate DESC) AS rank + FROM birth_rate_data) +SELECT region, + country, + avg_birth_rate +FROM ranked_birth_rates +WHERE rank = 1 +ORDER BY region; diff --git a/spider2/queries/lite_bq400.sql b/spider2/queries/lite_bq400.sql index 23386b49106ded784624a27732c8a022f0ff2c1a..0a29c5a715d9dee0b143e52d93fcd0cf310abe81 100644 --- a/spider2/queries/lite_bq400.sql +++ b/spider2/queries/lite_bq400.sql @@ -1,34 +1,25 @@ -WITH SelectedStops AS ( - SELECT - stop_id, - stop_name - FROM - `bigquery-public-data.san_francisco_transit_muni.stops` - WHERE - stop_name IN ('Clay St & Drumm St', 'Sacramento St & Davis St') -), -FilteredStopTimes AS ( - SELECT - st.trip_id, - st.stop_id, - st.arrival_time, - st.departure_time, - st.stop_sequence, - ss.stop_name - FROM - `bigquery-public-data.san_francisco_transit_muni.stop_times` st - JOIN - SelectedStops ss ON CAST(st.stop_id AS STRING) = ss.stop_id -) -SELECT - t.trip_headsign, - MIN(st1.departure_time) AS start_time, - MAX(st2.arrival_time) AS end_time -FROM - `bigquery-public-data.san_francisco_transit_muni.trips` t -JOIN FilteredStopTimes st1 ON t.trip_id = CAST(st1.trip_id AS STRING) AND st1.stop_name = 'Clay St & Drumm St' -JOIN FilteredStopTimes st2 ON t.trip_id = CAST(st2.trip_id AS STRING) AND st2.stop_name = 'Sacramento St & Davis St' -WHERE - st1.stop_sequence < st2.stop_sequence -GROUP BY - t.trip_headsign; +WITH SelectedStops AS + (SELECT stop_id, + stop_name + FROM `bigquery-public-data.san_francisco_transit_muni.stops` + WHERE stop_name IN ('Clay St & Drumm St', + 'Sacramento St & Davis St')), + FilteredStopTimes AS + (SELECT st.trip_id, + st.stop_id, + st.arrival_time, + st.departure_time, + st.stop_sequence, + ss.stop_name + FROM `bigquery-public-data.san_francisco_transit_muni.stop_times` st + JOIN SelectedStops ss ON CAST(st.stop_id AS STRING) = ss.stop_id) +SELECT t.trip_headsign, + MIN(st1.departure_time) AS start_time, + MAX(st2.arrival_time) AS end_time +FROM `bigquery-public-data.san_francisco_transit_muni.trips` t +JOIN FilteredStopTimes st1 ON t.trip_id = CAST(st1.trip_id AS STRING) +AND st1.stop_name = 'Clay St & Drumm St' +JOIN FilteredStopTimes st2 ON t.trip_id = CAST(st2.trip_id AS STRING) +AND st2.stop_name = 'Sacramento St & Davis St' +WHERE st1.stop_sequence < st2.stop_sequence +GROUP BY t.trip_headsign; diff --git a/spider2/queries/lite_bq402.sql b/spider2/queries/lite_bq402.sql index a5fb8a7482a4e1b0802e9b3c7c1abb94f751c38b..600f69264eb20adcb979696a48b31cc26e0c3773 100644 --- a/spider2/queries/lite_bq402.sql +++ b/spider2/queries/lite_bq402.sql @@ -1,33 +1,17 @@ -WITH visitors AS ( - SELECT - COUNT(DISTINCT fullVisitorId) AS total_visitors - FROM - `data-to-insights.ecommerce.web_analytics` -), - -purchasers AS ( - SELECT - COUNT(DISTINCT fullVisitorId) AS total_purchasers - FROM - `data-to-insights.ecommerce.web_analytics` - WHERE - totals.transactions IS NOT NULL -), - -transactions AS ( - SELECT - COUNT(*) AS total_transactions, - AVG(totals.transactions) AS avg_transactions_per_purchaser - FROM - `data-to-insights.ecommerce.web_analytics` - WHERE - totals.transactions IS NOT NULL -) - -SELECT - p.total_purchasers / v.total_visitors AS conversion_rate, - a.avg_transactions_per_purchaser AS avg_transactions_per_purchaser -FROM - visitors v, - purchasers p, - transactions a; +WITH visitors AS + (SELECT COUNT(DISTINCT fullVisitorId) AS total_visitors + FROM `data-to-insights.ecommerce.web_analytics`), + purchasers AS + (SELECT COUNT(DISTINCT fullVisitorId) AS total_purchasers + FROM `data-to-insights.ecommerce.web_analytics` + WHERE totals.transactions IS NOT NULL), + transactions AS + (SELECT COUNT(*) AS total_transactions, + AVG(totals.transactions) AS avg_transactions_per_purchaser + FROM `data-to-insights.ecommerce.web_analytics` + WHERE totals.transactions IS NOT NULL) +SELECT p.total_purchasers / v.total_visitors AS conversion_rate, + a.avg_transactions_per_purchaser AS avg_transactions_per_purchaser +FROM visitors v, + purchasers p, + transactions a; diff --git a/spider2/queries/lite_bq403.sql b/spider2/queries/lite_bq403.sql index 60610960878c6162677629ca468fbf8072d041e5..259efdb5d661762c5ad2fcf0381d3a57da6d6913 100644 --- a/spider2/queries/lite_bq403.sql +++ b/spider2/queries/lite_bq403.sql @@ -1,51 +1,37 @@ -WITH RankedData AS ( - SELECT - CONCAT("20", _TABLE_SUFFIX) AS year_filed, - totrevenue, - totfuncexpns, - ROW_NUMBER() OVER (PARTITION BY CONCAT("20", _TABLE_SUFFIX) ORDER BY totrevenue) - AS revenue_rank, - ROW_NUMBER() OVER (PARTITION BY CONCAT("20", _TABLE_SUFFIX) ORDER BY totfuncexpns) - AS expense_rank, - COUNT(*) OVER (PARTITION BY CONCAT("20", _TABLE_SUFFIX)) AS total_count - FROM - `bigquery-public-data.irs_990.irs_990_20*` -), - -YearlyMedians AS ( - SELECT - year_filed, - IF(MOD(total_count, 2) = 1, - MAX(CASE WHEN revenue_rank = (total_count + 1) / 2 THEN totrevenue END), - AVG(CASE WHEN revenue_rank IN ((total_count / 2), (total_count / 2) + 1) THEN totrevenue END) - ) AS median_revenue, - IF(MOD(total_count, 2) = 1, - MAX(CASE WHEN expense_rank = (total_count + 1) / 2 THEN totfuncexpns END), - AVG(CASE WHEN expense_rank IN ((total_count / 2), (total_count / 2) + 1) THEN totfuncexpns END) - ) AS median_expense - FROM - RankedData - GROUP BY - year_filed, total_count -), - -DifferenceCalculations AS ( - SELECT - year_filed, - median_revenue, - median_expense, - ABS(median_revenue - median_expense) AS difference - FROM - YearlyMedians -) - -SELECT - year_filed, - difference -FROM - DifferenceCalculations -WHERE - year_filed BETWEEN '2012' AND '2017' -ORDER BY - difference ASC +WITH RankedData AS + (SELECT CONCAT("20", _TABLE_SUFFIX) AS year_filed, + totrevenue, + totfuncexpns, + ROW_NUMBER() OVER (PARTITION BY CONCAT("20", _TABLE_SUFFIX) + ORDER BY totrevenue) AS revenue_rank, + ROW_NUMBER() OVER (PARTITION BY CONCAT("20", _TABLE_SUFFIX) + ORDER BY totfuncexpns) AS expense_rank, + COUNT(*) OVER (PARTITION BY CONCAT("20", _TABLE_SUFFIX)) AS total_count + FROM `bigquery-public-data.irs_990.irs_990_20*`), + YearlyMedians AS + (SELECT year_filed, + IF(MOD(total_count, 2) = 1, MAX(CASE + WHEN revenue_rank = (total_count + 1) / 2 THEN totrevenue + END), AVG(CASE + WHEN revenue_rank IN ((total_count / 2), (total_count / 2) + 1) THEN totrevenue + END)) AS median_revenue, + IF(MOD(total_count, 2) = 1, MAX(CASE + WHEN expense_rank = (total_count + 1) / 2 THEN totfuncexpns + END), AVG(CASE + WHEN expense_rank IN ((total_count / 2), (total_count / 2) + 1) THEN totfuncexpns + END)) AS median_expense + FROM RankedData + GROUP BY year_filed, + total_count), + DifferenceCalculations AS + (SELECT year_filed, + median_revenue, + median_expense, + ABS(median_revenue - median_expense) AS difference + FROM YearlyMedians) +SELECT year_filed, + difference +FROM DifferenceCalculations +WHERE year_filed BETWEEN '2012' AND '2017' +ORDER BY difference ASC LIMIT 3; diff --git a/spider2/queries/lite_bq406.sql b/spider2/queries/lite_bq406.sql index f820dfdb66a5bb0da87dddc4b430fcc60f947f19..2c33d77011c00a4cc78bffd2598883c8287dc2eb 100644 --- a/spider2/queries/lite_bq406.sql +++ b/spider2/queries/lite_bq406.sql @@ -1,26 +1,16 @@ -CREATE TEMP FUNCTION GrowthRate(end_value FLOAT64, begin_value FLOAT64) -RETURNS FLOAT64 -AS ((end_value - begin_value) / begin_value); +CREATE TEMP FUNCTION GrowthRate(end_value FLOAT64, begin_value FLOAT64) RETURNS FLOAT64 AS ((end_value - begin_value) / begin_value); -SELECT - GrowthRate(SUM(IF(report_year=2024, race_asian, 0)), - SUM(IF(report_year=2014, race_asian, 0))) AS race_asian_growth, - GrowthRate(SUM(IF(report_year=2024, race_black, 0)), - SUM(IF(report_year=2014, race_black, 0))) AS race_black_growth, - GrowthRate(SUM(IF(report_year=2024, race_hispanic_latinx, 0)), - SUM(IF(report_year=2014, race_hispanic_latinx, 0))) AS race_hispanic_growth, - GrowthRate(SUM(IF(report_year=2024, race_native_american, 0)), - SUM(IF(report_year=2014, race_native_american, 0))) AS race_native_american_growth, - GrowthRate(SUM(IF(report_year=2024, race_white, 0)), - SUM(IF(report_year=2014, race_white, 0))) AS race_white_growth, - GrowthRate(SUM(IF(report_year=2024, gender_us_women, 0)), - SUM(IF(report_year=2014, gender_us_women, 0))) AS gender_us_women_growth, - GrowthRate(SUM(IF(report_year=2024, gender_us_men, 0)), - SUM(IF(report_year=2014, gender_us_men, 0))) AS gender_us_men_growth, - GrowthRate(SUM(IF(report_year=2024, gender_global_women, 0)), - SUM(IF(report_year=2014, gender_global_women, 0))) AS gender_global_women_growth, - GrowthRate(SUM(IF(report_year=2024, gender_global_men, 0)), - SUM(IF(report_year=2014, gender_global_men, 0))) AS gender_global_men_growth + +SELECT GrowthRate(SUM(IF(report_year=2024, race_asian, 0)), SUM(IF(report_year=2014, race_asian, 0))) AS race_asian_growth, + GrowthRate(SUM(IF(report_year=2024, race_black, 0)), SUM(IF(report_year=2014, race_black, 0))) AS race_black_growth, + GrowthRate(SUM(IF(report_year=2024, race_hispanic_latinx, 0)), SUM(IF(report_year=2014, race_hispanic_latinx, 0))) AS race_hispanic_growth, + GrowthRate(SUM(IF(report_year=2024, race_native_american, 0)), SUM(IF(report_year=2014, race_native_american, 0))) AS race_native_american_growth, + GrowthRate(SUM(IF(report_year=2024, race_white, 0)), SUM(IF(report_year=2014, race_white, 0))) AS race_white_growth, + GrowthRate(SUM(IF(report_year=2024, gender_us_women, 0)), SUM(IF(report_year=2014, gender_us_women, 0))) AS gender_us_women_growth, + GrowthRate(SUM(IF(report_year=2024, gender_us_men, 0)), SUM(IF(report_year=2014, gender_us_men, 0))) AS gender_us_men_growth, + GrowthRate(SUM(IF(report_year=2024, gender_global_women, 0)), SUM(IF(report_year=2014, gender_global_women, 0))) AS gender_global_women_growth, + GrowthRate(SUM(IF(report_year=2024, gender_global_men, 0)), SUM(IF(report_year=2014, gender_global_men, 0))) AS gender_global_men_growth FROM `bigquery-public-data.google_dei.dar_non_intersectional_representation` -WHERE report_year IN (2014, 2024) +WHERE report_year IN (2014, + 2024) AND workforce = 'overall'; diff --git a/spider2/queries/lite_bq407.sql b/spider2/queries/lite_bq407.sql index c8c6b1c257c79ddffacd65d790b0cb4dcb37c9ba..e1abec8950d6ed1f09fc3dc40a58c0aa7f09b87c 100644 --- a/spider2/queries/lite_bq407.sql +++ b/spider2/queries/lite_bq407.sql @@ -1,39 +1,28 @@ -WITH population_data AS ( - SELECT - geo_id, - median_age, - total_pop - FROM - `bigquery-public-data.census_bureau_acs.county_2020_5yr` - WHERE - total_pop > 50000 -), -covid_data AS ( - SELECT - county_fips_code, - county_name, - state, - SUM(confirmed_cases) AS total_cases, - SUM(deaths) AS total_deaths - FROM - `bigquery-public-data.covid19_usafacts.summary` - WHERE - date = '2020-08-27' - GROUP BY - county_fips_code, county_name, state -) -SELECT - covid.county_name, - covid.state, - pop.median_age, - pop.total_pop, - (covid.total_cases / pop.total_pop * 100000) AS confirmed_cases_per_100000, - (covid.total_deaths / pop.total_pop * 100000) AS deaths_per_100000, - (covid.total_deaths / covid.total_cases * 100) AS case_fatality_rate -FROM - covid_data covid -JOIN - population_data pop ON covid.county_fips_code = pop.geo_id -ORDER BY - case_fatality_rate DESC +WITH population_data AS + (SELECT geo_id, + median_age, + total_pop + FROM `bigquery-public-data.census_bureau_acs.county_2020_5yr` + WHERE total_pop > 50000), + covid_data AS + (SELECT county_fips_code, + county_name, + state, + SUM(confirmed_cases) AS total_cases, + SUM(deaths) AS total_deaths + FROM `bigquery-public-data.covid19_usafacts.summary` + WHERE date = '2020-08-27' + GROUP BY county_fips_code, + county_name, + state) +SELECT covid.county_name, + covid.state, + pop.median_age, + pop.total_pop, + (covid.total_cases / pop.total_pop * 100000) AS confirmed_cases_per_100000, + (covid.total_deaths / pop.total_pop * 100000) AS deaths_per_100000, + (covid.total_deaths / covid.total_cases * 100) AS case_fatality_rate +FROM covid_data covid +JOIN population_data pop ON covid.county_fips_code = pop.geo_id +ORDER BY case_fatality_rate DESC LIMIT 3; diff --git a/spider2/queries/lite_bq413.sql b/spider2/queries/lite_bq413.sql index 5b76b6ce9bc6c61558cdba4ba7727f6ce8b56dee..b02a7c4b3ced9492b336de28998715f5fecfb70a 100644 --- a/spider2/queries/lite_bq413.sql +++ b/spider2/queries/lite_bq413.sql @@ -1,14 +1,7 @@ -SELECT - COALESCE(p.journal.title, p.proceedings_title.preferred, p.book_title.preferred, p.book_series_title.preferred) AS venue, -FROM - `bigquery-public-data.dimensions_ai_covid19.publications` p -LEFT JOIN - UNNEST(research_orgs) AS research_orgs_grids -LEFT JOIN - `bigquery-public-data.dimensions_ai_covid19.grid` grid -ON - grid.id=research_orgs_grids -WHERE - EXTRACT(YEAR FROM date_inserted) >= 2021 - AND - grid.address.city = 'Qianjiang' +SELECT COALESCE(p.journal.title, p.proceedings_title.preferred, p.book_title.preferred, p.book_series_title.preferred) AS venue, +FROM `bigquery-public-data.dimensions_ai_covid19.publications` p +LEFT JOIN UNNEST(research_orgs) AS research_orgs_grids +LEFT JOIN `bigquery-public-data.dimensions_ai_covid19.grid` grid ON grid.id=research_orgs_grids +WHERE EXTRACT(YEAR + FROM date_inserted) >= 2021 + AND grid.address.city = 'Qianjiang' diff --git a/spider2/queries/lite_bq414.sql b/spider2/queries/lite_bq414.sql index 8dd60482557d208c007d7742c8b97cc499b67589..2bc8e1e381eccec8be6c2e82e8ade5df82104c52 100644 --- a/spider2/queries/lite_bq414.sql +++ b/spider2/queries/lite_bq414.sql @@ -1,15 +1,12 @@ -SELECT - a.object_id, - a.title, - FORMAT_TIMESTAMP('%Y-%m-%d', a.metadata_date) AS formatted_metadata_date +SELECT a.object_id, + a.title, + FORMAT_TIMESTAMP('%Y-%m-%d', a.metadata_date) AS formatted_metadata_date FROM `bigquery-public-data.the_met.objects` a -JOIN ( - SELECT object_id, - cropHints.confidence AS cropConfidence - FROM `bigquery-public-data.the_met.vision_api_data`, - UNNEST(cropHintsAnnotation.cropHints) cropHints -) b -ON a.object_id = b.object_id +JOIN + (SELECT object_id, + cropHints.confidence AS cropConfidence + FROM `bigquery-public-data.the_met.vision_api_data`, + UNNEST(cropHintsAnnotation.cropHints) cropHints) b ON a.object_id = b.object_id WHERE a.department = "The Libraries" -AND b.cropConfidence > 0.5 -AND a.title LIKE "%book%" + AND b.cropConfidence > 0.5 + AND a.title LIKE "%book%" diff --git a/spider2/queries/lite_bq419.sql b/spider2/queries/lite_bq419.sql index a16f846326ce40bb5f4d734fff03de48eb8ec268..d905fa6d666233a2e3c0e35fe23d2c36939918e9 100644 --- a/spider2/queries/lite_bq419.sql +++ b/spider2/queries/lite_bq419.sql @@ -1,115 +1,119 @@ -WITH s80 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1980` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), -s81 as -(SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1981` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), -s82 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1982` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s83 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1983` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s84 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1984` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s85 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1985` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s86 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1986` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s87 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1987` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s88 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1988` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s89 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1989` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s90 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1990` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s91 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1991` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), -s92 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1992` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s93 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1993` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s94 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1994` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000), - -s95 as - (SELECT state, COUNT(event_id) as num_events - FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1995` - GROUP BY state - ORDER BY num_events DESC - LIMIT 1000) - -SELECT s80.state, -s80.num_events + s81.num_events + s82.num_events + s83.num_events + s84.num_events + s85.num_events + s86.num_events + s87.num_events + s88.num_events + s89.num_events + s90.num_events + s91.num_events + s92.num_events + s93.num_events + s94.num_events + s95.num_events as total_events -FROM s80 FULL JOIN s81 ON s80.state = s81.state +WITH s80 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1980` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s81 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1981` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s82 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1982` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s83 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1983` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s84 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1984` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s85 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1985` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s86 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1986` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s87 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1987` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s88 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1988` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s89 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1989` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s90 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1990` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s91 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1991` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s92 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1992` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s93 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1993` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s94 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1994` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000), + s95 AS + (SELECT state, + COUNT(event_id) AS num_events + FROM `bigquery-public-data.noaa_historic_severe_storms.storms_1995` + GROUP BY state + ORDER BY num_events DESC + LIMIT 1000) +SELECT s80.state, + s80.num_events + s81.num_events + s82.num_events + s83.num_events + s84.num_events + s85.num_events + s86.num_events + s87.num_events + s88.num_events + s89.num_events + s90.num_events + s91.num_events + s92.num_events + s93.num_events + s94.num_events + s95.num_events AS total_events +FROM s80 +FULL JOIN s81 ON s80.state = s81.state FULL JOIN s82 ON s82.state = s81.state FULL JOIN s83 ON s83.state = s81.state FULL JOIN s84 ON s84.state = s81.state @@ -119,11 +123,10 @@ FULL JOIN s87 ON s87.state = s81.state FULL JOIN s88 ON s88.state = s81.state FULL JOIN s89 ON s89.state = s81.state FULL JOIN s90 ON s90.state = s81.state -FULL JOIN s91 ON s91.state = s81.state +FULL JOIN s91 ON s91.state = s81.state FULL JOIN s92 ON s92.state = s81.state FULL JOIN s93 ON s93.state = s81.state FULL JOIN s94 ON s94.state = s81.state FULL JOIN s95 ON s95.state = s81.state - ORDER BY total_events DESC LIMIT 5; diff --git a/spider2/queries/lite_bq424.sql b/spider2/queries/lite_bq424.sql index 065a7fc4fbb9a9af69d0d7ae05079faa688e6130..97b49b9525e53065076ccb688e437159d8189ab6 100644 --- a/spider2/queries/lite_bq424.sql +++ b/spider2/queries/lite_bq424.sql @@ -1,29 +1,16 @@ -SELECT DISTINCT - id.country_name, - --cs.region, - id.value AS debt, - --id.indicator_code -FROM ( - SELECT - country_code, - region - FROM - `bigquery-public-data.world_bank_intl_debt.country_summary` - WHERE - region != "" ) cs -INNER JOIN ( - SELECT - country_code, - country_name, - value, - indicator_code - FROM - `bigquery-public-data.world_bank_intl_debt.international_debt` - WHERE - indicator_code = "DT.AMT.DLXF.CD") id - -ON - cs.country_code = id.country_code -ORDER BY - id.value DESC - LIMIT 10 +SELECT DISTINCT id.country_name, --cs.region, + id.value AS debt, --id.indicator_code +FROM + (SELECT country_code, + region + FROM `bigquery-public-data.world_bank_intl_debt.country_summary` + WHERE region != "") cs +INNER JOIN + (SELECT country_code, + country_name, + value, + indicator_code + FROM `bigquery-public-data.world_bank_intl_debt.international_debt` + WHERE indicator_code = "DT.AMT.DLXF.CD") id ON cs.country_code = id.country_code +ORDER BY id.value DESC +LIMIT 10 diff --git a/spider2/queries/lite_bq425.sql b/spider2/queries/lite_bq425.sql index 947bd78706cd6645083ded6f1ab0a088ea838883..938f2da5fcb267e3c031e53fb6abbb7ed5e3119c 100644 --- a/spider2/queries/lite_bq425.sql +++ b/spider2/queries/lite_bq425.sql @@ -1,15 +1,15 @@ SELECT * - FROM ( - SELECT - molregno, - comp.company, - prod.trade_name, - prod.approval_date, - ROW_NUMBER() OVER(PARTITION BY molregno ORDER BY PARSE_DATE('%Y-%m-%d', prod.approval_date) DESC) rn - FROM bigquery-public-data.ebi_chembl.compound_records_23 AS cmpd_rec - JOIN bigquery-public-data.ebi_chembl.molecule_synonyms_23 AS ms USING (molregno) - JOIN bigquery-public-data.ebi_chembl.research_companies_23 AS comp USING (res_stem_id) - JOIN bigquery-public-data.ebi_chembl.formulations_23 AS form USING (molregno) - JOIN bigquery-public-data.ebi_chembl.products_23 AS prod USING (product_id) - ) as subq - WHERE rn = 1 AND company = 'SanofiAventis' +FROM + (SELECT molregno, + comp.company, + prod.trade_name, + prod.approval_date, + ROW_NUMBER() OVER(PARTITION BY molregno + ORDER BY PARSE_DATE('%Y-%m-%d', prod.approval_date) DESC) rn + FROM bigquery-PUBLIC-data.ebi_chembl.compound_records_23 AS cmpd_rec + JOIN bigquery-PUBLIC-data.ebi_chembl.molecule_synonyms_23 AS ms USING (molregno) + JOIN bigquery-PUBLIC-data.ebi_chembl.research_companies_23 AS comp USING (res_stem_id) + JOIN bigquery-PUBLIC-data.ebi_chembl.formulations_23 AS form USING (molregno) + JOIN bigquery-PUBLIC-data.ebi_chembl.products_23 AS prod USING (product_id)) AS subq +WHERE rn = 1 + AND company = 'SanofiAventis' diff --git a/spider2/queries/lite_bq428.sql b/spider2/queries/lite_bq428.sql index d27b89901db24a389927331b1cc6371127f1f6d8..fc89c9e37f4882e756bd36cbd29b6945d3ae69c9 100644 --- a/spider2/queries/lite_bq428.sql +++ b/spider2/queries/lite_bq428.sql @@ -1,71 +1,59 @@ -WITH top_teams AS ( - SELECT - team_market - FROM ( - SELECT - team_market, - player_id AS id, - SUM(points_scored) - FROM - `bigquery-public-data.ncaa_basketball.mbb_pbp_sr` - WHERE - season >= 2010 AND season <=2018 AND period = 2 - GROUP BY - game_id, - team_market, - player_id - HAVING - SUM(points_scored) >= 15) C - GROUP BY - team_market - HAVING - COUNT(DISTINCT id) > 5 - ORDER BY - COUNT(DISTINCT id) DESC - LIMIT 5 -) - - -SELECT - season, - round, - days_from_epoch, - game_date, - day, - 'win' AS label, - win_seed AS seed, - win_market AS market, - win_name AS name, - win_alias AS alias, - win_school_ncaa AS school_ncaa, - lose_seed AS opponent_seed, - lose_market AS opponent_market, - lose_name AS opponent_name, - lose_alias AS opponent_alias, - lose_school_ncaa AS opponent_school_ncaa +WITH top_teams AS + (SELECT team_market + FROM + (SELECT team_market, + player_id AS id, + SUM(points_scored) + FROM `bigquery-public-data.ncaa_basketball.mbb_pbp_sr` + WHERE season >= 2010 + AND season <=2018 + AND period = 2 + GROUP BY game_id, + team_market, + player_id + HAVING SUM(points_scored) >= 15) C + GROUP BY team_market + HAVING COUNT(DISTINCT id) > 5 + ORDER BY COUNT(DISTINCT id) DESC + LIMIT 5) +SELECT season, + round, + days_from_epoch, + game_date, + DAY, + 'win' AS label, + win_seed AS seed, + win_market AS market, + win_name AS name, + win_alias AS ALIAS, + win_school_ncaa AS school_ncaa, + lose_seed AS opponent_seed, + lose_market AS opponent_market, + lose_name AS opponent_name, + lose_alias AS opponent_alias, + lose_school_ncaa AS opponent_school_ncaa FROM `bigquery-public-data.ncaa_basketball.mbb_historical_tournament_games` JOIN top_teams ON top_teams.team_market = win_market -WHERE season >= 2010 AND season <=2018 - +WHERE season >= 2010 + AND season <=2018 UNION ALL - -SELECT - season, - round, - days_from_epoch, - game_date, - day, - 'loss' AS label, - lose_seed AS seed, - lose_market AS market, - lose_name AS name, - lose_alias AS alias, - lose_school_ncaa AS school_ncaa, - win_seed AS opponent_seed, - win_market AS opponent_market, - win_name AS opponent_name, - win_alias AS opponent_alias, - win_school_ncaa AS opponent_school_ncaa +SELECT season, + round, + days_from_epoch, + game_date, + DAY, + 'loss' AS label, + lose_seed AS seed, + lose_market AS market, + lose_name AS name, + lose_alias AS ALIAS, + lose_school_ncaa AS school_ncaa, + win_seed AS opponent_seed, + win_market AS opponent_market, + win_name AS opponent_name, + win_alias AS opponent_alias, + win_school_ncaa AS opponent_school_ncaa FROM `bigquery-public-data.ncaa_basketball.mbb_historical_tournament_games` JOIN top_teams ON top_teams.team_market = lose_market -WHERE season >= 2010 AND season <=2018 +WHERE season >= 2010 + AND season <=2018 diff --git a/spider2/queries/lite_bq430.sql b/spider2/queries/lite_bq430.sql index fc36269516ed000c87e98e751df513387666557d..e7706853578fe2e51a72839004a79d7e3b835435 100644 --- a/spider2/queries/lite_bq430.sql +++ b/spider2/queries/lite_bq430.sql @@ -1,89 +1,84 @@ -select - -- *, - greatest(heavy_atoms_1, heavy_atoms_2) as heavy_atoms_greatest, - greatest(publication_date_1, publication_date_2) as publication_date_greatest, - greatest(doc_id_1, doc_id_2) as doc_id_greatest, - case - when - standard_value_1 > standard_value_2 and - standard_relation_1 not in ('<', '<<') and - standard_relation_2 not in ('>', '>>') - then 'decrease' - when - standard_value_1 < standard_value_2 and - standard_relation_1 not in ('>', '>>') and - standard_relation_2 not in ('<', '<<') - then 'increase' - when - standard_value_1 = standard_value_2 and - standard_relation_1 in ('=', '~') and - standard_relation_2 in ('=', '~') - then 'no-change' - else null - end as standard_change, - to_hex(md5(to_json_string(struct(activity_id_1, activity_id_2)))) as mmp_delta_uuid, - to_hex(md5(to_json_string(struct(canonical_smiles_1, canonical_smiles_2, 5)))) as mmp_search_uuid -from ( - select - act.assay_id, - act.standard_type, - act.activity_id as activity_id_1, - cast(act.standard_value as numeric) as standard_value_1, - act.standard_relation as standard_relation_1, - cast(act.pchembl_value as numeric) as pchembl_value_1, - count(*) over (partition by act.assay_id) as count_activities_1, - count(*) over (partition by act.assay_id, act.molregno) as duplicate_activities_1, - act.molregno as molregno_1, - com.canonical_smiles as canonical_smiles_1, - cast(cmp.heavy_atoms as int64) as heavy_atoms_1, - cast(d.doc_id as int64) as doc_id_1, - date( - coalesce(cast(d.year as int64), 1970), - coalesce(cast(floor(percent_rank() over ( - partition by d.journal, d.year order by SAFE_CAST(d.first_page as int64)) * 11) as int64) + 1, 1), - coalesce(mod(cast(floor(percent_rank() over ( - partition by d.journal, d.year order by SAFE_CAST(d.first_page as int64)) * 308) as int64), 28) + 1, 1)) as publication_date_1 - FROM `bigquery-public-data.ebi_chembl.activities_29` act - join `bigquery-public-data.ebi_chembl.compound_structures_29` com using (molregno) - join `bigquery-public-data.ebi_chembl.compound_properties_29` cmp using (molregno) - left join `bigquery-public-data.ebi_chembl.docs_29` d using (doc_id) - where standard_type in (select distinct standard_type from`bigquery-public-data.ebi_chembl.activities_29` where pchembl_value is not null) - ) a1 -join ( - select - act.assay_id, - act.standard_type, - act.activity_id as activity_id_2, - cast(act.standard_value as numeric) as standard_value_2, - act.standard_relation as standard_relation_2, - cast(act.pchembl_value as numeric) as pchembl_value_2, - count(*) over (partition by act.assay_id) as count_activities_2, - count(*) over (partition by act.assay_id, act.molregno) as duplicate_activities_2, - act.molregno as molregno_2, - com.canonical_smiles as canonical_smiles_2, - cast(cmp.heavy_atoms as int64) as heavy_atoms_2, - cast(d.doc_id as int64) as doc_id_2, - date( - coalesce(cast(d.year as int64), 1970), - coalesce(cast(floor(percent_rank() over ( - partition by d.journal, d.year order by SAFE_CAST(d.first_page as int64)) * 11) as int64) + 1, 1), - coalesce(mod(cast(floor(percent_rank() over ( - partition by d.journal, d.year order by SAFE_CAST(d.first_page as int64)) * 308) as int64), 28) + 1, 1)) as publication_date_2 - FROM `bigquery-public-data.ebi_chembl.activities_29` act - join `bigquery-public-data.ebi_chembl.compound_structures_29` com using (molregno) - join `bigquery-public-data.ebi_chembl.compound_properties_29` cmp using (molregno) - left join `bigquery-public-data.ebi_chembl.docs_29` d using (doc_id) - where standard_type in (select distinct standard_type from`bigquery-public-data.ebi_chembl.activities_29` where pchembl_value is not null) - ) a2 using (assay_id, standard_type) -where - a1.molregno_1 != a2.molregno_2 and - a1.count_activities_1 < 5 and - a2.count_activities_2 < 5 and - a1.heavy_atoms_1 between 10 and 15 and - a2.heavy_atoms_2 between 10 and 15 and - a1.standard_value_1 is not null and - a2.standard_value_2 is not null and - a1.duplicate_activities_1 < 2 and - a2.duplicate_activities_2 < 2 and - a1.pchembl_value_1 > 10 and - a2.pchembl_value_2 > 10 +SELECT -- *, + greatest(heavy_atoms_1, heavy_atoms_2) AS heavy_atoms_greatest, + greatest(publication_date_1, publication_date_2) AS publication_date_greatest, + greatest(doc_id_1, doc_id_2) AS doc_id_greatest, + CASE + WHEN standard_value_1 > standard_value_2 + AND standard_relation_1 NOT IN ('<', + '<<') + AND standard_relation_2 NOT IN ('>', + '>>') THEN 'decrease' + WHEN standard_value_1 < standard_value_2 + AND standard_relation_1 NOT IN ('>', + '>>') + AND standard_relation_2 NOT IN ('<', + '<<') THEN 'increase' + WHEN standard_value_1 = standard_value_2 + AND standard_relation_1 IN ('=', + '~') + AND standard_relation_2 IN ('=', + '~') THEN 'no-change' + ELSE NULL + END AS standard_change, + to_hex(md5(to_json_string(struct(activity_id_1, activity_id_2)))) AS mmp_delta_uuid, + to_hex(md5(to_json_string(struct(canonical_smiles_1, canonical_smiles_2, 5)))) AS mmp_search_uuid +FROM + (SELECT act.assay_id, + act.standard_type, + act.activity_id AS activity_id_1, + cast(act.standard_value AS numeric) AS standard_value_1, + act.standard_relation AS standard_relation_1, + cast(act.pchembl_value AS numeric) AS pchembl_value_1, + count(*) OVER (PARTITION BY act.assay_id) AS count_activities_1, + count(*) OVER (PARTITION BY act.assay_id, act.molregno) AS duplicate_activities_1, + act.molregno AS molregno_1, + com.canonical_smiles AS canonical_smiles_1, + cast(cmp.heavy_atoms AS int64) AS heavy_atoms_1, + cast(d.doc_id AS int64) AS doc_id_1, + date(coalesce(cast(d.year AS int64), 1970), coalesce(cast(floor(percent_rank() OVER (PARTITION BY d.journal, d.year + ORDER BY SAFE_CAST(d.first_page AS int64)) * 11) AS int64) + 1, 1), coalesce(mod(cast(floor(percent_rank() OVER (PARTITION BY d.journal, d.year + ORDER BY SAFE_CAST(d.first_page AS int64)) * 308) AS int64), 28) + 1, 1)) AS publication_date_1 + FROM `bigquery-public-data.ebi_chembl.activities_29` act + JOIN `bigquery-public-data.ebi_chembl.compound_structures_29` com USING (molregno) + JOIN `bigquery-public-data.ebi_chembl.compound_properties_29` CMP USING (molregno) + LEFT JOIN `bigquery-public-data.ebi_chembl.docs_29` d USING (doc_id) + WHERE standard_type IN + (SELECT DISTINCT standard_type + FROM`bigquery-public-data.ebi_chembl.activities_29` + WHERE pchembl_value IS NOT NULL)) a1 +JOIN + (SELECT act.assay_id, + act.standard_type, + act.activity_id AS activity_id_2, + cast(act.standard_value AS numeric) AS standard_value_2, + act.standard_relation AS standard_relation_2, + cast(act.pchembl_value AS numeric) AS pchembl_value_2, + count(*) OVER (PARTITION BY act.assay_id) AS count_activities_2, + count(*) OVER (PARTITION BY act.assay_id, act.molregno) AS duplicate_activities_2, + act.molregno AS molregno_2, + com.canonical_smiles AS canonical_smiles_2, + cast(cmp.heavy_atoms AS int64) AS heavy_atoms_2, + cast(d.doc_id AS int64) AS doc_id_2, + date(coalesce(cast(d.year AS int64), 1970), coalesce(cast(floor(percent_rank() OVER (PARTITION BY d.journal, d.year + ORDER BY SAFE_CAST(d.first_page AS int64)) * 11) AS int64) + 1, 1), coalesce(mod(cast(floor(percent_rank() OVER (PARTITION BY d.journal, d.year + ORDER BY SAFE_CAST(d.first_page AS int64)) * 308) AS int64), 28) + 1, 1)) AS publication_date_2 + FROM `bigquery-public-data.ebi_chembl.activities_29` act + JOIN `bigquery-public-data.ebi_chembl.compound_structures_29` com USING (molregno) + JOIN `bigquery-public-data.ebi_chembl.compound_properties_29` CMP USING (molregno) + LEFT JOIN `bigquery-public-data.ebi_chembl.docs_29` d USING (doc_id) + WHERE standard_type IN + (SELECT DISTINCT standard_type + FROM`bigquery-public-data.ebi_chembl.activities_29` + WHERE pchembl_value IS NOT NULL)) a2 USING (assay_id, + standard_type) +WHERE a1.molregno_1 != a2.molregno_2 + AND a1.count_activities_1 < 5 + AND a2.count_activities_2 < 5 + AND a1.heavy_atoms_1 BETWEEN 10 AND 15 + AND a2.heavy_atoms_2 BETWEEN 10 AND 15 + AND a1.standard_value_1 IS NOT NULL + AND a2.standard_value_2 IS NOT NULL + AND a1.duplicate_activities_1 < 2 + AND a2.duplicate_activities_2 < 2 + AND a1.pchembl_value_1 > 10 + AND a2.pchembl_value_2 > 10 diff --git a/spider2/queries/lite_bq442.sql b/spider2/queries/lite_bq442.sql index a14934f68d6bdc14fa0f1531b2f58ba369c7c438..c7164667dd5c32af6bc7bc9645400c666a906034 100644 --- a/spider2/queries/lite_bq442.sql +++ b/spider2/queries/lite_bq442.sql @@ -1,32 +1,22 @@ -SELECT - OrderID AS tradeID, - MaturityDate AS tradeTimestamp, - ( - CASE SUBSTR(TargetCompID, 0, 4) - WHEN 'MOMO' THEN 'Momentum' - WHEN 'LUCK' THEN 'Feeling Lucky' - WHEN 'PRED' THEN 'Prediction' - END - ) AS algorithm, - Symbol AS symbol, - LastPx AS openPrice, - StrikePrice AS closePrice, - ( - SELECT - Side - FROM - UNNEST(Sides) - ) AS tradeDirection, - (CASE ( - SELECT - Side - FROM - UNNEST(Sides)) - WHEN 'SHORT' THEN -1 - WHEN 'LONG' THEN 1 - END - ) AS tradeMultiplier -FROM - `bigquery-public-data.cymbal_investments.trade_capture_report`cv +SELECT OrderID AS tradeID, + MaturityDate AS tradeTimestamp, + (CASE SUBSTR(TargetCompID, 0, 4) + WHEN 'MOMO' THEN 'Momentum' + WHEN 'LUCK' THEN 'Feeling Lucky' + WHEN 'PRED' THEN 'Prediction' + END) AS algorithm, + Symbol AS symbol, + LastPx AS openPrice, + StrikePrice AS closePrice, + + (SELECT Side + FROM UNNEST(Sides)) AS tradeDirection, + (CASE + (SELECT Side + FROM UNNEST(Sides)) + WHEN 'SHORT' THEN -1 + WHEN 'LONG' THEN 1 + END) AS tradeMultiplier +FROM `bigquery-public-data.cymbal_investments.trade_capture_report`cv ORDER BY closePrice DESC LIMIT 6 diff --git a/spider2/queries/lite_bq452.sql b/spider2/queries/lite_bq452.sql index ab905d380fd5454136d9f4a708a926c829408d4d..7da153c1ba8ba8439cf9be3b2367cc3c95a1680c 100644 --- a/spider2/queries/lite_bq452.sql +++ b/spider2/queries/lite_bq452.sql @@ -1,68 +1,47 @@ SELECT * -FROM ( - SELECT - `start`, - `end`, - ROUND( - POW(ABS(case_ref_count - (ref_count / allele_count) * case_count) - 0.5, 2) / ((ref_count / allele_count) * case_count) + - POW(ABS(control_ref_count - (ref_count / allele_count) * control_count) - 0.5, 2) / ((ref_count / allele_count) * control_count) + - POW(ABS(case_alt_count - (alt_count / allele_count) * case_count) - 0.5, 2) / ((alt_count / allele_count) * case_count) + - POW(ABS(control_alt_count - (alt_count / allele_count) * control_count) - 0.5, 2) / ((alt_count / allele_count) * control_count), - 3 - ) AS chi_squared_score - FROM ( - SELECT - reference_name, - `start`, - `end`, - reference_bases, - alternate_bases, - vt, - SUM(ref_count + alt_count) AS allele_count, - SUM(ref_count) AS ref_count, - SUM(alt_count) AS alt_count, - SUM(IF(is_case, CAST(ref_count + alt_count AS INT64), 0)) AS case_count, - SUM(IF(NOT is_case, CAST(ref_count + alt_count AS INT64), 0)) AS control_count, - SUM(IF(is_case, ref_count, 0)) AS case_ref_count, - SUM(IF(is_case, alt_count, 0)) AS case_alt_count, - SUM(IF(NOT is_case, ref_count, 0)) AS control_ref_count, - SUM(IF(NOT is_case, alt_count, 0)) AS control_alt_count - FROM ( - SELECT - v.reference_name, - v.`start`, - v.`end`, - v.reference_bases, - v.alternate_bases, - v.vt, - ('EAS' = p.super_population) AS is_case, - IF(call.genotype[SAFE_OFFSET(0)] = 0, 1, 0) AS ref_count, - IF(call.genotype[SAFE_OFFSET(0)] = 1, 1, 0) AS alt_count +FROM + (SELECT `start`, + `end`, + ROUND(POW(ABS(case_ref_count - (ref_count / allele_count) * case_count) - 0.5, 2) / ((ref_count / allele_count) * case_count) + POW(ABS(control_ref_count - (ref_count / allele_count) * control_count) - 0.5, 2) / ((ref_count / allele_count) * control_count) + POW(ABS(case_alt_count - (alt_count / allele_count) * case_count) - 0.5, 2) / ((alt_count / allele_count) * case_count) + POW(ABS(control_alt_count - (alt_count / allele_count) * control_count) - 0.5, 2) / ((alt_count / allele_count) * control_count), 3) AS chi_squared_score + FROM + (SELECT reference_name, + `start`, + `end`, + reference_bases, + alternate_bases, + vt, + SUM(ref_count + alt_count) AS allele_count, + SUM(ref_count) AS ref_count, + SUM(alt_count) AS alt_count, + SUM(IF(is_case, CAST(ref_count + alt_count AS INT64), 0)) AS case_count, + SUM(IF(NOT is_case, CAST(ref_count + alt_count AS INT64), 0)) AS control_count, + SUM(IF(is_case, ref_count, 0)) AS case_ref_count, + SUM(IF(is_case, alt_count, 0)) AS case_alt_count, + SUM(IF(NOT is_case, ref_count, 0)) AS control_ref_count, + SUM(IF(NOT is_case, alt_count, 0)) AS control_alt_count FROM - `spider2-public-data.1000_genomes.variants` AS v, - UNNEST(v.call) AS call - JOIN - `spider2-public-data.1000_genomes.sample_info` AS p - ON - call.call_set_name = p.sample - WHERE - v.reference_name = '12' - ) - GROUP BY - reference_name, - `start`, - `end`, - reference_bases, - alternate_bases, - vt - ) - WHERE - (ref_count / allele_count) * case_count >= 5.0 - AND (ref_count / allele_count) * control_count >= 5.0 - AND (alt_count / allele_count) * case_count >= 5.0 - AND (alt_count / allele_count) * control_count >= 5.0 -) -WHERE - chi_squared_score >= 29.71679 -ORDER BY - chi_squared_score DESC + (SELECT v.reference_name, + v.`start`, + v.`end`, + v.reference_bases, + v.alternate_bases, + v.vt, + ('EAS' = p.super_population) AS is_case, + IF(call.genotype[SAFE_OFFSET(0)] = 0, 1, 0) AS ref_count, + IF(call.genotype[SAFE_OFFSET(0)] = 1, 1, 0) AS alt_count + FROM `spider2-public-data.1000_genomes.variants` AS v, + UNNEST(v.call) AS CALL + JOIN `spider2-public-data.1000_genomes.sample_info` AS p ON call.call_set_name = p.sample + WHERE v.reference_name = '12') + GROUP BY reference_name, + `start`, + `end`, + reference_bases, + alternate_bases, + vt) + WHERE (ref_count / allele_count) * case_count >= 5.0 + AND (ref_count / allele_count) * control_count >= 5.0 + AND (alt_count / allele_count) * case_count >= 5.0 + AND (alt_count / allele_count) * control_count >= 5.0) +WHERE chi_squared_score >= 29.71679 +ORDER BY chi_squared_score DESC diff --git a/spider2/queries/lite_bq453.sql b/spider2/queries/lite_bq453.sql index fbf5fe41a659a11985b2d6e49ec0443bcaaca64a..d961e746b99f50b75285f930c8fb48407ae8359d 100644 --- a/spider2/queries/lite_bq453.sql +++ b/spider2/queries/lite_bq453.sql @@ -1,85 +1,79 @@ -SELECT - reference_name, - start, - `END`, - reference_bases, - alt, - vt, - POW(hom_ref_count - expected_hom_ref_count, 2) / expected_hom_ref_count + - POW(hom_alt_count - expected_hom_alt_count, 2) / expected_hom_alt_count + - POW(het_count - expected_het_count, 2) / expected_het_count AS chi_squared_score, - total_count, - hom_ref_count, - expected_hom_ref_count AS expected_hom_ref_count, - het_count, - expected_het_count AS expected_het_count, - hom_alt_count, - expected_hom_alt_count AS expected_hom_alt_count, - alt_freq AS alt_freq, - alt_freq_from_1KG -FROM ( - SELECT - reference_name, - start, - `END`, - reference_bases, - alt, - vt, - alt_freq_from_1KG, - hom_ref_freq + (0.5 * het_freq) AS hw_ref_freq, - 1 - (hom_ref_freq + (0.5 * het_freq)) AS alt_freq, - POW(hom_ref_freq + (0.5 * het_freq), 2) * total_count AS expected_hom_ref_count, - POW(1 - (hom_ref_freq + (0.5 * het_freq)), 2) * total_count AS expected_hom_alt_count, - 2 * (hom_ref_freq + (0.5 * het_freq)) * (1 - (hom_ref_freq + (0.5 * het_freq))) * total_count AS expected_het_count, - total_count, - hom_ref_count, - het_count, - hom_alt_count, - hom_ref_freq, - het_freq, - hom_alt_freq - FROM ( - SELECT - reference_name, - start, - `END`, - reference_bases, - STRING_AGG(DISTINCT alternate_base) AS alt, - vt, - af AS alt_freq_from_1KG, - COUNTIF(first_allele IN (0, 1) AND second_allele IN (0, 1)) AS total_count, - COUNTIF(first_allele = 0 AND second_allele = 0) AS hom_ref_count, - COUNTIF((first_allele = 0 AND second_allele = 1) OR (first_allele = 1 AND second_allele = 0)) AS het_count, - COUNTIF(first_allele = 1 AND second_allele = 1) AS hom_alt_count, - SAFE_DIVIDE(COUNTIF(first_allele = 0 AND second_allele = 0), COUNTIF(first_allele IN (0, 1) AND second_allele IN (0, 1))) AS hom_ref_freq, - SAFE_DIVIDE(COUNTIF((first_allele = 0 AND second_allele = 1) OR (first_allele = 1 AND second_allele = 0)), COUNTIF(first_allele IN (0, 1) AND second_allele IN (0, 1))) AS het_freq, - SAFE_DIVIDE(COUNTIF(first_allele = 1 AND second_allele = 1), COUNTIF(first_allele IN (0, 1) AND second_allele IN (0, 1))) AS hom_alt_freq - FROM ( - SELECT - reference_name, - start, - `END`, - reference_bases, - vt, - af, - call.call_set_name, - call.genotype[OFFSET(0)] AS first_allele, - call.genotype[OFFSET(1)] AS second_allele, - alternate_base +SELECT reference_name, +START, `END`, + reference_bases, + alt, + vt, + POW(hom_ref_count - expected_hom_ref_count, 2) / expected_hom_ref_count + POW(hom_alt_count - expected_hom_alt_count, 2) / expected_hom_alt_count + POW(het_count - expected_het_count, 2) / expected_het_count AS chi_squared_score, + total_count, + hom_ref_count, + expected_hom_ref_count AS expected_hom_ref_count, + het_count, + expected_het_count AS expected_het_count, + hom_alt_count, + expected_hom_alt_count AS expected_hom_alt_count, + alt_freq AS alt_freq, + alt_freq_from_1KG +FROM + (SELECT reference_name, START, `END`, + reference_bases, + alt, + vt, + alt_freq_from_1KG, + hom_ref_freq + (0.5 * het_freq) AS hw_ref_freq, + 1 - (hom_ref_freq + (0.5 * het_freq)) AS alt_freq, + POW(hom_ref_freq + (0.5 * het_freq), 2) * total_count AS expected_hom_ref_count, + POW(1 - (hom_ref_freq + (0.5 * het_freq)), 2) * total_count AS expected_hom_alt_count, + 2 * (hom_ref_freq + (0.5 * het_freq)) * (1 - (hom_ref_freq + (0.5 * het_freq))) * total_count AS expected_het_count, + total_count, + hom_ref_count, + het_count, + hom_alt_count, + hom_ref_freq, + het_freq, + hom_alt_freq + FROM + (SELECT reference_name, START, `END`, + reference_bases, + STRING_AGG(DISTINCT alternate_base) AS alt, + vt, + af AS alt_freq_from_1KG, + COUNTIF(first_allele IN (0, 1) + AND second_allele IN (0, 1)) AS total_count, + COUNTIF(first_allele = 0 + AND second_allele = 0) AS hom_ref_count, + COUNTIF((first_allele = 0 + AND second_allele = 1) + OR (first_allele = 1 + AND second_allele = 0)) AS het_count, + COUNTIF(first_allele = 1 + AND second_allele = 1) AS hom_alt_count, + SAFE_DIVIDE(COUNTIF(first_allele = 0 + AND second_allele = 0), COUNTIF(first_allele IN (0, 1) + AND second_allele IN (0, 1))) AS hom_ref_freq, + SAFE_DIVIDE(COUNTIF((first_allele = 0 + AND second_allele = 1) + OR (first_allele = 1 + AND second_allele = 0)), COUNTIF(first_allele IN (0, 1) + AND second_allele IN (0, 1))) AS het_freq, + SAFE_DIVIDE(COUNTIF(first_allele = 1 + AND second_allele = 1), COUNTIF(first_allele IN (0, 1) + AND second_allele IN (0, 1))) AS hom_alt_freq FROM - `spider2-public-data.1000_genomes.variants`, - UNNEST(call) AS call, - UNNEST(alternate_bases) AS alternate_base - WHERE - reference_name = '17' - AND start BETWEEN 41196311 AND 41277499 - ) - GROUP BY - reference_name, - start, - `END`, - reference_bases, - vt, - af - ) -) + (SELECT reference_name, START, `END`, + reference_bases, + vt, + af, + call.call_set_name, + call.genotype[OFFSET(0)] AS first_allele, + call.genotype[OFFSET(1)] AS second_allele, + alternate_base + FROM `spider2-public-data.1000_genomes.variants`, + UNNEST(CALL) AS CALL, + UNNEST(alternate_bases) AS alternate_base + WHERE reference_name = '17' + AND + START BETWEEN 41196311 AND 41277499) + GROUP BY reference_name, START, `END`, + reference_bases, + vt, + af)) diff --git a/spider2/queries/lite_ga001.sql b/spider2/queries/lite_ga001.sql index 1f80243321142b841ff99ae03d7e3eeadf97c4b9..e6e655ff9f4bbc93c1bd2fb93562bed767567071 100644 --- a/spider2/queries/lite_ga001.sql +++ b/spider2/queries/lite_ga001.sql @@ -1,36 +1,25 @@ -WITH - Params AS ( - SELECT 'Google Navy Speckled Tee' AS selected_product - ), - PurchaseEvents AS ( - SELECT - user_pseudo_id, - items - FROM - `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` - WHERE - _TABLE_SUFFIX BETWEEN '20201201' AND '20201231' - AND event_name = 'purchase' - ), - ProductABuyers AS ( - SELECT DISTINCT - user_pseudo_id - FROM - Params, - PurchaseEvents, - UNNEST(items) AS items - WHERE - items.item_name = selected_product - ) -SELECT - items.item_name AS item_name, - SUM(items.quantity) AS item_quantity -FROM - Params, - PurchaseEvents, - UNNEST(items) AS items -WHERE - user_pseudo_id IN (SELECT user_pseudo_id FROM ProductABuyers) +WITH Params AS + (SELECT 'Google Navy Speckled Tee' AS selected_product), + PurchaseEvents AS + (SELECT user_pseudo_id, + items + FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` + WHERE _TABLE_SUFFIX BETWEEN '20201201' AND '20201231' + AND event_name = 'purchase'), + ProductABuyers AS + (SELECT DISTINCT user_pseudo_id + FROM Params, + PurchaseEvents, + UNNEST(items) AS items + WHERE items.item_name = selected_product) +SELECT items.item_name AS item_name, + SUM(items.quantity) AS item_quantity +FROM Params, + PurchaseEvents, + UNNEST(items) AS items +WHERE user_pseudo_id IN + (SELECT user_pseudo_id + FROM ProductABuyers) AND items.item_name != selected_product GROUP BY 1 ORDER BY item_quantity DESC diff --git a/spider2/queries/lite_ga002.sql b/spider2/queries/lite_ga002.sql index b66e581c1d95e83e027a78cacd3f10b8fb35279d..3210995b5586f40bd7ed02ab045e0a1aebba902a 100644 --- a/spider2/queries/lite_ga002.sql +++ b/spider2/queries/lite_ga002.sql @@ -1,73 +1,57 @@ -WITH -Params AS ( - SELECT 'Google Red Speckled Tee' AS selected_product -), -DateRanges AS ( - SELECT '20201101' AS start_date, '20201130' AS end_date, '202011' AS period UNION ALL - SELECT '20201201', '20201231', '202012' UNION ALL - SELECT '20210101', '20210131', '202101' -), -PurchaseEvents AS ( - SELECT - period, - user_pseudo_id, - items - FROM - DateRanges - JOIN - `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` - ON _TABLE_SUFFIX BETWEEN start_date AND end_date - WHERE - event_name = 'purchase' -), -ProductABuyers AS ( - SELECT DISTINCT - period, - user_pseudo_id - FROM - Params, - PurchaseEvents, - UNNEST(items) AS items - WHERE - items.item_name = selected_product -), -TopProducts AS ( - SELECT - pe.period, - items.item_name AS item_name, - SUM(items.quantity) AS item_quantity - FROM - Params, - PurchaseEvents pe, - UNNEST(items) AS items - WHERE - user_pseudo_id IN (SELECT user_pseudo_id FROM ProductABuyers pb WHERE pb.period = pe.period) - AND items.item_name != selected_product - GROUP BY - pe.period, items.item_name -), -TopProductPerPeriod AS ( - SELECT - period, - item_name, - item_quantity - FROM ( - SELECT - period, - item_name, - item_quantity, - RANK() OVER (PARTITION BY period ORDER BY item_quantity DESC) AS rank - FROM - TopProducts - ) - WHERE - rank = 1 -) -SELECT - period, - item_name, - item_quantity -FROM - TopProductPerPeriod -ORDER BY - period; +WITH Params AS + (SELECT 'Google Red Speckled Tee' AS selected_product), + DateRanges AS + (SELECT '20201101' AS start_date, + '20201130' AS end_date, + '202011' AS period + UNION ALL SELECT '20201201', + '20201231', + '202012' + UNION ALL SELECT '20210101', + '20210131', + '202101'), + PurchaseEvents AS + (SELECT period, + user_pseudo_id, + items + FROM DateRanges + JOIN `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` ON _TABLE_SUFFIX BETWEEN start_date AND end_date + WHERE event_name = 'purchase'), + ProductABuyers AS + (SELECT DISTINCT period, + user_pseudo_id + FROM Params, + PurchaseEvents, + UNNEST(items) AS items + WHERE items.item_name = selected_product), + TopProducts AS + (SELECT pe.period, + items.item_name AS item_name, + SUM(items.quantity) AS item_quantity + FROM Params, + PurchaseEvents pe, + UNNEST(items) AS items + WHERE user_pseudo_id IN + (SELECT user_pseudo_id + FROM ProductABuyers pb + WHERE pb.period = pe.period) + AND items.item_name != selected_product + GROUP BY pe.period, + items.item_name), + TopProductPerPeriod AS + (SELECT period, + item_name, + item_quantity + FROM + (SELECT period, + item_name, + item_quantity, + RANK() OVER (PARTITION BY period + ORDER BY item_quantity DESC) AS rank + FROM TopProducts) + WHERE rank = 1) +SELECT period, + item_name, + item_quantity +FROM TopProductPerPeriod +ORDER BY period; diff --git a/spider2/queries/lite_ga003.sql b/spider2/queries/lite_ga003.sql index 8e4628fb24e1c652ee429659dffbb60ecc8cc727..2d8201c649b67904459a4c800d708a7e63945c2c 100644 --- a/spider2/queries/lite_ga003.sql +++ b/spider2/queries/lite_ga003.sql @@ -1,31 +1,21 @@ -WITH EventData AS ( - SELECT - user_pseudo_id, - event_timestamp, - param - FROM - `firebase-public-project.analytics_153293282.events_20180915`, +WITH EventData AS + (SELECT user_pseudo_id, + event_timestamp, + param + FROM `firebase-public-project.analytics_153293282.events_20180915`, UNNEST(event_params) AS param - WHERE - event_name = "level_complete_quickplay" - AND (param.key = "value" OR param.key = "board") -), -ProcessedData AS ( - SELECT - user_pseudo_id, - event_timestamp, - MAX(IF(param.key = "value", param.value.int_value, NULL)) AS score, - MAX(IF(param.key = "board", param.value.string_value, NULL)) AS board_type - FROM - EventData - GROUP BY - user_pseudo_id, - event_timestamp -) -SELECT - ANY_VALUE(board_type) AS board, - AVG(score) AS average_score -FROM - ProcessedData -GROUP BY - board_type + WHERE event_name = "level_complete_quickplay" + AND (param.key = "value" + OR param.key = "board")), + ProcessedData AS + (SELECT user_pseudo_id, + event_timestamp, + MAX(IF(param.key = "value", param.value.int_value, NULL)) AS score, + MAX(IF(param.key = "board", param.value.string_value, NULL)) AS board_type + FROM EventData + GROUP BY user_pseudo_id, + event_timestamp) +SELECT ANY_VALUE(board_type) AS board, + AVG(score) AS average_score +FROM ProcessedData +GROUP BY board_type diff --git a/spider2/queries/lite_ga004.sql b/spider2/queries/lite_ga004.sql index 4560d9bdb357f66ea7e744e25f893977c6d0a037..7c749d96a53da25d3ae8681430ef638031686d1b 100644 --- a/spider2/queries/lite_ga004.sql +++ b/spider2/queries/lite_ga004.sql @@ -1,24 +1,22 @@ -WITH - UserInfo AS ( - SELECT - user_pseudo_id, - COUNTIF(event_name = 'page_view') AS page_view_count, - COUNTIF(event_name IN ('in_app_purchase', 'purchase')) AS purchase_event_count - FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` - WHERE _TABLE_SUFFIX BETWEEN '20201201' AND '20201231' - GROUP BY 1 - ), - Averages AS ( - SELECT - (purchase_event_count > 0) AS purchaser, - COUNT(*) AS user_count, - SUM(page_view_count) AS total_page_views, - SUM(page_view_count) / COUNT(*) AS avg_page_views - FROM UserInfo - GROUP BY 1 - ) - -SELECT - MAX(CASE WHEN purchaser THEN avg_page_views ELSE 0 END) - - MAX(CASE WHEN NOT purchaser THEN avg_page_views ELSE 0 END) AS avg_page_views_difference +WITH UserInfo AS + (SELECT user_pseudo_id, + COUNTIF(event_name = 'page_view') AS page_view_count, + COUNTIF(event_name IN ('in_app_purchase', 'purchase')) AS purchase_event_count + FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` + WHERE _TABLE_SUFFIX BETWEEN '20201201' AND '20201231' + GROUP BY 1), + Averages AS + (SELECT (purchase_event_count > 0) AS purchaser, + COUNT(*) AS user_count, + SUM(page_view_count) AS total_page_views, + SUM(page_view_count) / COUNT(*) AS avg_page_views + FROM UserInfo + GROUP BY 1) +SELECT MAX(CASE + WHEN purchaser THEN avg_page_views + ELSE 0 + END) - MAX(CASE + WHEN NOT purchaser THEN avg_page_views + ELSE 0 + END) AS avg_page_views_difference FROM Averages; diff --git a/spider2/queries/lite_ga008.sql b/spider2/queries/lite_ga008.sql index de87f715d018d86ce7bdd7a99a75073a84705135..481ecf17a4e2b239655a8ec7208c7ba0a454a2f5 100644 --- a/spider2/queries/lite_ga008.sql +++ b/spider2/queries/lite_ga008.sql @@ -1,18 +1,15 @@ -WITH - UserInfo AS ( - SELECT - user_pseudo_id, - PARSE_DATE('%Y%m%d', event_date) AS event_date, - COUNTIF(event_name = 'page_view') AS page_view_count, - COUNTIF(event_name = 'purchase') AS purchase_event_count - FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` - WHERE _TABLE_SUFFIX BETWEEN '20201101' AND '20201130' - GROUP BY 1, 2 - ) -SELECT - event_date, - SUM(page_view_count) / COUNT(*) AS avg_page_views, - SUM(page_view_count) +WITH UserInfo AS + (SELECT user_pseudo_id, + PARSE_DATE('%Y%m%d', event_date) AS event_date, + COUNTIF(event_name = 'page_view') AS page_view_count, + COUNTIF(event_name = 'purchase') AS purchase_event_count + FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` + WHERE _TABLE_SUFFIX BETWEEN '20201101' AND '20201130' + GROUP BY 1, + 2) +SELECT event_date, + SUM(page_view_count) / COUNT(*) AS avg_page_views, + SUM(page_view_count) FROM UserInfo WHERE purchase_event_count > 0 GROUP BY event_date diff --git a/spider2/queries/lite_ga010.sql b/spider2/queries/lite_ga010.sql index e2bd7f9e09920a313a1cf1e1c8d822fc7bb6bdd3..23e8d398f4ef286ca2cc49413f57410de8635749 100644 --- a/spider2/queries/lite_ga010.sql +++ b/spider2/queries/lite_ga010.sql @@ -1,58 +1,76 @@ -WITH prep AS ( - SELECT - user_pseudo_id, - (SELECT value.int_value FROM UNNEST(event_params) WHERE key = 'ga_session_id') AS session_id, - ARRAY_AGG((SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'source') IGNORE NULLS - ORDER BY event_timestamp)[SAFE_OFFSET(0)] AS source, - ARRAY_AGG((SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'medium') IGNORE NULLS - ORDER BY event_timestamp)[SAFE_OFFSET(0)] AS medium, - ARRAY_AGG((SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'campaign') IGNORE NULLS - ORDER BY event_timestamp)[SAFE_OFFSET(0)] AS campaign - FROM - `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` - WHERE - _TABLE_SUFFIX BETWEEN '20201201' AND '20201231' - GROUP BY - user_pseudo_id, - session_id -) -SELECT - -- session default channel grouping (dimension | the channel group associated with a session) - CASE - WHEN source = '(direct)' AND (medium IN ('(not set)','(none)')) THEN 'Direct' - WHEN REGEXP_CONTAINS(campaign, 'cross-network') THEN 'Cross-network' - WHEN (REGEXP_CONTAINS(source,'alibaba|amazon|google shopping|shopify|etsy|ebay|stripe|walmart') - OR REGEXP_CONTAINS(campaign, '^(.*(([^a-df-z]|^)shop|shopping).*)$')) - AND REGEXP_CONTAINS(medium, '^(.*cp.*|ppc|paid.*)$') THEN 'Paid Shopping' - WHEN REGEXP_CONTAINS(source,'baidu|bing|duckduckgo|ecosia|google|yahoo|yandex') - AND REGEXP_CONTAINS(medium,'^(.*cp.*|ppc|paid.*)$') THEN 'Paid Search' - WHEN REGEXP_CONTAINS(source,'badoo|facebook|fb|instagram|linkedin|pinterest|tiktok|twitter|whatsapp') - AND REGEXP_CONTAINS(medium,'^(.*cp.*|ppc|paid.*)$') THEN 'Paid Social' - WHEN REGEXP_CONTAINS(source,'dailymotion|disneyplus|netflix|youtube|vimeo|twitch|vimeo|youtube') - AND REGEXP_CONTAINS(medium,'^(.*cp.*|ppc|paid.*)$') THEN 'Paid Video' - WHEN medium IN ('display', 'banner', 'expandable', 'interstitial', 'cpm') THEN 'Display' - WHEN REGEXP_CONTAINS(source,'alibaba|amazon|google shopping|shopify|etsy|ebay|stripe|walmart') - OR REGEXP_CONTAINS(campaign, '^(.*(([^a-df-z]|^)shop|shopping).*)$') THEN 'Organic Shopping' - WHEN REGEXP_CONTAINS(source,'badoo|facebook|fb|instagram|linkedin|pinterest|tiktok|twitter|whatsapp') - OR medium IN ('social','social-network','social-media','sm','social network','social media') THEN 'Organic Social' - WHEN REGEXP_CONTAINS(source,'dailymotion|disneyplus|netflix|youtube|vimeo|twitch|vimeo|youtube') - OR REGEXP_CONTAINS(medium,'^(.*video.*)$') THEN 'Organic Video' - WHEN REGEXP_CONTAINS(source,'baidu|bing|duckduckgo|ecosia|google|yahoo|yandex') - OR medium = 'organic' THEN 'Organic Search' - WHEN REGEXP_CONTAINS(source,'email|e-mail|e_mail|e mail') - OR REGEXP_CONTAINS(medium,'email|e-mail|e_mail|e mail') THEN 'Email' - WHEN medium = 'affiliate' THEN 'Affiliates' - WHEN medium = 'referral' THEN 'Referral' - WHEN medium = 'audio' THEN 'Audio' - WHEN medium = 'sms' THEN 'SMS' - WHEN medium LIKE '%push' - OR REGEXP_CONTAINS(medium,'mobile|notification') THEN 'Mobile Push Notifications' - ELSE 'Unassigned' - END AS channel_grouping_session -FROM - prep -GROUP BY - channel_grouping_session -ORDER BY - COUNT(DISTINCT CONCAT(user_pseudo_id, session_id)) DESC -LIMIT 1 OFFSET 3 +WITH prep AS + (SELECT user_pseudo_id, + + (SELECT value.int_value + FROM UNNEST(event_params) + WHERE KEY = 'ga_session_id') AS session_id, + ARRAY_AGG( + (SELECT value.string_value + FROM UNNEST(event_params) + WHERE KEY = 'source') + IGNORE NULLS + ORDER BY event_timestamp)[SAFE_OFFSET(0)] AS SOURCE, + ARRAY_AGG( + (SELECT value.string_value + FROM UNNEST(event_params) + WHERE KEY = 'medium') + IGNORE NULLS + ORDER BY event_timestamp)[SAFE_OFFSET(0)] AS medium, + ARRAY_AGG( + (SELECT value.string_value + FROM UNNEST(event_params) + WHERE KEY = 'campaign') + IGNORE NULLS + ORDER BY event_timestamp)[SAFE_OFFSET(0)] AS campaign + FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` + WHERE _TABLE_SUFFIX BETWEEN '20201201' AND '20201231' + GROUP BY user_pseudo_id, + session_id) +SELECT -- session default channel grouping (dimension | the channel group associated with a session) + CASE + WHEN SOURCE = '(direct)' + AND (medium IN ('(not set)', + '(none)')) THEN 'Direct' + WHEN REGEXP_CONTAINS(campaign, 'cross-network') THEN 'Cross-network' + WHEN (REGEXP_CONTAINS(SOURCE, 'alibaba|amazon|google shopping|shopify|etsy|ebay|stripe|walmart') + OR REGEXP_CONTAINS(campaign, '^(.*(([^a-df-z]|^)shop|shopping).*)$')) + AND REGEXP_CONTAINS(medium, '^(.*cp.*|ppc|paid.*)$') THEN 'Paid Shopping' + WHEN REGEXP_CONTAINS(SOURCE, 'baidu|bing|duckduckgo|ecosia|google|yahoo|yandex') + AND REGEXP_CONTAINS(medium, '^(.*cp.*|ppc|paid.*)$') THEN 'Paid Search' + WHEN REGEXP_CONTAINS(SOURCE, 'badoo|facebook|fb|instagram|linkedin|pinterest|tiktok|twitter|whatsapp') + AND REGEXP_CONTAINS(medium, '^(.*cp.*|ppc|paid.*)$') THEN 'Paid Social' + WHEN REGEXP_CONTAINS(SOURCE, 'dailymotion|disneyplus|netflix|youtube|vimeo|twitch|vimeo|youtube') + AND REGEXP_CONTAINS(medium, '^(.*cp.*|ppc|paid.*)$') THEN 'Paid Video' + WHEN medium IN ('display', + 'banner', + 'expandable', + 'interstitial', + 'cpm') THEN 'Display' + WHEN REGEXP_CONTAINS(SOURCE, 'alibaba|amazon|google shopping|shopify|etsy|ebay|stripe|walmart') + OR REGEXP_CONTAINS(campaign, '^(.*(([^a-df-z]|^)shop|shopping).*)$') THEN 'Organic Shopping' + WHEN REGEXP_CONTAINS(SOURCE, 'badoo|facebook|fb|instagram|linkedin|pinterest|tiktok|twitter|whatsapp') + OR medium IN ('social', + 'social-network', + 'social-media', + 'sm', + 'social network', + 'social media') THEN 'Organic Social' + WHEN REGEXP_CONTAINS(SOURCE, 'dailymotion|disneyplus|netflix|youtube|vimeo|twitch|vimeo|youtube') + OR REGEXP_CONTAINS(medium, '^(.*video.*)$') THEN 'Organic Video' + WHEN REGEXP_CONTAINS(SOURCE, 'baidu|bing|duckduckgo|ecosia|google|yahoo|yandex') + OR medium = 'organic' THEN 'Organic Search' + WHEN REGEXP_CONTAINS(SOURCE, 'email|e-mail|e_mail|e mail') + OR REGEXP_CONTAINS(medium, 'email|e-mail|e_mail|e mail') THEN 'Email' + WHEN medium = 'affiliate' THEN 'Affiliates' + WHEN medium = 'referral' THEN 'Referral' + WHEN medium = 'audio' THEN 'Audio' + WHEN medium = 'sms' THEN 'SMS' + WHEN medium LIKE '%push' + OR REGEXP_CONTAINS(medium, 'mobile|notification') THEN 'Mobile Push Notifications' + ELSE 'Unassigned' + END AS channel_grouping_session +FROM prep +GROUP BY channel_grouping_session +ORDER BY COUNT(DISTINCT CONCAT(user_pseudo_id, session_id)) DESC +LIMIT 1 +OFFSET 3 diff --git a/spider2/queries/lite_ga012.sql b/spider2/queries/lite_ga012.sql index 2e95f58d7b19c0f971b3c2e6c0deeca671303a6b..c0ca2a3966b76f6d85023a132ee9d2be2ba227e4 100644 --- a/spider2/queries/lite_ga012.sql +++ b/spider2/queries/lite_ga012.sql @@ -1,30 +1,18 @@ -WITH top_category AS ( - SELECT - product.item_category, - SUM(ecommerce.tax_value_in_usd) / SUM(ecommerce.purchase_revenue_in_usd) AS tax_rate - FROM - bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_20201130, - UNNEST(items) AS product - WHERE - event_name = 'purchase' - GROUP BY - product.item_category - ORDER BY - tax_rate DESC - LIMIT 1 -) - -SELECT - ecommerce.transaction_id, - SUM(ecommerce.total_item_quantity) AS total_item_quantity, - SUM(ecommerce.purchase_revenue_in_usd) AS purchase_revenue_in_usd, - SUM(ecommerce.purchase_revenue) AS purchase_revenue -FROM - bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_20201130, - UNNEST(items) AS product -JOIN top_category -ON product.item_category = top_category.item_category -WHERE - event_name = 'purchase' -GROUP BY - ecommerce.transaction_id; +WITH top_category AS + (SELECT product.item_category, + SUM(ecommerce.tax_value_in_usd) / SUM(ecommerce.purchase_revenue_in_usd) AS tax_rate + FROM bigquery-PUBLIC-data.ga4_obfuscated_sample_ecommerce.events_20201130, + UNNEST(items) AS product + WHERE event_name = 'purchase' + GROUP BY product.item_category + ORDER BY tax_rate DESC + LIMIT 1) +SELECT ecommerce.transaction_id, + SUM(ecommerce.total_item_quantity) AS total_item_quantity, + SUM(ecommerce.purchase_revenue_in_usd) AS purchase_revenue_in_usd, + SUM(ecommerce.purchase_revenue) AS purchase_revenue +FROM bigquery-PUBLIC-data.ga4_obfuscated_sample_ecommerce.events_20201130, + UNNEST(items) AS product +JOIN top_category ON product.item_category = top_category.item_category +WHERE event_name = 'purchase' +GROUP BY ecommerce.transaction_id; diff --git a/spider2/queries/lite_ga017.sql b/spider2/queries/lite_ga017.sql index f8f0427c0a0487b921c559f6881d6e05dbe79ae1..56e7105929c82c7465f97c41cb623d449fb4dee0 100644 --- a/spider2/queries/lite_ga017.sql +++ b/spider2/queries/lite_ga017.sql @@ -1,28 +1,22 @@ -WITH unnested_events AS ( - SELECT - MAX(CASE WHEN event_params.key = 'page_location' THEN event_params.value.string_value END) AS page_location, - user_pseudo_id, - event_timestamp - FROM - `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*`, - UNNEST(event_params) AS event_params - WHERE - _TABLE_SUFFIX BETWEEN '20210101' AND '20210131' - AND event_name = 'page_view' - GROUP BY user_pseudo_id,event_timestamp -), -temp AS ( - SELECT - page_location, - COUNT(*) AS event_count, - COUNT(DISTINCT user_pseudo_id) AS users - FROM - unnested_events - GROUP BY page_location - ORDER BY event_count DESC -) - -SELECT users -FROM -temp +WITH unnested_events AS + (SELECT MAX(CASE + WHEN event_params.key = 'page_location' THEN event_params.value.string_value + END) AS page_location, + user_pseudo_id, + event_timestamp + FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*`, + UNNEST(event_params) AS event_params + WHERE _TABLE_SUFFIX BETWEEN '20210101' AND '20210131' + AND event_name = 'page_view' + GROUP BY user_pseudo_id, + event_timestamp), + TEMP AS + (SELECT page_location, + COUNT(*) AS event_count, + COUNT(DISTINCT user_pseudo_id) AS users + FROM unnested_events + GROUP BY page_location + ORDER BY event_count DESC) +SELECT users +FROM TEMP LIMIT 1 diff --git a/spider2/queries/lite_ga018.sql b/spider2/queries/lite_ga018.sql index dddf2b120293cf79ae2dc5305d3d923104764555..acdd3a1d2c9ea7830c1a4bd4c1e41bc182035414 100644 --- a/spider2/queries/lite_ga018.sql +++ b/spider2/queries/lite_ga018.sql @@ -1,120 +1,133 @@ -WITH base_table AS ( - SELECT - event_name, - event_date, - event_timestamp, - user_pseudo_id, - user_id, - device, - geo, - traffic_source, - event_params, - user_properties - FROM - `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` - WHERE - _table_suffix = '20210102' - AND event_name IN ('page_view') -) -, unnested_events AS ( --- unnests event parameters to get to relevant keys and values - SELECT - event_date AS date, - event_timestamp AS event_timestamp_microseconds, - user_pseudo_id, - MAX(CASE WHEN c.key = 'ga_session_id' THEN c.value.int_value END) AS visitID, - MAX(CASE WHEN c.key = 'ga_session_number' THEN c.value.int_value END) AS visitNumber, - MAX(CASE WHEN c.key = 'page_title' THEN c.value.string_value END) AS page_title, - MAX(CASE WHEN c.key = 'page_location' THEN c.value.string_value END) AS page_location - FROM - base_table, - UNNEST (event_params) c - GROUP BY 1,2,3 -) - -, unnested_events_categorised AS ( --- categorizing Page Titles into PDPs and PLPs - SELECT - *, - CASE WHEN ARRAY_LENGTH(SPLIT(page_location, '/')) >= 5 - AND - CONTAINS_SUBSTR(ARRAY_REVERSE(SPLIT(page_location, '/'))[SAFE_OFFSET(0)], '+') - AND (LOWER(SPLIT(page_location, '/')[SAFE_OFFSET(4)]) IN - ('accessories','apparel','brands','campus+collection','drinkware', - 'electronics','google+redesign', - 'lifestyle','nest','new+2015+logo','notebooks+journals', - 'office','shop+by+brand','small+goods','stationery','wearables' - ) - OR - LOWER(SPLIT(page_location, '/')[SAFE_OFFSET(3)]) IN - ('accessories','apparel','brands','campus+collection','drinkware', - 'electronics','google+redesign', - 'lifestyle','nest','new+2015+logo','notebooks+journals', - 'office','shop+by+brand','small+goods','stationery','wearables' - ) - ) - THEN 'PDP' +WITH base_table AS + (SELECT event_name, + event_date, + event_timestamp, + user_pseudo_id, + user_id, + device, + geo, + traffic_source, + event_params, + user_properties + FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` + WHERE _table_suffix = '20210102' + AND event_name IN ('page_view')), + unnested_events AS + (-- unnests event parameters to get to relevant keys and values + SELECT event_date AS date, + event_timestamp AS event_timestamp_microseconds, + user_pseudo_id, + MAX(CASE + WHEN c.key = 'ga_session_id' THEN c.value.int_value + END) AS visitID, + MAX(CASE + WHEN c.key = 'ga_session_number' THEN c.value.int_value + END) AS visitNumber, + MAX(CASE + WHEN c.key = 'page_title' THEN c.value.string_value + END) AS page_title, + MAX(CASE + WHEN c.key = 'page_location' THEN c.value.string_value + END) AS page_location + FROM base_table, + UNNEST (event_params) c + GROUP BY 1, + 2, + 3) , + unnested_events_categorised AS + (-- categorizing Page Titles into PDPs and PLPs + SELECT *, + CASE + WHEN ARRAY_LENGTH(SPLIT(page_location, '/')) >= 5 + AND CONTAINS_SUBSTR(ARRAY_REVERSE(SPLIT(page_location, '/'))[SAFE_OFFSET(0)], '+') + AND (LOWER(SPLIT(page_location, '/')[SAFE_OFFSET(4)]) IN ('accessories', + 'apparel', + 'brands', + 'campus+collection', + 'drinkware', + 'electronics', + 'google+redesign', + 'lifestyle', + 'nest', + 'new+2015+logo', + 'notebooks+journals', + 'office', + 'shop+by+brand', + 'small+goods', + 'stationery', + 'wearables') + OR LOWER(SPLIT(page_location, '/')[SAFE_OFFSET(3)]) IN ('accessories', + 'apparel', + 'brands', + 'campus+collection', + 'drinkware', + 'electronics', + 'google+redesign', + 'lifestyle', + 'nest', + 'new+2015+logo', + 'notebooks+journals', + 'office', + 'shop+by+brand', + 'small+goods', + 'stationery', + 'wearables')) THEN 'PDP' WHEN NOT(CONTAINS_SUBSTR(ARRAY_REVERSE(SPLIT(page_location, '/'))[SAFE_OFFSET(0)], '+')) - AND (LOWER(SPLIT(page_location, '/')[SAFE_OFFSET(4)]) IN - ('accessories','apparel','brands','campus+collection','drinkware', - 'electronics','google+redesign', - 'lifestyle','nest','new+2015+logo','notebooks+journals', - 'office','shop+by+brand','small+goods','stationery','wearables' - ) - OR - LOWER(SPLIT(page_location, '/')[SAFE_OFFSET(3)]) IN - ('accessories','apparel','brands','campus+collection','drinkware', - 'electronics','google+redesign', - 'lifestyle','nest','new+2015+logo','notebooks+journals', - 'office','shop+by+brand','small+goods','stationery','wearables' - ) - ) - THEN 'PLP' - ELSE page_title - END AS page_title_adjusted - - FROM - unnested_events -) - - -, ranked_screens AS ( - SELECT - *, - LAG(page_title_adjusted,1) OVER (PARTITION BY user_pseudo_id, visitID ORDER BY event_timestamp_microseconds ASC) previous_page, - LEAD(page_title_adjusted,1) OVER (PARTITION BY user_pseudo_id, visitID ORDER BY event_timestamp_microseconds ASC) next_page - FROM - unnested_events_categorised - -) - -,PLPtoPDPTransitions AS ( - SELECT - user_pseudo_id, - visitID - FROM - ranked_screens - WHERE - page_title_adjusted = 'PLP' AND next_page = 'PDP' -) - -,TotalPLPViews AS ( - SELECT - COUNT(*) AS total_plp_views - FROM - ranked_screens - WHERE - page_title_adjusted = 'PLP' -) - -,TotalTransitions AS ( - SELECT - COUNT(*) AS total_transitions - FROM - PLPtoPDPTransitions -) - -SELECT - (total_transitions * 100.0) / total_plp_views AS percentage -FROM - TotalTransitions, TotalPLPViews; + AND (LOWER(SPLIT(page_location, '/')[SAFE_OFFSET(4)]) IN ('accessories', + 'apparel', + 'brands', + 'campus+collection', + 'drinkware', + 'electronics', + 'google+redesign', + 'lifestyle', + 'nest', + 'new+2015+logo', + 'notebooks+journals', + 'office', + 'shop+by+brand', + 'small+goods', + 'stationery', + 'wearables') + OR LOWER(SPLIT(page_location, '/')[SAFE_OFFSET(3)]) IN ('accessories', + 'apparel', + 'brands', + 'campus+collection', + 'drinkware', + 'electronics', + 'google+redesign', + 'lifestyle', + 'nest', + 'new+2015+logo', + 'notebooks+journals', + 'office', + 'shop+by+brand', + 'small+goods', + 'stationery', + 'wearables')) THEN 'PLP' + ELSE page_title + END AS page_title_adjusted + FROM unnested_events) , + ranked_screens AS + (SELECT *, + LAG(page_title_adjusted, 1) OVER (PARTITION BY user_pseudo_id, visitID + ORDER BY event_timestamp_microseconds ASC) previous_page, + LEAD(page_title_adjusted, 1) OVER (PARTITION BY user_pseudo_id, visitID + ORDER BY event_timestamp_microseconds ASC) next_page + FROM unnested_events_categorised) , + PLPtoPDPTransitions AS + (SELECT user_pseudo_id, + visitID + FROM ranked_screens + WHERE page_title_adjusted = 'PLP' + AND next_page = 'PDP') , + TotalPLPViews AS + (SELECT COUNT(*) AS total_plp_views + FROM ranked_screens + WHERE page_title_adjusted = 'PLP') , + TotalTransitions AS + (SELECT COUNT(*) AS total_transitions + FROM PLPtoPDPTransitions) +SELECT (total_transitions * 100.0) / total_plp_views AS percentage +FROM TotalTransitions, + TotalPLPViews; diff --git a/spider2/queries/lite_ga019.sql b/spider2/queries/lite_ga019.sql index e1a0f65ca29b4502769ef7fa140dc9d761b57315..d10a7f3884fe3139c2d11033939edcb34ff1d7ac 100644 --- a/spider2/queries/lite_ga019.sql +++ b/spider2/queries/lite_ga019.sql @@ -1,33 +1,25 @@ -WITH ---List of users who installed -sept_cohort AS ( - SELECT DISTINCT user_pseudo_id, - FORMAT_DATE('%Y-%m-%d', PARSE_DATE('%Y%m%d', event_date)) AS date_first_open, - FROM `firebase-public-project.analytics_153293282.events_*` - WHERE event_name = 'first_open' - AND _TABLE_SUFFIX BETWEEN '20180801' and '20180930' -), ---Get the list of users who uninstalled -uninstallers AS ( - SELECT DISTINCT user_pseudo_id, - FORMAT_DATE('%Y-%m-%d', PARSE_DATE('%Y%m%d', event_date)) AS date_app_remove, - FROM `firebase-public-project.analytics_153293282.events_*` - WHERE event_name = 'app_remove' - AND _TABLE_SUFFIX BETWEEN '20180801' and '20180930' -), ---Join the 2 tables and compute for # of days to uninstall -joined AS ( - SELECT a.*, - b.date_app_remove, - DATE_DIFF(DATE(b.date_app_remove), DATE(a.date_first_open), DAY) AS days_to_uninstall - FROM sept_cohort a - LEFT JOIN uninstallers b - ON a.user_pseudo_id = b.user_pseudo_id -) ---Compute for the percentage -SELECT -COUNT(DISTINCT -CASE WHEN days_to_uninstall > 7 OR days_to_uninstall IS NULL THEN user_pseudo_id END) / -COUNT(DISTINCT user_pseudo_id) -AS percent_users_7_days +WITH --List of users who installed +sept_cohort AS + (SELECT DISTINCT user_pseudo_id, + FORMAT_DATE('%Y-%m-%d', PARSE_DATE('%Y%m%d', event_date)) AS date_first_open, + FROM `firebase-public-project.analytics_153293282.events_*` + WHERE event_name = 'first_open' + AND _TABLE_SUFFIX BETWEEN '20180801' AND '20180930'), --Get the list of users who uninstalled +uninstallers AS + (SELECT DISTINCT user_pseudo_id, + FORMAT_DATE('%Y-%m-%d', PARSE_DATE('%Y%m%d', event_date)) AS date_app_remove, + FROM `firebase-public-project.analytics_153293282.events_*` + WHERE event_name = 'app_remove' + AND _TABLE_SUFFIX BETWEEN '20180801' AND '20180930'), --Join the 2 tables and compute for # of days to uninstall +joined AS + (SELECT a.*, + b.date_app_remove, + DATE_DIFF(DATE(b.date_app_remove), DATE(a.date_first_open), DAY) AS days_to_uninstall + FROM sept_cohort a + LEFT JOIN uninstallers b ON a.user_pseudo_id = b.user_pseudo_id) --Compute for the percentage + +SELECT COUNT(DISTINCT CASE + WHEN days_to_uninstall > 7 + OR days_to_uninstall IS NULL THEN user_pseudo_id + END) / COUNT(DISTINCT user_pseudo_id) AS percent_users_7_days FROM joined diff --git a/spider2/queries/lite_ga020.sql b/spider2/queries/lite_ga020.sql index 85b3c3a353178059509cf0687c1bfbbb99ecac46..5667ad1d23cb8e2e503b84ababa2507fd2f241e2 100644 --- a/spider2/queries/lite_ga020.sql +++ b/spider2/queries/lite_ga020.sql @@ -1,93 +1,79 @@ -- Define the date range and calculate the minimum date for filtering results -WITH dates AS ( - SELECT - DATE('2018-08-01') AS start_date, - DATE('2018-08-15') AS end_date -), --- Create a table of active dates for each user within the specified date range -dates_active_table AS ( - SELECT - user_pseudo_id, - PARSE_DATE('%Y%m%d', `event_date`) AS user_active_date - FROM - `firebase-public-project.analytics_153293282.events_*` - WHERE - event_name = 'session_start' - AND PARSE_DATE('%Y%m%d', `event_date`) BETWEEN (SELECT start_date FROM dates) AND (SELECT end_date FROM dates) - GROUP BY - user_pseudo_id, user_active_date -), --- Create a table of the earliest quickplay event date for each user within the specified date range -event_table AS ( - SELECT - user_pseudo_id, - event_name, - MIN(PARSE_DATE('%Y%m%d', `event_date`)) AS event_cohort_date - FROM - `firebase-public-project.analytics_153293282.events_*` - WHERE - event_name IN ('level_start_quickplay', 'level_end_quickplay', 'level_complete_quickplay', - 'level_fail_quickplay', 'level_reset_quickplay', 'level_retry_quickplay') - AND PARSE_DATE('%Y%m%d', `event_date`) BETWEEN (SELECT start_date FROM dates) AND (SELECT end_date FROM dates) - GROUP BY - user_pseudo_id, event_name -), --- Calculate the number of days since each user's initial quickplay event -days_since_event_table AS ( - SELECT - events.user_pseudo_id, - events.event_name AS event_cohort, - events.event_cohort_date, - days.user_active_date, - DATE_DIFF(days.user_active_date, events.event_cohort_date, DAY) AS days_since_event - FROM - event_table events - LEFT JOIN - dates_active_table days ON events.user_pseudo_id = days.user_pseudo_id - WHERE - events.event_cohort_date <= days.user_active_date -), --- Calculate the weeks since each user's initial quickplay event and count the active days in each week -weeks_retention AS ( - SELECT - event_cohort, - user_pseudo_id, - CAST(CASE WHEN days_since_event = 0 THEN 0 ELSE CEIL(days_since_event / 7) END AS INTEGER) AS weeks_since_event, - COUNT(DISTINCT days_since_event) AS days_active_since_event -- Count Days Active in Week - FROM - days_since_event_table - GROUP BY - event_cohort, user_pseudo_id, weeks_since_event -), --- Aggregate the weekly retention data -aggregated_weekly_retention_table AS ( - SELECT - event_cohort, - weeks_since_event, - SUM(days_active_since_event) AS weekly_days_active, - COUNT(DISTINCT user_pseudo_id) AS retained_users - FROM - weeks_retention - GROUP BY - event_cohort, weeks_since_event -), -RETENTION_INFO AS ( --- Select and calculate the weekly retention rate for each event cohort -SELECT - event_cohort, - weeks_since_event, - weekly_days_active, - retained_users, - (retained_users / MAX(retained_users) OVER (PARTITION BY event_cohort)) AS retention_rate -FROM - aggregated_weekly_retention_table -ORDER BY - event_cohort, weeks_since_event -) +WITH dates AS + (SELECT DATE('2018-08-01') AS start_date, + DATE('2018-08-15') AS end_date), -- Create a table of active dates for each user within the specified date range +dates_active_table AS + (SELECT user_pseudo_id, + PARSE_DATE('%Y%m%d', `event_date`) AS user_active_date + FROM `firebase-public-project.analytics_153293282.events_*` + WHERE event_name = 'session_start' + AND PARSE_DATE('%Y%m%d', `event_date`) BETWEEN + (SELECT start_date + FROM dates) AND + (SELECT end_date + FROM dates) + GROUP BY user_pseudo_id, + user_active_date), -- Create a table of the earliest quickplay event date for each user within the specified date range +event_table AS + (SELECT user_pseudo_id, + event_name, + MIN(PARSE_DATE('%Y%m%d', `event_date`)) AS event_cohort_date + FROM `firebase-public-project.analytics_153293282.events_*` + WHERE event_name IN ('level_start_quickplay', + 'level_end_quickplay', + 'level_complete_quickplay', + 'level_fail_quickplay', + 'level_reset_quickplay', + 'level_retry_quickplay') + AND PARSE_DATE('%Y%m%d', `event_date`) BETWEEN + (SELECT start_date + FROM dates) AND + (SELECT end_date + FROM dates) + GROUP BY user_pseudo_id, + event_name), -- Calculate the number of days since each user's initial quickplay event +days_since_event_table AS + (SELECT events.user_pseudo_id, + events.event_name AS event_cohort, + events.event_cohort_date, + days.user_active_date, + DATE_DIFF(days.user_active_date, events.event_cohort_date, DAY) AS days_since_event + FROM event_table EVENTS + LEFT JOIN dates_active_table days ON events.user_pseudo_id = days.user_pseudo_id + WHERE events.event_cohort_date <= days.user_active_date), -- Calculate the weeks since each user's initial quickplay event and count the active days in each week +weeks_retention AS + (SELECT event_cohort, + user_pseudo_id, + CAST(CASE + WHEN days_since_event = 0 THEN 0 + ELSE CEIL(days_since_event / 7) + END AS INTEGER) AS weeks_since_event, + COUNT(DISTINCT days_since_event) AS days_active_since_event -- Count Days Active in Week + FROM days_since_event_table + GROUP BY event_cohort, + user_pseudo_id, + weeks_since_event), -- Aggregate the weekly retention data +aggregated_weekly_retention_table AS + (SELECT event_cohort, + weeks_since_event, + SUM(days_active_since_event) AS weekly_days_active, + COUNT(DISTINCT user_pseudo_id) AS retained_users + FROM weeks_retention + GROUP BY event_cohort, + weeks_since_event), + RETENTION_INFO AS + (-- Select and calculate the weekly retention rate for each event cohort +SELECT event_cohort, + weeks_since_event, + weekly_days_active, + retained_users, + (retained_users / MAX(retained_users) OVER (PARTITION BY event_cohort)) AS retention_rate + FROM aggregated_weekly_retention_table + ORDER BY event_cohort, + weeks_since_event) SELECT event_cohort -FROM -RETENTION_INFO +FROM RETENTION_INFO WHERE weeks_since_event = 2 ORDER BY retention_rate LIMIT 1 diff --git a/spider2/queries/lite_ga021.sql b/spider2/queries/lite_ga021.sql index 3c9c283733bea867810e536f27f7f9d07bc4d0d0..70fce06b118a38f869cea52ce98f6a96acc339ac 100644 --- a/spider2/queries/lite_ga021.sql +++ b/spider2/queries/lite_ga021.sql @@ -1,90 +1,77 @@ -- Define the date range and calculate the minimum date for filtering results -WITH dates AS ( - SELECT - DATE('2018-07-02') AS start_date, - DATE('2018-07-16') AS end_date -), --- Create a table of active dates for each user within the specified date range -dates_active_table AS ( - SELECT - user_pseudo_id, - PARSE_DATE('%Y%m%d', `event_date`) AS user_active_date - FROM - `firebase-public-project.analytics_153293282.events_*` - WHERE - event_name = 'session_start' - AND PARSE_DATE('%Y%m%d', `event_date`) BETWEEN (SELECT start_date FROM dates) AND (SELECT end_date FROM dates) - GROUP BY - user_pseudo_id, user_active_date -), --- Create a table of the earliest quickplay event date for each user within the specified date range -event_table AS ( - SELECT - user_pseudo_id, - event_name, - MIN(PARSE_DATE('%Y%m%d', `event_date`)) AS event_cohort_date - FROM - `firebase-public-project.analytics_153293282.events_*` - WHERE - event_name IN ('level_start_quickplay', 'level_end_quickplay', 'level_complete_quickplay', - 'level_fail_quickplay', 'level_reset_quickplay', 'level_retry_quickplay') - AND PARSE_DATE('%Y%m%d', `event_date`) BETWEEN (SELECT start_date FROM dates) AND (SELECT end_date FROM dates) - GROUP BY - user_pseudo_id, event_name -), --- Calculate the number of days since each user's initial quickplay event -days_since_event_table AS ( - SELECT - events.user_pseudo_id, - events.event_name AS event_cohort, - events.event_cohort_date, - days.user_active_date, - DATE_DIFF(days.user_active_date, events.event_cohort_date, DAY) AS days_since_event - FROM - event_table events - LEFT JOIN - dates_active_table days ON events.user_pseudo_id = days.user_pseudo_id - WHERE - events.event_cohort_date <= days.user_active_date -), --- Calculate the weeks since each user's initial quickplay event and count the active days in each week -weeks_retention AS ( - SELECT - event_cohort, - user_pseudo_id, - CAST(CASE WHEN days_since_event = 0 THEN 0 ELSE CEIL(days_since_event / 7) END AS INTEGER) AS weeks_since_event, - COUNT(DISTINCT days_since_event) AS days_active_since_event -- Count Days Active in Week - FROM - days_since_event_table - GROUP BY - event_cohort, user_pseudo_id, weeks_since_event -), --- Aggregate the weekly retention data -aggregated_weekly_retention_table AS ( - SELECT - event_cohort, - weeks_since_event, - SUM(days_active_since_event) AS weekly_days_active, - COUNT(DISTINCT user_pseudo_id) AS retained_users - FROM - weeks_retention - GROUP BY - event_cohort, weeks_since_event -), -RETENTION_INFO AS ( -SELECT - event_cohort, - weeks_since_event, - weekly_days_active, - retained_users, - (retained_users / MAX(retained_users) OVER (PARTITION BY event_cohort)) AS retention_rate -FROM - aggregated_weekly_retention_table -ORDER BY - event_cohort, weeks_since_event -) +WITH dates AS + (SELECT DATE('2018-07-02') AS start_date, + DATE('2018-07-16') AS end_date), -- Create a table of active dates for each user within the specified date range +dates_active_table AS + (SELECT user_pseudo_id, + PARSE_DATE('%Y%m%d', `event_date`) AS user_active_date + FROM `firebase-public-project.analytics_153293282.events_*` + WHERE event_name = 'session_start' + AND PARSE_DATE('%Y%m%d', `event_date`) BETWEEN + (SELECT start_date + FROM dates) AND + (SELECT end_date + FROM dates) + GROUP BY user_pseudo_id, + user_active_date), -- Create a table of the earliest quickplay event date for each user within the specified date range +event_table AS + (SELECT user_pseudo_id, + event_name, + MIN(PARSE_DATE('%Y%m%d', `event_date`)) AS event_cohort_date + FROM `firebase-public-project.analytics_153293282.events_*` + WHERE event_name IN ('level_start_quickplay', + 'level_end_quickplay', + 'level_complete_quickplay', + 'level_fail_quickplay', + 'level_reset_quickplay', + 'level_retry_quickplay') + AND PARSE_DATE('%Y%m%d', `event_date`) BETWEEN + (SELECT start_date + FROM dates) AND + (SELECT end_date + FROM dates) + GROUP BY user_pseudo_id, + event_name), -- Calculate the number of days since each user's initial quickplay event +days_since_event_table AS + (SELECT events.user_pseudo_id, + events.event_name AS event_cohort, + events.event_cohort_date, + days.user_active_date, + DATE_DIFF(days.user_active_date, events.event_cohort_date, DAY) AS days_since_event + FROM event_table EVENTS + LEFT JOIN dates_active_table days ON events.user_pseudo_id = days.user_pseudo_id + WHERE events.event_cohort_date <= days.user_active_date), -- Calculate the weeks since each user's initial quickplay event and count the active days in each week +weeks_retention AS + (SELECT event_cohort, + user_pseudo_id, + CAST(CASE + WHEN days_since_event = 0 THEN 0 + ELSE CEIL(days_since_event / 7) + END AS INTEGER) AS weeks_since_event, + COUNT(DISTINCT days_since_event) AS days_active_since_event -- Count Days Active in Week -SELECT event_cohort, retention_rate -FROM -RETENTION_INFO + FROM days_since_event_table + GROUP BY event_cohort, + user_pseudo_id, + weeks_since_event), -- Aggregate the weekly retention data +aggregated_weekly_retention_table AS + (SELECT event_cohort, + weeks_since_event, + SUM(days_active_since_event) AS weekly_days_active, + COUNT(DISTINCT user_pseudo_id) AS retained_users + FROM weeks_retention + GROUP BY event_cohort, + weeks_since_event), + RETENTION_INFO AS + (SELECT event_cohort, + weeks_since_event, + weekly_days_active, + retained_users, + (retained_users / MAX(retained_users) OVER (PARTITION BY event_cohort)) AS retention_rate + FROM aggregated_weekly_retention_table + ORDER BY event_cohort, + weeks_since_event) +SELECT event_cohort, + retention_rate +FROM RETENTION_INFO WHERE weeks_since_event = 2 diff --git a/spider2/queries/lite_ga022.sql b/spider2/queries/lite_ga022.sql index 015db1ae97c9ec633e0873c5ce1bba7790591218..594a1008d2236d419bba13ceb43245d61b909700 100644 --- a/spider2/queries/lite_ga022.sql +++ b/spider2/queries/lite_ga022.sql @@ -1,47 +1,43 @@ -WITH analytics_data AS ( - SELECT user_pseudo_id, event_timestamp, event_name, - UNIX_MICROS(TIMESTAMP("2018-09-01 00:00:00", "+8:00")) AS start_day, - 3600*1000*1000*24*7 AS one_week_micros - FROM `firebase-public-project.analytics_153293282.events_*` - WHERE _table_suffix BETWEEN '20180901' AND '20180930' -) +WITH analytics_data AS + (SELECT user_pseudo_id, + event_timestamp, + event_name, + UNIX_MICROS(TIMESTAMP("2018-09-01 00:00:00", "+8:00")) AS start_day, + 3600*1000*1000*24*7 AS one_week_micros + FROM `firebase-public-project.analytics_153293282.events_*` + WHERE _table_suffix BETWEEN '20180901' AND '20180930') +SELECT week_1_cohort / week_0_cohort AS week_1_pct, + week_2_cohort / week_0_cohort AS week_2_pct, + week_3_cohort / week_0_cohort AS week_3_pct +FROM + (WITH week_3_users AS + (SELECT DISTINCT user_pseudo_id + FROM analytics_data + WHERE event_timestamp BETWEEN start_day+(3*one_week_micros) AND start_day+(4*one_week_micros)), + week_2_users AS + (SELECT DISTINCT user_pseudo_id + FROM analytics_data + WHERE event_timestamp BETWEEN start_day+(2*one_week_micros) AND start_day+(3*one_week_micros)), + week_1_users AS + (SELECT DISTINCT user_pseudo_id + FROM analytics_data + WHERE event_timestamp BETWEEN start_day+(1*one_week_micros) AND start_day+(2*one_week_micros)), + week_0_users AS + (SELECT DISTINCT user_pseudo_id + FROM analytics_data + WHERE event_name = 'first_open' + AND event_timestamp BETWEEN start_day AND start_day+(1*one_week_micros)) SELECT + (SELECT count(*) + FROM week_0_users) AS week_0_cohort, -SELECT - week_1_cohort / week_0_cohort AS week_1_pct, - week_2_cohort / week_0_cohort AS week_2_pct, - week_3_cohort / week_0_cohort AS week_3_pct -FROM ( - WITH week_3_users AS ( - SELECT DISTINCT user_pseudo_id - FROM analytics_data - WHERE event_timestamp BETWEEN start_day+(3*one_week_micros) AND start_day+(4*one_week_micros) - ), - week_2_users AS ( - SELECT DISTINCT user_pseudo_id - FROM analytics_data - WHERE event_timestamp BETWEEN start_day+(2*one_week_micros) AND start_day+(3*one_week_micros) - ), - week_1_users AS ( - SELECT DISTINCT user_pseudo_id - FROM analytics_data - WHERE event_timestamp BETWEEN start_day+(1*one_week_micros) AND start_day+(2*one_week_micros) - ), - week_0_users AS ( - SELECT DISTINCT user_pseudo_id - FROM analytics_data - WHERE event_name = 'first_open' - AND event_timestamp BETWEEN start_day AND start_day+(1*one_week_micros) - ) - SELECT - (SELECT count(*) - FROM week_0_users) AS week_0_cohort, - (SELECT count(*) - FROM week_1_users - JOIN week_0_users USING (user_pseudo_id)) AS week_1_cohort, - (SELECT count(*) - FROM week_2_users - JOIN week_0_users USING (user_pseudo_id)) AS week_2_cohort, - (SELECT count(*) - FROM week_3_users - JOIN week_0_users USING (user_pseudo_id)) AS week_3_cohort -) + (SELECT count(*) + FROM week_1_users + JOIN week_0_users USING (user_pseudo_id)) AS week_1_cohort, + + (SELECT count(*) + FROM week_2_users + JOIN week_0_users USING (user_pseudo_id)) AS week_2_cohort, + + (SELECT count(*) + FROM week_3_users + JOIN week_0_users USING (user_pseudo_id)) AS week_3_cohort) diff --git a/spider2/queries/lite_ga028.sql b/spider2/queries/lite_ga028.sql index 4955073dbd06eea4ccb6cc7ccd2a0ff5b1e1f697..485740c2a2353b408b3cc643cefff98d0c8bfb73 100644 --- a/spider2/queries/lite_ga028.sql +++ b/spider2/queries/lite_ga028.sql @@ -1,81 +1,53 @@ -WITH dates AS ( - SELECT - DATE('2018-07-02') AS start_date, - DATE('2018-10-02') AS end_date, - DATE_ADD(DATE_TRUNC(DATE('2018-10-02'), WEEK(TUESDAY)), INTERVAL -4 WEEK) AS min_date -), - -date_table AS ( - SELECT DISTINCT - PARSE_DATE('%Y%m%d', `event_date`) AS event_date, - user_pseudo_id, - CASE - WHEN DATE_DIFF(PARSE_DATE('%Y%m%d', `event_date`), DATE(TIMESTAMP_MICROS(user_first_touch_timestamp)), DAY) = 0 - THEN 1 - ELSE 0 - END AS is_new_user - FROM - `firebase-public-project.analytics_153293282.events_*` - WHERE - event_name = 'session_start' -), - -new_user_list AS ( - SELECT DISTINCT - user_pseudo_id, - event_date - FROM - date_table - WHERE - is_new_user = 1 -), - -days_since_start_table AS ( - SELECT DISTINCT - is_new_user, - nu.event_date AS date_cohort, - dt.user_pseudo_id, - dt.event_date, - DATE_DIFF(dt.event_date, nu.event_date, DAY) AS days_since_start - FROM - date_table dt - JOIN - new_user_list nu ON dt.user_pseudo_id = nu.user_pseudo_id -), - -weeks_retention AS ( - SELECT - date_cohort, - DATE_TRUNC(date_cohort, WEEK(MONDAY)) AS week_cohort, - user_pseudo_id, - days_since_start, - CASE - WHEN days_since_start = 0 - THEN 0 - ELSE CEIL(days_since_start / 7) - END AS weeks_since_start - FROM - days_since_start_table -), -RETENTION_INFO AS ( - SELECT - week_cohort, - weeks_since_start, - COUNT(DISTINCT user_pseudo_id) AS retained_users - FROM - weeks_retention - WHERE - week_cohort <= (SELECT min_date FROM dates) - GROUP BY - week_cohort, - weeks_since_start - HAVING - weeks_since_start <= 4 - ORDER BY - week_cohort, - weeks_since_start -) - -SELECT weeks_since_start, retained_users +WITH dates AS + (SELECT DATE('2018-07-02') AS start_date, + DATE('2018-10-02') AS end_date, + DATE_ADD(DATE_TRUNC(DATE('2018-10-02'), WEEK(TUESDAY)), INTERVAL -4 WEEK) AS min_date), + date_table AS + (SELECT DISTINCT PARSE_DATE('%Y%m%d', `event_date`) AS event_date, + user_pseudo_id, + CASE + WHEN DATE_DIFF(PARSE_DATE('%Y%m%d', `event_date`), DATE(TIMESTAMP_MICROS(user_first_touch_timestamp)), DAY) = 0 THEN 1 + ELSE 0 + END AS is_new_user + FROM `firebase-public-project.analytics_153293282.events_*` + WHERE event_name = 'session_start'), + new_user_list AS + (SELECT DISTINCT user_pseudo_id, + event_date + FROM date_table + WHERE is_new_user = 1), + days_since_start_table AS + (SELECT DISTINCT is_new_user, + nu.event_date AS date_cohort, + dt.user_pseudo_id, + dt.event_date, + DATE_DIFF(dt.event_date, nu.event_date, DAY) AS days_since_start + FROM date_table dt + JOIN new_user_list nu ON dt.user_pseudo_id = nu.user_pseudo_id), + weeks_retention AS + (SELECT date_cohort, + DATE_TRUNC(date_cohort, WEEK(MONDAY)) AS week_cohort, + user_pseudo_id, + days_since_start, + CASE + WHEN days_since_start = 0 THEN 0 + ELSE CEIL(days_since_start / 7) + END AS weeks_since_start + FROM days_since_start_table), + RETENTION_INFO AS + (SELECT week_cohort, + weeks_since_start, + COUNT(DISTINCT user_pseudo_id) AS retained_users + FROM weeks_retention + WHERE week_cohort <= + (SELECT min_date + FROM dates) + GROUP BY week_cohort, + weeks_since_start + HAVING weeks_since_start <= 4 + ORDER BY week_cohort, + weeks_since_start) +SELECT weeks_since_start, + retained_users FROM RETENTION_INFO WHERE week_cohort = DATE('2018-07-02') diff --git a/spider2/queries/lite_local003.sql b/spider2/queries/lite_local003.sql index e33eb1453dc4600378f022b3c8eb73165db2bb63..988fca4906d4e7be2bf6aa70fc36826a0397d7b9 100644 --- a/spider2/queries/lite_local003.sql +++ b/spider2/queries/lite_local003.sql @@ -1,55 +1,93 @@ -WITH RecencyScore AS ( - SELECT customer_unique_id, - MAX(order_purchase_timestamp) AS last_purchase, - NTILE(5) OVER (ORDER BY MAX(order_purchase_timestamp) DESC) AS recency - FROM orders - JOIN customers USING (customer_id) - WHERE order_status = 'delivered' - GROUP BY customer_unique_id -), -FrequencyScore AS ( - SELECT customer_unique_id, - COUNT(order_id) AS total_orders, - NTILE(5) OVER (ORDER BY COUNT(order_id) DESC) AS frequency - FROM orders - JOIN customers USING (customer_id) - WHERE order_status = 'delivered' - GROUP BY customer_unique_id -), -MonetaryScore AS ( - SELECT customer_unique_id, - SUM(price) AS total_spent, - NTILE(5) OVER (ORDER BY SUM(price) DESC) AS monetary - FROM orders - JOIN order_items USING (order_id) - JOIN customers USING (customer_id) - WHERE order_status = 'delivered' - GROUP BY customer_unique_id -), - --- 2. Assign each customer to a group -RFM AS ( - SELECT last_purchase, total_orders, total_spent, - CASE - WHEN recency = 1 AND frequency + monetary IN (1, 2, 3, 4) THEN "Champions" - WHEN recency IN (4, 5) AND frequency + monetary IN (1, 2) THEN "Can't Lose Them" - WHEN recency IN (4, 5) AND frequency + monetary IN (3, 4, 5, 6) THEN "Hibernating" - WHEN recency IN (4, 5) AND frequency + monetary IN (7, 8, 9, 10) THEN "Lost" - WHEN recency IN (2, 3) AND frequency + monetary IN (1, 2, 3, 4) THEN "Loyal Customers" - WHEN recency = 3 AND frequency + monetary IN (5, 6) THEN "Needs Attention" - WHEN recency = 1 AND frequency + monetary IN (7, 8) THEN "Recent Users" - WHEN recency = 1 AND frequency + monetary IN (5, 6) OR - recency = 2 AND frequency + monetary IN (5, 6, 7, 8) THEN "Potentital Loyalists" - WHEN recency = 1 AND frequency + monetary IN (9, 10) THEN "Price Sensitive" - WHEN recency = 2 AND frequency + monetary IN (9, 10) THEN "Promising" - WHEN recency = 3 AND frequency + monetary IN (7, 8, 9, 10) THEN "About to Sleep" - END AS RFM_Bucket - FROM RecencyScore - JOIN FrequencyScore USING (customer_unique_id) - JOIN MonetaryScore USING (customer_unique_id) -) - -SELECT RFM_Bucket, +WITH RecencyScore AS + (SELECT customer_unique_id, + MAX(order_purchase_timestamp) AS last_purchase, + NTILE(5) OVER ( + ORDER BY MAX(order_purchase_timestamp) DESC) AS recency + FROM orders + JOIN customers USING (customer_id) + WHERE order_status = 'delivered' + GROUP BY customer_unique_id), + FrequencyScore AS + (SELECT customer_unique_id, + COUNT(order_id) AS total_orders, + NTILE(5) OVER ( + ORDER BY COUNT(order_id) DESC) AS frequency + FROM orders + JOIN customers USING (customer_id) + WHERE order_status = 'delivered' + GROUP BY customer_unique_id), + MonetaryScore AS + (SELECT customer_unique_id, + SUM(price) AS total_spent, + NTILE(5) OVER ( + ORDER BY SUM(price) DESC) AS monetary + FROM orders + JOIN order_items USING (order_id) + JOIN customers USING (customer_id) + WHERE order_status = 'delivered' + GROUP BY customer_unique_id), -- 2. Assign each customer to a group +RFM AS + (SELECT last_purchase, + total_orders, + total_spent, + CASE + WHEN recency = 1 + AND frequency + monetary IN (1, + 2, + 3, + 4) THEN "Champions" + WHEN recency IN (4, + 5) + AND frequency + monetary IN (1, + 2) THEN "Can't Lose Them" + WHEN recency IN (4, + 5) + AND frequency + monetary IN (3, + 4, + 5, + 6) THEN "Hibernating" + WHEN recency IN (4, + 5) + AND frequency + monetary IN (7, + 8, + 9, + 10) THEN "Lost" + WHEN recency IN (2, + 3) + AND frequency + monetary IN (1, + 2, + 3, + 4) THEN "Loyal Customers" + WHEN recency = 3 + AND frequency + monetary IN (5, + 6) THEN "Needs Attention" + WHEN recency = 1 + AND frequency + monetary IN (7, + 8) THEN "Recent Users" + WHEN recency = 1 + AND frequency + monetary IN (5, + 6) + OR recency = 2 + AND frequency + monetary IN (5, + 6, + 7, + 8) THEN "Potentital Loyalists" + WHEN recency = 1 + AND frequency + monetary IN (9, + 10) THEN "Price Sensitive" + WHEN recency = 2 + AND frequency + monetary IN (9, + 10) THEN "Promising" + WHEN recency = 3 + AND frequency + monetary IN (7, + 8, + 9, + 10) THEN "About to Sleep" + END AS RFM_Bucket + FROM RecencyScore + JOIN FrequencyScore USING (customer_unique_id) + JOIN MonetaryScore USING (customer_unique_id)) +SELECT RFM_Bucket, AVG(total_spent / total_orders) AS avg_sales_per_customer FROM RFM GROUP BY RFM_Bucket diff --git a/spider2/queries/lite_local004.sql b/spider2/queries/lite_local004.sql index 43a6a6cb2ff08db40238149f92bd953fb32b6d43..4cb82afcb30377e29644f858345ea812ab7c9e44 100644 --- a/spider2/queries/lite_local004.sql +++ b/spider2/queries/lite_local004.sql @@ -1,25 +1,20 @@ -WITH CustomerData AS ( - SELECT - customer_unique_id, - COUNT(DISTINCT orders.order_id) AS order_count, - SUM(payment_value) AS total_payment, - JULIANDAY(MIN(order_purchase_timestamp)) AS first_order_day, - JULIANDAY(MAX(order_purchase_timestamp)) AS last_order_day - FROM customers - JOIN orders USING (customer_id) - JOIN order_payments USING (order_id) - GROUP BY customer_unique_id -) -SELECT - customer_unique_id, - order_count AS PF, - ROUND(total_payment / order_count, 2) AS AOV, - CASE - WHEN (last_order_day - first_order_day) < 7 THEN - 1 - ELSE - (last_order_day - first_order_day) / 7 - END AS ACL +WITH CustomerData AS + (SELECT customer_unique_id, + COUNT(DISTINCT orders.order_id) AS order_count, + SUM(payment_value) AS total_payment, + JULIANDAY(MIN(order_purchase_timestamp)) AS first_order_day, + JULIANDAY(MAX(order_purchase_timestamp)) AS last_order_day + FROM customers + JOIN orders USING (customer_id) + JOIN order_payments USING (order_id) + GROUP BY customer_unique_id) +SELECT customer_unique_id, + order_count AS PF, + ROUND(total_payment / order_count, 2) AS AOV, + CASE + WHEN (last_order_day - first_order_day) < 7 THEN 1 + ELSE (last_order_day - first_order_day) / 7 + END AS ACL FROM CustomerData ORDER BY AOV DESC LIMIT 3 diff --git a/spider2/queries/lite_local008.sql b/spider2/queries/lite_local008.sql index 52dad9633713c45d70ff234ce28ee8cda69ddf62..7a89a3c6d832d75c4bbcc158804dd2e081aa1100 100644 --- a/spider2/queries/lite_local008.sql +++ b/spider2/queries/lite_local008.sql @@ -1,34 +1,42 @@ -WITH player_stats AS ( - SELECT - b.player_id, - p.name_given AS player_name, - SUM(b.g) AS games_played, - SUM(b.r) AS runs, - SUM(b.h) AS hits, - SUM(b.hr) AS home_runs - FROM player p - JOIN batting b ON p.player_id = b.player_id - GROUP BY b.player_id, p.name_given -) - -SELECT 'Games Played' AS Category, player_name AS Player_Name, games_played AS Batting_Table_Topper +WITH player_stats AS + (SELECT b.player_id, + p.name_given AS player_name, + SUM(b.g) AS games_played, + SUM(b.r) AS runs, + SUM(b.h) AS hits, + SUM(b.hr) AS home_runs + FROM player p + JOIN batting b ON p.player_id = b.player_id + GROUP BY b.player_id, + p.name_given) +SELECT 'Games Played' AS Category, + player_name AS Player_Name, + games_played AS Batting_Table_Topper FROM player_stats -WHERE games_played = (SELECT MAX(games_played) FROM player_stats) - +WHERE games_played = + (SELECT MAX(games_played) + FROM player_stats) UNION ALL - -SELECT 'Runs' AS Category, player_name AS Player_Name, runs AS Batting_Table_Topper +SELECT 'Runs' AS Category, + player_name AS Player_Name, + runs AS Batting_Table_Topper FROM player_stats -WHERE runs = (SELECT MAX(runs) FROM player_stats) - +WHERE runs = + (SELECT MAX(runs) + FROM player_stats) UNION ALL - -SELECT 'Hits' AS Category, player_name AS Player_Name, hits AS Batting_Table_Topper +SELECT 'Hits' AS Category, + player_name AS Player_Name, + hits AS Batting_Table_Topper FROM player_stats -WHERE hits = (SELECT MAX(hits) FROM player_stats) - +WHERE hits = + (SELECT MAX(hits) + FROM player_stats) UNION ALL - -SELECT 'Home Runs' AS Category, player_name AS Player_Name, home_runs AS Batting_Table_Topper +SELECT 'Home Runs' AS Category, + player_name AS Player_Name, + home_runs AS Batting_Table_Topper FROM player_stats -WHERE home_runs = (SELECT MAX(home_runs) FROM player_stats); +WHERE home_runs = + (SELECT MAX(home_runs) + FROM player_stats); diff --git a/spider2/queries/lite_local017.sql b/spider2/queries/lite_local017.sql index 6a04434e926678e4918f53947e665a54c4937fe1..8c869d75513b02e0a65021c8e574b03606d45f07 100644 --- a/spider2/queries/lite_local017.sql +++ b/spider2/queries/lite_local017.sql @@ -1,72 +1,45 @@ -WITH AnnualTotals AS ( - SELECT - STRFTIME('%Y', collision_date) AS Year, - COUNT(case_id) AS AnnualTotal - FROM - collisions - GROUP BY - Year -), -CategoryTotals AS ( - SELECT - STRFTIME('%Y', collision_date) AS Year, - pcf_violation_category AS Category, - COUNT(case_id) AS Subtotal - FROM - collisions - GROUP BY - Year, Category -), -CategoryPercentages AS ( - SELECT - ct.Year, - ct.Category, - ROUND((ct.Subtotal * 100.0) / at.AnnualTotal, 1) AS PercentageOfAnnualRoadIncidents - FROM - CategoryTotals ct - JOIN - AnnualTotals at ON ct.Year = at.Year -), -RankedCategories AS ( - SELECT - Year, - Category, - PercentageOfAnnualRoadIncidents, - ROW_NUMBER() OVER (PARTITION BY Year ORDER BY PercentageOfAnnualRoadIncidents DESC) AS Rank - FROM - CategoryPercentages -), -TopTwoCategories AS ( - SELECT - Year, - GROUP_CONCAT(Category, ', ') AS TopCategories - FROM - RankedCategories - WHERE - Rank <= 2 - GROUP BY - Year -), -UniqueYear AS ( - SELECT - Year - FROM - TopTwoCategories - GROUP BY - TopCategories - HAVING COUNT(Year) = 1 -), -results AS ( -SELECT - rc.Year, - rc.Category, - rc.PercentageOfAnnualRoadIncidents -FROM - UniqueYear u -JOIN - RankedCategories rc ON u.Year = rc.Year -WHERE - rc.Rank <= 2 -) - -SELECT distinct Year FROM results +WITH AnnualTotals AS + (SELECT STRFTIME('%Y', collision_date) AS YEAR, + COUNT(case_id) AS AnnualTotal + FROM collisions + GROUP BY YEAR), + CategoryTotals AS + (SELECT STRFTIME('%Y', collision_date) AS YEAR, + pcf_violation_category AS Category, + COUNT(case_id) AS Subtotal + FROM collisions + GROUP BY YEAR, + Category), + CategoryPercentages AS + (SELECT ct.Year, + ct.Category, + ROUND((ct.Subtotal * 100.0) / at.AnnualTotal, 1) AS PercentageOfAnnualRoadIncidents + FROM CategoryTotals ct + JOIN AnnualTotals AT ON ct.Year = at.Year), + RankedCategories AS + (SELECT YEAR, + Category, + PercentageOfAnnualRoadIncidents, + ROW_NUMBER() OVER (PARTITION BY YEAR + ORDER BY PercentageOfAnnualRoadIncidents DESC) AS Rank + FROM CategoryPercentages), + TopTwoCategories AS + (SELECT YEAR, + GROUP_CONCAT(Category, ', ') AS TopCategories + FROM RankedCategories + WHERE Rank <= 2 + GROUP BY YEAR), + UniqueYear AS + (SELECT YEAR + FROM TopTwoCategories + GROUP BY TopCategories + HAVING COUNT(YEAR) = 1), + results AS + (SELECT rc.Year, + rc.Category, + rc.PercentageOfAnnualRoadIncidents + FROM UniqueYear u + JOIN RankedCategories rc ON u.Year = rc.Year + WHERE rc.Rank <= 2) +SELECT DISTINCT YEAR +FROM results diff --git a/spider2/queries/lite_local019.sql b/spider2/queries/lite_local019.sql index 6b519bc87379fe825207eff01749249c149fedc9..b3f5d373900992c5458ee65d9c869bbdfe49289d 100644 --- a/spider2/queries/lite_local019.sql +++ b/spider2/queries/lite_local019.sql @@ -1,48 +1,38 @@ -WITH MatchDetails AS ( - SELECT - b.name AS titles, - m.duration AS match_duration, - w1.name || ' vs ' || w2.name AS matches, - m.win_type AS win_type, - l.name AS location, - e.name AS event, - ROW_NUMBER() OVER (PARTITION BY b.name ORDER BY m.duration ASC) AS rank - FROM - Belts b - INNER JOIN Matches m ON m.title_id = b.id - INNER JOIN Wrestlers w1 ON w1.id = m.winner_id - INNER JOIN Wrestlers w2 ON w2.id = m.loser_id - INNER JOIN Cards c ON c.id = m.card_id - INNER JOIN Locations l ON l.id = c.location_id - INNER JOIN Events e ON e.id = c.event_id - INNER JOIN Promotions p ON p.id = c.promotion_id - WHERE - p.name = 'NXT' - AND m.duration <> '' - AND b.name <> '' - AND b.name NOT IN ( - SELECT name - FROM Belts - WHERE name LIKE '%title change%' - ) -), -Rank1 AS ( -SELECT - titles, - match_duration, - matches, - win_type, - location, - event -FROM - MatchDetails -WHERE - rank = 1 -) -SELECT - SUBSTR(matches, 1, INSTR(matches, ' vs ') - 1) AS wrestler1, - SUBSTR(matches, INSTR(matches, ' vs ') + 4) AS wrestler2 -FROM -Rank1 -ORDER BY match_duration +WITH MatchDetails AS + (SELECT b.name AS titles, + m.duration AS match_duration, + w1.name || ' vs ' || w2.name AS matches, + m.win_type AS win_type, + l.name AS LOCATION, + e.name AS event, + ROW_NUMBER() OVER (PARTITION BY b.name + ORDER BY m.duration ASC) AS rank + FROM Belts b + INNER JOIN Matches m ON m.title_id = b.id + INNER JOIN Wrestlers w1 ON w1.id = m.winner_id + INNER JOIN Wrestlers w2 ON w2.id = m.loser_id + INNER JOIN Cards c ON c.id = m.card_id + INNER JOIN Locations l ON l.id = c.location_id + INNER JOIN EVENTS e ON e.id = c.event_id + INNER JOIN Promotions p ON p.id = c.promotion_id + WHERE p.name = 'NXT' + AND m.duration <> '' + AND b.name <> '' + AND b.name NOT IN + (SELECT name + FROM Belts + WHERE name LIKE '%title change%')), + Rank1 AS + (SELECT titles, + match_duration, + matches, + win_type, + LOCATION, + event + FROM MatchDetails + WHERE rank = 1) +SELECT SUBSTR(matches, 1, INSTR(matches, ' vs ') - 1) AS wrestler1, + SUBSTR(matches, INSTR(matches, ' vs ') + 4) AS wrestler2 +FROM Rank1 +ORDER BY match_duration LIMIT 1 diff --git a/spider2/queries/lite_local022.sql b/spider2/queries/lite_local022.sql index 391c0fb47423e56322fc1cf10dba2d9e5b5d9e7f..ba9c499850311319d40f4be06611ace3f85b4154 100644 --- a/spider2/queries/lite_local022.sql +++ b/spider2/queries/lite_local022.sql @@ -1,63 +1,33 @@ -- Step 1: Calculate players' total runs in each match -WITH player_runs AS ( - SELECT - bbb.striker AS player_id, - bbb.match_id, - SUM(bsc.runs_scored) AS total_runs - FROM - ball_by_ball AS bbb - JOIN - batsman_scored AS bsc - ON - bbb.match_id = bsc.match_id - AND bbb.over_id = bsc.over_id - AND bbb.ball_id = bsc.ball_id - AND bbb.innings_no = bsc.innings_no - GROUP BY - bbb.striker, bbb.match_id - HAVING - SUM(bsc.runs_scored) >= 100 -), +WITH player_runs AS + (SELECT bbb.striker AS player_id, + bbb.match_id, + SUM(bsc.runs_scored) AS total_runs + FROM ball_by_ball AS bbb + JOIN batsman_scored AS bsc ON bbb.match_id = bsc.match_id + AND bbb.over_id = bsc.over_id + AND bbb.ball_id = bsc.ball_id + AND bbb.innings_no = bsc.innings_no + GROUP BY bbb.striker, + bbb.match_id + HAVING SUM(bsc.runs_scored) >= 100), -- Step 2: Identify losing teams for each match +losing_teams AS + (SELECT match_id, + CASE + WHEN match_winner = team_1 THEN team_2 + ELSE team_1 + END AS loser + FROM MATCH), -- Step 3: Combine the above results to get players who scored 100 or more runs in losing teams +players_in_losing_teams AS + (SELECT pr.player_id, + pr.match_id + FROM player_runs AS pr + JOIN losing_teams AS lt ON pr.match_id = lt.match_id + JOIN player_match AS pm ON pr.player_id = pm.player_id + AND pr.match_id = pm.match_id + AND lt.loser = pm.team_id) -- Step 4: Select distinct player names from the player table --- Step 2: Identify losing teams for each match -losing_teams AS ( - SELECT - match_id, - CASE - WHEN match_winner = team_1 THEN team_2 - ELSE team_1 - END AS loser - FROM - match -), - --- Step 3: Combine the above results to get players who scored 100 or more runs in losing teams -players_in_losing_teams AS ( - SELECT - pr.player_id, - pr.match_id - FROM - player_runs AS pr - JOIN - losing_teams AS lt - ON - pr.match_id = lt.match_id - JOIN - player_match AS pm - ON - pr.player_id = pm.player_id - AND pr.match_id = pm.match_id - AND lt.loser = pm.team_id -) - --- Step 4: Select distinct player names from the player table -SELECT DISTINCT - p.player_name -FROM - player AS p -JOIN - players_in_losing_teams AS plt -ON - p.player_id = plt.player_id -ORDER BY - p.player_name; +SELECT DISTINCT p.player_name +FROM player AS p +JOIN players_in_losing_teams AS plt ON p.player_id = plt.player_id +ORDER BY p.player_name; diff --git a/spider2/queries/lite_local023.sql b/spider2/queries/lite_local023.sql index 1607916c64e67693575d5d86ac1f949fc5345272..5cb2c8b17f4d5b6dd7d0c165f6f21e314ee667c5 100644 --- a/spider2/queries/lite_local023.sql +++ b/spider2/queries/lite_local023.sql @@ -1,48 +1,34 @@ -WITH runs_scored AS ( - SELECT - bb.striker AS player_id, - bb.match_id, - bs.runs_scored AS runs - FROM - ball_by_ball AS bb - JOIN - batsman_scored AS bs ON bb.match_id = bs.match_id - AND bb.over_id = bs.over_id - AND bb.ball_id = bs.ball_id - AND bb.innings_no = bs.innings_no - WHERE - bb.match_id IN (SELECT match_id FROM match WHERE season_id = 5) -), -total_runs AS ( - SELECT - player_id, - match_id, - SUM(runs) AS total_runs - FROM - runs_scored - GROUP BY - player_id, match_id -), -batting_averages AS ( - SELECT - player_id, - SUM(total_runs) AS runs, - COUNT(match_id) AS num_matches, - ROUND(SUM(total_runs) / CAST(COUNT(match_id) AS FLOAT), 3) AS batting_avg - FROM - total_runs - GROUP BY - player_id - ORDER BY - batting_avg DESC - LIMIT 5 -) -SELECT - p.player_name, - b.batting_avg -FROM - player AS p -JOIN - batting_averages AS b ON p.player_id = b.player_id -ORDER BY - b.batting_avg DESC; +WITH runs_scored AS + (SELECT bb.striker AS player_id, + bb.match_id, + bs.runs_scored AS runs + FROM ball_by_ball AS bb + JOIN batsman_scored AS bs ON bb.match_id = bs.match_id + AND bb.over_id = bs.over_id + AND bb.ball_id = bs.ball_id + AND bb.innings_no = bs.innings_no + WHERE bb.match_id IN + (SELECT match_id + FROM MATCH + WHERE season_id = 5)), + total_runs AS + (SELECT player_id, + match_id, + SUM(runs) AS total_runs + FROM runs_scored + GROUP BY player_id, + match_id), + batting_averages AS + (SELECT player_id, + SUM(total_runs) AS runs, + COUNT(match_id) AS num_matches, + ROUND(SUM(total_runs) / CAST(COUNT(match_id) AS FLOAT), 3) AS batting_avg + FROM total_runs + GROUP BY player_id + ORDER BY batting_avg DESC + LIMIT 5) +SELECT p.player_name, + b.batting_avg +FROM player AS p +JOIN batting_averages AS b ON p.player_id = b.player_id +ORDER BY b.batting_avg DESC; diff --git a/spider2/queries/lite_local029.sql b/spider2/queries/lite_local029.sql index cd60e319e4b4b67ca13bc2c212e522db791b66ec..205d1ab870af7d46658cc8488a42f4990c05cd40 100644 --- a/spider2/queries/lite_local029.sql +++ b/spider2/queries/lite_local029.sql @@ -1,21 +1,19 @@ -WITH customer_orders AS ( - SELECT - c.customer_unique_id, - COUNT(o.order_id) AS Total_Orders_By_Customers, - AVG(p.payment_value) AS Average_Payment_By_Customer, - c.customer_city, - c.customer_state - FROM olist_customers c - JOIN olist_orders o ON c.customer_id = o.customer_id - JOIN olist_order_payments p ON o.order_id = p.order_id - WHERE o.order_status = 'delivered' - GROUP BY c.customer_unique_id, c.customer_city, c.customer_state -) - -SELECT - Average_Payment_By_Customer, - customer_city, - customer_state +WITH customer_orders AS + (SELECT c.customer_unique_id, + COUNT(o.order_id) AS Total_Orders_By_Customers, + AVG(p.payment_value) AS Average_Payment_By_Customer, + c.customer_city, + c.customer_state + FROM olist_customers c + JOIN olist_orders o ON c.customer_id = o.customer_id + JOIN olist_order_payments p ON o.order_id = p.order_id + WHERE o.order_status = 'delivered' + GROUP BY c.customer_unique_id, + c.customer_city, + c.customer_state) +SELECT Average_Payment_By_Customer, + customer_city, + customer_state FROM customer_orders ORDER BY Total_Orders_By_Customers DESC LIMIT 3; diff --git a/spider2/queries/lite_local038.sql b/spider2/queries/lite_local038.sql index 5c53835add8ef7d0334229d917206e95c6b29c39..5f58382eaa25cba2952c4c080be6bf497cbb8523 100644 --- a/spider2/queries/lite_local038.sql +++ b/spider2/queries/lite_local038.sql @@ -1,21 +1,18 @@ -SELECT - actor.first_name || ' ' || actor.last_name AS full_name -FROM - actor +SELECT actor.first_name || ' ' || actor.last_name AS full_name +FROM actor INNER JOIN film_actor ON actor.actor_id = film_actor.actor_id INNER JOIN film ON film_actor.film_id = film.film_id INNER JOIN film_category ON film.film_id = film_category.film_id -INNER JOIN category ON film_category.category_id = category.category_id --- Join with the language table -INNER JOIN language ON film.language_id = language.language_id -WHERE - category.name = 'Children' AND - film.release_year BETWEEN 2000 AND 2010 AND - film.rating IN ('G', 'PG') AND - language.name = 'English' AND - film.length <= 120 -GROUP BY - actor.actor_id, actor.first_name, actor.last_name -ORDER BY - COUNT(film.film_id) DESC +INNER JOIN category ON film_category.category_id = category.category_id -- Join with the language table +INNER JOIN LANGUAGE ON film.language_id = language.language_id +WHERE category.name = 'Children' + AND film.release_year BETWEEN 2000 AND 2010 + AND film.rating IN ('G', + 'PG') + AND language.name = 'English' + AND film.length <= 120 +GROUP BY actor.actor_id, + actor.first_name, + actor.last_name +ORDER BY COUNT(film.film_id) DESC LIMIT 1; diff --git a/spider2/queries/lite_local039.sql b/spider2/queries/lite_local039.sql index 974820c3943f6c53d7b85665a9a8a21caecf2ab5..72daca73f996f77e5b91b6bd0ef3b59d0ca61442 100644 --- a/spider2/queries/lite_local039.sql +++ b/spider2/queries/lite_local039.sql @@ -1,7 +1,5 @@ -SELECT - category.name -FROM - category +SELECT category.name +FROM category INNER JOIN film_category USING (category_id) INNER JOIN film USING (film_id) INNER JOIN inventory USING (film_id) @@ -9,11 +7,8 @@ INNER JOIN rental USING (inventory_id) INNER JOIN customer USING (customer_id) INNER JOIN address USING (address_id) INNER JOIN city USING (city_id) -WHERE - LOWER(city.city) LIKE 'a%' OR city.city LIKE '%-%' -GROUP BY - category.name -ORDER BY - SUM(CAST((julianday(rental.return_date) - julianday(rental.rental_date)) * 24 AS INTEGER)) DESC -LIMIT - 1; +WHERE LOWER(city.city) LIKE 'a%' + OR city.city LIKE '%-%' +GROUP BY category.name +ORDER BY SUM(CAST((julianday(rental.return_date) - julianday(rental.rental_date)) * 24 AS INTEGER)) DESC +LIMIT 1; diff --git a/spider2/queries/lite_local058.sql b/spider2/queries/lite_local058.sql index 398756ce4f2392eadd9a8cb6cf29bd2c426dd55d..6103a4ee18caa5b29ddbe2eb7d48aefd249614df 100644 --- a/spider2/queries/lite_local058.sql +++ b/spider2/queries/lite_local058.sql @@ -1,35 +1,19 @@ -WITH UniqueProducts2020 AS ( - SELECT - dp.segment, - COUNT(DISTINCT fsm.product_code) AS unique_products_2020 - FROM - hardware_fact_sales_monthly fsm - JOIN - hardware_dim_product dp ON fsm.product_code = dp.product_code - WHERE - fsm.fiscal_year = 2020 - GROUP BY - dp.segment -), -UniqueProducts2021 AS ( - SELECT - dp.segment, - COUNT(DISTINCT fsm.product_code) AS unique_products_2021 - FROM - hardware_fact_sales_monthly fsm - JOIN - hardware_dim_product dp ON fsm.product_code = dp.product_code - WHERE - fsm.fiscal_year = 2021 - GROUP BY - dp.segment -) -SELECT - spc.segment, - spc.unique_products_2020 AS product_count_2020 -FROM - UniqueProducts2020 spc -JOIN - UniqueProducts2021 fup ON spc.segment = fup.segment -ORDER BY - ((fup.unique_products_2021 - spc.unique_products_2020) * 100.0) / (spc.unique_products_2020) DESC; +WITH UniqueProducts2020 AS + (SELECT dp.segment, + COUNT(DISTINCT fsm.product_code) AS unique_products_2020 + FROM hardware_fact_sales_monthly fsm + JOIN hardware_dim_product dp ON fsm.product_code = dp.product_code + WHERE fsm.fiscal_year = 2020 + GROUP BY dp.segment), + UniqueProducts2021 AS + (SELECT dp.segment, + COUNT(DISTINCT fsm.product_code) AS unique_products_2021 + FROM hardware_fact_sales_monthly fsm + JOIN hardware_dim_product dp ON fsm.product_code = dp.product_code + WHERE fsm.fiscal_year = 2021 + GROUP BY dp.segment) +SELECT spc.segment, + spc.unique_products_2020 AS product_count_2020 +FROM UniqueProducts2020 spc +JOIN UniqueProducts2021 fup ON spc.segment = fup.segment +ORDER BY ((fup.unique_products_2021 - spc.unique_products_2020) * 100.0) / (spc.unique_products_2020) DESC; diff --git a/spider2/queries/lite_local065.sql b/spider2/queries/lite_local065.sql index b10be5343d2c36f4b59d1e6e14f8aacd7741c6db..5173f8581d51ca2ab469f374cbab9f2e9a140f4e 100644 --- a/spider2/queries/lite_local065.sql +++ b/spider2/queries/lite_local065.sql @@ -1,58 +1,31 @@ -WITH get_extras_count AS ( - WITH RECURSIVE split_extras AS ( - SELECT - order_id, - TRIM(SUBSTR(extras, 1, INSTR(extras || ',', ',') - 1)) AS each_extra, - SUBSTR(extras || ',', INSTR(extras || ',', ',') + 1) AS remaining_extras - FROM - pizza_clean_customer_orders - UNION ALL - SELECT - order_id, - TRIM(SUBSTR(remaining_extras, 1, INSTR(remaining_extras, ',') - 1)) AS each_extra, - SUBSTR(remaining_extras, INSTR(remaining_extras, ',') + 1) - FROM - split_extras - WHERE - remaining_extras <> '' - ) - SELECT - order_id, - COUNT(each_extra) AS total_extras - FROM - split_extras - GROUP BY - order_id -), -calculate_totals AS ( - SELECT - t1.order_id, - t1.pizza_id, - SUM( - CASE - WHEN pizza_id = 1 THEN 12 - WHEN pizza_id = 2 THEN 10 - END - ) AS total_price, - t3.total_extras - FROM - pizza_clean_customer_orders AS t1 - JOIN - pizza_clean_runner_orders AS t2 - ON - t2.order_id = t1.order_id - LEFT JOIN - get_extras_count AS t3 - ON - t3.order_id = t1.order_id - WHERE - t2.cancellation IS NULL - GROUP BY - t1.order_id, - t1.pizza_id, - t3.total_extras -) -SELECT - SUM(total_price) + SUM(total_extras) AS total_income -FROM - calculate_totals; +WITH get_extras_count AS + (WITH RECURSIVE split_extras AS + (SELECT order_id, + TRIM(SUBSTR(extras, 1, INSTR(extras || ',', ',') - 1)) AS each_extra, + SUBSTR(extras || ',', INSTR(extras || ',', ',') + 1) AS remaining_extras + FROM pizza_clean_customer_orders + UNION ALL SELECT order_id, + TRIM(SUBSTR(remaining_extras, 1, INSTR(remaining_extras, ',') - 1)) AS each_extra, + SUBSTR(remaining_extras, INSTR(remaining_extras, ',') + 1) + FROM split_extras + WHERE remaining_extras <> '') SELECT order_id, + COUNT(each_extra) AS total_extras + FROM split_extras + GROUP BY order_id), + calculate_totals AS + (SELECT t1.order_id, + t1.pizza_id, + SUM(CASE + WHEN pizza_id = 1 THEN 12 + WHEN pizza_id = 2 THEN 10 + END) AS total_price, + t3.total_extras + FROM pizza_clean_customer_orders AS t1 + JOIN pizza_clean_runner_orders AS t2 ON t2.order_id = t1.order_id + LEFT JOIN get_extras_count AS t3 ON t3.order_id = t1.order_id + WHERE t2.cancellation IS NULL + GROUP BY t1.order_id, + t1.pizza_id, + t3.total_extras) +SELECT SUM(total_price) + SUM(total_extras) AS total_income +FROM calculate_totals; diff --git a/spider2/queries/lite_local066.sql b/spider2/queries/lite_local066.sql index 8c7430a7d5921df2880a1a21a3ed2e4b579de83f..c5f84f33e4b5417ee1e20504260cf77bb256fae1 100644 --- a/spider2/queries/lite_local066.sql +++ b/spider2/queries/lite_local066.sql @@ -1,128 +1,86 @@ -WITH cte_cleaned_customer_orders AS ( - SELECT - *, - ROW_NUMBER() OVER () AS original_row_number - FROM - pizza_clean_customer_orders -), -split_regular_toppings AS ( - SELECT - pizza_id, - TRIM(SUBSTR(toppings, 1, INSTR(toppings || ',', ',') - 1)) AS topping_id, - SUBSTR(toppings || ',', INSTR(toppings || ',', ',') + 1) AS remaining_toppings - FROM - pizza_recipes - UNION ALL - SELECT - pizza_id, - TRIM(SUBSTR(remaining_toppings, 1, INSTR(remaining_toppings, ',') - 1)) AS topping_id, - SUBSTR(remaining_toppings, INSTR(remaining_toppings, ',') + 1) AS remaining_toppings - FROM - split_regular_toppings - WHERE - remaining_toppings <> '' -), -cte_base_toppings AS ( - SELECT - t1.order_id, - t1.customer_id, - t1.pizza_id, - t1.order_time, - t1.original_row_number, - t2.topping_id - FROM - cte_cleaned_customer_orders AS t1 - LEFT JOIN - split_regular_toppings AS t2 - ON - t1.pizza_id = t2.pizza_id -), -split_exclusions AS ( - SELECT - order_id, - customer_id, - pizza_id, - order_time, - original_row_number, - TRIM(SUBSTR(exclusions, 1, INSTR(exclusions || ',', ',') - 1)) AS topping_id, - SUBSTR(exclusions || ',', INSTR(exclusions || ',', ',') + 1) AS remaining_exclusions - FROM - cte_cleaned_customer_orders - WHERE - exclusions IS NOT NULL - UNION ALL - SELECT - order_id, - customer_id, - pizza_id, - order_time, - original_row_number, - TRIM(SUBSTR(remaining_exclusions, 1, INSTR(remaining_exclusions, ',') - 1)) AS topping_id, - SUBSTR(remaining_exclusions, INSTR(remaining_exclusions, ',') + 1) AS remaining_exclusions - FROM - split_exclusions - WHERE - remaining_exclusions <> '' -), -split_extras AS ( - SELECT - order_id, - customer_id, - pizza_id, - order_time, - original_row_number, - TRIM(SUBSTR(extras, 1, INSTR(extras || ',', ',') - 1)) AS topping_id, - SUBSTR(extras || ',', INSTR(extras || ',', ',') + 1) AS remaining_extras - FROM - cte_cleaned_customer_orders - WHERE - extras IS NOT NULL - UNION ALL - SELECT - order_id, - customer_id, - pizza_id, - order_time, - original_row_number, - TRIM(SUBSTR(remaining_extras, 1, INSTR(remaining_extras, ',') - 1)) AS topping_id, - SUBSTR(remaining_extras, INSTR(remaining_extras, ',') + 1) AS remaining_extras - FROM - split_extras - WHERE - remaining_extras <> '' -), -cte_combined_orders AS ( - SELECT - order_id, - customer_id, - pizza_id, - order_time, - original_row_number, - topping_id - FROM - cte_base_toppings - WHERE topping_id NOT IN (SELECT topping_id FROM split_exclusions WHERE split_exclusions.order_id = cte_base_toppings.order_id) - UNION ALL - SELECT - order_id, - customer_id, - pizza_id, - order_time, - original_row_number, - topping_id - FROM - split_extras -) -SELECT - t2.topping_name, - COUNT(*) AS topping_count -FROM - cte_combined_orders AS t1 -JOIN - pizza_toppings AS t2 -ON - t1.topping_id = t2.topping_id -GROUP BY - t2.topping_name -ORDER BY - topping_count DESC; +WITH cte_cleaned_customer_orders AS + (SELECT *, + ROW_NUMBER() OVER () AS original_row_number + FROM pizza_clean_customer_orders), + split_regular_toppings AS + (SELECT pizza_id, + TRIM(SUBSTR(toppings, 1, INSTR(toppings || ',', ',') - 1)) AS topping_id, + SUBSTR(toppings || ',', INSTR(toppings || ',', ',') + 1) AS remaining_toppings + FROM pizza_recipes + UNION ALL SELECT pizza_id, + TRIM(SUBSTR(remaining_toppings, 1, INSTR(remaining_toppings, ',') - 1)) AS topping_id, + SUBSTR(remaining_toppings, INSTR(remaining_toppings, ',') + 1) AS remaining_toppings + FROM split_regular_toppings + WHERE remaining_toppings <> ''), + cte_base_toppings AS + (SELECT t1.order_id, + t1.customer_id, + t1.pizza_id, + t1.order_time, + t1.original_row_number, + t2.topping_id + FROM cte_cleaned_customer_orders AS t1 + LEFT JOIN split_regular_toppings AS t2 ON t1.pizza_id = t2.pizza_id), + split_exclusions AS + (SELECT order_id, + customer_id, + pizza_id, + order_time, + original_row_number, + TRIM(SUBSTR(exclusions, 1, INSTR(exclusions || ',', ',') - 1)) AS topping_id, + SUBSTR(exclusions || ',', INSTR(exclusions || ',', ',') + 1) AS remaining_exclusions + FROM cte_cleaned_customer_orders + WHERE exclusions IS NOT NULL + UNION ALL SELECT order_id, + customer_id, + pizza_id, + order_time, + original_row_number, + TRIM(SUBSTR(remaining_exclusions, 1, INSTR(remaining_exclusions, ',') - 1)) AS topping_id, + SUBSTR(remaining_exclusions, INSTR(remaining_exclusions, ',') + 1) AS remaining_exclusions + FROM split_exclusions + WHERE remaining_exclusions <> ''), + split_extras AS + (SELECT order_id, + customer_id, + pizza_id, + order_time, + original_row_number, + TRIM(SUBSTR(extras, 1, INSTR(extras || ',', ',') - 1)) AS topping_id, + SUBSTR(extras || ',', INSTR(extras || ',', ',') + 1) AS remaining_extras + FROM cte_cleaned_customer_orders + WHERE extras IS NOT NULL + UNION ALL SELECT order_id, + customer_id, + pizza_id, + order_time, + original_row_number, + TRIM(SUBSTR(remaining_extras, 1, INSTR(remaining_extras, ',') - 1)) AS topping_id, + SUBSTR(remaining_extras, INSTR(remaining_extras, ',') + 1) AS remaining_extras + FROM split_extras + WHERE remaining_extras <> ''), + cte_combined_orders AS + (SELECT order_id, + customer_id, + pizza_id, + order_time, + original_row_number, + topping_id + FROM cte_base_toppings + WHERE topping_id NOT IN + (SELECT topping_id + FROM split_exclusions + WHERE split_exclusions.order_id = cte_base_toppings.order_id) + UNION ALL SELECT order_id, + customer_id, + pizza_id, + order_time, + original_row_number, + topping_id + FROM split_extras) +SELECT t2.topping_name, + COUNT(*) AS topping_count +FROM cte_combined_orders AS t1 +JOIN pizza_toppings AS t2 ON t1.topping_id = t2.topping_id +GROUP BY t2.topping_name +ORDER BY topping_count DESC; diff --git a/spider2/queries/lite_local075.sql b/spider2/queries/lite_local075.sql index 50793556263cb10ccbaad762a8c512caead14b12..cd37052fdac5d8e61b3728203b7cb5e1f291efd7 100644 --- a/spider2/queries/lite_local075.sql +++ b/spider2/queries/lite_local075.sql @@ -1,87 +1,62 @@ -WITH product_viewed AS ( - SELECT - t1.page_id, - SUM(CASE WHEN event_type = 1 THEN 1 ELSE 0 END) AS n_page_views, - SUM(CASE WHEN event_type = 2 THEN 1 ELSE 0 END) AS n_added_to_cart - FROM - shopping_cart_page_hierarchy AS t1 - JOIN - shopping_cart_events AS t2 - ON - t1.page_id = t2.page_id - WHERE - t1.product_id IS NOT NULL - GROUP BY - t1.page_id -), -product_purchased AS ( - SELECT - t2.page_id, - SUM(CASE WHEN event_type = 2 THEN 1 ELSE 0 END) AS purchased_from_cart - FROM - shopping_cart_page_hierarchy AS t1 - JOIN - shopping_cart_events AS t2 - ON - t1.page_id = t2.page_id - WHERE - t1.product_id IS NOT NULL - AND EXISTS ( - SELECT - visit_id - FROM - shopping_cart_events - WHERE - event_type = 3 - AND t2.visit_id = visit_id - ) - AND t1.page_id NOT IN (1, 2, 12, 13) - GROUP BY - t2.page_id -), -product_abandoned AS ( - SELECT - t2.page_id, - SUM(CASE WHEN event_type = 2 THEN 1 ELSE 0 END) AS abandoned_in_cart - FROM - shopping_cart_page_hierarchy AS t1 - JOIN - shopping_cart_events AS t2 - ON - t1.page_id = t2.page_id - WHERE - t1.product_id IS NOT NULL - AND NOT EXISTS ( - SELECT - visit_id - FROM - shopping_cart_events - WHERE - event_type = 3 - AND t2.visit_id = visit_id - ) - AND t1.page_id NOT IN (1, 2, 12, 13) - GROUP BY - t2.page_id -) -SELECT - t1.page_id, - t1.page_name, - t2.n_page_views AS 'number of product being viewed', - t2.n_added_to_cart AS 'number added to the cart', - t4.abandoned_in_cart AS 'without being purchased in cart', - t3.purchased_from_cart AS 'count of actual purchases' -FROM - shopping_cart_page_hierarchy AS t1 -JOIN - product_viewed AS t2 -ON - t2.page_id = t1.page_id -JOIN - product_purchased AS t3 -ON - t3.page_id = t1.page_id -JOIN - product_abandoned AS t4 -ON - t4.page_id = t1.page_id; +WITH product_viewed AS + (SELECT t1.page_id, + SUM(CASE + WHEN event_type = 1 THEN 1 + ELSE 0 + END) AS n_page_views, + SUM(CASE + WHEN event_type = 2 THEN 1 + ELSE 0 + END) AS n_added_to_cart + FROM shopping_cart_page_hierarchy AS t1 + JOIN shopping_cart_events AS t2 ON t1.page_id = t2.page_id + WHERE t1.product_id IS NOT NULL + GROUP BY t1.page_id), + product_purchased AS + (SELECT t2.page_id, + SUM(CASE + WHEN event_type = 2 THEN 1 + ELSE 0 + END) AS purchased_from_cart + FROM shopping_cart_page_hierarchy AS t1 + JOIN shopping_cart_events AS t2 ON t1.page_id = t2.page_id + WHERE t1.product_id IS NOT NULL + AND EXISTS + (SELECT visit_id + FROM shopping_cart_events + WHERE event_type = 3 + AND t2.visit_id = visit_id) + AND t1.page_id NOT IN (1, + 2, + 12, + 13) + GROUP BY t2.page_id), + product_abandoned AS + (SELECT t2.page_id, + SUM(CASE + WHEN event_type = 2 THEN 1 + ELSE 0 + END) AS abandoned_in_cart + FROM shopping_cart_page_hierarchy AS t1 + JOIN shopping_cart_events AS t2 ON t1.page_id = t2.page_id + WHERE t1.product_id IS NOT NULL + AND NOT EXISTS + (SELECT visit_id + FROM shopping_cart_events + WHERE event_type = 3 + AND t2.visit_id = visit_id) + AND t1.page_id NOT IN (1, + 2, + 12, + 13) + GROUP BY t2.page_id) +SELECT t1.page_id, + t1.page_name, + t2.n_page_views AS 'number of product being viewed', + t2.n_added_to_cart AS 'number added to the cart', + t4.abandoned_in_cart AS 'without being purchased in cart', + t3.purchased_from_cart AS 'count of actual purchases' +FROM shopping_cart_page_hierarchy AS t1 +JOIN product_viewed AS t2 ON t2.page_id = t1.page_id +JOIN product_purchased AS t3 ON t3.page_id = t1.page_id +JOIN product_abandoned AS t4 ON t4.page_id = t1.page_id; diff --git a/spider2/queries/lite_local078.sql b/spider2/queries/lite_local078.sql index afe275c4e7c23c04e694c7677f4ebdcedc53044c..bfa93d4cfeb9c61b72d42b8ac248129276b5a7b3 100644 --- a/spider2/queries/lite_local078.sql +++ b/spider2/queries/lite_local078.sql @@ -1,53 +1,31 @@ -WITH get_interest_rank AS ( - SELECT - t1.month_year, - t2.interest_name, - t1.composition, - RANK() OVER ( - PARTITION BY t2.interest_name - ORDER BY t1.composition DESC - ) AS interest_rank - FROM - interest_metrics AS t1 - JOIN - interest_map AS t2 - ON - t1.interest_id = t2.id - WHERE - t1.month_year IS NOT NULL -), -get_top_10 AS ( - SELECT - month_year, - interest_name, - composition - FROM - get_interest_rank - WHERE - interest_rank = 1 - ORDER BY - composition DESC - LIMIT 10 -), -get_bottom_10 AS ( - SELECT - month_year, - interest_name, - composition - FROM - get_interest_rank - WHERE - interest_rank = 1 - ORDER BY - composition ASC - LIMIT 10 -) -SELECT * -FROM - get_top_10 +WITH get_interest_rank AS + (SELECT t1.month_year, + t2.interest_name, + t1.composition, + RANK() OVER (PARTITION BY t2.interest_name + ORDER BY t1.composition DESC) AS interest_rank + FROM interest_metrics AS t1 + JOIN interest_map AS t2 ON t1.interest_id = t2.id + WHERE t1.month_year IS NOT NULL), + get_top_10 AS + (SELECT month_year, + interest_name, + composition + FROM get_interest_rank + WHERE interest_rank = 1 + ORDER BY composition DESC + LIMIT 10), + get_bottom_10 AS + (SELECT month_year, + interest_name, + composition + FROM get_interest_rank + WHERE interest_rank = 1 + ORDER BY composition ASC + LIMIT 10) +SELECT * +FROM get_top_10 UNION -SELECT * -FROM - get_bottom_10 -ORDER BY - composition DESC; +SELECT * +FROM get_bottom_10 +ORDER BY composition DESC; diff --git a/spider2/queries/lite_local099.sql b/spider2/queries/lite_local099.sql index cec74a6024c0ae95a5b4caaa2fa37f55fc317a0f..93cf8fa2c66d695ded02db936a960b943c7a261f 100644 --- a/spider2/queries/lite_local099.sql +++ b/spider2/queries/lite_local099.sql @@ -1,64 +1,38 @@ -WITH YASH_CHOPRAS_PID AS ( - SELECT - TRIM(P.PID) AS PID - FROM - Person P - WHERE - TRIM(P.Name) = 'Yash Chopra' -), -NUM_OF_MOV_BY_ACTOR_DIRECTOR AS ( - SELECT - TRIM(MC.PID) AS ACTOR_PID, - TRIM(MD.PID) AS DIRECTOR_PID, - COUNT(DISTINCT TRIM(MD.MID)) AS NUM_OF_MOV - FROM - M_Cast MC - JOIN - M_Director MD ON TRIM(MC.MID) = TRIM(MD.MID) - GROUP BY - ACTOR_PID, - DIRECTOR_PID -), -NUM_OF_MOVIES_BY_YC AS ( - SELECT - NM.ACTOR_PID, - NM.DIRECTOR_PID, - NM.NUM_OF_MOV AS NUM_OF_MOV_BY_YC - FROM - NUM_OF_MOV_BY_ACTOR_DIRECTOR NM - JOIN - YASH_CHOPRAS_PID YCP ON NM.DIRECTOR_PID = YCP.PID -), -MAX_MOV_BY_OTHER_DIRECTORS AS ( - SELECT - ACTOR_PID, - MAX(NUM_OF_MOV) AS MAX_NUM_OF_MOV - FROM - NUM_OF_MOV_BY_ACTOR_DIRECTOR NM - JOIN - YASH_CHOPRAS_PID YCP ON NM.DIRECTOR_PID <> YCP.PID - GROUP BY - ACTOR_PID -), -ACTORS_MOV_COMPARISION AS ( - SELECT - NMY.ACTOR_PID, - CASE WHEN NMY.NUM_OF_MOV_BY_YC > IFNULL(NMO.MAX_NUM_OF_MOV, 0) THEN 'Y' ELSE 'N' END AS MORE_MOV_BY_YC - FROM - NUM_OF_MOVIES_BY_YC NMY - LEFT OUTER JOIN - MAX_MOV_BY_OTHER_DIRECTORS NMO ON NMY.ACTOR_PID = NMO.ACTOR_PID -) -SELECT - COUNT(DISTINCT TRIM(P.PID)) AS "Number of actor" -FROM - Person P -WHERE - TRIM(P.PID) IN ( - SELECT - DISTINCT ACTOR_PID - FROM - ACTORS_MOV_COMPARISION - WHERE - MORE_MOV_BY_YC = 'Y' - ); +WITH YASH_CHOPRAS_PID AS + (SELECT TRIM(P.PID) AS PID + FROM Person P + WHERE TRIM(P.Name) = 'Yash Chopra'), + NUM_OF_MOV_BY_ACTOR_DIRECTOR AS + (SELECT TRIM(MC.PID) AS ACTOR_PID, + TRIM(MD.PID) AS DIRECTOR_PID, + COUNT(DISTINCT TRIM(MD.MID)) AS NUM_OF_MOV + FROM M_Cast MC + JOIN M_Director MD ON TRIM(MC.MID) = TRIM(MD.MID) + GROUP BY ACTOR_PID, + DIRECTOR_PID), + NUM_OF_MOVIES_BY_YC AS + (SELECT NM.ACTOR_PID, + NM.DIRECTOR_PID, + NM.NUM_OF_MOV AS NUM_OF_MOV_BY_YC + FROM NUM_OF_MOV_BY_ACTOR_DIRECTOR NM + JOIN YASH_CHOPRAS_PID YCP ON NM.DIRECTOR_PID = YCP.PID), + MAX_MOV_BY_OTHER_DIRECTORS AS + (SELECT ACTOR_PID, + MAX(NUM_OF_MOV) AS MAX_NUM_OF_MOV + FROM NUM_OF_MOV_BY_ACTOR_DIRECTOR NM + JOIN YASH_CHOPRAS_PID YCP ON NM.DIRECTOR_PID <> YCP.PID + GROUP BY ACTOR_PID), + ACTORS_MOV_COMPARISION AS + (SELECT NMY.ACTOR_PID, + CASE + WHEN NMY.NUM_OF_MOV_BY_YC > IFNULL(NMO.MAX_NUM_OF_MOV, 0) THEN 'Y' + ELSE 'N' + END AS MORE_MOV_BY_YC + FROM NUM_OF_MOVIES_BY_YC NMY + LEFT OUTER JOIN MAX_MOV_BY_OTHER_DIRECTORS NMO ON NMY.ACTOR_PID = NMO.ACTOR_PID) +SELECT COUNT(DISTINCT TRIM(P.PID)) AS "Number of actor" +FROM Person P +WHERE TRIM(P.PID) IN + (SELECT DISTINCT ACTOR_PID + FROM ACTORS_MOV_COMPARISION + WHERE MORE_MOV_BY_YC = 'Y'); diff --git a/spider2/queries/lite_local131.sql b/spider2/queries/lite_local131.sql index a175e7434f7c5d4f113aff1d0a6941414ea56e62..870c1c6fa7478bc93b28c63b709b56172bbd4613 100644 --- a/spider2/queries/lite_local131.sql +++ b/spider2/queries/lite_local131.sql @@ -1,35 +1,31 @@ -SELECT - Musical_Styles.StyleName, - COUNT(RankedPreferences.FirstStyle) - AS FirstPreference, - COUNT(RankedPreferences.SecondStyle) - AS SecondPreference, - COUNT(RankedPreferences.ThirdStyle) - AS ThirdPreference +SELECT Musical_Styles.StyleName, + COUNT(RankedPreferences.FirstStyle) AS FirstPreference, + COUNT(RankedPreferences.SecondStyle) AS SecondPreference, + COUNT(RankedPreferences.ThirdStyle) AS ThirdPreference FROM Musical_Styles, - (SELECT (CASE WHEN - Musical_Preferences.PreferenceSeq = 1 - THEN Musical_Preferences.StyleID - ELSE Null END) As FirstStyle, - (CASE WHEN - Musical_Preferences.PreferenceSeq = 2 - THEN Musical_Preferences.StyleID - ELSE Null END) As SecondStyle, - (CASE WHEN - Musical_Preferences.PreferenceSeq = 3 - THEN Musical_Preferences.StyleID - ELSE Null END) AS ThirdStyle - FROM Musical_Preferences) AS RankedPreferences -WHERE Musical_Styles.StyleID = - RankedPreferences.FirstStyle - OR Musical_Styles.StyleID = - RankedPreferences.SecondStyle - OR Musical_Styles.StyleID = - RankedPreferences.ThirdStyle -GROUP BY StyleID, StyleName + + (SELECT (CASE + WHEN Musical_Preferences.PreferenceSeq = 1 THEN Musical_Preferences.StyleID + ELSE NULL + END) AS FirstStyle, + (CASE + WHEN Musical_Preferences.PreferenceSeq = 2 THEN Musical_Preferences.StyleID + ELSE NULL + END) AS SecondStyle, + (CASE + WHEN Musical_Preferences.PreferenceSeq = 3 THEN Musical_Preferences.StyleID + ELSE NULL + END) AS ThirdStyle + FROM Musical_Preferences) AS RankedPreferences +WHERE Musical_Styles.StyleID = RankedPreferences.FirstStyle + OR Musical_Styles.StyleID = RankedPreferences.SecondStyle + OR Musical_Styles.StyleID = RankedPreferences.ThirdStyle +GROUP BY StyleID, + StyleName HAVING COUNT(FirstStyle) > 0 - OR COUNT(SecondStyle) > 0 - OR COUNT(ThirdStyle) > 0 +OR COUNT(SecondStyle) > 0 +OR COUNT(ThirdStyle) > 0 ORDER BY FirstPreference DESC, - SecondPreference DESC, - ThirdPreference DESC, StyleID; + SecondPreference DESC, + ThirdPreference DESC, + StyleID; diff --git a/spider2/queries/lite_local163.sql b/spider2/queries/lite_local163.sql index 753c6c6c256044aee3d0b65bdf780e25472df89a..b0e198f12ea0a28b6148a274077ca96f3f1bf9c6 100644 --- a/spider2/queries/lite_local163.sql +++ b/spider2/queries/lite_local163.sql @@ -1,39 +1,25 @@ -WITH AvgSalaries AS ( - SELECT - facrank AS FacRank, - AVG(facsalary) AS AvSalary - FROM - university_faculty - GROUP BY - facrank -), -SalaryDifferences AS ( - SELECT - university_faculty.facrank AS FacRank, - university_faculty.facfirstname AS FacFirstName, - university_faculty.faclastname AS FacLastName, - university_faculty.facsalary AS Salary, - ABS(university_faculty.facsalary - AvgSalaries.AvSalary) AS Diff - FROM - university_faculty - JOIN - AvgSalaries ON university_faculty.facrank = AvgSalaries.FacRank -), -MinDifferences AS ( - SELECT - FacRank, - MIN(Diff) AS MinDiff - FROM - SalaryDifferences - GROUP BY - FacRank -) -SELECT - s.FacRank, - s.FacFirstName, - s.FacLastName, - s.Salary -FROM - SalaryDifferences s -JOIN - MinDifferences m ON s.FacRank = m.FacRank AND s.Diff = m.MinDiff; +WITH AvgSalaries AS + (SELECT facrank AS FacRank, + AVG(facsalary) AS AvSalary + FROM university_faculty + GROUP BY facrank), + SalaryDifferences AS + (SELECT university_faculty.facrank AS FacRank, + university_faculty.facfirstname AS FacFirstName, + university_faculty.faclastname AS FacLastName, + university_faculty.facsalary AS Salary, + ABS(university_faculty.facsalary - AvgSalaries.AvSalary) AS Diff + FROM university_faculty + JOIN AvgSalaries ON university_faculty.facrank = AvgSalaries.FacRank), + MinDifferences AS + (SELECT FacRank, + MIN(Diff) AS MinDiff + FROM SalaryDifferences + GROUP BY FacRank) +SELECT s.FacRank, + s.FacFirstName, + s.FacLastName, + s.Salary +FROM SalaryDifferences s +JOIN MinDifferences m ON s.FacRank = m.FacRank +AND s.Diff = m.MinDiff; diff --git a/spider2/queries/lite_local197.sql b/spider2/queries/lite_local197.sql index c35fc398f65317192f31de25615949677ab32a1d..16b661f992d88d28f32ceab0bb15e5228d5c7775 100644 --- a/spider2/queries/lite_local197.sql +++ b/spider2/queries/lite_local197.sql @@ -1,54 +1,34 @@ -WITH result_table AS ( - SELECT - strftime('%m', pm.payment_date) AS pay_mon, - customer_id, - COUNT(pm.amount) AS pay_countpermon, - SUM(pm.amount) AS pay_amount - FROM - payment AS pm - GROUP BY - pay_mon, - customer_id -), -top10_customer AS ( - SELECT - customer_id, - SUM(tb.pay_amount) AS total_payments - FROM - result_table AS tb - GROUP BY - customer_id - ORDER BY - SUM(tb.pay_amount) DESC - LIMIT - 10 -), -difference_per_mon AS ( - SELECT - pay_mon AS month_number, - pay_mon AS month, - tb.pay_countpermon, - tb.pay_amount, - ABS(tb.pay_amount - LAG(tb.pay_amount) OVER (PARTITION BY tb.customer_id)) AS diff - FROM - result_table tb - JOIN top10_customer top ON top.customer_id = tb.customer_id -) -SELECT - month, - ROUND(max_diff, 2) AS max_diff -FROM ( - SELECT - month, - diff, - month_number, - MAX(diff) OVER (PARTITION BY month) AS max_diff - FROM - difference_per_mon -) AS max_per_mon -WHERE - diff = max_diff -ORDER BY - max_diff DESC -LIMIT - 1; +WITH result_table AS + (SELECT strftime('%m', pm.payment_date) AS pay_mon, + customer_id, + COUNT(pm.amount) AS pay_countpermon, + SUM(pm.amount) AS pay_amount + FROM payment AS pm + GROUP BY pay_mon, + customer_id), + top10_customer AS + (SELECT customer_id, + SUM(tb.pay_amount) AS total_payments + FROM result_table AS tb + GROUP BY customer_id + ORDER BY SUM(tb.pay_amount) DESC + LIMIT 10), + difference_per_mon AS + (SELECT pay_mon AS month_number, + pay_mon AS MONTH, + tb.pay_countpermon, + tb.pay_amount, + ABS(tb.pay_amount - LAG(tb.pay_amount) OVER (PARTITION BY tb.customer_id)) AS diff + FROM result_table tb + JOIN top10_customer top ON top.customer_id = tb.customer_id) +SELECT MONTH, + ROUND(max_diff, 2) AS max_diff +FROM + (SELECT MONTH, + diff, + month_number, + MAX(diff) OVER (PARTITION BY MONTH) AS max_diff + FROM difference_per_mon) AS max_per_mon +WHERE diff = max_diff +ORDER BY max_diff DESC +LIMIT 1; diff --git a/spider2/queries/lite_local199.sql b/spider2/queries/lite_local199.sql index a6d5bf959d03b323ee187edf041b3419c50b8b28..b7a70567a6c7120a6e2028e0afff642eac1a8c3c 100644 --- a/spider2/queries/lite_local199.sql +++ b/spider2/queries/lite_local199.sql @@ -1,48 +1,33 @@ -WITH result_table AS ( - SELECT - strftime('%Y', RE.RENTAL_DATE) AS YEAR, - strftime('%m', RE.RENTAL_DATE) AS RENTAL_MONTH, - ST.STORE_ID, - COUNT(RE.RENTAL_ID) AS count - FROM - RENTAL RE - JOIN STAFF ST ON RE.STAFF_ID = ST.STAFF_ID - GROUP BY - YEAR, - RENTAL_MONTH, - ST.STORE_ID -), -monthly_sales AS ( - SELECT - YEAR, - RENTAL_MONTH, - STORE_ID, - SUM(count) AS total_rentals - FROM - result_table - GROUP BY - YEAR, - RENTAL_MONTH, - STORE_ID -), -store_max_sales AS ( - SELECT - STORE_ID, - YEAR, - RENTAL_MONTH, - total_rentals, - MAX(total_rentals) OVER (PARTITION BY STORE_ID) AS max_rentals - FROM - monthly_sales -) -SELECT - STORE_ID, - YEAR, - RENTAL_MONTH, - total_rentals -FROM - store_max_sales -WHERE - total_rentals = max_rentals -ORDER BY - STORE_ID; +WITH result_table AS + (SELECT strftime('%Y', RE.RENTAL_DATE) AS YEAR, + strftime('%m', RE.RENTAL_DATE) AS RENTAL_MONTH, + ST.STORE_ID, + COUNT(RE.RENTAL_ID) AS COUNT + FROM RENTAL RE + JOIN STAFF ST ON RE.STAFF_ID = ST.STAFF_ID + GROUP BY YEAR, + RENTAL_MONTH, + ST.STORE_ID), + monthly_sales AS + (SELECT YEAR, + RENTAL_MONTH, + STORE_ID, + SUM(COUNT) AS total_rentals + FROM result_table + GROUP BY YEAR, + RENTAL_MONTH, + STORE_ID), + store_max_sales AS + (SELECT STORE_ID, + YEAR, + RENTAL_MONTH, + total_rentals, + MAX(total_rentals) OVER (PARTITION BY STORE_ID) AS max_rentals + FROM monthly_sales) +SELECT STORE_ID, + YEAR, + RENTAL_MONTH, + total_rentals +FROM store_max_sales +WHERE total_rentals = max_rentals +ORDER BY STORE_ID; diff --git a/spider2/queries/lite_local210.sql b/spider2/queries/lite_local210.sql index 1896d70be9f602302c08d3774ea34e2d781300b8..ad2907436eefbf62953752ca122b426206ce3f26 100644 --- a/spider2/queries/lite_local210.sql +++ b/spider2/queries/lite_local210.sql @@ -1,38 +1,24 @@ -WITH february_orders AS ( - SELECT - h.hub_name AS hub_name, - COUNT(*) AS orders_february - FROM - orders o - LEFT JOIN - stores s ON o.store_id = s.store_id - LEFT JOIN - hubs h ON s.hub_id = h.hub_id - WHERE o.order_created_month = 2 AND o.order_status = 'FINISHED' - GROUP BY - h.hub_name -), -march_orders AS ( - SELECT - h.hub_name AS hub_name, - COUNT(*) AS orders_march - FROM - orders o - LEFT JOIN - stores s ON o.store_id = s.store_id - LEFT JOIN - hubs h ON s.hub_id = h.hub_id - WHERE o.order_created_month = 3 AND o.order_status = 'FINISHED' - GROUP BY - h.hub_name -) -SELECT - fo.hub_name -FROM - february_orders fo -LEFT JOIN - march_orders mo ON fo.hub_name = mo.hub_name -WHERE - fo.orders_february > 0 AND - mo.orders_march > 0 AND - (CAST((mo.orders_march - fo.orders_february) AS REAL) / CAST(fo.orders_february AS REAL)) > 0.2 -- Filter for hubs with more than a 20% increase +WITH february_orders AS + (SELECT h.hub_name AS hub_name, + COUNT(*) AS orders_february + FROM orders o + LEFT JOIN stores s ON o.store_id = s.store_id + LEFT JOIN hubs h ON s.hub_id = h.hub_id + WHERE o.order_created_month = 2 + AND o.order_status = 'FINISHED' + GROUP BY h.hub_name), + march_orders AS + (SELECT h.hub_name AS hub_name, + COUNT(*) AS orders_march + FROM orders o + LEFT JOIN stores s ON o.store_id = s.store_id + LEFT JOIN hubs h ON s.hub_id = h.hub_id + WHERE o.order_created_month = 3 + AND o.order_status = 'FINISHED' + GROUP BY h.hub_name) +SELECT fo.hub_name +FROM february_orders fo +LEFT JOIN march_orders mo ON fo.hub_name = mo.hub_name +WHERE fo.orders_february > 0 + AND mo.orders_march > 0 + AND (CAST((mo.orders_march - fo.orders_february) AS REAL) / CAST(fo.orders_february AS REAL)) > 0.2 -- Filter for hubs with more than a 20% increase diff --git a/spider2/queries/lite_local219.sql b/spider2/queries/lite_local219.sql index 954c5a25efce01fc4aeea21aa0767c23b0bcb415..eaf64a2972d2f7112a603b83ded1b99da591f297 100644 --- a/spider2/queries/lite_local219.sql +++ b/spider2/queries/lite_local219.sql @@ -1,136 +1,98 @@ -WITH match_view AS( -SELECT - M.id, - L.name AS league, - M.season, - M.match_api_id, - T.team_long_name AS home_team, - TM.team_long_name AS away_team, - M.home_team_goal, - M.away_team_goal, - P1.player_name AS home_gk, - P2.player_name AS home_center_back_1, - P3.player_name AS home_center_back_2, - P4.player_name AS home_right_back, - P5.player_name AS home_left_back, - P6.player_name AS home_midfield_1, - P7.player_name AS home_midfield_2, - P8.player_name AS home_midfield_3, - P9.player_name AS home_midfield_4, - P10.player_name AS home_second_forward, - P11.player_name AS home_center_forward, - P12.player_name AS away_gk, - P13.player_name AS away_center_back_1, - P14.player_name AS away_center_back_2, - P15.player_name AS away_right_back, - P16.player_name AS away_left_back, - P17.player_name AS away_midfield_1, - P18.player_name AS away_midfield_2, - P19.player_name AS away_midfield_3, - P20.player_name AS away_midfield_4, - P21.player_name AS away_second_forward, - P22.player_name AS away_center_forward, - M.goal, - M.card -FROM - match M -LEFT JOIN - league L ON M.league_id = L.id -LEFT JOIN - team T ON M.home_team_api_id = T.team_api_id -LEFT JOIN - team TM ON M.away_team_api_id = TM.team_api_id -LEFT JOIN - player P1 ON M.home_player_1 = P1.player_api_id -LEFT JOIN - player P2 ON M.home_player_2 = P2.player_api_id -LEFT JOIN - player P3 ON M.home_player_3 = P3.player_api_id -LEFT JOIN - player P4 ON M.home_player_4 = P4.player_api_id -LEFT JOIN - player P5 ON M.home_player_5 = P5.player_api_id -LEFT JOIN - player P6 ON M.home_player_6 = P6.player_api_id -LEFT JOIN - player P7 ON M.home_player_7 = P7.player_api_id -LEFT JOIN - player P8 ON M.home_player_8 = P8.player_api_id -LEFT JOIN - player P9 ON M.home_player_9 = P9.player_api_id -LEFT JOIN - player P10 ON M.home_player_10 = P10.player_api_id -LEFT JOIN - player P11 ON M.home_player_11 = P11.player_api_id -LEFT JOIN - player P12 ON M.away_player_1 = P12.player_api_id -LEFT JOIN - player P13 ON M.away_player_2 = P13.player_api_id -LEFT JOIN - player P14 ON M.away_player_3 = P14.player_api_id -LEFT JOIN - player P15 ON M.away_player_4 = P15.player_api_id -LEFT JOIN - player P16 ON M.away_player_5 = P16.player_api_id -LEFT JOIN - player P17 ON M.away_player_6 = P17.player_api_id -LEFT JOIN - player P18 ON M.away_player_7 = P18.player_api_id -LEFT JOIN - player P19 ON M.away_player_8 = P19.player_api_id -LEFT JOIN - player P20 ON M.away_player_9 = P20.player_api_id -LEFT JOIN - player P21 ON M.away_player_10 = P21.player_api_id -LEFT JOIN - player P22 ON M.away_player_11 = P22.player_api_id -), -match_score AS -( - SELECT -- Displaying teams and their goals as home_team - id, - home_team AS team, - CASE - WHEN home_team_goal > away_team_goal THEN 1 ELSE 0 END AS Winning_match - FROM - match_view - - UNION ALL - - SELECT -- Displaying teams and their goals as away_team - id, - away_team AS team, - CASE - WHEN away_team_goal > home_team_goal THEN 1 ELSE 0 END AS Winning_match - FROM - match_view -), -winning_matches AS -( - SELECT -- Displaying total match wins for each team - MV.league, - M.team, - COUNT(CASE WHEN M.Winning_match = 1 THEN 1 END) AS wins, - ROW_NUMBER() OVER(PARTITION BY MV.league ORDER BY COUNT(CASE WHEN M.Winning_match = 1 THEN 1 END) ASC) AS rn - FROM - match_score M - JOIN - match_view MV - ON - M.id = MV.id - GROUP BY - MV.league, - team - ORDER BY - league, - wins ASC -) -SELECT - league, - team -FROM - winning_matches -WHERE - rn = 1 -- Getting the team with the least number of wins in each league -ORDER BY - league; +WITH match_view AS + (SELECT M.id, + L.name AS league, + M.season, + M.match_api_id, + T.team_long_name AS home_team, + TM.team_long_name AS away_team, + M.home_team_goal, + M.away_team_goal, + P1.player_name AS home_gk, + P2.player_name AS home_center_back_1, + P3.player_name AS home_center_back_2, + P4.player_name AS home_right_back, + P5.player_name AS home_left_back, + P6.player_name AS home_midfield_1, + P7.player_name AS home_midfield_2, + P8.player_name AS home_midfield_3, + P9.player_name AS home_midfield_4, + P10.player_name AS home_second_forward, + P11.player_name AS home_center_forward, + P12.player_name AS away_gk, + P13.player_name AS away_center_back_1, + P14.player_name AS away_center_back_2, + P15.player_name AS away_right_back, + P16.player_name AS away_left_back, + P17.player_name AS away_midfield_1, + P18.player_name AS away_midfield_2, + P19.player_name AS away_midfield_3, + P20.player_name AS away_midfield_4, + P21.player_name AS away_second_forward, + P22.player_name AS away_center_forward, + M.goal, + M.card + FROM MATCH M + LEFT JOIN league L ON M.league_id = L.id + LEFT JOIN team T ON M.home_team_api_id = T.team_api_id + LEFT JOIN team TM ON M.away_team_api_id = TM.team_api_id + LEFT JOIN player P1 ON M.home_player_1 = P1.player_api_id + LEFT JOIN player P2 ON M.home_player_2 = P2.player_api_id + LEFT JOIN player P3 ON M.home_player_3 = P3.player_api_id + LEFT JOIN player P4 ON M.home_player_4 = P4.player_api_id + LEFT JOIN player P5 ON M.home_player_5 = P5.player_api_id + LEFT JOIN player P6 ON M.home_player_6 = P6.player_api_id + LEFT JOIN player P7 ON M.home_player_7 = P7.player_api_id + LEFT JOIN player P8 ON M.home_player_8 = P8.player_api_id + LEFT JOIN player P9 ON M.home_player_9 = P9.player_api_id + LEFT JOIN player P10 ON M.home_player_10 = P10.player_api_id + LEFT JOIN player P11 ON M.home_player_11 = P11.player_api_id + LEFT JOIN player P12 ON M.away_player_1 = P12.player_api_id + LEFT JOIN player P13 ON M.away_player_2 = P13.player_api_id + LEFT JOIN player P14 ON M.away_player_3 = P14.player_api_id + LEFT JOIN player P15 ON M.away_player_4 = P15.player_api_id + LEFT JOIN player P16 ON M.away_player_5 = P16.player_api_id + LEFT JOIN player P17 ON M.away_player_6 = P17.player_api_id + LEFT JOIN player P18 ON M.away_player_7 = P18.player_api_id + LEFT JOIN player P19 ON M.away_player_8 = P19.player_api_id + LEFT JOIN player P20 ON M.away_player_9 = P20.player_api_id + LEFT JOIN player P21 ON M.away_player_10 = P21.player_api_id + LEFT JOIN player P22 ON M.away_player_11 = P22.player_api_id), + match_score AS + (SELECT -- Displaying teams and their goals as home_team + id, + home_team AS team, + CASE + WHEN home_team_goal > away_team_goal THEN 1 + ELSE 0 + END AS Winning_match + FROM match_view + UNION ALL SELECT -- Displaying teams and their goals as away_team + id, + away_team AS team, + CASE + WHEN away_team_goal > home_team_goal THEN 1 + ELSE 0 + END AS Winning_match + FROM match_view), + winning_matches AS + (SELECT -- Displaying total match wins for each team + MV.league, + M.team, + COUNT(CASE + WHEN M.Winning_match = 1 THEN 1 + END) AS wins, + ROW_NUMBER() OVER(PARTITION BY MV.league + ORDER BY COUNT(CASE + WHEN M.Winning_match = 1 THEN 1 + END) ASC) AS rn + FROM match_score M + JOIN match_view MV ON M.id = MV.id + GROUP BY MV.league, + team + ORDER BY league, + wins ASC) +SELECT league, + team +FROM winning_matches +WHERE rn = 1 -- Getting the team with the least number of wins in each league +ORDER BY league; diff --git a/spider2/queries/lite_local301.sql b/spider2/queries/lite_local301.sql index 9836f3f66ce1fdb3005d46657982653e243570dd..cedf0240d99b44e8a28c8d5ba3fd0f171fcc56cb 100644 --- a/spider2/queries/lite_local301.sql +++ b/spider2/queries/lite_local301.sql @@ -1,57 +1,54 @@ -SELECT - before_effect, - after_effect, - after_effect - before_effect AS change_amount, - ROUND(((after_effect * 1.0 / before_effect) - 1) * 100, 2) AS percent_change, - '2018' AS year -FROM ( - SELECT - SUM(CASE WHEN delta_weeks BETWEEN 1 AND 4 THEN sales END) AS after_effect, - SUM(CASE WHEN delta_weeks BETWEEN -3 AND 0 THEN sales END) AS before_effect - FROM ( - SELECT - week_date, - ROUND((JULIANDAY(week_date) - JULIANDAY('2018-06-15')) / 7.0) + 1 AS delta_weeks, - sales - FROM cleaned_weekly_sales - ) add_delta_weeks -) AS add_before_after +SELECT before_effect, + after_effect, + after_effect - before_effect AS change_amount, + ROUND(((after_effect * 1.0 / before_effect) - 1) * 100, 2) AS percent_change, + '2018' AS YEAR +FROM + (SELECT SUM(CASE + WHEN delta_weeks BETWEEN 1 AND 4 THEN sales + END) AS after_effect, + SUM(CASE + WHEN delta_weeks BETWEEN -3 AND 0 THEN sales + END) AS before_effect + FROM + (SELECT week_date, + ROUND((JULIANDAY(week_date) - JULIANDAY('2018-06-15')) / 7.0) + 1 AS delta_weeks, + sales + FROM cleaned_weekly_sales) add_delta_weeks) AS add_before_after UNION ALL -SELECT - before_effect, - after_effect, - after_effect - before_effect AS change_amount, - ROUND(((after_effect * 1.0 / before_effect) - 1) * 100, 2) AS percent_change, - '2019' AS year -FROM ( - SELECT - SUM(CASE WHEN delta_weeks BETWEEN 1 AND 4 THEN sales END) AS after_effect, - SUM(CASE WHEN delta_weeks BETWEEN -3 AND 0 THEN sales END) AS before_effect - FROM ( - SELECT - week_date, - ROUND((JULIANDAY(week_date) - JULIANDAY('2019-06-15')) / 7.0) + 1 AS delta_weeks, - sales - FROM cleaned_weekly_sales - ) add_delta_weeks -) AS add_before_after +SELECT before_effect, + after_effect, + after_effect - before_effect AS change_amount, + ROUND(((after_effect * 1.0 / before_effect) - 1) * 100, 2) AS percent_change, + '2019' AS YEAR +FROM + (SELECT SUM(CASE + WHEN delta_weeks BETWEEN 1 AND 4 THEN sales + END) AS after_effect, + SUM(CASE + WHEN delta_weeks BETWEEN -3 AND 0 THEN sales + END) AS before_effect + FROM + (SELECT week_date, + ROUND((JULIANDAY(week_date) - JULIANDAY('2019-06-15')) / 7.0) + 1 AS delta_weeks, + sales + FROM cleaned_weekly_sales) add_delta_weeks) AS add_before_after UNION ALL -SELECT - before_effect, - after_effect, - after_effect - before_effect AS change_amount, - ROUND(((after_effect * 1.0 / before_effect) - 1) * 100, 2) AS percent_change, - '2020' AS year -FROM ( - SELECT - SUM(CASE WHEN delta_weeks BETWEEN 1 AND 4 THEN sales END) AS after_effect, - SUM(CASE WHEN delta_weeks BETWEEN -3 AND 0 THEN sales END) AS before_effect - FROM ( - SELECT - week_date, - ROUND((JULIANDAY(week_date) - JULIANDAY('2020-06-15')) / 7.0) + 1 AS delta_weeks, - sales - FROM cleaned_weekly_sales - ) add_delta_weeks -) AS add_before_after -ORDER BY year; +SELECT before_effect, + after_effect, + after_effect - before_effect AS change_amount, + ROUND(((after_effect * 1.0 / before_effect) - 1) * 100, 2) AS percent_change, + '2020' AS YEAR +FROM + (SELECT SUM(CASE + WHEN delta_weeks BETWEEN 1 AND 4 THEN sales + END) AS after_effect, + SUM(CASE + WHEN delta_weeks BETWEEN -3 AND 0 THEN sales + END) AS before_effect + FROM + (SELECT week_date, + ROUND((JULIANDAY(week_date) - JULIANDAY('2020-06-15')) / 7.0) + 1 AS delta_weeks, + sales + FROM cleaned_weekly_sales) add_delta_weeks) AS add_before_after +ORDER BY YEAR; diff --git a/spider2/queries/lite_local309.sql b/spider2/queries/lite_local309.sql index b9fa854bfc056cf2ba043172ec2c849e13cc65cc..fd4f8ee2351677a618a079b9a11b524c295eb93a 100644 --- a/spider2/queries/lite_local309.sql +++ b/spider2/queries/lite_local309.sql @@ -1,41 +1,53 @@ -with year_points as ( - select races.year, - drivers.forename || ' ' || drivers.surname as driver, - constructors.name as constructor, - sum(results.points) as points - from results - left join races on results.race_id = races.race_id -- Ensure these columns exist in your schema - left join drivers on results.driver_id = drivers.driver_id -- Ensure these columns exist in your schema - left join constructors on results.constructor_id = constructors.constructor_id -- Ensure these columns exist in your schema - group by races.year, driver - union - select races.year, - null as driver, - constructors.name as constructor, - sum(results.points) as points - from results - left join races on results.race_id = races.race_id -- Ensure these columns exist in your schema - left join drivers on results.driver_id = drivers.driver_id -- Ensure these columns exist in your schema - left join constructors on results.constructor_id = constructors.constructor_id -- Ensure these columns exist in your schema - group by races.year, constructor -), -max_points as ( - select year, - max(case when driver is not null then points else null end) as max_driver_points, - max(case when constructor is not null then points else null end) as max_constructor_points - from year_points - group by year -) -select max_points.year, +WITH year_points AS + (SELECT races.year, + drivers.forename || ' ' || drivers.surname AS driver, + constructors.name AS + CONSTRUCTOR, + sum(results.points) AS points + FROM results + LEFT JOIN races ON results.race_id = races.race_id -- Ensure these columns exist in your schema + + LEFT JOIN drivers ON results.driver_id = drivers.driver_id -- Ensure these columns exist in your schema + + LEFT JOIN constructors ON results.constructor_id = constructors.constructor_id -- Ensure these columns exist in your schema + + GROUP BY races.year, + driver + UNION SELECT races.year, + NULL AS driver, + constructors.name AS + CONSTRUCTOR, + sum(results.points) AS points + FROM results + LEFT JOIN races ON results.race_id = races.race_id -- Ensure these columns exist in your schema + + LEFT JOIN drivers ON results.driver_id = drivers.driver_id -- Ensure these columns exist in your schema + + LEFT JOIN constructors ON results.constructor_id = constructors.constructor_id -- Ensure these columns exist in your schema + + GROUP BY races.year, + CONSTRUCTOR), + max_points AS + (SELECT YEAR, + max(CASE + WHEN driver IS NOT NULL THEN points + ELSE NULL + END) AS max_driver_points, + max(CASE + WHEN + CONSTRUCTOR IS NOT NULL THEN points + ELSE NULL + END) AS max_constructor_points + FROM year_points + GROUP BY YEAR) +SELECT max_points.year, drivers_year_points.driver, constructors_year_points.constructor -from max_points -left join year_points as drivers_year_points on - max_points.year = drivers_year_points.year and - max_points.max_driver_points = drivers_year_points.points and - drivers_year_points.driver is not null -left join year_points as constructors_year_points on - max_points.year = constructors_year_points.year and - max_points.max_constructor_points = constructors_year_points.points and - constructors_year_points.constructor is not null -order by max_points.year; +FROM max_points +LEFT JOIN year_points AS drivers_year_points ON max_points.year = drivers_year_points.year +AND max_points.max_driver_points = drivers_year_points.points +AND drivers_year_points.driver IS NOT NULL +LEFT JOIN year_points AS constructors_year_points ON max_points.year = constructors_year_points.year +AND max_points.max_constructor_points = constructors_year_points.points +AND constructors_year_points.constructor IS NOT NULL +ORDER BY max_points.year; diff --git a/spider2/queries/lite_sf001.sql b/spider2/queries/lite_sf001.sql index 6f8a1c33fff46f84dadd91de865c2dfc5d77431e..87b8611cc0a8123ce50cf46bf067ca15a2a6aeaf 100644 --- a/spider2/queries/lite_sf001.sql +++ b/spider2/queries/lite_sf001.sql @@ -1,29 +1,18 @@ WITH timestamps AS -( - SELECT - DATE_TRUNC(year,DATEADD(year,-1,DATE '2024-08-29')) AS ref_timestamp, - LAST_DAY(DATEADD(week,2 + CAST(WEEKISO(ref_timestamp) != 1 AS INTEGER),ref_timestamp),week) AS end_week, - DATEADD(day, day_num - 7, end_week) AS date_valid_std - FROM - ( - SELECT - ROW_NUMBER() OVER (ORDER BY SEQ1()) AS day_num - FROM - TABLE(GENERATOR(rowcount => 7)) - ) -) -SELECT - country, - postal_code, - date_valid_std, - tot_snowfall_in -FROM - GLOBAL_WEATHER__CLIMATE_DATA_FOR_BI.standard_tile.history_day -NATURAL INNER JOIN - timestamps -WHERE - country='US' AND - tot_snowfall_in > 6.0 -ORDER BY - postal_code,date_valid_std -; + (SELECT DATE_TRUNC(YEAR, DATEADD(YEAR, -1,DATE '2024-08-29')) AS ref_timestamp, + LAST_DAY(DATEADD(WEEK, 2 + CAST(WEEKISO(ref_timestamp) != 1 AS INTEGER), ref_timestamp), WEEK) AS end_week, + DATEADD(DAY, day_num - 7, end_week) AS date_valid_std + FROM + (SELECT ROW_NUMBER() OVER ( + ORDER BY SEQ1()) AS day_num + FROM TABLE(GENERATOR(rowcount => 7)))) +SELECT country, + postal_code, + date_valid_std, + tot_snowfall_in +FROM GLOBAL_WEATHER__CLIMATE_DATA_FOR_BI.standard_tile.history_day NATURAL +INNER JOIN timestamps +WHERE country='US' + AND tot_snowfall_in > 6.0 +ORDER BY postal_code, + date_valid_std ; diff --git a/spider2/queries/lite_sf002.sql b/spider2/queries/lite_sf002.sql index 8d837f935cc890cb6d4aca886c3b1b246a5ac09c..dfb805f80175757a0844417ef16031be8e06cb7e 100644 --- a/spider2/queries/lite_sf002.sql +++ b/spider2/queries/lite_sf002.sql @@ -1,10 +1,9 @@ -WITH big_banks AS ( - SELECT id_rssd - FROM FINANCE__ECONOMICS.CYBERSYN.financial_institution_timeseries - WHERE variable = 'ASSET' - AND date = '2022-12-31' - AND value > 1E10 -) +WITH big_banks AS + (SELECT id_rssd + FROM FINANCE__ECONOMICS.CYBERSYN.financial_institution_timeseries + WHERE VARIABLE = 'ASSET' + AND date = '2022-12-31' + AND value > 1E10) SELECT name FROM FINANCE__ECONOMICS.CYBERSYN.financial_institution_timeseries AS ts INNER JOIN FINANCE__ECONOMICS.CYBERSYN.financial_institution_attributes AS att ON (ts.variable = att.variable) @@ -13,6 +12,6 @@ INNER JOIN big_banks ON (big_banks.id_rssd = ts.id_rssd) WHERE ts.date = '2022-12-31' AND att.variable_name = '% Insured (Estimated)' AND att.frequency = 'Quarterly' - AND ent.is_active = True + AND ent.is_active = TRUE ORDER BY (1 - value) DESC LIMIT 10; diff --git a/spider2/queries/lite_sf011.sql b/spider2/queries/lite_sf011.sql index 66105b1e9d92560fb728ba56b742705bb9120207..ea7427bb52292793f52313dce91550a617da6305 100644 --- a/spider2/queries/lite_sf011.sql +++ b/spider2/queries/lite_sf011.sql @@ -1,43 +1,27 @@ -WITH TractPop AS ( - SELECT - CG."BlockGroupID", - FCV."CensusValue", - CG."StateCountyTractID", - CG."BlockGroupPolygon" - FROM - CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE.PUBLIC."Dim_CensusGeography" CG - JOIN - CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE.PUBLIC."Fact_CensusValues_ACS2021" FCV - ON CG."BlockGroupID" = FCV."BlockGroupID" - WHERE - CG."StateAbbrev" = 'NY' - AND FCV."MetricID" = 'B01003_001E' -), - -TractGroup AS ( - SELECT - CG."StateCountyTractID", - SUM(FCV."CensusValue") AS "TotalTractPop" - FROM - CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE.PUBLIC."Dim_CensusGeography" CG - JOIN - CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE.PUBLIC."Fact_CensusValues_ACS2021" FCV - ON CG."BlockGroupID" = FCV."BlockGroupID" - WHERE - CG."StateAbbrev" = 'NY' - AND FCV."MetricID" = 'B01003_001E' - GROUP BY - CG."StateCountyTractID" -) - -SELECT - TP."BlockGroupID", - TP."CensusValue", - TP."StateCountyTractID", - TG."TotalTractPop", - CASE WHEN TG."TotalTractPop" <> 0 THEN TP."CensusValue" / TG."TotalTractPop" ELSE 0 END AS "BlockGroupRatio" -FROM - TractPop TP -JOIN - TractGroup TG - ON TP."StateCountyTractID" = TG."StateCountyTractID"; +WITH TractPop AS + (SELECT CG."BlockGroupID", + FCV."CensusValue", + CG."StateCountyTractID", + CG."BlockGroupPolygon" + FROM CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE.PUBLIC."Dim_CensusGeography" CG + JOIN CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE.PUBLIC."Fact_CensusValues_ACS2021" FCV ON CG."BlockGroupID" = FCV."BlockGroupID" + WHERE CG."StateAbbrev" = 'NY' + AND FCV."MetricID" = 'B01003_001E'), + TractGroup AS + (SELECT CG."StateCountyTractID", + SUM(FCV."CensusValue") AS "TotalTractPop" + FROM CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE.PUBLIC."Dim_CensusGeography" CG + JOIN CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE.PUBLIC."Fact_CensusValues_ACS2021" FCV ON CG."BlockGroupID" = FCV."BlockGroupID" + WHERE CG."StateAbbrev" = 'NY' + AND FCV."MetricID" = 'B01003_001E' + GROUP BY CG."StateCountyTractID") +SELECT TP."BlockGroupID", + TP."CensusValue", + TP."StateCountyTractID", + TG."TotalTractPop", + CASE + WHEN TG."TotalTractPop" <> 0 THEN TP."CensusValue" / TG."TotalTractPop" + ELSE 0 + END AS "BlockGroupRatio" +FROM TractPop TP +JOIN TractGroup TG ON TP."StateCountyTractID" = TG."StateCountyTractID"; diff --git a/spider2/queries/lite_sf012.sql b/spider2/queries/lite_sf012.sql index cedc8f5c694e50d58dbb6897cf17615e70ef4620..23094780e0df3378a27fbd38105b35a9b23f0380 100644 --- a/spider2/queries/lite_sf012.sql +++ b/spider2/queries/lite_sf012.sql @@ -1,11 +1,12 @@ -SELECT - YEAR(claims.date_of_loss) AS year_of_loss, - claims.nfip_community_name, - SUM(claims.building_damage_amount) AS total_building_damage_amount, - SUM(claims.contents_damage_amount) AS total_contents_damage_amount +SELECT YEAR(claims.date_of_loss) AS year_of_loss, + claims.nfip_community_name, + SUM(claims.building_damage_amount) AS total_building_damage_amount, + SUM(claims.contents_damage_amount) AS total_contents_damage_amount FROM WEATHER__ENVIRONMENT.CYBERSYN.fema_national_flood_insurance_program_claim_index claims -WHERE - claims.nfip_community_name = 'City Of New York' - AND year_of_loss >=2010 AND year_of_loss <=2019 -GROUP BY year_of_loss, claims.nfip_community_name -ORDER BY year_of_loss, claims.nfip_community_name; +WHERE claims.nfip_community_name = 'City Of New York' + AND year_of_loss >=2010 + AND year_of_loss <=2019 +GROUP BY year_of_loss, + claims.nfip_community_name +ORDER BY year_of_loss, + claims.nfip_community_name; diff --git a/spider2/queries/lite_sf014.sql b/spider2/queries/lite_sf014.sql index 057963fc809452eca5388d7c04f958dea163d781..809e99a94a133b4741c8c1d1275d32339b257684 100644 --- a/spider2/queries/lite_sf014.sql +++ b/spider2/queries/lite_sf014.sql @@ -1,48 +1,38 @@ -WITH Commuters AS ( - SELECT - GE."ZipCode", - SUM(CASE WHEN M."MetricID" = 'B08303_013E' THEN F."CensusValueByZip" ELSE 0 END + - CASE WHEN M."MetricID" = 'B08303_012E' THEN F."CensusValueByZip" ELSE 0 END) AS "Num_Commuters_1Hr_Travel_Time" - FROM - CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."LU_GeographyExpanded" GE - JOIN - CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_CensusValues_ACS2021_ByZip" F - ON GE."ZipCode" = F."ZipCode" - JOIN - CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Dim_CensusMetrics" M - ON F."MetricID" = M."MetricID" - WHERE - GE."PreferredStateAbbrev" = 'NY' - AND (M."MetricID" = 'B08303_013E' OR M."MetricID" = 'B08303_012E') -- Metric IDs for commuters with 1+ hour travel time - GROUP BY - GE."ZipCode" -), +WITH Commuters AS + (SELECT GE."ZipCode", + SUM(CASE + WHEN M."MetricID" = 'B08303_013E' THEN F."CensusValueByZip" + ELSE 0 + END + CASE + WHEN M."MetricID" = 'B08303_012E' THEN F."CensusValueByZip" + ELSE 0 + END) AS "Num_Commuters_1Hr_Travel_Time" + FROM CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."LU_GeographyExpanded" GE + JOIN CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_CensusValues_ACS2021_ByZip" F ON GE."ZipCode" = F."ZipCode" + JOIN CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Dim_CensusMetrics" M ON F."MetricID" = M."MetricID" + WHERE GE."PreferredStateAbbrev" = 'NY' + AND (M."MetricID" = 'B08303_013E' + OR M."MetricID" = 'B08303_012E')-- Metric IDs for commuters with 1+ hour travel time -StateBenchmark AS ( - SELECT - SB."StateAbbrev", - SUM(SB."StateBenchmarkValue") AS "StateBenchmark_Over1HrTravelTime", - SB."TotalStatePopulation" - FROM - CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_StateBenchmark_ACS2021" SB - WHERE - SB."MetricID" IN ('B08303_013E', 'B08303_012E') - AND SB."StateAbbrev" = 'NY' - GROUP BY - SB."StateAbbrev", SB."TotalStatePopulation" -) - -SELECT - C."ZipCode", - SUM(C."Num_Commuters_1Hr_Travel_Time") AS "Total_Commuters_1Hr_Travel_Time", - SB."StateBenchmark_Over1HrTravelTime", - SB."TotalStatePopulation", -FROM - Commuters C -CROSS JOIN - StateBenchmark SB -GROUP BY - C."ZipCode", SB."StateBenchmark_Over1HrTravelTime", SB."TotalStatePopulation" -ORDER BY - "Total_Commuters_1Hr_Travel_Time" DESC + GROUP BY GE."ZipCode"), + StateBenchmark AS + (SELECT SB."StateAbbrev", + SUM(SB."StateBenchmarkValue") AS "StateBenchmark_Over1HrTravelTime", + SB."TotalStatePopulation" + FROM CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_StateBenchmark_ACS2021" SB + WHERE SB."MetricID" IN ('B08303_013E', + 'B08303_012E') + AND SB."StateAbbrev" = 'NY' + GROUP BY SB."StateAbbrev", + SB."TotalStatePopulation") +SELECT C."ZipCode", + SUM(C."Num_Commuters_1Hr_Travel_Time") AS "Total_Commuters_1Hr_Travel_Time", + SB."StateBenchmark_Over1HrTravelTime", + SB."TotalStatePopulation", +FROM Commuters C +CROSS JOIN StateBenchmark SB +GROUP BY C."ZipCode", + SB."StateBenchmark_Over1HrTravelTime", + SB."TotalStatePopulation" +ORDER BY "Total_Commuters_1Hr_Travel_Time" DESC LIMIT 1; diff --git a/spider2/queries/lite_sf018.sql b/spider2/queries/lite_sf018.sql index 03f48ef9cdae8d175dc4e9e73a64754767a8cbae..e5b24974daf6f027a47bf699b5eb3a901810096d 100644 --- a/spider2/queries/lite_sf018.sql +++ b/spider2/queries/lite_sf018.sql @@ -1,121 +1,93 @@ -WITH push_send AS ( - SELECT - id, - app_group_id, - user_id, - campaign_id, - message_variation_id, - platform, - ad_tracking_enabled, - TO_TIMESTAMP(TIME) AS "TIME", - 'Send' AS "EVENT_TYPE" - FROM - BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_SEND_VIEW - WHERE - TO_TIMESTAMP(TIME) BETWEEN '2023-06-01 08:00:00' AND '2023-06-01 09:00:00' -), -push_bounce AS ( - SELECT - id, - app_group_id, - user_id, - campaign_id, - message_variation_id, - platform, - ad_tracking_enabled, - TO_TIMESTAMP(TIME) AS "TIME", - 'Bounce' AS "EVENT_TYPE" - FROM - BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_BOUNCE_VIEW - WHERE - TO_TIMESTAMP(TIME) BETWEEN '2023-06-01 08:00:00' AND '2023-06-01 09:00:00' -), -push_open AS ( - SELECT - id, - app_group_id, - user_id, - campaign_id, - message_variation_id, - platform, - ad_tracking_enabled, - TO_TIMESTAMP(TIME) AS "TIME", - 'Open' AS "EVENT_TYPE", - carrier, - browser, - device_model - FROM - BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_OPEN_VIEW - WHERE - TO_TIMESTAMP(TIME) BETWEEN '2023-06-01 08:00:00' AND '2023-06-01 09:00:00' -), -push_open_influence AS ( - SELECT - id, - app_group_id, - user_id, - campaign_id, - message_variation_id, - platform, - TO_TIMESTAMP(TIME) AS "TIME", - 'Influenced Open' AS "EVENT_TYPE", - carrier, - browser, - device_model - FROM - BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_INFLUENCEDOPEN_VIEW - WHERE - TO_TIMESTAMP(TIME) BETWEEN '2023-06-01 08:00:00' AND '2023-06-01 09:00:00' -) -SELECT - ps.app_group_id, - ps.campaign_id, - ps.user_id, - ps.time, - po.time push_open_time, - ps.message_variation_id, - ps.platform, - ps.ad_tracking_enabled, - po.carrier, - po.browser, - po.device_model, - COUNT( - DISTINCT ps.id - ) push_notification_sends, - COUNT( - DISTINCT ps.user_id - ) unique_push_notification_sends, - COUNT( - DISTINCT pb.id - ) push_notification_bounced, - COUNT( - DISTINCT pb.user_id - ) unique_push_notification_bounced, - COUNT( - DISTINCT po.id - ) push_notification_open, - COUNT( - DISTINCT po.user_id - ) unique_push_notification_opened, - COUNT( - DISTINCT poi.id - ) push_notification_influenced_open, - COUNT( - DISTINCT poi.user_id - ) unique_push_notification_influenced_open -FROM - push_send ps - LEFT JOIN push_bounce pb - ON ps.message_variation_id = pb.message_variation_id - AND ps.user_id = pb.user_id - AND ps.app_group_id = pb.app_group_id - LEFT JOIN push_open po - ON ps.message_variation_id = po.message_variation_id - AND ps.user_id = po.user_id - AND ps.app_group_id = po.app_group_id - LEFT JOIN push_open_influence poi - ON ps.message_variation_id = poi.message_variation_id - AND ps.user_id = poi.user_id - AND ps.app_group_id = poi.app_group_id -GROUP BY - 1,2,3,4,5,6,7,8,9,10,11; +WITH push_send AS + (SELECT id, + app_group_id, + user_id, + campaign_id, + message_variation_id, + platform, + ad_tracking_enabled, + TO_TIMESTAMP(TIME) AS "TIME", + 'Send' AS "EVENT_TYPE" + FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_SEND_VIEW + WHERE TO_TIMESTAMP(TIME) BETWEEN '2023-06-01 08:00:00' AND '2023-06-01 09:00:00'), + push_bounce AS + (SELECT id, + app_group_id, + user_id, + campaign_id, + message_variation_id, + platform, + ad_tracking_enabled, + TO_TIMESTAMP(TIME) AS "TIME", + 'Bounce' AS "EVENT_TYPE" + FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_BOUNCE_VIEW + WHERE TO_TIMESTAMP(TIME) BETWEEN '2023-06-01 08:00:00' AND '2023-06-01 09:00:00'), + push_open AS + (SELECT id, + app_group_id, + user_id, + campaign_id, + message_variation_id, + platform, + ad_tracking_enabled, + TO_TIMESTAMP(TIME) AS "TIME", + 'Open' AS "EVENT_TYPE", + carrier, + browser, + device_model + FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_OPEN_VIEW + WHERE TO_TIMESTAMP(TIME) BETWEEN '2023-06-01 08:00:00' AND '2023-06-01 09:00:00'), + push_open_influence AS + (SELECT id, + app_group_id, + user_id, + campaign_id, + message_variation_id, + platform, + TO_TIMESTAMP(TIME) AS "TIME", + 'Influenced Open' AS "EVENT_TYPE", + carrier, + browser, + device_model + FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_INFLUENCEDOPEN_VIEW + WHERE TO_TIMESTAMP(TIME) BETWEEN '2023-06-01 08:00:00' AND '2023-06-01 09:00:00') +SELECT ps.app_group_id, + ps.campaign_id, + ps.user_id, + ps.time, + po.time push_open_time, + ps.message_variation_id, + ps.platform, + ps.ad_tracking_enabled, + po.carrier, + po.browser, + po.device_model, + COUNT(DISTINCT ps.id) push_notification_sends, + COUNT(DISTINCT ps.user_id) unique_push_notification_sends, + COUNT(DISTINCT pb.id) push_notification_bounced, + COUNT(DISTINCT pb.user_id) unique_push_notification_bounced, + COUNT(DISTINCT po.id) push_notification_open, + COUNT(DISTINCT po.user_id) unique_push_notification_opened, + COUNT(DISTINCT poi.id) push_notification_influenced_open, + COUNT(DISTINCT poi.user_id) unique_push_notification_influenced_open +FROM push_send ps +LEFT JOIN push_bounce pb ON ps.message_variation_id = pb.message_variation_id +AND ps.user_id = pb.user_id +AND ps.app_group_id = pb.app_group_id +LEFT JOIN push_open po ON ps.message_variation_id = po.message_variation_id +AND ps.user_id = po.user_id +AND ps.app_group_id = po.app_group_id +LEFT JOIN push_open_influence poi ON ps.message_variation_id = poi.message_variation_id +AND ps.user_id = poi.user_id +AND ps.app_group_id = poi.app_group_id +GROUP BY 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11; diff --git a/spider2/queries/lite_sf040.sql b/spider2/queries/lite_sf040.sql index ace9ae476c35667818c2705256786e741ed3eeea..fcf6b86f0bc18815912b1eda51220eb54e051d47 100644 --- a/spider2/queries/lite_sf040.sql +++ b/spider2/queries/lite_sf040.sql @@ -1,31 +1,29 @@ -WITH zip_areas AS ( - SELECT - geo.geo_id, - geo.geo_name AS zip, - states.related_geo_name AS state, - countries.related_geo_name AS country, - ST_AREA(TRY_TO_GEOGRAPHY(value)) AS area - FROM US_ADDRESSES__POI.CYBERSYN.geography_index AS geo - JOIN US_ADDRESSES__POI.CYBERSYN.geography_relationships AS states - ON (geo.geo_id = states.geo_id AND states.related_level = 'State') - JOIN US_ADDRESSES__POI.CYBERSYN.geography_relationships AS countries - ON (geo.geo_id = countries.geo_id AND countries.related_level = 'Country') - JOIN US_ADDRESSES__POI.CYBERSYN.geography_characteristics AS chars - ON (geo.geo_id = chars.geo_id AND chars.relationship_type = 'coordinates_geojson') - WHERE geo.level = 'CensusZipCodeTabulationArea' -), - -zip_area_ranks AS ( - SELECT - *, - ROW_NUMBER() OVER (PARTITION BY country, state ORDER BY area DESC, geo_id) AS zip_area_rank - FROM zip_areas -) - -SELECT addr.number, addr.street, addr.street_type +WITH zip_areas AS + (SELECT geo.geo_id, + geo.geo_name AS zip, + states.related_geo_name AS state, + countries.related_geo_name AS country, + ST_AREA(TRY_TO_GEOGRAPHY(value)) AS area + FROM US_ADDRESSES__POI.CYBERSYN.geography_index AS geo + JOIN US_ADDRESSES__POI.CYBERSYN.geography_relationships AS states ON (geo.geo_id = states.geo_id + AND states.related_level = 'State') + JOIN US_ADDRESSES__POI.CYBERSYN.geography_relationships AS countries ON (geo.geo_id = countries.geo_id + AND countries.related_level = 'Country') + JOIN US_ADDRESSES__POI.CYBERSYN.geography_characteristics AS chars ON (geo.geo_id = chars.geo_id + AND chars.relationship_type = 'coordinates_geojson') + WHERE geo.level = 'CensusZipCodeTabulationArea'), + zip_area_ranks AS + (SELECT *, + ROW_NUMBER() OVER (PARTITION BY country, state + ORDER BY area DESC, geo_id) AS zip_area_rank + FROM zip_areas) +SELECT addr.number, + addr.street, + addr.street_type FROM US_ADDRESSES__POI.CYBERSYN.us_addresses AS addr -JOIN zip_area_ranks AS areas - ON (addr.id_zip = areas.geo_id) -WHERE addr.state = 'FL' AND areas.country = 'United States' AND areas.zip_area_rank = 1 +JOIN zip_area_ranks AS areas ON (addr.id_zip = areas.geo_id) +WHERE addr.state = 'FL' + AND areas.country = 'United States' + AND areas.zip_area_rank = 1 ORDER BY LATITUDE DESC LIMIT 10; diff --git a/spider2/queries/lite_sf044.sql b/spider2/queries/lite_sf044.sql index 2ba6cf5b2905160439c1bb7cb1c7c592e4bf531d..1e244e30006f482ee9381713ddbbac6424552a98 100644 --- a/spider2/queries/lite_sf044.sql +++ b/spider2/queries/lite_sf044.sql @@ -1,21 +1,28 @@ -WITH ytd_performance AS ( - SELECT - ticker, - MIN(date) OVER (PARTITION BY ticker) AS start_of_year_date, - FIRST_VALUE(value) OVER (PARTITION BY ticker ORDER BY date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS start_of_year_price, - MAX(date) OVER (PARTITION BY ticker) AS latest_date, - LAST_VALUE(value) OVER (PARTITION BY ticker ORDER BY date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS latest_price - FROM FINANCE__ECONOMICS.CYBERSYN.stock_price_timeseries - WHERE - ticker IN ('AAPL', 'MSFT', 'AMZN', 'GOOGL', 'META', 'TSLA', 'NVDA') - AND date BETWEEN DATE '2024-01-01' AND DATE '2024-06-30' -- Adjusted to cover only from the start of 2024 to the end of June 2024 - AND variable_name = 'Post-Market Close' -) -SELECT - ticker, - (latest_price - start_of_year_price) / start_of_year_price * 100 AS percentage_change_ytd -FROM - ytd_performance -GROUP BY - ticker, start_of_year_date, start_of_year_price, latest_date, latest_price +WITH ytd_performance AS + (SELECT ticker, + MIN(date) OVER (PARTITION BY ticker) AS start_of_year_date, + FIRST_VALUE(value) OVER (PARTITION BY ticker + ORDER BY date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS start_of_year_price, + MAX(date) OVER (PARTITION BY ticker) AS latest_date, + LAST_VALUE(value) OVER (PARTITION BY ticker + ORDER BY date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS latest_price + FROM FINANCE__ECONOMICS.CYBERSYN.stock_price_timeseries + WHERE ticker IN ('AAPL', + 'MSFT', + 'AMZN', + 'GOOGL', + 'META', + 'TSLA', + 'NVDA') + AND date BETWEEN DATE '2024-01-01' AND DATE '2024-06-30' -- Adjusted to cover only from the start of 2024 to the end of June 2024 + + AND variable_name = 'Post-Market Close') +SELECT ticker, + (latest_price - start_of_year_price) / start_of_year_price * 100 AS percentage_change_ytd +FROM ytd_performance +GROUP BY ticker, + start_of_year_date, + start_of_year_price, + latest_date, + latest_price ORDER BY percentage_change_ytd DESC; diff --git a/spider2/queries/lite_sf_bq012.sql b/spider2/queries/lite_sf_bq012.sql index 349b88f74d101d47898e54b3bfe57f9bdc12757c..306097fb7f11f3277e8adfa0acb43bcbb42846b6 100644 --- a/spider2/queries/lite_sf_bq012.sql +++ b/spider2/queries/lite_sf_bq012.sql @@ -1,52 +1,38 @@ -WITH double_entry_book AS ( - -- Debits - SELECT - "to_address" AS "address", - "value" AS "value" - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRACES" - WHERE "to_address" IS NOT NULL - AND "status" = 1 - AND ("call_type" NOT IN ('delegatecall', 'callcode', 'staticcall') OR "call_type" IS NULL) - - UNION ALL - - -- Credits - SELECT - "from_address" AS "address", - - "value" AS "value" - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRACES" - WHERE "from_address" IS NOT NULL - AND "status" = 1 - AND ("call_type" NOT IN ('delegatecall', 'callcode', 'staticcall') OR "call_type" IS NULL) - - UNION ALL - - -- Transaction fees debits - SELECT - "miner" AS "address", - SUM(CAST("receipt_gas_used" AS NUMBER) * CAST("gas_price" AS NUMBER)) AS "value" - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRANSACTIONS" AS "transactions" - JOIN "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."BLOCKS" AS "blocks" - ON "blocks"."number" = "transactions"."block_number" - GROUP BY "blocks"."miner" - - UNION ALL - - -- Transaction fees credits - SELECT - "from_address" AS "address", - -(CAST("receipt_gas_used" AS NUMBER) * CAST("gas_price" AS NUMBER)) AS "value" - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRANSACTIONS" -), -top_10_balances AS ( - SELECT - "address", - SUM("value") AS "balance" - FROM double_entry_book - GROUP BY "address" - ORDER BY "balance" DESC - LIMIT 10 -) -SELECT - ROUND(AVG("balance") / 1e15, 2) AS "average_balance_trillion" +WITH double_entry_book AS + (-- Debits + SELECT "to_address" AS "address", + "value" AS "value" + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRACES" + WHERE "to_address" IS NOT NULL + AND "status" = 1 + AND ("call_type" NOT IN ('delegatecall', + 'callcode', + 'staticcall') + OR "call_type" IS NULL) + UNION ALL -- Credits + SELECT "from_address" AS "address", - "value" AS "value" + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRACES" + WHERE "from_address" IS NOT NULL + AND "status" = 1 + AND ("call_type" NOT IN ('delegatecall', + 'callcode', + 'staticcall') + OR "call_type" IS NULL) + UNION ALL -- Transaction fees debits + SELECT "miner" AS "address", + SUM(CAST("receipt_gas_used" AS NUMBER) * CAST("gas_price" AS NUMBER)) AS "value" + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRANSACTIONS" AS "transactions" + JOIN "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."BLOCKS" AS "blocks" ON "blocks"."number" = "transactions"."block_number" + GROUP BY "blocks"."miner" + UNION ALL -- Transaction fees credits + SELECT "from_address" AS "address", -(CAST("receipt_gas_used" AS NUMBER) * CAST("gas_price" AS NUMBER)) AS "value" + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRANSACTIONS"), + top_10_balances AS + (SELECT "address", + SUM("value") AS "balance" + FROM double_entry_book + GROUP BY "address" + ORDER BY "balance" DESC + LIMIT 10) +SELECT ROUND(AVG("balance") / 1e15, 2) AS "average_balance_trillion" FROM top_10_balances; diff --git a/spider2/queries/lite_sf_bq017.sql b/spider2/queries/lite_sf_bq017.sql index 2f1516f6bd8e0bdf43be42c29d3d6c4a84b18b67..5f83c1bf14f933c59ee116903676b06eb4e15e89 100644 --- a/spider2/queries/lite_sf_bq017.sql +++ b/spider2/queries/lite_sf_bq017.sql @@ -1,37 +1,21 @@ -WITH bounding_area AS ( - SELECT "geometry" AS geometry - FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES, - LATERAL FLATTEN(INPUT => planet_features."all_tags") AS "tag" - WHERE "feature_type" = 'multipolygons' - AND "tag".value:"key" = 'wikidata' - AND "tag".value:"value" = 'Q35' -), - -highway_info AS ( - SELECT - SUM(ST_LENGTH( - ST_GEOGRAPHYFROMWKB(planet_features."geometry") - ) - ) AS highway_length, - "tag".value:"value" AS highway_type - FROM - GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES AS planet_features, +WITH bounding_area AS + (SELECT "geometry" AS geometry + FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES, + LATERAL FLATTEN(INPUT => planet_features."all_tags") AS "tag" + WHERE "feature_type" = 'multipolygons' + AND "tag".value:"key" = 'wikidata' + AND "tag".value:"value" = 'Q35'), + highway_info AS + (SELECT SUM(ST_LENGTH(ST_GEOGRAPHYFROMWKB(planet_features."geometry"))) AS highway_length, + "tag".value:"value" AS highway_type + FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES AS planet_features, bounding_area - CROSS JOIN LATERAL FLATTEN(INPUT => planet_features."all_tags") AS "tag" - WHERE "tag".value:"key" = 'highway' - AND "feature_type" = 'lines' - AND ST_DWITHIN( - ST_GEOGFROMWKB(planet_features."geometry"), - ST_GEOGFROMWKB(bounding_area.geometry), - 0.0 - ) - GROUP BY highway_type -) - -SELECT - REPLACE(highway_type, '"', '') AS highway_type -FROM - highway_info -ORDER BY - highway_length DESC + CROSS JOIN LATERAL FLATTEN(INPUT => planet_features."all_tags") AS "tag" + WHERE "tag".value:"key" = 'highway' + AND "feature_type" = 'lines' + AND ST_DWITHIN(ST_GEOGFROMWKB(planet_features."geometry"), ST_GEOGFROMWKB(bounding_area.geometry), 0.0) + GROUP BY highway_type) +SELECT REPLACE(highway_type, '"', '') AS highway_type +FROM highway_info +ORDER BY highway_length DESC LIMIT 5; diff --git a/spider2/queries/lite_sf_bq028.sql b/spider2/queries/lite_sf_bq028.sql index 51bf694347db302f46122abc1786e3c7c83b1f01..27b7bf82e5971f61cecad84ef63362ba3a54a94f 100644 --- a/spider2/queries/lite_sf_bq028.sql +++ b/spider2/queries/lite_sf_bq028.sql @@ -1,51 +1,29 @@ -WITH HighestReleases AS ( - SELECT - HR."Name", - HR."Version" - FROM ( - SELECT - "Name", - "Version", - ROW_NUMBER() OVER ( - PARTITION BY "Name" - ORDER BY - TO_NUMBER(PARSE_JSON("VersionInfo"):"Ordinal") DESC - ) AS RowNumber - FROM - DEPS_DEV_V1.DEPS_DEV_V1.PACKAGEVERSIONS - WHERE - "System" = 'NPM' - AND TO_BOOLEAN(PARSE_JSON("VersionInfo"):"IsRelease") = TRUE - ) AS HR - WHERE HR.RowNumber = 1 -), -PVP AS ( - SELECT - PVP."Name", - PVP."Version", - PVP."ProjectType", - PVP."ProjectName" - FROM - DEPS_DEV_V1.DEPS_DEV_V1.PACKAGEVERSIONTOPROJECT AS PVP - JOIN - HighestReleases AS HR - ON - PVP."Name" = HR."Name" - AND PVP."Version" = HR."Version" - WHERE - PVP."System" = 'NPM' - AND PVP."ProjectType" = 'GITHUB' -) -SELECT - PVP."Name", - PVP."Version" -FROM - PVP -JOIN - DEPS_DEV_V1.DEPS_DEV_V1.PROJECTS AS P -ON - PVP."ProjectType" = P."Type" - AND PVP."ProjectName" = P."Name" -ORDER BY - P."StarsCount" DESC +WITH HighestReleases AS + (SELECT HR."Name", + HR."Version" + FROM + (SELECT "Name", + "Version", + ROW_NUMBER() OVER (PARTITION BY "Name" + ORDER BY TO_NUMBER(PARSE_JSON("VersionInfo"):"Ordinal") DESC) AS RowNumber + FROM DEPS_DEV_V1.DEPS_DEV_V1.PACKAGEVERSIONS + WHERE "System" = 'NPM' + AND TO_BOOLEAN(PARSE_JSON("VersionInfo"):"IsRelease") = TRUE) AS HR + WHERE HR.RowNumber = 1), + PVP AS + (SELECT PVP."Name", + PVP."Version", + PVP."ProjectType", + PVP."ProjectName" + FROM DEPS_DEV_V1.DEPS_DEV_V1.PACKAGEVERSIONTOPROJECT AS PVP + JOIN HighestReleases AS HR ON PVP."Name" = HR."Name" + AND PVP."Version" = HR."Version" + WHERE PVP."System" = 'NPM' + AND PVP."ProjectType" = 'GITHUB') +SELECT PVP."Name", + PVP."Version" +FROM PVP +JOIN DEPS_DEV_V1.DEPS_DEV_V1.PROJECTS AS P ON PVP."ProjectType" = P."Type" +AND PVP."ProjectName" = P."Name" +ORDER BY P."StarsCount" DESC LIMIT 8; diff --git a/spider2/queries/lite_sf_bq033.sql b/spider2/queries/lite_sf_bq033.sql index 2f7b986ece2fb8feeead49a9c6d1ff8069dfd6f8..0f51776f5878958afb6424a71c1d6bcb4b124235 100644 --- a/spider2/queries/lite_sf_bq033.sql +++ b/spider2/queries/lite_sf_bq033.sql @@ -1,43 +1,22 @@ -WITH Patent_Matches AS ( - SELECT - TO_DATE(CAST(ANY_VALUE(patentsdb."filing_date") AS STRING), 'YYYYMMDD') AS Patent_Filing_Date, - patentsdb."application_number" AS Patent_Application_Number, - MAX(abstract_info.value:"text") AS Patent_Title, - MAX(abstract_info.value:"language") AS Patent_Title_Language - FROM - PATENTS.PATENTS.PUBLICATIONS AS patentsdb, - LATERAL FLATTEN(input => patentsdb."abstract_localized") AS abstract_info - WHERE - LOWER(abstract_info.value:"text") LIKE '%internet of things%' - AND patentsdb."country_code" = 'US' - GROUP BY - Patent_Application_Number -), - -Date_Series_Table AS ( - SELECT - DATEADD(day, seq4(), DATE '2008-01-01') AS day, - 0 AS Number_of_Patents - FROM - TABLE( - GENERATOR( - ROWCOUNT => 5479 - ) - ) - ORDER BY - day -) - -SELECT - TO_CHAR(Date_Series_Table.day, 'YYYY-MM') AS Patent_Date_YearMonth, - COUNT(Patent_Matches.Patent_Application_Number) AS Number_of_Patent_Applications -FROM - Date_Series_Table - LEFT JOIN Patent_Matches - ON Date_Series_Table.day = Patent_Matches.Patent_Filing_Date -WHERE - Date_Series_Table.day < DATE '2023-01-01' -GROUP BY - TO_CHAR(Date_Series_Table.day, 'YYYY-MM') -ORDER BY - Patent_Date_YearMonth; +WITH Patent_Matches AS + (SELECT TO_DATE(CAST(ANY_VALUE(patentsdb."filing_date") AS STRING), 'YYYYMMDD') AS Patent_Filing_Date, + patentsdb."application_number" AS Patent_Application_Number, + MAX(abstract_info.value:"text") AS Patent_Title, + MAX(abstract_info.value:"language") AS Patent_Title_Language + FROM PATENTS.PATENTS.PUBLICATIONS AS patentsdb, + LATERAL FLATTEN(INPUT => patentsdb."abstract_localized") AS abstract_info + WHERE LOWER(abstract_info.value:"text") LIKE '%internet of things%' + AND patentsdb."country_code" = 'US' + GROUP BY Patent_Application_Number), + Date_Series_Table AS + (SELECT DATEADD(DAY, seq4(), DATE '2008-01-01') AS DAY, + 0 AS Number_of_Patents + FROM TABLE(GENERATOR(ROWCOUNT => 5479)) + ORDER BY DAY) +SELECT TO_CHAR(Date_Series_Table.day, 'YYYY-MM') AS Patent_Date_YearMonth, + COUNT(Patent_Matches.Patent_Application_Number) AS Number_of_Patent_Applications +FROM Date_Series_Table +LEFT JOIN Patent_Matches ON Date_Series_Table.day = Patent_Matches.Patent_Filing_Date +WHERE Date_Series_Table.day < DATE '2023-01-01' +GROUP BY TO_CHAR(Date_Series_Table.day, 'YYYY-MM') +ORDER BY Patent_Date_YearMonth; diff --git a/spider2/queries/lite_sf_bq037.sql b/spider2/queries/lite_sf_bq037.sql index 50e248c84cc7f51d2ce13a24626d417973fca210..356eba89bc53e16c1afcf29efd1c1b935a1103b1 100644 --- a/spider2/queries/lite_sf_bq037.sql +++ b/spider2/queries/lite_sf_bq037.sql @@ -1,62 +1,42 @@ -WITH A AS ( - SELECT - "reference_bases", - "start_position" - FROM - "HUMAN_GENOME_VARIANTS"."HUMAN_GENOME_VARIANTS"."_1000_GENOMES_PHASE_3_OPTIMIZED_SCHEMA_VARIANTS_20150220" - WHERE - "reference_bases" IN ('AT', 'TA') -), -B AS ( - SELECT - "reference_bases", - MIN("start_position") AS "min_start_position", - MAX("start_position") AS "max_start_position", - COUNT(1) AS "total_count" - FROM - A - GROUP BY - "reference_bases" -), -min_counts AS ( - SELECT - A."reference_bases", -- Explicitly referencing the column from table A - A."start_position" AS "min_start_position", - COUNT(1) AS "min_count" - FROM - A - INNER JOIN B - ON A."reference_bases" = B."reference_bases" - WHERE - A."start_position" = B."min_start_position" - GROUP BY - A."reference_bases", A."start_position" -), -max_counts AS ( - SELECT - A."reference_bases", -- Explicitly referencing the column from table A - A."start_position" AS "max_start_position", - COUNT(1) AS "max_count" - FROM - A - INNER JOIN B - ON A."reference_bases" = B."reference_bases" - WHERE - A."start_position" = B."max_start_position" - GROUP BY - A."reference_bases", A."start_position" -) -SELECT - B."reference_bases", -- Explicitly referencing the column from table B - B."min_start_position", - CAST(min_counts."min_count" AS FLOAT) / B."total_count" AS "min_position_ratio", - B."max_start_position", - CAST(max_counts."max_count" AS FLOAT) / B."total_count" AS "max_position_ratio" -FROM - B -LEFT JOIN - min_counts ON B."reference_bases" = min_counts."reference_bases" AND B."min_start_position" = min_counts."min_start_position" -LEFT JOIN - max_counts ON B."reference_bases" = max_counts."reference_bases" AND B."max_start_position" = max_counts."max_start_position" -ORDER BY - B."reference_bases"; +WITH A AS + (SELECT "reference_bases", + "start_position" + FROM "HUMAN_GENOME_VARIANTS"."HUMAN_GENOME_VARIANTS"."_1000_GENOMES_PHASE_3_OPTIMIZED_SCHEMA_VARIANTS_20150220" + WHERE "reference_bases" IN ('AT', + 'TA')), + B AS + (SELECT "reference_bases", + MIN("start_position") AS "min_start_position", + MAX("start_position") AS "max_start_position", + COUNT(1) AS "total_count" + FROM A + GROUP BY "reference_bases"), + min_counts AS + (SELECT A."reference_bases", -- Explicitly referencing the column from table A + A."start_position" AS "min_start_position", + COUNT(1) AS "min_count" + FROM A + INNER JOIN B ON A."reference_bases" = B."reference_bases" + WHERE A."start_position" = B."min_start_position" + GROUP BY A."reference_bases", + A."start_position"), + max_counts AS + (SELECT A."reference_bases", -- Explicitly referencing the column from table A + A."start_position" AS "max_start_position", + COUNT(1) AS "max_count" + FROM A + INNER JOIN B ON A."reference_bases" = B."reference_bases" + WHERE A."start_position" = B."max_start_position" + GROUP BY A."reference_bases", + A."start_position") +SELECT B."reference_bases", -- Explicitly referencing the column from table B + B."min_start_position", + CAST(min_counts."min_count" AS FLOAT) / B."total_count" AS "min_position_ratio", + B."max_start_position", + CAST(max_counts."max_count" AS FLOAT) / B."total_count" AS "max_position_ratio" +FROM B +LEFT JOIN min_counts ON B."reference_bases" = min_counts."reference_bases" +AND B."min_start_position" = min_counts."min_start_position" +LEFT JOIN max_counts ON B."reference_bases" = max_counts."reference_bases" +AND B."max_start_position" = max_counts."max_start_position" +ORDER BY B."reference_bases"; diff --git a/spider2/queries/lite_sf_bq043.sql b/spider2/queries/lite_sf_bq043.sql index bd5931d3be6f6f3e763b46f363e641257c16c606..278ab65b0fe2e3a523e41433161e59f049ddf383 100644 --- a/spider2/queries/lite_sf_bq043.sql +++ b/spider2/queries/lite_sf_bq043.sql @@ -1,47 +1,34 @@ -SELECT - genex."case_barcode" AS "case_barcode", - genex."sample_barcode" AS "sample_barcode", - genex."aliquot_barcode" AS "aliquot_barcode", - genex."HGNC_gene_symbol" AS "HGNC_gene_symbol", - clinical_info."Variant_Type" AS "Variant_Type", - genex."gene_id" AS "gene_id", - genex."normalized_count" AS "normalized_count", - genex."project_short_name" AS "project_short_name", - clinical_info."demo__gender" AS "gender", - clinical_info."demo__vital_status" AS "vital_status", - clinical_info."demo__days_to_death" AS "days_to_death" -FROM ( - SELECT - case_list."Variant_Type" AS "Variant_Type", - case_list."case_barcode" AS "case_barcode", - clinical."demo__gender", - clinical."demo__vital_status", - clinical."demo__days_to_death" - FROM - (SELECT - mutation."case_barcode", - mutation."Variant_Type" - FROM - "TCGA"."TCGA_VERSIONED"."SOMATIC_MUTATION_HG19_DCC_2017_02" AS mutation - WHERE - mutation."Hugo_Symbol" = 'CDKN2A' - AND mutation."project_short_name" = 'TCGA-BLCA' - GROUP BY - mutation."case_barcode", - mutation."Variant_Type" - ORDER BY - mutation."case_barcode" - ) AS case_list /* end case_list */ - INNER JOIN - "TCGA"."TCGA_VERSIONED"."CLINICAL_GDC_R39" AS clinical - ON - case_list."case_barcode" = clinical."submitter_id" /* end clinical annotation */ ) AS clinical_info -INNER JOIN - "TCGA"."TCGA_VERSIONED"."RNASEQ_HG19_GDC_2017_02" AS genex -ON - genex."case_barcode" = clinical_info."case_barcode" -WHERE - genex."HGNC_gene_symbol" IN ('MDM2', 'TP53', 'CDKN1A','CCNE1') -ORDER BY - "case_barcode", - "HGNC_gene_symbol"; +SELECT genex."case_barcode" AS "case_barcode", + genex."sample_barcode" AS "sample_barcode", + genex."aliquot_barcode" AS "aliquot_barcode", + genex."HGNC_gene_symbol" AS "HGNC_gene_symbol", + clinical_info."Variant_Type" AS "Variant_Type", + genex."gene_id" AS "gene_id", + genex."normalized_count" AS "normalized_count", + genex."project_short_name" AS "project_short_name", + clinical_info."demo__gender" AS "gender", + clinical_info."demo__vital_status" AS "vital_status", + clinical_info."demo__days_to_death" AS "days_to_death" +FROM + (SELECT case_list."Variant_Type" AS "Variant_Type", + case_list."case_barcode" AS "case_barcode", + clinical."demo__gender", + clinical."demo__vital_status", + clinical."demo__days_to_death" + FROM + (SELECT mutation."case_barcode", + mutation."Variant_Type" + FROM "TCGA"."TCGA_VERSIONED"."SOMATIC_MUTATION_HG19_DCC_2017_02" AS mutation + WHERE mutation."Hugo_Symbol" = 'CDKN2A' + AND mutation."project_short_name" = 'TCGA-BLCA' + GROUP BY mutation."case_barcode", + mutation."Variant_Type" + ORDER BY mutation."case_barcode") AS case_list /* end case_list */ + INNER JOIN "TCGA"."TCGA_VERSIONED"."CLINICAL_GDC_R39" AS clinical ON case_list."case_barcode" = clinical."submitter_id" /* end clinical annotation */) AS clinical_info +INNER JOIN "TCGA"."TCGA_VERSIONED"."RNASEQ_HG19_GDC_2017_02" AS genex ON genex."case_barcode" = clinical_info."case_barcode" +WHERE genex."HGNC_gene_symbol" IN ('MDM2', + 'TP53', + 'CDKN1A', + 'CCNE1') +ORDER BY "case_barcode", + "HGNC_gene_symbol"; diff --git a/spider2/queries/lite_sf_bq050.sql b/spider2/queries/lite_sf_bq050.sql index f7869e708bef629238faa76933736cb10c9815f5..d1a56bf7a2d71b5ac219746e454eec337240d353 100644 --- a/spider2/queries/lite_sf_bq050.sql +++ b/spider2/queries/lite_sf_bq050.sql @@ -1,98 +1,63 @@ -WITH data AS ( - SELECT - "ZIPSTARTNAME"."borough" AS "borough_start", - "ZIPSTARTNAME"."neighborhood" AS "neighborhood_start", - "ZIPENDNAME"."borough" AS "borough_end", - "ZIPENDNAME"."neighborhood" AS "neighborhood_end", - CAST("TRI"."tripduration" / 60 AS NUMERIC) AS "trip_minutes", - "WEA"."temp" AS "temperature", - CAST("WEA"."wdsp" AS NUMERIC) AS "wind_speed", - "WEA"."prcp" AS "precipitation", - EXTRACT(MONTH FROM DATE("TRI"."starttime")) AS "start_month" - FROM - "NEW_YORK_CITIBIKE_1"."NEW_YORK_CITIBIKE"."CITIBIKE_TRIPS" AS "TRI" - INNER JOIN - "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" AS "ZIPSTART" - ON ST_WITHIN( - ST_POINT("TRI"."start_station_longitude", "TRI"."start_station_latitude"), - ST_GEOGFROMWKB("ZIPSTART"."zip_code_geom") - ) - INNER JOIN - "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" AS "ZIPEND" - ON ST_WITHIN( - ST_POINT("TRI"."end_station_longitude", "TRI"."end_station_latitude"), - ST_GEOGFROMWKB("ZIPEND"."zip_code_geom") - ) - INNER JOIN - "NEW_YORK_CITIBIKE_1"."NOAA_GSOD"."GSOD2014" AS "WEA" - ON TO_DATE(CONCAT("WEA"."year", LPAD("WEA"."mo", 2, '0'), LPAD("WEA"."da", 2, '0')), 'YYYYMMDD') = DATE("TRI"."starttime") - INNER JOIN - "NEW_YORK_CITIBIKE_1"."CYCLISTIC"."ZIP_CODES" AS "ZIPSTARTNAME" - ON "ZIPSTART"."zip_code" = CAST("ZIPSTARTNAME"."zip" AS STRING) - INNER JOIN - "NEW_YORK_CITIBIKE_1"."CYCLISTIC"."ZIP_CODES" AS "ZIPENDNAME" - ON "ZIPEND"."zip_code" = CAST("ZIPENDNAME"."zip" AS STRING) - WHERE - "WEA"."wban" = ( - SELECT "wban" - FROM "NEW_YORK_CITIBIKE_1"."NOAA_GSOD"."STATIONS" - WHERE - "state" = 'NY' - AND LOWER("name") LIKE LOWER('%New York Central Park%') - LIMIT 1 - ) - AND EXTRACT(YEAR FROM DATE("TRI"."starttime")) = 2014 -), -agg_data AS ( - SELECT - "borough_start", - "neighborhood_start", - "borough_end", - "neighborhood_end", - COUNT(*) AS "num_trips", - ROUND(AVG("trip_minutes"), 1) AS "avg_trip_minutes", - ROUND(AVG("temperature"), 1) AS "avg_temperature", - ROUND(AVG("wind_speed"), 1) AS "avg_wind_speed", - ROUND(AVG("precipitation"), 1) AS "avg_precipitation" - FROM data - GROUP BY - "borough_start", - "neighborhood_start", - "borough_end", - "neighborhood_end" -), -most_common_months AS ( - SELECT - "borough_start", - "neighborhood_start", - "borough_end", - "neighborhood_end", - "start_month", - ROW_NUMBER() OVER ( - PARTITION BY "borough_start", "neighborhood_start", "borough_end", "neighborhood_end" - ORDER BY COUNT(*) DESC - ) AS "row_num" - FROM data - GROUP BY - "borough_start", - "neighborhood_start", - "borough_end", - "neighborhood_end", - "start_month" -) - -SELECT - a.*, - m."start_month" AS "most_common_month" -FROM - agg_data a -JOIN - most_common_months m - ON a."borough_start" = m."borough_start" - AND a."neighborhood_start" = m."neighborhood_start" - AND a."borough_end" = m."borough_end" - AND a."neighborhood_end" = m."neighborhood_end" - AND m."row_num" = 1 -ORDER BY - a."neighborhood_start", - a."neighborhood_end"; +WITH DATA AS + (SELECT "ZIPSTARTNAME"."borough" AS "borough_start", + "ZIPSTARTNAME"."neighborhood" AS "neighborhood_start", + "ZIPENDNAME"."borough" AS "borough_end", + "ZIPENDNAME"."neighborhood" AS "neighborhood_end", + CAST("TRI"."tripduration" / 60 AS NUMERIC) AS "trip_minutes", + "WEA"."temp" AS "temperature", + CAST("WEA"."wdsp" AS NUMERIC) AS "wind_speed", + "WEA"."prcp" AS "precipitation", + EXTRACT(MONTH + FROM DATE("TRI"."starttime")) AS "start_month" + FROM "NEW_YORK_CITIBIKE_1"."NEW_YORK_CITIBIKE"."CITIBIKE_TRIPS" AS "TRI" + INNER JOIN "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" AS "ZIPSTART" ON ST_WITHIN(ST_POINT("TRI"."start_station_longitude", "TRI"."start_station_latitude"), ST_GEOGFROMWKB("ZIPSTART"."zip_code_geom")) + INNER JOIN "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" AS "ZIPEND" ON ST_WITHIN(ST_POINT("TRI"."end_station_longitude", "TRI"."end_station_latitude"), ST_GEOGFROMWKB("ZIPEND"."zip_code_geom")) + INNER JOIN "NEW_YORK_CITIBIKE_1"."NOAA_GSOD"."GSOD2014" AS "WEA" ON TO_DATE(CONCAT("WEA"."year", LPAD("WEA"."mo", 2, '0'), LPAD("WEA"."da", 2, '0')), 'YYYYMMDD') = DATE("TRI"."starttime") + INNER JOIN "NEW_YORK_CITIBIKE_1"."CYCLISTIC"."ZIP_CODES" AS "ZIPSTARTNAME" ON "ZIPSTART"."zip_code" = CAST("ZIPSTARTNAME"."zip" AS STRING) + INNER JOIN "NEW_YORK_CITIBIKE_1"."CYCLISTIC"."ZIP_CODES" AS "ZIPENDNAME" ON "ZIPEND"."zip_code" = CAST("ZIPENDNAME"."zip" AS STRING) + WHERE "WEA"."wban" = + (SELECT "wban" + FROM "NEW_YORK_CITIBIKE_1"."NOAA_GSOD"."STATIONS" + WHERE "state" = 'NY' + AND LOWER("name") LIKE LOWER('%New York Central Park%') + LIMIT 1) + AND EXTRACT(YEAR + FROM DATE("TRI"."starttime")) = 2014), agg_data AS + (SELECT "borough_start", + "neighborhood_start", + "borough_end", + "neighborhood_end", + COUNT(*) AS "num_trips", + ROUND(AVG("trip_minutes"), 1) AS "avg_trip_minutes", + ROUND(AVG("temperature"), 1) AS "avg_temperature", + ROUND(AVG("wind_speed"), 1) AS "avg_wind_speed", + ROUND(AVG("precipitation"), 1) AS "avg_precipitation" + FROM DATA + GROUP BY "borough_start", + "neighborhood_start", + "borough_end", + "neighborhood_end"), + most_common_months AS + (SELECT "borough_start", + "neighborhood_start", + "borough_end", + "neighborhood_end", + "start_month", + ROW_NUMBER() OVER (PARTITION BY "borough_start", "neighborhood_start", "borough_end", "neighborhood_end" + ORDER BY COUNT(*) DESC) AS "row_num" + FROM DATA + GROUP BY "borough_start", + "neighborhood_start", + "borough_end", + "neighborhood_end", + "start_month") +SELECT a.*, + m."start_month" AS "most_common_month" +FROM agg_data a +JOIN most_common_months m ON a."borough_start" = m."borough_start" +AND a."neighborhood_start" = m."neighborhood_start" +AND a."borough_end" = m."borough_end" +AND a."neighborhood_end" = m."neighborhood_end" +AND m."row_num" = 1 +ORDER BY a."neighborhood_start", + a."neighborhood_end"; diff --git a/spider2/queries/lite_sf_bq052.sql b/spider2/queries/lite_sf_bq052.sql index bd290d311cb9829291eca0976fd2559fa4c19419..8d21c6bd2441a37ffcfbc1a589c56ccaf1b809ec 100644 --- a/spider2/queries/lite_sf_bq052.sql +++ b/spider2/queries/lite_sf_bq052.sql @@ -1,72 +1,45 @@ -SELECT - app."patent_id" AS "patent_id", - patent."title", - app."date" AS "application_date", - filterData."bkwdCitations_1", - filterData."fwrdCitations_1", - summary."text" AS "summary_text" -FROM - PATENTSVIEW.PATENTSVIEW.BRF_SUM_TEXT AS summary +SELECT app."patent_id" AS "patent_id", + patent."title", + app."date" AS "application_date", + filterData."bkwdCitations_1", + filterData."fwrdCitations_1", + summary."text" AS "summary_text" +FROM PATENTSVIEW.PATENTSVIEW.BRF_SUM_TEXT AS SUMMARY +JOIN PATENTSVIEW.PATENTSVIEW.PATENT AS patent ON summary."patent_id" = patent."id" +JOIN PATENTSVIEW.PATENTSVIEW.APPLICATION AS app ON app."patent_id" = summary."patent_id" JOIN - PATENTSVIEW.PATENTSVIEW.PATENT AS patent - ON summary."patent_id" = patent."id" -JOIN - PATENTSVIEW.PATENTSVIEW.APPLICATION AS app - ON app."patent_id" = summary."patent_id" -JOIN ( - SELECT DISTINCT - cpc."patent_id", - IFNULL(citation_1."bkwdCitations_1", 0) AS "bkwdCitations_1", - IFNULL(citation_1."fwrdCitations_1", 0) AS "fwrdCitations_1" - FROM - PATENTSVIEW.PATENTSVIEW.CPC_CURRENT AS cpc - JOIN ( - SELECT - b."patent_id", - b."bkwdCitations_1", - f."fwrdCitations_1" - FROM ( - SELECT - cited."patent_id", + (SELECT DISTINCT cpc."patent_id", + IFNULL(citation_1."bkwdCitations_1", 0) AS "bkwdCitations_1", + IFNULL(citation_1."fwrdCitations_1", 0) AS "fwrdCitations_1" + FROM PATENTSVIEW.PATENTSVIEW.CPC_CURRENT AS cpc + JOIN + (SELECT b."patent_id", + b."bkwdCitations_1", + f."fwrdCitations_1" + FROM + (SELECT cited."patent_id", COUNT(*) AS "fwrdCitations_1" - FROM - PATENTSVIEW.PATENTSVIEW.USPATENTCITATION AS cited - JOIN - PATENTSVIEW.PATENTSVIEW.APPLICATION AS apps - ON cited."patent_id" = apps."patent_id" - WHERE - apps."country" = 'US' - AND cited."date" >= apps."date" - AND TRY_CAST(cited."date" AS DATE) <= DATEADD(MONTH, 1, TRY_CAST(apps."date" AS DATE)) -- Citation within 1 month - GROUP BY - cited."patent_id" - ) AS f - JOIN ( - SELECT - cited."patent_id", + FROM PATENTSVIEW.PATENTSVIEW.USPATENTCITATION AS cited + JOIN PATENTSVIEW.PATENTSVIEW.APPLICATION AS apps ON cited."patent_id" = apps."patent_id" + WHERE apps."country" = 'US' + AND cited."date" >= apps."date" + AND TRY_CAST(cited."date" AS DATE) <= DATEADD(MONTH, 1, TRY_CAST(apps."date" AS DATE)) -- Citation within 1 month + + GROUP BY cited."patent_id") AS f + JOIN + (SELECT cited."patent_id", COUNT(*) AS "bkwdCitations_1" - FROM - PATENTSVIEW.PATENTSVIEW.USPATENTCITATION AS cited - JOIN - PATENTSVIEW.PATENTSVIEW.APPLICATION AS apps - ON cited."patent_id" = apps."patent_id" - WHERE - apps."country" = 'US' - AND cited."date" < apps."date" - AND TRY_CAST(cited."date" AS DATE) >= DATEADD(MONTH, -1, TRY_CAST(apps."date" AS DATE)) -- Citation within 1 month before - GROUP BY - cited."patent_id" - ) AS b - ON b."patent_id" = f."patent_id" - WHERE - b."bkwdCitations_1" IS NOT NULL - AND f."fwrdCitations_1" IS NOT NULL - AND (b."bkwdCitations_1" > 0 OR f."fwrdCitations_1" > 0) - ) AS citation_1 - ON cpc."patent_id" = citation_1."patent_id" - WHERE - cpc."subsection_id" = 'C05' - OR cpc."group_id" = 'A01G' -) AS filterData -ON app."patent_id" = filterData."patent_id" + FROM PATENTSVIEW.PATENTSVIEW.USPATENTCITATION AS cited + JOIN PATENTSVIEW.PATENTSVIEW.APPLICATION AS apps ON cited."patent_id" = apps."patent_id" + WHERE apps."country" = 'US' + AND cited."date" < apps."date" + AND TRY_CAST(cited."date" AS DATE) >= DATEADD(MONTH, -1, TRY_CAST(apps."date" AS DATE)) -- Citation within 1 month before + + GROUP BY cited."patent_id") AS b ON b."patent_id" = f."patent_id" + WHERE b."bkwdCitations_1" IS NOT NULL + AND f."fwrdCitations_1" IS NOT NULL + AND (b."bkwdCitations_1" > 0 + OR f."fwrdCitations_1" > 0)) AS citation_1 ON cpc."patent_id" = citation_1."patent_id" + WHERE cpc."subsection_id" = 'C05' + OR cpc."group_id" = 'A01G') AS filterData ON app."patent_id" = filterData."patent_id" ORDER BY app."date"; diff --git a/spider2/queries/lite_sf_bq057.sql b/spider2/queries/lite_sf_bq057.sql index 6b798d06ceacbf2d61943623bdcc234da9e02016..932802293c8fc2d0e417ac80b0f535d804f4737c 100644 --- a/spider2/queries/lite_sf_bq057.sql +++ b/spider2/queries/lite_sf_bq057.sql @@ -1,94 +1,80 @@ -WITH totals AS ( - -- Aggregate monthly totals for Bitcoin txs, input/output UTXOs, - -- and input/output values (UTXO stands for Unspent Transaction Output) - SELECT - "txs_tot"."block_timestamp_month" AS tx_month, +WITH totals AS + (-- Aggregate monthly totals for Bitcoin txs, input/output UTXOs, + -- and input/output values (UTXO stands for Unspent Transaction Output) + SELECT "txs_tot"."block_timestamp_month" AS tx_month, COUNT("txs_tot"."hash") AS tx_count, SUM("txs_tot"."input_count") AS tx_inputs, SUM("txs_tot"."output_count") AS tx_outputs, SUM("txs_tot"."input_value") / 100000000 AS tx_input_val, SUM("txs_tot"."output_value") / 100000000 AS tx_output_val - FROM CRYPTO.CRYPTO_BITCOIN.TRANSACTIONS AS "txs_tot" - WHERE "txs_tot"."block_timestamp_month" BETWEEN CAST('2021-01-01' AS DATE) AND CAST('2021-12-31' AS DATE) - GROUP BY "txs_tot"."block_timestamp_month" - ORDER BY "txs_tot"."block_timestamp_month" DESC -), -coinjoinOuts AS ( - -- Builds a table where each row represents an output of a - -- potential CoinJoin tx, defined as a tx that had more - -- than two outputs and had a total output value less than its - -- input value, per Adam Fiscor's description in this article: - SELECT - "txs"."hash", - "txs"."block_number", - "txs"."block_timestamp_month", - "txs"."input_count", - "txs"."output_count", - "txs"."input_value", - "txs"."output_value", - "o".value:"value" AS "outputs_val" - FROM CRYPTO.CRYPTO_BITCOIN.TRANSACTIONS AS "txs", - LATERAL FLATTEN(INPUT => "txs"."outputs") AS "o" - WHERE "txs"."output_count" > 2 - AND "txs"."output_value" <= "txs"."input_value" - AND "txs"."block_timestamp_month" BETWEEN CAST('2021-01-01' AS DATE) AND CAST('2021-12-31' AS DATE) - ORDER BY "txs"."block_number", "txs"."hash" DESC -), -coinjoinTxs AS ( - -- Builds a table of just the distinct CoinJoin tx hashes - -- which had more than one equal-value output. - SELECT - "coinjoinouts"."hash" AS "cjhash", + FROM CRYPTO.CRYPTO_BITCOIN.TRANSACTIONS AS "txs_tot" + WHERE "txs_tot"."block_timestamp_month" BETWEEN CAST('2021-01-01' AS DATE) AND CAST('2021-12-31' AS DATE) + GROUP BY "txs_tot"."block_timestamp_month" + ORDER BY "txs_tot"."block_timestamp_month" DESC), + coinjoinOuts AS + (-- Builds a table where each row represents an output of a + -- potential CoinJoin tx, defined as a tx that had more + -- than two outputs and had a total output value less than its + -- input value, per Adam Fiscor's description in this article: + SELECT "txs"."hash", + "txs"."block_number", + "txs"."block_timestamp_month", + "txs"."input_count", + "txs"."output_count", + "txs"."input_value", + "txs"."output_value", + "o".value:"value" AS "outputs_val" + FROM CRYPTO.CRYPTO_BITCOIN.TRANSACTIONS AS "txs", + LATERAL FLATTEN(INPUT => "txs"."outputs") AS "o" + WHERE "txs"."output_count" > 2 + AND "txs"."output_value" <= "txs"."input_value" + AND "txs"."block_timestamp_month" BETWEEN CAST('2021-01-01' AS DATE) AND CAST('2021-12-31' AS DATE) + ORDER BY "txs"."block_number", + "txs"."hash" DESC), + coinjoinTxs AS + (-- Builds a table of just the distinct CoinJoin tx hashes + -- which had more than one equal-value output. + SELECT "coinjoinouts"."hash" AS "cjhash", "coinjoinouts"."outputs_val" AS outputVal, COUNT(*) AS cjOuts - FROM coinjoinOuts AS "coinjoinouts" - GROUP BY "coinjoinouts"."hash", "coinjoinouts"."outputs_val" - HAVING COUNT(*) > 1 -), -coinjoinsD AS ( - -- Filter out all potential CoinJoin txs that did not have - -- more than one equal-value output. Do not list the - -- outputs themselves, only the distinct tx hashes and - -- their input/output counts and values. - SELECT DISTINCT - "coinjoinouts"."hash", - "coinjoinouts"."block_number", - "coinjoinouts"."block_timestamp_month", - "coinjoinouts"."input_count", - "coinjoinouts"."output_count", - "coinjoinouts"."input_value", - "coinjoinouts"."output_value" - FROM coinjoinOuts AS "coinjoinouts" - INNER JOIN coinjoinTxs AS "coinjointxs" - ON "coinjoinouts"."hash" = "coinjointxs"."cjhash" -), -coinjoins AS ( - -- Aggregate monthly totals for CoinJoin txs, input/output UTXOs, - -- and input/output values - SELECT - "cjs"."block_timestamp_month" AS cjs_month, + FROM coinjoinOuts AS "coinjoinouts" + GROUP BY "coinjoinouts"."hash", + "coinjoinouts"."outputs_val" + HAVING COUNT(*) > 1), + coinjoinsD AS + (-- Filter out all potential CoinJoin txs that did not have + -- more than one equal-value output. Do not list the + -- outputs themselves, only the distinct tx hashes and + -- their input/output counts and values. + SELECT DISTINCT "coinjoinouts"."hash", + "coinjoinouts"."block_number", + "coinjoinouts"."block_timestamp_month", + "coinjoinouts"."input_count", + "coinjoinouts"."output_count", + "coinjoinouts"."input_value", + "coinjoinouts"."output_value" + FROM coinjoinOuts AS "coinjoinouts" + INNER JOIN coinjoinTxs AS "coinjointxs" ON "coinjoinouts"."hash" = "coinjointxs"."cjhash"), + coinjoins AS + (-- Aggregate monthly totals for CoinJoin txs, input/output UTXOs, + -- and input/output values + SELECT "cjs"."block_timestamp_month" AS cjs_month, COUNT("cjs"."hash") AS cjs_count, SUM("cjs"."input_count") AS cjs_inputs, SUM("cjs"."output_count") AS cjs_outputs, SUM("cjs"."input_value") / 100000000 AS cjs_input_val, SUM("cjs"."output_value") / 100000000 AS cjs_output_val - FROM coinjoinsD AS "cjs" - GROUP BY "cjs"."block_timestamp_month" - ORDER BY "cjs"."block_timestamp_month" DESC -) -SELECT EXTRACT(MONTH FROM tx_month) AS month, - -- Calculate resulting CoinJoin percentages: - -- tx_percent = percent of monthly Bitcoin txs that were CoinJoins - ROUND(coinjoins.cjs_count / totals.tx_count * 100, 1) AS tx_percent, - - -- utxos_percent = percent of monthly Bitcoin utxos that were CoinJoins - ROUND((coinjoins.cjs_inputs / totals.tx_inputs + coinjoins.cjs_outputs / totals.tx_outputs) / 2 * 100, 1) AS utxos_percent, - - -- value_percent = percent of monthly Bitcoin volume that took place - -- in CoinJoined transactions - ROUND(coinjoins.cjs_input_val / totals.tx_input_val * 100, 1) AS value_percent + FROM coinjoinsD AS "cjs" + GROUP BY "cjs"."block_timestamp_month" + ORDER BY "cjs"."block_timestamp_month" DESC) +SELECT EXTRACT(MONTH + FROM tx_month) AS MONTH, -- Calculate resulting CoinJoin percentages: + -- tx_percent = percent of monthly Bitcoin txs that were CoinJoins + ROUND(coinjoins.cjs_count / totals.tx_count * 100, 1) AS tx_percent, -- utxos_percent = percent of monthly Bitcoin utxos that were CoinJoins + ROUND((coinjoins.cjs_inputs / totals.tx_inputs + coinjoins.cjs_outputs / totals.tx_outputs) / 2 * 100, 1) AS utxos_percent, -- value_percent = percent of monthly Bitcoin volume that took place + -- in CoinJoined transactions + ROUND(coinjoins.cjs_input_val / totals.tx_input_val * 100, 1) AS value_percent FROM totals -INNER JOIN coinjoins - ON totals.tx_month = coinjoins.cjs_month +INNER JOIN coinjoins ON totals.tx_month = coinjoins.cjs_month ORDER BY value_percent DESC LIMIT 1; diff --git a/spider2/queries/lite_sf_bq068.sql b/spider2/queries/lite_sf_bq068.sql index e1f8dc97a86ab695c339438f904c0c3941fb60e4..82ea03596745fdb6c9110e87cf6dd5382ffae1c8 100644 --- a/spider2/queries/lite_sf_bq068.sql +++ b/spider2/queries/lite_sf_bq068.sql @@ -1,45 +1,34 @@ -WITH double_entry_book AS ( - -- debits - SELECT - ARRAY_TO_STRING("inputs".value:addresses, ',') AS "address", -- Use the correct JSON path notation - "inputs".value:type AS "type", - - "inputs".value:value AS "value" - FROM CRYPTO.CRYPTO_BITCOIN_CASH.TRANSACTIONS, - LATERAL FLATTEN(INPUT => "inputs") AS "inputs" - WHERE TO_TIMESTAMP("block_timestamp" / 1000000) >= '2014-03-01' - AND TO_TIMESTAMP("block_timestamp" / 1000000) < '2014-04-01' - - UNION ALL - - -- credits - SELECT - ARRAY_TO_STRING("outputs".value:addresses, ',') AS "address", -- Use the correct JSON path notation - "outputs".value:type AS "type", - "outputs".value:value AS "value" - FROM CRYPTO.CRYPTO_BITCOIN_CASH.TRANSACTIONS, - LATERAL FLATTEN(INPUT => "outputs") AS "outputs" - WHERE TO_TIMESTAMP("block_timestamp" / 1000000) >= '2014-03-01' - AND TO_TIMESTAMP("block_timestamp" / 1000000) < '2014-04-01' -), -address_balances AS ( - SELECT - "address", - "type", - SUM("value") AS "balance" - FROM double_entry_book - GROUP BY "address", "type" -), -max_min_balances AS ( - SELECT - "type", - MAX("balance") AS max_balance, - MIN("balance") AS min_balance - FROM address_balances - GROUP BY "type" -) -SELECT - REPLACE("type", '"', '') AS "type", -- Replace double quotes with nothing - max_balance, - min_balance +WITH double_entry_book AS + (-- debits + SELECT ARRAY_TO_STRING("inputs".value:addresses, ',') AS "address", -- Use the correct JSON path notation + "inputs".value:TYPE AS "type", - "inputs".value:value AS "value" + FROM CRYPTO.CRYPTO_BITCOIN_CASH.TRANSACTIONS, + LATERAL FLATTEN(INPUT => "inputs") AS "inputs" + WHERE TO_TIMESTAMP("block_timestamp" / 1000000) >= '2014-03-01' + AND TO_TIMESTAMP("block_timestamp" / 1000000) < '2014-04-01' + UNION ALL -- credits + SELECT ARRAY_TO_STRING("outputs".value:addresses, ',') AS "address", -- Use the correct JSON path notation + "outputs".value:TYPE AS "type", + "outputs".value:value AS "value" + FROM CRYPTO.CRYPTO_BITCOIN_CASH.TRANSACTIONS, + LATERAL FLATTEN(INPUT => "outputs") AS "outputs" + WHERE TO_TIMESTAMP("block_timestamp" / 1000000) >= '2014-03-01' + AND TO_TIMESTAMP("block_timestamp" / 1000000) < '2014-04-01'), + address_balances AS + (SELECT "address", + "type", + SUM("value") AS "balance" + FROM double_entry_book + GROUP BY "address", + "type"), + max_min_balances AS + (SELECT "type", + MAX("balance") AS max_balance, + MIN("balance") AS min_balance + FROM address_balances + GROUP BY "type") +SELECT REPLACE("type", '"', '') AS "type", -- Replace double quotes with nothing + max_balance, + min_balance FROM max_min_balances ORDER BY "type"; diff --git a/spider2/queries/lite_sf_bq070.sql b/spider2/queries/lite_sf_bq070.sql index 6c7f4bf846f83384f73d6df878827aed68048b35..e07eccd596a28f3f499ac173d9479daea0da922d 100644 --- a/spider2/queries/lite_sf_bq070.sql +++ b/spider2/queries/lite_sf_bq070.sql @@ -1,79 +1,57 @@ -WITH - sm_images AS ( - SELECT - "SeriesInstanceUID" AS "digital_slide_id", - "StudyInstanceUID" AS "case_id", - "ContainerIdentifier" AS "physical_slide_id", - "PatientID" AS "patient_id", - "TotalPixelMatrixColumns" AS "width", - "TotalPixelMatrixRows" AS "height", - "collection_id", - "crdc_instance_uuid", - "gcs_url", - CAST( - "SharedFunctionalGroupsSequence"[0]."PixelMeasuresSequence"[0]."PixelSpacing"[0] AS FLOAT - ) AS "pixel_spacing", - CASE "TransferSyntaxUID" - WHEN '1.2.840.10008.1.2.4.50' THEN 'jpeg' - WHEN '1.2.840.10008.1.2.4.91' THEN 'jpeg2000' - ELSE 'other' - END AS "compression" - FROM - IDC.IDC_V17.DICOM_ALL - WHERE - "Modality" = 'SM' - AND "ImageType"[2] = 'VOLUME' - ), +WITH sm_images AS + (SELECT "SeriesInstanceUID" AS "digital_slide_id", + "StudyInstanceUID" AS "case_id", + "ContainerIdentifier" AS "physical_slide_id", + "PatientID" AS "patient_id", + "TotalPixelMatrixColumns" AS "width", + "TotalPixelMatrixRows" AS "height", + "collection_id", + "crdc_instance_uuid", + "gcs_url", + CAST("SharedFunctionalGroupsSequence"[0]."PixelMeasuresSequence"[0]."PixelSpacing"[0] AS FLOAT) AS "pixel_spacing", + CASE "TransferSyntaxUID" + WHEN '1.2.840.10008.1.2.4.50' THEN 'jpeg' + WHEN '1.2.840.10008.1.2.4.91' THEN 'jpeg2000' + ELSE 'other' + END AS "compression" + FROM IDC.IDC_V17.DICOM_ALL + WHERE "Modality" = 'SM' + AND "ImageType"[2] = 'VOLUME'), + tissue_types AS + (SELECT DISTINCT * + FROM + (SELECT "SeriesInstanceUID" AS "digital_slide_id", + CASE "steps_unnested2".value:"CodeValue"::STRING + WHEN '17621005' THEN 'normal' -- meaning: 'Normal' (i.e., non-neoplastic) - tissue_types AS ( - SELECT DISTINCT * - FROM ( - SELECT - "SeriesInstanceUID" AS "digital_slide_id", - CASE "steps_unnested2".value:"CodeValue"::STRING - WHEN '17621005' THEN 'normal' -- meaning: 'Normal' (i.e., non-neoplastic) - WHEN '86049000' THEN 'tumor' -- meaning: 'Neoplasm, Primary' - ELSE 'other' -- meaning: 'Neoplasm, Metastatic' - END AS "tissue_type" - FROM - IDC.IDC_V17.DICOM_ALL - CROSS JOIN - LATERAL FLATTEN(input => "SpecimenDescriptionSequence"[0]."PrimaryAnatomicStructureSequence") AS "steps_unnested1" - CROSS JOIN - LATERAL FLATTEN(input => "steps_unnested1".value:"PrimaryAnatomicStructureModifierSequence") AS "steps_unnested2" - ) - ), + WHEN '86049000' THEN 'tumor' -- meaning: 'Neoplasm, Primary' - specimen_preparation_sequence_items AS ( - SELECT DISTINCT * - FROM ( - SELECT - "SeriesInstanceUID" AS "digital_slide_id", - "steps_unnested2".value:"ConceptNameCodeSequence"[0]."CodeMeaning"::STRING AS "item_name", - "steps_unnested2".value:"ConceptCodeSequence"[0]."CodeMeaning"::STRING AS "item_value" - FROM - IDC.IDC_V17.DICOM_ALL - CROSS JOIN - LATERAL FLATTEN(input => "SpecimenDescriptionSequence"[0]."SpecimenPreparationSequence") AS "steps_unnested1" - CROSS JOIN - LATERAL FLATTEN(input => "steps_unnested1".value:"SpecimenPreparationStepContentItemSequence") AS "steps_unnested2" - ) - ) + ELSE 'other' -- meaning: 'Neoplasm, Metastatic' -SELECT - a.*, - b."tissue_type", - REPLACE(REPLACE(a."collection_id", 'tcga_luad', 'luad'), 'tcga_lusc', 'lscc') AS "cancer_subtype" -FROM - sm_images AS a - JOIN tissue_types AS b - ON b."digital_slide_id" = a."digital_slide_id" - JOIN specimen_preparation_sequence_items AS c - ON c."digital_slide_id" = a."digital_slide_id" -WHERE - (a."collection_id" = 'tcga_luad' OR a."collection_id" = 'tcga_lusc') + END AS "tissue_type" + FROM IDC.IDC_V17.DICOM_ALL + CROSS JOIN LATERAL FLATTEN(INPUT => "SpecimenDescriptionSequence"[0]."PrimaryAnatomicStructureSequence") AS "steps_unnested1" + CROSS JOIN LATERAL FLATTEN(INPUT => "steps_unnested1".value:"PrimaryAnatomicStructureModifierSequence") AS "steps_unnested2")), + specimen_preparation_sequence_items AS + (SELECT DISTINCT * + FROM + (SELECT "SeriesInstanceUID" AS "digital_slide_id", + "steps_unnested2".value:"ConceptNameCodeSequence"[0]."CodeMeaning"::STRING AS "item_name", + "steps_unnested2".value:"ConceptCodeSequence"[0]."CodeMeaning"::STRING AS "item_value" + FROM IDC.IDC_V17.DICOM_ALL + CROSS JOIN LATERAL FLATTEN(INPUT => "SpecimenDescriptionSequence"[0]."SpecimenPreparationSequence") AS "steps_unnested1" + CROSS JOIN LATERAL FLATTEN(INPUT => "steps_unnested1".value:"SpecimenPreparationStepContentItemSequence") AS "steps_unnested2")) +SELECT a.*, + b."tissue_type", + REPLACE(REPLACE(a."collection_id", 'tcga_luad', 'luad'), 'tcga_lusc', 'lscc') AS "cancer_subtype" +FROM sm_images AS a +JOIN tissue_types AS b ON b."digital_slide_id" = a."digital_slide_id" +JOIN specimen_preparation_sequence_items AS c ON c."digital_slide_id" = a."digital_slide_id" +WHERE (a."collection_id" = 'tcga_luad' + OR a."collection_id" = 'tcga_lusc') AND a."compression" != 'other' - AND (b."tissue_type" = 'normal' OR b."tissue_type" = 'tumor') - AND (c."item_name" = 'Embedding medium' AND c."item_value" = 'Tissue freezing medium') -ORDER BY - a."crdc_instance_uuid"; + AND (b."tissue_type" = 'normal' + OR b."tissue_type" = 'tumor') + AND (c."item_name" = 'Embedding medium' + AND c."item_value" = 'Tissue freezing medium') +ORDER BY a."crdc_instance_uuid"; diff --git a/spider2/queries/lite_sf_bq072.sql b/spider2/queries/lite_sf_bq072.sql index fcc90652a486f4ae24c151cd96a3c24666c23ec2..e2a504a2b83c4c2b311cc9dc1e7759d640ecae0c 100644 --- a/spider2/queries/lite_sf_bq072.sql +++ b/spider2/queries/lite_sf_bq072.sql @@ -1,56 +1,43 @@ -WITH BlackRace AS ( - SELECT CAST("Code" AS INT) AS CODE - FROM DEATH.DEATH.RACE - WHERE LOWER("Description") LIKE '%black%' -) -SELECT - v."Age", - v."Total" AS "Vehicle_Total", - v."Black" AS "Vehicle_Black", - g."Total" AS "Gun_Total", - g."Black" AS "Gun_Black" -FROM ( - SELECT - "Age", - COUNT(*) AS "Total", - COUNT_IF("Race" IN (SELECT CODE FROM BlackRace)) AS "Black" - FROM DEATH.DEATH.DEATHRECORDS d - JOIN ( - SELECT - DISTINCT e."DeathRecordId" AS "id" - FROM DEATH.DEATH.ENTITYAXISCONDITIONS e - JOIN ( - SELECT * - FROM DEATH.DEATH.ICD10CODE - WHERE LOWER("Description") LIKE '%vehicle%' - ) c - ON e."Icd10Code" = c."Code" - ) f - ON d."Id" = f."id" - WHERE "Age" BETWEEN 12 AND 18 - GROUP BY "Age" -) v -- Vehicle +WITH BlackRace AS + (SELECT CAST("Code" AS INT) AS CODE + FROM DEATH.DEATH.RACE + WHERE LOWER("Description") LIKE '%black%') +SELECT v."Age", + v."Total" AS "Vehicle_Total", + v."Black" AS "Vehicle_Black", + g."Total" AS "Gun_Total", + g."Black" AS "Gun_Black" +FROM + (SELECT "Age", + COUNT(*) AS "Total", + COUNT_IF("Race" IN + (SELECT CODE + FROM BlackRace)) AS "Black" + FROM DEATH.DEATH.DEATHRECORDS d + JOIN + (SELECT DISTINCT e."DeathRecordId" AS "id" + FROM DEATH.DEATH.ENTITYAXISCONDITIONS e + JOIN + (SELECT * + FROM DEATH.DEATH.ICD10CODE + WHERE LOWER("Description") LIKE '%vehicle%') c ON e."Icd10Code" = c."Code") f ON d."Id" = f."id" + WHERE "Age" BETWEEN 12 AND 18 + GROUP BY "Age") v -- Vehicle -JOIN ( - SELECT - "Age", - COUNT(*) AS "Total", - COUNT_IF("Race" IN (SELECT CODE FROM BlackRace)) AS "Black" - FROM DEATH.DEATH.DEATHRECORDS d - JOIN ( - SELECT - DISTINCT e."DeathRecordId" AS "id" - FROM DEATH.DEATH.ENTITYAXISCONDITIONS e - JOIN ( - SELECT - "Code", "Description" - FROM DEATH.DEATH.ICD10CODE - WHERE "Description" LIKE '%firearm%' - ) c - ON e."Icd10Code" = c."Code" - ) f - ON d."Id" = f."id" - WHERE "Age" BETWEEN 12 AND 18 - GROUP BY "Age" -) g -ON g."Age" = v."Age"; +JOIN + (SELECT "Age", + COUNT(*) AS "Total", + COUNT_IF("Race" IN + (SELECT CODE + FROM BlackRace)) AS "Black" + FROM DEATH.DEATH.DEATHRECORDS d + JOIN + (SELECT DISTINCT e."DeathRecordId" AS "id" + FROM DEATH.DEATH.ENTITYAXISCONDITIONS e + JOIN + (SELECT "Code", + "Description" + FROM DEATH.DEATH.ICD10CODE + WHERE "Description" LIKE '%firearm%') c ON e."Icd10Code" = c."Code") f ON d."Id" = f."id" + WHERE "Age" BETWEEN 12 AND 18 + GROUP BY "Age") g ON g."Age" = v."Age"; diff --git a/spider2/queries/lite_sf_bq083.sql b/spider2/queries/lite_sf_bq083.sql index ea445b955102a1f4122ebf6790c6d19141470053..6bd4aeacb46f0ec4cb990e43f29c5ec75ea4dba0 100644 --- a/spider2/queries/lite_sf_bq083.sql +++ b/spider2/queries/lite_sf_bq083.sql @@ -1,25 +1,18 @@ -SELECT - TO_DATE(TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) AS "Date", -- 将时间戳转换为日期格式，除以1000000 - TO_CHAR(SUM( - CASE - WHEN "input" LIKE '0x40c10f19%' THEN 1 - ELSE -1 - END * - CAST(CONCAT('0x', LTRIM(SUBSTRING("input", - CASE - WHEN "input" LIKE '0x40c10f19%' THEN 75 - ELSE 11 - END, 64), '0')) AS FLOAT) / 1000000) - , '$999,999,999,999') AS "Δ Total Market Value" -FROM - "CRYPTO"."CRYPTO_ETHEREUM"."TRANSACTIONS" -WHERE - TO_DATE(TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) BETWEEN '2023-01-01' AND '2023-12-31' - AND "to_address" = '0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48' -- USDC Token +SELECT TO_DATE(TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) AS "Date", -- 将时间戳转换为日期格式，除以1000000 + TO_CHAR(SUM(CASE + WHEN "input" LIKE '0x40c10f19%' THEN 1 + ELSE -1 + END * CAST(CONCAT('0x', LTRIM(SUBSTRING("input", CASE + WHEN "input" LIKE '0x40c10f19%' THEN 75 + ELSE 11 + END, 64), '0')) AS FLOAT) / 1000000) , '$999,999,999,999') AS "Δ Total Market Value" +FROM "CRYPTO"."CRYPTO_ETHEREUM"."TRANSACTIONS" +WHERE TO_DATE(TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) BETWEEN '2023-01-01' AND '2023-12-31' + AND "to_address" = '0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48' -- USDC Token + AND ("input" LIKE '0x42966c68%' -- Burn + OR "input" LIKE '0x40c10f19%' -- Mint - ) -GROUP BY - TO_DATE(TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) -ORDER BY - "Date" DESC; +) +GROUP BY TO_DATE(TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) +ORDER BY "Date" DESC; diff --git a/spider2/queries/lite_sf_bq091.sql b/spider2/queries/lite_sf_bq091.sql index 6065cf0ed94c579f51edcdb130c33659a530065b..1e381e5f53ba70338a6aabfd45186a670f119d9b 100644 --- a/spider2/queries/lite_sf_bq091.sql +++ b/spider2/queries/lite_sf_bq091.sql @@ -1,62 +1,39 @@ -WITH AA AS ( - SELECT - FIRST_VALUE("assignee_harmonized") OVER (PARTITION BY "application_number" ORDER BY "application_number") AS assignee_harmonized, - FIRST_VALUE("filing_date") OVER (PARTITION BY "application_number" ORDER BY "application_number") AS filing_date, - "application_number" - FROM - PATENTS.PATENTS.PUBLICATIONS AS pubs - , LATERAL FLATTEN(input => pubs."cpc") AS c - WHERE - c.value:"code" LIKE 'A61%' -), - -PatentApplications AS ( - SELECT - ANY_VALUE(assignee_harmonized) as assignee_harmonized, - ANY_VALUE(filing_date) as filing_date - FROM AA - GROUP BY "application_number" -), - -AssigneeApplications AS ( -SELECT - COUNT(*) AS total_applications, - a.value::STRING AS assignee_name, - CAST(FLOOR(filing_date / 10000) AS INT) AS filing_year -FROM - PatentApplications - , LATERAL FLATTEN(input => assignee_harmonized) AS a -GROUP BY - a.value::STRING, filing_year -), - -TotalApplicationsPerAssignee AS ( - SELECT - assignee_name, - SUM(total_applications) AS total_applications - FROM - AssigneeApplications - GROUP BY - assignee_name - ORDER BY - total_applications DESC - LIMIT 1 -), - -MaxYearForTopAssignee AS ( - SELECT - aa.assignee_name, - aa.filing_year, - aa.total_applications - FROM - AssigneeApplications aa - INNER JOIN - TotalApplicationsPerAssignee tapa ON aa.assignee_name = tapa.assignee_name - ORDER BY - aa.total_applications DESC - LIMIT 1 -) - +WITH AA AS + (SELECT FIRST_VALUE("assignee_harmonized") OVER (PARTITION BY "application_number" + ORDER BY "application_number") AS assignee_harmonized, + FIRST_VALUE("filing_date") OVER (PARTITION BY "application_number" + ORDER BY "application_number") AS filing_date, + "application_number" + FROM PATENTS.PATENTS.PUBLICATIONS AS pubs , + LATERAL FLATTEN(INPUT => pubs."cpc") AS c + WHERE c.value:"code" LIKE 'A61%'), + PatentApplications AS + (SELECT ANY_VALUE(assignee_harmonized) AS assignee_harmonized, + ANY_VALUE(filing_date) AS filing_date + FROM AA + GROUP BY "application_number"), + AssigneeApplications AS + (SELECT COUNT(*) AS total_applications, + a.value::STRING AS assignee_name, + CAST(FLOOR(filing_date / 10000) AS INT) AS filing_year + FROM PatentApplications , + LATERAL FLATTEN(INPUT => assignee_harmonized) AS a + GROUP BY a.value::STRING, + filing_year), + TotalApplicationsPerAssignee AS + (SELECT assignee_name, + SUM(total_applications) AS total_applications + FROM AssigneeApplications + GROUP BY assignee_name + ORDER BY total_applications DESC + LIMIT 1), + MaxYearForTopAssignee AS + (SELECT aa.assignee_name, + aa.filing_year, + aa.total_applications + FROM AssigneeApplications aa + INNER JOIN TotalApplicationsPerAssignee tapa ON aa.assignee_name = tapa.assignee_name + ORDER BY aa.total_applications DESC + LIMIT 1) SELECT filing_year -FROM - MaxYearForTopAssignee +FROM MaxYearForTopAssignee diff --git a/spider2/queries/lite_sf_bq093.sql b/spider2/queries/lite_sf_bq093.sql index 889a58d8f46bbdba5bd1b26c7f378423c1faca14..cb0af5eea72fdaa496a31b70ac8ec74a2b689c3d 100644 --- a/spider2/queries/lite_sf_bq093.sql +++ b/spider2/queries/lite_sf_bq093.sql @@ -1,68 +1,41 @@ -WITH double_entry_book AS ( - -- Debits - SELECT - "to_address" AS "address", +WITH double_entry_book AS + (-- Debits + SELECT "to_address" AS "address", "value" AS "value" - FROM - CRYPTO.CRYPTO_ETHEREUM_CLASSIC.TRACES - WHERE - "to_address" IS NOT NULL - AND "status" = 1 - AND ("call_type" NOT IN ('delegatecall', 'callcode', 'staticcall') OR "call_type" IS NULL) - AND TO_DATE(TO_TIMESTAMP("block_timestamp" / 1000000)) = '2016-10-14' - - UNION ALL - - -- Credits - SELECT - "from_address" AS "address", - - "value" AS "value" - FROM - CRYPTO.CRYPTO_ETHEREUM_CLASSIC.TRACES - WHERE - "from_address" IS NOT NULL - AND "status" = 1 - AND ("call_type" NOT IN ('delegatecall', 'callcode', 'staticcall') OR "call_type" IS NULL) - AND TO_DATE(TO_TIMESTAMP("block_timestamp" / 1000000)) = '2016-10-14' - - UNION ALL - - -- Transaction Fees Debits - SELECT - "miner" AS "address", + FROM CRYPTO.CRYPTO_ETHEREUM_CLASSIC.TRACES + WHERE "to_address" IS NOT NULL + AND "status" = 1 + AND ("call_type" NOT IN ('delegatecall', + 'callcode', + 'staticcall') + OR "call_type" IS NULL) + AND TO_DATE(TO_TIMESTAMP("block_timestamp" / 1000000)) = '2016-10-14' + UNION ALL -- Credits + SELECT "from_address" AS "address", - "value" AS "value" + FROM CRYPTO.CRYPTO_ETHEREUM_CLASSIC.TRACES + WHERE "from_address" IS NOT NULL + AND "status" = 1 + AND ("call_type" NOT IN ('delegatecall', + 'callcode', + 'staticcall') + OR "call_type" IS NULL) + AND TO_DATE(TO_TIMESTAMP("block_timestamp" / 1000000)) = '2016-10-14' + UNION ALL -- Transaction Fees Debits + SELECT "miner" AS "address", SUM(CAST("receipt_gas_used" AS NUMERIC) * CAST("gas_price" AS NUMERIC)) AS "value" - FROM - CRYPTO.CRYPTO_ETHEREUM_CLASSIC.TRANSACTIONS AS "transactions" - JOIN - CRYPTO.CRYPTO_ETHEREUM_CLASSIC.BLOCKS AS "blocks" - ON "blocks"."number" = "transactions"."block_number" - WHERE - TO_DATE(TO_TIMESTAMP("block_timestamp" / 1000000)) = '2016-10-14' - GROUP BY - "blocks"."miner" - - UNION ALL - - -- Transaction Fees Credits - SELECT - "from_address" AS "address", - -(CAST("receipt_gas_used" AS NUMERIC) * CAST("gas_price" AS NUMERIC)) AS "value" - FROM - CRYPTO.CRYPTO_ETHEREUM_CLASSIC.TRANSACTIONS - WHERE - TO_DATE(TO_TIMESTAMP("block_timestamp" / 1000000)) = '2016-10-14' -), -net_changes AS ( - SELECT - "address", - SUM("value") AS "net_change" - FROM - double_entry_book - GROUP BY - "address" -) -SELECT - MAX("net_change") AS "max_net_change", - MIN("net_change") AS "min_net_change" -FROM - net_changes; + FROM CRYPTO.CRYPTO_ETHEREUM_CLASSIC.TRANSACTIONS AS "transactions" + JOIN CRYPTO.CRYPTO_ETHEREUM_CLASSIC.BLOCKS AS "blocks" ON "blocks"."number" = "transactions"."block_number" + WHERE TO_DATE(TO_TIMESTAMP("block_timestamp" / 1000000)) = '2016-10-14' + GROUP BY "blocks"."miner" + UNION ALL -- Transaction Fees Credits + SELECT "from_address" AS "address", -(CAST("receipt_gas_used" AS NUMERIC) * CAST("gas_price" AS NUMERIC)) AS "value" + FROM CRYPTO.CRYPTO_ETHEREUM_CLASSIC.TRANSACTIONS + WHERE TO_DATE(TO_TIMESTAMP("block_timestamp" / 1000000)) = '2016-10-14'), + net_changes AS + (SELECT "address", + SUM("value") AS "net_change" + FROM double_entry_book + GROUP BY "address") +SELECT MAX("net_change") AS "max_net_change", + MIN("net_change") AS "min_net_change" +FROM net_changes; diff --git a/spider2/queries/lite_sf_bq099.sql b/spider2/queries/lite_sf_bq099.sql index eeec8243004c4f1daaf06e692977205fe55a686f..e5c5a90f655ce86aa9e1050425b3057b88bfbf14 100644 --- a/spider2/queries/lite_sf_bq099.sql +++ b/spider2/queries/lite_sf_bq099.sql @@ -1,73 +1,52 @@ -WITH PatentApplications AS ( - SELECT - "assignee_harmonized" AS assignee_harmonized, - "filing_date" AS filing_date, - "country_code" AS country_code, - "application_number" AS application_number - FROM - PATENTS.PATENTS.PUBLICATIONS AS pubs, - LATERAL FLATTEN(input => pubs."cpc") AS c - WHERE c.value:"code" LIKE 'A01B3%' - -), - -AssigneeApplications AS ( - SELECT - COUNT(*) AS year_country_cnt, - a.value:"name" AS assignee_name, - CAST(FLOOR(filing_date / 10000) AS INT) AS filing_year, - apps.country_code as country_code - FROM - PatentApplications as apps, - LATERAL FLATTEN(input => assignee_harmonized) AS a - GROUP BY - assignee_name, filing_year, country_code -), - -RankedApplications AS ( - SELECT - assignee_name, - filing_year, - country_code, - year_country_cnt, - SUM(year_country_cnt) OVER (PARTITION BY assignee_name, filing_year) AS total_cnt, - ROW_NUMBER() OVER (PARTITION BY assignee_name, filing_year ORDER BY year_country_cnt DESC) AS rn - FROM - AssigneeApplications -), - -AggregatedData AS ( - SELECT - total_cnt AS year_cnt, - assignee_name, - filing_year, - country_code - FROM - RankedApplications - WHERE - rn = 1 -) - - -SELECT - total_count, - REPLACE(assignee_name, '"', '') AS assignee_name, - year_cnt, - filing_year, - country_code -FROM ( - SELECT - year_cnt, - assignee_name, - filing_year, - country_code, - SUM(year_cnt) OVER (PARTITION BY assignee_name) AS total_count, - ROW_NUMBER() OVER (PARTITION BY assignee_name ORDER BY year_cnt DESC) AS rn - FROM - AggregatedData - ORDER BY assignee_name -) sub +WITH PatentApplications AS + (SELECT "assignee_harmonized" AS assignee_harmonized, + "filing_date" AS filing_date, + "country_code" AS country_code, + "application_number" AS application_number + FROM PATENTS.PATENTS.PUBLICATIONS AS pubs, + LATERAL FLATTEN(INPUT => pubs."cpc") AS c + WHERE c.value:"code" LIKE 'A01B3%'), + AssigneeApplications AS + (SELECT COUNT(*) AS year_country_cnt, + a.value:"name" AS assignee_name, + CAST(FLOOR(filing_date / 10000) AS INT) AS filing_year, + apps.country_code AS country_code + FROM PatentApplications AS apps, + LATERAL FLATTEN(INPUT => assignee_harmonized) AS a + GROUP BY assignee_name, + filing_year, + country_code), + RankedApplications AS + (SELECT assignee_name, + filing_year, + country_code, + year_country_cnt, + SUM(year_country_cnt) OVER (PARTITION BY assignee_name, filing_year) AS total_cnt, + ROW_NUMBER() OVER (PARTITION BY assignee_name, filing_year + ORDER BY year_country_cnt DESC) AS rn + FROM AssigneeApplications), + AggregatedData AS + (SELECT total_cnt AS year_cnt, + assignee_name, + filing_year, + country_code + FROM RankedApplications + WHERE rn = 1) +SELECT total_count, + REPLACE(assignee_name, '"', '') AS assignee_name, + year_cnt, + filing_year, + country_code +FROM + (SELECT year_cnt, + assignee_name, + filing_year, + country_code, + SUM(year_cnt) OVER (PARTITION BY assignee_name) AS total_count, + ROW_NUMBER() OVER (PARTITION BY assignee_name + ORDER BY year_cnt DESC) AS rn + FROM AggregatedData + ORDER BY assignee_name) sub WHERE rn = 1 -ORDER BY total_count -DESC +ORDER BY total_count DESC LIMIT 3 diff --git a/spider2/queries/lite_sf_bq104.sql b/spider2/queries/lite_sf_bq104.sql index 69d85486cbf1299b00a6c5f5d492615049319c72..277de29d4155a2d5d133c8dc95374ce559b6945f 100644 --- a/spider2/queries/lite_sf_bq104.sql +++ b/spider2/queries/lite_sf_bq104.sql @@ -1,39 +1,29 @@ -WITH LatestWeek AS ( - SELECT - DATEADD(WEEK, -52, MAX("week")) AS "last_year_week" - FROM - GOOGLE_TRENDS.GOOGLE_TRENDS.TOP_RISING_TERMS -), -LatestRefreshDate AS ( - SELECT - MAX("refresh_date") AS "latest_refresh_date" - FROM - GOOGLE_TRENDS.GOOGLE_TRENDS.TOP_RISING_TERMS -), -RankedTerms AS ( - SELECT - "term", - "week", - CASE WHEN "score" IS NULL THEN NULL ELSE "dma_name" END AS "dma_name", - "rank", - "score", - ROW_NUMBER() OVER ( - PARTITION BY "term", "week" - ORDER BY "score" DESC - ) AS rn - FROM - GOOGLE_TRENDS.GOOGLE_TRENDS.TOP_RISING_TERMS - WHERE - "week" = (SELECT "last_year_week" FROM LatestWeek) - AND "refresh_date" = (SELECT "latest_refresh_date" FROM LatestRefreshDate) -) - -SELECT - "term" -FROM - RankedTerms -WHERE - rn = 1 -ORDER BY - "rank" +WITH LatestWeek AS + (SELECT DATEADD(WEEK, -52, MAX("week")) AS "last_year_week" + FROM GOOGLE_TRENDS.GOOGLE_TRENDS.TOP_RISING_TERMS), + LatestRefreshDate AS + (SELECT MAX("refresh_date") AS "latest_refresh_date" + FROM GOOGLE_TRENDS.GOOGLE_TRENDS.TOP_RISING_TERMS), + RankedTerms AS + (SELECT "term", + "week", + CASE + WHEN "score" IS NULL THEN NULL + ELSE "dma_name" + END AS "dma_name", + "rank", + "score", + ROW_NUMBER() OVER (PARTITION BY "term", "week" + ORDER BY "score" DESC) AS rn + FROM GOOGLE_TRENDS.GOOGLE_TRENDS.TOP_RISING_TERMS + WHERE "week" = + (SELECT "last_year_week" + FROM LatestWeek) + AND "refresh_date" = + (SELECT "latest_refresh_date" + FROM LatestRefreshDate)) +SELECT "term" +FROM RankedTerms +WHERE rn = 1 +ORDER BY "rank" LIMIT 1; diff --git a/spider2/queries/lite_sf_bq121.sql b/spider2/queries/lite_sf_bq121.sql index 7d424874a3478bf2478d31cb7707501742e341dd..4c48f098ffa027b5ff58fbb1f6e40681790cb410 100644 --- a/spider2/queries/lite_sf_bq121.sql +++ b/spider2/queries/lite_sf_bq121.sql @@ -1,21 +1,19 @@ -WITH sub AS ( - SELECT - "users"."id", - CAST(TO_TIMESTAMP(MAX("users"."creation_date") / 1000000.0) AS DATE) AS "user_creation_date", -- 使用 MAX 聚合 creation_date 并转换为 DATE - MAX("users"."reputation") AS "reputation", - SUM(CASE WHEN badges."user_id" IS NULL THEN 0 ELSE 1 END) AS "num_badges" - FROM "STACKOVERFLOW"."STACKOVERFLOW"."USERS" "users" - LEFT JOIN "STACKOVERFLOW"."STACKOVERFLOW"."BADGES" badges - ON "users"."id" = badges."user_id" - WHERE CAST(TO_TIMESTAMP("users"."creation_date" / 1000000.0) AS DATE) <= DATE '2021-10-01' - GROUP BY "users"."id" -) - -SELECT - DATEDIFF(YEAR, "user_creation_date", DATE '2021-10-01') AS "user_tenure", - COUNT(1) AS "Num_Users", - AVG("reputation") AS "Avg_Reputation", - AVG("num_badges") AS "Avg_Num_Badges" +WITH sub AS + (SELECT "users"."id", + CAST(TO_TIMESTAMP(MAX("users"."creation_date") / 1000000.0) AS DATE) AS "user_creation_date", -- 使用 MAX 聚合 creation_date 并转换为 DATE + MAX("users"."reputation") AS "reputation", + SUM(CASE + WHEN badges."user_id" IS NULL THEN 0 + ELSE 1 + END) AS "num_badges" + FROM "STACKOVERFLOW"."STACKOVERFLOW"."USERS" "users" + LEFT JOIN "STACKOVERFLOW"."STACKOVERFLOW"."BADGES" badges ON "users"."id" = badges."user_id" + WHERE CAST(TO_TIMESTAMP("users"."creation_date" / 1000000.0) AS DATE) <= DATE '2021-10-01' + GROUP BY "users"."id") +SELECT DATEDIFF(YEAR, "user_creation_date", DATE '2021-10-01') AS "user_tenure", + COUNT(1) AS "Num_Users", + AVG("reputation") AS "Avg_Reputation", + AVG("num_badges") AS "Avg_Num_Badges" FROM sub GROUP BY "user_tenure" ORDER BY "user_tenure"; diff --git a/spider2/queries/lite_sf_bq127.sql b/spider2/queries/lite_sf_bq127.sql index 1feb90b3936888c03ab83cd1dfee3ec60dce3339..ef971d83a75af79c760d38ffcf79fe4e7de1cfab 100644 --- a/spider2/queries/lite_sf_bq127.sql +++ b/spider2/queries/lite_sf_bq127.sql @@ -1,102 +1,63 @@ -WITH fam AS ( - SELECT DISTINCT - "family_id" - FROM - "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" -), - -crossover AS ( - SELECT - "publication_number", - "family_id" - FROM - "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" -), - -pub AS ( - SELECT - "family_id", - MIN("publication_date") AS "publication_date", - LISTAGG("publication_number", ',') WITHIN GROUP (ORDER BY "publication_number") AS "publication_number", - LISTAGG("country_code", ',') WITHIN GROUP (ORDER BY "country_code") AS "country_code" - FROM - "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS p - GROUP BY - "family_id" -), - -tech_class AS ( - SELECT - p."family_id", - LISTAGG(DISTINCT cpc.value:"code"::STRING, ',') WITHIN GROUP (ORDER BY cpc.value:"code"::STRING) AS "cpc", - LISTAGG(DISTINCT ipc.value:"code"::STRING, ',') WITHIN GROUP (ORDER BY ipc.value:"code"::STRING) AS "ipc" - FROM - "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS p - CROSS JOIN LATERAL FLATTEN(input => p."cpc") AS cpc - CROSS JOIN LATERAL FLATTEN(input => p."ipc") AS ipc - GROUP BY - p."family_id" -), - -cit AS ( - SELECT - p."family_id", - LISTAGG(crossover."family_id", ',') WITHIN GROUP (ORDER BY crossover."family_id" ASC) AS "citation" - FROM - "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS p - CROSS JOIN LATERAL FLATTEN(input => p."citation") AS citation - LEFT JOIN - crossover - ON - citation.value:"publication_number"::STRING = crossover."publication_number" - GROUP BY - p."family_id" -), - -tmp_gpr AS ( - SELECT - "family_id", - LISTAGG(crossover."publication_number", ',') AS "cited_by_publication_number" - FROM - "PATENTS_GOOGLE"."PATENTS_GOOGLE"."ABS_AND_EMB" AS p - CROSS JOIN LATERAL FLATTEN(input => p."cited_by") AS cited_by - LEFT JOIN - crossover - ON - cited_by.value:"publication_number"::STRING = crossover."publication_number" - GROUP BY - "family_id" -), - -gpr AS ( - SELECT - tmp_gpr."family_id", - LISTAGG(crossover."family_id", ',') WITHIN GROUP (ORDER BY crossover."family_id" ASC) AS "cited_by" - FROM - tmp_gpr - CROSS JOIN LATERAL FLATTEN(input => SPLIT(tmp_gpr."cited_by_publication_number", ',')) AS cited_by_publication_number - LEFT JOIN - crossover - ON - cited_by_publication_number.value::STRING = crossover."publication_number" - GROUP BY - tmp_gpr."family_id" -) - -SELECT - fam."family_id", - pub."publication_date", - pub."publication_number", - pub."country_code", - tech_class."cpc", - tech_class."ipc", - cit."citation", - gpr."cited_by" -FROM - fam - LEFT JOIN pub ON fam."family_id" = pub."family_id" - LEFT JOIN tech_class ON fam."family_id" = tech_class."family_id" - LEFT JOIN cit ON fam."family_id" = cit."family_id" - LEFT JOIN gpr ON fam."family_id" = gpr."family_id" -WHERE - pub."publication_date" BETWEEN 20150101 AND 20150131; +WITH fam AS + (SELECT DISTINCT "family_id" + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS"), + crossover AS + (SELECT "publication_number", + "family_id" + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS"), + pub AS + (SELECT "family_id", + MIN("publication_date") AS "publication_date", + LISTAGG("publication_number", ',') WITHIN GROUP ( + ORDER BY "publication_number") AS "publication_number", + LISTAGG("country_code", ',') WITHIN GROUP ( + ORDER BY "country_code") AS "country_code" + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS p + GROUP BY "family_id"), + tech_class AS + (SELECT p."family_id", + LISTAGG(DISTINCT cpc.value:"code"::STRING, ',') WITHIN GROUP ( + ORDER BY cpc.value:"code"::STRING) AS "cpc", + LISTAGG(DISTINCT ipc.value:"code"::STRING, ',') WITHIN GROUP ( + ORDER BY ipc.value:"code"::STRING) AS "ipc" + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS p + CROSS JOIN LATERAL FLATTEN(INPUT => p."cpc") AS cpc + CROSS JOIN LATERAL FLATTEN(INPUT => p."ipc") AS ipc + GROUP BY p."family_id"), + cit AS + (SELECT p."family_id", + LISTAGG(crossover."family_id", ',') WITHIN GROUP ( + ORDER BY crossover."family_id" ASC) AS "citation" + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS p + CROSS JOIN LATERAL FLATTEN(INPUT => p."citation") AS citation + LEFT JOIN crossover ON citation.value:"publication_number"::STRING = crossover."publication_number" + GROUP BY p."family_id"), + tmp_gpr AS + (SELECT "family_id", + LISTAGG(crossover."publication_number", ',') AS "cited_by_publication_number" + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."ABS_AND_EMB" AS p + CROSS JOIN LATERAL FLATTEN(INPUT => p."cited_by") AS cited_by + LEFT JOIN crossover ON cited_by.value:"publication_number"::STRING = crossover."publication_number" + GROUP BY "family_id"), + gpr AS + (SELECT tmp_gpr."family_id", + LISTAGG(crossover."family_id", ',') WITHIN GROUP ( + ORDER BY crossover."family_id" ASC) AS "cited_by" + FROM tmp_gpr + CROSS JOIN LATERAL FLATTEN(INPUT => SPLIT(tmp_gpr."cited_by_publication_number", ',')) AS cited_by_publication_number + LEFT JOIN crossover ON cited_by_publication_number.value::STRING = crossover."publication_number" + GROUP BY tmp_gpr."family_id") +SELECT fam."family_id", + pub."publication_date", + pub."publication_number", + pub."country_code", + tech_class."cpc", + tech_class."ipc", + cit."citation", + gpr."cited_by" +FROM fam +LEFT JOIN pub ON fam."family_id" = pub."family_id" +LEFT JOIN tech_class ON fam."family_id" = tech_class."family_id" +LEFT JOIN cit ON fam."family_id" = cit."family_id" +LEFT JOIN gpr ON fam."family_id" = gpr."family_id" +WHERE pub."publication_date" BETWEEN 20150101 AND 20150131; diff --git a/spider2/queries/lite_sf_bq128.sql b/spider2/queries/lite_sf_bq128.sql index 27d9eb61522379058991f4d16984df3b23ba76c3..c61a6171752cf78048df9c2334febf5db537fbc1 100644 --- a/spider2/queries/lite_sf_bq128.sql +++ b/spider2/queries/lite_sf_bq128.sql @@ -1,68 +1,60 @@ -SELECT - patent."title", - patent."abstract", - app."date" AS publication_date, - filterData."bkwdCitations", - filterData."fwrdCitations_5" -FROM - "PATENTSVIEW"."PATENTSVIEW"."PATENT" AS patent +SELECT patent."title", + patent."abstract", + app."date" AS publication_date, + filterData."bkwdCitations", + filterData."fwrdCitations_5" +FROM "PATENTSVIEW"."PATENTSVIEW"."PATENT" AS patent +JOIN "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" AS app ON app."patent_id" = patent."id" JOIN - "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" AS app - ON app."patent_id" = patent."id" -JOIN ( - SELECT - DISTINCT cpc."patent_id", - IFNULL(citation_5."bkwdCitations", 0) AS "bkwdCitations", - IFNULL(citation_5."fwrdCitations_5", 0) AS "fwrdCitations_5" - FROM - "PATENTSVIEW"."PATENTSVIEW"."CPC_CURRENT" AS cpc - LEFT JOIN ( - SELECT - b."patent_id", - b."bkwdCitations", - f."fwrdCitations_5" - FROM ( - SELECT - cited."citation_id" AS "patent_id", + (SELECT DISTINCT cpc."patent_id", + IFNULL(citation_5."bkwdCitations", 0) AS "bkwdCitations", + IFNULL(citation_5."fwrdCitations_5", 0) AS "fwrdCitations_5" + FROM "PATENTSVIEW"."PATENTSVIEW"."CPC_CURRENT" AS cpc + LEFT JOIN + (SELECT b."patent_id", + b."bkwdCitations", + f."fwrdCitations_5" + FROM + (SELECT cited."citation_id" AS "patent_id", IFNULL(COUNT(*), 0) AS "fwrdCitations_5" - FROM - "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" AS cited - JOIN - "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" AS apps - ON cited."citation_id" = apps."patent_id" - WHERE - apps."country" = 'US' - AND cited."date" >= apps."date" - AND TRY_CAST(cited."date" AS DATE) <= DATEADD(YEAR, 5, TRY_CAST(apps."date" AS DATE)) -- 5-year citation window - GROUP BY - cited."citation_id" - ) AS f - JOIN ( - SELECT - cited."patent_id", + FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" AS cited + JOIN "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" AS apps ON cited."citation_id" = apps."patent_id" + WHERE apps."country" = 'US' + AND cited."date" >= apps."date" + AND TRY_CAST(cited."date" AS DATE) <= DATEADD(YEAR, 5, TRY_CAST(apps."date" AS DATE)) -- 5-year citation window + + GROUP BY cited."citation_id") AS f + JOIN + (SELECT cited."patent_id", IFNULL(COUNT(*), 0) AS "bkwdCitations" - FROM - "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" AS cited - JOIN - "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" AS apps - ON cited."patent_id" = apps."patent_id" - WHERE - apps."country" = 'US' - AND cited."date" < apps."date" -- backward citation count - GROUP BY - cited."patent_id" - ) AS b - ON b."patent_id" = f."patent_id" - WHERE - b."bkwdCitations" IS NOT NULL - AND f."fwrdCitations_5" IS NOT NULL - ) AS citation_5 - ON cpc."patent_id" = citation_5."patent_id" - WHERE - cpc."subsection_id" IN ('C05', 'C06', 'C07', 'C08', 'C09', 'C10', 'C11', 'C12', 'C13') - OR cpc."group_id" IN ('A01G', 'A01H', 'A61K', 'A61P', 'A61Q', 'B01F', 'B01J', 'B81B', 'B82B', 'B82Y', 'G01N', 'G16H') -) AS filterData -ON app."patent_id" = filterData."patent_id" -WHERE - TRY_CAST(app."date" AS DATE) < '2014-02-01' - AND TRY_CAST(app."date" AS DATE) >= '2014-01-01'; + FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" AS cited + JOIN "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" AS apps ON cited."patent_id" = apps."patent_id" + WHERE apps."country" = 'US' + AND cited."date" < apps."date" -- backward citation count + + GROUP BY cited."patent_id") AS b ON b."patent_id" = f."patent_id" + WHERE b."bkwdCitations" IS NOT NULL + AND f."fwrdCitations_5" IS NOT NULL) AS citation_5 ON cpc."patent_id" = citation_5."patent_id" + WHERE cpc."subsection_id" IN ('C05', + 'C06', + 'C07', + 'C08', + 'C09', + 'C10', + 'C11', + 'C12', + 'C13') + OR cpc."group_id" IN ('A01G', + 'A01H', + 'A61K', + 'A61P', + 'A61Q', + 'B01F', + 'B01J', + 'B81B', + 'B82B', + 'B82Y', + 'G01N', + 'G16H')) AS filterData ON app."patent_id" = filterData."patent_id" +WHERE TRY_CAST(app."date" AS DATE) < '2014-02-01' + AND TRY_CAST(app."date" AS DATE) >= '2014-01-01'; diff --git a/spider2/queries/lite_sf_bq150.sql b/spider2/queries/lite_sf_bq150.sql index 07e713df8979a0b8b8e02cd35dc3faa8c864d9e4..ff61b8148a7fcddd067b44cd1eebbac3d2f495d5 100644 --- a/spider2/queries/lite_sf_bq150.sql +++ b/spider2/queries/lite_sf_bq150.sql @@ -1,100 +1,59 @@ -WITH -cohortExpr AS ( - SELECT - "sample_barcode", - LOG(10, "normalized_count") AS "expr" - FROM - "TCGA_HG19_DATA_V0"."TCGA_HG19_DATA_V0"."RNASEQ_GENE_EXPRESSION_UNC_RSEM" - WHERE - "project_short_name" = 'TCGA-BRCA' - AND "HGNC_gene_symbol" = 'TP53' - AND "normalized_count" IS NOT NULL - AND "normalized_count" > 0 -), -cohortVar AS ( - SELECT - "Variant_Type", - "sample_barcode_tumor" AS "sample_barcode" - FROM - "TCGA_HG19_DATA_V0"."TCGA_HG19_DATA_V0"."SOMATIC_MUTATION_MC3" - WHERE - "SYMBOL" = 'TP53' -), -cohort AS ( - SELECT - e."sample_barcode" AS "sample_barcode", - v."Variant_Type" AS "group_name", - e."expr" - FROM - cohortExpr e - JOIN - cohortVar v - ON - e."sample_barcode" = v."sample_barcode" -), -grandMeanTable AS ( - SELECT - AVG("expr") AS "grand_mean" - FROM - cohort -), -groupMeansTable AS ( - SELECT - AVG("expr") AS "group_mean", - "group_name", - COUNT("sample_barcode") AS "n" - FROM - cohort - GROUP BY - "group_name" -), -ssBetween AS ( - SELECT - g."group_name", - g."group_mean", - gm."grand_mean", - g."n", - g."n" * POW(g."group_mean" - gm."grand_mean", 2) AS "n_diff_sq" - FROM - groupMeansTable g - CROSS JOIN - grandMeanTable gm -), -ssWithin AS ( - SELECT - c."group_name" AS "group_name", - c."expr", - b."group_mean", - b."n" AS "n", - POW(c."expr" - b."group_mean", 2) AS "s2" - FROM - cohort c - JOIN - ssBetween b - ON - c."group_name" = b."group_name" -), -numerator AS ( - SELECT - SUM("n_diff_sq") / (COUNT("group_name") - 1) AS "mean_sq_between" - FROM - ssBetween -), -denominator AS ( - SELECT - COUNT(DISTINCT "group_name") AS "k", - COUNT("group_name") AS "n", - SUM("s2") / (COUNT("group_name") - COUNT(DISTINCT "group_name")) AS "mean_sq_within" - FROM - ssWithin -) - -SELECT - "n", - "k", - "mean_sq_between", - "mean_sq_within", - "mean_sq_between" / "mean_sq_within" AS "F" -FROM - numerator, - denominator; +WITH cohortExpr AS + (SELECT "sample_barcode", + LOG(10, "normalized_count") AS "expr" + FROM "TCGA_HG19_DATA_V0"."TCGA_HG19_DATA_V0"."RNASEQ_GENE_EXPRESSION_UNC_RSEM" + WHERE "project_short_name" = 'TCGA-BRCA' + AND "HGNC_gene_symbol" = 'TP53' + AND "normalized_count" IS NOT NULL + AND "normalized_count" > 0), + cohortVar AS + (SELECT "Variant_Type", + "sample_barcode_tumor" AS "sample_barcode" + FROM "TCGA_HG19_DATA_V0"."TCGA_HG19_DATA_V0"."SOMATIC_MUTATION_MC3" + WHERE "SYMBOL" = 'TP53'), + cohort AS + (SELECT e."sample_barcode" AS "sample_barcode", + v."Variant_Type" AS "group_name", + e."expr" + FROM cohortExpr e + JOIN cohortVar v ON e."sample_barcode" = v."sample_barcode"), + grandMeanTable AS + (SELECT AVG("expr") AS "grand_mean" + FROM cohort), + groupMeansTable AS + (SELECT AVG("expr") AS "group_mean", + "group_name", + COUNT("sample_barcode") AS "n" + FROM cohort + GROUP BY "group_name"), + ssBetween AS + (SELECT g."group_name", + g."group_mean", + gm."grand_mean", + g."n", + g."n" * POW(g."group_mean" - gm."grand_mean", 2) AS "n_diff_sq" + FROM groupMeansTable g + CROSS JOIN grandMeanTable gm), + ssWithin AS + (SELECT c."group_name" AS "group_name", + c."expr", + b."group_mean", + b."n" AS "n", + POW(c."expr" - b."group_mean", 2) AS "s2" + FROM cohort c + JOIN ssBetween b ON c."group_name" = b."group_name"), + numerator AS + (SELECT SUM("n_diff_sq") / (COUNT("group_name") - 1) AS "mean_sq_between" + FROM ssBetween), + denominator AS + (SELECT COUNT(DISTINCT "group_name") AS "k", + COUNT("group_name") AS "n", + SUM("s2") / (COUNT("group_name") - COUNT(DISTINCT "group_name")) AS "mean_sq_within" + FROM ssWithin) +SELECT "n", + "k", + "mean_sq_between", + "mean_sq_within", + "mean_sq_between" / "mean_sq_within" AS "F" +FROM numerator, + denominator; diff --git a/spider2/queries/lite_sf_bq153.sql b/spider2/queries/lite_sf_bq153.sql index a10c407c9f2ba407474fb5cdd74bd250c6247593..d3e80ec7c1df62865ad0064c3a27ac2f026faef4 100644 --- a/spider2/queries/lite_sf_bq153.sql +++ b/spider2/queries/lite_sf_bq153.sql @@ -1,53 +1,32 @@ -WITH - table1 AS ( - SELECT - "Symbol" AS "symbol", - AVG(LOG(10, "normalized_count" + 1)) AS "data", - "ParticipantBarcode" - FROM - PANCANCER_ATLAS_1.PANCANCER_ATLAS_FILTERED.EBPP_ADJUSTPANCAN_ILLUMINAHISEQ_RNASEQV2_GENEXP_FILTERED - WHERE - "Study" = 'LGG' - AND "Symbol" = 'IGF2' - AND "normalized_count" IS NOT NULL - GROUP BY - "ParticipantBarcode", "symbol" - ), - table2 AS ( - SELECT - "symbol", - "avgdata" AS "data", - "ParticipantBarcode" - FROM ( - SELECT - 'icd_o_3_histology' AS "symbol", - "icd_o_3_histology" AS "avgdata", - "bcr_patient_barcode" AS "ParticipantBarcode" - FROM - PANCANCER_ATLAS_1.PANCANCER_ATLAS_FILTERED.CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED - WHERE - "acronym" = 'LGG' - AND "icd_o_3_histology" IS NOT NULL - AND NOT REGEXP_LIKE("icd_o_3_histology", '^(\\[.*\\]$)') - ) - ), - table_data AS ( - SELECT - n1."data" AS "data1", - n2."data" AS "data2", - n1."ParticipantBarcode" - FROM - table1 AS n1 - INNER JOIN - table2 AS n2 - ON - n1."ParticipantBarcode" = n2."ParticipantBarcode" - ) - -SELECT - "data2" AS "Histology_Type", - AVG("data1") AS "Average_Log_Expression" -FROM - table_data -GROUP BY - "data2"; +WITH table1 AS + (SELECT "Symbol" AS "symbol", + AVG(LOG(10, "normalized_count" + 1)) AS "data", + "ParticipantBarcode" + FROM PANCANCER_ATLAS_1.PANCANCER_ATLAS_FILTERED.EBPP_ADJUSTPANCAN_ILLUMINAHISEQ_RNASEQV2_GENEXP_FILTERED + WHERE "Study" = 'LGG' + AND "Symbol" = 'IGF2' + AND "normalized_count" IS NOT NULL + GROUP BY "ParticipantBarcode", + "symbol"), + table2 AS + (SELECT "symbol", + "avgdata" AS "data", + "ParticipantBarcode" + FROM + (SELECT 'icd_o_3_histology' AS "symbol", + "icd_o_3_histology" AS "avgdata", + "bcr_patient_barcode" AS "ParticipantBarcode" + FROM PANCANCER_ATLAS_1.PANCANCER_ATLAS_FILTERED.CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED + WHERE "acronym" = 'LGG' + AND "icd_o_3_histology" IS NOT NULL + AND NOT REGEXP_LIKE("icd_o_3_histology", '^(\\[.*\\]$)'))), + table_data AS + (SELECT n1."data" AS "data1", + n2."data" AS "data2", + n1."ParticipantBarcode" + FROM table1 AS n1 + INNER JOIN table2 AS n2 ON n1."ParticipantBarcode" = n2."ParticipantBarcode") +SELECT "data2" AS "Histology_Type", + AVG("data1") AS "Average_Log_Expression" +FROM table_data +GROUP BY "data2"; diff --git a/spider2/queries/lite_sf_bq155.sql b/spider2/queries/lite_sf_bq155.sql index 3f854b09fde90f768fc703fd610e9aaaba4bf391..71683d78aab371c5e9f287907f325b19465c0aa7 100644 --- a/spider2/queries/lite_sf_bq155.sql +++ b/spider2/queries/lite_sf_bq155.sql @@ -1,69 +1,56 @@ -WITH cohort AS ( - SELECT "case_barcode" - FROM "TCGA_HG38_DATA_V0"."TCGA_BIOCLIN_V0"."CLINICAL" - WHERE "project_short_name" = 'TCGA-BRCA' - AND "age_at_diagnosis" <= 80 - AND "pathologic_stage" IN ('Stage I', 'Stage II', 'Stage IIA') -), -table1 AS ( - SELECT - "symbol", - "data" AS "rnkdata", - "ParticipantBarcode" - FROM ( - SELECT - "gene_name" AS "symbol", - AVG(LOG(10, "HTSeq__Counts" + 1)) AS "data", - "case_barcode" AS "ParticipantBarcode" - FROM "TCGA_HG38_DATA_V0"."TCGA_HG38_DATA_V0"."RNASEQ_GENE_EXPRESSION" - WHERE "case_barcode" IN (SELECT "case_barcode" FROM cohort) - AND "gene_name" = 'SNORA31' - AND "HTSeq__Counts" IS NOT NULL - GROUP BY - "ParticipantBarcode", "symbol" - ) -), -table2 AS ( - SELECT - "symbol", - "data" AS "rnkdata", - "ParticipantBarcode" - FROM ( - SELECT - "mirna_id" AS "symbol", - AVG("reads_per_million_miRNA_mapped") AS "data", - "case_barcode" AS "ParticipantBarcode" - FROM "TCGA_HG38_DATA_V0"."TCGA_HG38_DATA_V0"."MIRNASEQ_EXPRESSION" - WHERE "case_barcode" IN (SELECT "case_barcode" FROM cohort) - AND "mirna_id" IS NOT NULL - AND "reads_per_million_miRNA_mapped" IS NOT NULL - GROUP BY - "ParticipantBarcode", "symbol" - ) -), -summ_table AS ( - SELECT - n1."symbol" AS "symbol1", - n2."symbol" AS "symbol2", - COUNT(n1."ParticipantBarcode") AS "n", - CORR(n1."rnkdata", n2."rnkdata") AS "correlation" - FROM - table1 AS n1 - INNER JOIN - table2 AS n2 - ON - n1."ParticipantBarcode" = n2."ParticipantBarcode" - GROUP BY - "symbol1", "symbol2" -) - -SELECT - "symbol1", - "symbol2", - ABS("correlation") * SQRT(( "n" - 2 ) / (1 - "correlation" * "correlation")) AS "t" -FROM - summ_table -WHERE - "n" > 25 - AND ABS("correlation") >= 0.3 - AND ABS("correlation") < 1.0; +WITH cohort AS + (SELECT "case_barcode" + FROM "TCGA_HG38_DATA_V0"."TCGA_BIOCLIN_V0"."CLINICAL" + WHERE "project_short_name" = 'TCGA-BRCA' + AND "age_at_diagnosis" <= 80 + AND "pathologic_stage" IN ('Stage I', + 'Stage II', + 'Stage IIA')), + table1 AS + (SELECT "symbol", + "data" AS "rnkdata", + "ParticipantBarcode" + FROM + (SELECT "gene_name" AS "symbol", + AVG(LOG(10, "HTSeq__Counts" + 1)) AS "data", + "case_barcode" AS "ParticipantBarcode" + FROM "TCGA_HG38_DATA_V0"."TCGA_HG38_DATA_V0"."RNASEQ_GENE_EXPRESSION" + WHERE "case_barcode" IN + (SELECT "case_barcode" + FROM cohort) + AND "gene_name" = 'SNORA31' + AND "HTSeq__Counts" IS NOT NULL + GROUP BY "ParticipantBarcode", + "symbol")), + table2 AS + (SELECT "symbol", + "data" AS "rnkdata", + "ParticipantBarcode" + FROM + (SELECT "mirna_id" AS "symbol", + AVG("reads_per_million_miRNA_mapped") AS "data", + "case_barcode" AS "ParticipantBarcode" + FROM "TCGA_HG38_DATA_V0"."TCGA_HG38_DATA_V0"."MIRNASEQ_EXPRESSION" + WHERE "case_barcode" IN + (SELECT "case_barcode" + FROM cohort) + AND "mirna_id" IS NOT NULL + AND "reads_per_million_miRNA_mapped" IS NOT NULL + GROUP BY "ParticipantBarcode", + "symbol")), + summ_table AS + (SELECT n1."symbol" AS "symbol1", + n2."symbol" AS "symbol2", + COUNT(n1."ParticipantBarcode") AS "n", + CORR(n1."rnkdata", n2."rnkdata") AS "correlation" + FROM table1 AS n1 + INNER JOIN table2 AS n2 ON n1."ParticipantBarcode" = n2."ParticipantBarcode" + GROUP BY "symbol1", + "symbol2") +SELECT "symbol1", + "symbol2", + ABS("correlation") * SQRT(("n" - 2) / (1 - "correlation" * "correlation")) AS "t" +FROM summ_table +WHERE "n" > 25 + AND ABS("correlation") >= 0.3 + AND ABS("correlation") < 1.0; diff --git a/spider2/queries/lite_sf_bq158.sql b/spider2/queries/lite_sf_bq158.sql index e57cf9ae4dfd5d3e75ce9b52a8a4e2faac01fc0c..549ff0d2785fb48dd3ce7bc01caa7972e882feb3 100644 --- a/spider2/queries/lite_sf_bq158.sql +++ b/spider2/queries/lite_sf_bq158.sql @@ -1,58 +1,43 @@ -WITH - table1 AS ( - SELECT - "histological_type" AS "data1", - "bcr_patient_barcode" AS "ParticipantBarcode" - FROM - "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" - WHERE - "acronym" = 'BRCA' - AND "histological_type" IS NOT NULL - ), - table2 AS ( - SELECT - "Hugo_Symbol" AS "symbol", - "ParticipantBarcode" - FROM - "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" - WHERE - "Study" = 'BRCA' - AND "Hugo_Symbol" = 'CDH1' - AND "FILTER" = 'PASS' - GROUP BY - "ParticipantBarcode", "symbol" - ), - summ_table AS ( - SELECT - n1."data1", - CASE - WHEN n2."ParticipantBarcode" IS NULL THEN 'NO' - ELSE 'YES' - END AS "data2", - COUNT(*) AS "Nij" - FROM - table1 AS n1 - LEFT JOIN - table2 AS n2 - ON n1."ParticipantBarcode" = n2."ParticipantBarcode" - GROUP BY - n1."data1", "data2" - ), - percentages AS ( - SELECT - "data1", - SUM(CASE WHEN "data2" = 'YES' THEN "Nij" ELSE 0 END) AS "mutation_count", - SUM("Nij") AS "total", - SUM(CASE WHEN "data2" = 'YES' THEN "Nij" ELSE 0 END) / SUM("Nij") AS "mutation_percentage" - FROM - summ_table - GROUP BY - "data1" - ) -SELECT - "data1" AS "Histological_Type" -FROM - percentages -ORDER BY - "mutation_percentage" DESC +WITH table1 AS + (SELECT "histological_type" AS "data1", + "bcr_patient_barcode" AS "ParticipantBarcode" + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" + WHERE "acronym" = 'BRCA' + AND "histological_type" IS NOT NULL), + table2 AS + (SELECT "Hugo_Symbol" AS "symbol", + "ParticipantBarcode" + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" + WHERE "Study" = 'BRCA' + AND "Hugo_Symbol" = 'CDH1' + AND "FILTER" = 'PASS' + GROUP BY "ParticipantBarcode", + "symbol"), + summ_table AS + (SELECT n1."data1", + CASE + WHEN n2."ParticipantBarcode" IS NULL THEN 'NO' + ELSE 'YES' + END AS "data2", + COUNT(*) AS "Nij" + FROM table1 AS n1 + LEFT JOIN table2 AS n2 ON n1."ParticipantBarcode" = n2."ParticipantBarcode" + GROUP BY n1."data1", + "data2"), + percentages AS + (SELECT "data1", + SUM(CASE + WHEN "data2" = 'YES' THEN "Nij" + ELSE 0 + END) AS "mutation_count", + SUM("Nij") AS "total", + SUM(CASE + WHEN "data2" = 'YES' THEN "Nij" + ELSE 0 + END) / SUM("Nij") AS "mutation_percentage" + FROM summ_table + GROUP BY "data1") +SELECT "data1" AS "Histological_Type" +FROM percentages +ORDER BY "mutation_percentage" DESC LIMIT 5; diff --git a/spider2/queries/lite_sf_bq159.sql b/spider2/queries/lite_sf_bq159.sql index c8ca51be74b3ccbfdd0345ca70cdad5938b58a1f..42baf0dd7707a18697e7ab12b3db5a8aa41e8609 100644 --- a/spider2/queries/lite_sf_bq159.sql +++ b/spider2/queries/lite_sf_bq159.sql @@ -1,98 +1,59 @@ -WITH - table1 AS ( - SELECT - "symbol", - "avgdata" AS "data", - "ParticipantBarcode" - FROM ( - SELECT - 'histological_type' AS "symbol", - "histological_type" AS "avgdata", - "bcr_patient_barcode" AS "ParticipantBarcode" - FROM - "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" - WHERE - "acronym" = 'BRCA' - AND "histological_type" IS NOT NULL - ) - ), - table2 AS ( - SELECT - "symbol", - "ParticipantBarcode" - FROM ( - SELECT - "Hugo_Symbol" AS "symbol", - "ParticipantBarcode" AS "ParticipantBarcode" - FROM - "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" - WHERE - "Study" = 'BRCA' - AND "Hugo_Symbol" = 'CDH1' - AND "FILTER" = 'PASS' - GROUP BY - "ParticipantBarcode", "symbol" - ) - ), - summ_table AS ( - SELECT - n1."data" AS "data1", - CASE - WHEN n2."ParticipantBarcode" IS NULL THEN 'NO' - ELSE 'YES' - END AS "data2", - COUNT(*) AS "Nij" - FROM - table1 AS n1 - LEFT JOIN - table2 AS n2 - ON n1."ParticipantBarcode" = n2."ParticipantBarcode" - GROUP BY - n1."data", "data2" - ), - expected_table AS ( - SELECT - "data1", - "data2" - FROM ( - SELECT - "data1", - SUM("Nij") AS "Ni" - FROM - summ_table - GROUP BY - "data1" - ) AS Ni_table - CROSS JOIN ( - SELECT - "data2", - SUM("Nij") AS "Nj" - FROM - summ_table - GROUP BY - "data2" - ) AS Nj_table - WHERE - Ni_table."Ni" > 10 - AND Nj_table."Nj" > 10 - ), - contingency_table AS ( - SELECT - T1."data1", - T1."data2", - COALESCE(T2."Nij", 0) AS "Nij", - (SUM(T2."Nij") OVER (PARTITION BY T1."data1")) * - (SUM(T2."Nij") OVER (PARTITION BY T1."data2")) / - SUM(T2."Nij") OVER () AS "E_nij" - FROM - expected_table AS T1 - LEFT JOIN - summ_table AS T2 - ON - T1."data1" = T2."data1" - AND T1."data2" = T2."data2" - ) -SELECT - SUM( ( "Nij" - "E_nij" ) * ( "Nij" - "E_nij" ) / "E_nij" ) AS "Chi2" -FROM - contingency_table; +WITH table1 AS + (SELECT "symbol", + "avgdata" AS "data", + "ParticipantBarcode" + FROM + (SELECT 'histological_type' AS "symbol", + "histological_type" AS "avgdata", + "bcr_patient_barcode" AS "ParticipantBarcode" + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" + WHERE "acronym" = 'BRCA' + AND "histological_type" IS NOT NULL)), + table2 AS + (SELECT "symbol", + "ParticipantBarcode" + FROM + (SELECT "Hugo_Symbol" AS "symbol", + "ParticipantBarcode" AS "ParticipantBarcode" + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" + WHERE "Study" = 'BRCA' + AND "Hugo_Symbol" = 'CDH1' + AND "FILTER" = 'PASS' + GROUP BY "ParticipantBarcode", + "symbol")), + summ_table AS + (SELECT n1."data" AS "data1", + CASE + WHEN n2."ParticipantBarcode" IS NULL THEN 'NO' + ELSE 'YES' + END AS "data2", + COUNT(*) AS "Nij" + FROM table1 AS n1 + LEFT JOIN table2 AS n2 ON n1."ParticipantBarcode" = n2."ParticipantBarcode" + GROUP BY n1."data", + "data2"), + expected_table AS + (SELECT "data1", + "data2" + FROM + (SELECT "data1", + SUM("Nij") AS "Ni" + FROM summ_table + GROUP BY "data1") AS Ni_table + CROSS JOIN + (SELECT "data2", + SUM("Nij") AS "Nj" + FROM summ_table + GROUP BY "data2") AS Nj_table + WHERE Ni_table."Ni" > 10 + AND Nj_table."Nj" > 10), + contingency_table AS + (SELECT T1."data1", + T1."data2", + COALESCE(T2."Nij", 0) AS "Nij", + (SUM(T2."Nij") OVER (PARTITION BY T1."data1")) * (SUM(T2."Nij") OVER (PARTITION BY T1."data2")) / SUM(T2."Nij") OVER () AS "E_nij" + FROM expected_table AS T1 + LEFT JOIN summ_table AS T2 ON T1."data1" = T2."data1" + AND T1."data2" = T2."data2") +SELECT SUM(("Nij" - "E_nij") * ("Nij" - "E_nij") / "E_nij") AS "Chi2" +FROM contingency_table; diff --git a/spider2/queries/lite_sf_bq166.sql b/spider2/queries/lite_sf_bq166.sql index a7e3fd9b7dc5a8b0c4498131536d9c1eadffd648..925c6825491db806b370528577e335102665f3ca 100644 --- a/spider2/queries/lite_sf_bq166.sql +++ b/spider2/queries/lite_sf_bq166.sql @@ -1,98 +1,84 @@ -WITH copy AS ( - SELECT - "case_barcode", - "chromosome", - "start_pos", - "end_pos", - MAX("copy_number") AS "copy_number" - FROM - "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" - WHERE - "project_short_name" = 'TCGA-KIRC' - GROUP BY - "case_barcode", - "chromosome", - "start_pos", - "end_pos" -), -total_cases AS ( - SELECT COUNT(DISTINCT "case_barcode") AS "total" - FROM copy -), -cytob AS ( - SELECT - "chromosome", - "cytoband_name", - "hg38_start", - "hg38_stop" - FROM - "TCGA_MITELMAN"."PROD"."CYTOBANDS_HG38" -), -joined AS ( - SELECT - cytob."chromosome", - cytob."cytoband_name", - cytob."hg38_start", - cytob."hg38_stop", - copy."case_barcode", - copy."copy_number" - FROM - copy - LEFT JOIN cytob - ON cytob."chromosome" = copy."chromosome" - WHERE - (cytob."hg38_start" >= copy."start_pos" AND copy."end_pos" >= cytob."hg38_start") - OR (copy."start_pos" >= cytob."hg38_start" AND copy."start_pos" <= cytob."hg38_stop") -), -cbands AS ( - SELECT - "chromosome", - "cytoband_name", - "hg38_start", - "hg38_stop", - "case_barcode", - MAX("copy_number") AS "copy_number" - FROM - joined - GROUP BY - "chromosome", - "cytoband_name", - "hg38_start", - "hg38_stop", - "case_barcode" -), -aberrations AS ( - SELECT - "chromosome", - "cytoband_name", - -- Amplifications: more than two copies for diploid > 4 - SUM( CASE WHEN "copy_number" > 3 THEN 1 ELSE 0 END ) AS "total_amp", - -- Gains: at most two extra copies - SUM( CASE WHEN "copy_number" = 3 THEN 1 ELSE 0 END ) AS "total_gain", - -- Homozygous deletions, or complete deletions - SUM( CASE WHEN "copy_number" = 0 THEN 1 ELSE 0 END ) AS "total_homodel", - -- Heterozygous deletions, 1 copy lost - SUM( CASE WHEN "copy_number" = 1 THEN 1 ELSE 0 END ) AS "total_heterodel", - -- Normal for Diploid = 2 - SUM( CASE WHEN "copy_number" = 2 THEN 1 ELSE 0 END ) AS "total_normal" - FROM - cbands - GROUP BY - "chromosome", - "cytoband_name" -) -SELECT - aberrations."chromosome", - aberrations."cytoband_name", - total_cases."total", - 100 * aberrations."total_amp" / total_cases."total" AS "freq_amp", - 100 * aberrations."total_gain" / total_cases."total" AS "freq_gain", - 100 * aberrations."total_homodel" / total_cases."total" AS "freq_homodel", - 100 * aberrations."total_heterodel" / total_cases."total" AS "freq_heterodel", - 100 * aberrations."total_normal" / total_cases."total" AS "freq_normal" -FROM - aberrations, - total_cases -ORDER BY - aberrations."chromosome", - aberrations."cytoband_name"; +WITH COPY AS + (SELECT "case_barcode", + "chromosome", + "start_pos", + "end_pos", + MAX("copy_number") AS "copy_number" + FROM "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" + WHERE "project_short_name" = 'TCGA-KIRC' + GROUP BY "case_barcode", + "chromosome", + "start_pos", + "end_pos"), total_cases AS + (SELECT COUNT(DISTINCT "case_barcode") AS "total" + FROM COPY), + cytob AS + (SELECT "chromosome", + "cytoband_name", + "hg38_start", + "hg38_stop" + FROM "TCGA_MITELMAN"."PROD"."CYTOBANDS_HG38"), + joined AS + (SELECT cytob."chromosome", + cytob."cytoband_name", + cytob."hg38_start", + cytob."hg38_stop", + copy."case_barcode", + copy."copy_number" + FROM COPY + LEFT JOIN cytob ON cytob."chromosome" = copy."chromosome" + WHERE (cytob."hg38_start" >= copy."start_pos" + AND copy."end_pos" >= cytob."hg38_start") + OR (copy."start_pos" >= cytob."hg38_start" + AND copy."start_pos" <= cytob."hg38_stop")), + cbands AS + (SELECT "chromosome", + "cytoband_name", + "hg38_start", + "hg38_stop", + "case_barcode", + MAX("copy_number") AS "copy_number" + FROM joined + GROUP BY "chromosome", + "cytoband_name", + "hg38_start", + "hg38_stop", + "case_barcode"), + aberrations AS + (SELECT "chromosome", + "cytoband_name", -- Amplifications: more than two copies for diploid > 4 + SUM(CASE + WHEN "copy_number" > 3 THEN 1 + ELSE 0 + END) AS "total_amp", -- Gains: at most two extra copies + SUM(CASE + WHEN "copy_number" = 3 THEN 1 + ELSE 0 + END) AS "total_gain", -- Homozygous deletions, or complete deletions + SUM(CASE + WHEN "copy_number" = 0 THEN 1 + ELSE 0 + END) AS "total_homodel", -- Heterozygous deletions, 1 copy lost + SUM(CASE + WHEN "copy_number" = 1 THEN 1 + ELSE 0 + END) AS "total_heterodel", -- Normal for Diploid = 2 + SUM(CASE + WHEN "copy_number" = 2 THEN 1 + ELSE 0 + END) AS "total_normal" + FROM cbands + GROUP BY "chromosome", + "cytoband_name") +SELECT aberrations."chromosome", + aberrations."cytoband_name", + total_cases."total", + 100 * aberrations."total_amp" / total_cases."total" AS "freq_amp", + 100 * aberrations."total_gain" / total_cases."total" AS "freq_gain", + 100 * aberrations."total_homodel" / total_cases."total" AS "freq_homodel", + 100 * aberrations."total_heterodel" / total_cases."total" AS "freq_heterodel", + 100 * aberrations."total_normal" / total_cases."total" AS "freq_normal" +FROM aberrations, + total_cases +ORDER BY aberrations."chromosome", + aberrations."cytoband_name"; diff --git a/spider2/queries/lite_sf_bq167.sql b/spider2/queries/lite_sf_bq167.sql index 5e891afc8064fc386121d04f2a8de7dbddbe777c..c8c63c9b036b7bd065af57d365e1a9bdacd1c837 100644 --- a/spider2/queries/lite_sf_bq167.sql +++ b/spider2/queries/lite_sf_bq167.sql @@ -1,40 +1,32 @@ -WITH UserPairUpvotes AS ( - SELECT - ToUsers."UserName" AS "ToUserName", - FromUsers."UserName" AS "FromUserName", - COUNT(DISTINCT "ForumMessageVotes"."Id") AS "UpvoteCount" - FROM META_KAGGLE.META_KAGGLE.FORUMMESSAGEVOTES AS "ForumMessageVotes" - INNER JOIN META_KAGGLE.META_KAGGLE.USERS AS FromUsers - ON FromUsers."Id" = "ForumMessageVotes"."FromUserId" - INNER JOIN META_KAGGLE.META_KAGGLE.USERS AS ToUsers - ON ToUsers."Id" = "ForumMessageVotes"."ToUserId" - GROUP BY - ToUsers."UserName", - FromUsers."UserName" -), -TopPairs AS ( - SELECT - "ToUserName", - "FromUserName", - "UpvoteCount", - ROW_NUMBER() OVER (ORDER BY "UpvoteCount" DESC) AS "Rank" - FROM UserPairUpvotes -), -ReciprocalUpvotes AS ( - SELECT - t."ToUserName", - t."FromUserName", - t."UpvoteCount" AS "UpvotesReceived", - COALESCE(u."UpvoteCount", 0) AS "UpvotesGiven" - FROM TopPairs t - LEFT JOIN UserPairUpvotes u - ON t."ToUserName" = u."FromUserName" AND t."FromUserName" = u."ToUserName" - WHERE t."Rank" = 1 -) -SELECT - "ToUserName" AS "UpvotedUserName", - "FromUserName" AS "UpvotingUserName", - "UpvotesReceived" AS "UpvotesReceivedByUpvotedUser", - "UpvotesGiven" AS "UpvotesGivenByUpvotedUser" +WITH UserPairUpvotes AS + (SELECT ToUsers."UserName" AS "ToUserName", + FromUsers."UserName" AS "FromUserName", + COUNT(DISTINCT "ForumMessageVotes"."Id") AS "UpvoteCount" + FROM META_KAGGLE.META_KAGGLE.FORUMMESSAGEVOTES AS "ForumMessageVotes" + INNER JOIN META_KAGGLE.META_KAGGLE.USERS AS FromUsers ON FromUsers."Id" = "ForumMessageVotes"."FromUserId" + INNER JOIN META_KAGGLE.META_KAGGLE.USERS AS ToUsers ON ToUsers."Id" = "ForumMessageVotes"."ToUserId" + GROUP BY ToUsers."UserName", + FromUsers."UserName"), + TopPairs AS + (SELECT "ToUserName", + "FromUserName", + "UpvoteCount", + ROW_NUMBER() OVER ( + ORDER BY "UpvoteCount" DESC) AS "Rank" + FROM UserPairUpvotes), + ReciprocalUpvotes AS + (SELECT t."ToUserName", + t."FromUserName", + t."UpvoteCount" AS "UpvotesReceived", + COALESCE(u."UpvoteCount", 0) AS "UpvotesGiven" + FROM TopPairs t + LEFT JOIN UserPairUpvotes u ON t."ToUserName" = u."FromUserName" + AND t."FromUserName" = u."ToUserName" + WHERE t."Rank" = 1) +SELECT "ToUserName" AS "UpvotedUserName", + "FromUserName" AS "UpvotingUserName", + "UpvotesReceived" AS "UpvotesReceivedByUpvotedUser", + "UpvotesGiven" AS "UpvotesGivenByUpvotedUser" FROM ReciprocalUpvotes -ORDER BY "UpvotesReceived" DESC, "UpvotesGiven" DESC; +ORDER BY "UpvotesReceived" DESC, + "UpvotesGiven" DESC; diff --git a/spider2/queries/lite_sf_bq176.sql b/spider2/queries/lite_sf_bq176.sql index fbebda1bc933abb04f0d189c8c4e7a82571a7a79..398b31d8f1a69a803d2ce53700c1bb5ba81a049c 100644 --- a/spider2/queries/lite_sf_bq176.sql +++ b/spider2/queries/lite_sf_bq176.sql @@ -1,74 +1,53 @@ -WITH copy AS ( - SELECT - "case_barcode", - "chromosome", - "start_pos", - "end_pos", - MAX("copy_number") AS "copy_number" - FROM - "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" - WHERE - "project_short_name" = 'TCGA-LAML' - GROUP BY - "case_barcode", - "chromosome", - "start_pos", - "end_pos" -), -total_cases AS ( - SELECT COUNT(DISTINCT "case_barcode") AS "total" - FROM copy -), -cytob AS ( - SELECT - "chromosome", - "cytoband_name", - "hg38_start", - "hg38_stop" - FROM - "TCGA_MITELMAN"."PROD"."CYTOBANDS_HG38" -), -joined AS ( - SELECT - cytob."chromosome", - cytob."cytoband_name", - cytob."hg38_start", - cytob."hg38_stop", - copy."case_barcode", - (ABS(cytob."hg38_stop" - cytob."hg38_start") + ABS(copy."end_pos" - copy."start_pos") - - ABS(cytob."hg38_stop" - copy."end_pos") - ABS(cytob."hg38_start" - copy."start_pos")) / 2.0 AS "overlap", - copy."copy_number" - FROM - copy - LEFT JOIN - cytob - ON - cytob."chromosome" = copy."chromosome" - WHERE - (cytob."hg38_start" >= copy."start_pos" AND copy."end_pos" >= cytob."hg38_start") - OR (copy."start_pos" >= cytob."hg38_start" AND copy."start_pos" <= cytob."hg38_stop") -), -INFO AS ( - SELECT - "chromosome", - "cytoband_name", - "hg38_start", - "hg38_stop", - "case_barcode", - ROUND(SUM("overlap" * "copy_number") / SUM("overlap")) AS "copy_number" - FROM - joined - GROUP BY - "chromosome", "cytoband_name", "hg38_start", "hg38_stop", "case_barcode" -) - -SELECT - "case_barcode" -FROM - INFO -WHERE - "chromosome" = 'chr15' +WITH COPY AS + (SELECT "case_barcode", + "chromosome", + "start_pos", + "end_pos", + MAX("copy_number") AS "copy_number" + FROM "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" + WHERE "project_short_name" = 'TCGA-LAML' + GROUP BY "case_barcode", + "chromosome", + "start_pos", + "end_pos"), total_cases AS + (SELECT COUNT(DISTINCT "case_barcode") AS "total" + FROM COPY), + cytob AS + (SELECT "chromosome", + "cytoband_name", + "hg38_start", + "hg38_stop" + FROM "TCGA_MITELMAN"."PROD"."CYTOBANDS_HG38"), + joined AS + (SELECT cytob."chromosome", + cytob."cytoband_name", + cytob."hg38_start", + cytob."hg38_stop", + copy."case_barcode", + (ABS(cytob."hg38_stop" - cytob."hg38_start") + ABS(copy."end_pos" - copy."start_pos") - ABS(cytob."hg38_stop" - copy."end_pos") - ABS(cytob."hg38_start" - copy."start_pos")) / 2.0 AS "overlap", + copy."copy_number" + FROM COPY + LEFT JOIN cytob ON cytob."chromosome" = copy."chromosome" + WHERE (cytob."hg38_start" >= copy."start_pos" + AND copy."end_pos" >= cytob."hg38_start") + OR (copy."start_pos" >= cytob."hg38_start" + AND copy."start_pos" <= cytob."hg38_stop")), + INFO AS + (SELECT "chromosome", + "cytoband_name", + "hg38_start", + "hg38_stop", + "case_barcode", + ROUND(SUM("overlap" * "copy_number") / SUM("overlap")) AS "copy_number" + FROM joined + GROUP BY "chromosome", + "cytoband_name", + "hg38_start", + "hg38_stop", + "case_barcode") +SELECT "case_barcode" +FROM INFO +WHERE "chromosome" = 'chr15' AND "cytoband_name" = '15q11' -ORDER BY - "copy_number" DESC +ORDER BY "copy_number" DESC LIMIT 1; diff --git a/spider2/queries/lite_sf_bq182.sql b/spider2/queries/lite_sf_bq182.sql index e18efb87d74c6e3c521024aabad41ff01b36f6ea..a5078dcb22dbbd598deb6e01869f520e2ed21ed3 100644 --- a/spider2/queries/lite_sf_bq182.sql +++ b/spider2/queries/lite_sf_bq182.sql @@ -1,66 +1,50 @@ -WITH - event_data AS ( - SELECT - "type", - EXTRACT(YEAR FROM TO_TIMESTAMP("created_at" / 1000000)) AS "year", - EXTRACT(QUARTER FROM TO_TIMESTAMP("created_at" / 1000000)) AS "quarter", - REGEXP_REPLACE( - "repo"::variant:"url"::string, - 'https:\\/\\/github\\.com\\/|https:\\/\\/api\\.github\\.com\\/repos\\/', - '' - ) AS "name" - FROM GITHUB_REPOS_DATE.DAY._20230118 - ), - - repo_languages AS ( - SELECT - "repo_name" AS "name", - "lang" - FROM ( - SELECT - "repo_name", - FIRST_VALUE("language") OVER ( - PARTITION BY "repo_name" ORDER BY "bytes" DESC - ) AS "lang" - FROM ( - SELECT - "repo_name", - "language".value:"name" AS "language", - "language".value:"bytes" AS "bytes" - FROM GITHUB_REPOS_DATE.GITHUB_REPOS.LANGUAGES, - LATERAL FLATTEN(INPUT => "language") AS "language" - ) - ) - WHERE "lang" IS NOT NULL - GROUP BY "repo_name", "lang" - ), - - joined_data AS ( - SELECT - a."type" AS "type", - b."lang" AS "language", - a."year" AS "year", - a."quarter" AS "quarter" - FROM event_data a - JOIN repo_languages b - ON a."name" = b."name" - ), - - count_data AS ( - SELECT - "language", - "year", - "quarter", - "type", - COUNT(*) AS "count" - FROM joined_data - GROUP BY "type", "language", "year", "quarter" - ORDER BY "year", "quarter", "count" DESC - ) - -SELECT - REPLACE("language", '"', '') AS "language_name", - "count" +WITH event_data AS + (SELECT "type", + EXTRACT(YEAR + FROM TO_TIMESTAMP("created_at" / 1000000)) AS "year", + EXTRACT(QUARTER + FROM TO_TIMESTAMP("created_at" / 1000000)) AS "quarter", + REGEXP_REPLACE("repo"::variant:"url"::string, 'https:\\/\\/github\\.com\\/|https:\\/\\/api\\.github\\.com\\/repos\\/', '') AS "name" + FROM GITHUB_REPOS_DATE.DAY._20230118), + repo_languages AS + (SELECT "repo_name" AS "name", + "lang" + FROM + (SELECT "repo_name", + FIRST_VALUE("language") OVER (PARTITION BY "repo_name" + ORDER BY "bytes" DESC) AS "lang" + FROM + (SELECT "repo_name", + "language".value:"name" AS "language", + "language".value:"bytes" AS "bytes" + FROM GITHUB_REPOS_DATE.GITHUB_REPOS.LANGUAGES, + LATERAL FLATTEN(INPUT => "language") AS "language")) + WHERE "lang" IS NOT NULL + GROUP BY "repo_name", + "lang"), + joined_data AS + (SELECT a."type" AS "type", + b."lang" AS "language", + a."year" AS "year", + a."quarter" AS "quarter" + FROM event_data a + JOIN repo_languages b ON a."name" = b."name"), + count_data AS + (SELECT "language", + "year", + "quarter", + "type", + COUNT(*) AS "count" + FROM joined_data + GROUP BY "type", + "language", + "year", + "quarter" + ORDER BY "year", + "quarter", + "count" DESC) +SELECT REPLACE("language", '"', '') AS "language_name", + "count" FROM count_data WHERE "count" >= 5 AND "type" = 'PullRequestEvent'; diff --git a/spider2/queries/lite_sf_bq187.sql b/spider2/queries/lite_sf_bq187.sql index a85599d3854db642f41350490ea7625760a7a68f..b67e16339d7b6ef5863a92940f8a9f1c81a3d71f 100644 --- a/spider2/queries/lite_sf_bq187.sql +++ b/spider2/queries/lite_sf_bq187.sql @@ -1,42 +1,32 @@ -WITH tokenInfo AS ( - SELECT "address" - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKENS" - WHERE "name" = 'BNB' -), - -receivedTx AS ( - SELECT "tx"."to_address" AS "addr", - "tokens"."name" AS "name", - SUM(CAST("tx"."value" AS FLOAT) / POWER(10, 18)) AS "amount_received" - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKEN_TRANSFERS" AS "tx" - JOIN tokenInfo ON "tx"."token_address" = tokenInfo."address" - JOIN "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKENS" AS "tokens" - ON "tx"."token_address" = "tokens"."address" - WHERE "tx"."to_address" <> '0x0000000000000000000000000000000000000000' - GROUP BY "tx"."to_address", "tokens"."name" -), - -sentTx AS ( - SELECT "tx"."from_address" AS "addr", - "tokens"."name" AS "name", - SUM(CAST("tx"."value" AS FLOAT) / POWER(10, 18)) AS "amount_sent" - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKEN_TRANSFERS" AS "tx" - JOIN tokenInfo ON "tx"."token_address" = tokenInfo."address" - JOIN "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKENS" AS "tokens" - ON "tx"."token_address" = "tokens"."address" - WHERE "tx"."from_address" <> '0x0000000000000000000000000000000000000000' - GROUP BY "tx"."from_address", "tokens"."name" -), - -walletBalances AS ( - SELECT r."addr", - COALESCE(SUM(r."amount_received"), 0) - COALESCE(SUM(s."amount_sent"), 0) AS "balance" - FROM receivedTx AS r - LEFT JOIN sentTx AS s - ON r."addr" = s."addr" - GROUP BY r."addr" -) - -SELECT - SUM("balance") AS "circulating_supply" +WITH tokenInfo AS + (SELECT "address" + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKENS" + WHERE "name" = 'BNB'), + receivedTx AS + (SELECT "tx"."to_address" AS "addr", + "tokens"."name" AS "name", + SUM(CAST("tx"."value" AS FLOAT) / POWER(10, 18)) AS "amount_received" + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKEN_TRANSFERS" AS "tx" + JOIN tokenInfo ON "tx"."token_address" = tokenInfo."address" + JOIN "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKENS" AS "tokens" ON "tx"."token_address" = "tokens"."address" + WHERE "tx"."to_address" <> '0x0000000000000000000000000000000000000000' + GROUP BY "tx"."to_address", + "tokens"."name"), + sentTx AS + (SELECT "tx"."from_address" AS "addr", + "tokens"."name" AS "name", + SUM(CAST("tx"."value" AS FLOAT) / POWER(10, 18)) AS "amount_sent" + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKEN_TRANSFERS" AS "tx" + JOIN tokenInfo ON "tx"."token_address" = tokenInfo."address" + JOIN "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKENS" AS "tokens" ON "tx"."token_address" = "tokens"."address" + WHERE "tx"."from_address" <> '0x0000000000000000000000000000000000000000' + GROUP BY "tx"."from_address", + "tokens"."name"), + walletBalances AS + (SELECT r."addr", + COALESCE(SUM(r."amount_received"), 0) - COALESCE(SUM(s."amount_sent"), 0) AS "balance" + FROM receivedTx AS r + LEFT JOIN sentTx AS s ON r."addr" = s."addr" + GROUP BY r."addr") +SELECT SUM("balance") AS "circulating_supply" FROM walletBalances; diff --git a/spider2/queries/lite_sf_bq193.sql b/spider2/queries/lite_sf_bq193.sql index a9a02f5bc29deadc7859e32bb2a3d9a585ab9bf4..c20075c14b17573f30869033db6a4720d969ce77 100644 --- a/spider2/queries/lite_sf_bq193.sql +++ b/spider2/queries/lite_sf_bq193.sql @@ -1,86 +1,48 @@ -WITH content_extracted AS ( - SELECT - "D"."id" AS "id", - "repo_name", - "path", - SPLIT("content", '\n') AS "lines", - "language_name" - FROM - ( - SELECT - "id", - "content" - FROM - "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_CONTENTS" - ) AS "D" - INNER JOIN - ( - SELECT - "id", - "C"."repo_name" AS "repo_name", - "path", - "language_name" - FROM - ( - SELECT - "id", - "repo_name", - "path" - FROM - "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_FILES" - WHERE - LOWER("path") LIKE '%readme.md' - ) AS "C" - INNER JOIN - ( - SELECT - "repo_name", - "language_struct".value:"name" AS "language_name" - FROM - ( - SELECT - "repo_name", - "language" - FROM - "GITHUB_REPOS"."GITHUB_REPOS"."LANGUAGES" - ) - CROSS JOIN - LATERAL FLATTEN(INPUT => "language") AS "language_struct" - ) AS "F" - ON - "C"."repo_name" = "F"."repo_name" - ) AS "E" - ON - "E"."id" = "D"."id" -), -non_empty_lines AS ( - SELECT - "line".value AS "line_", - "language_name" - FROM - content_extracted, +WITH content_extracted AS + (SELECT "D"."id" AS "id", + "repo_name", + "path", + SPLIT("content", '\n') AS "lines", + "language_name" + FROM + (SELECT "id", + "content" + FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_CONTENTS") AS "D" + INNER JOIN + (SELECT "id", + "C"."repo_name" AS "repo_name", + "path", + "language_name" + FROM + (SELECT "id", + "repo_name", + "path" + FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_FILES" + WHERE LOWER("path") LIKE '%readme.md') AS "C" + INNER JOIN + (SELECT "repo_name", + "language_struct".value:"name" AS "language_name" + FROM + (SELECT "repo_name", + "language" + FROM "GITHUB_REPOS"."GITHUB_REPOS"."LANGUAGES") + CROSS JOIN LATERAL FLATTEN(INPUT => "language") AS "language_struct") AS "F" ON "C"."repo_name" = "F"."repo_name") AS "E" ON "E"."id" = "D"."id"), + non_empty_lines AS + (SELECT "line".value AS "line_", + "language_name" + FROM content_extracted, LATERAL FLATTEN(INPUT => "lines") AS "line" - WHERE - TRIM("line".value) != '' - AND NOT STARTSWITH(TRIM("line".value), '#') - AND NOT STARTSWITH(TRIM("line".value), '//') -), -aggregated_languages AS ( - SELECT - "line_", - COUNT(*) AS "frequency", - ARRAY_AGG("language_name") AS "languages" - FROM - non_empty_lines - GROUP BY - "line_" -) - -SELECT - REGEXP_REPLACE("line_", '^"|"$', '') AS "line", - "frequency", - ARRAY_TO_STRING(ARRAY_SORT("languages"), ', ') AS "languages_sorted" -FROM - aggregated_languages -ORDER BY - "frequency" DESC; + WHERE TRIM("line".value) != '' + AND NOT STARTSWITH(TRIM("line".value), '#') + AND NOT STARTSWITH(TRIM("line".value), '//')), + aggregated_languages AS + (SELECT "line_", + COUNT(*) AS "frequency", + ARRAY_AGG("language_name") AS "languages" + FROM non_empty_lines + GROUP BY "line_") +SELECT REGEXP_REPLACE("line_", '^"|"$', '') AS "line", + "frequency", + ARRAY_TO_STRING(ARRAY_SORT("languages"), ', ') AS "languages_sorted" +FROM aggregated_languages +ORDER BY "frequency" DESC; diff --git a/spider2/queries/lite_sf_bq209.sql b/spider2/queries/lite_sf_bq209.sql index 3cdf824f2b1af978a9a99017c4423b87f78cca02..2c4de61e60c63914fcbebae19feaa751e4427cd6 100644 --- a/spider2/queries/lite_sf_bq209.sql +++ b/spider2/queries/lite_sf_bq209.sql @@ -1,67 +1,36 @@ -WITH patents_sample AS ( - SELECT - t1."publication_number", - t1."application_number" - FROM - PATENTS.PATENTS.PUBLICATIONS t1 - WHERE - TO_DATE( - CASE - WHEN t1."grant_date" != 0 THEN TO_CHAR(t1."grant_date") - ELSE NULL - END, - 'YYYYMMDD' - ) BETWEEN TO_DATE('20100101', 'YYYYMMDD') AND TO_DATE('20101231', 'YYYYMMDD') -), -forward_citation AS ( - SELECT - patents_sample."publication_number", - COUNT(DISTINCT t3."citing_application_number") AS "forward_citations" - FROM - patents_sample - LEFT JOIN ( - SELECT - x2."publication_number", - TO_DATE( - CASE - WHEN x2."filing_date" != 0 THEN TO_CHAR(x2."filing_date") - ELSE NULL - END, - 'YYYYMMDD' - ) AS "filing_date" - FROM - PATENTS.PATENTS.PUBLICATIONS x2 - WHERE - x2."filing_date" != 0 - ) t2 - ON t2."publication_number" = patents_sample."publication_number" - LEFT JOIN ( - SELECT - x3."publication_number" AS "citing_publication_number", - x3."application_number" AS "citing_application_number", - TO_DATE( - CASE - WHEN x3."filing_date" != 0 THEN TO_CHAR(x3."filing_date") - ELSE NULL - END, - 'YYYYMMDD' - ) AS "joined_filing_date", - cite.value:"publication_number"::STRING AS "cited_publication_number" - FROM - PATENTS.PATENTS.PUBLICATIONS x3, - LATERAL FLATTEN(INPUT => x3."citation") cite - WHERE - x3."filing_date" != 0 - ) t3 - ON patents_sample."publication_number" = t3."cited_publication_number" - AND t3."joined_filing_date" BETWEEN t2."filing_date" AND DATEADD(YEAR, 10, t2."filing_date") - GROUP BY - patents_sample."publication_number" -) - -SELECT - COUNT(*) -FROM - forward_citation -WHERE - "forward_citations" = 1; +WITH patents_sample AS + (SELECT t1."publication_number", + t1."application_number" + FROM PATENTS.PATENTS.PUBLICATIONS t1 + WHERE TO_DATE(CASE + WHEN t1."grant_date" != 0 THEN TO_CHAR(t1."grant_date") + ELSE NULL + END, 'YYYYMMDD') BETWEEN TO_DATE('20100101', 'YYYYMMDD') AND TO_DATE('20101231', 'YYYYMMDD')), + forward_citation AS + (SELECT patents_sample."publication_number", + COUNT(DISTINCT t3."citing_application_number") AS "forward_citations" + FROM patents_sample + LEFT JOIN + (SELECT x2."publication_number", + TO_DATE(CASE + WHEN x2."filing_date" != 0 THEN TO_CHAR(x2."filing_date") + ELSE NULL + END, 'YYYYMMDD') AS "filing_date" + FROM PATENTS.PATENTS.PUBLICATIONS x2 + WHERE x2."filing_date" != 0) t2 ON t2."publication_number" = patents_sample."publication_number" + LEFT JOIN + (SELECT x3."publication_number" AS "citing_publication_number", + x3."application_number" AS "citing_application_number", + TO_DATE(CASE + WHEN x3."filing_date" != 0 THEN TO_CHAR(x3."filing_date") + ELSE NULL + END, 'YYYYMMDD') AS "joined_filing_date", + cite.value:"publication_number"::STRING AS "cited_publication_number" + FROM PATENTS.PATENTS.PUBLICATIONS x3, + LATERAL FLATTEN(INPUT => x3."citation") cite + WHERE x3."filing_date" != 0) t3 ON patents_sample."publication_number" = t3."cited_publication_number" + AND t3."joined_filing_date" BETWEEN t2."filing_date" AND DATEADD(YEAR, 10, t2."filing_date") + GROUP BY patents_sample."publication_number") +SELECT COUNT(*) +FROM forward_citation +WHERE "forward_citations" = 1; diff --git a/spider2/queries/lite_sf_bq210.sql b/spider2/queries/lite_sf_bq210.sql index c19f3ddf4159052b024958b508bf928c17fa7b28..1c4419f84a2e81415efccf1aea952deba36b94d3 100644 --- a/spider2/queries/lite_sf_bq210.sql +++ b/spider2/queries/lite_sf_bq210.sql @@ -1,26 +1,17 @@ -WITH patents_sample AS ( - SELECT - t1."publication_number" AS publication_number, - claim.value:"text" AS claims_text - FROM - PATENTS.PATENTS.PUBLICATIONS t1, - LATERAL FLATTEN(input => t1."claims_localized") AS claim - WHERE - t1."country_code" = 'US' - AND t1."grant_date" BETWEEN 20080101 AND 20181231 - AND t1."grant_date" != 0 - AND t1."publication_number" LIKE '%B2%' -), -Publication_data AS ( - SELECT - publication_number, - COUNT_IF(claims_text NOT LIKE '%claim%') AS nb_indep_claims - FROM - patents_sample - GROUP BY - publication_number -) - +WITH patents_sample AS + (SELECT t1."publication_number" AS publication_number, + claim.value:"text" AS claims_text + FROM PATENTS.PATENTS.PUBLICATIONS t1, + LATERAL FLATTEN(INPUT => t1."claims_localized") AS claim + WHERE t1."country_code" = 'US' + AND t1."grant_date" BETWEEN 20080101 AND 20181231 + AND t1."grant_date" != 0 + AND t1."publication_number" LIKE '%B2%'), + Publication_data AS + (SELECT publication_number, + COUNT_IF(claims_text NOT LIKE '%claim%') AS nb_indep_claims + FROM patents_sample + GROUP BY publication_number) SELECT COUNT(nb_indep_claims) FROM Publication_data WHERE nb_indep_claims != 0 diff --git a/spider2/queries/lite_sf_bq213.sql b/spider2/queries/lite_sf_bq213.sql index ad53d2657537104f489a6fbe3b87aec6af6f563f..9cffd39e3f2f815f85b796db90d175f13d659fb1 100644 --- a/spider2/queries/lite_sf_bq213.sql +++ b/spider2/queries/lite_sf_bq213.sql @@ -1,23 +1,16 @@ -WITH interim_table as( -SELECT - t1."publication_number", - SUBSTR(ipc_u.value:"code", 0, 4) as ipc4 -FROM - PATENTS.PATENTS.PUBLICATIONS t1, - LATERAL FLATTEN(input => t1."ipc") AS ipc_u -WHERE -"country_code" = 'US' -AND "grant_date" between 20220601 AND 20220831 - AND "grant_date" != 0 - AND "publication_number" LIKE '%B2%' -GROUP BY - t1."publication_number", - ipc4 -) -SELECT -ipc4 -FROM -interim_table +WITH interim_table AS + (SELECT t1."publication_number", + SUBSTR(ipc_u.value:"code", 0, 4) AS ipc4 + FROM PATENTS.PATENTS.PUBLICATIONS t1, + LATERAL FLATTEN(INPUT => t1."ipc") AS ipc_u + WHERE "country_code" = 'US' + AND "grant_date" BETWEEN 20220601 AND 20220831 + AND "grant_date" != 0 + AND "publication_number" LIKE '%B2%' + GROUP BY t1."publication_number", + ipc4) +SELECT ipc4 +FROM interim_table GROUP BY ipc4 ORDER BY COUNT("publication_number") DESC LIMIT 1 diff --git a/spider2/queries/lite_sf_bq216.sql b/spider2/queries/lite_sf_bq216.sql index c8754096ef15d8d2daebbd59a95b4533d07ac57e..470b461bdacff8705edb5c2942e78168145d8a28 100644 --- a/spider2/queries/lite_sf_bq216.sql +++ b/spider2/queries/lite_sf_bq216.sql @@ -1,72 +1,50 @@ -WITH patents_sample AS ( - SELECT - "publication_number", - "application_number" - FROM - PATENTS_GOOGLE.PATENTS_GOOGLE.PUBLICATIONS - WHERE - "publication_number" = 'US-9741766-B2' -), -flattened_t5 AS ( - SELECT - t5."publication_number", - f.value AS element_value, - f.index AS pos - FROM - PATENTS_GOOGLE.PATENTS_GOOGLE.ABS_AND_EMB t5, - LATERAL FLATTEN(input => t5."embedding_v1") AS f -), -flattened_t6 AS ( - SELECT - t6."publication_number", - f.value AS element_value, - f.index AS pos - FROM - PATENTS_GOOGLE.PATENTS_GOOGLE.ABS_AND_EMB t6, - LATERAL FLATTEN(input => t6."embedding_v1") AS f -), -similarities AS ( - SELECT - t1."publication_number" AS base_publication_number, - t4."publication_number" AS similar_publication_number, - SUM(ft5.element_value * ft6.element_value) AS similarity - FROM - (SELECT * FROM patents_sample LIMIT 1) t1 - LEFT JOIN ( - SELECT - x3."publication_number", - EXTRACT(YEAR, TO_DATE(CAST(x3."filing_date" AS STRING), 'YYYYMMDD')) AS focal_filing_year - FROM - PATENTS_GOOGLE.PATENTS_GOOGLE.PUBLICATIONS x3 - WHERE - x3."filing_date" != 0 - ) t3 ON t3."publication_number" = t1."publication_number" - LEFT JOIN ( - SELECT - x4."publication_number", - EXTRACT(YEAR, TO_DATE(CAST(x4."filing_date" AS STRING), 'YYYYMMDD')) AS filing_year - FROM - PATENTS_GOOGLE.PATENTS_GOOGLE.PUBLICATIONS x4 - WHERE - x4."filing_date" != 0 - ) t4 ON - t4."publication_number" != t1."publication_number" - AND t3.focal_filing_year = t4.filing_year - LEFT JOIN flattened_t5 AS ft5 ON ft5."publication_number" = t1."publication_number" - LEFT JOIN flattened_t6 AS ft6 ON ft6."publication_number" = t4."publication_number" - AND ft5.pos = ft6.pos -- Align vector positions - GROUP BY - t1."publication_number", t4."publication_number" -) -SELECT - s.similar_publication_number, - s.similarity -FROM ( - SELECT - s.*, - ROW_NUMBER() OVER (PARTITION BY s.base_publication_number ORDER BY s.similarity DESC) AS seqnum - FROM - similarities s -) s -WHERE - seqnum <= 5; +WITH patents_sample AS + (SELECT "publication_number", + "application_number" + FROM PATENTS_GOOGLE.PATENTS_GOOGLE.PUBLICATIONS + WHERE "publication_number" = 'US-9741766-B2'), + flattened_t5 AS + (SELECT t5."publication_number", + f.value AS element_value, + f.index AS pos + FROM PATENTS_GOOGLE.PATENTS_GOOGLE.ABS_AND_EMB t5, + LATERAL FLATTEN(INPUT => t5."embedding_v1") AS f), + flattened_t6 AS + (SELECT t6."publication_number", + f.value AS element_value, + f.index AS pos + FROM PATENTS_GOOGLE.PATENTS_GOOGLE.ABS_AND_EMB t6, + LATERAL FLATTEN(INPUT => t6."embedding_v1") AS f), + similarities AS + (SELECT t1."publication_number" AS base_publication_number, + t4."publication_number" AS similar_publication_number, + SUM(ft5.element_value * ft6.element_value) AS similarity + FROM + (SELECT * + FROM patents_sample + LIMIT 1) t1 + LEFT JOIN + (SELECT x3."publication_number", + EXTRACT(YEAR, TO_DATE(CAST(x3."filing_date" AS STRING), 'YYYYMMDD')) AS focal_filing_year + FROM PATENTS_GOOGLE.PATENTS_GOOGLE.PUBLICATIONS x3 + WHERE x3."filing_date" != 0) t3 ON t3."publication_number" = t1."publication_number" + LEFT JOIN + (SELECT x4."publication_number", + EXTRACT(YEAR, TO_DATE(CAST(x4."filing_date" AS STRING), 'YYYYMMDD')) AS filing_year + FROM PATENTS_GOOGLE.PATENTS_GOOGLE.PUBLICATIONS x4 + WHERE x4."filing_date" != 0) t4 ON t4."publication_number" != t1."publication_number" + AND t3.focal_filing_year = t4.filing_year + LEFT JOIN flattened_t5 AS ft5 ON ft5."publication_number" = t1."publication_number" + LEFT JOIN flattened_t6 AS ft6 ON ft6."publication_number" = t4."publication_number" + AND ft5.pos = ft6.pos -- Align vector positions + + GROUP BY t1."publication_number", + t4."publication_number") +SELECT s.similar_publication_number, + s.similarity +FROM + (SELECT s.*, + ROW_NUMBER() OVER (PARTITION BY s.base_publication_number + ORDER BY s.similarity DESC) AS seqnum + FROM similarities s) s +WHERE seqnum <= 5; diff --git a/spider2/queries/lite_sf_bq219.sql b/spider2/queries/lite_sf_bq219.sql index 53d4bbf43fa88efee3f4899828bc3f708419e064..206d62e5b43c5ce807f0a97f51a89d4714396f1b 100644 --- a/spider2/queries/lite_sf_bq219.sql +++ b/spider2/queries/lite_sf_bq219.sql @@ -1,69 +1,47 @@ -WITH -MonthlyTotals AS -( - SELECT - TO_CHAR("date", 'YYYY-MM') AS "month", - SUM("volume_sold_gallons") AS "total_monthly_volume" - FROM - IOWA_LIQUOR_SALES.IOWA_LIQUOR_SALES."SALES" - WHERE - "date" >= '2022-01-01' - AND TO_CHAR("date", 'YYYY-MM') < TO_CHAR(CURRENT_DATE(), 'YYYY-MM') - GROUP BY - TO_CHAR("date", 'YYYY-MM') -), - -MonthCategory AS -( - SELECT - TO_CHAR("date", 'YYYY-MM') AS "month", - "category", - "category_name", - SUM("volume_sold_gallons") AS "category_monthly_volume", - CASE - WHEN "total_monthly_volume" != 0 THEN (SUM("volume_sold_gallons") / "total_monthly_volume") * 100 - ELSE NULL - END AS "category_pct_of_month_volume" - FROM - IOWA_LIQUOR_SALES.IOWA_LIQUOR_SALES."SALES" AS Sales - LEFT JOIN - MonthlyTotals ON TO_CHAR(Sales."date", 'YYYY-MM') = MonthlyTotals."month" - WHERE - Sales."date" >= '2022-01-01' - AND TO_CHAR(Sales."date", 'YYYY-MM') < TO_CHAR(CURRENT_DATE(), 'YYYY-MM') - GROUP BY - TO_CHAR(Sales."date", 'YYYY-MM'), "category", "category_name", "total_monthly_volume" -), - -middle_info AS -( - SELECT - Category1."category" AS "category1", - Category1."category_name" AS "category_name1", - Category2."category" AS "category2", - Category2."category_name" AS "category_name2", - COUNT(DISTINCT Category1."month") AS "num_months", - CORR(Category1."category_pct_of_month_volume", Category2."category_pct_of_month_volume") AS "category_corr_across_months", - AVG(Category1."category_pct_of_month_volume") AS "category1_avg_pct_of_month_volume", - AVG(Category2."category_pct_of_month_volume") AS "category2_avg_pct_of_month_volume" - FROM - MonthCategory Category1 - INNER JOIN - MonthCategory Category2 - ON Category1."month" = Category2."month" - GROUP BY - Category1."category", Category1."category_name", Category2."category", Category2."category_name" - HAVING - "num_months" >= 24 - AND "category1_avg_pct_of_month_volume" >= 1 - AND "category2_avg_pct_of_month_volume" >= 1 -) - -SELECT - "category_name1", - "category_name2" -FROM - middle_info -ORDER BY - "category_corr_across_months" +WITH MonthlyTotals AS + (SELECT TO_CHAR("date", 'YYYY-MM') AS "month", + SUM("volume_sold_gallons") AS "total_monthly_volume" + FROM IOWA_LIQUOR_SALES.IOWA_LIQUOR_SALES."SALES" + WHERE "date" >= '2022-01-01' + AND TO_CHAR("date", 'YYYY-MM') < TO_CHAR(CURRENT_DATE(), 'YYYY-MM') + GROUP BY TO_CHAR("date", 'YYYY-MM')), + MonthCategory AS + (SELECT TO_CHAR("date", 'YYYY-MM') AS "month", + "category", + "category_name", + SUM("volume_sold_gallons") AS "category_monthly_volume", + CASE + WHEN "total_monthly_volume" != 0 THEN (SUM("volume_sold_gallons") / "total_monthly_volume") * 100 + ELSE NULL + END AS "category_pct_of_month_volume" + FROM IOWA_LIQUOR_SALES.IOWA_LIQUOR_SALES."SALES" AS Sales + LEFT JOIN MonthlyTotals ON TO_CHAR(Sales."date", 'YYYY-MM') = MonthlyTotals."month" + WHERE Sales."date" >= '2022-01-01' + AND TO_CHAR(Sales."date", 'YYYY-MM') < TO_CHAR(CURRENT_DATE(), 'YYYY-MM') + GROUP BY TO_CHAR(Sales."date", 'YYYY-MM'), + "category", + "category_name", + "total_monthly_volume"), + middle_info AS + (SELECT Category1."category" AS "category1", + Category1."category_name" AS "category_name1", + Category2."category" AS "category2", + Category2."category_name" AS "category_name2", + COUNT(DISTINCT Category1."month") AS "num_months", + CORR(Category1."category_pct_of_month_volume", Category2."category_pct_of_month_volume") AS "category_corr_across_months", + AVG(Category1."category_pct_of_month_volume") AS "category1_avg_pct_of_month_volume", + AVG(Category2."category_pct_of_month_volume") AS "category2_avg_pct_of_month_volume" + FROM MonthCategory Category1 + INNER JOIN MonthCategory Category2 ON Category1."month" = Category2."month" + GROUP BY Category1."category", + Category1."category_name", + Category2."category", + Category2."category_name" + HAVING "num_months" >= 24 + AND "category1_avg_pct_of_month_volume" >= 1 + AND "category2_avg_pct_of_month_volume" >= 1) +SELECT "category_name1", + "category_name2" +FROM middle_info +ORDER BY "category_corr_across_months" LIMIT 1; diff --git a/spider2/queries/lite_sf_bq221.sql b/spider2/queries/lite_sf_bq221.sql index 9593b739a29d9ea017e0981c26c0d5640affd7a9..8be344ee5966bc741418c5e778d7608729c382ad 100644 --- a/spider2/queries/lite_sf_bq221.sql +++ b/spider2/queries/lite_sf_bq221.sql @@ -1,100 +1,70 @@ -WITH patent_cpcs AS ( - SELECT - cd."parents", - CAST(FLOOR("filing_date" / 10000) AS INT) AS "filing_year" - FROM ( - SELECT - MAX("cpc") AS "cpc", MAX("filing_date") AS "filing_date" - FROM - PATENTS.PATENTS.PUBLICATIONS - WHERE - "application_number" != '' - GROUP BY - "application_number" - ) AS publications - , LATERAL FLATTEN(INPUT => "cpc") AS cpcs - JOIN - PATENTS.PATENTS.CPC_DEFINITION cd ON cd."symbol" = cpcs.value:"code" - WHERE - cpcs.value:"first" = TRUE - AND "filing_date" > 0 - -), -yearly_counts AS ( - SELECT - "cpc_group", - "filing_year", - COUNT(*) AS "cnt" - FROM ( - SELECT - cpc_parent.value::STRING AS "cpc_group", - "filing_year" - FROM patent_cpcs, - LATERAL FLATTEN(input => patent_cpcs."parents") AS cpc_parent - ) - GROUP BY "cpc_group", "filing_year" -), -ordered_counts AS ( - SELECT - "cpc_group", - "filing_year", - "cnt", - ROW_NUMBER() OVER (PARTITION BY "cpc_group" ORDER BY "filing_year" ASC) AS rn - FROM yearly_counts -), -recursive_ema AS ( - -- Anchor member: first year per cpc_group - SELECT - "cpc_group", +WITH patent_cpcs AS + (SELECT cd."parents", + CAST(FLOOR("filing_date" / 10000) AS INT) AS "filing_year" + FROM + (SELECT MAX("cpc") AS "cpc", + MAX("filing_date") AS "filing_date" + FROM PATENTS.PATENTS.PUBLICATIONS + WHERE "application_number" != '' + GROUP BY "application_number") AS publications , + LATERAL FLATTEN(INPUT => "cpc") AS cpcs + JOIN PATENTS.PATENTS.CPC_DEFINITION cd ON cd."symbol" = cpcs.value:"code" + WHERE cpcs.value:"first" = TRUE + AND "filing_date" > 0), + yearly_counts AS + (SELECT "cpc_group", + "filing_year", + COUNT(*) AS "cnt" + FROM + (SELECT cpc_parent.value::STRING AS "cpc_group", + "filing_year" + FROM patent_cpcs, + LATERAL FLATTEN(INPUT => patent_cpcs."parents") AS cpc_parent) + GROUP BY "cpc_group", + "filing_year"), + ordered_counts AS + (SELECT "cpc_group", + "filing_year", + "cnt", + ROW_NUMBER() OVER (PARTITION BY "cpc_group" + ORDER BY "filing_year" ASC) AS rn + FROM yearly_counts), + recursive_ema AS + (-- Anchor member: first year per cpc_group + SELECT "cpc_group", "filing_year", "cnt", "cnt" * 0.2 + 0 * 0.8 AS "ema", rn - FROM ordered_counts - WHERE rn = 1 - - UNION ALL - - -- Recursive member: subsequent years - SELECT - oc."cpc_group", + FROM ordered_counts + WHERE rn = 1 + UNION ALL -- Recursive member: subsequent years + SELECT oc."cpc_group", oc."filing_year", oc."cnt", oc."cnt" * 0.2 + re."ema" * 0.8 AS "ema", oc.rn - FROM ordered_counts oc - JOIN recursive_ema re - ON oc."cpc_group" = re."cpc_group" - AND oc.rn = re.rn + 1 -), -max_ema AS ( - SELECT - "cpc_group", - "filing_year", - "ema" - FROM recursive_ema -), -ranked_ema AS ( - SELECT - me."cpc_group", - me."filing_year", - me."ema", - ROW_NUMBER() OVER ( - PARTITION BY me."cpc_group" - ORDER BY me."ema" DESC, me."filing_year" DESC - ) AS rn_rank - FROM max_ema me -) -SELECT - c."titleFull", - REPLACE(r."cpc_group", '"', '') AS "cpc_group", - r."filing_year" AS "best_filing_year" + FROM ordered_counts oc + JOIN recursive_ema re ON oc."cpc_group" = re."cpc_group" + AND oc.rn = re.rn + 1), + max_ema AS + (SELECT "cpc_group", + "filing_year", + "ema" + FROM recursive_ema), + ranked_ema AS + (SELECT me."cpc_group", + me."filing_year", + me."ema", + ROW_NUMBER() OVER (PARTITION BY me."cpc_group" + ORDER BY me."ema" DESC, me."filing_year" DESC) AS rn_rank + FROM max_ema me) +SELECT c."titleFull", + REPLACE(r."cpc_group", '"', '') AS "cpc_group", + r."filing_year" AS "best_filing_year" FROM ranked_ema r -JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" c - ON r."cpc_group" = c."symbol" -WHERE - c."level" = 5 - AND r.rn_rank = 1 -ORDER BY - c."titleFull", - "cpc_group" ASC; +JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" c ON r."cpc_group" = c."symbol" +WHERE c."level" = 5 + AND r.rn_rank = 1 +ORDER BY c."titleFull", + "cpc_group" ASC; diff --git a/spider2/queries/lite_sf_bq222.sql b/spider2/queries/lite_sf_bq222.sql index 02bcd13b5da15151826c1e978e7d1241c9158a60..08057a9382d80576c5eec62ed55a9d2a4db135da 100644 --- a/spider2/queries/lite_sf_bq222.sql +++ b/spider2/queries/lite_sf_bq222.sql @@ -1,48 +1,44 @@ -WITH patent_cpcs AS ( - SELECT - cd."parents", - CAST(FLOOR("filing_date" / 10000) AS INT) AS "filing_year" - FROM ( - SELECT MAX("cpc") AS "cpc", MAX("filing_date") AS "filing_date" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" - WHERE "application_number" != '' - AND "country_code" = 'DE' - AND "grant_date" >= 20161201 - AND "grant_date" <= 20161231 - GROUP BY "application_number" - ), LATERAL FLATTEN(INPUT => "cpc") AS cpcs - JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" cd ON cd."symbol" = cpcs.value:"code" - WHERE cpcs.value:"first" = TRUE - AND "filing_date" > 0 -), -yearly_counts AS ( - SELECT - "cpc_group", - "filing_year", - COUNT(*) AS "cnt" - FROM ( - SELECT - cpc_parent.VALUE AS "cpc_group", -- Corrected reference to flattened "parents" - "filing_year" - FROM patent_cpcs, - LATERAL FLATTEN(INPUT => "parents") AS cpc_parent -- Corrected reference to flattened "parents" - ) - GROUP BY "cpc_group", "filing_year" -), -moving_avg AS ( - SELECT - "cpc_group", - "filing_year", - "cnt", - AVG("cnt") OVER (PARTITION BY "cpc_group" ORDER BY "filing_year" ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS "moving_avg" - FROM yearly_counts +WITH patent_cpcs AS + (SELECT cd."parents", + CAST(FLOOR("filing_date" / 10000) AS INT) AS "filing_year" + FROM + (SELECT MAX("cpc") AS "cpc", + MAX("filing_date") AS "filing_date" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" + WHERE "application_number" != '' + AND "country_code" = 'DE' + AND "grant_date" >= 20161201 + AND "grant_date" <= 20161231 + GROUP BY "application_number"), LATERAL FLATTEN(INPUT => "cpc") AS cpcs + JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" cd ON cd."symbol" = cpcs.value:"code" + WHERE cpcs.value:"first" = TRUE + AND "filing_date" > 0), + yearly_counts AS + (SELECT "cpc_group", + "filing_year", + COUNT(*) AS "cnt" + FROM + (SELECT cpc_parent.VALUE AS "cpc_group", -- Corrected reference to flattened "parents" + "filing_year" + FROM patent_cpcs, + LATERAL FLATTEN(INPUT => "parents") AS cpc_parent -- Corrected reference to flattened "parents" ) -SELECT - c."titleFull", -- Ensure correct column name (check case) - REPLACE("cpc_group", '"', '') AS "cpc_group", - MAX("filing_year") AS "best_filing_year" + GROUP BY "cpc_group", + "filing_year"), + moving_avg AS + (SELECT "cpc_group", + "filing_year", + "cnt", + AVG("cnt") OVER (PARTITION BY "cpc_group" + ORDER BY "filing_year" ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS "moving_avg" + FROM yearly_counts) +SELECT c."titleFull", -- Ensure correct column name (check case) + REPLACE("cpc_group", '"', '') AS "cpc_group", + MAX("filing_year") AS "best_filing_year" FROM moving_avg JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" c ON "cpc_group" = c."symbol" WHERE c."level" = 4 -GROUP BY c."titleFull", "cpc_group" -ORDER BY c."titleFull", "cpc_group" ASC; +GROUP BY c."titleFull", + "cpc_group" +ORDER BY c."titleFull", + "cpc_group" ASC; diff --git a/spider2/queries/lite_sf_bq223.sql b/spider2/queries/lite_sf_bq223.sql index 301ce45451c9560a12d3a36e6933c0701bf76e8a..2188c5f42893cd6e4dcb09328ff3c14c872aaf92 100644 --- a/spider2/queries/lite_sf_bq223.sql +++ b/spider2/queries/lite_sf_bq223.sql @@ -1,35 +1,23 @@ -SELECT - REPLACE(citing_assignee, '"', '') AS citing_assignee, - cpcdef."titleFull" AS cpc_title, - COUNT(*) AS number -FROM ( - SELECT - pubs."publication_number" AS citing_publication_number, - cite.value:"publication_number" AS cited_publication_number, - citing_assignee_s.value:"name" AS citing_assignee, - SUBSTR(cpcs.value:"code", 1, 4) AS citing_cpc_subclass - FROM - PATENTS.PATENTS.PUBLICATIONS AS pubs - , LATERAL FLATTEN(input => pubs."citation") AS cite - , LATERAL FLATTEN(input => pubs."assignee_harmonized") AS citing_assignee_s - , LATERAL FLATTEN(input => pubs."cpc") AS cpcs - WHERE - cpcs.value:"first" = TRUE -) AS pubs -JOIN ( - SELECT - "publication_number" AS cited_publication_number, - cited_assignee_s.value:"name" AS cited_assignee - FROM - PATENTS.PATENTS.PUBLICATIONS - , LATERAL FLATTEN(input => "assignee_harmonized") AS cited_assignee_s -) AS refs - ON pubs.cited_publication_number = refs.cited_publication_number +SELECT REPLACE(citing_assignee, '"', '') AS citing_assignee, + cpcdef."titleFull" AS cpc_title, + COUNT(*) AS number +FROM + (SELECT pubs."publication_number" AS citing_publication_number, + cite.value:"publication_number" AS cited_publication_number, + citing_assignee_s.value:"name" AS citing_assignee, + SUBSTR(cpcs.value:"code", 1, 4) AS citing_cpc_subclass + FROM PATENTS.PATENTS.PUBLICATIONS AS pubs , + LATERAL FLATTEN(INPUT => pubs."citation") AS cite , + LATERAL FLATTEN(INPUT => pubs."assignee_harmonized") AS citing_assignee_s , + LATERAL FLATTEN(INPUT => pubs."cpc") AS cpcs + WHERE cpcs.value:"first" = TRUE) AS pubs JOIN - PATENTS.PATENTS.CPC_DEFINITION AS cpcdef - ON cpcdef."symbol" = pubs.citing_cpc_subclass -WHERE - refs.cited_assignee = 'DENSO CORP' - AND pubs.citing_assignee != 'DENSO CORP' -GROUP BY - citing_assignee, cpcdef."titleFull" + (SELECT "publication_number" AS cited_publication_number, + cited_assignee_s.value:"name" AS cited_assignee + FROM PATENTS.PATENTS.PUBLICATIONS , + LATERAL FLATTEN(INPUT => "assignee_harmonized") AS cited_assignee_s) AS refs ON pubs.cited_publication_number = refs.cited_publication_number +JOIN PATENTS.PATENTS.CPC_DEFINITION AS cpcdef ON cpcdef."symbol" = pubs.citing_cpc_subclass +WHERE refs.cited_assignee = 'DENSO CORP' + AND pubs.citing_assignee != 'DENSO CORP' +GROUP BY citing_assignee, + cpcdef."titleFull" diff --git a/spider2/queries/lite_sf_bq224.sql b/spider2/queries/lite_sf_bq224.sql index 6696aceabb8f43f4186174ca33b927617c7f5fe4..5569fa955913eefc795d77fdbbe6e4e19f229fa6 100644 --- a/spider2/queries/lite_sf_bq224.sql +++ b/spider2/queries/lite_sf_bq224.sql @@ -1,58 +1,41 @@ -WITH allowed_repos AS ( - SELECT - "repo_name", - "license" - FROM - GITHUB_REPOS_DATE.GITHUB_REPOS.LICENSES - WHERE - "license" IN ( - 'gpl-3.0', 'artistic-2.0', 'isc', 'cc0-1.0', 'epl-1.0', 'gpl-2.0', - 'mpl-2.0', 'lgpl-2.1', 'bsd-2-clause', 'apache-2.0', 'mit', 'lgpl-3.0' - ) -), -watch_counts AS ( - SELECT - TRY_PARSE_JSON("repo"):"name"::STRING AS "repo", - COUNT(DISTINCT TRY_PARSE_JSON("actor"):"login"::STRING) AS "watches" - FROM - GITHUB_REPOS_DATE.MONTH._202204 - WHERE - "type" = 'WatchEvent' - GROUP BY - TRY_PARSE_JSON("repo"):"name" -), -issue_counts AS ( - SELECT - TRY_PARSE_JSON("repo"):"name"::STRING AS "repo", - COUNT(*) AS "issue_events" - FROM - GITHUB_REPOS_DATE.MONTH._202204 - WHERE - "type" = 'IssuesEvent' - GROUP BY - TRY_PARSE_JSON("repo"):"name" -), -fork_counts AS ( - SELECT - TRY_PARSE_JSON("repo"):"name"::STRING AS "repo", - COUNT(*) AS "forks" - FROM - GITHUB_REPOS_DATE.MONTH._202204 - WHERE - "type" = 'ForkEvent' - GROUP BY - TRY_PARSE_JSON("repo"):"name" -) -SELECT - ar."repo_name" -FROM - allowed_repos AS ar -INNER JOIN - fork_counts AS fc ON ar."repo_name" = fc."repo" -INNER JOIN - issue_counts AS ic ON ar."repo_name" = ic."repo" -INNER JOIN - watch_counts AS wc ON ar."repo_name" = wc."repo" -ORDER BY - (fc."forks" + ic."issue_events" + wc."watches") DESC +WITH allowed_repos AS + (SELECT "repo_name", + "license" + FROM GITHUB_REPOS_DATE.GITHUB_REPOS.LICENSES + WHERE "license" IN ('gpl-3.0', + 'artistic-2.0', + 'isc', + 'cc0-1.0', + 'epl-1.0', + 'gpl-2.0', + 'mpl-2.0', + 'lgpl-2.1', + 'bsd-2-clause', + 'apache-2.0', + 'mit', + 'lgpl-3.0')), + watch_counts AS + (SELECT TRY_PARSE_JSON("repo"):"name"::STRING AS "repo", + COUNT(DISTINCT TRY_PARSE_JSON("actor"):"login"::STRING) AS "watches" + FROM GITHUB_REPOS_DATE.MONTH._202204 + WHERE "type" = 'WatchEvent' + GROUP BY TRY_PARSE_JSON("repo"):"name"), + issue_counts AS + (SELECT TRY_PARSE_JSON("repo"):"name"::STRING AS "repo", + COUNT(*) AS "issue_events" + FROM GITHUB_REPOS_DATE.MONTH._202204 + WHERE "type" = 'IssuesEvent' + GROUP BY TRY_PARSE_JSON("repo"):"name"), + fork_counts AS + (SELECT TRY_PARSE_JSON("repo"):"name"::STRING AS "repo", + COUNT(*) AS "forks" + FROM GITHUB_REPOS_DATE.MONTH._202204 + WHERE "type" = 'ForkEvent' + GROUP BY TRY_PARSE_JSON("repo"):"name") +SELECT ar."repo_name" +FROM allowed_repos AS ar +INNER JOIN fork_counts AS fc ON ar."repo_name" = fc."repo" +INNER JOIN issue_counts AS ic ON ar."repo_name" = ic."repo" +INNER JOIN watch_counts AS wc ON ar."repo_name" = wc."repo" +ORDER BY (fc."forks" + ic."issue_events" + wc."watches") DESC LIMIT 1; diff --git a/spider2/queries/lite_sf_bq233.sql b/spider2/queries/lite_sf_bq233.sql index f8411cbffd466f4697c414cefcd0dc877b7cf3a3..2a5f9f61362dc63dd819cd3330c12ecc12857558 100644 --- a/spider2/queries/lite_sf_bq233.sql +++ b/spider2/queries/lite_sf_bq233.sql @@ -1,99 +1,57 @@ -WITH extracted_modules AS ( -SELECT - el."file_id" AS "file_id", - el."repo_name", - el."path" AS "path_", - REPLACE(line.value, '"', '') AS "line_", - CASE - WHEN ENDSWITH(el."path", '.py') THEN 'python' - WHEN ENDSWITH(el."path", '.r') THEN 'r' - ELSE NULL - END AS "language", - CASE - WHEN ENDSWITH(el."path", '.py') THEN - ARRAY_CAT( - ARRAY_CONSTRUCT(REGEXP_SUBSTR(line.value, '\\bimport\\s+(\\w+)', 1, 1, 'e')), - ARRAY_CONSTRUCT(REGEXP_SUBSTR(line.value, '\\bfrom\\s+(\\w+)', 1, 1, 'e')) - ) - WHEN ENDSWITH(el."path", '.r') THEN - ARRAY_CONSTRUCT(REGEXP_SUBSTR(line.value, 'library\\s*\\(\\s*([^\\s)]+)\\s*\\)', 1, 1, 'e')) - ELSE ARRAY_CONSTRUCT() - END AS "modules" -FROM ( - SELECT - ct."id" AS "file_id", - fl."repo_name" AS "repo_name", - fl."path", - SPLIT(REPLACE(ct."content", '\n', ' \n'), '\n') AS "lines" - FROM - GITHUB_REPOS_DATE.GITHUB_REPOS.SAMPLE_FILES AS fl - JOIN - GITHUB_REPOS_DATE.GITHUB_REPOS.SAMPLE_CONTENTS AS ct - ON fl."id" = ct."id" -) AS el, -LATERAL FLATTEN(input => el."lines") AS line -WHERE - ( - ENDSWITH("path_", '.py') - AND - ( - "line_" LIKE 'import %' - OR - "line_" LIKE 'from %' - ) - ) - OR - ( - ENDSWITH("path_", '.r') - AND - "line_" LIKE 'library%(' - ) - -), -module_counts AS ( - SELECT - em."language", - f.value::STRING AS "module", - COUNT(*) AS "occurrence_count" - FROM - extracted_modules AS em, - LATERAL FLATTEN(input => em."modules") AS f - WHERE - em."modules" IS NOT NULL - AND f.value IS NOT NULL - GROUP BY - em."language", - f.value -), -python AS ( - SELECT - "language", - "module", - "occurrence_count" - FROM - module_counts - WHERE - "language" = 'python' -), -rlanguage AS ( - SELECT - "language", - "module", - "occurrence_count" - FROM - module_counts AS mc_inner - WHERE - "language" = 'r' -) -SELECT - * -FROM - python +WITH extracted_modules AS + (SELECT el."file_id" AS "file_id", + el."repo_name", + el."path" AS "path_", + REPLACE(line.value, '"', '') AS "line_", + CASE + WHEN ENDSWITH(el."path", '.py') THEN 'python' + WHEN ENDSWITH(el."path", '.r') THEN 'r' + ELSE NULL + END AS "language", + CASE + WHEN ENDSWITH(el."path", '.py') THEN ARRAY_CAT(ARRAY_CONSTRUCT(REGEXP_SUBSTR(line.value, '\\bimport\\s+(\\w+)', 1, 1, 'e')), ARRAY_CONSTRUCT(REGEXP_SUBSTR(line.value, '\\bfrom\\s+(\\w+)', 1, 1, 'e'))) + WHEN ENDSWITH(el."path", '.r') THEN ARRAY_CONSTRUCT(REGEXP_SUBSTR(line.value, 'library\\s*\\(\\s*([^\\s)]+)\\s*\\)', 1, 1, 'e')) + ELSE ARRAY_CONSTRUCT() + END AS "modules" + FROM + (SELECT ct."id" AS "file_id", + fl."repo_name" AS "repo_name", + fl."path", + SPLIT(REPLACE(ct."content", '\n', ' \n'), '\n') AS "lines" + FROM GITHUB_REPOS_DATE.GITHUB_REPOS.SAMPLE_FILES AS fl + JOIN GITHUB_REPOS_DATE.GITHUB_REPOS.SAMPLE_CONTENTS AS ct ON fl."id" = ct."id") AS el, + LATERAL FLATTEN(INPUT => el."lines") AS LINE + WHERE (ENDSWITH("path_", '.py') + AND ("line_" LIKE 'import %' + OR "line_" LIKE 'from %')) + OR (ENDSWITH("path_", '.r') + AND "line_" LIKE 'library%(')), + module_counts AS + (SELECT em."language", + f.value::STRING AS "module", + COUNT(*) AS "occurrence_count" + FROM extracted_modules AS em, + LATERAL FLATTEN(INPUT => em."modules") AS f + WHERE em."modules" IS NOT NULL + AND f.value IS NOT NULL + GROUP BY em."language", + f.value), + python AS + (SELECT "language", + "module", + "occurrence_count" + FROM module_counts + WHERE "language" = 'python'), + rlanguage AS + (SELECT "language", + "module", + "occurrence_count" + FROM module_counts AS mc_inner + WHERE "language" = 'r') +SELECT * +FROM python UNION ALL -SELECT - * -FROM - rlanguage -ORDER BY - "language", - "occurrence_count" DESC; +SELECT * +FROM rlanguage +ORDER BY "language", + "occurrence_count" DESC; diff --git a/spider2/queries/lite_sf_bq236.sql b/spider2/queries/lite_sf_bq236.sql index 9bf974518329cc61959d7bc9b75baf5e10a681c8..fe46d2bb88f44fb9eb36ee8103fefd0e4a7c8573 100644 --- a/spider2/queries/lite_sf_bq236.sql +++ b/spider2/queries/lite_sf_bq236.sql @@ -1,49 +1,33 @@ -SELECT - CONCAT("city", ', ', "state_name") AS "city", - "zip_code", - COUNT("event_id") AS "count_storms" -FROM ( - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2014 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2015 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2016 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2017 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2018 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2019 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2020 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2021 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2022 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2023 - UNION ALL - SELECT * - FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2024 -) AS storms -JOIN NOAA_DATA_PLUS.GEO_US_BOUNDARIES.ZIP_CODES - ON ST_WITHIN(ST_GEOGFROMWKB(storms."event_point"), ST_GEOGFROMWKB("zip_code_geom")) -WHERE - LOWER(storms."event_type") = 'hail' -GROUP BY - "zip_code", - "city", - "state_name" -ORDER BY - "count_storms" DESC +SELECT CONCAT("city", ', ', "state_name") AS "city", + "zip_code", + COUNT("event_id") AS "count_storms" +FROM + (SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2014 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2015 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2016 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2017 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2018 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2019 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2020 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2021 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2022 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2023 + UNION ALL SELECT * + FROM NOAA_DATA_PLUS.NOAA_HISTORIC_SEVERE_STORMS.STORMS_2024) AS storms +JOIN NOAA_DATA_PLUS.GEO_US_BOUNDARIES.ZIP_CODES ON ST_WITHIN(ST_GEOGFROMWKB(storms."event_point"), ST_GEOGFROMWKB("zip_code_geom")) +WHERE LOWER(storms."event_type") = 'hail' +GROUP BY "zip_code", + "city", + "state_name" +ORDER BY "count_storms" DESC LIMIT 5; diff --git a/spider2/queries/lite_sf_bq246.sql b/spider2/queries/lite_sf_bq246.sql index d7640eafe536a86cddfb22dd1508d53884f971ec..03dfa761b88b22d4fec9821c1c637a6d99039cd6 100644 --- a/spider2/queries/lite_sf_bq246.sql +++ b/spider2/queries/lite_sf_bq246.sql @@ -1,57 +1,35 @@ SELECT filterData."fwrdCitations_3" -FROM - PATENTSVIEW.PATENTSVIEW.APPLICATION AS app -JOIN ( - SELECT DISTINCT - cpc."patent_id", - IFNULL(citation_3."bkwdCitations_3", 0) AS "bkwdCitations_3", - IFNULL(citation_3."fwrdCitations_3", 0) AS "fwrdCitations_3" - FROM - PATENTSVIEW.PATENTSVIEW.CPC_CURRENT AS cpc - LEFT JOIN ( - SELECT - b."patent_id", - b."bkwdCitations_3", - f."fwrdCitations_3" - FROM - (SELECT - cited."patent_id", - COUNT(*) AS "fwrdCitations_3" - FROM - PATENTSVIEW.PATENTSVIEW.USPATENTCITATION AS cited - JOIN - PATENTSVIEW.PATENTSVIEW.APPLICATION AS apps - ON cited."patent_id" = apps."patent_id" - WHERE - apps."country" = 'US' - AND cited."date" >= apps."date" - AND TRY_CAST(cited."date" AS DATE) <= DATEADD(YEAR, 1, TRY_CAST(apps."date" AS DATE)) -- Citation within 1 year - GROUP BY - cited."patent_id" - ) AS f - JOIN ( - SELECT - cited."patent_id", - COUNT(*) AS "bkwdCitations_3" - FROM - PATENTSVIEW.PATENTSVIEW.USPATENTCITATION AS cited +FROM PATENTSVIEW.PATENTSVIEW.APPLICATION AS app +JOIN + (SELECT DISTINCT cpc."patent_id", + IFNULL(citation_3."bkwdCitations_3", 0) AS "bkwdCitations_3", + IFNULL(citation_3."fwrdCitations_3", 0) AS "fwrdCitations_3" + FROM PATENTSVIEW.PATENTSVIEW.CPC_CURRENT AS cpc + LEFT JOIN + (SELECT b."patent_id", + b."bkwdCitations_3", + f."fwrdCitations_3" + FROM + (SELECT cited."patent_id", + COUNT(*) AS "fwrdCitations_3" + FROM PATENTSVIEW.PATENTSVIEW.USPATENTCITATION AS cited + JOIN PATENTSVIEW.PATENTSVIEW.APPLICATION AS apps ON cited."patent_id" = apps."patent_id" + WHERE apps."country" = 'US' + AND cited."date" >= apps."date" + AND TRY_CAST(cited."date" AS DATE) <= DATEADD(YEAR, 1, TRY_CAST(apps."date" AS DATE)) -- Citation within 1 year + + GROUP BY cited."patent_id") AS f JOIN - PATENTSVIEW.PATENTSVIEW.APPLICATION AS apps - ON cited."patent_id" = apps."patent_id" - WHERE - apps."country" = 'US' - AND cited."date" < apps."date" - AND TRY_CAST(cited."date" AS DATE) >= DATEADD(YEAR, -1, TRY_CAST(apps."date" AS DATE)) -- Citation within 1 year before - GROUP BY - cited."patent_id" - ) AS b - ON b."patent_id" = f."patent_id" - WHERE - b."bkwdCitations_3" IS NOT NULL - AND f."fwrdCitations_3" IS NOT NULL - ) AS citation_3 - ON cpc."patent_id" = citation_3."patent_id" -) AS filterData -ON app."patent_id" = filterData."patent_id" + (SELECT cited."patent_id", + COUNT(*) AS "bkwdCitations_3" + FROM PATENTSVIEW.PATENTSVIEW.USPATENTCITATION AS cited + JOIN PATENTSVIEW.PATENTSVIEW.APPLICATION AS apps ON cited."patent_id" = apps."patent_id" + WHERE apps."country" = 'US' + AND cited."date" < apps."date" + AND TRY_CAST(cited."date" AS DATE) >= DATEADD(YEAR, -1, TRY_CAST(apps."date" AS DATE)) -- Citation within 1 year before + + GROUP BY cited."patent_id") AS b ON b."patent_id" = f."patent_id" + WHERE b."bkwdCitations_3" IS NOT NULL + AND f."fwrdCitations_3" IS NOT NULL) AS citation_3 ON cpc."patent_id" = citation_3."patent_id") AS filterData ON app."patent_id" = filterData."patent_id" ORDER BY filterData."bkwdCitations_3" DESC LIMIT 1; diff --git a/spider2/queries/lite_sf_bq248.sql b/spider2/queries/lite_sf_bq248.sql index 8bf08a294677128e07706feef659d15356841437..37cb570f9b3819988f4d88dcfd05d254a1bface6 100644 --- a/spider2/queries/lite_sf_bq248.sql +++ b/spider2/queries/lite_sf_bq248.sql @@ -1,58 +1,37 @@ -WITH requests AS ( - SELECT - D."id", - D."content", - E."repo_name", - E."path" - FROM - ( - SELECT - "id", - "content" - FROM - GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS - GROUP BY - "id", "content" - ) AS D - INNER JOIN - ( - SELECT - C."id", - C."repo_name", - C."path" - FROM - ( - SELECT - "id", - "repo_name", - "path" - FROM - GITHUB_REPOS.GITHUB_REPOS.SAMPLE_FILES - WHERE - LOWER("path") LIKE '%readme.md' - GROUP BY - "path", "id", "repo_name" - ) AS C - INNER JOIN - ( - SELECT - "repo_name", - language_struct.value:"name"::STRING AS "language_name" - FROM - GITHUB_REPOS.GITHUB_REPOS.LANGUAGES, - LATERAL FLATTEN(input => "language") AS language_struct - WHERE - LOWER(language_struct.value:"name"::STRING) NOT LIKE '%python%' - GROUP BY - "language_name", "repo_name" - ) AS F - ON - C."repo_name" = F."repo_name" - ) AS E - ON - D."id" = E."id" -) -SELECT - (SELECT COUNT(*) FROM requests WHERE "content" LIKE '%Copyright (c)%') / COUNT(*) AS "proportion" -FROM - requests; +WITH requests AS + (SELECT D."id", + D."content", + E."repo_name", + E."path" + FROM + (SELECT "id", + "content" + FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS + GROUP BY "id", + "content") AS D + INNER JOIN + (SELECT C."id", + C."repo_name", + C."path" + FROM + (SELECT "id", + "repo_name", + "path" + FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_FILES + WHERE LOWER("path") LIKE '%readme.md' + GROUP BY "path", + "id", + "repo_name") AS C + INNER JOIN + (SELECT "repo_name", + language_struct.value:"name"::STRING AS "language_name" + FROM GITHUB_REPOS.GITHUB_REPOS.LANGUAGES, + LATERAL FLATTEN(INPUT => "language") AS language_struct + WHERE LOWER(language_struct.value:"name"::STRING) NOT LIKE '%python%' + GROUP BY "language_name", + "repo_name") AS F ON C."repo_name" = F."repo_name") AS E ON D."id" = E."id") +SELECT + (SELECT COUNT(*) + FROM requests + WHERE "content" LIKE '%Copyright (c)%') / COUNT(*) AS "proportion" +FROM requests; diff --git a/spider2/queries/lite_sf_bq250.sql b/spider2/queries/lite_sf_bq250.sql index da79f58ae3c7a2136dc5b5269f83aabe70a21b03..f88f945e73bb9a4f00420fc6c7b96139d15ddcdf 100644 --- a/spider2/queries/lite_sf_bq250.sql +++ b/spider2/queries/lite_sf_bq250.sql @@ -1,62 +1,45 @@ -WITH country_name AS ( - SELECT 'Singapore' AS value -), +WITH country_name AS + (SELECT 'Singapore' AS value), + last_updated AS + (SELECT MAX("last_updated") AS value + FROM GEO_OPENSTREETMAP_WORLDPOP.WORLDPOP.POPULATION_GRID_1KM AS pop + INNER JOIN country_name ON (pop."country_name" = country_name.value) + WHERE "last_updated" < '2023-01-01'), + aggregated_population AS + (SELECT "geo_id", + SUM("population") AS sum_population, + ST_POINT("longitude_centroid", "latitude_centroid") AS centr -- 计算每个 geo_id 的中心点 -last_updated AS ( - SELECT - MAX("last_updated") AS value - FROM GEO_OPENSTREETMAP_WORLDPOP.WORLDPOP.POPULATION_GRID_1KM AS pop - INNER JOIN country_name ON (pop."country_name" = country_name.value) - WHERE "last_updated" < '2023-01-01' -), + FROM GEO_OPENSTREETMAP_WORLDPOP.WORLDPOP.POPULATION_GRID_1KM AS pop + INNER JOIN country_name ON (pop."country_name" = country_name.value) + INNER JOIN last_updated ON (pop."last_updated" = last_updated.value) + GROUP BY "geo_id", + "longitude_centroid", + "latitude_centroid"), + population AS + (SELECT SUM(sum_population) AS sum_population, + ST_ENVELOPE(ST_UNION_AGG(centr)) AS boundingbox -- 使用 ST_ENVELOPE 来代替 ST_CONVEXHULL -aggregated_population AS ( - SELECT - "geo_id", - SUM("population") AS sum_population, - ST_POINT("longitude_centroid", "latitude_centroid") AS centr -- 计算每个 geo_id 的中心点 - FROM - GEO_OPENSTREETMAP_WORLDPOP.WORLDPOP.POPULATION_GRID_1KM AS pop - INNER JOIN country_name ON (pop."country_name" = country_name.value) - INNER JOIN last_updated ON (pop."last_updated" = last_updated.value) - GROUP BY "geo_id", "longitude_centroid", "latitude_centroid" -), - -population AS ( - SELECT - SUM(sum_population) AS sum_population, - ST_ENVELOPE(ST_UNION_AGG(centr)) AS boundingbox -- 使用 ST_ENVELOPE 来代替 ST_CONVEXHULL - FROM aggregated_population -), - -hospitals AS ( - SELECT - layer."geometry" - FROM - GEO_OPENSTREETMAP_WORLDPOP.GEO_OPENSTREETMAP.PLANET_LAYERS AS layer - INNER JOIN population ON ST_INTERSECTS(population.boundingbox, ST_GEOGFROMWKB(layer."geometry")) - WHERE - layer."layer_code" IN (2110, 2120) -), - -distances AS ( - SELECT - pop."geo_id", - pop."population", - MIN(ST_DISTANCE(ST_GEOGFROMWKB(pop."geog"), ST_GEOGFROMWKB(hospitals."geometry"))) AS distance - FROM - GEO_OPENSTREETMAP_WORLDPOP.WORLDPOP.POPULATION_GRID_1KM AS pop - INNER JOIN country_name ON pop."country_name" = country_name.value - INNER JOIN last_updated ON pop."last_updated" = last_updated.value - CROSS JOIN hospitals - WHERE pop."population" > 0 - GROUP BY "geo_id", "population" -) - -SELECT - SUM(pd."population") AS population -FROM - distances pd + FROM aggregated_population), + hospitals AS + (SELECT layer."geometry" + FROM GEO_OPENSTREETMAP_WORLDPOP.GEO_OPENSTREETMAP.PLANET_LAYERS AS LAYER + INNER JOIN population ON ST_INTERSECTS(population.boundingbox, ST_GEOGFROMWKB(layer."geometry")) + WHERE layer."layer_code" IN (2110, + 2120)), + distances AS + (SELECT pop."geo_id", + pop."population", + MIN(ST_DISTANCE(ST_GEOGFROMWKB(pop."geog"), ST_GEOGFROMWKB(hospitals."geometry"))) AS distance + FROM GEO_OPENSTREETMAP_WORLDPOP.WORLDPOP.POPULATION_GRID_1KM AS pop + INNER JOIN country_name ON pop."country_name" = country_name.value + INNER JOIN last_updated ON pop."last_updated" = last_updated.value + CROSS JOIN hospitals + WHERE pop."population" > 0 + GROUP BY "geo_id", + "population") +SELECT SUM(pd."population") AS population +FROM distances pd CROSS JOIN population p GROUP BY distance ORDER BY distance DESC diff --git a/spider2/queries/lite_sf_bq252.sql b/spider2/queries/lite_sf_bq252.sql index 67a8644b6a40a4f083eac75ff506455494c91dd2..3fb263fc0615ceb902c13def29a2b5c8aaf2bef2 100644 --- a/spider2/queries/lite_sf_bq252.sql +++ b/spider2/queries/lite_sf_bq252.sql @@ -1,29 +1,18 @@ -WITH selected_repos AS ( - SELECT - f."id", - f."repo_name" AS "repo_name", - f."path" AS "path" - FROM - GITHUB_REPOS.GITHUB_REPOS.SAMPLE_FILES AS f -), -deduped_files AS ( - SELECT - f."id", - MIN(f."repo_name") AS "repo_name", - MIN(f."path") AS "path" - FROM - selected_repos AS f - GROUP BY - f."id" -) -SELECT - f."repo_name" -FROM - deduped_files AS f - JOIN GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS AS c - ON f."id" = c."id" -WHERE - NOT c."binary" +WITH selected_repos AS + (SELECT f."id", + f."repo_name" AS "repo_name", + f."path" AS "path" + FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_FILES AS f), + deduped_files AS + (SELECT f."id", + MIN(f."repo_name") AS "repo_name", + MIN(f."path") AS "path" + FROM selected_repos AS f + GROUP BY f."id") +SELECT f."repo_name" +FROM deduped_files AS f +JOIN GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS AS c ON f."id" = c."id" +WHERE NOT c."binary" AND f."path" LIKE '%.swift' ORDER BY c."copies" DESC LIMIT 1; diff --git a/spider2/queries/lite_sf_bq254.sql b/spider2/queries/lite_sf_bq254.sql index 3e4cd8acc5991cc1365690e9ef40babb0306cf3b..ea6a8ee0940ac4fd26689ba0fa7bf0d8d8be2460 100644 --- a/spider2/queries/lite_sf_bq254.sql +++ b/spider2/queries/lite_sf_bq254.sql @@ -1,59 +1,38 @@ -WITH bounding_area AS ( - SELECT "geometry" AS geometry - FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES, - LATERAL FLATTEN(INPUT => "all_tags") AS tag - WHERE "feature_type" = 'multipolygons' - AND tag.value:"key" = 'wikidata' - AND tag.value:"value" = 'Q191' -), -bounding_area_features AS ( - SELECT - planet_features."osm_id", - planet_features."feature_type", - planet_features."geometry", - planet_features."all_tags" - FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES AS planet_features, - bounding_area - WHERE ST_DWITHIN( - ST_GEOGFROMWKB(planet_features."geometry"), - ST_GEOGFROMWKB(bounding_area.geometry), - 0.0 - ) -), -osm_id_with_wikidata AS ( - SELECT DISTINCT - baf."osm_id" - FROM bounding_area_features AS baf, - LATERAL FLATTEN(INPUT => baf."all_tags") AS tag - WHERE tag.value:"key" = 'wikidata' -), - -polygons_wo_wikidata AS ( - SELECT - baf."osm_id", - tag.value:"value" as name, - baf."geometry" as geometry - FROM bounding_area_features AS baf - LEFT JOIN osm_id_with_wikidata AS wd - ON baf."osm_id" = wd."osm_id", - LATERAL FLATTEN(INPUT => "all_tags") AS tag - WHERE wd."osm_id" IS NULL - AND baf."osm_id" IS NOT NULL - AND baf."feature_type" = 'multipolygons' - AND tag.value:"key" = 'name' -) - -SELECT - TRIM(pww.name) as name +WITH bounding_area AS + (SELECT "geometry" AS geometry + FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES, + LATERAL FLATTEN(INPUT => "all_tags") AS tag + WHERE "feature_type" = 'multipolygons' + AND tag.value:"key" = 'wikidata' + AND tag.value:"value" = 'Q191'), + bounding_area_features AS + (SELECT planet_features."osm_id", + planet_features."feature_type", + planet_features."geometry", + planet_features."all_tags" + FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES AS planet_features, + bounding_area + WHERE ST_DWITHIN(ST_GEOGFROMWKB(planet_features."geometry"), ST_GEOGFROMWKB(bounding_area.geometry), 0.0)), + osm_id_with_wikidata AS + (SELECT DISTINCT baf."osm_id" + FROM bounding_area_features AS baf, + LATERAL FLATTEN(INPUT => baf."all_tags") AS tag + WHERE tag.value:"key" = 'wikidata'), + polygons_wo_wikidata AS + (SELECT baf."osm_id", + tag.value:"value" AS name, + baf."geometry" AS geometry + FROM bounding_area_features AS baf + LEFT JOIN osm_id_with_wikidata AS wd ON baf."osm_id" = wd."osm_id", + LATERAL FLATTEN(INPUT => "all_tags") AS tag + WHERE wd."osm_id" IS NULL + AND baf."osm_id" IS NOT NULL + AND baf."feature_type" = 'multipolygons' + AND tag.value:"key" = 'name') +SELECT TRIM(pww.name) AS name FROM bounding_area_features AS baf -JOIN polygons_wo_wikidata AS pww - ON ST_DWITHIN( - ST_GEOGFROMWKB(baf."geometry"), - ST_GEOGFROMWKB(pww.geometry), - 0.0 - ) -LEFT JOIN osm_id_with_wikidata AS wd - ON baf."osm_id" = wd."osm_id" +JOIN polygons_wo_wikidata AS pww ON ST_DWITHIN(ST_GEOGFROMWKB(baf."geometry"), ST_GEOGFROMWKB(pww.geometry), 0.0) +LEFT JOIN osm_id_with_wikidata AS wd ON baf."osm_id" = wd."osm_id" WHERE wd."osm_id" IS NOT NULL AND baf."feature_type" = 'points' GROUP BY pww.name diff --git a/spider2/queries/lite_sf_bq255.sql b/spider2/queries/lite_sf_bq255.sql index 95bf0f11888ecdc21aabfb0195f5a43dd2ef3854..6e7e6149fd072d069a98ea9b204eb048302e41a9 100644 --- a/spider2/queries/lite_sf_bq255.sql +++ b/spider2/queries/lite_sf_bq255.sql @@ -1,27 +1,14 @@ -SELECT - COUNT(commits_table."message") AS "num_messages" -FROM ( - SELECT - L."repo_name", - language_struct.value:"name"::STRING AS "language_name" - FROM - GITHUB_REPOS.GITHUB_REPOS.LANGUAGES AS L, - LATERAL FLATTEN(input => L."language") AS language_struct -) AS lang_table -JOIN - GITHUB_REPOS.GITHUB_REPOS.LICENSES AS license_table -ON - license_table."repo_name" = lang_table."repo_name" -JOIN ( - SELECT - * - FROM - GITHUB_REPOS.GITHUB_REPOS.SAMPLE_COMMITS -) AS commits_table -ON - commits_table."repo_name" = lang_table."repo_name" -WHERE - license_table."license" LIKE 'apache-2.0' +SELECT COUNT(commits_table."message") AS "num_messages" +FROM + (SELECT L."repo_name", + language_struct.value:"name"::STRING AS "language_name" + FROM GITHUB_REPOS.GITHUB_REPOS.LANGUAGES AS L, + LATERAL FLATTEN(INPUT => L."language") AS language_struct) AS lang_table +JOIN GITHUB_REPOS.GITHUB_REPOS.LICENSES AS license_table ON license_table."repo_name" = lang_table."repo_name" +JOIN + (SELECT * + FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_COMMITS) AS commits_table ON commits_table."repo_name" = lang_table."repo_name" +WHERE license_table."license" LIKE 'apache-2.0' AND lang_table."language_name" LIKE 'Shell' AND LENGTH(commits_table."message") > 5 AND LENGTH(commits_table."message") < 10000 diff --git a/spider2/queries/lite_sf_bq260.sql b/spider2/queries/lite_sf_bq260.sql index 00b92b07f92666669646f076c63119f2d3df1a3f..f05ba699f23ebe23be505f4226c0bc8096929601 100644 --- a/spider2/queries/lite_sf_bq260.sql +++ b/spider2/queries/lite_sf_bq260.sql @@ -1,69 +1,43 @@ -WITH filtered_users AS ( - SELECT - "first_name", - "last_name", - "gender", - "age", - CAST(TO_TIMESTAMP("created_at" / 1000000.0) AS DATE) AS "created_at" - FROM - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" - WHERE - CAST(TO_TIMESTAMP("created_at" / 1000000.0) AS DATE) BETWEEN '2019-01-01' AND '2022-04-30' -), -youngest_ages AS ( - SELECT - "gender", - MIN("age") AS "age" - FROM - filtered_users - GROUP BY - "gender" -), -oldest_ages AS ( - SELECT - "gender", - MAX("age") AS "age" - FROM - filtered_users - GROUP BY - "gender" -), -youngest_oldest AS ( - SELECT - u."first_name", - u."last_name", - u."gender", - u."age", - 'youngest' AS "tag" - FROM - filtered_users u - JOIN - youngest_ages y - ON - u."gender" = y."gender" AND u."age" = y."age" - - UNION ALL - - SELECT - u."first_name", - u."last_name", - u."gender", - u."age", - 'oldest' AS "tag" - FROM - filtered_users u - JOIN - oldest_ages o - ON - u."gender" = o."gender" AND u."age" = o."age" -) -SELECT - "tag", - "gender", - COUNT(*) AS "num" -FROM - youngest_oldest -GROUP BY - "tag", "gender" -ORDER BY - "tag", "gender"; +WITH filtered_users AS + (SELECT "first_name", + "last_name", + "gender", + "age", + CAST(TO_TIMESTAMP("created_at" / 1000000.0) AS DATE) AS "created_at" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" + WHERE CAST(TO_TIMESTAMP("created_at" / 1000000.0) AS DATE) BETWEEN '2019-01-01' AND '2022-04-30'), + youngest_ages AS + (SELECT "gender", + MIN("age") AS "age" + FROM filtered_users + GROUP BY "gender"), + oldest_ages AS + (SELECT "gender", + MAX("age") AS "age" + FROM filtered_users + GROUP BY "gender"), + youngest_oldest AS + (SELECT u."first_name", + u."last_name", + u."gender", + u."age", + 'youngest' AS "tag" + FROM filtered_users u + JOIN youngest_ages y ON u."gender" = y."gender" + AND u."age" = y."age" + UNION ALL SELECT u."first_name", + u."last_name", + u."gender", + u."age", + 'oldest' AS "tag" + FROM filtered_users u + JOIN oldest_ages o ON u."gender" = o."gender" + AND u."age" = o."age") +SELECT "tag", + "gender", + COUNT(*) AS "num" +FROM youngest_oldest +GROUP BY "tag", + "gender" +ORDER BY "tag", + "gender"; diff --git a/spider2/queries/lite_sf_bq263.sql b/spider2/queries/lite_sf_bq263.sql index c8afb70058d7d3e5b595cd4c449a76b6ab033792..8e92e49e211239102699ea9cb4502709f7d47f52 100644 --- a/spider2/queries/lite_sf_bq263.sql +++ b/spider2/queries/lite_sf_bq263.sql @@ -1,48 +1,35 @@ -WITH d AS ( - SELECT - a."order_id", - TO_CHAR(TO_TIMESTAMP(a."created_at" / 1000000.0), 'YYYY-MM') AS "month", -- 格式化为年月 - TO_CHAR(TO_TIMESTAMP(a."created_at" / 1000000.0), 'YYYY') AS "year", -- 格式化为年份 - b."product_id", b."sale_price", c."category", c."cost" - FROM - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" AS a - JOIN - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" AS b - ON a."order_id" = b."order_id" - JOIN - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."PRODUCTS" AS c - ON b."product_id" = c."id" - WHERE - a."status" = 'Complete' - AND TO_TIMESTAMP(a."created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2023-01-01') AND TO_TIMESTAMP('2023-12-31') - AND c."category" = 'Sleep & Lounge' -), - -e AS ( - SELECT - "month", - "year", - "sale_price", - "category", - "cost", - SUM("sale_price") OVER (PARTITION BY "month", "category") AS "TPV", - SUM("cost") OVER (PARTITION BY "month", "category") AS "total_cost", - COUNT(DISTINCT "order_id") OVER (PARTITION BY "month", "category") AS "TPO", - SUM("sale_price" - "cost") OVER (PARTITION BY "month", "category") AS "total_profit", - SUM(("sale_price" - "cost") / "cost") OVER (PARTITION BY "month", "category") AS "Profit_to_cost_ratio" - FROM - d -) - -SELECT DISTINCT - "month", - "category", - "TPV", - "total_cost", - "TPO", - "total_profit", - "Profit_to_cost_ratio" -FROM - e -ORDER BY - "month"; +WITH d AS + (SELECT a."order_id", + TO_CHAR(TO_TIMESTAMP(a."created_at" / 1000000.0), 'YYYY-MM') AS "month", -- 格式化为年月 + TO_CHAR(TO_TIMESTAMP(a."created_at" / 1000000.0), 'YYYY') AS "year", -- 格式化为年份 + b."product_id", + b."sale_price", + c."category", + c."cost" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" AS a + JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" AS b ON a."order_id" = b."order_id" + JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."PRODUCTS" AS c ON b."product_id" = c."id" + WHERE a."status" = 'Complete' + AND TO_TIMESTAMP(a."created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2023-01-01') AND TO_TIMESTAMP('2023-12-31') + AND c."category" = 'Sleep & Lounge'), + e AS + (SELECT "month", + "year", + "sale_price", + "category", + "cost", + SUM("sale_price") OVER (PARTITION BY "month", "category") AS "TPV", + SUM("cost") OVER (PARTITION BY "month", "category") AS "total_cost", + COUNT(DISTINCT "order_id") OVER (PARTITION BY "month", "category") AS "TPO", + SUM("sale_price" - "cost") OVER (PARTITION BY "month", "category") AS "total_profit", + SUM(("sale_price" - "cost") / "cost") OVER (PARTITION BY "month", "category") AS "Profit_to_cost_ratio" + FROM d) +SELECT DISTINCT "month", + "category", + "TPV", + "total_cost", + "TPO", + "total_profit", + "Profit_to_cost_ratio" +FROM e +ORDER BY "month"; diff --git a/spider2/queries/lite_sf_bq264.sql b/spider2/queries/lite_sf_bq264.sql index 6092a44cb341508a658119720f331fd4683ddbb1..c3eba0f9f3eed281f246b2644fd8f4aabb9f36b3 100644 --- a/spider2/queries/lite_sf_bq264.sql +++ b/spider2/queries/lite_sf_bq264.sql @@ -1,49 +1,51 @@ -WITH youngest AS ( - SELECT - "gender", - "id", - "first_name", - "last_name", - "age", - 'youngest' AS "tag" - FROM - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" - WHERE - "age" = (SELECT MIN("age") FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS") - AND TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2022-04-30') - GROUP BY - "gender", "id", "first_name", "last_name", "age" - ORDER BY - "gender" -), - -oldest AS ( - SELECT - "gender", - "id", - "first_name", - "last_name", - "age", - 'oldest' AS "tag" - FROM - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" - WHERE - "age" = (SELECT MAX("age") FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS") - AND TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2022-04-30') - GROUP BY - "gender", "id", "first_name", "last_name", "age" - ORDER BY - "gender" -), - -TEMP_record AS ( - SELECT * FROM youngest - UNION ALL - SELECT * FROM oldest -) - -SELECT - SUM(CASE WHEN "age" = (SELECT MAX("age") FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS") THEN 1 END) - - SUM(CASE WHEN "age" = (SELECT MIN("age") FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS") THEN 1 END) AS "diff" -FROM - TEMP_record; +WITH youngest AS + (SELECT "gender", + "id", + "first_name", + "last_name", + "age", + 'youngest' AS "tag" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" + WHERE "age" = + (SELECT MIN("age") + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS") + AND TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2022-04-30') + GROUP BY "gender", + "id", + "first_name", + "last_name", + "age" + ORDER BY "gender"), + oldest AS + (SELECT "gender", + "id", + "first_name", + "last_name", + "age", + 'oldest' AS "tag" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" + WHERE "age" = + (SELECT MAX("age") + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS") + AND TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2022-04-30') + GROUP BY "gender", + "id", + "first_name", + "last_name", + "age" + ORDER BY "gender"), + TEMP_record AS + (SELECT * + FROM youngest + UNION ALL SELECT * + FROM oldest) +SELECT SUM(CASE + WHEN "age" = + (SELECT MAX("age") + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS") THEN 1 + END) - SUM(CASE + WHEN "age" = + (SELECT MIN("age") + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS") THEN 1 + END) AS "diff" +FROM TEMP_record; diff --git a/spider2/queries/lite_sf_bq265.sql b/spider2/queries/lite_sf_bq265.sql index 3c2bc5f8d47698c62ac8ae44b313a6c01cbe7a93..8f90668121f036b4134cfe78be2a0f1ac0408c13 100644 --- a/spider2/queries/lite_sf_bq265.sql +++ b/spider2/queries/lite_sf_bq265.sql @@ -1,100 +1,61 @@ -WITH - main AS ( - SELECT - "id" AS "user_id", - "email", - "gender", - "country", - "traffic_source" - FROM - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" - WHERE - TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2019-12-31') - ), - - daate AS ( - SELECT - "user_id", - "order_id", - CAST(TO_TIMESTAMP("created_at" / 1000000.0) AS DATE) AS "order_date", - "num_of_item" - FROM - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" - WHERE - TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2019-12-31') - ), - - orders AS ( - SELECT - "user_id", - "order_id", - "product_id", - "sale_price", - "status" - FROM - "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" - WHERE - TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2019-12-31') - ), - - nest AS ( - SELECT - o."user_id", - o."order_id", - o."product_id", - d."order_date", - d."num_of_item", - ROUND(o."sale_price", 2) AS "sale_price", - ROUND(d."num_of_item" * o."sale_price", 2) AS "total_sale" - FROM - orders o - INNER JOIN - daate d - ON - o."order_id" = d."order_id" - ORDER BY - o."user_id" - ), - - type AS ( - SELECT - "user_id", - MIN(nest."order_date") AS "cohort_date", - MAX(nest."order_date") AS "latest_shopping_date", - DATEDIFF(MONTH, MIN(nest."order_date"), MAX(nest."order_date")) AS "lifespan_months", - ROUND(SUM("total_sale"), 2) AS "ltv", - COUNT("order_id") AS "no_of_order" - FROM - nest - GROUP BY - "user_id" - ), - - kite AS ( - SELECT - m."user_id", - m."email", - m."gender", - m."country", - m."traffic_source", - EXTRACT(YEAR FROM n."cohort_date") AS "cohort_year", - n."latest_shopping_date", - n."lifespan_months", - n."ltv", - n."no_of_order", - ROUND(n."ltv" / n."no_of_order", 2) AS "avg_order_value" - FROM - main m - INNER JOIN - type n - ON - m."user_id" = n."user_id" - ) - -SELECT - "email" -FROM - kite -ORDER BY - "avg_order_value" DESC +WITH main AS + (SELECT "id" AS "user_id", + "email", + "gender", + "country", + "traffic_source" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" + WHERE TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2019-12-31')), + daate AS + (SELECT "user_id", + "order_id", + CAST(TO_TIMESTAMP("created_at" / 1000000.0) AS DATE) AS "order_date", + "num_of_item" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" + WHERE TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2019-12-31')), + orders AS + (SELECT "user_id", + "order_id", + "product_id", + "sale_price", + "status" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" + WHERE TO_TIMESTAMP("created_at" / 1000000.0) BETWEEN TO_TIMESTAMP('2019-01-01') AND TO_TIMESTAMP('2019-12-31')), + nest AS + (SELECT o."user_id", + o."order_id", + o."product_id", + d."order_date", + d."num_of_item", + ROUND(o."sale_price", 2) AS "sale_price", + ROUND(d."num_of_item" * o."sale_price", 2) AS "total_sale" + FROM orders o + INNER JOIN daate d ON o."order_id" = d."order_id" + ORDER BY o."user_id"), + TYPE AS + (SELECT "user_id", + MIN(nest."order_date") AS "cohort_date", + MAX(nest."order_date") AS "latest_shopping_date", + DATEDIFF(MONTH, MIN(nest."order_date"), MAX(nest."order_date")) AS "lifespan_months", + ROUND(SUM("total_sale"), 2) AS "ltv", + COUNT("order_id") AS "no_of_order" + FROM nest + GROUP BY "user_id"), kite AS + (SELECT m."user_id", + m."email", + m."gender", + m."country", + m."traffic_source", + EXTRACT(YEAR + FROM n."cohort_date") AS "cohort_year", + n."latest_shopping_date", + n."lifespan_months", + n."ltv", + n."no_of_order", + ROUND(n."ltv" / n."no_of_order", 2) AS "avg_order_value" + FROM main m + INNER JOIN TYPE n ON m."user_id" = n."user_id") +SELECT "email" +FROM kite +ORDER BY "avg_order_value" DESC LIMIT 10; diff --git a/spider2/queries/lite_sf_bq271.sql b/spider2/queries/lite_sf_bq271.sql index 2fb26dafa33e2dd3921998ba215db391d4aeee86..b35545d0643a0396e94ca1ffccaeb216484bf31f 100644 --- a/spider2/queries/lite_sf_bq271.sql +++ b/spider2/queries/lite_sf_bq271.sql @@ -1,47 +1,38 @@ -WITH -orders_x_order_items AS ( - SELECT orders.*, - order_items."inventory_item_id", - order_items."sale_price" - FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" AS orders - LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" AS order_items - ON orders."order_id" = order_items."order_id" - WHERE TO_TIMESTAMP_NTZ(orders."created_at" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2021-01-01') AND TO_TIMESTAMP_NTZ('2021-12-31') -), - -orders_x_inventory AS ( - SELECT orders_x_order_items.*, - inventory_items."product_category", - inventory_items."product_department", - inventory_items."product_retail_price", - inventory_items."product_distribution_center_id", - inventory_items."cost", - distribution_centers."name" - FROM orders_x_order_items - LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."INVENTORY_ITEMS" AS inventory_items - ON orders_x_order_items."inventory_item_id" = inventory_items."id" - LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."DISTRIBUTION_CENTERS" AS distribution_centers - ON inventory_items."product_distribution_center_id" = distribution_centers."id" - WHERE TO_TIMESTAMP_NTZ(inventory_items."created_at" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2021-01-01') AND TO_TIMESTAMP_NTZ('2021-12-31') -), - -orders_x_users AS ( - SELECT orders_x_inventory.*, - users."country" AS "users_country" - FROM orders_x_inventory - LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" AS users - ON orders_x_inventory."user_id" = users."id" - WHERE TO_TIMESTAMP_NTZ(users."created_at" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2021-01-01') AND TO_TIMESTAMP_NTZ('2021-12-31') -) - -SELECT - DATE_TRUNC('MONTH', TO_DATE(TO_TIMESTAMP_NTZ(orders_x_users."created_at" / 1000000))) AS "reporting_month", - orders_x_users."users_country", - orders_x_users."product_department", - orders_x_users."product_category", - COUNT(DISTINCT orders_x_users."order_id") AS "n_order", - COUNT(DISTINCT orders_x_users."user_id") AS "n_purchasers", - SUM(orders_x_users."product_retail_price") - SUM(orders_x_users."cost") AS "profit" +WITH orders_x_order_items AS + (SELECT orders.*, + order_items."inventory_item_id", + order_items."sale_price" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" AS orders + LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" AS order_items ON orders."order_id" = order_items."order_id" + WHERE TO_TIMESTAMP_NTZ(orders."created_at" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2021-01-01') AND TO_TIMESTAMP_NTZ('2021-12-31')), + orders_x_inventory AS + (SELECT orders_x_order_items.*, + inventory_items."product_category", + inventory_items."product_department", + inventory_items."product_retail_price", + inventory_items."product_distribution_center_id", + inventory_items."cost", + distribution_centers."name" + FROM orders_x_order_items + LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."INVENTORY_ITEMS" AS inventory_items ON orders_x_order_items."inventory_item_id" = inventory_items."id" + LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."DISTRIBUTION_CENTERS" AS distribution_centers ON inventory_items."product_distribution_center_id" = distribution_centers."id" + WHERE TO_TIMESTAMP_NTZ(inventory_items."created_at" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2021-01-01') AND TO_TIMESTAMP_NTZ('2021-12-31')), + orders_x_users AS + (SELECT orders_x_inventory.*, + users."country" AS "users_country" + FROM orders_x_inventory + LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" AS users ON orders_x_inventory."user_id" = users."id" + WHERE TO_TIMESTAMP_NTZ(users."created_at" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2021-01-01') AND TO_TIMESTAMP_NTZ('2021-12-31')) +SELECT DATE_TRUNC('MONTH', TO_DATE(TO_TIMESTAMP_NTZ(orders_x_users."created_at" / 1000000))) AS "reporting_month", + orders_x_users."users_country", + orders_x_users."product_department", + orders_x_users."product_category", + COUNT(DISTINCT orders_x_users."order_id") AS "n_order", + COUNT(DISTINCT orders_x_users."user_id") AS "n_purchasers", + SUM(orders_x_users."product_retail_price") - SUM(orders_x_users."cost") AS "profit" FROM orders_x_users -GROUP BY 1, 2, 3, 4 +GROUP BY 1, + 2, + 3, + 4 ORDER BY "reporting_month"; diff --git a/spider2/queries/lite_sf_bq273.sql b/spider2/queries/lite_sf_bq273.sql index 880a6942c96819fd3a38b2fe7d022f6d3b442e77..92dd7f2f9989710d73cdcb367769268e7f3470e5 100644 --- a/spider2/queries/lite_sf_bq273.sql +++ b/spider2/queries/lite_sf_bq273.sql @@ -1,79 +1,59 @@ -WITH -orders AS ( - SELECT - "order_id", - "user_id", - "created_at", - DATE_TRUNC('MONTH', TO_TIMESTAMP_NTZ("delivered_at" / 1000000)) AS "delivery_month", -- Converting to timestamp - "status" - FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" +WITH orders AS + (SELECT "order_id", + "user_id", + "created_at", + DATE_TRUNC('MONTH', TO_TIMESTAMP_NTZ("delivered_at" / 1000000)) AS "delivery_month", -- Converting to timestamp + "status" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS"), + order_items AS + (SELECT "order_id", + "product_id", + "sale_price" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS"), + products AS + (SELECT "id", + "cost" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."PRODUCTS"), + users AS + (SELECT "id", + "traffic_source" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS"), + filter_join AS + (SELECT orders."order_id", + orders."user_id", + order_items."product_id", + orders."delivery_month", + orders."status", + order_items."sale_price", + products."cost", + users."traffic_source" + FROM orders + JOIN order_items ON orders."order_id" = order_items."order_id" + JOIN products ON order_items."product_id" = products."id" + JOIN users ON orders."user_id" = users."id" + WHERE orders."status" = 'Complete' + AND users."traffic_source" = 'Facebook' + AND TO_TIMESTAMP_NTZ(orders."created_at" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2022-07-01') AND TO_TIMESTAMP_NTZ('2023-11-30') -- Include July for calculation ), + monthly_sales AS + (SELECT "delivery_month", + "traffic_source", + SUM("sale_price") AS "total_revenue", + SUM("sale_price") - SUM("cost") AS "total_profit", + COUNT(DISTINCT "product_id") AS "product_quantity", + COUNT(DISTINCT "order_id") AS "orders_quantity", + COUNT(DISTINCT "user_id") AS "users_quantity" + FROM filter_join + GROUP BY "delivery_month", + "traffic_source") -- Filter to show only 8th month and onwards, but calculate using July -order_items AS ( - SELECT - "order_id", - "product_id", - "sale_price" - FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" -), - -products AS ( - SELECT - "id", - "cost" - FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."PRODUCTS" -), - -users AS ( - SELECT - "id", - "traffic_source" - FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" -), - -filter_join AS ( - SELECT - orders."order_id", - orders."user_id", - order_items."product_id", - orders."delivery_month", - orders."status", - order_items."sale_price", - products."cost", - users."traffic_source" - FROM orders - JOIN order_items ON orders."order_id" = order_items."order_id" - JOIN products ON order_items."product_id" = products."id" - JOIN users ON orders."user_id" = users."id" - WHERE orders."status" = 'Complete' - AND users."traffic_source" = 'Facebook' - AND TO_TIMESTAMP_NTZ(orders."created_at" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2022-07-01') AND TO_TIMESTAMP_NTZ('2023-11-30') -- Include July for calculation -), - -monthly_sales AS ( - SELECT - "delivery_month", - "traffic_source", - SUM("sale_price") AS "total_revenue", - SUM("sale_price") - SUM("cost") AS "total_profit", - COUNT(DISTINCT "product_id") AS "product_quantity", - COUNT(DISTINCT "order_id") AS "orders_quantity", - COUNT(DISTINCT "user_id") AS "users_quantity" - FROM filter_join - GROUP BY "delivery_month", "traffic_source" -) - --- Filter to show only 8th month and onwards, but calculate using July -SELECT - current_month."delivery_month", - COALESCE( - current_month."total_profit" - previous_month."total_profit", - 0 -- If there is no previous month (i.e. for 8月), return 0 - ) AS "profit_vs_prior_month" +SELECT current_month."delivery_month", + COALESCE(current_month."total_profit" - previous_month."total_profit", 0 -- If there is no previous month (i.e. for 8月), return 0 +) AS "profit_vs_prior_month" FROM monthly_sales AS current_month -LEFT JOIN monthly_sales AS previous_month - ON current_month."traffic_source" = previous_month."traffic_source" - AND current_month."delivery_month" = DATEADD(MONTH, -1, previous_month."delivery_month") -- Correctly join to previous month -WHERE current_month."delivery_month" >= '2022-08-01' -- Only show August and later data, but use July for calculation +LEFT JOIN monthly_sales AS previous_month ON current_month."traffic_source" = previous_month."traffic_source" +AND current_month."delivery_month" = DATEADD(MONTH, -1, previous_month."delivery_month") -- Correctly join to previous month + +WHERE current_month."delivery_month" >= '2022-08-01' -- Only show August and later data, but use July for calculation ORDER BY "profit_vs_prior_month" DESC LIMIT 5; diff --git a/spider2/queries/lite_sf_bq289.sql b/spider2/queries/lite_sf_bq289.sql index 20a9a9e289c01427b385b0faaa6f5ab424fbf06f..54cb9ede7aabe9a52442ecf06d368560c90fbfd6 100644 --- a/spider2/queries/lite_sf_bq289.sql +++ b/spider2/queries/lite_sf_bq289.sql @@ -1,40 +1,32 @@ -WITH philadelphia AS ( - SELECT - * - FROM - GEO_OPENSTREETMAP_CENSUS_PLACES.GEO_US_CENSUS_PLACES.PLACES_PENNSYLVANIA - WHERE - "place_name" = 'Philadelphia' -), -amenities AS ( - SELECT - features.*, - tags.value:"value" AS amenity - FROM - GEO_OPENSTREETMAP_CENSUS_PLACES.GEO_OPENSTREETMAP.PLANET_FEATURES_POINTS AS features - CROSS JOIN philadelphia - -- Use FLATTEN on "all_tags" to get the tags and filter by "key" - , LATERAL FLATTEN(input => features."all_tags") AS tags - WHERE - ST_CONTAINS(ST_GEOGFROMWKB(philadelphia."place_geom"), ST_GEOGFROMWKB(features."geometry")) - AND - tags.value:"key" = 'amenity' - AND - tags.value:"value" IN ('library', 'place_of_worship', 'community_centre') -), -joiin AS ( - SELECT - a1.*, - a2."osm_id" AS nearest_osm_id, - ST_DISTANCE(ST_GEOGFROMWKB(a1."geometry"), ST_GEOGFROMWKB(a2."geometry")) AS distance, - ROW_NUMBER() OVER (PARTITION BY a1."osm_id" ORDER BY ST_DISTANCE(ST_GEOGFROMWKB(a1."geometry"), ST_GEOGFROMWKB(a2."geometry"))) AS row_num - FROM amenities a1 - CROSS JOIN amenities a2 - WHERE a1."osm_id" < a2."osm_id" - ORDER BY a1."osm_id", distance -) +WITH philadelphia AS + (SELECT * + FROM GEO_OPENSTREETMAP_CENSUS_PLACES.GEO_US_CENSUS_PLACES.PLACES_PENNSYLVANIA + WHERE "place_name" = 'Philadelphia'), + amenities AS + (SELECT features.*, + tags.value:"value" AS amenity + FROM GEO_OPENSTREETMAP_CENSUS_PLACES.GEO_OPENSTREETMAP.PLANET_FEATURES_POINTS AS features + CROSS JOIN philadelphia -- Use FLATTEN on "all_tags" to get the tags and filter by "key" + , + LATERAL FLATTEN(INPUT => features."all_tags") AS tags + WHERE ST_CONTAINS(ST_GEOGFROMWKB(philadelphia."place_geom"), ST_GEOGFROMWKB(features."geometry")) + AND tags.value:"key" = 'amenity' + AND tags.value:"value" IN ('library', + 'place_of_worship', + 'community_centre')), + joiin AS + (SELECT a1.*, + a2."osm_id" AS nearest_osm_id, + ST_DISTANCE(ST_GEOGFROMWKB(a1."geometry"), ST_GEOGFROMWKB(a2."geometry")) AS distance, + ROW_NUMBER() OVER (PARTITION BY a1."osm_id" + ORDER BY ST_DISTANCE(ST_GEOGFROMWKB(a1."geometry"), ST_GEOGFROMWKB(a2."geometry"))) AS row_num + FROM amenities a1 + CROSS JOIN amenities a2 + WHERE a1."osm_id" < a2."osm_id" + ORDER BY a1."osm_id", + distance) SELECT distance -FROM joiin +FROM joiin WHERE row_num = 1 ORDER BY distance ASC LIMIT 1; diff --git a/spider2/queries/lite_sf_bq291.sql b/spider2/queries/lite_sf_bq291.sql index 34e7728e13af72cd4ae6694e40f9485e58b8d2fc..dd817c43102a079ed7b24f9e7a122391b8023493 100644 --- a/spider2/queries/lite_sf_bq291.sql +++ b/spider2/queries/lite_sf_bq291.sql @@ -1,94 +1,57 @@ -WITH daily_forecasts AS ( - SELECT - "TRI"."creation_time", - - CAST(DATEADD(hour, 1, TO_TIMESTAMP_NTZ(TO_NUMBER("forecast".value:"time") / 1000000)) AS DATE) AS "local_forecast_date", - MAX( - CASE - WHEN "forecast".value:"temperature_2m_above_ground" IS NOT NULL - THEN "forecast".value:"temperature_2m_above_ground" - ELSE NULL - END - ) AS "max_temp", - MIN( - CASE - WHEN "forecast".value:"temperature_2m_above_ground" IS NOT NULL - THEN "forecast".value:"temperature_2m_above_ground" - ELSE NULL - END - ) AS "min_temp", - AVG( - CASE - WHEN "forecast".value:"temperature_2m_above_ground" IS NOT NULL - THEN "forecast".value:"temperature_2m_above_ground" - ELSE NULL - END - ) AS "avg_temp", - SUM( - CASE - WHEN "forecast".value:"total_precipitation_surface" IS NOT NULL - THEN "forecast".value:"total_precipitation_surface" - ELSE 0 - END - ) AS "total_precipitation", - AVG( - CASE - WHEN CAST(DATEADD(hour, 1, TO_TIMESTAMP_NTZ(TO_NUMBER("forecast".value:"time") / 1000000) ) AS TIME) BETWEEN '10:00:00' AND '17:00:00' - AND "forecast".value:"total_cloud_cover_entire_atmosphere" IS NOT NULL - THEN "forecast".value:"total_cloud_cover_entire_atmosphere" - ELSE NULL - END - ) AS "avg_cloud_cover", - CASE - WHEN AVG("forecast".value:"temperature_2m_above_ground") < 32 THEN - SUM( - CASE - WHEN "forecast".value:"total_precipitation_surface" IS NOT NULL - THEN "forecast".value:"total_precipitation_surface" - ELSE 0 - END - ) - ELSE 0 - END AS "total_snow", - CASE - WHEN AVG("forecast".value:"temperature_2m_above_ground") >= 32 THEN - SUM( - CASE - WHEN "forecast".value:"total_precipitation_surface" IS NOT NULL - THEN "forecast".value:"total_precipitation_surface" - ELSE 0 - END - ) - ELSE 0 - END AS "total_rain" - FROM - "NOAA_GLOBAL_FORECAST_SYSTEM"."NOAA_GLOBAL_FORECAST_SYSTEM"."NOAA_GFS0P25" AS "TRI" - CROSS JOIN LATERAL FLATTEN(input => "TRI"."forecast") AS "forecast" - WHERE - TO_TIMESTAMP_NTZ(TO_NUMBER("TRI"."creation_time") / 1000000) BETWEEN '2019-07-01' AND '2021-07-31' - AND ST_DWITHIN( - ST_GEOGFROMWKB("TRI"."geography"), - ST_POINT(26.75, 51.5), - 5000 - ) - AND CAST(TO_TIMESTAMP_NTZ(TO_NUMBER("forecast".value:"time") / 1000000) AS DATE) = DATEADD(day, 1, CAST( TO_TIMESTAMP_NTZ(TO_NUMBER("TRI"."creation_time") / 1000000) AS DATE)) - GROUP BY - "TRI"."creation_time", - "local_forecast_date" -) - -SELECT - TO_TIMESTAMP_NTZ(TO_NUMBER("creation_time") / 1000000), - "local_forecast_date" AS "forecast_date", - "max_temp", - "min_temp", - "avg_temp", - "total_precipitation", - "avg_cloud_cover", - "total_snow", - "total_rain" -FROM - daily_forecasts -ORDER BY - "creation_time", - "forecast_date"; +WITH daily_forecasts AS + (SELECT "TRI"."creation_time", + CAST(DATEADD(HOUR, 1, TO_TIMESTAMP_NTZ(TO_NUMBER("forecast".value:"time") / 1000000)) AS DATE) AS "local_forecast_date", + MAX(CASE + WHEN "forecast".value:"temperature_2m_above_ground" IS NOT NULL THEN "forecast".value:"temperature_2m_above_ground" + ELSE NULL + END) AS "max_temp", + MIN(CASE + WHEN "forecast".value:"temperature_2m_above_ground" IS NOT NULL THEN "forecast".value:"temperature_2m_above_ground" + ELSE NULL + END) AS "min_temp", + AVG(CASE + WHEN "forecast".value:"temperature_2m_above_ground" IS NOT NULL THEN "forecast".value:"temperature_2m_above_ground" + ELSE NULL + END) AS "avg_temp", + SUM(CASE + WHEN "forecast".value:"total_precipitation_surface" IS NOT NULL THEN "forecast".value:"total_precipitation_surface" + ELSE 0 + END) AS "total_precipitation", + AVG(CASE + WHEN CAST(DATEADD(HOUR, 1, TO_TIMESTAMP_NTZ(TO_NUMBER("forecast".value:"time") / 1000000)) AS TIME) BETWEEN '10:00:00' AND '17:00:00' + AND "forecast".value:"total_cloud_cover_entire_atmosphere" IS NOT NULL THEN "forecast".value:"total_cloud_cover_entire_atmosphere" + ELSE NULL + END) AS "avg_cloud_cover", + CASE + WHEN AVG("forecast".value:"temperature_2m_above_ground") < 32 THEN SUM(CASE + WHEN "forecast".value:"total_precipitation_surface" IS NOT NULL THEN "forecast".value:"total_precipitation_surface" + ELSE 0 + END) + ELSE 0 + END AS "total_snow", + CASE + WHEN AVG("forecast".value:"temperature_2m_above_ground") >= 32 THEN SUM(CASE + WHEN "forecast".value:"total_precipitation_surface" IS NOT NULL THEN "forecast".value:"total_precipitation_surface" + ELSE 0 + END) + ELSE 0 + END AS "total_rain" + FROM "NOAA_GLOBAL_FORECAST_SYSTEM"."NOAA_GLOBAL_FORECAST_SYSTEM"."NOAA_GFS0P25" AS "TRI" + CROSS JOIN LATERAL FLATTEN(INPUT => "TRI"."forecast") AS "forecast" + WHERE TO_TIMESTAMP_NTZ(TO_NUMBER("TRI"."creation_time") / 1000000) BETWEEN '2019-07-01' AND '2021-07-31' + AND ST_DWITHIN(ST_GEOGFROMWKB("TRI"."geography"), ST_POINT(26.75, 51.5), 5000) + AND CAST(TO_TIMESTAMP_NTZ(TO_NUMBER("forecast".value:"time") / 1000000) AS DATE) = DATEADD(DAY, 1, CAST(TO_TIMESTAMP_NTZ(TO_NUMBER("TRI"."creation_time") / 1000000) AS DATE)) + GROUP BY "TRI"."creation_time", + "local_forecast_date") +SELECT TO_TIMESTAMP_NTZ(TO_NUMBER("creation_time") / 1000000), + "local_forecast_date" AS "forecast_date", + "max_temp", + "min_temp", + "avg_temp", + "total_precipitation", + "avg_cloud_cover", + "total_snow", + "total_rain" +FROM daily_forecasts +ORDER BY "creation_time", + "forecast_date"; diff --git a/spider2/queries/lite_sf_bq294.sql b/spider2/queries/lite_sf_bq294.sql index 491d83dac7e3b63e57b182c5b48cb48850eae261..e562afa6a8a1c71a12be2b846f43283965d826a6 100644 --- a/spider2/queries/lite_sf_bq294.sql +++ b/spider2/queries/lite_sf_bq294.sql @@ -1,25 +1,25 @@ -SELECT - "trip_id", - "duration_sec", - DATE(TO_TIMESTAMP_LTZ("start_date" / 1000000)) AS "star_date", - "start_station_name", - CONCAT("start_station_name", ' - ', "end_station_name") AS "route", - "bike_number", - "subscriber_type", - "member_birth_year", - (EXTRACT(YEAR FROM CURRENT_DATE()) - "member_birth_year") AS "age", - CASE - WHEN (EXTRACT(YEAR FROM CURRENT_DATE()) - "member_birth_year") < 40 THEN 'Young (<40 Y.O)' - WHEN (EXTRACT(YEAR FROM CURRENT_DATE()) - "member_birth_year") BETWEEN 40 AND 60 THEN 'Adult (40-60 Y.O)' - ELSE 'Senior Adult (>60 Y.O)' - END AS "age_class", - "member_gender", - c."name" AS "region_name" +SELECT "trip_id", + "duration_sec", + DATE(TO_TIMESTAMP_LTZ("start_date" / 1000000)) AS "star_date", + "start_station_name", + CONCAT("start_station_name", ' - ', "end_station_name") AS "route", + "bike_number", + "subscriber_type", + "member_birth_year", + (EXTRACT(YEAR + FROM CURRENT_DATE()) - "member_birth_year") AS "age", + CASE + WHEN (EXTRACT(YEAR + FROM CURRENT_DATE()) - "member_birth_year") < 40 THEN 'Young (<40 Y.O)' + WHEN (EXTRACT(YEAR + FROM CURRENT_DATE()) - "member_birth_year") BETWEEN 40 AND 60 THEN 'Adult (40-60 Y.O)' + ELSE 'Senior Adult (>60 Y.O)' + END AS "age_class", + "member_gender", + c."name" AS "region_name" FROM "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_TRIPS" a -LEFT JOIN "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_STATION_INFO" b - ON a."start_station_id" = b."station_id" -LEFT JOIN "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_REGIONS" c - ON b."region_id" = c."region_id" +LEFT JOIN "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_STATION_INFO" b ON a."start_station_id" = b."station_id" +LEFT JOIN "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_REGIONS" c ON b."region_id" = c."region_id" WHERE TO_TIMESTAMP_LTZ("start_date" / 1000000) BETWEEN '2017-07-01' AND '2017-12-31' AND b."station_id" IS NOT NULL AND "member_birth_year" IS NOT NULL diff --git a/spider2/queries/lite_sf_bq295.sql b/spider2/queries/lite_sf_bq295.sql index 5031f6cd06c4b4621e0fa5895045e913e9644d8d..511304506fe406957c84cf01227efc5cf2b5f1ac 100644 --- a/spider2/queries/lite_sf_bq295.sql +++ b/spider2/queries/lite_sf_bq295.sql @@ -1,117 +1,54 @@ -WITH watched_repos AS ( - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201701 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201702 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201703 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201704 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201705 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201706 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201707 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201708 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201709 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201710 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201711 - WHERE - "type" = 'WatchEvent' - UNION ALL - SELECT - PARSE_JSON("repo"):"name"::STRING AS "repo" - FROM - GITHUB_REPOS_DATE.MONTH._201712 - WHERE - "type" = 'WatchEvent' -), - -repo_watch_counts AS ( - SELECT - "repo", - COUNT(*) AS "watch_count" - FROM - watched_repos - GROUP BY - "repo" -) - -SELECT - REPLACE(r."repo", '"', '') AS "repo", - r."watch_count" -FROM - GITHUB_REPOS_DATE.GITHUB_REPOS.SAMPLE_FILES AS f -JOIN - GITHUB_REPOS_DATE.GITHUB_REPOS.SAMPLE_CONTENTS AS c - ON f."id" = c."id" -JOIN - repo_watch_counts AS r - ON f."repo_name" = r."repo" -WHERE - f."path" LIKE '%.py' - AND c."size" < 15000 - AND POSITION('def ' IN c."content") > 0 -GROUP BY - r."repo", r."watch_count" -ORDER BY - r."watch_count" DESC -LIMIT - 3; +WITH watched_repos AS + (SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201701 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201702 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201703 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201704 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201705 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201706 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201707 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201708 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201709 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201710 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201711 + WHERE "type" = 'WatchEvent' + UNION ALL SELECT PARSE_JSON("repo"):"name"::STRING AS "repo" + FROM GITHUB_REPOS_DATE.MONTH._201712 + WHERE "type" = 'WatchEvent'), + repo_watch_counts AS + (SELECT "repo", + COUNT(*) AS "watch_count" + FROM watched_repos + GROUP BY "repo") +SELECT REPLACE(r."repo", '"', '') AS "repo", + r."watch_count" +FROM GITHUB_REPOS_DATE.GITHUB_REPOS.SAMPLE_FILES AS f +JOIN GITHUB_REPOS_DATE.GITHUB_REPOS.SAMPLE_CONTENTS AS c ON f."id" = c."id" +JOIN repo_watch_counts AS r ON f."repo_name" = r."repo" +WHERE f."path" LIKE '%.py' + AND c."size" < 15000 + AND POSITION('def ' IN c."content") > 0 +GROUP BY r."repo", + r."watch_count" +ORDER BY r."watch_count" DESC +LIMIT 3; diff --git a/spider2/queries/lite_sf_bq320.sql b/spider2/queries/lite_sf_bq320.sql index d23028069e3202f35956a8395a13a8b801ab7bd2..b72e805ba287e110987e818ec955db8955203c95 100644 --- a/spider2/queries/lite_sf_bq320.sql +++ b/spider2/queries/lite_sf_bq320.sql @@ -1,33 +1,15 @@ -SELECT - COUNT(*) AS "total_count" -FROM - IDC.IDC_V17.DICOM_PIVOT AS "dicom_pivot" -WHERE - "StudyInstanceUID" IN ( - SELECT - "StudyInstanceUID" - FROM - IDC.IDC_V17.DICOM_PIVOT AS "dicom_pivot" - WHERE - "StudyInstanceUID" IN ( - SELECT - "StudyInstanceUID" - FROM - IDC.IDC_V17.DICOM_PIVOT AS "dicom_pivot" - WHERE - LOWER("dicom_pivot"."SegmentedPropertyTypeCodeSequence") LIKE LOWER('15825003') - GROUP BY - "StudyInstanceUID" - INTERSECT - SELECT - "StudyInstanceUID" - FROM - IDC.IDC_V17.DICOM_PIVOT AS "dicom_pivot" - WHERE - "dicom_pivot"."collection_id" IN ('Community', 'nsclc_radiomics') - GROUP BY - "StudyInstanceUID" - ) - GROUP BY - "StudyInstanceUID" - ); +SELECT COUNT(*) AS "total_count" +FROM IDC.IDC_V17.DICOM_PIVOT AS "dicom_pivot" +WHERE "StudyInstanceUID" IN + (SELECT "StudyInstanceUID" + FROM IDC.IDC_V17.DICOM_PIVOT AS "dicom_pivot" + WHERE "StudyInstanceUID" IN + (SELECT "StudyInstanceUID" + FROM IDC.IDC_V17.DICOM_PIVOT AS "dicom_pivot" + WHERE LOWER("dicom_pivot"."SegmentedPropertyTypeCodeSequence") LIKE LOWER('15825003') + GROUP BY "StudyInstanceUID" INTERSECT SELECT "StudyInstanceUID" + FROM IDC.IDC_V17.DICOM_PIVOT AS "dicom_pivot" + WHERE "dicom_pivot"."collection_id" IN ('Community', + 'nsclc_radiomics') + GROUP BY "StudyInstanceUID") + GROUP BY "StudyInstanceUID"); diff --git a/spider2/queries/lite_sf_bq321.sql b/spider2/queries/lite_sf_bq321.sql index 71d592a23a59f27d797ab3bb34dbb29f0357eaa6..fcd01fc4fb053041906ec57883677c58692a3557 100644 --- a/spider2/queries/lite_sf_bq321.sql +++ b/spider2/queries/lite_sf_bq321.sql @@ -1,37 +1,21 @@ -WITH relevant_series AS ( - SELECT - DISTINCT "StudyInstanceUID" - FROM - IDC.IDC_V17.DICOM_ALL - WHERE - "collection_id" = 'qin_prostate_repeatability' - AND "SeriesDescription" IN ( - 'DWI', - 'T2 Weighted Axial', - 'Apparent Diffusion Coefficient', - 'T2 Weighted Axial Segmentations', - 'Apparent Diffusion Coefficient Segmentations' - ) -), -t2_seg_lesion_series AS ( - SELECT - DISTINCT "StudyInstanceUID" - FROM - IDC.IDC_V17.DICOM_ALL - CROSS JOIN LATERAL FLATTEN(input => "SegmentSequence") AS segSeq - WHERE - "collection_id" = 'qin_prostate_repeatability' - AND "SeriesDescription" = 'T2 Weighted Axial Segmentations' -) - -SELECT - COUNT(DISTINCT "StudyInstanceUID") AS "total_count" -FROM ( - SELECT - "StudyInstanceUID" - FROM relevant_series - UNION ALL - SELECT - "StudyInstanceUID" - FROM t2_seg_lesion_series -); +WITH relevant_series AS + (SELECT DISTINCT "StudyInstanceUID" + FROM IDC.IDC_V17.DICOM_ALL + WHERE "collection_id" = 'qin_prostate_repeatability' + AND "SeriesDescription" IN ('DWI', + 'T2 Weighted Axial', + 'Apparent Diffusion Coefficient', + 'T2 Weighted Axial Segmentations', + 'Apparent Diffusion Coefficient Segmentations')), + t2_seg_lesion_series AS + (SELECT DISTINCT "StudyInstanceUID" + FROM IDC.IDC_V17.DICOM_ALL + CROSS JOIN LATERAL FLATTEN(INPUT => "SegmentSequence") AS segSeq + WHERE "collection_id" = 'qin_prostate_repeatability' + AND "SeriesDescription" = 'T2 Weighted Axial Segmentations') +SELECT COUNT(DISTINCT "StudyInstanceUID") AS "total_count" +FROM + (SELECT "StudyInstanceUID" + FROM relevant_series + UNION ALL SELECT "StudyInstanceUID" + FROM t2_seg_lesion_series); diff --git a/spider2/queries/lite_sf_bq334.sql b/spider2/queries/lite_sf_bq334.sql index 131e9c5e7aab910848272544e48e44bde1edbf45..f8f9c222f19531edf2ff859e372d335eedb22bd0 100644 --- a/spider2/queries/lite_sf_bq334.sql +++ b/spider2/queries/lite_sf_bq334.sql @@ -1,59 +1,37 @@ -WITH all_transactions AS ( - SELECT - TO_TIMESTAMP_NTZ("block_timestamp" / 1000000) AS "timestamp", -- 将时间戳转换为日期时间格式 - "value", - 'input' AS "type" - FROM - "CRYPTO"."CRYPTO_BITCOIN"."INPUTS" - UNION ALL - SELECT - TO_TIMESTAMP_NTZ("block_timestamp" / 1000000) AS "timestamp", -- 将时间戳转换为日期时间格式 - "value", - 'output' AS "type" - FROM - "CRYPTO"."CRYPTO_BITCOIN"."OUTPUTS" -), -filtered_transactions AS ( - SELECT - EXTRACT(YEAR FROM "timestamp") AS "year", - "value" - FROM - all_transactions - WHERE "type" = 'output' -), -average_output_values AS ( - SELECT - "year", - AVG("value") AS "avg_value" - FROM - filtered_transactions - GROUP BY "year" -), -average_transaction_values AS ( - SELECT - EXTRACT(YEAR FROM TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) AS "year", -- 同样转换时间戳 - AVG("output_value") AS "avg_transaction_value" - FROM - "CRYPTO"."CRYPTO_BITCOIN"."TRANSACTIONS" - GROUP BY "year" - ORDER BY "year" -), -common_years AS ( - SELECT - ao."year", - ao."avg_value" AS "avg_output_value", - atv."avg_transaction_value" - FROM - average_output_values ao - JOIN - average_transaction_values atv - ON ao."year" = atv."year" -) - -SELECT - "year", - "avg_transaction_value" - "avg_output_value" AS "difference" -FROM - common_years -ORDER BY - "year"; +WITH all_transactions AS + (SELECT TO_TIMESTAMP_NTZ("block_timestamp" / 1000000) AS "timestamp", -- 将时间戳转换为日期时间格式 + "value", + 'input' AS "type" + FROM "CRYPTO"."CRYPTO_BITCOIN"."INPUTS" + UNION ALL SELECT TO_TIMESTAMP_NTZ("block_timestamp" / 1000000) AS "timestamp", -- 将时间戳转换为日期时间格式 + "value", + 'output' AS "type" + FROM "CRYPTO"."CRYPTO_BITCOIN"."OUTPUTS"), + filtered_transactions AS + (SELECT EXTRACT(YEAR + FROM "timestamp") AS "year", + "value" + FROM all_transactions + WHERE "type" = 'output'), + average_output_values AS + (SELECT "year", + AVG("value") AS "avg_value" + FROM filtered_transactions + GROUP BY "year"), + average_transaction_values AS + (SELECT EXTRACT(YEAR + FROM TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) AS "year", -- 同样转换时间戳 + AVG("output_value") AS "avg_transaction_value" + FROM "CRYPTO"."CRYPTO_BITCOIN"."TRANSACTIONS" + GROUP BY "year" + ORDER BY "year"), + common_years AS + (SELECT ao."year", + ao."avg_value" AS "avg_output_value", + atv."avg_transaction_value" + FROM average_output_values ao + JOIN average_transaction_values atv ON ao."year" = atv."year") +SELECT "year", + "avg_transaction_value" - "avg_output_value" AS "difference" +FROM common_years +ORDER BY "year"; diff --git a/spider2/queries/lite_sf_bq341.sql b/spider2/queries/lite_sf_bq341.sql index 7a58625c910889799ede39002ef867a1758e47a2..83bb0ddc70bcb5dbf68ae34686356394b7edfb87 100644 --- a/spider2/queries/lite_sf_bq341.sql +++ b/spider2/queries/lite_sf_bq341.sql @@ -1,58 +1,29 @@ -WITH transaction_addresses AS ( - SELECT - "from_address", - "to_address", - CAST("value" AS NUMERIC) / 1000000 AS "value" - FROM - "CRYPTO"."CRYPTO_ETHEREUM"."TOKEN_TRANSFERS" - WHERE - "token_address" = '0xa92a861fc11b99b24296af880011b47f9cafb5ab' -), - -out_addresses AS ( - SELECT - "from_address", - SUM(-1 * "value") AS "total_value" - FROM - transaction_addresses - GROUP BY - "from_address" -), - -in_addresses AS ( - SELECT - "to_address", - SUM("value") AS "total_value" - FROM - transaction_addresses - GROUP BY - "to_address" -), - -all_addresses AS ( - SELECT - "from_address" AS "address", - "total_value" - FROM - out_addresses - - UNION ALL - - SELECT - "to_address" AS "address", - "total_value" - FROM - in_addresses -) - -SELECT - "address" -FROM - all_addresses -GROUP BY - "address" -HAVING - SUM("total_value") > 0 -ORDER BY - SUM("total_value") ASC +WITH transaction_addresses AS + (SELECT "from_address", + "to_address", + CAST("value" AS NUMERIC) / 1000000 AS "value" + FROM "CRYPTO"."CRYPTO_ETHEREUM"."TOKEN_TRANSFERS" + WHERE "token_address" = '0xa92a861fc11b99b24296af880011b47f9cafb5ab'), + out_addresses AS + (SELECT "from_address", + SUM(-1 * "value") AS "total_value" + FROM transaction_addresses + GROUP BY "from_address"), + in_addresses AS + (SELECT "to_address", + SUM("value") AS "total_value" + FROM transaction_addresses + GROUP BY "to_address"), + all_addresses AS + (SELECT "from_address" AS "address", + "total_value" + FROM out_addresses + UNION ALL SELECT "to_address" AS "address", + "total_value" + FROM in_addresses) +SELECT "address" +FROM all_addresses +GROUP BY "address" +HAVING SUM("total_value") > 0 +ORDER BY SUM("total_value") ASC LIMIT 3; diff --git a/spider2/queries/lite_sf_bq345.sql b/spider2/queries/lite_sf_bq345.sql index ba18d6c3be422806e7fd5b2ddad21716d1dcd282..494eecdda40400b7d79f18076c1060807ff145e6 100644 --- a/spider2/queries/lite_sf_bq345.sql +++ b/spider2/queries/lite_sf_bq345.sql @@ -1,32 +1,24 @@ -WITH seg_rtstruct AS ( - SELECT - "collection_id", - "StudyInstanceUID", - "SeriesInstanceUID", - CONCAT('https://viewer.imaging.datacommons.cancer.gov/viewer/', "StudyInstanceUID") AS "viewer_url", - "instance_size" - FROM - "IDC"."IDC_V17"."DICOM_ALL" - WHERE - "Modality" IN ('SEG', 'RTSTRUCT') - AND "SOPClassUID" = '1.2.840.10008.5.1.4.1.1.66.4' - AND ARRAY_SIZE("ReferencedSeriesSequence") = 0 - AND ARRAY_SIZE("ReferencedImageSequence") = 0 - AND ARRAY_SIZE("SourceImageSequence") = 0 -) - -SELECT - seg_rtstruct."collection_id", - seg_rtstruct."SeriesInstanceUID", - seg_rtstruct."StudyInstanceUID", - seg_rtstruct."viewer_url", - SUM(seg_rtstruct."instance_size") / 1024 AS "collection_size_KB" -FROM - seg_rtstruct -GROUP BY - seg_rtstruct."collection_id", - seg_rtstruct."SeriesInstanceUID", - seg_rtstruct."StudyInstanceUID", - seg_rtstruct."viewer_url" -ORDER BY - "collection_size_KB" DESC; +WITH seg_rtstruct AS + (SELECT "collection_id", + "StudyInstanceUID", + "SeriesInstanceUID", + CONCAT('https://viewer.imaging.datacommons.cancer.gov/viewer/', "StudyInstanceUID") AS "viewer_url", + "instance_size" + FROM "IDC"."IDC_V17"."DICOM_ALL" + WHERE "Modality" IN ('SEG', + 'RTSTRUCT') + AND "SOPClassUID" = '1.2.840.10008.5.1.4.1.1.66.4' + AND ARRAY_SIZE("ReferencedSeriesSequence") = 0 + AND ARRAY_SIZE("ReferencedImageSequence") = 0 + AND ARRAY_SIZE("SourceImageSequence") = 0) +SELECT seg_rtstruct."collection_id", + seg_rtstruct."SeriesInstanceUID", + seg_rtstruct."StudyInstanceUID", + seg_rtstruct."viewer_url", + SUM(seg_rtstruct."instance_size") / 1024 AS "collection_size_KB" +FROM seg_rtstruct +GROUP BY seg_rtstruct."collection_id", + seg_rtstruct."SeriesInstanceUID", + seg_rtstruct."StudyInstanceUID", + seg_rtstruct."viewer_url" +ORDER BY "collection_size_KB" DESC; diff --git a/spider2/queries/lite_sf_bq346.sql b/spider2/queries/lite_sf_bq346.sql index af1a427a08cd6678d1b83d76e71289ae7fb966c3..c1cd01603c7eb8a486ec7eba848418cf3b18beb1 100644 --- a/spider2/queries/lite_sf_bq346.sql +++ b/spider2/queries/lite_sf_bq346.sql @@ -1,47 +1,25 @@ -WITH - sampled_sops AS ( - SELECT - "collection_id", - "SeriesDescription", - "SeriesInstanceUID", - "SOPInstanceUID" AS "seg_SOPInstanceUID", - COALESCE( - "ReferencedSeriesSequence"[0]."ReferencedInstanceSequence"[0]."ReferencedSOPInstanceUID", - "ReferencedImageSequence"[0]."ReferencedSOPInstanceUID", - "SourceImageSequence"[0]."ReferencedSOPInstanceUID" - ) AS "referenced_sop" - FROM - "IDC"."IDC_V17"."DICOM_ALL" - WHERE - "Modality" = 'SEG' - AND "SOPClassUID" = '1.2.840.10008.5.1.4.1.1.66.4' - AND "access" = 'Public' - ), - segmentations_data AS ( - SELECT - dicom_all."collection_id", - dicom_all."PatientID", - dicom_all."SOPInstanceUID", - REPLACE(segmentations."SegmentedPropertyCategory":CodeMeaning::STRING, '"', '') AS "segmentation_category", - REPLACE(segmentations."SegmentedPropertyType":CodeMeaning::STRING, '"', '') AS "segmentation_type" - FROM - sampled_sops - JOIN - "IDC"."IDC_V17"."DICOM_ALL" AS dicom_all - ON - sampled_sops."referenced_sop" = dicom_all."SOPInstanceUID" - JOIN - "IDC"."IDC_V17"."SEGMENTATIONS" AS segmentations - ON - segmentations."SOPInstanceUID" = sampled_sops."seg_SOPInstanceUID" - ) -SELECT - "segmentation_category", - COUNT(*) AS "count_" -FROM - segmentations_data -GROUP BY - "segmentation_category" -ORDER BY - "count_" DESC +WITH sampled_sops AS + (SELECT "collection_id", + "SeriesDescription", + "SeriesInstanceUID", + "SOPInstanceUID" AS "seg_SOPInstanceUID", + COALESCE("ReferencedSeriesSequence"[0]."ReferencedInstanceSequence"[0]."ReferencedSOPInstanceUID", "ReferencedImageSequence"[0]."ReferencedSOPInstanceUID", "SourceImageSequence"[0]."ReferencedSOPInstanceUID") AS "referenced_sop" + FROM "IDC"."IDC_V17"."DICOM_ALL" + WHERE "Modality" = 'SEG' + AND "SOPClassUID" = '1.2.840.10008.5.1.4.1.1.66.4' + AND "access" = 'Public'), + segmentations_data AS + (SELECT dicom_all."collection_id", + dicom_all."PatientID", + dicom_all."SOPInstanceUID", + REPLACE(segmentations."SegmentedPropertyCategory":CodeMeaning::STRING, '"', '') AS "segmentation_category", + REPLACE(segmentations."SegmentedPropertyType":CodeMeaning::STRING, '"', '') AS "segmentation_type" + FROM sampled_sops + JOIN "IDC"."IDC_V17"."DICOM_ALL" AS dicom_all ON sampled_sops."referenced_sop" = dicom_all."SOPInstanceUID" + JOIN "IDC"."IDC_V17"."SEGMENTATIONS" AS segmentations ON segmentations."SOPInstanceUID" = sampled_sops."seg_SOPInstanceUID") +SELECT "segmentation_category", + COUNT(*) AS "count_" +FROM segmentations_data +GROUP BY "segmentation_category" +ORDER BY "count_" DESC LIMIT 5; diff --git a/spider2/queries/lite_sf_bq347.sql b/spider2/queries/lite_sf_bq347.sql index 45a6e3c9e27f1e5bbe2693863eeeb930134f7f29..12265f277d3ac4d16aeff684fac397a32eeed0c5 100644 --- a/spider2/queries/lite_sf_bq347.sql +++ b/spider2/queries/lite_sf_bq347.sql @@ -1,38 +1,18 @@ -WITH union_mr_seg AS ( - SELECT - "dicom_all_mr"."SOPInstanceUID", - '' AS "segPropertyTypeCodeMeaning", - '' AS "segPropertyCategoryCodeMeaning" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS "dicom_all_mr" - WHERE - "dicom_all_mr"."SeriesInstanceUID" IN ('1.3.6.1.4.1.14519.5.2.1.3671.4754.105976129314091491952445656147') - - UNION ALL - - SELECT - "dicom_all_seg"."SOPInstanceUID", - "segmentations"."SegmentedPropertyType":"CodeMeaning" AS "segPropertyTypeCodeMeaning", - "segmentations"."SegmentedPropertyCategory":"CodeMeaning" AS "segPropertyCategoryCodeMeaning" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS "dicom_all_seg" - JOIN - "IDC"."IDC_V17"."SEGMENTATIONS" AS "segmentations" - ON - "dicom_all_seg"."SOPInstanceUID" = "segmentations"."SOPInstanceUID" -) - -SELECT - "dc_all"."Modality", - COUNT(*) AS "count_" -FROM - "IDC"."IDC_V17"."DICOM_ALL" AS "dc_all" -INNER JOIN - union_mr_seg -ON - "dc_all"."SOPInstanceUID" = union_mr_seg."SOPInstanceUID" -GROUP BY - "dc_all"."Modality" -ORDER BY - "count_" DESC +WITH union_mr_seg AS + (SELECT "dicom_all_mr"."SOPInstanceUID", + '' AS "segPropertyTypeCodeMeaning", + '' AS "segPropertyCategoryCodeMeaning" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS "dicom_all_mr" + WHERE "dicom_all_mr"."SeriesInstanceUID" IN ('1.3.6.1.4.1.14519.5.2.1.3671.4754.105976129314091491952445656147') + UNION ALL SELECT "dicom_all_seg"."SOPInstanceUID", + "segmentations"."SegmentedPropertyType":"CodeMeaning" AS "segPropertyTypeCodeMeaning", + "segmentations"."SegmentedPropertyCategory":"CodeMeaning" AS "segPropertyCategoryCodeMeaning" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS "dicom_all_seg" + JOIN "IDC"."IDC_V17"."SEGMENTATIONS" AS "segmentations" ON "dicom_all_seg"."SOPInstanceUID" = "segmentations"."SOPInstanceUID") +SELECT "dc_all"."Modality", + COUNT(*) AS "count_" +FROM "IDC"."IDC_V17"."DICOM_ALL" AS "dc_all" +INNER JOIN union_mr_seg ON "dc_all"."SOPInstanceUID" = union_mr_seg."SOPInstanceUID" +GROUP BY "dc_all"."Modality" +ORDER BY "count_" DESC LIMIT 1; diff --git a/spider2/queries/lite_sf_bq349.sql b/spider2/queries/lite_sf_bq349.sql index 2049544f99f62b6abfd50caf6b4d512f5935fe4a..9df1efed85966a66808cebdd33b731c4bf4be4c9 100644 --- a/spider2/queries/lite_sf_bq349.sql +++ b/spider2/queries/lite_sf_bq349.sql @@ -1,56 +1,37 @@ -WITH bounding_area AS ( - SELECT - "osm_id", - "geometry" AS geometry, - ST_AREA(ST_GEOGRAPHYFROMWKB("geometry")) AS area - FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES, - LATERAL FLATTEN(INPUT => PLANET_FEATURES."all_tags") AS "tag" - WHERE - "feature_type" = 'multipolygons' - AND "tag".value:"key" = 'boundary' - AND "tag".value:"value" = 'administrative' -), - -poi AS ( - SELECT - nodes."id" AS poi_id, - nodes."geometry" AS poi_geometry, - tags.value:"value" AS poitype - FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_NODES AS nodes, - LATERAL FLATTEN(INPUT => nodes."all_tags") AS tags - WHERE tags.value:"key" = 'amenity' -), - -poi_counts AS ( - SELECT - ba."osm_id", - COUNT(poi.poi_id) AS total_pois - FROM bounding_area ba - JOIN poi - ON ST_DWITHIN( - ST_GEOGRAPHYFROMWKB(ba.geometry), - ST_GEOGRAPHYFROMWKB(poi.poi_geometry), - 0.0 - ) - GROUP BY ba."osm_id" -), - -median_value AS ( - SELECT - PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY total_pois) AS median_pois - FROM poi_counts -), - -closest_to_median AS ( - SELECT - "osm_id", - total_pois, - ABS(total_pois - (SELECT median_pois FROM median_value)) AS diff_from_median - FROM poi_counts -) - -SELECT - "osm_id" +WITH bounding_area AS + (SELECT "osm_id", + "geometry" AS geometry, + ST_AREA(ST_GEOGRAPHYFROMWKB("geometry")) AS area + FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES, + LATERAL FLATTEN(INPUT => PLANET_FEATURES."all_tags") AS "tag" + WHERE "feature_type" = 'multipolygons' + AND "tag".value:"key" = 'boundary' + AND "tag".value:"value" = 'administrative'), + poi AS + (SELECT nodes."id" AS poi_id, + nodes."geometry" AS poi_geometry, + tags.value:"value" AS poitype + FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_NODES AS nodes, + LATERAL FLATTEN(INPUT => nodes."all_tags") AS tags + WHERE tags.value:"key" = 'amenity'), + poi_counts AS + (SELECT ba."osm_id", + COUNT(poi.poi_id) AS total_pois + FROM bounding_area ba + JOIN poi ON ST_DWITHIN(ST_GEOGRAPHYFROMWKB(ba.geometry), ST_GEOGRAPHYFROMWKB(poi.poi_geometry), 0.0) + GROUP BY ba."osm_id"), + median_value AS + (SELECT PERCENTILE_CONT(0.5) WITHIN GROUP ( + ORDER BY total_pois) AS median_pois + FROM poi_counts), + closest_to_median AS + (SELECT "osm_id", + total_pois, + ABS(total_pois - + (SELECT median_pois + FROM median_value)) AS diff_from_median + FROM poi_counts) +SELECT "osm_id" FROM closest_to_median ORDER BY diff_from_median LIMIT 1; diff --git a/spider2/queries/lite_sf_bq358.sql b/spider2/queries/lite_sf_bq358.sql index 72a2aa44ef1c019658a5edb9e8ac7a81becacb87..cbc5411f4b8c6e01e3d4a5566f7d3dbe7d82f44b 100644 --- a/spider2/queries/lite_sf_bq358.sql +++ b/spider2/queries/lite_sf_bq358.sql @@ -1,26 +1,12 @@ -SELECT - "ZIPSTART"."zip_code" AS zip_code_start, - "ZIPEND"."zip_code" AS zip_code_end -FROM - "NEW_YORK_CITIBIKE_1"."NEW_YORK_CITIBIKE"."CITIBIKE_TRIPS" AS "TRI" -INNER JOIN - "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" AS "ZIPSTART" - ON ST_WITHIN( - ST_POINT("TRI"."start_station_longitude", "TRI"."start_station_latitude"), - ST_GEOGFROMWKB("ZIPSTART"."zip_code_geom") - ) -INNER JOIN - "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" AS "ZIPEND" - ON ST_WITHIN( - ST_POINT("TRI"."end_station_longitude", "TRI"."end_station_latitude"), - ST_GEOGFROMWKB("ZIPEND"."zip_code_geom") - ) -INNER JOIN - "NEW_YORK_CITIBIKE_1"."NOAA_GSOD"."GSOD2015" AS "WEA" - ON TO_DATE(TO_CHAR("WEA"."year") || LPAD(TO_CHAR("WEA"."mo"), 2, '0') || LPAD(TO_CHAR("WEA"."da"), 2, '0'), 'YYYYMMDD') = DATE_TRUNC('DAY', TO_TIMESTAMP_NTZ(TO_NUMBER("TRI"."starttime") / 1000000)) -WHERE - "WEA"."wban" = '94728' - AND DATE_TRUNC('DAY', TO_TIMESTAMP_NTZ(TO_NUMBER("TRI"."starttime") / 1000000)) = DATE '2015-07-15' -ORDER BY - "WEA"."temp" DESC, "ZIPSTART"."zip_code" ASC, "ZIPEND"."zip_code" DESC +SELECT "ZIPSTART"."zip_code" AS zip_code_start, + "ZIPEND"."zip_code" AS zip_code_end +FROM "NEW_YORK_CITIBIKE_1"."NEW_YORK_CITIBIKE"."CITIBIKE_TRIPS" AS "TRI" +INNER JOIN "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" AS "ZIPSTART" ON ST_WITHIN(ST_POINT("TRI"."start_station_longitude", "TRI"."start_station_latitude"), ST_GEOGFROMWKB("ZIPSTART"."zip_code_geom")) +INNER JOIN "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" AS "ZIPEND" ON ST_WITHIN(ST_POINT("TRI"."end_station_longitude", "TRI"."end_station_latitude"), ST_GEOGFROMWKB("ZIPEND"."zip_code_geom")) +INNER JOIN "NEW_YORK_CITIBIKE_1"."NOAA_GSOD"."GSOD2015" AS "WEA" ON TO_DATE(TO_CHAR("WEA"."year") || LPAD(TO_CHAR("WEA"."mo"), 2, '0') || LPAD(TO_CHAR("WEA"."da"), 2, '0'), 'YYYYMMDD') = DATE_TRUNC('DAY', TO_TIMESTAMP_NTZ(TO_NUMBER("TRI"."starttime") / 1000000)) +WHERE "WEA"."wban" = '94728' + AND DATE_TRUNC('DAY', TO_TIMESTAMP_NTZ(TO_NUMBER("TRI"."starttime") / 1000000)) = DATE '2015-07-15' +ORDER BY "WEA"."temp" DESC, + "ZIPSTART"."zip_code" ASC, + "ZIPEND"."zip_code" DESC LIMIT 1; diff --git a/spider2/queries/lite_sf_bq359.sql b/spider2/queries/lite_sf_bq359.sql index ec1859e34ce8e1beaa3f5b35193c7ebd82506be0..cf5a026f28b59d96599ffecff420af7e581c6395 100644 --- a/spider2/queries/lite_sf_bq359.sql +++ b/spider2/queries/lite_sf_bq359.sql @@ -1,44 +1,27 @@ -WITH repositories AS ( - SELECT - t2."repo_name", - t2."language" - FROM ( - SELECT - t1."repo_name", - t1."language", - RANK() OVER (PARTITION BY t1."repo_name" ORDER BY t1."language_bytes" DESC) AS "rank" - FROM ( - SELECT - l."repo_name", +WITH repositories AS + (SELECT t2."repo_name", + t2."language" + FROM + (SELECT t1."repo_name", + t1."language", + RANK() OVER (PARTITION BY t1."repo_name" + ORDER BY t1."language_bytes" DESC) AS "rank" + FROM + (SELECT l."repo_name", lang.value:"name"::STRING AS "language", - lang.value:"bytes"::NUMBER AS "language_bytes" - FROM - GITHUB_REPOS.GITHUB_REPOS.LANGUAGES AS l, - LATERAL FLATTEN(input => l."language") AS lang - ) AS t1 - ) AS t2 - WHERE t2."rank" = 1 -), -python_repo AS ( - SELECT - "repo_name", - "language" - FROM - repositories - WHERE - "language" = 'JavaScript' -) -SELECT - sc."repo_name", - COUNT(sc."commit") AS "num_commits" -FROM - GITHUB_REPOS.GITHUB_REPOS.SAMPLE_COMMITS AS sc -INNER JOIN - python_repo -ON - python_repo."repo_name" = sc."repo_name" -GROUP BY - sc."repo_name" -ORDER BY - "num_commits" DESC + lang.value:"bytes"::NUMBER AS "language_bytes" + FROM GITHUB_REPOS.GITHUB_REPOS.LANGUAGES AS l, + LATERAL FLATTEN(INPUT => l."language") AS lang) AS t1) AS t2 + WHERE t2."rank" = 1), + python_repo AS + (SELECT "repo_name", + "language" + FROM repositories + WHERE "language" = 'JavaScript') +SELECT sc."repo_name", + COUNT(sc."commit") AS "num_commits" +FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_COMMITS AS sc +INNER JOIN python_repo ON python_repo."repo_name" = sc."repo_name" +GROUP BY sc."repo_name" +ORDER BY "num_commits" DESC LIMIT 2; diff --git a/spider2/queries/lite_sf_bq377.sql b/spider2/queries/lite_sf_bq377.sql index 0c18531b9ba597834486aa0fb1920bf7056642f5..545aba16c268e315143fd1784876846ef4b07dbe 100644 --- a/spider2/queries/lite_sf_bq377.sql +++ b/spider2/queries/lite_sf_bq377.sql @@ -1,25 +1,14 @@ -WITH json_files AS ( - SELECT - c."id", - TRY_PARSE_JSON(c."content"):"require" AS "dependencies" - FROM - GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS c -), -package_names AS ( - SELECT - f.key AS "package_name" - FROM - json_files, - LATERAL FLATTEN(input => "dependencies") AS f -) -SELECT - "package_name", - COUNT(*) AS "count" -FROM - package_names -WHERE - "package_name" IS NOT NULL -GROUP BY - "package_name" -ORDER BY - "count" DESC; +WITH json_files AS + (SELECT c."id", + TRY_PARSE_JSON(c."content"):"require" AS "dependencies" + FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS c), + package_names AS + (SELECT f.key AS "package_name" + FROM json_files, + LATERAL FLATTEN(INPUT => "dependencies") AS f) +SELECT "package_name", + COUNT(*) AS "count" +FROM package_names +WHERE "package_name" IS NOT NULL +GROUP BY "package_name" +ORDER BY "count" DESC; diff --git a/spider2/queries/lite_sf_bq390.sql b/spider2/queries/lite_sf_bq390.sql index 4fa892656f7d8a322fbfe5433e3279f5562921e9..345d8d32964a2204b0fa89c3b8119fba9964983c 100644 --- a/spider2/queries/lite_sf_bq390.sql +++ b/spider2/queries/lite_sf_bq390.sql @@ -1,36 +1,17 @@ -WITH --- Studies that have MR volumes -"mr_studies" AS ( - SELECT - "dicom_all_mr"."StudyInstanceUID" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS "dicom_all_mr" - WHERE - "Modality" = 'MR' - AND "collection_id" = 'qin_prostate_repeatability' - AND CONTAINS("SeriesDescription", 'T2 Weighted Axial') -), - -"seg_studies" AS ( - SELECT - "dicom_all_seg"."StudyInstanceUID" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS "dicom_all_seg" - JOIN - "IDC"."IDC_V17"."SEGMENTATIONS" AS "segmentations" - ON - "dicom_all_seg"."SOPInstanceUID" = "segmentations"."SOPInstanceUID" - WHERE - "collection_id" = 'qin_prostate_repeatability' - AND CONTAINS("segmentations"."SegmentedPropertyType":"CodeMeaning", 'Peripheral zone') - AND "segmentations"."SegmentedPropertyCategory":"CodeMeaning" = 'Anatomical Structure' -) - -SELECT DISTINCT - "mr_studies"."StudyInstanceUID" -FROM - "mr_studies" -JOIN - "seg_studies" -ON - "mr_studies"."StudyInstanceUID" = "seg_studies"."StudyInstanceUID"; +WITH -- Studies that have MR volumes +"mr_studies" AS + (SELECT "dicom_all_mr"."StudyInstanceUID" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS "dicom_all_mr" + WHERE "Modality" = 'MR' + AND "collection_id" = 'qin_prostate_repeatability' + AND CONTAINS("SeriesDescription", 'T2 Weighted Axial')), + "seg_studies" AS + (SELECT "dicom_all_seg"."StudyInstanceUID" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS "dicom_all_seg" + JOIN "IDC"."IDC_V17"."SEGMENTATIONS" AS "segmentations" ON "dicom_all_seg"."SOPInstanceUID" = "segmentations"."SOPInstanceUID" + WHERE "collection_id" = 'qin_prostate_repeatability' + AND CONTAINS("segmentations"."SegmentedPropertyType":"CodeMeaning", 'Peripheral zone') + AND "segmentations"."SegmentedPropertyCategory":"CodeMeaning" = 'Anatomical Structure') +SELECT DISTINCT "mr_studies"."StudyInstanceUID" +FROM "mr_studies" +JOIN "seg_studies" ON "mr_studies"."StudyInstanceUID" = "seg_studies"."StudyInstanceUID"; diff --git a/spider2/queries/lite_sf_bq412.sql b/spider2/queries/lite_sf_bq412.sql index be1dbee3b86f809f672cf40e589981d1b01da7d6..910c2f3a9a74b2a1194e5f3364868348dad244e1 100644 --- a/spider2/queries/lite_sf_bq412.sql +++ b/spider2/queries/lite_sf_bq412.sql @@ -1,26 +1,20 @@ -SELECT - "creative_page_url", - TO_TIMESTAMP(GET("region_stat".value, 'first_shown')) AS "first_shown", - TO_TIMESTAMP(GET("region_stat".value, 'last_shown')) AS "last_shown", - REPLACE(REPLACE("disapproval"[0]."removal_reason", '""', '"'), '"', '') AS "removal_reason", - REPLACE(REPLACE("disapproval"[0]."violation_category", '""', '"'), '"', '') AS "violation_category", - GET("region_stat".value, 'times_shown_lower_bound') AS "times_shown_lower", - GET("region_stat".value, 'times_shown_upper_bound') AS "times_shown_upper" -FROM - "GOOGLE_ADS"."GOOGLE_ADS_TRANSPARENCY_CENTER"."REMOVED_CREATIVE_STATS", - LATERAL FLATTEN(input => "region_stats") AS "region_stat" -WHERE - GET("region_stat".value, 'region_code') = 'HR' - AND GET("region_stat".value, 'times_shown_availability_date') IS NULL - AND GET("region_stat".value, 'times_shown_lower_bound') > 10000 - AND GET("region_stat".value, 'times_shown_upper_bound') < 25000 - AND ( - GET("audience_selection_approach_info", 'demographic_info') != 'CRITERIA_UNUSED' - OR GET("audience_selection_approach_info", 'geo_location') != 'CRITERIA_UNUSED' - OR GET("audience_selection_approach_info", 'contextual_signals') != 'CRITERIA_UNUSED' - OR GET("audience_selection_approach_info", 'customer_lists') != 'CRITERIA_UNUSED' - OR GET("audience_selection_approach_info", 'topics_of_interest') != 'CRITERIA_UNUSED' - ) -ORDER BY - "last_shown" DESC +SELECT "creative_page_url", + TO_TIMESTAMP(GET("region_stat".value, 'first_shown')) AS "first_shown", + TO_TIMESTAMP(GET("region_stat".value, 'last_shown')) AS "last_shown", + REPLACE(REPLACE("disapproval"[0]."removal_reason", '""', '"'), '"', '') AS "removal_reason", + REPLACE(REPLACE("disapproval"[0]."violation_category", '""', '"'), '"', '') AS "violation_category", + GET("region_stat".value, 'times_shown_lower_bound') AS "times_shown_lower", + GET("region_stat".value, 'times_shown_upper_bound') AS "times_shown_upper" +FROM "GOOGLE_ADS"."GOOGLE_ADS_TRANSPARENCY_CENTER"."REMOVED_CREATIVE_STATS", + LATERAL FLATTEN(INPUT => "region_stats") AS "region_stat" +WHERE GET("region_stat".value, 'region_code') = 'HR' + AND GET("region_stat".value, 'times_shown_availability_date') IS NULL + AND GET("region_stat".value, 'times_shown_lower_bound') > 10000 + AND GET("region_stat".value, 'times_shown_upper_bound') < 25000 + AND (GET("audience_selection_approach_info", 'demographic_info') != 'CRITERIA_UNUSED' + OR GET("audience_selection_approach_info", 'geo_location') != 'CRITERIA_UNUSED' + OR GET("audience_selection_approach_info", 'contextual_signals') != 'CRITERIA_UNUSED' + OR GET("audience_selection_approach_info", 'customer_lists') != 'CRITERIA_UNUSED' + OR GET("audience_selection_approach_info", 'topics_of_interest') != 'CRITERIA_UNUSED') +ORDER BY "last_shown" DESC LIMIT 5; diff --git a/spider2/queries/lite_sf_bq421.sql b/spider2/queries/lite_sf_bq421.sql index bd4bb8265af1b073d5b0d52c6a864c96b2f5a52c..4c6d0e61f0740cf4449f4d8c7f9d6b50c18964ab 100644 --- a/spider2/queries/lite_sf_bq421.sql +++ b/spider2/queries/lite_sf_bq421.sql @@ -1,66 +1,47 @@ -WITH - SpecimenPreparationSequence_unnested AS ( - SELECT - d."SOPInstanceUID", - concept_name_code_sequence.value:"CodeMeaning"::STRING AS "cnc_cm", - concept_name_code_sequence.value:"CodingSchemeDesignator"::STRING AS "cnc_csd", - concept_name_code_sequence.value:"CodeValue"::STRING AS "cnc_val", - concept_code_sequence.value:"CodeMeaning"::STRING AS "ccs_cm", - concept_code_sequence.value:"CodingSchemeDesignator"::STRING AS "ccs_csd", - concept_code_sequence.value:"CodeValue"::STRING AS "ccs_val" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS d, - LATERAL FLATTEN(input => d."SpecimenDescriptionSequence") AS spec_desc, - LATERAL FLATTEN(input => spec_desc.value:"SpecimenPreparationSequence") AS prep_seq, - LATERAL FLATTEN(input => prep_seq.value:"SpecimenPreparationStepContentItemSequence") AS prep_step, - LATERAL FLATTEN(input => prep_step.value:"ConceptNameCodeSequence") AS concept_name_code_sequence, - LATERAL FLATTEN(input => prep_step.value:"ConceptCodeSequence") AS concept_code_sequence - ), - slide_embedding AS ( - SELECT - "SOPInstanceUID", - ARRAY_AGG(DISTINCT(CONCAT("ccs_cm", ':', "ccs_csd", ':', "ccs_val"))) AS "embeddingMedium_code_str" - FROM - SpecimenPreparationSequence_unnested - WHERE - "cnc_csd" = 'SCT' AND "cnc_val" = '430863003' -- CodeMeaning is 'Embedding medium' - GROUP BY - "SOPInstanceUID" - ), - slide_staining AS ( - SELECT - "SOPInstanceUID", - ARRAY_AGG(DISTINCT(CONCAT("ccs_cm", ':', "ccs_csd", ':', "ccs_val"))) AS "staining_usingSubstance_code_str" - FROM - SpecimenPreparationSequence_unnested - WHERE - "cnc_csd" = 'SCT' AND "cnc_val" = '424361007' -- CodeMeaning is 'Using substance' - GROUP BY - "SOPInstanceUID" - ), - embedding_data AS ( - SELECT - d."SOPInstanceUID", - d."instance_size", - e."embeddingMedium_code_str", - s."staining_usingSubstance_code_str" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS d - LEFT JOIN - slide_embedding AS e ON d."SOPInstanceUID" = e."SOPInstanceUID" - LEFT JOIN - slide_staining AS s ON d."SOPInstanceUID" = s."SOPInstanceUID" - WHERE - d."Modality" = 'SM' - ) -SELECT - SPLIT_PART(embeddingMedium_CodeMeaning_flat.VALUE::STRING, ':', 1) AS "embeddingMedium_CodeMeaning", - SPLIT_PART(staining_usingSubstance_CodeMeaning_flat.VALUE::STRING, ':', 1) AS "staining_usingSubstance_CodeMeaning", - COUNT(*) AS "count_" -FROM - embedding_data - , LATERAL FLATTEN(input => embedding_data."embeddingMedium_code_str") AS embeddingMedium_CodeMeaning_flat - , LATERAL FLATTEN(input => embedding_data."staining_usingSubstance_code_str") AS staining_usingSubstance_CodeMeaning_flat -GROUP BY - SPLIT_PART(embeddingMedium_CodeMeaning_flat.VALUE::STRING, ':', 1), - SPLIT_PART(staining_usingSubstance_CodeMeaning_flat.VALUE::STRING, ':', 1); +WITH SpecimenPreparationSequence_unnested AS + (SELECT d."SOPInstanceUID", + concept_name_code_sequence.value:"CodeMeaning"::STRING AS "cnc_cm", + concept_name_code_sequence.value:"CodingSchemeDesignator"::STRING AS "cnc_csd", + concept_name_code_sequence.value:"CodeValue"::STRING AS "cnc_val", + concept_code_sequence.value:"CodeMeaning"::STRING AS "ccs_cm", + concept_code_sequence.value:"CodingSchemeDesignator"::STRING AS "ccs_csd", + concept_code_sequence.value:"CodeValue"::STRING AS "ccs_val" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS d, + LATERAL FLATTEN(INPUT => d."SpecimenDescriptionSequence") AS spec_desc, + LATERAL FLATTEN(INPUT => spec_desc.value:"SpecimenPreparationSequence") AS prep_seq, + LATERAL FLATTEN(INPUT => prep_seq.value:"SpecimenPreparationStepContentItemSequence") AS prep_step, + LATERAL FLATTEN(INPUT => prep_step.value:"ConceptNameCodeSequence") AS concept_name_code_sequence, + LATERAL FLATTEN(INPUT => prep_step.value:"ConceptCodeSequence") AS concept_code_sequence), + slide_embedding AS + (SELECT "SOPInstanceUID", + ARRAY_AGG(DISTINCT(CONCAT("ccs_cm", ':', "ccs_csd", ':', "ccs_val"))) AS "embeddingMedium_code_str" + FROM SpecimenPreparationSequence_unnested + WHERE "cnc_csd" = 'SCT' + AND "cnc_val" = '430863003' -- CodeMeaning is 'Embedding medium' + + GROUP BY "SOPInstanceUID"), + slide_staining AS + (SELECT "SOPInstanceUID", + ARRAY_AGG(DISTINCT(CONCAT("ccs_cm", ':', "ccs_csd", ':', "ccs_val"))) AS "staining_usingSubstance_code_str" + FROM SpecimenPreparationSequence_unnested + WHERE "cnc_csd" = 'SCT' + AND "cnc_val" = '424361007' -- CodeMeaning is 'Using substance' + + GROUP BY "SOPInstanceUID"), + embedding_data AS + (SELECT d."SOPInstanceUID", + d."instance_size", + e."embeddingMedium_code_str", + s."staining_usingSubstance_code_str" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS d + LEFT JOIN slide_embedding AS e ON d."SOPInstanceUID" = e."SOPInstanceUID" + LEFT JOIN slide_staining AS s ON d."SOPInstanceUID" = s."SOPInstanceUID" + WHERE d."Modality" = 'SM') +SELECT SPLIT_PART(embeddingMedium_CodeMeaning_flat.VALUE::STRING, ':', 1) AS "embeddingMedium_CodeMeaning", + SPLIT_PART(staining_usingSubstance_CodeMeaning_flat.VALUE::STRING, ':', 1) AS "staining_usingSubstance_CodeMeaning", + COUNT(*) AS "count_" +FROM embedding_data , + LATERAL FLATTEN(INPUT => embedding_data."embeddingMedium_code_str") AS embeddingMedium_CodeMeaning_flat , + LATERAL FLATTEN(INPUT => embedding_data."staining_usingSubstance_code_str") AS staining_usingSubstance_CodeMeaning_flat +GROUP BY SPLIT_PART(embeddingMedium_CodeMeaning_flat.VALUE::STRING, ':', 1), + SPLIT_PART(staining_usingSubstance_CodeMeaning_flat.VALUE::STRING, ':', 1); diff --git a/spider2/queries/lite_sf_bq422.sql b/spider2/queries/lite_sf_bq422.sql index 18568a63b0260fd7584c1871c0f215cbe02a8a98..94b6897cb800974a13618904be5f4bf7a16c5dd9 100644 --- a/spider2/queries/lite_sf_bq422.sql +++ b/spider2/queries/lite_sf_bq422.sql @@ -1,87 +1,61 @@ -WITH - nonLocalizerRawData AS ( - SELECT - "SeriesInstanceUID", - "StudyInstanceUID", - "PatientID", - TRY_CAST("Exposure"::STRING AS FLOAT) AS "Exposure", -- 直接从 bid 获取 Exposure - TRY_CAST(axes.VALUE::STRING AS FLOAT) AS "zImagePosition", - LEAD(TRY_CAST(axes.VALUE::STRING AS FLOAT)) OVER ( - PARTITION BY "SeriesInstanceUID" - ORDER BY TRY_CAST(axes.VALUE::STRING AS FLOAT) - ) - TRY_CAST(axes.VALUE::STRING AS FLOAT) AS "slice_interval", - "instance_size" AS "instanceSize" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS "bid", - LATERAL FLATTEN(input => "bid"."ImagePositionPatient") AS axes -- 使用 LATERAL FLATTEN 展开数组 - WHERE - "collection_id" = 'nlst' - AND "Modality" = 'CT' - ), - geometryChecks AS ( - SELECT - "SeriesInstanceUID", - "StudyInstanceUID", - "PatientID", - ARRAY_AGG(DISTINCT "slice_interval") AS "sliceIntervalDifferences", - ARRAY_AGG(DISTINCT "Exposure") AS "distinctExposures", - SUM("instanceSize") / 1024 / 1024 AS "seriesSizeInMB" - FROM - nonLocalizerRawData - GROUP BY - "SeriesInstanceUID", - "StudyInstanceUID", - "PatientID" - ), - patientMetrics AS ( - SELECT - "PatientID", - MAX(TRY_CAST(sid.VALUE::STRING AS FLOAT)) AS "maxSliceIntervalDifference", - MIN(TRY_CAST(sid.VALUE::STRING AS FLOAT)) AS "minSliceIntervalDifference", - MAX(TRY_CAST(sid.VALUE::STRING AS FLOAT)) - MIN(TRY_CAST(sid.VALUE::STRING AS FLOAT)) AS "sliceIntervalDifferenceTolerance", - MAX(TRY_CAST(de.VALUE::STRING AS FLOAT)) AS "maxExposure", - MIN(TRY_CAST(de.VALUE::STRING AS FLOAT)) AS "minExposure", - MAX(TRY_CAST(de.VALUE::STRING AS FLOAT)) - MIN(TRY_CAST(de.VALUE::STRING AS FLOAT)) AS "maxExposureDifference", - "seriesSizeInMB" - FROM - geometryChecks, - LATERAL FLATTEN(input => "sliceIntervalDifferences") AS sid, -- 展开 sliceIntervalDifferences - LATERAL FLATTEN(input => "distinctExposures") AS de -- 展开 distinctExposures - WHERE - sid.VALUE IS NOT NULL - AND de.VALUE IS NOT NULL - GROUP BY - "PatientID", - "seriesSizeInMB" - ), - top3BySliceInterval AS ( - SELECT - "PatientID", - "seriesSizeInMB" - FROM - patientMetrics - ORDER BY - "sliceIntervalDifferenceTolerance" DESC - LIMIT 3 - ), - top3ByMaxExposure AS ( - SELECT - "PatientID", - "seriesSizeInMB" - FROM - patientMetrics - ORDER BY - "maxExposureDifference" DESC - LIMIT 3 - ) -SELECT - 'Top 3 by Slice Interval' AS "MetricGroup", - AVG("seriesSizeInMB") AS "AverageSeriesSizeInMB" -FROM - top3BySliceInterval +WITH nonLocalizerRawData AS + (SELECT "SeriesInstanceUID", + "StudyInstanceUID", + "PatientID", + TRY_CAST("Exposure"::STRING AS FLOAT) AS "Exposure", -- 直接从 bid 获取 Exposure + TRY_CAST(axes.VALUE::STRING AS FLOAT) AS "zImagePosition", + LEAD(TRY_CAST(axes.VALUE::STRING AS FLOAT)) OVER (PARTITION BY "SeriesInstanceUID" + ORDER BY TRY_CAST(axes.VALUE::STRING AS FLOAT)) - TRY_CAST(axes.VALUE::STRING AS FLOAT) AS "slice_interval", + "instance_size" AS "instanceSize" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS "bid", + LATERAL FLATTEN(INPUT => "bid"."ImagePositionPatient") AS axes -- 使用 LATERAL FLATTEN 展开数组 + + WHERE "collection_id" = 'nlst' + AND "Modality" = 'CT'), + geometryChecks AS + (SELECT "SeriesInstanceUID", + "StudyInstanceUID", + "PatientID", + ARRAY_AGG(DISTINCT "slice_interval") AS "sliceIntervalDifferences", + ARRAY_AGG(DISTINCT "Exposure") AS "distinctExposures", + SUM("instanceSize") / 1024 / 1024 AS "seriesSizeInMB" + FROM nonLocalizerRawData + GROUP BY "SeriesInstanceUID", + "StudyInstanceUID", + "PatientID"), + patientMetrics AS + (SELECT "PatientID", + MAX(TRY_CAST(sid.VALUE::STRING AS FLOAT)) AS "maxSliceIntervalDifference", + MIN(TRY_CAST(sid.VALUE::STRING AS FLOAT)) AS "minSliceIntervalDifference", + MAX(TRY_CAST(sid.VALUE::STRING AS FLOAT)) - MIN(TRY_CAST(sid.VALUE::STRING AS FLOAT)) AS "sliceIntervalDifferenceTolerance", + MAX(TRY_CAST(de.VALUE::STRING AS FLOAT)) AS "maxExposure", + MIN(TRY_CAST(de.VALUE::STRING AS FLOAT)) AS "minExposure", + MAX(TRY_CAST(de.VALUE::STRING AS FLOAT)) - MIN(TRY_CAST(de.VALUE::STRING AS FLOAT)) AS "maxExposureDifference", + "seriesSizeInMB" + FROM geometryChecks, + LATERAL FLATTEN(INPUT => "sliceIntervalDifferences") AS sid, -- 展开 sliceIntervalDifferences + LATERAL FLATTEN(INPUT => "distinctExposures") AS de -- 展开 distinctExposures + + WHERE sid.VALUE IS NOT NULL + AND de.VALUE IS NOT NULL + GROUP BY "PatientID", + "seriesSizeInMB"), + top3BySliceInterval AS + (SELECT "PatientID", + "seriesSizeInMB" + FROM patientMetrics + ORDER BY "sliceIntervalDifferenceTolerance" DESC + LIMIT 3), + top3ByMaxExposure AS + (SELECT "PatientID", + "seriesSizeInMB" + FROM patientMetrics + ORDER BY "maxExposureDifference" DESC + LIMIT 3) +SELECT 'Top 3 by Slice Interval' AS "MetricGroup", + AVG("seriesSizeInMB") AS "AverageSeriesSizeInMB" +FROM top3BySliceInterval UNION ALL -SELECT - 'Top 3 by Max Exposure' AS "MetricGroup", - AVG("seriesSizeInMB") AS "AverageSeriesSizeInMB" -FROM - top3ByMaxExposure; +SELECT 'Top 3 by Max Exposure' AS "MetricGroup", + AVG("seriesSizeInMB") AS "AverageSeriesSizeInMB" +FROM top3ByMaxExposure; diff --git a/spider2/queries/lite_sf_bq429.sql b/spider2/queries/lite_sf_bq429.sql index caec3032385bbd4ba419ae7d5a9e450c6517cce7..9f920a0324b941c584ee59322a9433ea48026611 100644 --- a/spider2/queries/lite_sf_bq429.sql +++ b/spider2/queries/lite_sf_bq429.sql @@ -1,62 +1,32 @@ -WITH median_income_diff_by_zipcode AS ( - WITH acs_2018 AS ( - SELECT - "geo_id", - "median_income" AS "median_income_2018" - FROM - CENSUS_BUREAU_ACS_2.CENSUS_BUREAU_ACS."ZIP_CODES_2018_5YR" - ), - acs_2015 AS ( - SELECT - "geo_id", - "median_income" AS "median_income_2015" - FROM - CENSUS_BUREAU_ACS_2.CENSUS_BUREAU_ACS."ZIP_CODES_2015_5YR" - ), - acs_diff AS ( - SELECT - a18."geo_id", - (a18."median_income_2018" - a15."median_income_2015") AS "median_income_diff" - FROM - acs_2018 a18 - JOIN - acs_2015 a15 ON a18."geo_id" = a15."geo_id" - ) - SELECT - "geo_id", - AVG("median_income_diff") AS "avg_median_income_diff" - FROM - acs_diff - WHERE - "median_income_diff" IS NOT NULL - GROUP BY "geo_id" -), -base_census AS ( - SELECT - geo."state_name", - AVG(i."avg_median_income_diff") AS "avg_median_income_diff", - AVG( - "employed_wholesale_trade" * 0.38423645320197042 + - "occupation_natural_resources_construction_maintenance" * 0.48071410777129553 + - "employed_arts_entertainment_recreation_accommodation_food" * 0.89455676291236841 + - "employed_information" * 0.31315240083507306 + - "employed_retail_trade" * 0.51 - ) AS "avg_vulnerable" - FROM - CENSUS_BUREAU_ACS_2.CENSUS_BUREAU_ACS."ZIP_CODES_2017_5YR" AS census - JOIN - median_income_diff_by_zipcode i ON CAST(census."geo_id" AS STRING) = i."geo_id" - JOIN - CENSUS_BUREAU_ACS_2.GEO_US_BOUNDARIES."ZIP_CODES" geo ON census."geo_id" = geo."zip_code" - GROUP BY geo."state_name" -) - -SELECT - "state_name", - "avg_median_income_diff", - "avg_vulnerable" -FROM - base_census -ORDER BY - "avg_median_income_diff" DESC +WITH median_income_diff_by_zipcode AS + (WITH acs_2018 AS + (SELECT "geo_id", + "median_income" AS "median_income_2018" + FROM CENSUS_BUREAU_ACS_2.CENSUS_BUREAU_ACS."ZIP_CODES_2018_5YR"), + acs_2015 AS + (SELECT "geo_id", + "median_income" AS "median_income_2015" + FROM CENSUS_BUREAU_ACS_2.CENSUS_BUREAU_ACS."ZIP_CODES_2015_5YR"), + acs_diff AS + (SELECT a18."geo_id", + (a18."median_income_2018" - a15."median_income_2015") AS "median_income_diff" + FROM acs_2018 a18 + JOIN acs_2015 a15 ON a18."geo_id" = a15."geo_id") SELECT "geo_id", + AVG("median_income_diff") AS "avg_median_income_diff" + FROM acs_diff + WHERE "median_income_diff" IS NOT NULL + GROUP BY "geo_id"), + base_census AS + (SELECT geo."state_name", + AVG(i."avg_median_income_diff") AS "avg_median_income_diff", + AVG("employed_wholesale_trade" * 0.38423645320197042 + "occupation_natural_resources_construction_maintenance" * 0.48071410777129553 + "employed_arts_entertainment_recreation_accommodation_food" * 0.89455676291236841 + "employed_information" * 0.31315240083507306 + "employed_retail_trade" * 0.51) AS "avg_vulnerable" + FROM CENSUS_BUREAU_ACS_2.CENSUS_BUREAU_ACS."ZIP_CODES_2017_5YR" AS census + JOIN median_income_diff_by_zipcode i ON CAST(census."geo_id" AS STRING) = i."geo_id" + JOIN CENSUS_BUREAU_ACS_2.GEO_US_BOUNDARIES."ZIP_CODES" geo ON census."geo_id" = geo."zip_code" + GROUP BY geo."state_name") +SELECT "state_name", + "avg_median_income_diff", + "avg_vulnerable" +FROM base_census +ORDER BY "avg_median_income_diff" DESC LIMIT 5; diff --git a/spider2/queries/lite_sf_bq444.sql b/spider2/queries/lite_sf_bq444.sql index 5ce8034762ba31aa9ea81e439ab39bf400213043..2501f86cba04629bb50a25c87e56200222cc28d9 100644 --- a/spider2/queries/lite_sf_bq444.sql +++ b/spider2/queries/lite_sf_bq444.sql @@ -1,41 +1,31 @@ -WITH parsed_burn_logs AS ( - SELECT - logs."block_timestamp" AS block_timestamp, - logs."block_number" AS block_number, - logs."transaction_hash" AS transaction_hash, - logs."log_index" AS log_index, - PARSE_JSON(logs."data") AS data, - logs."topics" - FROM CRYPTO.CRYPTO_ETHEREUM.LOGS AS logs - WHERE logs."address" = '0x8ad599c3a0ff1de082011efddc58f1908eb6e6d8' - AND logs."topics"[0] = '0x0c396cd989a39f4459b5fa1aed6a9a8dcdbc45908acfd67e028cd568da98982c' -), -parsed_mint_logs AS ( - SELECT - logs."block_timestamp" AS block_timestamp, - logs."block_number" AS block_number, - logs."transaction_hash" AS transaction_hash, - logs."log_index" AS log_index, - PARSE_JSON(logs."data") AS data, - logs."topics" - FROM CRYPTO.CRYPTO_ETHEREUM.LOGS AS logs - WHERE logs."address" = '0x8ad599c3a0ff1de082011efddc58f1908eb6e6d8' - AND logs."topics"[0] = '0x7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde' -) - -SELECT - block_timestamp, - block_number, - transaction_hash +WITH parsed_burn_logs AS + (SELECT logs."block_timestamp" AS block_timestamp, + logs."block_number" AS block_number, + logs."transaction_hash" AS transaction_hash, + logs."log_index" AS log_index, + PARSE_JSON(logs."data") AS DATA, + logs."topics" + FROM CRYPTO.CRYPTO_ETHEREUM.LOGS AS logs + WHERE logs."address" = '0x8ad599c3a0ff1de082011efddc58f1908eb6e6d8' + AND logs."topics"[0] = '0x0c396cd989a39f4459b5fa1aed6a9a8dcdbc45908acfd67e028cd568da98982c'), + parsed_mint_logs AS + (SELECT logs."block_timestamp" AS block_timestamp, + logs."block_number" AS block_number, + logs."transaction_hash" AS transaction_hash, + logs."log_index" AS log_index, + PARSE_JSON(logs."data") AS DATA, + logs."topics" + FROM CRYPTO.CRYPTO_ETHEREUM.LOGS AS logs + WHERE logs."address" = '0x8ad599c3a0ff1de082011efddc58f1908eb6e6d8' + AND logs."topics"[0] = '0x7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde') +SELECT block_timestamp, + block_number, + transaction_hash FROM parsed_mint_logs - UNION ALL - -SELECT - block_timestamp, - block_number, - transaction_hash +SELECT block_timestamp, + block_number, + transaction_hash FROM parsed_burn_logs - ORDER BY block_timestamp LIMIT 5; diff --git a/spider2/queries/lite_sf_bq455.sql b/spider2/queries/lite_sf_bq455.sql index 1fabf045cdb2355335035d1e1890ef63df9c3289..1d66fb2a3b42c00682b933b13cf5926a0aca20e7 100644 --- a/spider2/queries/lite_sf_bq455.sql +++ b/spider2/queries/lite_sf_bq455.sql @@ -1,180 +1,132 @@ -WITH - -- Create a common table expression (CTE) named localizerAndJpegCompressedSeries - localizerAndJpegCompressedSeries AS ( - SELECT - "SeriesInstanceUID" - FROM - IDC.IDC_V17."DICOM_ALL" AS bid - WHERE - "ImageType" = 'LOCALIZER' OR - "TransferSyntaxUID" IN ('1.2.840.10008.1.2.4.70', '1.2.840.10008.1.2.4.51') - ), - - -- Create a common table expression (CTE) for x_vector calculation (first three elements) - imageOrientation AS ( - SELECT - "SeriesInstanceUID", - ARRAY_AGG(CAST(part.value AS FLOAT)) AS "x_vector" - FROM - IDC.IDC_V17."DICOM_ALL" AS bid, - LATERAL FLATTEN(input => bid."ImageOrientationPatient") AS part - WHERE - part.index BETWEEN 0 AND 2 - GROUP BY "SeriesInstanceUID" - ), - - -- Create a common table expression (CTE) for y_vector calculation (next three elements) - imageOrientationY AS ( - SELECT - "SeriesInstanceUID", - ARRAY_AGG(CAST(part.value AS FLOAT)) AS "y_vector" - FROM - IDC.IDC_V17."DICOM_ALL" AS bid, - LATERAL FLATTEN(input => bid."ImageOrientationPatient") AS part - WHERE - part.index BETWEEN 3 AND 5 - GROUP BY "SeriesInstanceUID" - ), - - -- Create a common table expression (CTE) named nonLocalizerRawData - nonLocalizerRawData AS ( - SELECT - bid."SeriesInstanceUID", -- Added table alias bid - bid."StudyInstanceUID", - bid."PatientID", - bid."SOPInstanceUID", - bid."SliceThickness", - bid."ImageType", - bid."TransferSyntaxUID", - bid."SeriesNumber", - bid."aws_bucket", - bid."crdc_series_uuid", - CAST(bid."Exposure" AS FLOAT) AS "Exposure", -- Use CAST directly - CAST(ipp.value AS FLOAT) AS "zImagePosition", -- Use CAST directly - CONCAT(ipp2.value, '/', ipp3.value) AS "xyImagePosition", - LEAD(CAST(ipp.value AS FLOAT)) OVER (PARTITION BY bid."SeriesInstanceUID" ORDER BY CAST(ipp.value AS FLOAT)) - CAST(ipp.value AS FLOAT) AS "slice_interval", - ARRAY_TO_STRING(bid."ImageOrientationPatient", '/') AS "iop", - bid."PixelSpacing", - bid."Rows" AS "pixelRows", - bid."Columns" AS "pixelColumns", - bid."instance_size" AS "instanceSize" - FROM - IDC.IDC_V17."DICOM_ALL" AS bid - LEFT JOIN LATERAL FLATTEN(input => bid."ImagePositionPatient") AS ipp - LEFT JOIN LATERAL FLATTEN(input => bid."ImagePositionPatient") AS ipp2 - LEFT JOIN LATERAL FLATTEN(input => bid."ImagePositionPatient") AS ipp3 - WHERE - bid."collection_id" != 'nlst' - AND bid."Modality" = 'CT' - AND ipp.index = 2 - AND ipp2.index = 0 - AND ipp3.index = 1 - AND bid."SeriesInstanceUID" NOT IN (SELECT "SeriesInstanceUID" FROM localizerAndJpegCompressedSeries) - ), - - -- Cross product calculation - crossProduct AS ( - SELECT - nld."SOPInstanceUID", -- Added table alias nld - nld."SeriesInstanceUID", -- Added table alias nld - OBJECT_CONSTRUCT( - 'x', ("x_vector"[1] * "y_vector"[2] - "x_vector"[2] * "y_vector"[1]), - 'y', ("x_vector"[2] * "y_vector"[0] - "x_vector"[0] * "y_vector"[2]), - 'z', ("x_vector"[0] * "y_vector"[1] - "x_vector"[1] * "y_vector"[0]) - ) AS "xyCrossProduct" - FROM - nonLocalizerRawData AS nld -- Added alias for nonLocalizerRawData - JOIN imageOrientation AS io ON nld."SeriesInstanceUID" = io."SeriesInstanceUID" - JOIN imageOrientationY AS ioy ON nld."SeriesInstanceUID" = ioy."SeriesInstanceUID" - ), - - -- Cross product elements extraction and row numbering - crossProductElements AS ( - SELECT - cp."SOPInstanceUID", - cp."SeriesInstanceUID", - elem.value, - ROW_NUMBER() OVER (PARTITION BY cp."SOPInstanceUID", cp."SeriesInstanceUID" ORDER BY elem.value) AS rn - FROM - crossProduct AS cp - -- Use LATERAL FLATTEN to explode the cross product object into individual 'x', 'y', and 'z' - JOIN LATERAL FLATTEN(input => ARRAY_CONSTRUCT( - cp."xyCrossProduct"['x'], - cp."xyCrossProduct"['y'], - cp."xyCrossProduct"['z'] - )) AS elem -- Simplified 'elem.value' reference here - ), - - -- Dot product calculation - dotProduct AS ( - SELECT - cpe."SOPInstanceUID", - cpe."SeriesInstanceUID", - SUM( - CASE - WHEN cpe.rn = 1 THEN cpe.value * 0 -- x * 0 - WHEN cpe.rn = 2 THEN cpe.value * 0 -- y * 0 - WHEN cpe.rn = 3 THEN cpe.value * 1 -- z * 1 - END - ) AS "xyDotProduct" - FROM - crossProductElements AS cpe - GROUP BY - cpe."SOPInstanceUID", - cpe."SeriesInstanceUID" - ), - - -- Geometry checks for series consistency - geometryChecks AS ( - SELECT - gc."SeriesInstanceUID", -- Added table alias gc - gc."SeriesNumber", - gc."aws_bucket", - gc."crdc_series_uuid", - gc."StudyInstanceUID", - gc."PatientID", - ARRAY_AGG(DISTINCT gc."slice_interval") AS "sliceIntervalDifferences", - ARRAY_AGG(DISTINCT gc."Exposure") AS "distinctExposures", - COUNT(DISTINCT gc."iop") AS "iopCount", - COUNT(DISTINCT gc."PixelSpacing") AS "pixelSpacingCount", - COUNT(DISTINCT gc."zImagePosition") AS "positionCount", - COUNT(DISTINCT gc."xyImagePosition") AS "xyPositionCount", - COUNT(DISTINCT gc."SOPInstanceUID") AS "sopInstanceCount", - COUNT(DISTINCT gc."SliceThickness") AS "sliceThicknessCount", - COUNT(DISTINCT gc."Exposure") AS "exposureCount", - COUNT(DISTINCT gc."pixelRows") AS "pixelRowCount", - COUNT(DISTINCT gc."pixelColumns") AS "pixelColumnCount", - dp."xyDotProduct", -- Added xyDotProduct from dotProduct - SUM(gc."instanceSize") / 1024 / 1024 AS "seriesSizeInMiB" - FROM - nonLocalizerRawData AS gc -- Added table alias gc - JOIN dotProduct AS dp ON gc."SeriesInstanceUID" = dp."SeriesInstanceUID" - AND gc."SOPInstanceUID" = dp."SOPInstanceUID" - GROUP BY - gc."SeriesInstanceUID", - gc."SeriesNumber", - gc."aws_bucket", - gc."crdc_series_uuid", - gc."StudyInstanceUID", - gc."PatientID", - dp."xyDotProduct" -- Include xyDotProduct in GROUP BY - HAVING - COUNT(DISTINCT gc."iop") = 1 - AND COUNT(DISTINCT gc."PixelSpacing") = 1 - AND COUNT(DISTINCT gc."SOPInstanceUID") = COUNT(DISTINCT gc."zImagePosition") - AND COUNT(DISTINCT gc."xyImagePosition") = 1 - AND COUNT(DISTINCT gc."pixelRows") = 1 - AND COUNT(DISTINCT gc."pixelColumns") = 1 - AND ABS(dp."xyDotProduct") BETWEEN 0.99 AND 1.01 - ) +WITH -- Create a common table expression (CTE) named localizerAndJpegCompressedSeries + localizerAndJpegCompressedSeries AS + (SELECT "SeriesInstanceUID" + FROM IDC.IDC_V17."DICOM_ALL" AS bid + WHERE "ImageType" = 'LOCALIZER' + OR "TransferSyntaxUID" IN ('1.2.840.10008.1.2.4.70', + '1.2.840.10008.1.2.4.51')), -- Create a common table expression (CTE) for x_vector calculation (first three elements) + imageOrientation AS + (SELECT "SeriesInstanceUID", + ARRAY_AGG(CAST(part.value AS FLOAT)) AS "x_vector" + FROM IDC.IDC_V17."DICOM_ALL" AS bid, + LATERAL FLATTEN(INPUT => bid."ImageOrientationPatient") AS part + WHERE part.index BETWEEN 0 AND 2 + GROUP BY "SeriesInstanceUID"), -- Create a common table expression (CTE) for y_vector calculation (next three elements) + imageOrientationY AS + (SELECT "SeriesInstanceUID", + ARRAY_AGG(CAST(part.value AS FLOAT)) AS "y_vector" + FROM IDC.IDC_V17."DICOM_ALL" AS bid, + LATERAL FLATTEN(INPUT => bid."ImageOrientationPatient") AS part + WHERE part.index BETWEEN 3 AND 5 + GROUP BY "SeriesInstanceUID"), -- Create a common table expression (CTE) named nonLocalizerRawData + nonLocalizerRawData AS + (SELECT bid."SeriesInstanceUID", -- Added table alias bid + bid."StudyInstanceUID", + bid."PatientID", + bid."SOPInstanceUID", + bid."SliceThickness", + bid."ImageType", + bid."TransferSyntaxUID", + bid."SeriesNumber", + bid."aws_bucket", + bid."crdc_series_uuid", + CAST(bid."Exposure" AS FLOAT) AS "Exposure", -- Use CAST directly + CAST(ipp.value AS FLOAT) AS "zImagePosition", -- Use CAST directly + CONCAT(ipp2.value, '/', ipp3.value) AS "xyImagePosition", + LEAD(CAST(ipp.value AS FLOAT)) OVER (PARTITION BY bid."SeriesInstanceUID" + ORDER BY CAST(ipp.value AS FLOAT)) - CAST(ipp.value AS FLOAT) AS "slice_interval", + ARRAY_TO_STRING(bid."ImageOrientationPatient", '/') AS "iop", + bid."PixelSpacing", + bid."Rows" AS "pixelRows", + bid."Columns" AS "pixelColumns", + bid."instance_size" AS "instanceSize" + FROM IDC.IDC_V17."DICOM_ALL" AS bid + LEFT JOIN LATERAL FLATTEN(INPUT => bid."ImagePositionPatient") AS ipp + LEFT JOIN LATERAL FLATTEN(INPUT => bid."ImagePositionPatient") AS ipp2 + LEFT JOIN LATERAL FLATTEN(INPUT => bid."ImagePositionPatient") AS ipp3 + WHERE bid."collection_id" != 'nlst' + AND bid."Modality" = 'CT' + AND ipp.index = 2 + AND ipp2.index = 0 + AND ipp3.index = 1 + AND bid."SeriesInstanceUID" NOT IN + (SELECT "SeriesInstanceUID" + FROM localizerAndJpegCompressedSeries)), -- Cross product calculation + crossProduct AS + (SELECT nld."SOPInstanceUID", -- Added table alias nld + nld."SeriesInstanceUID", -- Added table alias nld + OBJECT_CONSTRUCT('x', ("x_vector"[1] * "y_vector"[2] - "x_vector"[2] * "y_vector"[1]), 'y', ("x_vector"[2] * "y_vector"[0] - "x_vector"[0] * "y_vector"[2]), 'z', ("x_vector"[0] * "y_vector"[1] - "x_vector"[1] * "y_vector"[0])) AS "xyCrossProduct" + FROM nonLocalizerRawData AS nld -- Added alias for nonLocalizerRawData -SELECT - geometryChecks."SeriesInstanceUID", -- Added table alias - geometryChecks."SeriesNumber", -- Added table alias - geometryChecks."PatientID", -- Added table alias - geometryChecks."seriesSizeInMiB" -FROM - geometryChecks -ORDER BY - geometryChecks."seriesSizeInMiB" DESC + JOIN imageOrientation AS io ON nld."SeriesInstanceUID" = io."SeriesInstanceUID" + JOIN imageOrientationY AS ioy ON nld."SeriesInstanceUID" = ioy."SeriesInstanceUID"), -- Cross product elements extraction and row numbering + crossProductElements AS + (SELECT cp."SOPInstanceUID", + cp."SeriesInstanceUID", + elem.value, + ROW_NUMBER() OVER (PARTITION BY cp."SOPInstanceUID", cp."SeriesInstanceUID" + ORDER BY elem.value) AS rn + FROM crossProduct AS cp -- Use LATERAL FLATTEN to explode the cross product object into individual 'x', 'y', and 'z' + + JOIN LATERAL FLATTEN(INPUT => ARRAY_CONSTRUCT(cp."xyCrossProduct"['x'], cp."xyCrossProduct"['y'], cp."xyCrossProduct"['z'])) AS elem -- Simplified 'elem.value' reference here +), -- Dot product calculation + dotProduct AS + (SELECT cpe."SOPInstanceUID", + cpe."SeriesInstanceUID", + SUM(CASE + WHEN cpe.rn = 1 THEN cpe.value * 0 -- x * 0 + + WHEN cpe.rn = 2 THEN cpe.value * 0 -- y * 0 + + WHEN cpe.rn = 3 THEN cpe.value * 1 -- z * 1 + + END) AS "xyDotProduct" + FROM crossProductElements AS cpe + GROUP BY cpe."SOPInstanceUID", + cpe."SeriesInstanceUID"), -- Geometry checks for series consistency + geometryChecks AS + (SELECT gc."SeriesInstanceUID", -- Added table alias gc + gc."SeriesNumber", + gc."aws_bucket", + gc."crdc_series_uuid", + gc."StudyInstanceUID", + gc."PatientID", + ARRAY_AGG(DISTINCT gc."slice_interval") AS "sliceIntervalDifferences", + ARRAY_AGG(DISTINCT gc."Exposure") AS "distinctExposures", + COUNT(DISTINCT gc."iop") AS "iopCount", + COUNT(DISTINCT gc."PixelSpacing") AS "pixelSpacingCount", + COUNT(DISTINCT gc."zImagePosition") AS "positionCount", + COUNT(DISTINCT gc."xyImagePosition") AS "xyPositionCount", + COUNT(DISTINCT gc."SOPInstanceUID") AS "sopInstanceCount", + COUNT(DISTINCT gc."SliceThickness") AS "sliceThicknessCount", + COUNT(DISTINCT gc."Exposure") AS "exposureCount", + COUNT(DISTINCT gc."pixelRows") AS "pixelRowCount", + COUNT(DISTINCT gc."pixelColumns") AS "pixelColumnCount", + dp."xyDotProduct", -- Added xyDotProduct from dotProduct + SUM(gc."instanceSize") / 1024 / 1024 AS "seriesSizeInMiB" + FROM nonLocalizerRawData AS gc -- Added table alias gc + + JOIN dotProduct AS dp ON gc."SeriesInstanceUID" = dp."SeriesInstanceUID" + AND gc."SOPInstanceUID" = dp."SOPInstanceUID" + GROUP BY gc."SeriesInstanceUID", + gc."SeriesNumber", + gc."aws_bucket", + gc."crdc_series_uuid", + gc."StudyInstanceUID", + gc."PatientID", + dp."xyDotProduct" -- Include xyDotProduct in GROUP BY + + HAVING COUNT(DISTINCT gc."iop") = 1 + AND COUNT(DISTINCT gc."PixelSpacing") = 1 + AND COUNT(DISTINCT gc."SOPInstanceUID") = COUNT(DISTINCT gc."zImagePosition") + AND COUNT(DISTINCT gc."xyImagePosition") = 1 + AND COUNT(DISTINCT gc."pixelRows") = 1 + AND COUNT(DISTINCT gc."pixelColumns") = 1 + AND ABS(dp."xyDotProduct") BETWEEN 0.99 AND 1.01) +SELECT geometryChecks."SeriesInstanceUID", -- Added table alias + geometryChecks."SeriesNumber", -- Added table alias + geometryChecks."PatientID", -- Added table alias + geometryChecks."seriesSizeInMiB" +FROM geometryChecks +ORDER BY geometryChecks."seriesSizeInMiB" DESC LIMIT 5; diff --git a/spider2/queries/snow_sf002.sql b/spider2/queries/snow_sf002.sql index a35249d3faef13fbf8f2a966d4585a92e8eb121d..6d517dc0b88cd344d6877f214fe003fd758b99da 100644 --- a/spider2/queries/snow_sf002.sql +++ b/spider2/queries/snow_sf002.sql @@ -1,30 +1,27 @@ -WITH "FilteredData" AS ( - SELECT - "ID_RSSD"::NUMBER AS "ID_RSSD_NUM", - "VARIABLE", - "VALUE" - FROM "FINANCE__ECONOMICS"."CYBERSYN"."FINANCIAL_INSTITUTION_TIMESERIES" - WHERE "DATE" = '2022-12-31' - AND "VARIABLE" IN ('ASSET', 'ESTINS') -), -"BankFinancials" AS ( - SELECT - "ID_RSSD_NUM", - MAX(CASE WHEN "VARIABLE" = 'ASSET' THEN "VALUE" END) AS "TotalAssets", - MAX(CASE WHEN "VARIABLE" = 'ESTINS' THEN "VALUE" END) AS "InsuredPercentage" - FROM "FilteredData" - GROUP BY "ID_RSSD_NUM" -) -SELECT - "E"."NAME", - (1 - "BF"."InsuredPercentage") * 100 AS "Uninsured_Assets_Percentage" +WITH "FilteredData" AS + (SELECT "ID_RSSD"::NUMBER AS "ID_RSSD_NUM", + "VARIABLE", + "VALUE" + FROM "FINANCE__ECONOMICS"."CYBERSYN"."FINANCIAL_INSTITUTION_TIMESERIES" + WHERE "DATE" = '2022-12-31' + AND "VARIABLE" IN ('ASSET', + 'ESTINS')), + "BankFinancials" AS + (SELECT "ID_RSSD_NUM", + MAX(CASE + WHEN "VARIABLE" = 'ASSET' THEN "VALUE" + END) AS "TotalAssets", + MAX(CASE + WHEN "VARIABLE" = 'ESTINS' THEN "VALUE" + END) AS "InsuredPercentage" + FROM "FilteredData" + GROUP BY "ID_RSSD_NUM") +SELECT "E"."NAME", + (1 - "BF"."InsuredPercentage") * 100 AS "Uninsured_Assets_Percentage" FROM "FINANCE__ECONOMICS"."CYBERSYN"."FINANCIAL_INSTITUTION_ENTITIES" AS "E" -JOIN "BankFinancials" AS "BF" - ON "E"."ID_RSSD" = "BF"."ID_RSSD_NUM" -WHERE - "E"."IS_ACTIVE" = TRUE +JOIN "BankFinancials" AS "BF" ON "E"."ID_RSSD" = "BF"."ID_RSSD_NUM" +WHERE "E"."IS_ACTIVE" = TRUE AND "BF"."TotalAssets" > 10000000000 AND "BF"."InsuredPercentage" IS NOT NULL -ORDER BY - "Uninsured_Assets_Percentage" DESC +ORDER BY "Uninsured_Assets_Percentage" DESC LIMIT 10; diff --git a/spider2/queries/snow_sf011.sql b/spider2/queries/snow_sf011.sql index f492f27ff227a2867f4441197b1b83a66cf002eb..102ce50ffa8b71842ed278b1bffe357fc83ab3a4 100644 --- a/spider2/queries/snow_sf011.sql +++ b/spider2/queries/snow_sf011.sql @@ -1,20 +1,16 @@ -WITH BlockGroupAndTractPop AS ( - SELECT - T1."BlockGroupID", - T1."StateCountyTractID", - T2."CensusValue" AS "BlockGroupPopulation", - SUM(T2."CensusValue") OVER (PARTITION BY T1."StateCountyTractID") AS "TractPopulation" - FROM "CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE"."PUBLIC"."Dim_CensusGeography" AS T1 - JOIN "CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE"."PUBLIC"."Fact_CensusValues_ACS2021" AS T2 - ON T1."BlockGroupID" = T2."BlockGroupID" - WHERE - T1."StateName" = 'New York' AND T2."MetricID" = 'B01003_001E' -) -SELECT - "BlockGroupID", - "BlockGroupPopulation" AS "census_value", - "StateCountyTractID", - "TractPopulation" AS "total_tract_population", - "BlockGroupPopulation" / "TractPopulation" AS "population_ratio" +WITH BlockGroupAndTractPop AS + (SELECT T1."BlockGroupID", + T1."StateCountyTractID", + T2."CensusValue" AS "BlockGroupPopulation", + SUM(T2."CensusValue") OVER (PARTITION BY T1."StateCountyTractID") AS "TractPopulation" + FROM "CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE"."PUBLIC"."Dim_CensusGeography" AS T1 + JOIN "CENSUS_GALAXY__ZIP_CODE_TO_BLOCK_GROUP_SAMPLE"."PUBLIC"."Fact_CensusValues_ACS2021" AS T2 ON T1."BlockGroupID" = T2."BlockGroupID" + WHERE T1."StateName" = 'New York' + AND T2."MetricID" = 'B01003_001E') +SELECT "BlockGroupID", + "BlockGroupPopulation" AS "census_value", + "StateCountyTractID", + "TractPopulation" AS "total_tract_population", + "BlockGroupPopulation" / "TractPopulation" AS "population_ratio" FROM BlockGroupAndTractPop WHERE "TractPopulation" > 0 diff --git a/spider2/queries/snow_sf012.sql b/spider2/queries/snow_sf012.sql index 3734c4fd2a1173f39e3679003740a9d69eaf53fa..4326ed70cc2289c9eb9538b76105cadcc081157c 100644 --- a/spider2/queries/snow_sf012.sql +++ b/spider2/queries/snow_sf012.sql @@ -12,13 +12,15 @@ -- 4. Aggregate with SUM which automatically ignores NULLs (no additional NULL handling). -- 5. Group by the extracted year and order ascending for readability. -SELECT - EXTRACT(year FROM "DATE_OF_LOSS") AS "YEAR_OF_LOSS", - SUM("BUILDING_DAMAGE_AMOUNT") AS "total_building_damage_amount", - SUM("CONTENTS_DAMAGE_AMOUNT") AS "total_contents_damage_amount" +SELECT EXTRACT(YEAR + FROM "DATE_OF_LOSS") AS "YEAR_OF_LOSS", + SUM("BUILDING_DAMAGE_AMOUNT") AS "total_building_damage_amount", + SUM("CONTENTS_DAMAGE_AMOUNT") AS "total_contents_damage_amount" FROM "WEATHER__ENVIRONMENT"."CYBERSYN"."FEMA_NATIONAL_FLOOD_INSURANCE_PROGRAM_CLAIM_INDEX" WHERE "NFIP_COMMUNITY_NAME" = 'City Of New York' AND "DATE_OF_LOSS" IS NOT NULL - AND EXTRACT(year FROM "DATE_OF_LOSS") BETWEEN 2010 AND 2019 -GROUP BY EXTRACT(year FROM "DATE_OF_LOSS") + AND EXTRACT(YEAR + FROM "DATE_OF_LOSS") BETWEEN 2010 AND 2019 +GROUP BY EXTRACT(YEAR + FROM "DATE_OF_LOSS") ORDER BY "YEAR_OF_LOSS"; diff --git a/spider2/queries/snow_sf014.sql b/spider2/queries/snow_sf014.sql index 51947a7292ab7a65715465a108f74348745ae64b..f2eb6a27ede1d1f582a84b1a3c4cc114c3ff1d66 100644 --- a/spider2/queries/snow_sf014.sql +++ b/spider2/queries/snow_sf014.sql @@ -1,31 +1,26 @@ -WITH ZipCommuters AS ( - SELECT - f."ZipCode", - SUM(f."CensusValueByZip") AS "TotalCommutersOver1Hour" - FROM CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_CensusValues_ACS2021_ByZip" AS f - JOIN CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."LU_GeographyExpanded" AS l ON f."ZipCode" = l."ZipCode" - WHERE l."PreferredStateAbbrev" = 'NY' - AND f."MetricID" IN ('B08303_012E', 'B08303_013E') - GROUP BY f."ZipCode" -), -StateBenchmark AS ( - SELECT - SUM("StateBenchmarkValue") AS "StateBenchmarkOver1Hour" - FROM CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_StateBenchmark_ACS2021" - WHERE "StateAbbrev" = 'NY' - AND "MetricID" IN ('B08303_012E', 'B08303_013E') -), -StatePopulation AS ( - SELECT - MAX("TotalStatePopulation") AS "StatePopulation" - FROM CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_StateBenchmark_ACS2021" - WHERE "StateAbbrev" = 'NY' -) -SELECT - zc."ZipCode" AS "zip_code", - zc."TotalCommutersOver1Hour" AS "total_commuters_over_one_hour", - sb."StateBenchmarkOver1Hour" AS "state_benchmark_for_this_duration", - sp."StatePopulation" AS "state_population" +WITH ZipCommuters AS + (SELECT f."ZipCode", + SUM(f."CensusValueByZip") AS "TotalCommutersOver1Hour" + FROM CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_CensusValues_ACS2021_ByZip" AS f + JOIN CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."LU_GeographyExpanded" AS l ON f."ZipCode" = l."ZipCode" + WHERE l."PreferredStateAbbrev" = 'NY' + AND f."MetricID" IN ('B08303_012E', + 'B08303_013E') + GROUP BY f."ZipCode"), + StateBenchmark AS + (SELECT SUM("StateBenchmarkValue") AS "StateBenchmarkOver1Hour" + FROM CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_StateBenchmark_ACS2021" + WHERE "StateAbbrev" = 'NY' + AND "MetricID" IN ('B08303_012E', + 'B08303_013E')), + StatePopulation AS + (SELECT MAX("TotalStatePopulation") AS "StatePopulation" + FROM CENSUS_GALAXY__AIML_MODEL_DATA_ENRICHMENT_SAMPLE.PUBLIC."Fact_StateBenchmark_ACS2021" + WHERE "StateAbbrev" = 'NY') +SELECT zc."ZipCode" AS "zip_code", + zc."TotalCommutersOver1Hour" AS "total_commuters_over_one_hour", + sb."StateBenchmarkOver1Hour" AS "state_benchmark_for_this_duration", + sp."StatePopulation" AS "state_population" FROM ZipCommuters zc CROSS JOIN StateBenchmark sb CROSS JOIN StatePopulation sp diff --git a/spider2/queries/snow_sf018.sql b/spider2/queries/snow_sf018.sql index 4fe2357711bd5237597ee53e8b09cff712f71cd2..a3cad9062f93b0733079dfbec679a871c4fac998 100644 --- a/spider2/queries/snow_sf018.sql +++ b/spider2/queries/snow_sf018.sql @@ -1,102 +1,108 @@ -WITH all_events AS ( - -- SEND events - SELECT - "APP_GROUP_ID", - "CAMPAIGN_ID", - "USER_ID", - COALESCE("MESSAGE_VARIATION_ID", "MESSAGE_VARIATION_API_ID") AS "MESSAGE_VARIATION_ID_USED", - "PLATFORM", - "AD_TRACKING_ENABLED", - NULL AS "CARRIER", - NULL AS "BROWSER", - NULL AS "DEVICE_MODEL", - 'send' AS event_type - FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_SEND_VIEW - WHERE "TIME" BETWEEN 1685606400 AND 1685610000 - - UNION ALL - - -- BOUNCE events - SELECT - "APP_GROUP_ID", - "CAMPAIGN_ID", - "USER_ID", - COALESCE("MESSAGE_VARIATION_ID", "MESSAGE_VARIATION_API_ID") AS "MESSAGE_VARIATION_ID_USED", - "PLATFORM", - "AD_TRACKING_ENABLED", - NULL AS "CARRIER", - NULL AS "BROWSER", - NULL AS "DEVICE_MODEL", - 'bounce' AS event_type - FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_BOUNCE_VIEW - WHERE "TIME" BETWEEN 1685606400 AND 1685610000 - - UNION ALL - - -- OPEN events - SELECT - "APP_GROUP_ID", - "CAMPAIGN_ID", - "USER_ID", - COALESCE("MESSAGE_VARIATION_ID", "MESSAGE_VARIATION_API_ID") AS "MESSAGE_VARIATION_ID_USED", - "PLATFORM", - "AD_TRACKING_ENABLED", - "CARRIER", - "BROWSER", - "DEVICE_MODEL", - 'open' AS event_type - FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_OPEN_VIEW - WHERE "TIME" BETWEEN 1685606400 AND 1685610000 - - UNION ALL - - -- INFLUENCEDOPEN events - SELECT - "APP_GROUP_ID", - "CAMPAIGN_ID", - "USER_ID", - COALESCE("MESSAGE_VARIATION_ID", "MESSAGE_VARIATION_API_ID") AS "MESSAGE_VARIATION_ID_USED", - "PLATFORM", - NULL AS "AD_TRACKING_ENABLED", - "CARRIER", - "BROWSER", - "DEVICE_MODEL", - 'influenced_open' AS event_type - FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_INFLUENCEDOPEN_VIEW - WHERE "TIME" BETWEEN 1685606400 AND 1685610000 -) - -SELECT - "APP_GROUP_ID", - "CAMPAIGN_ID", - "USER_ID", - "MESSAGE_VARIATION_ID_USED" AS "MESSAGE_VARIATION_ID", - "PLATFORM", - "AD_TRACKING_ENABLED", - "CARRIER", - "BROWSER", - "DEVICE_MODEL", - SUM(CASE WHEN event_type = 'send' THEN 1 ELSE 0 END) AS "push_notification_sends", - COUNT(DISTINCT CASE WHEN event_type = 'send' THEN "USER_ID" ELSE NULL END) AS "unique_push_notification_sends", - SUM(CASE WHEN event_type = 'bounce' THEN 1 ELSE 0 END) AS "push_notification_bounced", - COUNT(DISTINCT CASE WHEN event_type = 'bounce' THEN "USER_ID" ELSE NULL END) AS "unique_push_notification_bounced", - SUM(CASE WHEN event_type = 'open' THEN 1 ELSE 0 END) AS "push_notification_open", - COUNT(DISTINCT CASE WHEN event_type = 'open' THEN "USER_ID" ELSE NULL END) AS "unique_push_notification_opened", - SUM(CASE WHEN event_type = 'influenced_open' THEN 1 ELSE 0 END) AS "push_notification_influenced_open", - COUNT(DISTINCT CASE WHEN event_type = 'influenced_open' THEN "USER_ID" ELSE NULL END) AS "unique_push_notification_influenced_open" +WITH all_events AS + (-- SEND events + SELECT "APP_GROUP_ID", + "CAMPAIGN_ID", + "USER_ID", + COALESCE("MESSAGE_VARIATION_ID", "MESSAGE_VARIATION_API_ID") AS "MESSAGE_VARIATION_ID_USED", + "PLATFORM", + "AD_TRACKING_ENABLED", + NULL AS "CARRIER", + NULL AS "BROWSER", + NULL AS "DEVICE_MODEL", + 'send' AS event_type + FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_SEND_VIEW + WHERE "TIME" BETWEEN 1685606400 AND 1685610000 + UNION ALL -- BOUNCE events + SELECT "APP_GROUP_ID", + "CAMPAIGN_ID", + "USER_ID", + COALESCE("MESSAGE_VARIATION_ID", "MESSAGE_VARIATION_API_ID") AS "MESSAGE_VARIATION_ID_USED", + "PLATFORM", + "AD_TRACKING_ENABLED", + NULL AS "CARRIER", + NULL AS "BROWSER", + NULL AS "DEVICE_MODEL", + 'bounce' AS event_type + FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_BOUNCE_VIEW + WHERE "TIME" BETWEEN 1685606400 AND 1685610000 + UNION ALL -- OPEN events + SELECT "APP_GROUP_ID", + "CAMPAIGN_ID", + "USER_ID", + COALESCE("MESSAGE_VARIATION_ID", "MESSAGE_VARIATION_API_ID") AS "MESSAGE_VARIATION_ID_USED", + "PLATFORM", + "AD_TRACKING_ENABLED", + "CARRIER", + "BROWSER", + "DEVICE_MODEL", + 'open' AS event_type + FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_OPEN_VIEW + WHERE "TIME" BETWEEN 1685606400 AND 1685610000 + UNION ALL -- INFLUENCEDOPEN events + SELECT "APP_GROUP_ID", + "CAMPAIGN_ID", + "USER_ID", + COALESCE("MESSAGE_VARIATION_ID", "MESSAGE_VARIATION_API_ID") AS "MESSAGE_VARIATION_ID_USED", + "PLATFORM", + NULL AS "AD_TRACKING_ENABLED", + "CARRIER", + "BROWSER", + "DEVICE_MODEL", + 'influenced_open' AS event_type + FROM BRAZE_USER_EVENT_DEMO_DATASET.PUBLIC.USERS_MESSAGES_PUSHNOTIFICATION_INFLUENCEDOPEN_VIEW + WHERE "TIME" BETWEEN 1685606400 AND 1685610000) +SELECT "APP_GROUP_ID", + "CAMPAIGN_ID", + "USER_ID", + "MESSAGE_VARIATION_ID_USED" AS "MESSAGE_VARIATION_ID", + "PLATFORM", + "AD_TRACKING_ENABLED", + "CARRIER", + "BROWSER", + "DEVICE_MODEL", + SUM(CASE + WHEN event_type = 'send' THEN 1 + ELSE 0 + END) AS "push_notification_sends", + COUNT(DISTINCT CASE + WHEN event_type = 'send' THEN "USER_ID" + ELSE NULL + END) AS "unique_push_notification_sends", + SUM(CASE + WHEN event_type = 'bounce' THEN 1 + ELSE 0 + END) AS "push_notification_bounced", + COUNT(DISTINCT CASE + WHEN event_type = 'bounce' THEN "USER_ID" + ELSE NULL + END) AS "unique_push_notification_bounced", + SUM(CASE + WHEN event_type = 'open' THEN 1 + ELSE 0 + END) AS "push_notification_open", + COUNT(DISTINCT CASE + WHEN event_type = 'open' THEN "USER_ID" + ELSE NULL + END) AS "unique_push_notification_opened", + SUM(CASE + WHEN event_type = 'influenced_open' THEN 1 + ELSE 0 + END) AS "push_notification_influenced_open", + COUNT(DISTINCT CASE + WHEN event_type = 'influenced_open' THEN "USER_ID" + ELSE NULL + END) AS "unique_push_notification_influenced_open" FROM all_events -GROUP BY - "APP_GROUP_ID", - "CAMPAIGN_ID", - "USER_ID", - "MESSAGE_VARIATION_ID_USED", - "PLATFORM", - "AD_TRACKING_ENABLED", - "CARRIER", - "BROWSER", - "DEVICE_MODEL" -ORDER BY - "APP_GROUP_ID", - "CAMPAIGN_ID", - "USER_ID" +GROUP BY "APP_GROUP_ID", + "CAMPAIGN_ID", + "USER_ID", + "MESSAGE_VARIATION_ID_USED", + "PLATFORM", + "AD_TRACKING_ENABLED", + "CARRIER", + "BROWSER", + "DEVICE_MODEL" +ORDER BY "APP_GROUP_ID", + "CAMPAIGN_ID", + "USER_ID" LIMIT 20 diff --git a/spider2/queries/snow_sf040.sql b/spider2/queries/snow_sf040.sql index 8ff4737834519456ec7a27ba6fde44ae3f8a5536..2a83b3b66d0d065ddbc53e4bee58670563f0026c 100644 --- a/spider2/queries/snow_sf040.sql +++ b/spider2/queries/snow_sf040.sql @@ -1,46 +1,39 @@ -WITH "FL_ZIPS" AS ( - SELECT - "RELATED_GEO_ID" AS "ZIP_GEO_ID" - FROM "US_ADDRESSES__POI"."CYBERSYN"."GEOGRAPHY_RELATIONSHIPS" - WHERE "GEO_ID" = 'geoId/12' - AND "RELATIONSHIP_TYPE" = 'Contains' - AND "RELATED_LEVEL" = 'CensusZipCodeTabulationArea' -), -"ZIP_GEOMS" AS ( - SELECT - f."ZIP_GEO_ID" AS "GEO_ID", - TO_GEOGRAPHY(c."VALUE") AS "GEOM" - FROM "FL_ZIPS" f - JOIN "US_ADDRESSES__POI"."CYBERSYN"."GEOGRAPHY_CHARACTERISTICS" c - ON c."GEO_ID" = f."ZIP_GEO_ID" - AND c."RELATIONSHIP_TYPE" = 'coordinates_wkt' - AND c."VALUE" IS NOT NULL -), -"ZIP_AREAS" AS ( - SELECT - "GEO_ID", - ST_AREA(ST_UNION_AGG("GEOM")) AS "AREA_M2" - FROM "ZIP_GEOMS" - GROUP BY "GEO_ID" -), -"LARGEST_FL_ZIP" AS ( - SELECT "GEO_ID" AS "ZIP_GEO_ID" - FROM "ZIP_AREAS" - ORDER BY "AREA_M2" DESC - LIMIT 1 -) -SELECT - a."NUMBER" AS "ADDRESS_NUMBER", - a."STREET" AS "STREET_NAME", - a."STREET_TYPE" AS "STREET_TYPE" +WITH "FL_ZIPS" AS + (SELECT "RELATED_GEO_ID" AS "ZIP_GEO_ID" + FROM "US_ADDRESSES__POI"."CYBERSYN"."GEOGRAPHY_RELATIONSHIPS" + WHERE "GEO_ID" = 'geoId/12' + AND "RELATIONSHIP_TYPE" = 'Contains' + AND "RELATED_LEVEL" = 'CensusZipCodeTabulationArea'), + "ZIP_GEOMS" AS + (SELECT f."ZIP_GEO_ID" AS "GEO_ID", + TO_GEOGRAPHY(c."VALUE") AS "GEOM" + FROM "FL_ZIPS" f + JOIN "US_ADDRESSES__POI"."CYBERSYN"."GEOGRAPHY_CHARACTERISTICS" c ON c."GEO_ID" = f."ZIP_GEO_ID" + AND c."RELATIONSHIP_TYPE" = 'coordinates_wkt' + AND c."VALUE" IS NOT NULL), + "ZIP_AREAS" AS + (SELECT "GEO_ID", + ST_AREA(ST_UNION_AGG("GEOM")) AS "AREA_M2" + FROM "ZIP_GEOMS" + GROUP BY "GEO_ID"), + "LARGEST_FL_ZIP" AS + (SELECT "GEO_ID" AS "ZIP_GEO_ID" + FROM "ZIP_AREAS" + ORDER BY "AREA_M2" DESC + LIMIT 1) +SELECT a."NUMBER" AS "ADDRESS_NUMBER", + a."STREET" AS "STREET_NAME", + a."STREET_TYPE" AS "STREET_TYPE" FROM "US_ADDRESSES__POI"."CYBERSYN"."US_ADDRESSES" a -JOIN "LARGEST_FL_ZIP" z - ON a."ID_ZIP" = z."ZIP_GEO_ID" +JOIN "LARGEST_FL_ZIP" z ON a."ID_ZIP" = z."ZIP_GEO_ID" WHERE a."STATE" = 'FL' AND a."LATITUDE" IS NOT NULL AND a."NUMBER" IS NOT NULL AND REGEXP_LIKE(a."NUMBER", '^[0-9]+$') - AND a."STREET" IS NOT NULL AND TRIM(a."STREET") != '' - AND a."STREET_TYPE" IS NOT NULL AND TRIM(a."STREET_TYPE") != '' -ORDER BY a."LATITUDE" DESC, a."LONGITUDE" DESC + AND a."STREET" IS NOT NULL + AND TRIM(a."STREET") != '' + AND a."STREET_TYPE" IS NOT NULL + AND TRIM(a."STREET_TYPE") != '' +ORDER BY a."LATITUDE" DESC, + a."LONGITUDE" DESC LIMIT 10; diff --git a/spider2/queries/snow_sf044.sql b/spider2/queries/snow_sf044.sql index f04c1b6fc3c9f78699588e29fb3a437b52281ca0..bd8328290c6cbe013699973b85ef61677f1c907a 100644 --- a/spider2/queries/snow_sf044.sql +++ b/spider2/queries/snow_sf044.sql @@ -1,90 +1,65 @@ -WITH "tickers" AS ( - SELECT column1 AS "TICKER" - FROM (VALUES - ('AAPL'), - ('MSFT'), - ('GOOGL'), - ('AMZN'), - ('NVDA'), - ('META'), - ('TSLA') - ) AS "v"(column1) -), -"filtered" AS ( - SELECT - "s"."TICKER", - "s"."DATE", - "s"."VALUE" - FROM "FINANCE__ECONOMICS"."CYBERSYN"."STOCK_PRICE_TIMESERIES" AS "s" - INNER JOIN "tickers" AS "t" - ON "s"."TICKER" = "t"."TICKER" - WHERE "s"."VARIABLE" = 'post-market_close' - AND "s"."DATE" BETWEEN '2024-01-01' AND '2024-06-30' -), -"start_prices" AS ( - SELECT - "TICKER", - "DATE" AS "START_DATE", - "VALUE" AS "START_VALUE" - FROM ( - SELECT - "TICKER", - "DATE", - "VALUE", - ROW_NUMBER() OVER (PARTITION BY "TICKER" ORDER BY "DATE") AS "RN" - FROM "filtered" - ) - WHERE "RN" = 1 -), -"end_prices" AS ( - SELECT - "TICKER", - "DATE" AS "END_DATE", - "VALUE" AS "END_VALUE" - FROM ( - SELECT - "TICKER", - "DATE", - "VALUE", - ROW_NUMBER() OVER (PARTITION BY "TICKER" ORDER BY "DATE" DESC) AS "RN" - FROM "filtered" - ) - WHERE "RN" = 1 -), -"split_candidates" AS ( - SELECT - "TICKER", - "DATE", - "PREV_VALUE" / NULLIF("VALUE", 0) AS "RATIO" - FROM ( - SELECT - "TICKER", - "DATE", - "VALUE", - LAG("VALUE") OVER (PARTITION BY "TICKER" ORDER BY "DATE") AS "PREV_VALUE" - FROM "filtered" - ) - WHERE "PREV_VALUE" IS NOT NULL -), -"split_factors" AS ( - SELECT - "TICKER", - EXP(SUM(LN(ROUND("RATIO")))) AS "TOTAL_FACTOR" - FROM "split_candidates" - WHERE "RATIO" >= 1.5 - AND ABS("RATIO" - ROUND("RATIO")) <= 0.2 - GROUP BY "TICKER" -) -SELECT - "sp"."TICKER", - "sp"."START_DATE", - "ep"."END_DATE", - ROUND("sp"."START_VALUE" / COALESCE("sf"."TOTAL_FACTOR", 1), 2) AS "ADJUSTED_START_PRICE", - ROUND("ep"."END_VALUE", 2) AS "END_PRICE", - ROUND((("ep"."END_VALUE" - ("sp"."START_VALUE" / COALESCE("sf"."TOTAL_FACTOR", 1))) / ("sp"."START_VALUE" / COALESCE("sf"."TOTAL_FACTOR", 1))) * 100, 2) AS "PERCENT_CHANGE" +WITH "tickers" AS + (SELECT column1 AS "TICKER" + FROM ( + VALUES ('AAPL'), ('MSFT'), ('GOOGL'), ('AMZN'), ('NVDA'), ('META'), ('TSLA')) AS "v"(column1)), + "filtered" AS + (SELECT "s"."TICKER", + "s"."DATE", + "s"."VALUE" + FROM "FINANCE__ECONOMICS"."CYBERSYN"."STOCK_PRICE_TIMESERIES" AS "s" + INNER JOIN "tickers" AS "t" ON "s"."TICKER" = "t"."TICKER" + WHERE "s"."VARIABLE" = 'post-market_close' + AND "s"."DATE" BETWEEN '2024-01-01' AND '2024-06-30'), + "start_prices" AS + (SELECT "TICKER", + "DATE" AS "START_DATE", + "VALUE" AS "START_VALUE" + FROM + (SELECT "TICKER", + "DATE", + "VALUE", + ROW_NUMBER() OVER (PARTITION BY "TICKER" + ORDER BY "DATE") AS "RN" + FROM "filtered") + WHERE "RN" = 1), + "end_prices" AS + (SELECT "TICKER", + "DATE" AS "END_DATE", + "VALUE" AS "END_VALUE" + FROM + (SELECT "TICKER", + "DATE", + "VALUE", + ROW_NUMBER() OVER (PARTITION BY "TICKER" + ORDER BY "DATE" DESC) AS "RN" + FROM "filtered") + WHERE "RN" = 1), + "split_candidates" AS + (SELECT "TICKER", + "DATE", + "PREV_VALUE" / NULLIF("VALUE", 0) AS "RATIO" + FROM + (SELECT "TICKER", + "DATE", + "VALUE", + LAG("VALUE") OVER (PARTITION BY "TICKER" + ORDER BY "DATE") AS "PREV_VALUE" + FROM "filtered") + WHERE "PREV_VALUE" IS NOT NULL), + "split_factors" AS + (SELECT "TICKER", + EXP(SUM(LN(ROUND("RATIO")))) AS "TOTAL_FACTOR" + FROM "split_candidates" + WHERE "RATIO" >= 1.5 + AND ABS("RATIO" - ROUND("RATIO")) <= 0.2 + GROUP BY "TICKER") +SELECT "sp"."TICKER", + "sp"."START_DATE", + "ep"."END_DATE", + ROUND("sp"."START_VALUE" / COALESCE("sf"."TOTAL_FACTOR", 1), 2) AS "ADJUSTED_START_PRICE", + ROUND("ep"."END_VALUE", 2) AS "END_PRICE", + ROUND((("ep"."END_VALUE" - ("sp"."START_VALUE" / COALESCE("sf"."TOTAL_FACTOR", 1))) / ("sp"."START_VALUE" / COALESCE("sf"."TOTAL_FACTOR", 1))) * 100, 2) AS "PERCENT_CHANGE" FROM "start_prices" AS "sp" -INNER JOIN "end_prices" AS "ep" - ON "sp"."TICKER" = "ep"."TICKER" -LEFT JOIN "split_factors" AS "sf" - ON "sp"."TICKER" = "sf"."TICKER" +INNER JOIN "end_prices" AS "ep" ON "sp"."TICKER" = "ep"."TICKER" +LEFT JOIN "split_factors" AS "sf" ON "sp"."TICKER" = "sf"."TICKER" ORDER BY "sp"."TICKER"; diff --git a/spider2/queries/snow_sf_bq012.sql b/spider2/queries/snow_sf_bq012.sql index 59f5bfbf0bd80016a5d91868aef68b9f11d3a2ed..51a508ae0372e4eb7da878b3e50e1550537f0ea3 100644 --- a/spider2/queries/snow_sf_bq012.sql +++ b/spider2/queries/snow_sf_bq012.sql @@ -1,67 +1,70 @@ -WITH tx_fees AS ( - SELECT - t."from_address" AS sender, - b."miner" AS miner, - (t."receipt_gas_used" * t."gas_price") AS fee - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRANSACTIONS" t - JOIN "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."BLOCKS" b - ON t."block_hash" = b."hash" - WHERE t."receipt_status" = 1 -), -miner_fee_income AS ( - SELECT miner AS address, SUM(fee) AS amount - FROM tx_fees - WHERE miner IS NOT NULL - GROUP BY miner -), -sender_fee_deduction AS ( - SELECT sender AS address, -SUM(fee) AS amount - FROM tx_fees - WHERE sender IS NOT NULL - GROUP BY sender -), -trace_inflows AS ( - SELECT - tr."to_address" AS address, - SUM(tr."value") AS amount - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRACES" tr - WHERE tr."status" = 1 - AND tr."to_address" IS NOT NULL - AND (tr."trace_type" IS NULL OR LOWER(tr."trace_type") != 'reward') - AND (tr."call_type" IS NULL OR LOWER(tr."call_type") NOT IN ('delegatecall','callcode','staticcall')) - GROUP BY tr."to_address" -), -trace_outflows AS ( - SELECT - tr."from_address" AS address, - -SUM(tr."value") AS amount - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRACES" tr - WHERE tr."status" = 1 - AND tr."from_address" IS NOT NULL - AND (tr."trace_type" IS NULL OR LOWER(tr."trace_type") != 'reward') - AND (tr."call_type" IS NULL OR LOWER(tr."call_type") NOT IN ('delegatecall','callcode','staticcall')) - GROUP BY tr."from_address" -), -all_flows AS ( - SELECT address, amount FROM trace_inflows - UNION ALL - SELECT address, amount FROM trace_outflows - UNION ALL - SELECT address, amount FROM miner_fee_income - UNION ALL - SELECT address, amount FROM sender_fee_deduction -), -net_balances AS ( - SELECT address, SUM(amount) AS net_balance - FROM all_flows - WHERE address IS NOT NULL - GROUP BY address -), -top10 AS ( - SELECT address, net_balance - FROM net_balances - ORDER BY net_balance DESC - LIMIT 10 -) +WITH tx_fees AS + (SELECT t."from_address" AS sender, + b."miner" AS miner, + (t."receipt_gas_used" * t."gas_price") AS fee + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRANSACTIONS" t + JOIN "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."BLOCKS" b ON t."block_hash" = b."hash" + WHERE t."receipt_status" = 1), + miner_fee_income AS + (SELECT miner AS address, + SUM(fee) AS amount + FROM tx_fees + WHERE miner IS NOT NULL + GROUP BY miner), + sender_fee_deduction AS + (SELECT sender AS address, -SUM(fee) AS amount + FROM tx_fees + WHERE sender IS NOT NULL + GROUP BY sender), + trace_inflows AS + (SELECT tr."to_address" AS address, + SUM(tr."value") AS amount + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRACES" tr + WHERE tr."status" = 1 + AND tr."to_address" IS NOT NULL + AND (tr."trace_type" IS NULL + OR LOWER(tr."trace_type") != 'reward') + AND (tr."call_type" IS NULL + OR LOWER(tr."call_type") NOT IN ('delegatecall', + 'callcode', + 'staticcall')) + GROUP BY tr."to_address"), + trace_outflows AS + (SELECT tr."from_address" AS address, -SUM(tr."value") AS amount + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TRACES" tr + WHERE tr."status" = 1 + AND tr."from_address" IS NOT NULL + AND (tr."trace_type" IS NULL + OR LOWER(tr."trace_type") != 'reward') + AND (tr."call_type" IS NULL + OR LOWER(tr."call_type") NOT IN ('delegatecall', + 'callcode', + 'staticcall')) + GROUP BY tr."from_address"), + all_flows AS + (SELECT address, + amount + FROM trace_inflows + UNION ALL SELECT address, + amount + FROM trace_outflows + UNION ALL SELECT address, + amount + FROM miner_fee_income + UNION ALL SELECT address, + amount + FROM sender_fee_deduction), + net_balances AS + (SELECT address, + SUM(amount) AS net_balance + FROM all_flows + WHERE address IS NOT NULL + GROUP BY address), + top10 AS + (SELECT address, + net_balance + FROM net_balances + ORDER BY net_balance DESC + LIMIT 10) SELECT ROUND(AVG(net_balance / POWER(10, 15)), 2) AS avg_balance_quadrillions FROM top10; diff --git a/spider2/queries/snow_sf_bq017.sql b/spider2/queries/snow_sf_bq017.sql index 9abf626bcdc656aa7b78a41af7587effb7a777ed..d3dbcb8fad8ec821a16d4749f93ef7cc9378446d 100644 --- a/spider2/queries/snow_sf_bq017.sql +++ b/spider2/queries/snow_sf_bq017.sql @@ -1,41 +1,38 @@ -with "denmark" as ( - select st_collect(to_geography("PF"."geometry")) as "geom" - from "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES" as "PF", - lateral flatten(input => "PF"."all_tags") as "TAG" - where "PF"."feature_type" = 'multipolygons' - and "TAG"."VALUE":"key"::string = 'wikidata' - and "TAG"."VALUE":"value"::string = 'Q35' -), -"highway_lines_raw" as ( - select - "PF"."osm_id" as "osm_id", - "PF"."geometry" as "geometry", - max(case when "TAG"."VALUE":"key"::string = 'highway' then "TAG"."VALUE":"value"::string end) as "highway_type" - from "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES" as "PF", - lateral flatten(input => "PF"."all_tags") as "TAG" - where "PF"."feature_type" = 'lines' - group by "PF"."osm_id", "PF"."geometry" - having max(case when "TAG"."VALUE":"key"::string = 'highway' then "TAG"."VALUE":"value"::string end) is not null -), -"highway_lines" as ( - select - "osm_id", - to_geography("geometry") as "geom", - "highway_type" - from "highway_lines_raw" -), -"lengths" as ( - select - "HL"."highway_type" as "highway_type", - st_length(st_intersection("D"."geom", "HL"."geom")) as "length_m" - from "highway_lines" as "HL" - cross join "denmark" as "D" - where st_intersects("D"."geom", "HL"."geom") -) -select - "highway_type", - sum("length_m") as "total_length_m" -from "lengths" -group by "highway_type" -order by "total_length_m" desc -limit 5; +WITH "denmark" AS + (SELECT st_collect(to_geography("PF"."geometry")) AS "geom" + FROM "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES" AS "PF", + LATERAL flatten(INPUT => "PF"."all_tags") AS "TAG" + WHERE "PF"."feature_type" = 'multipolygons' + AND "TAG"."VALUE":"key"::string = 'wikidata' + AND "TAG"."VALUE":"value"::string = 'Q35'), + "highway_lines_raw" AS + (SELECT "PF"."osm_id" AS "osm_id", + "PF"."geometry" AS "geometry", + max(CASE + WHEN "TAG"."VALUE":"key"::string = 'highway' THEN "TAG"."VALUE":"value"::string + END) AS "highway_type" + FROM "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES" AS "PF", + LATERAL flatten(INPUT => "PF"."all_tags") AS "TAG" + WHERE "PF"."feature_type" = 'lines' + GROUP BY "PF"."osm_id", + "PF"."geometry" + HAVING max(CASE + WHEN "TAG"."VALUE":"key"::string = 'highway' THEN "TAG"."VALUE":"value"::string + END) IS NOT NULL), + "highway_lines" AS + (SELECT "osm_id", + to_geography("geometry") AS "geom", + "highway_type" + FROM "highway_lines_raw"), + "lengths" AS + (SELECT "HL"."highway_type" AS "highway_type", + st_length(st_intersection("D"."geom", "HL"."geom")) AS "length_m" + FROM "highway_lines" AS "HL" + CROSS JOIN "denmark" AS "D" + WHERE st_intersects("D"."geom", "HL"."geom")) +SELECT "highway_type", + sum("length_m") AS "total_length_m" +FROM "lengths" +GROUP BY "highway_type" +ORDER BY "total_length_m" DESC +LIMIT 5; diff --git a/spider2/queries/snow_sf_bq028.sql b/spider2/queries/snow_sf_bq028.sql index 221e0bf641350e6fbcb17577a56a3dd5ca14af4e..b83b8d0d10db2fbf9f38db894aec4c92f2778059 100644 --- a/spider2/queries/snow_sf_bq028.sql +++ b/spider2/queries/snow_sf_bq028.sql @@ -1,57 +1,38 @@ -SELECT - q."package_name", - q."version", - q."github_stars" -FROM ( - WITH latest_release AS ( - SELECT - pv."Name", - pv."Version" - FROM "DEPS_DEV_V1"."DEPS_DEV_V1"."PACKAGEVERSIONS" pv - WHERE pv."System" = 'NPM' - AND pv."Name" NOT LIKE '%>%' - AND COALESCE((pv."VersionInfo":"IsRelease")::BOOLEAN, FALSE) - QUALIFY ROW_NUMBER() OVER ( - PARTITION BY pv."Name" - ORDER BY COALESCE(pv."UpstreamPublishedAt", pv."SnapshotAt") DESC, pv."Version" DESC - ) = 1 - ), - latest_project AS ( - SELECT - pr."Name" AS "ProjectName", - pr."StarsCount" - FROM "DEPS_DEV_V1"."DEPS_DEV_V1"."PROJECTS" pr - WHERE pr."Type" = 'GITHUB' - QUALIFY ROW_NUMBER() OVER ( - PARTITION BY pr."Name" - ORDER BY pr."SnapshotAt" DESC - ) = 1 - ), - package_project AS ( - SELECT DISTINCT - pvtp."Name", - pvtp."Version", - pvtp."ProjectName" - FROM "DEPS_DEV_V1"."DEPS_DEV_V1"."PACKAGEVERSIONTOPROJECT" pvtp - WHERE pvtp."System" = 'NPM' - AND pvtp."ProjectType" = 'GITHUB' - AND pvtp."RelationType" = 'SOURCE_REPO_TYPE' - ) - SELECT - lr."Name" AS "package_name", - lr."Version" AS "version", - lp."StarsCount" AS "github_stars", - ROW_NUMBER() OVER ( - PARTITION BY lr."Name" - ORDER BY lp."StarsCount" DESC, mp."ProjectName" - ) AS rn - FROM latest_release lr - JOIN package_project mp - ON mp."Name" = lr."Name" - AND mp."Version" = lr."Version" - JOIN latest_project lp - ON lp."ProjectName" = mp."ProjectName" -) q +SELECT q."package_name", + q."version", + q."github_stars" +FROM + (WITH latest_release AS + (SELECT pv."Name", + pv."Version" + FROM "DEPS_DEV_V1"."DEPS_DEV_V1"."PACKAGEVERSIONS" pv + WHERE pv."System" = 'NPM' + AND pv."Name" NOT LIKE '%>%' + AND COALESCE((pv."VersionInfo":"IsRelease")::BOOLEAN, FALSE) QUALIFY ROW_NUMBER() OVER (PARTITION BY pv."Name" + ORDER BY COALESCE(pv."UpstreamPublishedAt", pv."SnapshotAt") DESC, pv."Version" DESC) = 1), + latest_project AS + (SELECT pr."Name" AS "ProjectName", + pr."StarsCount" + FROM "DEPS_DEV_V1"."DEPS_DEV_V1"."PROJECTS" pr + WHERE pr."Type" = 'GITHUB' QUALIFY ROW_NUMBER() OVER (PARTITION BY pr."Name" + ORDER BY pr."SnapshotAt" DESC) = 1), + package_project AS + (SELECT DISTINCT pvtp."Name", + pvtp."Version", + pvtp."ProjectName" + FROM "DEPS_DEV_V1"."DEPS_DEV_V1"."PACKAGEVERSIONTOPROJECT" pvtp + WHERE pvtp."System" = 'NPM' + AND pvtp."ProjectType" = 'GITHUB' + AND pvtp."RelationType" = 'SOURCE_REPO_TYPE') SELECT lr."Name" AS "package_name", + lr."Version" AS "version", + lp."StarsCount" AS "github_stars", + ROW_NUMBER() OVER (PARTITION BY lr."Name" + ORDER BY lp."StarsCount" DESC, mp."ProjectName") AS rn + FROM latest_release lr + JOIN package_project mp ON mp."Name" = lr."Name" + AND mp."Version" = lr."Version" + JOIN latest_project lp ON lp."ProjectName" = mp."ProjectName") q WHERE q.rn = 1 -ORDER BY q."github_stars" DESC, q."package_name" +ORDER BY q."github_stars" DESC, + q."package_name" LIMIT 8 diff --git a/spider2/queries/snow_sf_bq033.sql b/spider2/queries/snow_sf_bq033.sql index aca103a754f363d7f3f7fc458142462b29cefde2..52b3f828b774240d17df263ef4e8fae31370dccc 100644 --- a/spider2/queries/snow_sf_bq033.sql +++ b/spider2/queries/snow_sf_bq033.sql @@ -1,37 +1,26 @@ -WITH date_series AS ( - SELECT - DATE_FROM_PARTS(2008, 1, 1) AS month_start - UNION ALL - SELECT - DATEADD(MONTH, 1, month_start) - FROM date_series - WHERE month_start < '2022-12-01' -), -filtered_data AS ( - SELECT - TO_CHAR(TRY_TO_DATE(TO_VARCHAR("filing_date"), 'YYYYMMDD'), 'YYYYMM') AS year_month, - "publication_number" - FROM - "PATENTS"."PUBLICATIONS", - LATERAL FLATTEN("abstract_localized") abs - WHERE - "country_code" = 'US' - AND LOWER(abs.value:"text"::STRING) LIKE '%internet of things%' - AND "filing_date" BETWEEN 20080101 AND 20221231 - AND "filing_date" != 0 - GROUP BY year_month, "publication_number" -), -monthly_counts AS ( - SELECT - year_month, - COUNT("publication_number") AS application_count - FROM filtered_data - GROUP BY year_month -) -SELECT - TO_CHAR(ds.month_start, 'YYYYMM') AS "PATENT_DATE_YEARMONTH", - COALESCE(mc.application_count, 0) AS "NUMBER_OF_PATENT_APPLICATIONS" +WITH date_series AS + (SELECT DATE_FROM_PARTS(2008, 1, 1) AS month_start + UNION ALL SELECT DATEADD(MONTH, 1, month_start) + FROM date_series + WHERE month_start < '2022-12-01'), + filtered_data AS + (SELECT TO_CHAR(TRY_TO_DATE(TO_VARCHAR("filing_date"), 'YYYYMMDD'), 'YYYYMM') AS year_month, + "publication_number" + FROM "PATENTS"."PUBLICATIONS", + LATERAL FLATTEN("abstract_localized") ABS + WHERE "country_code" = 'US' + AND LOWER(abs.value:"text"::STRING) LIKE '%internet of things%' + AND "filing_date" BETWEEN 20080101 AND 20221231 + AND "filing_date" != 0 + GROUP BY year_month, + "publication_number"), + monthly_counts AS + (SELECT year_month, + COUNT("publication_number") AS application_count + FROM filtered_data + GROUP BY year_month) +SELECT TO_CHAR(ds.month_start, 'YYYYMM') AS "PATENT_DATE_YEARMONTH", + COALESCE(mc.application_count, 0) AS "NUMBER_OF_PATENT_APPLICATIONS" FROM date_series ds -LEFT JOIN monthly_counts mc - ON TO_CHAR(ds.month_start, 'YYYYMM') = mc.year_month +LEFT JOIN monthly_counts mc ON TO_CHAR(ds.month_start, 'YYYYMM') = mc.year_month ORDER BY "PATENT_DATE_YEARMONTH" diff --git a/spider2/queries/snow_sf_bq037.sql b/spider2/queries/snow_sf_bq037.sql index c2d2c2caa4f9d60e7d53d9e2359b65ce8a58c2d9..28a12aa8fbe78fba6329b6d561081bee2100a18f 100644 --- a/spider2/queries/snow_sf_bq037.sql +++ b/spider2/queries/snow_sf_bq037.sql @@ -1,39 +1,35 @@ -WITH min_max AS ( - SELECT - "reference_bases", - MIN("start_position") as min_start, - MAX("start_position") as max_start, - COUNT(*) as total_count - FROM HUMAN_GENOME_VARIANTS.HUMAN_GENOME_VARIANTS._1000_GENOMES_PHASE_3_OPTIMIZED_SCHEMA_VARIANTS_20150220 - WHERE "reference_bases" IN ('AT', 'TA') - GROUP BY "reference_bases" -), -min_counts AS ( - SELECT - v."reference_bases", - v."start_position", - COUNT(*) as extreme_count - FROM HUMAN_GENOME_VARIANTS.HUMAN_GENOME_VARIANTS._1000_GENOMES_PHASE_3_OPTIMIZED_SCHEMA_VARIANTS_20150220 v - INNER JOIN min_max mm ON v."reference_bases" = mm."reference_bases" - WHERE v."start_position" = mm.min_start - GROUP BY v."reference_bases", v."start_position" -), -max_counts AS ( - SELECT - v."reference_bases", - v."start_position", - COUNT(*) as extreme_count - FROM HUMAN_GENOME_VARIANTS.HUMAN_GENOME_VARIANTS._1000_GENOMES_PHASE_3_OPTIMIZED_SCHEMA_VARIANTS_20150220 v - INNER JOIN min_max mm ON v."reference_bases" = mm."reference_bases" - WHERE v."start_position" = mm.max_start - GROUP BY v."reference_bases", v."start_position" -) -SELECT - mm."reference_bases", - mm.min_start, - mm.max_start, - COALESCE(mc.extreme_count, 0) * 1.0 / mm.total_count AS prop_min, - COALESCE(mx.extreme_count, 0) * 1.0 / mm.total_count AS prop_max +WITH min_max AS + (SELECT "reference_bases", + MIN("start_position") AS min_start, + MAX("start_position") AS max_start, + COUNT(*) AS total_count + FROM HUMAN_GENOME_VARIANTS.HUMAN_GENOME_VARIANTS._1000_GENOMES_PHASE_3_OPTIMIZED_SCHEMA_VARIANTS_20150220 + WHERE "reference_bases" IN ('AT', + 'TA') + GROUP BY "reference_bases"), + min_counts AS + (SELECT v."reference_bases", + v."start_position", + COUNT(*) AS extreme_count + FROM HUMAN_GENOME_VARIANTS.HUMAN_GENOME_VARIANTS._1000_GENOMES_PHASE_3_OPTIMIZED_SCHEMA_VARIANTS_20150220 v + INNER JOIN min_max mm ON v."reference_bases" = mm."reference_bases" + WHERE v."start_position" = mm.min_start + GROUP BY v."reference_bases", + v."start_position"), + max_counts AS + (SELECT v."reference_bases", + v."start_position", + COUNT(*) AS extreme_count + FROM HUMAN_GENOME_VARIANTS.HUMAN_GENOME_VARIANTS._1000_GENOMES_PHASE_3_OPTIMIZED_SCHEMA_VARIANTS_20150220 v + INNER JOIN min_max mm ON v."reference_bases" = mm."reference_bases" + WHERE v."start_position" = mm.max_start + GROUP BY v."reference_bases", + v."start_position") +SELECT mm."reference_bases", + mm.min_start, + mm.max_start, + COALESCE(mc.extreme_count, 0) * 1.0 / mm.total_count AS prop_min, + COALESCE(mx.extreme_count, 0) * 1.0 / mm.total_count AS prop_max FROM min_max mm LEFT JOIN min_counts mc ON mm."reference_bases" = mc."reference_bases" LEFT JOIN max_counts mx ON mm."reference_bases" = mx."reference_bases" diff --git a/spider2/queries/snow_sf_bq043.sql b/spider2/queries/snow_sf_bq043.sql index 5ec51d3d7da31a4c512d93c1758d802a0f401542..3a4cc8c04b7ce24319d4a11599be4be5eb4797ab 100644 --- a/spider2/queries/snow_sf_bq043.sql +++ b/spider2/queries/snow_sf_bq043.sql @@ -1,49 +1,46 @@ -WITH "cdkn2a_cases" AS ( - SELECT DISTINCT "case_barcode" - FROM "TCGA"."TCGA_VERSIONED"."SOMATIC_MUTATION_HG19_DCC_2017_02" - WHERE "project_short_name" = 'TCGA-BLCA' - AND "Hugo_Symbol" = 'CDKN2A' - AND "Mutation_Status" = 'Somatic' - UNION - SELECT DISTINCT "case_barcode" - FROM "TCGA"."TCGA_VERSIONED"."SOMATIC_MUTATION_HG19_MC3_2017_02" - WHERE "project_short_name" = 'TCGA-BLCA' - AND "Hugo_Symbol" = 'CDKN2A' -), -"expr_hg19" AS ( - SELECT - e."case_barcode", - MAX(IFF(e."HGNC_gene_symbol" = 'MDM2', e."normalized_count", NULL)) AS "MDM2_normalized_count", - MAX(IFF(e."HGNC_gene_symbol" = 'TP53', e."normalized_count", NULL)) AS "TP53_normalized_count", - MAX(IFF(e."HGNC_gene_symbol" = 'CDKN1A', e."normalized_count", NULL)) AS "CDKN1A_normalized_count", - MAX(IFF(e."HGNC_gene_symbol" = 'CCNE1', e."normalized_count", NULL)) AS "CCNE1_normalized_count" - FROM "TCGA"."TCGA_VERSIONED"."RNASEQ_HG19_GDC_2017_02" e - WHERE e."project_short_name" = 'TCGA-BLCA' - AND e."HGNC_gene_symbol" IN ('MDM2','TP53','CDKN1A','CCNE1') - AND e."sample_barcode" LIKE '%-01%' -- Primary Tumor samples - GROUP BY e."case_barcode" -) -SELECT - c."submitter_id" AS "case_barcode", - e."MDM2_normalized_count", - e."TP53_normalized_count", - e."CDKN1A_normalized_count", - e."CCNE1_normalized_count", - c."proj__project_id" AS "project_id", - c."primary_site", - c."disease_type", - c."demo__gender" AS "gender", - c."demo__race" AS "race", - c."demo__ethnicity" AS "ethnicity", - c."demo__vital_status" AS "vital_status", - c."diag__age_at_diagnosis" AS "age_at_diagnosis_days", - c."diag__year_of_diagnosis" AS "year_of_diagnosis", - c."diag__ajcc_pathologic_stage" AS "ajcc_pathologic_stage", - c."diag__ajcc_clinical_stage" AS "ajcc_clinical_stage" +WITH "cdkn2a_cases" AS + (SELECT DISTINCT "case_barcode" + FROM "TCGA"."TCGA_VERSIONED"."SOMATIC_MUTATION_HG19_DCC_2017_02" + WHERE "project_short_name" = 'TCGA-BLCA' + AND "Hugo_Symbol" = 'CDKN2A' + AND "Mutation_Status" = 'Somatic' + UNION SELECT DISTINCT "case_barcode" + FROM "TCGA"."TCGA_VERSIONED"."SOMATIC_MUTATION_HG19_MC3_2017_02" + WHERE "project_short_name" = 'TCGA-BLCA' + AND "Hugo_Symbol" = 'CDKN2A'), + "expr_hg19" AS + (SELECT e."case_barcode", + MAX(IFF(e."HGNC_gene_symbol" = 'MDM2', e."normalized_count", NULL)) AS "MDM2_normalized_count", + MAX(IFF(e."HGNC_gene_symbol" = 'TP53', e."normalized_count", NULL)) AS "TP53_normalized_count", + MAX(IFF(e."HGNC_gene_symbol" = 'CDKN1A', e."normalized_count", NULL)) AS "CDKN1A_normalized_count", + MAX(IFF(e."HGNC_gene_symbol" = 'CCNE1', e."normalized_count", NULL)) AS "CCNE1_normalized_count" + FROM "TCGA"."TCGA_VERSIONED"."RNASEQ_HG19_GDC_2017_02" e + WHERE e."project_short_name" = 'TCGA-BLCA' + AND e."HGNC_gene_symbol" IN ('MDM2', + 'TP53', + 'CDKN1A', + 'CCNE1') + AND e."sample_barcode" LIKE '%-01%' -- Primary Tumor samples + + GROUP BY e."case_barcode") +SELECT c."submitter_id" AS "case_barcode", + e."MDM2_normalized_count", + e."TP53_normalized_count", + e."CDKN1A_normalized_count", + e."CCNE1_normalized_count", + c."proj__project_id" AS "project_id", + c."primary_site", + c."disease_type", + c."demo__gender" AS "gender", + c."demo__race" AS "race", + c."demo__ethnicity" AS "ethnicity", + c."demo__vital_status" AS "vital_status", + c."diag__age_at_diagnosis" AS "age_at_diagnosis_days", + c."diag__year_of_diagnosis" AS "year_of_diagnosis", + c."diag__ajcc_pathologic_stage" AS "ajcc_pathologic_stage", + c."diag__ajcc_clinical_stage" AS "ajcc_clinical_stage" FROM "TCGA"."TCGA_VERSIONED"."CLINICAL_GDC_R39" c -JOIN "cdkn2a_cases" m - ON c."submitter_id" = m."case_barcode" -LEFT JOIN "expr_hg19" e - ON e."case_barcode" = c."submitter_id" +JOIN "cdkn2a_cases" m ON c."submitter_id" = m."case_barcode" +LEFT JOIN "expr_hg19" e ON e."case_barcode" = c."submitter_id" WHERE c."proj__project_id" = 'TCGA-BLCA' ORDER BY c."submitter_id"; diff --git a/spider2/queries/snow_sf_bq050.sql b/spider2/queries/snow_sf_bq050.sql index ca8544136f184dff98665b1b46421f05cce656e9..891d29aa1128e391349716e22063e7893c69b63b 100644 --- a/spider2/queries/snow_sf_bq050.sql +++ b/spider2/queries/snow_sf_bq050.sql @@ -1,114 +1,101 @@ -WITH "trips_2014" AS ( - SELECT - t.*, - TO_TIMESTAMP_NTZ("starttime", 6) AS "start_ts" - FROM "NEW_YORK_CITIBIKE_1"."NEW_YORK_CITIBIKE"."CITIBIKE_TRIPS" t - WHERE YEAR(TO_TIMESTAMP_NTZ("starttime", 6)) = 2014 -), -"trip_with_zips" AS ( - SELECT - t.*, - CAST(szs."zip_code" AS NUMBER) AS "start_zip", - CAST(sze."zip_code" AS NUMBER) AS "end_zip" - FROM "trips_2014" t - JOIN "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" szs - ON szs."state_code" = 'NY' +WITH "trips_2014" AS + (SELECT t.*, + TO_TIMESTAMP_NTZ("starttime", 6) AS "start_ts" + FROM "NEW_YORK_CITIBIKE_1"."NEW_YORK_CITIBIKE"."CITIBIKE_TRIPS" t + WHERE YEAR(TO_TIMESTAMP_NTZ("starttime", 6)) = 2014), + "trip_with_zips" AS + (SELECT t.*, + CAST(szs."zip_code" AS NUMBER) AS "start_zip", + CAST(sze."zip_code" AS NUMBER) AS "end_zip" + FROM "trips_2014" t + JOIN "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" szs ON szs."state_code" = 'NY' AND ST_WITHIN(ST_POINT(t."start_station_longitude", t."start_station_latitude"), TO_GEOGRAPHY(szs."zip_code_geom")) - JOIN "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" sze - ON sze."state_code" = 'NY' - AND ST_WITHIN(ST_POINT(t."end_station_longitude", t."end_station_latitude"), TO_GEOGRAPHY(sze."zip_code_geom")) -), -"trip_neighborhoods" AS ( - SELECT - twz.*, - czs."borough" AS "start_borough", - czs."neighborhood" AS "start_neighborhood", - cze."borough" AS "end_borough", - cze."neighborhood" AS "end_neighborhood" - FROM "trip_with_zips" twz - JOIN "NEW_YORK_CITIBIKE_1"."CYCLISTIC"."ZIP_CODES" czs - ON czs."zip" = twz."start_zip" - JOIN "NEW_YORK_CITIBIKE_1"."CYCLISTIC"."ZIP_CODES" cze - ON cze."zip" = twz."end_zip" -), -"weather_central_park" AS ( - SELECT - w."year", - w."mo", - w."da", - w."wban", - NULLIF(w."temp", 9999.9) AS "temp_f", - CAST(NULLIF(w."wdsp", '999.9') AS FLOAT) AS "wdsp_knots", - NULLIF(w."prcp", 99.99) AS "prcp_inches" - FROM "NEW_YORK_CITIBIKE_1"."NOAA_GSOD"."GSOD2014" w - WHERE w."wban" = '94728' AND w."year" = '2014' -), -"trip_with_weather" AS ( - SELECT - tn.*, - wc."temp_f", - wc."wdsp_knots", - wc."prcp_inches" - FROM "trip_neighborhoods" tn - LEFT JOIN "weather_central_park" wc - ON wc."mo" = LPAD(CAST(EXTRACT(MONTH FROM tn."start_ts") AS VARCHAR), 2, '0') - AND wc."da" = LPAD(CAST(EXTRACT(DAY FROM tn."start_ts") AS VARCHAR), 2, '0') - AND wc."year" = '2014' -), -"aggregated" AS ( - SELECT - "start_borough", - "start_neighborhood", - "end_borough", - "end_neighborhood", - COUNT(*) AS "total_trips", - ROUND(AVG("tripduration")/60, 1) AS "avg_trip_duration_min", - ROUND(AVG("temp_f"), 1) AS "avg_temp", - ROUND(AVG("wdsp_knots" * 0.514444), 1) AS "avg_wind_speed_ms", - ROUND(AVG("prcp_inches" * 2.54), 1) AS "avg_precip_cm" - FROM "trip_with_weather" - GROUP BY "start_borough","start_neighborhood","end_borough","end_neighborhood" -), -"monthly_counts" AS ( - SELECT - "start_neighborhood", - "end_neighborhood", - EXTRACT(MONTH FROM "start_ts") AS "month_num", - COUNT(*) AS "trips_in_month" - FROM "trip_with_weather" - GROUP BY "start_neighborhood","end_neighborhood",EXTRACT(MONTH FROM "start_ts") -), -"top_month" AS ( - SELECT - "start_neighborhood", - "end_neighborhood", - "month_num" - FROM ( - SELECT - "start_neighborhood", - "end_neighborhood", - "month_num", - "trips_in_month", - ROW_NUMBER() OVER ( - PARTITION BY "start_neighborhood","end_neighborhood" - ORDER BY "trips_in_month" DESC, "month_num" - ) AS "rn" - FROM "monthly_counts" - ) - WHERE "rn" = 1 -) -SELECT - a."start_borough", - a."start_neighborhood", - a."end_borough", - a."end_neighborhood", - a."total_trips", - a."avg_trip_duration_min", - a."avg_temp", - a."avg_wind_speed_ms", - a."avg_precip_cm", - tm."month_num" AS "month_with_most_trips" + JOIN "NEW_YORK_CITIBIKE_1"."GEO_US_BOUNDARIES"."ZIP_CODES" sze ON sze."state_code" = 'NY' + AND ST_WITHIN(ST_POINT(t."end_station_longitude", t."end_station_latitude"), TO_GEOGRAPHY(sze."zip_code_geom"))), + "trip_neighborhoods" AS + (SELECT twz.*, + czs."borough" AS "start_borough", + czs."neighborhood" AS "start_neighborhood", + cze."borough" AS "end_borough", + cze."neighborhood" AS "end_neighborhood" + FROM "trip_with_zips" twz + JOIN "NEW_YORK_CITIBIKE_1"."CYCLISTIC"."ZIP_CODES" czs ON czs."zip" = twz."start_zip" + JOIN "NEW_YORK_CITIBIKE_1"."CYCLISTIC"."ZIP_CODES" cze ON cze."zip" = twz."end_zip"), + "weather_central_park" AS + (SELECT w."year", + w."mo", + w."da", + w."wban", + NULLIF(w."temp", 9999.9) AS "temp_f", + CAST(NULLIF(w."wdsp", '999.9') AS FLOAT) AS "wdsp_knots", + NULLIF(w."prcp", 99.99) AS "prcp_inches" + FROM "NEW_YORK_CITIBIKE_1"."NOAA_GSOD"."GSOD2014" w + WHERE w."wban" = '94728' + AND w."year" = '2014'), + "trip_with_weather" AS + (SELECT tn.*, + wc."temp_f", + wc."wdsp_knots", + wc."prcp_inches" + FROM "trip_neighborhoods" tn + LEFT JOIN "weather_central_park" wc ON wc."mo" = LPAD(CAST(EXTRACT(MONTH + FROM tn."start_ts") AS VARCHAR), 2, '0') + AND wc."da" = LPAD(CAST(EXTRACT(DAY + FROM tn."start_ts") AS VARCHAR), 2, '0') + AND wc."year" = '2014'), + "aggregated" AS + (SELECT "start_borough", + "start_neighborhood", + "end_borough", + "end_neighborhood", + COUNT(*) AS "total_trips", + ROUND(AVG("tripduration")/60, 1) AS "avg_trip_duration_min", + ROUND(AVG("temp_f"), 1) AS "avg_temp", + ROUND(AVG("wdsp_knots" * 0.514444), 1) AS "avg_wind_speed_ms", + ROUND(AVG("prcp_inches" * 2.54), 1) AS "avg_precip_cm" + FROM "trip_with_weather" + GROUP BY "start_borough", + "start_neighborhood", + "end_borough", + "end_neighborhood"), + "monthly_counts" AS + (SELECT "start_neighborhood", + "end_neighborhood", + EXTRACT(MONTH + FROM "start_ts") AS "month_num", + COUNT(*) AS "trips_in_month" + FROM "trip_with_weather" + GROUP BY "start_neighborhood", + "end_neighborhood", + EXTRACT(MONTH + FROM "start_ts")), + "top_month" AS + (SELECT "start_neighborhood", + "end_neighborhood", + "month_num" + FROM + (SELECT "start_neighborhood", + "end_neighborhood", + "month_num", + "trips_in_month", + ROW_NUMBER() OVER (PARTITION BY "start_neighborhood", "end_neighborhood" + ORDER BY "trips_in_month" DESC, "month_num") AS "rn" + FROM "monthly_counts") + WHERE "rn" = 1) +SELECT a."start_borough", + a."start_neighborhood", + a."end_borough", + a."end_neighborhood", + a."total_trips", + a."avg_trip_duration_min", + a."avg_temp", + a."avg_wind_speed_ms", + a."avg_precip_cm", + tm."month_num" AS "month_with_most_trips" FROM "aggregated" a -JOIN "top_month" tm - ON a."start_neighborhood" = tm."start_neighborhood" AND a."end_neighborhood" = tm."end_neighborhood" -ORDER BY a."start_borough", a."start_neighborhood", a."end_borough", a."end_neighborhood"; +JOIN "top_month" tm ON a."start_neighborhood" = tm."start_neighborhood" +AND a."end_neighborhood" = tm."end_neighborhood" +ORDER BY a."start_borough", + a."start_neighborhood", + a."end_borough", + a."end_neighborhood"; diff --git a/spider2/queries/snow_sf_bq052.sql b/spider2/queries/snow_sf_bq052.sql index e8e44d8637bcb49a9b18acb2d49009a25df42605..2e969f320933241f5da120d25f70b0e5bec1b94c 100644 --- a/spider2/queries/snow_sf_bq052.sql +++ b/spider2/queries/snow_sf_bq052.sql @@ -1,37 +1,34 @@ -WITH CpcFilteredPatents AS ( - SELECT DISTINCT - p."id", - p."title", - p."abstract" - FROM "PATENTSVIEW"."PATENTSVIEW"."PATENT" AS p - JOIN "PATENTSVIEW"."PATENTSVIEW"."CPC_CURRENT" AS cpc ON p."id" = cpc."patent_id" - WHERE p."country" = 'US' AND (cpc."subsection_id" = 'C05' OR cpc."group_id" = 'A01G') -) -SELECT - cfp."id" AS patent_id, - cfp."title", - core_app."date" AS application_date, - COUNT(DISTINCT CASE - WHEN citing_app."date"::DATE >= DATEADD(month, -1, core_app."date"::DATE) AND citing_app."date"::DATE < core_app."date"::DATE - THEN usc."patent_id" - ELSE NULL - END) AS num_backward_citations, - COUNT(DISTINCT CASE - WHEN citing_app."date"::DATE > core_app."date"::DATE AND citing_app."date"::DATE <= DATEADD(month, 1, core_app."date"::DATE) - THEN usc."patent_id" - ELSE NULL - END) AS num_forward_citations, - cfp."abstract" +WITH CpcFilteredPatents AS + (SELECT DISTINCT p."id", + p."title", + p."abstract" + FROM "PATENTSVIEW"."PATENTSVIEW"."PATENT" AS p + JOIN "PATENTSVIEW"."PATENTSVIEW"."CPC_CURRENT" AS cpc ON p."id" = cpc."patent_id" + WHERE p."country" = 'US' + AND (cpc."subsection_id" = 'C05' + OR cpc."group_id" = 'A01G')) +SELECT cfp."id" AS patent_id, + cfp."title", + core_app."date" AS application_date, + COUNT(DISTINCT CASE + WHEN citing_app."date"::DATE >= DATEADD(MONTH, -1, core_app."date"::DATE) + AND citing_app."date"::DATE < core_app."date"::DATE THEN usc."patent_id" + ELSE NULL + END) AS num_backward_citations, + COUNT(DISTINCT CASE + WHEN citing_app."date"::DATE > core_app."date"::DATE + AND citing_app."date"::DATE <= DATEADD(MONTH, 1, core_app."date"::DATE) THEN usc."patent_id" + ELSE NULL + END) AS num_forward_citations, + cfp."abstract" FROM CpcFilteredPatents AS cfp JOIN "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" AS core_app ON cfp."id" = core_app."patent_id" LEFT JOIN "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" AS usc ON cfp."id" = usc."citation_id" LEFT JOIN "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" AS citing_app ON usc."patent_id" = citing_app."patent_id" -GROUP BY - cfp."id", - cfp."title", - core_app."date", - cfp."abstract" -HAVING - num_backward_citations > 0 OR num_forward_citations > 0 -ORDER BY - application_date +GROUP BY cfp."id", + cfp."title", + core_app."date", + cfp."abstract" +HAVING num_backward_citations > 0 +OR num_forward_citations > 0 +ORDER BY application_date diff --git a/spider2/queries/snow_sf_bq057.sql b/spider2/queries/snow_sf_bq057.sql index 9a1defa70d5fd9e34ea5ade0bf426eaba6994b2b..05ab53d0f29406d8a0c4845a10dec5fb18e13f6a 100644 --- a/spider2/queries/snow_sf_bq057.sql +++ b/spider2/queries/snow_sf_bq057.sql @@ -1,112 +1,96 @@ -WITH monthly_transactions AS ( - SELECT - EXTRACT(MONTH FROM TO_TIMESTAMP("block_timestamp"/1000000)) as month_num, - "hash", - "input_count", - "output_count", - "input_value", - "output_value", - "outputs" - FROM CRYPTO.CRYPTO_BITCOIN.TRANSACTIONS - WHERE EXTRACT(YEAR FROM TO_TIMESTAMP("block_timestamp"/1000000)) = 2021 - AND "is_coinbase" = FALSE -), -potential_coinjoins AS ( - SELECT - month_num, - "hash", - "input_count", - "output_count", - "input_value", - "output_value", - "outputs" - FROM monthly_transactions - WHERE "output_count" > 2 - AND "output_value" <= "input_value" -), -transactions_with_output_values AS ( - SELECT - t.month_num, - t."hash", - t."input_count", - t."output_count", - t."input_value", - t."output_value", - output_flat.value:"value"::NUMBER as output_val - FROM potential_coinjoins t, - LATERAL FLATTEN(input => t."outputs") output_flat -), -equal_value_groups AS ( - SELECT - month_num, - "hash", - "input_count", - "output_count", - "input_value", - "output_value", - output_val, - COUNT(*) OVER (PARTITION BY "hash", output_val) as same_value_count - FROM transactions_with_output_values - WHERE output_val > 0 -), -coinjoin_transactions AS ( - SELECT DISTINCT - month_num, - "hash", - "input_count", - "output_count", - "input_value", - "output_value" - FROM equal_value_groups - WHERE same_value_count >= 2 -), -monthly_coinjoin_stats AS ( - SELECT - month_num, - COUNT(*) as coinjoin_count, - SUM("input_count") as total_coinjoin_inputs, - SUM("output_count") as total_coinjoin_outputs, - SUM("output_value") as total_coinjoin_volume - FROM coinjoin_transactions - GROUP BY month_num -), -monthly_total_stats AS ( - SELECT - month_num, - COUNT(*) as total_transactions, - SUM("input_count") as total_inputs, - SUM("output_count") as total_outputs, - SUM("output_value") as total_volume - FROM monthly_transactions - GROUP BY month_num -), -monthly_percentages AS ( - SELECT - t.month_num, - COALESCE(c.coinjoin_count, 0) as coinjoin_count, - t.total_transactions, - COALESCE(c.total_coinjoin_inputs, 0) as total_coinjoin_inputs, - COALESCE(c.total_coinjoin_outputs, 0) as total_coinjoin_outputs, - t.total_inputs, - t.total_outputs, - COALESCE(c.total_coinjoin_volume, 0) as total_coinjoin_volume, - t.total_volume, - ROUND((COALESCE(c.total_coinjoin_volume, 0)::DECIMAL / t.total_volume) * 100, 1) as pct_volume_coinjoin - FROM monthly_total_stats t - LEFT JOIN monthly_coinjoin_stats c ON t.month_num = c.month_num -), -highest_month AS ( - SELECT - month_num, - pct_volume_coinjoin, - ROW_NUMBER() OVER (ORDER BY pct_volume_coinjoin DESC) as rank - FROM monthly_percentages -) -SELECT - mp.month_num as month_with_highest_coinjoin_pct, - ROUND((mp.coinjoin_count::DECIMAL / mp.total_transactions) * 100, 1) as pct_transactions_coinjoin, - ROUND(((mp.total_coinjoin_inputs::DECIMAL / mp.total_inputs) + (mp.total_coinjoin_outputs::DECIMAL / mp.total_outputs)) * 50, 1) as pct_utxos_coinjoin, - mp.pct_volume_coinjoin +WITH monthly_transactions AS + (SELECT EXTRACT(MONTH + FROM TO_TIMESTAMP("block_timestamp"/1000000)) AS month_num, + "hash", + "input_count", + "output_count", + "input_value", + "output_value", + "outputs" + FROM CRYPTO.CRYPTO_BITCOIN.TRANSACTIONS + WHERE EXTRACT(YEAR + FROM TO_TIMESTAMP("block_timestamp"/1000000)) = 2021 + AND "is_coinbase" = FALSE), + potential_coinjoins AS + (SELECT month_num, + "hash", + "input_count", + "output_count", + "input_value", + "output_value", + "outputs" + FROM monthly_transactions + WHERE "output_count" > 2 + AND "output_value" <= "input_value"), + transactions_with_output_values AS + (SELECT t.month_num, + t."hash", + t."input_count", + t."output_count", + t."input_value", + t."output_value", + output_flat.value:"value"::NUMBER AS output_val + FROM potential_coinjoins t, + LATERAL FLATTEN(INPUT => t."outputs") output_flat), + equal_value_groups AS + (SELECT month_num, + "hash", + "input_count", + "output_count", + "input_value", + "output_value", + output_val, + COUNT(*) OVER (PARTITION BY "hash", output_val) AS same_value_count + FROM transactions_with_output_values + WHERE output_val > 0), + coinjoin_transactions AS + (SELECT DISTINCT month_num, + "hash", + "input_count", + "output_count", + "input_value", + "output_value" + FROM equal_value_groups + WHERE same_value_count >= 2), + monthly_coinjoin_stats AS + (SELECT month_num, + COUNT(*) AS coinjoin_count, + SUM("input_count") AS total_coinjoin_inputs, + SUM("output_count") AS total_coinjoin_outputs, + SUM("output_value") AS total_coinjoin_volume + FROM coinjoin_transactions + GROUP BY month_num), + monthly_total_stats AS + (SELECT month_num, + COUNT(*) AS total_transactions, + SUM("input_count") AS total_inputs, + SUM("output_count") AS total_outputs, + SUM("output_value") AS total_volume + FROM monthly_transactions + GROUP BY month_num), + monthly_percentages AS + (SELECT t.month_num, + COALESCE(c.coinjoin_count, 0) AS coinjoin_count, + t.total_transactions, + COALESCE(c.total_coinjoin_inputs, 0) AS total_coinjoin_inputs, + COALESCE(c.total_coinjoin_outputs, 0) AS total_coinjoin_outputs, + t.total_inputs, + t.total_outputs, + COALESCE(c.total_coinjoin_volume, 0) AS total_coinjoin_volume, + t.total_volume, + ROUND((COALESCE(c.total_coinjoin_volume, 0)::DECIMAL / t.total_volume) * 100, 1) AS pct_volume_coinjoin + FROM monthly_total_stats t + LEFT JOIN monthly_coinjoin_stats c ON t.month_num = c.month_num), + highest_month AS + (SELECT month_num, + pct_volume_coinjoin, + ROW_NUMBER() OVER ( + ORDER BY pct_volume_coinjoin DESC) AS rank + FROM monthly_percentages) +SELECT mp.month_num AS month_with_highest_coinjoin_pct, + ROUND((mp.coinjoin_count::DECIMAL / mp.total_transactions) * 100, 1) AS pct_transactions_coinjoin, + ROUND(((mp.total_coinjoin_inputs::DECIMAL / mp.total_inputs) + (mp.total_coinjoin_outputs::DECIMAL / mp.total_outputs)) * 50, 1) AS pct_utxos_coinjoin, + mp.pct_volume_coinjoin FROM monthly_percentages mp JOIN highest_month hm ON mp.month_num = hm.month_num WHERE hm.rank = 1 diff --git a/spider2/queries/snow_sf_bq068.sql b/spider2/queries/snow_sf_bq068.sql index c0fc4da38e145cd43991eed1a3cfee43f87bb058..b0d480b788bf2369862b365fe4e31affba98405c 100644 --- a/spider2/queries/snow_sf_bq068.sql +++ b/spider2/queries/snow_sf_bq068.sql @@ -1,43 +1,40 @@ -WITH date_range AS ( - SELECT - DATE_PART(EPOCH_MICROSECOND, '2014-03-01'::TIMESTAMP) AS start_timestamp, - DATE_PART(EPOCH_MICROSECOND, '2014-04-01'::TIMESTAMP) AS end_timestamp -), -address_transactions AS ( - -- Get all debits (inputs) within the date range - SELECT - FLATTENED.value::STRING AS address, - i."type" AS address_type, - -i."value" AS amount, - i."block_timestamp" - FROM "CRYPTO"."CRYPTO_BITCOIN_CASH"."INPUTS" i, - LATERAL FLATTEN(input => PARSE_JSON(i."addresses")) FLATTENED - WHERE i."block_timestamp" BETWEEN (SELECT start_timestamp FROM date_range) AND (SELECT end_timestamp FROM date_range) - - UNION ALL - - -- Get all credits (outputs) within the date range - SELECT - FLATTENED.value::STRING AS address, +WITH date_range AS + (SELECT DATE_PART(EPOCH_MICROSECOND, '2014-03-01'::TIMESTAMP) AS start_timestamp, + DATE_PART(EPOCH_MICROSECOND, '2014-04-01'::TIMESTAMP) AS end_timestamp), + address_transactions AS + (-- Get all debits (inputs) within the date range + SELECT FLATTENED.value::STRING AS address, + i."type" AS address_type, -i."value" AS amount, + i."block_timestamp" + FROM "CRYPTO"."CRYPTO_BITCOIN_CASH"."INPUTS" i, + LATERAL FLATTEN(INPUT => PARSE_JSON(i."addresses")) FLATTENED + WHERE i."block_timestamp" BETWEEN + (SELECT start_timestamp + FROM date_range) AND + (SELECT end_timestamp + FROM date_range) + UNION ALL -- Get all credits (outputs) within the date range + SELECT FLATTENED.value::STRING AS address, o."type" AS address_type, o."value" AS amount, o."block_timestamp" - FROM "CRYPTO"."CRYPTO_BITCOIN_CASH"."OUTPUTS" o, - LATERAL FLATTEN(input => PARSE_JSON(o."addresses")) FLATTENED - WHERE o."block_timestamp" BETWEEN (SELECT start_timestamp FROM date_range) AND (SELECT end_timestamp FROM date_range) -), -address_balances AS ( - SELECT - address, - address_type, - SUM(amount) AS final_balance - FROM address_transactions - GROUP BY address, address_type -) -SELECT - address_type, - MAX(final_balance) AS max_final_balance, - MIN(final_balance) AS min_final_balance + FROM "CRYPTO"."CRYPTO_BITCOIN_CASH"."OUTPUTS" o, + LATERAL FLATTEN(INPUT => PARSE_JSON(o."addresses")) FLATTENED + WHERE o."block_timestamp" BETWEEN + (SELECT start_timestamp + FROM date_range) AND + (SELECT end_timestamp + FROM date_range)), + address_balances AS + (SELECT address, + address_type, + SUM(amount) AS final_balance + FROM address_transactions + GROUP BY address, + address_type) +SELECT address_type, + MAX(final_balance) AS max_final_balance, + MIN(final_balance) AS min_final_balance FROM address_balances GROUP BY address_type ORDER BY address_type; diff --git a/spider2/queries/snow_sf_bq070.sql b/spider2/queries/snow_sf_bq070.sql index 254043b29f248708fb15a54785ce9c7bf27284ff..ed5749ae2025873fb4884ab3213399205fc6c197 100644 --- a/spider2/queries/snow_sf_bq070.sql +++ b/spider2/queries/snow_sf_bq070.sql @@ -1,95 +1,96 @@ -WITH base AS ( - SELECT - t."SOPInstanceUID", - t."SeriesInstanceUID", - t."StudyInstanceUID", - t."PatientID", - t."collection_id", - t."collection_name", - t."Rows", - t."Columns", - t."PixelSpacing", - t."LossyImageCompressionMethod", - t."VolumetricProperties", - t."Modality", - t."gcs_url", - sd.value:"SpecimenIdentifier"::STRING AS SPECIMEN_IDENTIFIER, - pams.value:"CodeValue"::STRING AS TISSUE_CODE, - pams.value:"CodeMeaning"::STRING AS TISSUE_MEANING - FROM "IDC"."IDC_V17"."DICOM_ALL" t - JOIN LATERAL FLATTEN(INPUT => t."SpecimenDescriptionSequence") sd - JOIN LATERAL FLATTEN(INPUT => sd.value:"PrimaryAnatomicStructureSequence") pas - JOIN LATERAL FLATTEN(INPUT => pas.value:"PrimaryAnatomicStructureModifierSequence") pams - JOIN LATERAL FLATTEN(INPUT => sd.value:"SpecimenPreparationSequence") sps - JOIN LATERAL FLATTEN(INPUT => sps.value:"SpecimenPreparationStepContentItemSequence") sp - JOIN LATERAL FLATTEN(INPUT => sp.value:"ConceptNameCodeSequence") cn - LEFT JOIN LATERAL FLATTEN(INPUT => sp.value:"ConceptCodeSequence", OUTER => TRUE) cc - WHERE t."Modality" = 'SM' - AND t."VolumetricProperties" = 'VOLUME' - AND ( - t."collection_name" IN ('TCGA-LUAD', 'TCGA-LUSC') OR - t."collection_id" IN ('tcga_luad', 'tcga_lusc') OR - t."tcia_api_collection_id" IN ('TCGA-LUAD', 'TCGA-LUSC') OR - t."idc_webapp_collection_id" IN ('TCGA-LUAD', 'TCGA-LUSC') - ) - AND cn.value:"CodeMeaning"::STRING = 'Embedding medium' - AND ( - UPPER(COALESCE(sp.value:"TextValue"::STRING, '')) = 'TISSUE FREEZING MEDIUM' - OR UPPER(COALESCE(cc.value:"CodeMeaning"::STRING, '')) = 'TISSUE FREEZING MEDIUM' - ) - AND ( - pams.value:"CodeValue"::STRING IN ('17621005', '86049000') - OR UPPER(COALESCE(pams.value:"CodeMeaning"::STRING, '')) IN ('NORMAL', 'NEOPLASM', 'TUMOR') - ) -), -labeled AS ( - SELECT DISTINCT - b."SOPInstanceUID", - b."SeriesInstanceUID", - b."StudyInstanceUID", - b."PatientID", - b."collection_id", - b."collection_name", - b."Rows", - b."Columns", - b."PixelSpacing", - b."LossyImageCompressionMethod", - b."gcs_url", - b.SPECIMEN_IDENTIFIER, - CASE - WHEN UPPER(COALESCE(b.TISSUE_MEANING, '')) LIKE 'NORMAL%' THEN 'normal' - WHEN UPPER(COALESCE(b.TISSUE_MEANING, '')) LIKE '%NEOPLASM%' OR UPPER(COALESCE(b.TISSUE_MEANING, '')) LIKE '%TUMOR%' THEN 'tumor' - WHEN b.TISSUE_CODE = '17621005' THEN 'normal' - WHEN b.TISSUE_CODE = '86049000' THEN 'tumor' - ELSE NULL - END AS TISSUE_TYPE, - CASE - WHEN ARRAY_CONTAINS(TO_VARIANT('ISO_10918_1'), b."LossyImageCompressionMethod") THEN 'jpeg' - WHEN ARRAY_CONTAINS(TO_VARIANT('ISO_15444_1'), b."LossyImageCompressionMethod") THEN 'jpeg2000' - ELSE 'other' - END AS COMPRESSION_TYPE, - CASE - WHEN b."collection_name" = 'TCGA-LUAD' OR b."collection_id" = 'tcga_luad' THEN 'luad' - WHEN b."collection_name" = 'TCGA-LUSC' OR b."collection_id" = 'tcga_lusc' THEN 'lscc' - ELSE NULL - END AS CANCER_SUBTYPE - FROM base b -) -SELECT - l."SeriesInstanceUID" AS "DIGITAL_SLIDE_ID", - l."StudyInstanceUID" AS "CASE_ID", - l.SPECIMEN_IDENTIFIER AS "PHYSICAL_SLIDE_ID", - l."PatientID" AS "PATIENT_ID", - l."collection_id" AS "COLLECTION_ID", - l."SOPInstanceUID" AS "INSTANCE_ID", - l."gcs_url" AS "GCS_URL", - l."Columns" AS "WIDTH", - l."Rows" AS "HEIGHT", - ROUND(TRY_TO_DOUBLE((l."PixelSpacing"[0])::STRING), 4) AS "PIXEL_SPACING", - l.COMPRESSION_TYPE AS "COMPRESSION_TYPE", - l.TISSUE_TYPE AS "TISSUE_TYPE", - l.CANCER_SUBTYPE AS "CANCER_SUBTYPE" +WITH base AS + (SELECT t."SOPInstanceUID", + t."SeriesInstanceUID", + t."StudyInstanceUID", + t."PatientID", + t."collection_id", + t."collection_name", + t."Rows", + t."Columns", + t."PixelSpacing", + t."LossyImageCompressionMethod", + t."VolumetricProperties", + t."Modality", + t."gcs_url", + sd.value:"SpecimenIdentifier"::STRING AS SPECIMEN_IDENTIFIER, + pams.value:"CodeValue"::STRING AS TISSUE_CODE, + pams.value:"CodeMeaning"::STRING AS TISSUE_MEANING + FROM "IDC"."IDC_V17"."DICOM_ALL" t + JOIN LATERAL FLATTEN(INPUT => t."SpecimenDescriptionSequence") sd + JOIN LATERAL FLATTEN(INPUT => sd.value:"PrimaryAnatomicStructureSequence") pas + JOIN LATERAL FLATTEN(INPUT => pas.value:"PrimaryAnatomicStructureModifierSequence") pams + JOIN LATERAL FLATTEN(INPUT => sd.value:"SpecimenPreparationSequence") sps + JOIN LATERAL FLATTEN(INPUT => sps.value:"SpecimenPreparationStepContentItemSequence") sp + JOIN LATERAL FLATTEN(INPUT => sp.value:"ConceptNameCodeSequence") cn + LEFT JOIN LATERAL FLATTEN(INPUT => sp.value:"ConceptCodeSequence", OUTER => TRUE) cc + WHERE t."Modality" = 'SM' + AND t."VolumetricProperties" = 'VOLUME' + AND (t."collection_name" IN ('TCGA-LUAD', + 'TCGA-LUSC') + OR t."collection_id" IN ('tcga_luad', + 'tcga_lusc') + OR t."tcia_api_collection_id" IN ('TCGA-LUAD', + 'TCGA-LUSC') + OR t."idc_webapp_collection_id" IN ('TCGA-LUAD', + 'TCGA-LUSC')) + AND cn.value:"CodeMeaning"::STRING = 'Embedding medium' + AND (UPPER(COALESCE(sp.value:"TextValue"::STRING, '')) = 'TISSUE FREEZING MEDIUM' + OR UPPER(COALESCE(cc.value:"CodeMeaning"::STRING, '')) = 'TISSUE FREEZING MEDIUM') + AND (pams.value:"CodeValue"::STRING IN ('17621005', + '86049000') + OR UPPER(COALESCE(pams.value:"CodeMeaning"::STRING, '')) IN ('NORMAL', + 'NEOPLASM', + 'TUMOR'))), + labeled AS + (SELECT DISTINCT b."SOPInstanceUID", + b."SeriesInstanceUID", + b."StudyInstanceUID", + b."PatientID", + b."collection_id", + b."collection_name", + b."Rows", + b."Columns", + b."PixelSpacing", + b."LossyImageCompressionMethod", + b."gcs_url", + b.SPECIMEN_IDENTIFIER, + CASE + WHEN UPPER(COALESCE(b.TISSUE_MEANING, '')) LIKE 'NORMAL%' THEN 'normal' + WHEN UPPER(COALESCE(b.TISSUE_MEANING, '')) LIKE '%NEOPLASM%' + OR UPPER(COALESCE(b.TISSUE_MEANING, '')) LIKE '%TUMOR%' THEN 'tumor' + WHEN b.TISSUE_CODE = '17621005' THEN 'normal' + WHEN b.TISSUE_CODE = '86049000' THEN 'tumor' + ELSE NULL + END AS TISSUE_TYPE, + CASE + WHEN ARRAY_CONTAINS(TO_VARIANT('ISO_10918_1'), b."LossyImageCompressionMethod") THEN 'jpeg' + WHEN ARRAY_CONTAINS(TO_VARIANT('ISO_15444_1'), b."LossyImageCompressionMethod") THEN 'jpeg2000' + ELSE 'other' + END AS COMPRESSION_TYPE, + CASE + WHEN b."collection_name" = 'TCGA-LUAD' + OR b."collection_id" = 'tcga_luad' THEN 'luad' + WHEN b."collection_name" = 'TCGA-LUSC' + OR b."collection_id" = 'tcga_lusc' THEN 'lscc' + ELSE NULL + END AS CANCER_SUBTYPE + FROM base b) +SELECT l."SeriesInstanceUID" AS "DIGITAL_SLIDE_ID", + l."StudyInstanceUID" AS "CASE_ID", + l.SPECIMEN_IDENTIFIER AS "PHYSICAL_SLIDE_ID", + l."PatientID" AS "PATIENT_ID", + l."collection_id" AS "COLLECTION_ID", + l."SOPInstanceUID" AS "INSTANCE_ID", + l."gcs_url" AS "GCS_URL", + l."Columns" AS "WIDTH", + l."Rows" AS "HEIGHT", + ROUND(TRY_TO_DOUBLE((l."PixelSpacing"[0])::STRING), 4) AS "PIXEL_SPACING", + l.COMPRESSION_TYPE AS "COMPRESSION_TYPE", + l.TISSUE_TYPE AS "TISSUE_TYPE", + l.CANCER_SUBTYPE AS "CANCER_SUBTYPE" FROM labeled l -WHERE l.COMPRESSION_TYPE IN ('jpeg', 'jpeg2000') - AND l.TISSUE_TYPE IN ('normal', 'tumor') +WHERE l.COMPRESSION_TYPE IN ('jpeg', + 'jpeg2000') + AND l.TISSUE_TYPE IN ('normal', + 'tumor') ORDER BY l."SOPInstanceUID" ASC; diff --git a/spider2/queries/snow_sf_bq072.sql b/spider2/queries/snow_sf_bq072.sql index 439464f5483efb3203c834095958a9ac62b5c782..a935e2328efa04189b4f51ce8ff30d6a5f949efd 100644 --- a/spider2/queries/snow_sf_bq072.sql +++ b/spider2/queries/snow_sf_bq072.sql @@ -1,69 +1,61 @@ -WITH "ages" AS ( - SELECT 12 AS "Age" UNION ALL - SELECT 13 UNION ALL - SELECT 14 UNION ALL - SELECT 15 UNION ALL - SELECT 16 UNION ALL - SELECT 17 UNION ALL - SELECT 18 -), -"vehicle_deaths" AS ( - SELECT DISTINCT - "dr"."Id" AS "dr_id", - "dr"."Age" AS "Age", - CASE WHEN "r"."Description" ILIKE '%black%' THEN 1 ELSE 0 END AS "is_black" - FROM "DEATH"."DEATH"."ENTITYAXISCONDITIONS" AS "e" - JOIN "DEATH"."DEATH"."ICD10CODE" AS "icd" - ON "icd"."Code" = "e"."Icd10Code" - JOIN "DEATH"."DEATH"."DEATHRECORDS" AS "dr" - ON "dr"."Id" = "e"."DeathRecordId" - LEFT JOIN "DEATH"."DEATH"."RACE" AS "r" - ON "r"."Code" = "dr"."Race" - WHERE "dr"."AgeType" = 1 - AND "dr"."Age" BETWEEN 12 AND 18 - AND "icd"."Description" ILIKE '%vehicle%' -), -"vehicle_agg" AS ( - SELECT - "Age", - COUNT(DISTINCT "dr_id") AS "vehicle_total_deaths", - COUNT(DISTINCT CASE WHEN "is_black" = 1 THEN "dr_id" END) AS "vehicle_black_deaths" - FROM "vehicle_deaths" - GROUP BY "Age" -), -"firearm_deaths" AS ( - SELECT DISTINCT - "dr"."Id" AS "dr_id", - "dr"."Age" AS "Age", - CASE WHEN "r"."Description" ILIKE '%black%' THEN 1 ELSE 0 END AS "is_black" - FROM "DEATH"."DEATH"."ENTITYAXISCONDITIONS" AS "e" - JOIN "DEATH"."DEATH"."ICD10CODE" AS "icd" - ON "icd"."Code" = "e"."Icd10Code" - JOIN "DEATH"."DEATH"."DEATHRECORDS" AS "dr" - ON "dr"."Id" = "e"."DeathRecordId" - LEFT JOIN "DEATH"."DEATH"."RACE" AS "r" - ON "r"."Code" = "dr"."Race" - WHERE "dr"."AgeType" = 1 - AND "dr"."Age" BETWEEN 12 AND 18 - AND "icd"."Description" ILIKE '%firearm%' -), -"firearm_agg" AS ( - SELECT - "Age", - COUNT(DISTINCT "dr_id") AS "firearm_total_deaths", - COUNT(DISTINCT CASE WHEN "is_black" = 1 THEN "dr_id" END) AS "firearm_black_deaths" - FROM "firearm_deaths" - GROUP BY "Age" -) -SELECT - "a"."Age", - COALESCE("v"."vehicle_total_deaths", 0) AS "vehicle_total_deaths", - COALESCE("v"."vehicle_black_deaths", 0) AS "vehicle_black_deaths", - COALESCE("f"."firearm_total_deaths", 0) AS "firearm_total_deaths", - COALESCE("f"."firearm_black_deaths", 0) AS "firearm_black_deaths" +WITH "ages" AS + (SELECT 12 AS "Age" + UNION ALL SELECT 13 + UNION ALL SELECT 14 + UNION ALL SELECT 15 + UNION ALL SELECT 16 + UNION ALL SELECT 17 + UNION ALL SELECT 18), + "vehicle_deaths" AS + (SELECT DISTINCT "dr"."Id" AS "dr_id", + "dr"."Age" AS "Age", + CASE + WHEN "r"."Description" ILIKE '%black%' THEN 1 + ELSE 0 + END AS "is_black" + FROM "DEATH"."DEATH"."ENTITYAXISCONDITIONS" AS "e" + JOIN "DEATH"."DEATH"."ICD10CODE" AS "icd" ON "icd"."Code" = "e"."Icd10Code" + JOIN "DEATH"."DEATH"."DEATHRECORDS" AS "dr" ON "dr"."Id" = "e"."DeathRecordId" + LEFT JOIN "DEATH"."DEATH"."RACE" AS "r" ON "r"."Code" = "dr"."Race" + WHERE "dr"."AgeType" = 1 + AND "dr"."Age" BETWEEN 12 AND 18 + AND "icd"."Description" ILIKE '%vehicle%'), + "vehicle_agg" AS + (SELECT "Age", + COUNT(DISTINCT "dr_id") AS "vehicle_total_deaths", + COUNT(DISTINCT CASE + WHEN "is_black" = 1 THEN "dr_id" + END) AS "vehicle_black_deaths" + FROM "vehicle_deaths" + GROUP BY "Age"), + "firearm_deaths" AS + (SELECT DISTINCT "dr"."Id" AS "dr_id", + "dr"."Age" AS "Age", + CASE + WHEN "r"."Description" ILIKE '%black%' THEN 1 + ELSE 0 + END AS "is_black" + FROM "DEATH"."DEATH"."ENTITYAXISCONDITIONS" AS "e" + JOIN "DEATH"."DEATH"."ICD10CODE" AS "icd" ON "icd"."Code" = "e"."Icd10Code" + JOIN "DEATH"."DEATH"."DEATHRECORDS" AS "dr" ON "dr"."Id" = "e"."DeathRecordId" + LEFT JOIN "DEATH"."DEATH"."RACE" AS "r" ON "r"."Code" = "dr"."Race" + WHERE "dr"."AgeType" = 1 + AND "dr"."Age" BETWEEN 12 AND 18 + AND "icd"."Description" ILIKE '%firearm%'), + "firearm_agg" AS + (SELECT "Age", + COUNT(DISTINCT "dr_id") AS "firearm_total_deaths", + COUNT(DISTINCT CASE + WHEN "is_black" = 1 THEN "dr_id" + END) AS "firearm_black_deaths" + FROM "firearm_deaths" + GROUP BY "Age") +SELECT "a"."Age", + COALESCE("v"."vehicle_total_deaths", 0) AS "vehicle_total_deaths", + COALESCE("v"."vehicle_black_deaths", 0) AS "vehicle_black_deaths", + COALESCE("f"."firearm_total_deaths", 0) AS "firearm_total_deaths", + COALESCE("f"."firearm_black_deaths", 0) AS "firearm_black_deaths" FROM "ages" AS "a" -LEFT JOIN "vehicle_agg" AS "v" - ON "v"."Age" = "a"."Age" -LEFT JOIN "firearm_agg" AS "f" - ON "f"."Age" = "a"."Age" +LEFT JOIN "vehicle_agg" AS "v" ON "v"."Age" = "a"."Age" +LEFT JOIN "firearm_agg" AS "f" ON "f"."Age" = "a"."Age" ORDER BY "a"."Age" diff --git a/spider2/queries/snow_sf_bq083.sql b/spider2/queries/snow_sf_bq083.sql index a723676fda21a42df4464ba99802cc2e756e7c81..eecc53392e422769543f1cc6c9ace3c0b880432f 100644 --- a/spider2/queries/snow_sf_bq083.sql +++ b/spider2/queries/snow_sf_bq083.sql @@ -1,21 +1,16 @@ -SELECT - TO_DATE(TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) AS "Date", - TO_CHAR( - SUM( - (CASE WHEN "input" LIKE '0x40c10f19%' THEN 1 ELSE -1 END) * - CAST('0x' || LTRIM( - SUBSTRING("input", CASE WHEN "input" LIKE '0x40c10f19%' THEN 75 ELSE 11 END, 64), - '0' - ) AS FLOAT) / 1000000 - ), - '$9,999,999,999.00' - ) AS "Δ Total Market Value" +SELECT TO_DATE(TO_TIMESTAMP_NTZ("block_timestamp" / 1000000)) AS "Date", + TO_CHAR(SUM((CASE + WHEN "input" LIKE '0x40c10f19%' THEN 1 + ELSE -1 + END) * CAST('0x' || LTRIM(SUBSTRING("input", CASE + WHEN "input" LIKE '0x40c10f19%' THEN 75 + ELSE 11 + END, 64), '0') AS FLOAT) / 1000000), '$9,999,999,999.00') AS "Δ Total Market Value" FROM "CRYPTO"."CRYPTO_ETHEREUM"."TRANSACTIONS" -WHERE - "to_address" = '0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48' - AND ("input" LIKE '0x40c10f19%' OR "input" LIKE '0x42966c68%') - AND "block_timestamp" >= 1672531200000000 AND "block_timestamp" < 1704067200000000 -GROUP BY - "Date" -ORDER BY - "Date" DESC; +WHERE "to_address" = '0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48' + AND ("input" LIKE '0x40c10f19%' + OR "input" LIKE '0x42966c68%') + AND "block_timestamp" >= 1672531200000000 + AND "block_timestamp" < 1704067200000000 +GROUP BY "Date" +ORDER BY "Date" DESC; diff --git a/spider2/queries/snow_sf_bq091.sql b/spider2/queries/snow_sf_bq091.sql index 821507e7add79b3980d06aa44bedbdfb57751b94..bbb860c51a1512e8585457746b9bd7ee4abc2718 100644 --- a/spider2/queries/snow_sf_bq091.sql +++ b/spider2/queries/snow_sf_bq091.sql @@ -1,67 +1,55 @@ -WITH a61_applications AS ( - SELECT DISTINCT p."application_number" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, LATERAL FLATTEN(input => p."cpc") c - WHERE p."filing_date" IS NOT NULL - AND p."filing_date" > 0 - AND c.value:"code"::string LIKE 'A61%' - AND p."application_number" IS NOT NULL - UNION - SELECT DISTINCT p."application_number" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, LATERAL FLATTEN(input => p."ipc") i - WHERE p."filing_date" IS NOT NULL - AND p."filing_date" > 0 - AND i.value:"code"::string LIKE 'A61%' - AND p."application_number" IS NOT NULL -), -apps_with_meta AS ( - SELECT - p."application_number", - CAST(FLOOR(p."filing_date" / 10000) AS INTEGER) AS "filing_year", - p."assignee_harmonized", - p."assignee" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" p - JOIN a61_applications a ON a."application_number" = p."application_number" -), -assignee_apps AS ( - SELECT - UPPER(TRIM(ah.value:"name"::string)) AS "assignee_name", - awm."application_number", - awm."filing_year" - FROM apps_with_meta awm, - LATERAL FLATTEN(input => awm."assignee_harmonized") ah - WHERE ah.value:"name" IS NOT NULL - - UNION ALL - - SELECT - UPPER(TRIM(a.value::string)) AS "assignee_name", - awm."application_number", - awm."filing_year" - FROM apps_with_meta awm, - LATERAL FLATTEN(input => awm."assignee") a - WHERE (awm."assignee_harmonized" IS NULL OR ARRAY_SIZE(awm."assignee_harmonized") = 0) - AND a.value IS NOT NULL -), -assignee_totals AS ( - SELECT - "assignee_name", - COUNT(DISTINCT "application_number") AS "total_apps" - FROM assignee_apps - GROUP BY "assignee_name" -), -top_assignee AS ( - SELECT "assignee_name" - FROM assignee_totals - QUALIFY ROW_NUMBER() OVER (ORDER BY "total_apps" DESC, "assignee_name" ASC) = 1 -), -year_counts AS ( - SELECT - aa."filing_year" AS "year", - COUNT(DISTINCT aa."application_number") AS "cnt" - FROM assignee_apps aa - JOIN top_assignee ta ON aa."assignee_name" = ta."assignee_name" - GROUP BY aa."filing_year" -) +WITH a61_applications AS + (SELECT DISTINCT p."application_number" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, + LATERAL FLATTEN(INPUT => p."cpc") c + WHERE p."filing_date" IS NOT NULL + AND p."filing_date" > 0 + AND c.value:"code"::string LIKE 'A61%' + AND p."application_number" IS NOT NULL + UNION SELECT DISTINCT p."application_number" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, + LATERAL FLATTEN(INPUT => p."ipc") i + WHERE p."filing_date" IS NOT NULL + AND p."filing_date" > 0 + AND i.value:"code"::string LIKE 'A61%' + AND p."application_number" IS NOT NULL), + apps_with_meta AS + (SELECT p."application_number", + CAST(FLOOR(p."filing_date" / 10000) AS INTEGER) AS "filing_year", + p."assignee_harmonized", + p."assignee" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" p + JOIN a61_applications a ON a."application_number" = p."application_number"), + assignee_apps AS + (SELECT UPPER(TRIM(ah.value:"name"::string)) AS "assignee_name", + awm."application_number", + awm."filing_year" + FROM apps_with_meta awm, + LATERAL FLATTEN(INPUT => awm."assignee_harmonized") ah + WHERE ah.value:"name" IS NOT NULL + UNION ALL SELECT UPPER(TRIM(a.value::string)) AS "assignee_name", + awm."application_number", + awm."filing_year" + FROM apps_with_meta awm, + LATERAL FLATTEN(INPUT => awm."assignee") a + WHERE (awm."assignee_harmonized" IS NULL + OR ARRAY_SIZE(awm."assignee_harmonized") = 0) + AND a.value IS NOT NULL), + assignee_totals AS + (SELECT "assignee_name", + COUNT(DISTINCT "application_number") AS "total_apps" + FROM assignee_apps + GROUP BY "assignee_name"), + top_assignee AS + (SELECT "assignee_name" + FROM assignee_totals QUALIFY ROW_NUMBER() OVER ( + ORDER BY "total_apps" DESC, "assignee_name" ASC) = 1), + year_counts AS + (SELECT aa."filing_year" AS "year", + COUNT(DISTINCT aa."application_number") AS "cnt" + FROM assignee_apps aa + JOIN top_assignee ta ON aa."assignee_name" = ta."assignee_name" + GROUP BY aa."filing_year") SELECT "year" -FROM year_counts -QUALIFY ROW_NUMBER() OVER (ORDER BY "cnt" DESC, "year" ASC) = 1; +FROM year_counts QUALIFY ROW_NUMBER() OVER ( + ORDER BY "cnt" DESC, "year" ASC) = 1; diff --git a/spider2/queries/snow_sf_bq093.sql b/spider2/queries/snow_sf_bq093.sql index 018ce32197e38d7dade2375437abc9e5274e5849..bbcc58ce46eb214ef6f74d1c522c76a9d5f8eea3 100644 --- a/spider2/queries/snow_sf_bq093.sql +++ b/spider2/queries/snow_sf_bq093.sql @@ -1,93 +1,59 @@ -WITH "FILTERED_TX" AS ( - SELECT - t."hash", - t."from_address", - COALESCE(t."to_address", t."receipt_contract_address") AS "to_address", - COALESCE(t."value", 0) AS "value", - COALESCE(t."receipt_gas_used", 0) AS "receipt_gas_used", - COALESCE(t."gas_price", 0) AS "gas_price", - COALESCE(t."receipt_gas_used", 0) * COALESCE(t."gas_price", 0) AS "gas_fee", - b."miner" - FROM - CRYPTO.CRYPTO_ETHEREUM_CLASSIC."TRANSACTIONS" t - JOIN CRYPTO.CRYPTO_ETHEREUM_CLASSIC."BLOCKS" b - ON t."block_number" = b."number" - WHERE - t."receipt_status" = 1 - AND TO_DATE(TO_TIMESTAMP_NTZ(t."block_timestamp" / 1000000)) = '2016-10-14' -), -"ADDRESS_CHANGES" AS ( - SELECT - "address", - SUM("amount") AS "net_change" - FROM ( - SELECT - t."from_address" AS "address", - -CAST(t."value" AS NUMBER(38, 9)) AS "amount" - FROM - "FILTERED_TX" t - UNION ALL - SELECT - t."to_address" AS "address", - CAST(t."value" AS NUMBER(38, 9)) AS "amount" - FROM - "FILTERED_TX" t - WHERE - t."to_address" IS NOT NULL - UNION ALL - SELECT - t."from_address" AS "address", - -CAST(t."gas_fee" AS NUMBER(38, 9)) AS "amount" - FROM - "FILTERED_TX" t - UNION ALL - SELECT - t."miner" AS "address", - CAST(t."gas_fee" AS NUMBER(38, 9)) AS "amount" - FROM - "FILTERED_TX" t - ) AS contributions - WHERE - "address" IS NOT NULL - GROUP BY - "address" -), -"MAX_ADDR" AS ( - SELECT - "address", - "net_change" - FROM - "ADDRESS_CHANGES" - QUALIFY ROW_NUMBER() OVER (ORDER BY "net_change" DESC, "address") = 1 -), -"MIN_ADDR" AS ( - SELECT - "address", - "net_change" - FROM - "ADDRESS_CHANGES" - QUALIFY ROW_NUMBER() OVER (ORDER BY "net_change" ASC, "address") = 1 -) -SELECT - metrics."metric", - metrics."address", - metrics."net_change" -FROM ( - SELECT - 'MAX' AS "metric", - max_addr."address", - COALESCE(max_addr."net_change", stats."max_change", 0) AS "net_change" - FROM - (SELECT MAX("net_change") AS "max_change" FROM "ADDRESS_CHANGES") stats - LEFT JOIN "MAX_ADDR" max_addr ON 1 = 1 - UNION ALL - SELECT - 'MIN' AS "metric", - min_addr."address", - COALESCE(min_addr."net_change", stats."min_change", 0) AS "net_change" - FROM - (SELECT MIN("net_change") AS "min_change" FROM "ADDRESS_CHANGES") stats - LEFT JOIN "MIN_ADDR" min_addr ON 1 = 1 -) metrics -ORDER BY - metrics."metric" DESC; +WITH "FILTERED_TX" AS + (SELECT t."hash", + t."from_address", + COALESCE(t."to_address", t."receipt_contract_address") AS "to_address", + COALESCE(t."value", 0) AS "value", + COALESCE(t."receipt_gas_used", 0) AS "receipt_gas_used", + COALESCE(t."gas_price", 0) AS "gas_price", + COALESCE(t."receipt_gas_used", 0) * COALESCE(t."gas_price", 0) AS "gas_fee", + b."miner" + FROM CRYPTO.CRYPTO_ETHEREUM_CLASSIC."TRANSACTIONS" t + JOIN CRYPTO.CRYPTO_ETHEREUM_CLASSIC."BLOCKS" b ON t."block_number" = b."number" + WHERE t."receipt_status" = 1 + AND TO_DATE(TO_TIMESTAMP_NTZ(t."block_timestamp" / 1000000)) = '2016-10-14'), + "ADDRESS_CHANGES" AS + (SELECT "address", + SUM("amount") AS "net_change" + FROM + (SELECT t."from_address" AS "address", -CAST(t."value" AS NUMBER(38, 9)) AS "amount" + FROM "FILTERED_TX" t + UNION ALL SELECT t."to_address" AS "address", + CAST(t."value" AS NUMBER(38, 9)) AS "amount" + FROM "FILTERED_TX" t + WHERE t."to_address" IS NOT NULL + UNION ALL SELECT t."from_address" AS "address", -CAST(t."gas_fee" AS NUMBER(38, 9)) AS "amount" + FROM "FILTERED_TX" t + UNION ALL SELECT t."miner" AS "address", + CAST(t."gas_fee" AS NUMBER(38, 9)) AS "amount" + FROM "FILTERED_TX" t) AS contributions + WHERE "address" IS NOT NULL + GROUP BY "address"), + "MAX_ADDR" AS + (SELECT "address", + "net_change" + FROM "ADDRESS_CHANGES" QUALIFY ROW_NUMBER() OVER ( + ORDER BY "net_change" DESC, "address") = 1), + "MIN_ADDR" AS + (SELECT "address", + "net_change" + FROM "ADDRESS_CHANGES" QUALIFY ROW_NUMBER() OVER ( + ORDER BY "net_change" ASC, "address") = 1) +SELECT metrics."metric", + metrics."address", + metrics."net_change" +FROM + (SELECT 'MAX' AS "metric", + max_addr."address", + COALESCE(max_addr."net_change", stats."max_change", 0) AS "net_change" + FROM + (SELECT MAX("net_change") AS "max_change" + FROM "ADDRESS_CHANGES") stats + LEFT JOIN "MAX_ADDR" max_addr ON 1 = 1 + UNION ALL SELECT 'MIN' AS "metric", + min_addr."address", + COALESCE(min_addr."net_change", stats."min_change", 0) AS "net_change" + FROM + (SELECT MIN("net_change") AS "min_change" + FROM "ADDRESS_CHANGES") stats + LEFT JOIN "MIN_ADDR" min_addr ON 1 = 1) metrics +ORDER BY metrics."metric" DESC; diff --git a/spider2/queries/snow_sf_bq099.sql b/spider2/queries/snow_sf_bq099.sql index 03f763d71af52009fa9ef27f9731ea40f9380b7c..640f994fc48afce57a8f5bcd9f02b7868d9ca6b8 100644 --- a/spider2/queries/snow_sf_bq099.sql +++ b/spider2/queries/snow_sf_bq099.sql @@ -1,90 +1,79 @@ -WITH "base" AS ( - SELECT DISTINCT - UPPER("fa"."VALUE":"name"::string) AS "assignee_name", - "p"."application_number" AS "application_number", - CASE WHEN "p"."filing_date" IS NOT NULL AND "p"."filing_date" > 0 THEN FLOOR("p"."filing_date"/10000) END AS "filing_year", - "p"."country_code" AS "country_code" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" AS "p", - LATERAL FLATTEN(input => "p"."cpc") AS "fc", - LATERAL FLATTEN(input => "p"."assignee_harmonized") AS "fa" - WHERE UPPER("fc"."VALUE":"code"::string) LIKE 'A01B3%' -), -"assignee_totals" AS ( - SELECT - "assignee_name", - COUNT(DISTINCT "application_number") AS "total_applications" - FROM "base" - GROUP BY "assignee_name" -), -"per_year" AS ( - SELECT - "assignee_name", - "filing_year", - COUNT(DISTINCT "application_number") AS "apps_in_year" - FROM "base" - WHERE "filing_year" IS NOT NULL - GROUP BY "assignee_name", "filing_year" -), -"top_year" AS ( - SELECT - "assignee_name", - "filing_year" AS "top_year", - "apps_in_year" - FROM ( - SELECT - "assignee_name", - "filing_year", - "apps_in_year", - ROW_NUMBER() OVER (PARTITION BY "assignee_name" ORDER BY "apps_in_year" DESC, "filing_year" ASC) AS "rn" - FROM "per_year" - ) - WHERE "rn" = 1 -), -"per_country_year" AS ( - SELECT - "assignee_name", - "filing_year", - "country_code", - COUNT(DISTINCT "application_number") AS "apps_in_year_country" - FROM "base" - WHERE "filing_year" IS NOT NULL - GROUP BY "assignee_name", "filing_year", "country_code" -), -"top_country" AS ( - SELECT - "pc"."assignee_name", - "pc"."filing_year", - "pc"."country_code" AS "top_country_code", - "pc"."apps_in_year_country" - FROM ( - SELECT - "assignee_name", - "filing_year", - "country_code", - "apps_in_year_country", - ROW_NUMBER() OVER (PARTITION BY "assignee_name", "filing_year" ORDER BY "apps_in_year_country" DESC, "country_code" ASC) AS "rn" - FROM "per_country_year" - ) AS "pc" - WHERE "pc"."rn" = 1 -), -"ranked_assignees" AS ( - SELECT - "assignee_name", - "total_applications", - ROW_NUMBER() OVER (ORDER BY "total_applications" DESC, "assignee_name" ASC) AS "assignee_rank" - FROM "assignee_totals" -) -SELECT - "r"."assignee_name", - "r"."total_applications", - "y"."top_year", - "y"."apps_in_year" AS "applications_in_top_year", - "c"."top_country_code" +WITH "base" AS + (SELECT DISTINCT UPPER("fa"."VALUE":"name"::string) AS "assignee_name", + "p"."application_number" AS "application_number", + CASE + WHEN "p"."filing_date" IS NOT NULL + AND "p"."filing_date" > 0 THEN FLOOR("p"."filing_date"/10000) + END AS "filing_year", + "p"."country_code" AS "country_code" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" AS "p", + LATERAL FLATTEN(INPUT => "p"."cpc") AS "fc", + LATERAL FLATTEN(INPUT => "p"."assignee_harmonized") AS "fa" + WHERE UPPER("fc"."VALUE":"code"::string) LIKE 'A01B3%'), + "assignee_totals" AS + (SELECT "assignee_name", + COUNT(DISTINCT "application_number") AS "total_applications" + FROM "base" + GROUP BY "assignee_name"), + "per_year" AS + (SELECT "assignee_name", + "filing_year", + COUNT(DISTINCT "application_number") AS "apps_in_year" + FROM "base" + WHERE "filing_year" IS NOT NULL + GROUP BY "assignee_name", + "filing_year"), + "top_year" AS + (SELECT "assignee_name", + "filing_year" AS "top_year", + "apps_in_year" + FROM + (SELECT "assignee_name", + "filing_year", + "apps_in_year", + ROW_NUMBER() OVER (PARTITION BY "assignee_name" + ORDER BY "apps_in_year" DESC, "filing_year" ASC) AS "rn" + FROM "per_year") + WHERE "rn" = 1), + "per_country_year" AS + (SELECT "assignee_name", + "filing_year", + "country_code", + COUNT(DISTINCT "application_number") AS "apps_in_year_country" + FROM "base" + WHERE "filing_year" IS NOT NULL + GROUP BY "assignee_name", + "filing_year", + "country_code"), + "top_country" AS + (SELECT "pc"."assignee_name", + "pc"."filing_year", + "pc"."country_code" AS "top_country_code", + "pc"."apps_in_year_country" + FROM + (SELECT "assignee_name", + "filing_year", + "country_code", + "apps_in_year_country", + ROW_NUMBER() OVER (PARTITION BY "assignee_name", "filing_year" + ORDER BY "apps_in_year_country" DESC, "country_code" ASC) AS "rn" + FROM "per_country_year") AS "pc" + WHERE "pc"."rn" = 1), + "ranked_assignees" AS + (SELECT "assignee_name", + "total_applications", + ROW_NUMBER() OVER ( + ORDER BY "total_applications" DESC, "assignee_name" ASC) AS "assignee_rank" + FROM "assignee_totals") +SELECT "r"."assignee_name", + "r"."total_applications", + "y"."top_year", + "y"."apps_in_year" AS "applications_in_top_year", + "c"."top_country_code" FROM "ranked_assignees" AS "r" -JOIN "top_year" AS "y" - ON "r"."assignee_name" = "y"."assignee_name" -LEFT JOIN "top_country" AS "c" - ON "c"."assignee_name" = "y"."assignee_name" - AND "c"."filing_year" = "y"."top_year" +JOIN "top_year" AS "y" ON "r"."assignee_name" = "y"."assignee_name" +LEFT JOIN "top_country" AS "c" ON "c"."assignee_name" = "y"."assignee_name" +AND "c"."filing_year" = "y"."top_year" WHERE "r"."assignee_rank" <= 3 -ORDER BY "r"."total_applications" DESC, "r"."assignee_name" ASC; +ORDER BY "r"."total_applications" DESC, + "r"."assignee_name" ASC; diff --git a/spider2/queries/snow_sf_bq104.sql b/spider2/queries/snow_sf_bq104.sql index a66a5c361d0b5abddacb8610ce39ea8e46ee9b25..1dcb6296515e7d60ff797837ecbafcc6c046ba9b 100644 --- a/spider2/queries/snow_sf_bq104.sql +++ b/spider2/queries/snow_sf_bq104.sql @@ -1,92 +1,81 @@ -WITH base AS ( - SELECT - tr."term", - tr."week", - tr."score", - tr."rank", - tr."percent_gain", - tr."refresh_date" - FROM GOOGLE_TRENDS.GOOGLE_TRENDS.TOP_RISING_TERMS tr - WHERE tr."week" IS NOT NULL - - UNION ALL - - SELECT - ir."term", - ir."week", - ir."score", - ir."rank", - ir."percent_gain", - ir."refresh_date" - FROM GOOGLE_TRENDS.GOOGLE_TRENDS.INTERNATIONAL_TOP_RISING_TERMS ir - WHERE ir."week" IS NOT NULL -), -latest_refresh AS ( - SELECT MAX("refresh_date") AS "refresh_date" - FROM base -), -latest_week_in_latest AS ( - SELECT MAX(b."week") AS "week" - FROM base b - JOIN latest_refresh lr ON b."refresh_date" = lr."refresh_date" -), -target AS ( - -- Use 52 weeks prior to align with weekly cadence for "exactly one year" - SELECT DATEADD('week', -52, lw."week") AS "target_week" - FROM latest_week_in_latest lw -), -cand_exact_latest AS ( -- priority 1: exact target week within latest refresh - SELECT 1 AS prio, b."refresh_date", b."week" - FROM base b - JOIN latest_refresh lr ON b."refresh_date" = lr."refresh_date" - JOIN target t ON b."week" = t."target_week" - GROUP BY b."refresh_date", b."week" -), -cand_exact_any AS ( -- priority 2: exact target week across any refresh (choose latest refresh that has it) - SELECT 2 AS prio, x."refresh_date", x."week" - FROM ( - SELECT b."refresh_date", b."week", - ROW_NUMBER() OVER (PARTITION BY b."week" ORDER BY b."refresh_date" DESC) AS rn - FROM base b - JOIN target t ON b."week" = t."target_week" - ) x - WHERE x.rn = 1 -), -candidates AS ( - SELECT * FROM cand_exact_latest - UNION ALL - SELECT * FROM cand_exact_any -), -selected_context AS ( - SELECT "refresh_date", "week" - FROM ( - SELECT "refresh_date", "week", - ROW_NUMBER() OVER (ORDER BY prio) AS rn - FROM candidates - ) - WHERE rn = 1 -), -rows_in_context AS ( - SELECT b.* - FROM base b - JOIN selected_context sc - ON b."refresh_date" = sc."refresh_date" - AND b."week" = sc."week" -), -terms_aggregated AS ( - SELECT - "term", - MIN("rank") AS best_rank, - MAX("percent_gain") AS best_percent_gain, - MAX("score") AS best_score - FROM rows_in_context - GROUP BY "term" -) +WITH base AS + (SELECT tr."term", + tr."week", + tr."score", + tr."rank", + tr."percent_gain", + tr."refresh_date" + FROM GOOGLE_TRENDS.GOOGLE_TRENDS.TOP_RISING_TERMS tr + WHERE tr."week" IS NOT NULL + UNION ALL SELECT ir."term", + ir."week", + ir."score", + ir."rank", + ir."percent_gain", + ir."refresh_date" + FROM GOOGLE_TRENDS.GOOGLE_TRENDS.INTERNATIONAL_TOP_RISING_TERMS ir + WHERE ir."week" IS NOT NULL), + latest_refresh AS + (SELECT MAX("refresh_date") AS "refresh_date" + FROM base), + latest_week_in_latest AS + (SELECT MAX(b."week") AS "week" + FROM base b + JOIN latest_refresh lr ON b."refresh_date" = lr."refresh_date"), + target AS + (-- Use 52 weeks prior to align with weekly cadence for "exactly one year" + SELECT DATEADD('week', -52, lw."week") AS "target_week" + FROM latest_week_in_latest lw), + cand_exact_latest AS + (-- priority 1: exact target week within latest refresh + SELECT 1 AS prio, + b."refresh_date", + b."week" + FROM base b + JOIN latest_refresh lr ON b."refresh_date" = lr."refresh_date" + JOIN target t ON b."week" = t."target_week" + GROUP BY b."refresh_date", + b."week"), + cand_exact_any AS + (-- priority 2: exact target week across any refresh (choose latest refresh that has it) + SELECT 2 AS prio, + x."refresh_date", + x."week" + FROM + (SELECT b."refresh_date", + b."week", + ROW_NUMBER() OVER (PARTITION BY b."week" + ORDER BY b."refresh_date" DESC) AS rn + FROM base b + JOIN target t ON b."week" = t."target_week") x + WHERE x.rn = 1), + candidates AS + (SELECT * + FROM cand_exact_latest + UNION ALL SELECT * + FROM cand_exact_any), + selected_context AS + (SELECT "refresh_date", + "week" + FROM + (SELECT "refresh_date", + "week", + ROW_NUMBER() OVER ( + ORDER BY prio) AS rn + FROM candidates) + WHERE rn = 1), + rows_in_context AS + (SELECT b.* + FROM base b + JOIN selected_context sc ON b."refresh_date" = sc."refresh_date" + AND b."week" = sc."week"), + terms_aggregated AS + (SELECT "term", + MIN("rank") AS best_rank, + MAX("percent_gain") AS best_percent_gain, + MAX("score") AS best_score + FROM rows_in_context + GROUP BY "term") SELECT ta."term" -FROM terms_aggregated ta -QUALIFY ROW_NUMBER() OVER ( - ORDER BY ta.best_rank ASC NULLS LAST, - ta.best_percent_gain DESC NULLS LAST, - ta.best_score DESC NULLS LAST, - ta."term" -) = 1; +FROM terms_aggregated ta QUALIFY ROW_NUMBER() OVER ( + ORDER BY ta.best_rank ASC NULLS LAST, ta.best_percent_gain DESC NULLS LAST, ta.best_score DESC NULLS LAST, ta."term") = 1; diff --git a/spider2/queries/snow_sf_bq121.sql b/spider2/queries/snow_sf_bq121.sql index f0c5072f0df97372446cdaf6405e046a75e437b8..ce710b4c51c532e10471fdeca7d1e61c5e07502a 100644 --- a/spider2/queries/snow_sf_bq121.sql +++ b/spider2/queries/snow_sf_bq121.sql @@ -1,45 +1,34 @@ -WITH - ref AS ( - SELECT DATE '2021-10-01' AS "ref_date" - ), - users_base AS ( - SELECT - "id" AS "user_id", - CAST(TO_TIMESTAMP("creation_date" / 1000000.0) AS DATE) AS "creation_date_dt", - "reputation" - FROM "STACKOVERFLOW"."STACKOVERFLOW"."USERS" - ), - users_filtered AS ( - SELECT ub.* - FROM users_base ub - JOIN ref r ON 1=1 - WHERE ub."creation_date_dt" <= r."ref_date" - ), - users_years AS ( - SELECT - "user_id", - "creation_date_dt", - "reputation", - (DATEDIFF(year, "creation_date_dt", r."ref_date") - - CASE WHEN DATEADD(year, DATEDIFF(year, "creation_date_dt", r."ref_date"), "creation_date_dt") > r."ref_date" THEN 1 ELSE 0 END - ) AS "complete_years" - FROM users_filtered uf - JOIN ref r ON 1=1 - ), - badges_per_user AS ( - SELECT - "user_id", - COUNT(*) AS "num_badges" - FROM "STACKOVERFLOW"."STACKOVERFLOW"."BADGES" - GROUP BY "user_id" - ) -SELECT - uy."complete_years" AS "complete_years", - COALESCE(CAST(AVG(uy."reputation") AS FLOAT), 0) AS "avg_reputation", - COALESCE(CAST(AVG(COALESCE(b."num_badges", 0)) AS FLOAT), 0) AS "avg_badges", - COUNT(*) AS "user_count" +WITH REF AS + (SELECT DATE '2021-10-01' AS "ref_date"), users_base AS + (SELECT "id" AS "user_id", + CAST(TO_TIMESTAMP("creation_date" / 1000000.0) AS DATE) AS "creation_date_dt", + "reputation" + FROM "STACKOVERFLOW"."STACKOVERFLOW"."USERS"), + users_filtered AS + (SELECT ub.* + FROM users_base ub + JOIN REF r ON 1=1 + WHERE ub."creation_date_dt" <= r."ref_date"), + users_years AS + (SELECT "user_id", + "creation_date_dt", + "reputation", + (DATEDIFF(YEAR, "creation_date_dt", r."ref_date") - CASE + WHEN DATEADD(YEAR, DATEDIFF(YEAR, "creation_date_dt", r."ref_date"), "creation_date_dt") > r."ref_date" THEN 1 + ELSE 0 + END) AS "complete_years" + FROM users_filtered uf + JOIN REF r ON 1=1), + badges_per_user AS + (SELECT "user_id", + COUNT(*) AS "num_badges" + FROM "STACKOVERFLOW"."STACKOVERFLOW"."BADGES" + GROUP BY "user_id") +SELECT uy."complete_years" AS "complete_years", + COALESCE(CAST(AVG(uy."reputation") AS FLOAT), 0) AS "avg_reputation", + COALESCE(CAST(AVG(COALESCE(b."num_badges", 0)) AS FLOAT), 0) AS "avg_badges", + COUNT(*) AS "user_count" FROM users_years uy -LEFT JOIN badges_per_user b - ON uy."user_id" = b."user_id" +LEFT JOIN badges_per_user b ON uy."user_id" = b."user_id" GROUP BY uy."complete_years" ORDER BY uy."complete_years" ASC; diff --git a/spider2/queries/snow_sf_bq127.sql b/spider2/queries/snow_sf_bq127.sql index c0a726b7fdc131fb4f318e061c8dffa871481a2d..6b7988ad14ca3d81c9339e0f6224267119de5295 100644 --- a/spider2/queries/snow_sf_bq127.sql +++ b/spider2/queries/snow_sf_bq127.sql @@ -1,127 +1,101 @@ -WITH "FAMS" AS ( - SELECT - "family_id", - MIN("publication_date") AS "earliest_publication_date_num" - FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" - WHERE "family_id" IS NOT NULL - GROUP BY "family_id" - HAVING MIN("publication_date") BETWEEN 20150101 AND 20150131 -), -"FAMILY_PUBS" AS ( - SELECT - "F"."family_id", - "F"."earliest_publication_date_num", - TRIM("P"."publication_number") AS "publication_number", - TRIM("P"."country_code") AS "country_code", - "P"."cpc" AS "cpc", - "P"."ipc" AS "ipc", - "P"."citation" AS "citation" - FROM "FAMS" AS "F" - JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS "P" - ON "P"."family_id" = "F"."family_id" -), -"PUBS_AGG" AS ( - SELECT - "family_id", - LISTAGG(DISTINCT "publication_number", ', ') WITHIN GROUP (ORDER BY "publication_number") AS "publication_numbers" - FROM "FAMILY_PUBS" - GROUP BY "family_id" -), -"COUNTRIES_AGG" AS ( - SELECT - "family_id", - LISTAGG(DISTINCT "country_code", ', ') WITHIN GROUP (ORDER BY "country_code") AS "country_codes" - FROM "FAMILY_PUBS" - WHERE "country_code" IS NOT NULL AND "country_code" != '' - GROUP BY "family_id" -), -"CPC_AGG" AS ( - SELECT - "FP"."family_id", - LISTAGG(DISTINCT TRIM("CPC_ITEM"."VALUE":"code"::STRING), ', ') - WITHIN GROUP (ORDER BY TRIM("CPC_ITEM"."VALUE":"code"::STRING)) AS "cpc_codes" - FROM "FAMILY_PUBS" AS "FP", - LATERAL FLATTEN(INPUT => "FP"."cpc") AS "CPC_ITEM" - WHERE "CPC_ITEM"."VALUE":"code" IS NOT NULL - AND TRIM("CPC_ITEM"."VALUE":"code"::STRING) != '' - GROUP BY "FP"."family_id" -), -"IPC_AGG" AS ( - SELECT - "FP"."family_id", - LISTAGG(DISTINCT TRIM("IPC_ITEM"."VALUE":"code"::STRING), ', ') - WITHIN GROUP (ORDER BY TRIM("IPC_ITEM"."VALUE":"code"::STRING)) AS "ipc_codes" - FROM "FAMILY_PUBS" AS "FP", - LATERAL FLATTEN(INPUT => "FP"."ipc") AS "IPC_ITEM" - WHERE "IPC_ITEM"."VALUE":"code" IS NOT NULL - AND TRIM("IPC_ITEM"."VALUE":"code"::STRING) != '' - GROUP BY "FP"."family_id" -), -"CITED_PUBS" AS ( - SELECT - "FP"."family_id" AS "source_family_id", - TRIM("CIT"."VALUE":"publication_number"::STRING) AS "cited_pubnum" - FROM "FAMILY_PUBS" AS "FP", - LATERAL FLATTEN(INPUT => "FP"."citation") AS "CIT" - WHERE TRIM("CIT"."VALUE":"publication_number"::STRING) IS NOT NULL - AND TRIM("CIT"."VALUE":"publication_number"::STRING) != '' -), -"CITED_FAMILIES" AS ( - SELECT DISTINCT - "CP"."source_family_id", - "P_CITED"."family_id" AS "cited_family_id" - FROM "CITED_PUBS" AS "CP" - JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS "P_CITED" - ON TRIM("P_CITED"."publication_number") = "CP"."cited_pubnum" - WHERE "P_CITED"."family_id" IS NOT NULL - AND "P_CITED"."family_id" != "CP"."source_family_id" -), -"CITED_FAMILIES_AGG" AS ( - SELECT - "source_family_id" AS "family_id", - LISTAGG(DISTINCT "cited_family_id", ', ') - WITHIN GROUP (ORDER BY "cited_family_id") AS "families_cited" - FROM "CITED_FAMILIES" - GROUP BY "source_family_id" -), -"CITING_PUBS" AS ( - SELECT - "FP"."family_id" AS "target_family_id", - TRIM("CB"."VALUE":"publication_number"::STRING) AS "citing_pubnum" - FROM "FAMILY_PUBS" AS "FP" - JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."ABS_AND_EMB" AS "A" - ON "A"."publication_number" = "FP"."publication_number", - LATERAL FLATTEN(INPUT => "A"."cited_by") AS "CB" - WHERE TRIM("CB"."VALUE":"publication_number"::STRING) IS NOT NULL - AND TRIM("CB"."VALUE":"publication_number"::STRING) != '' -), -"CITING_FAMILIES" AS ( - SELECT DISTINCT - "CP"."target_family_id", - "P_ALL"."family_id" AS "citing_family_id" - FROM "CITING_PUBS" AS "CP" - JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS "P_ALL" - ON TRIM("P_ALL"."publication_number") = "CP"."citing_pubnum" - WHERE "P_ALL"."family_id" IS NOT NULL - AND "P_ALL"."family_id" != "CP"."target_family_id" -), -"CITING_FAMILIES_AGG" AS ( - SELECT - "target_family_id" AS "family_id", - LISTAGG(DISTINCT "citing_family_id", ', ') - WITHIN GROUP (ORDER BY "citing_family_id") AS "families_citing" - FROM "CITING_FAMILIES" - GROUP BY "target_family_id" -) -SELECT - "F"."family_id", - TO_DATE("F"."earliest_publication_date_num"::STRING, 'YYYYMMDD') AS "earliest_publication_date", - COALESCE("PA"."publication_numbers", '') AS "publication_numbers", - COALESCE("CA"."country_codes", '') AS "country_codes", - COALESCE("CC"."cpc_codes", '') AS "cpc_codes", - COALESCE("IC"."ipc_codes", '') AS "ipc_codes", - COALESCE("CFA"."families_cited", '') AS "families_cited", - COALESCE("CIA"."families_citing", '') AS "families_citing" +WITH "FAMS" AS + (SELECT "family_id", + MIN("publication_date") AS "earliest_publication_date_num" + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" + WHERE "family_id" IS NOT NULL + GROUP BY "family_id" + HAVING MIN("publication_date") BETWEEN 20150101 AND 20150131), + "FAMILY_PUBS" AS + (SELECT "F"."family_id", + "F"."earliest_publication_date_num", + TRIM("P"."publication_number") AS "publication_number", + TRIM("P"."country_code") AS "country_code", + "P"."cpc" AS "cpc", + "P"."ipc" AS "ipc", + "P"."citation" AS "citation" + FROM "FAMS" AS "F" + JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS "P" ON "P"."family_id" = "F"."family_id"), + "PUBS_AGG" AS + (SELECT "family_id", + LISTAGG(DISTINCT "publication_number", ', ') WITHIN GROUP ( + ORDER BY "publication_number") AS "publication_numbers" + FROM "FAMILY_PUBS" + GROUP BY "family_id"), + "COUNTRIES_AGG" AS + (SELECT "family_id", + LISTAGG(DISTINCT "country_code", ', ') WITHIN GROUP ( + ORDER BY "country_code") AS "country_codes" + FROM "FAMILY_PUBS" + WHERE "country_code" IS NOT NULL + AND "country_code" != '' + GROUP BY "family_id"), + "CPC_AGG" AS + (SELECT "FP"."family_id", + LISTAGG(DISTINCT TRIM("CPC_ITEM"."VALUE":"code"::STRING), ', ') WITHIN GROUP ( + ORDER BY TRIM("CPC_ITEM"."VALUE":"code"::STRING)) AS "cpc_codes" + FROM "FAMILY_PUBS" AS "FP", + LATERAL FLATTEN(INPUT => "FP"."cpc") AS "CPC_ITEM" + WHERE "CPC_ITEM"."VALUE":"code" IS NOT NULL + AND TRIM("CPC_ITEM"."VALUE":"code"::STRING) != '' + GROUP BY "FP"."family_id"), + "IPC_AGG" AS + (SELECT "FP"."family_id", + LISTAGG(DISTINCT TRIM("IPC_ITEM"."VALUE":"code"::STRING), ', ') WITHIN GROUP ( + ORDER BY TRIM("IPC_ITEM"."VALUE":"code"::STRING)) AS "ipc_codes" + FROM "FAMILY_PUBS" AS "FP", + LATERAL FLATTEN(INPUT => "FP"."ipc") AS "IPC_ITEM" + WHERE "IPC_ITEM"."VALUE":"code" IS NOT NULL + AND TRIM("IPC_ITEM"."VALUE":"code"::STRING) != '' + GROUP BY "FP"."family_id"), + "CITED_PUBS" AS + (SELECT "FP"."family_id" AS "source_family_id", + TRIM("CIT"."VALUE":"publication_number"::STRING) AS "cited_pubnum" + FROM "FAMILY_PUBS" AS "FP", + LATERAL FLATTEN(INPUT => "FP"."citation") AS "CIT" + WHERE TRIM("CIT"."VALUE":"publication_number"::STRING) IS NOT NULL + AND TRIM("CIT"."VALUE":"publication_number"::STRING) != ''), + "CITED_FAMILIES" AS + (SELECT DISTINCT "CP"."source_family_id", + "P_CITED"."family_id" AS "cited_family_id" + FROM "CITED_PUBS" AS "CP" + JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS "P_CITED" ON TRIM("P_CITED"."publication_number") = "CP"."cited_pubnum" + WHERE "P_CITED"."family_id" IS NOT NULL + AND "P_CITED"."family_id" != "CP"."source_family_id"), + "CITED_FAMILIES_AGG" AS + (SELECT "source_family_id" AS "family_id", + LISTAGG(DISTINCT "cited_family_id", ', ') WITHIN GROUP ( + ORDER BY "cited_family_id") AS "families_cited" + FROM "CITED_FAMILIES" + GROUP BY "source_family_id"), + "CITING_PUBS" AS + (SELECT "FP"."family_id" AS "target_family_id", + TRIM("CB"."VALUE":"publication_number"::STRING) AS "citing_pubnum" + FROM "FAMILY_PUBS" AS "FP" + JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."ABS_AND_EMB" AS "A" ON "A"."publication_number" = "FP"."publication_number", + LATERAL FLATTEN(INPUT => "A"."cited_by") AS "CB" + WHERE TRIM("CB"."VALUE":"publication_number"::STRING) IS NOT NULL + AND TRIM("CB"."VALUE":"publication_number"::STRING) != ''), + "CITING_FAMILIES" AS + (SELECT DISTINCT "CP"."target_family_id", + "P_ALL"."family_id" AS "citing_family_id" + FROM "CITING_PUBS" AS "CP" + JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS "P_ALL" ON TRIM("P_ALL"."publication_number") = "CP"."citing_pubnum" + WHERE "P_ALL"."family_id" IS NOT NULL + AND "P_ALL"."family_id" != "CP"."target_family_id"), + "CITING_FAMILIES_AGG" AS + (SELECT "target_family_id" AS "family_id", + LISTAGG(DISTINCT "citing_family_id", ', ') WITHIN GROUP ( + ORDER BY "citing_family_id") AS "families_citing" + FROM "CITING_FAMILIES" + GROUP BY "target_family_id") +SELECT "F"."family_id", + TO_DATE("F"."earliest_publication_date_num"::STRING, 'YYYYMMDD') AS "earliest_publication_date", + COALESCE("PA"."publication_numbers", '') AS "publication_numbers", + COALESCE("CA"."country_codes", '') AS "country_codes", + COALESCE("CC"."cpc_codes", '') AS "cpc_codes", + COALESCE("IC"."ipc_codes", '') AS "ipc_codes", + COALESCE("CFA"."families_cited", '') AS "families_cited", + COALESCE("CIA"."families_citing", '') AS "families_citing" FROM "FAMS" AS "F" LEFT JOIN "PUBS_AGG" AS "PA" ON "PA"."family_id" = "F"."family_id" LEFT JOIN "COUNTRIES_AGG" AS "CA" ON "CA"."family_id" = "F"."family_id" diff --git a/spider2/queries/snow_sf_bq128.sql b/spider2/queries/snow_sf_bq128.sql index b32b8b43e5a4248ebd46a95adc86fee4d84e360a..f9bc4bd71bd9f59ddec31deaf0d430806b9bc29e 100644 --- a/spider2/queries/snow_sf_bq128.sql +++ b/spider2/queries/snow_sf_bq128.sql @@ -1,62 +1,71 @@ -WITH "filings" AS ( - SELECT - "patent_id", - MIN(TRY_TO_DATE("date")) AS "filing_date" - FROM "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" - WHERE "country" = 'US' - AND TRY_TO_DATE("date") IS NOT NULL - GROUP BY "patent_id" -), -"qualified_cpc" AS ( - SELECT DISTINCT - "patent_id" - FROM "PATENTSVIEW"."PATENTSVIEW"."CPC_CURRENT" - WHERE "subsection_id" IN ('C05','C06','C07','C08','C09','C10','C11','C12','C13') - OR "group_id" IN ('A01G','A01H','A61K','A61P','A61Q','B01F','B01J','B81B','B82B','B82Y','G01N','G16H') -), -"base_pats" AS ( - SELECT DISTINCT - p."id" AS "patent_id", - p."title", - p."abstract", - TRY_TO_DATE(p."date") AS "publication_date", - f."filing_date" - FROM "PATENTSVIEW"."PATENTSVIEW"."PATENT" p - JOIN "filings" f ON p."id" = f."patent_id" - JOIN "qualified_cpc" qc ON p."id" = qc."patent_id" - WHERE p."country" = 'US' - AND f."filing_date" BETWEEN TO_DATE('2014-01-01') AND TO_DATE('2014-02-01') - AND TRY_TO_DATE(p."date") IS NOT NULL -), -"backward_counts" AS ( - SELECT - bc."patent_id", - COUNT(DISTINCT bc."citation_id") AS "backward_citations" - FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" bc - JOIN "base_pats" b ON bc."patent_id" = b."patent_id" - WHERE TRY_TO_DATE(bc."date") IS NOT NULL - AND TRY_TO_DATE(bc."date") < b."filing_date" - GROUP BY bc."patent_id" -), -"forward_counts" AS ( - SELECT - fc."citation_id" AS "patent_id", - COUNT(DISTINCT fc."patent_id") AS "forward_citations" - FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" fc - JOIN "base_pats" b ON fc."citation_id" = b."patent_id" - JOIN "PATENTSVIEW"."PATENTSVIEW"."PATENT" pc ON pc."id" = fc."patent_id" - WHERE TRY_TO_DATE(pc."date") IS NOT NULL - AND TRY_TO_DATE(pc."date") >= b."publication_date" - AND TRY_TO_DATE(pc."date") <= DATEADD(year, 5, b."publication_date") - GROUP BY fc."citation_id" -) -SELECT - b."title", - b."abstract", - b."publication_date", - COALESCE(back."backward_citations", 0) AS "backward_citation_count", - COALESCE(fwd."forward_citations", 0) AS "forward_citation_count" +WITH "filings" AS + (SELECT "patent_id", + MIN(TRY_TO_DATE("date")) AS "filing_date" + FROM "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" + WHERE "country" = 'US' + AND TRY_TO_DATE("date") IS NOT NULL + GROUP BY "patent_id"), + "qualified_cpc" AS + (SELECT DISTINCT "patent_id" + FROM "PATENTSVIEW"."PATENTSVIEW"."CPC_CURRENT" + WHERE "subsection_id" IN ('C05', + 'C06', + 'C07', + 'C08', + 'C09', + 'C10', + 'C11', + 'C12', + 'C13') + OR "group_id" IN ('A01G', + 'A01H', + 'A61K', + 'A61P', + 'A61Q', + 'B01F', + 'B01J', + 'B81B', + 'B82B', + 'B82Y', + 'G01N', + 'G16H')), + "base_pats" AS + (SELECT DISTINCT p."id" AS "patent_id", + p."title", + p."abstract", + TRY_TO_DATE(p."date") AS "publication_date", + f."filing_date" + FROM "PATENTSVIEW"."PATENTSVIEW"."PATENT" p + JOIN "filings" f ON p."id" = f."patent_id" + JOIN "qualified_cpc" qc ON p."id" = qc."patent_id" + WHERE p."country" = 'US' + AND f."filing_date" BETWEEN TO_DATE('2014-01-01') AND TO_DATE('2014-02-01') + AND TRY_TO_DATE(p."date") IS NOT NULL), + "backward_counts" AS + (SELECT bc."patent_id", + COUNT(DISTINCT bc."citation_id") AS "backward_citations" + FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" bc + JOIN "base_pats" b ON bc."patent_id" = b."patent_id" + WHERE TRY_TO_DATE(bc."date") IS NOT NULL + AND TRY_TO_DATE(bc."date") < b."filing_date" + GROUP BY bc."patent_id"), + "forward_counts" AS + (SELECT fc."citation_id" AS "patent_id", + COUNT(DISTINCT fc."patent_id") AS "forward_citations" + FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" fc + JOIN "base_pats" b ON fc."citation_id" = b."patent_id" + JOIN "PATENTSVIEW"."PATENTSVIEW"."PATENT" pc ON pc."id" = fc."patent_id" + WHERE TRY_TO_DATE(pc."date") IS NOT NULL + AND TRY_TO_DATE(pc."date") >= b."publication_date" + AND TRY_TO_DATE(pc."date") <= DATEADD(YEAR, 5, b."publication_date") + GROUP BY fc."citation_id") +SELECT b."title", + b."abstract", + b."publication_date", + COALESCE(back."backward_citations", 0) AS "backward_citation_count", + COALESCE(fwd."forward_citations", 0) AS "forward_citation_count" FROM "base_pats" b LEFT JOIN "backward_counts" back ON back."patent_id" = b."patent_id" LEFT JOIN "forward_counts" fwd ON fwd."patent_id" = b."patent_id" -ORDER BY b."publication_date", b."title" +ORDER BY b."publication_date", + b."title" diff --git a/spider2/queries/snow_sf_bq150.sql b/spider2/queries/snow_sf_bq150.sql index a7aaa36c139f6ba93a63235abc74617844e2b548..dfea306ec84e2ef7770f31fccb25ef550ca4f9d9 100644 --- a/spider2/queries/snow_sf_bq150.sql +++ b/spider2/queries/snow_sf_bq150.sql @@ -1,72 +1,54 @@ -with expr as ( - select - "sample_barcode", - ln("normalized_count") / ln(10) as log_expr - from "TCGA_HG19_DATA_V0"."TCGA_HG19_DATA_V0"."RNASEQ_GENE_EXPRESSION_UNC_RSEM" - where "project_short_name" = 'TCGA-BRCA' - and "HGNC_gene_symbol" = 'TP53' - and "normalized_count" > 0 - and substr("sample_barcode", 14, 2) = '01' -), -mut as ( - select - "sample_barcode_tumor" as sample_barcode, - case - when count(distinct "Variant_Classification") = 1 then max("Variant_Classification") - else 'Multiple' - end as mutation_type - from "TCGA_HG19_DATA_V0"."TCGA_HG19_DATA_V0"."SOMATIC_MUTATION_MC3" - where "project_short_name" = 'TCGA-BRCA' - and "Hugo_Symbol" = 'TP53' - group by "sample_barcode_tumor" -), -combined as ( - select - e."sample_barcode", - coalesce(m.mutation_type, 'No Mutation') as mutation_type, - e.log_expr - from expr e - left join mut m - on e."sample_barcode" = m.sample_barcode -), -group_stats as ( - select - mutation_type, - count(*) as n_j, - avg(log_expr) as mean_j - from combined - group by mutation_type -), -overall as ( - select - count(*) as N, - avg(log_expr) as grand_mean - from combined -), -ss_between as ( - select - sum(gs.n_j * power(gs.mean_j - o.grand_mean, 2)) as ssb - from group_stats gs - cross join overall o -), -ss_within as ( - select - sum(power(c.log_expr - gs.mean_j, 2)) as ssw - from combined c - join group_stats gs - on c.mutation_type = gs.mutation_type -), -group_count as ( - select count(*) as k - from group_stats -) -select - o.N as total_samples, - gc.k as mutation_types, - ssb.ssb / nullif(gc.k - 1, 0) as mean_square_between, - ssw.ssw / nullif(o.N - gc.k, 0) as mean_square_within, - (ssb.ssb / nullif(gc.k - 1, 0)) / (ssw.ssw / nullif(o.N - gc.k, 0)) as f_statistic -from overall o -cross join group_count gc -cross join ss_between ssb -cross join ss_within ssw; +WITH expr AS + (SELECT "sample_barcode", + ln("normalized_count") / ln(10) AS log_expr + FROM "TCGA_HG19_DATA_V0"."TCGA_HG19_DATA_V0"."RNASEQ_GENE_EXPRESSION_UNC_RSEM" + WHERE "project_short_name" = 'TCGA-BRCA' + AND "HGNC_gene_symbol" = 'TP53' + AND "normalized_count" > 0 + AND substr("sample_barcode", 14, 2) = '01'), + mut AS + (SELECT "sample_barcode_tumor" AS sample_barcode, + CASE + WHEN count(DISTINCT "Variant_Classification") = 1 THEN max("Variant_Classification") + ELSE 'Multiple' + END AS mutation_type + FROM "TCGA_HG19_DATA_V0"."TCGA_HG19_DATA_V0"."SOMATIC_MUTATION_MC3" + WHERE "project_short_name" = 'TCGA-BRCA' + AND "Hugo_Symbol" = 'TP53' + GROUP BY "sample_barcode_tumor"), + combined AS + (SELECT e."sample_barcode", + coalesce(m.mutation_type, 'No Mutation') AS mutation_type, + e.log_expr + FROM expr e + LEFT JOIN mut m ON e."sample_barcode" = m.sample_barcode), + group_stats AS + (SELECT mutation_type, + count(*) AS n_j, + avg(log_expr) AS mean_j + FROM combined + GROUP BY mutation_type), + overall AS + (SELECT count(*) AS N, + avg(log_expr) AS grand_mean + FROM combined), + ss_between AS + (SELECT sum(gs.n_j * power(gs.mean_j - o.grand_mean, 2)) AS ssb + FROM group_stats gs + CROSS JOIN overall o), + ss_within AS + (SELECT sum(power(c.log_expr - gs.mean_j, 2)) AS ssw + FROM combined c + JOIN group_stats gs ON c.mutation_type = gs.mutation_type), + group_count AS + (SELECT count(*) AS k + FROM group_stats) +SELECT o.N AS total_samples, + gc.k AS mutation_types, + ssb.ssb / nullif(gc.k - 1, 0) AS mean_square_between, + ssw.ssw / nullif(o.N - gc.k, 0) AS mean_square_within, + (ssb.ssb / nullif(gc.k - 1, 0)) / (ssw.ssw / nullif(o.N - gc.k, 0)) AS f_statistic +FROM overall o +CROSS JOIN group_count gc +CROSS JOIN ss_between ssb +CROSS JOIN ss_within ssw; diff --git a/spider2/queries/snow_sf_bq153.sql b/spider2/queries/snow_sf_bq153.sql index fe93c1679f31dacf3c0989cc7ef2539697f3b91b..9ec2cca3135191691a298d018ff582f030fc8f67 100644 --- a/spider2/queries/snow_sf_bq153.sql +++ b/spider2/queries/snow_sf_bq153.sql @@ -1,23 +1,17 @@ -WITH PatientAvg AS ( - SELECT - T1."bcr_patient_barcode", - T1."icd_o_3_histology", - AVG(LOG(10, T2."normalized_count" + 1)) AS AvgLogExpression - FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" AS T1 - JOIN "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."EBPP_ADJUSTPANCAN_ILLUMINAHISEQ_RNASEQV2_GENEXP_FILTERED" AS T2 - ON T1."bcr_patient_barcode" = T2."ParticipantBarcode" - WHERE - T1."acronym" = 'LGG' - AND T2."Symbol" = 'IGF2' - AND T1."icd_o_3_histology" IS NOT NULL - AND NOT (T1."icd_o_3_histology" LIKE '[%' AND T1."icd_o_3_histology" LIKE '%]') - GROUP BY - T1."bcr_patient_barcode", - T1."icd_o_3_histology" -) -SELECT - "icd_o_3_histology", - AVG(AvgLogExpression) +WITH PatientAvg AS + (SELECT T1."bcr_patient_barcode", + T1."icd_o_3_histology", + AVG(LOG(10, T2."normalized_count" + 1)) AS AvgLogExpression + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" AS T1 + JOIN "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."EBPP_ADJUSTPANCAN_ILLUMINAHISEQ_RNASEQV2_GENEXP_FILTERED" AS T2 ON T1."bcr_patient_barcode" = T2."ParticipantBarcode" + WHERE T1."acronym" = 'LGG' + AND T2."Symbol" = 'IGF2' + AND T1."icd_o_3_histology" IS NOT NULL + AND NOT (T1."icd_o_3_histology" LIKE '[%' + AND T1."icd_o_3_histology" LIKE '%]') + GROUP BY T1."bcr_patient_barcode", + T1."icd_o_3_histology") +SELECT "icd_o_3_histology", + AVG(AvgLogExpression) FROM PatientAvg -GROUP BY - "icd_o_3_histology"; +GROUP BY "icd_o_3_histology"; diff --git a/spider2/queries/snow_sf_bq155.sql b/spider2/queries/snow_sf_bq155.sql index 604539558cdd72acae58b00e2ff386c10f3a83bc..27df69a1a192570541e7804b1f6baa2b203f3b1a 100644 --- a/spider2/queries/snow_sf_bq155.sql +++ b/spider2/queries/snow_sf_bq155.sql @@ -1,51 +1,35 @@ -WITH FilteredCases AS ( - SELECT - "case_barcode" - FROM "TCGA_HG38_DATA_V0"."TCGA_BIOCLIN_V0"."CLINICAL" - WHERE - "project_short_name" = 'TCGA-BRCA' - AND "age_at_diagnosis" <= 80 - AND "pathologic_stage" IN ('Stage I', 'Stage II', 'Stage IIA') -), -SNORA31_Expression AS ( - SELECT - T1."case_barcode", - LOG(10, AVG(T1."HTSeq__Counts") + 1) AS snora31_log_expr - FROM "TCGA_HG38_DATA_V0"."TCGA_HG38_DATA_V0"."RNASEQ_GENE_EXPRESSION" AS T1 - INNER JOIN FilteredCases AS T2 - ON T1."case_barcode" = T2."case_barcode" - WHERE - T1."gene_name" = 'SNORA31' - GROUP BY - T1."case_barcode" -), -miRNA_Expression AS ( - SELECT - T1."case_barcode", - T1."mirna_id", - AVG(T1."reads_per_million_miRNA_mapped") AS mirna_avg_expr - FROM "TCGA_HG38_DATA_V0"."TCGA_HG38_DATA_V0"."MIRNASEQ_EXPRESSION" AS T1 - INNER JOIN FilteredCases AS T2 - ON T1."case_barcode" = T2."case_barcode" - GROUP BY - T1."case_barcode", - T1."mirna_id" -), -CorrelationData AS ( - SELECT - T2."mirna_id", - CORR(T1.snora31_log_expr, T2.mirna_avg_expr) AS pearson_corr, - COUNT(*) AS sample_count - FROM SNORA31_Expression AS T1 - INNER JOIN miRNA_Expression AS T2 - ON T1."case_barcode" = T2."case_barcode" - GROUP BY - T2."mirna_id" -) -SELECT - "mirna_id", - pearson_corr * SQRT((sample_count - 2) / (1 - pearson_corr * pearson_corr)) AS t_statistic +WITH FilteredCases AS + (SELECT "case_barcode" + FROM "TCGA_HG38_DATA_V0"."TCGA_BIOCLIN_V0"."CLINICAL" + WHERE "project_short_name" = 'TCGA-BRCA' + AND "age_at_diagnosis" <= 80 + AND "pathologic_stage" IN ('Stage I', + 'Stage II', + 'Stage IIA')), + SNORA31_Expression AS + (SELECT T1."case_barcode", + LOG(10, AVG(T1."HTSeq__Counts") + 1) AS snora31_log_expr + FROM "TCGA_HG38_DATA_V0"."TCGA_HG38_DATA_V0"."RNASEQ_GENE_EXPRESSION" AS T1 + INNER JOIN FilteredCases AS T2 ON T1."case_barcode" = T2."case_barcode" + WHERE T1."gene_name" = 'SNORA31' + GROUP BY T1."case_barcode"), + miRNA_Expression AS + (SELECT T1."case_barcode", + T1."mirna_id", + AVG(T1."reads_per_million_miRNA_mapped") AS mirna_avg_expr + FROM "TCGA_HG38_DATA_V0"."TCGA_HG38_DATA_V0"."MIRNASEQ_EXPRESSION" AS T1 + INNER JOIN FilteredCases AS T2 ON T1."case_barcode" = T2."case_barcode" + GROUP BY T1."case_barcode", + T1."mirna_id"), + CorrelationData AS + (SELECT T2."mirna_id", + CORR(T1.snora31_log_expr, T2.mirna_avg_expr) AS pearson_corr, + COUNT(*) AS sample_count + FROM SNORA31_Expression AS T1 + INNER JOIN miRNA_Expression AS T2 ON T1."case_barcode" = T2."case_barcode" + GROUP BY T2."mirna_id") +SELECT "mirna_id", + pearson_corr * SQRT((sample_count - 2) / (1 - pearson_corr * pearson_corr)) AS t_statistic FROM CorrelationData -WHERE - sample_count > 25 - AND ABS(pearson_corr) BETWEEN 0.3 AND 1.0 +WHERE sample_count > 25 + AND ABS(pearson_corr) BETWEEN 0.3 AND 1.0 diff --git a/spider2/queries/snow_sf_bq158.sql b/spider2/queries/snow_sf_bq158.sql index ed68cce63503a74f0d96ca5f7919eab071e375f4..3bbe9ea4178ad5f528fb612cd81cb794affbf45a 100644 --- a/spider2/queries/snow_sf_bq158.sql +++ b/spider2/queries/snow_sf_bq158.sql @@ -1,41 +1,33 @@ -WITH clinical_brca AS ( - SELECT DISTINCT - c."bcr_patient_barcode" AS "ParticipantBarcode", - c."histological_type" - FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" c - WHERE c."acronym" = 'BRCA' - AND c."histological_type" IS NOT NULL -), -brca_patients AS ( - SELECT DISTINCT - m."ParticipantBarcode" - FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" m - WHERE m."Study" = 'BRCA' -), -denom_hist AS ( - SELECT - p."ParticipantBarcode", - cb."histological_type" - FROM brca_patients p - JOIN clinical_brca cb - ON p."ParticipantBarcode" = cb."ParticipantBarcode" -), -cdh1_mutants AS ( - SELECT DISTINCT - m."ParticipantBarcode" - FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" m - WHERE m."Study" = 'BRCA' - AND m."Hugo_Symbol" = 'CDH1' -) -SELECT - dh."histological_type" AS "histological_type", - COUNT(DISTINCT CASE WHEN cm."ParticipantBarcode" IS NOT NULL THEN dh."ParticipantBarcode" END) AS "mutated_cases", - COUNT(DISTINCT dh."ParticipantBarcode") AS "total_cases", - 100.0 * COUNT(DISTINCT CASE WHEN cm."ParticipantBarcode" IS NOT NULL THEN dh."ParticipantBarcode" END) - / NULLIF(COUNT(DISTINCT dh."ParticipantBarcode"), 0) AS "cdh1_mutation_percentage" +WITH clinical_brca AS + (SELECT DISTINCT c."bcr_patient_barcode" AS "ParticipantBarcode", + c."histological_type" + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" c + WHERE c."acronym" = 'BRCA' + AND c."histological_type" IS NOT NULL), + brca_patients AS + (SELECT DISTINCT m."ParticipantBarcode" + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" m + WHERE m."Study" = 'BRCA'), + denom_hist AS + (SELECT p."ParticipantBarcode", + cb."histological_type" + FROM brca_patients p + JOIN clinical_brca cb ON p."ParticipantBarcode" = cb."ParticipantBarcode"), + cdh1_mutants AS + (SELECT DISTINCT m."ParticipantBarcode" + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" m + WHERE m."Study" = 'BRCA' + AND m."Hugo_Symbol" = 'CDH1') +SELECT dh."histological_type" AS "histological_type", + COUNT(DISTINCT CASE + WHEN cm."ParticipantBarcode" IS NOT NULL THEN dh."ParticipantBarcode" + END) AS "mutated_cases", + COUNT(DISTINCT dh."ParticipantBarcode") AS "total_cases", + 100.0 * COUNT(DISTINCT CASE + WHEN cm."ParticipantBarcode" IS NOT NULL THEN dh."ParticipantBarcode" + END) / NULLIF(COUNT(DISTINCT dh."ParticipantBarcode"), 0) AS "cdh1_mutation_percentage" FROM denom_hist dh -LEFT JOIN cdh1_mutants cm - ON dh."ParticipantBarcode" = cm."ParticipantBarcode" +LEFT JOIN cdh1_mutants cm ON dh."ParticipantBarcode" = cm."ParticipantBarcode" GROUP BY dh."histological_type" ORDER BY "cdh1_mutation_percentage" DESC LIMIT 5; diff --git a/spider2/queries/snow_sf_bq159.sql b/spider2/queries/snow_sf_bq159.sql index abffef1bf564e3a1f39c9b8d478b60e65dbe0176..16a2c93cdac8d0f4a20781fa4d964ec31f7fff37 100644 --- a/spider2/queries/snow_sf_bq159.sql +++ b/spider2/queries/snow_sf_bq159.sql @@ -1,60 +1,47 @@ -WITH Cdh1MutatedPatients AS ( - SELECT DISTINCT - "ParticipantBarcode" - FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" - WHERE - "Hugo_Symbol" = 'CDH1' AND "FILTER" = 'PASS' -), PatientData AS ( - SELECT - T1."histological_type", - CASE - WHEN T2."ParticipantBarcode" IS NOT NULL THEN 'mutated' - ELSE 'not_mutated' - END AS mutation_status - FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" AS T1 - LEFT JOIN Cdh1MutatedPatients AS T2 - ON T1."bcr_patient_barcode" = T2."ParticipantBarcode" - WHERE - T1."acronym" = 'BRCA' - AND T1."histological_type" IS NOT NULL -), InitialContingency AS ( - SELECT - "histological_type", - mutation_status, - COUNT(*) AS observed - FROM PatientData - GROUP BY - "histological_type", - mutation_status -), FilteredContingency AS ( - SELECT - "histological_type", - mutation_status, - observed - FROM InitialContingency - WHERE - "histological_type" IN ( - SELECT "histological_type" - FROM InitialContingency - GROUP BY "histological_type" - HAVING SUM(observed) > 10 - ) - AND mutation_status IN ( - SELECT mutation_status - FROM InitialContingency - GROUP BY mutation_status - HAVING SUM(observed) > 10 - ) -), ChiSquareInput AS ( - SELECT - "histological_type", - mutation_status, - observed, - SUM(observed) OVER (PARTITION BY "histological_type") AS row_total, - SUM(observed) OVER (PARTITION BY mutation_status) AS col_total, - SUM(observed) OVER () AS grand_total - FROM FilteredContingency -) -SELECT - SUM(POWER(observed - (row_total * col_total / grand_total), 2) / (row_total * col_total / grand_total)) +WITH Cdh1MutatedPatients AS + (SELECT DISTINCT "ParticipantBarcode" + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."MC3_MAF_V5_ONE_PER_TUMOR_SAMPLE" + WHERE "Hugo_Symbol" = 'CDH1' + AND "FILTER" = 'PASS'), + PatientData AS + (SELECT T1."histological_type", + CASE + WHEN T2."ParticipantBarcode" IS NOT NULL THEN 'mutated' + ELSE 'not_mutated' + END AS mutation_status + FROM "PANCANCER_ATLAS_1"."PANCANCER_ATLAS_FILTERED"."CLINICAL_PANCAN_PATIENT_WITH_FOLLOWUP_FILTERED" AS T1 + LEFT JOIN Cdh1MutatedPatients AS T2 ON T1."bcr_patient_barcode" = T2."ParticipantBarcode" + WHERE T1."acronym" = 'BRCA' + AND T1."histological_type" IS NOT NULL), + InitialContingency AS + (SELECT "histological_type", + mutation_status, + COUNT(*) AS observed + FROM PatientData + GROUP BY "histological_type", + mutation_status), + FilteredContingency AS + (SELECT "histological_type", + mutation_status, + observed + FROM InitialContingency + WHERE "histological_type" IN + (SELECT "histological_type" + FROM InitialContingency + GROUP BY "histological_type" + HAVING SUM(observed) > 10) + AND mutation_status IN + (SELECT mutation_status + FROM InitialContingency + GROUP BY mutation_status + HAVING SUM(observed) > 10)), + ChiSquareInput AS + (SELECT "histological_type", + mutation_status, + observed, + SUM(observed) OVER (PARTITION BY "histological_type") AS row_total, + SUM(observed) OVER (PARTITION BY mutation_status) AS col_total, + SUM(observed) OVER () AS grand_total + FROM FilteredContingency) +SELECT SUM(POWER(observed - (row_total * col_total / grand_total), 2) / (row_total * col_total / grand_total)) FROM ChiSquareInput; diff --git a/spider2/queries/snow_sf_bq166.sql b/spider2/queries/snow_sf_bq166.sql index f69d08207e1166bc1f15634c3394d4e672669519..9e68a61abf74890a1c8c935e267f4714200aa859 100644 --- a/spider2/queries/snow_sf_bq166.sql +++ b/spider2/queries/snow_sf_bq166.sql @@ -1,83 +1,89 @@ -WITH "kirc_total" AS ( - SELECT COUNT(DISTINCT "case_barcode") AS "total_cases" - FROM "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" - WHERE "project_short_name" = 'TCGA-KIRC' -), -"seg_band" AS ( - SELECT - s."case_barcode", - s."sample_barcode", - s."chromosome", - b."cytoband_name", - s."copy_number" - FROM "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" s - JOIN "TCGA_MITELMAN"."PROD"."CYTOBANDS_HG38" b - ON s."chromosome" = b."chromosome" +WITH "kirc_total" AS + (SELECT COUNT(DISTINCT "case_barcode") AS "total_cases" + FROM "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" + WHERE "project_short_name" = 'TCGA-KIRC'), + "seg_band" AS + (SELECT s."case_barcode", + s."sample_barcode", + s."chromosome", + b."cytoband_name", + s."copy_number" + FROM "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" s + JOIN "TCGA_MITELMAN"."PROD"."CYTOBANDS_HG38" b ON s."chromosome" = b."chromosome" AND LEAST(s."end_pos", b."hg38_stop") - GREATEST(s."start_pos", b."hg38_start") > 0 - WHERE s."project_short_name" = 'TCGA-KIRC' -), -"sample_band_max" AS ( - SELECT - "case_barcode", - "sample_barcode", - "chromosome", - "cytoband_name", - MAX("copy_number") AS "sample_max_copy" - FROM "seg_band" - GROUP BY "case_barcode", "sample_barcode", "chromosome", "cytoband_name" -), -"case_band_max" AS ( - SELECT - "case_barcode", - "chromosome", - "cytoband_name", - MAX("sample_max_copy") AS "case_max_copy" - FROM "sample_band_max" - GROUP BY "case_barcode", "chromosome", "cytoband_name" -), -"case_band_category" AS ( - SELECT - "case_barcode", - "chromosome", - "cytoband_name", - CASE - WHEN "case_max_copy" > 3 THEN 'Amplification' - WHEN "case_max_copy" = 3 THEN 'Gain' - WHEN "case_max_copy" = 2 THEN 'Normal' - WHEN "case_max_copy" = 1 THEN 'Heterozygous Deletion' - WHEN "case_max_copy" = 0 THEN 'Homozygous Deletion' - ELSE 'Unknown' - END AS "category" - FROM "case_band_max" -), -"band_counts" AS ( - SELECT - "chromosome", - "cytoband_name", - SUM(CASE WHEN "category" = 'Amplification' THEN 1 ELSE 0 END) AS "n_amplification", - SUM(CASE WHEN "category" = 'Gain' THEN 1 ELSE 0 END) AS "n_gain", - SUM(CASE WHEN "category" = 'Homozygous Deletion' THEN 1 ELSE 0 END) AS "n_homdel", - SUM(CASE WHEN "category" = 'Heterozygous Deletion' THEN 1 ELSE 0 END) AS "n_hetdel", - SUM(CASE WHEN "category" = 'Normal' THEN 1 ELSE 0 END) AS "n_normal" - FROM "case_band_category" - GROUP BY "chromosome", "cytoband_name" -) -SELECT - bc."chromosome", - bc."cytoband_name", - 100.0 * bc."n_amplification" / kt."total_cases" AS "amplification_pct", - 100.0 * bc."n_gain" / kt."total_cases" AS "gain_pct", - 100.0 * bc."n_homdel" / kt."total_cases" AS "homozygous_deletion_pct", - 100.0 * bc."n_hetdel" / kt."total_cases" AS "heterozygous_deletion_pct", - 100.0 * bc."n_normal" / kt."total_cases" AS "normal_pct" + WHERE s."project_short_name" = 'TCGA-KIRC'), + "sample_band_max" AS + (SELECT "case_barcode", + "sample_barcode", + "chromosome", + "cytoband_name", + MAX("copy_number") AS "sample_max_copy" + FROM "seg_band" + GROUP BY "case_barcode", + "sample_barcode", + "chromosome", + "cytoband_name"), + "case_band_max" AS + (SELECT "case_barcode", + "chromosome", + "cytoband_name", + MAX("sample_max_copy") AS "case_max_copy" + FROM "sample_band_max" + GROUP BY "case_barcode", + "chromosome", + "cytoband_name"), + "case_band_category" AS + (SELECT "case_barcode", + "chromosome", + "cytoband_name", + CASE + WHEN "case_max_copy" > 3 THEN 'Amplification' + WHEN "case_max_copy" = 3 THEN 'Gain' + WHEN "case_max_copy" = 2 THEN 'Normal' + WHEN "case_max_copy" = 1 THEN 'Heterozygous Deletion' + WHEN "case_max_copy" = 0 THEN 'Homozygous Deletion' + ELSE 'Unknown' + END AS "category" + FROM "case_band_max"), + "band_counts" AS + (SELECT "chromosome", + "cytoband_name", + SUM(CASE + WHEN "category" = 'Amplification' THEN 1 + ELSE 0 + END) AS "n_amplification", + SUM(CASE + WHEN "category" = 'Gain' THEN 1 + ELSE 0 + END) AS "n_gain", + SUM(CASE + WHEN "category" = 'Homozygous Deletion' THEN 1 + ELSE 0 + END) AS "n_homdel", + SUM(CASE + WHEN "category" = 'Heterozygous Deletion' THEN 1 + ELSE 0 + END) AS "n_hetdel", + SUM(CASE + WHEN "category" = 'Normal' THEN 1 + ELSE 0 + END) AS "n_normal" + FROM "case_band_category" + GROUP BY "chromosome", + "cytoband_name") +SELECT bc."chromosome", + bc."cytoband_name", + 100.0 * bc."n_amplification" / kt."total_cases" AS "amplification_pct", + 100.0 * bc."n_gain" / kt."total_cases" AS "gain_pct", + 100.0 * bc."n_homdel" / kt."total_cases" AS "homozygous_deletion_pct", + 100.0 * bc."n_hetdel" / kt."total_cases" AS "heterozygous_deletion_pct", + 100.0 * bc."n_normal" / kt."total_cases" AS "normal_pct" FROM "band_counts" bc CROSS JOIN "kirc_total" kt -ORDER BY - CASE - WHEN REGEXP_LIKE(REGEXP_REPLACE(bc."chromosome", '^chr', ''), '^[0-9]+$') - THEN TO_NUMBER(REGEXP_REPLACE(bc."chromosome", '^chr', '')) - WHEN REGEXP_REPLACE(bc."chromosome", '^chr', '') = 'X' THEN 23 - WHEN REGEXP_REPLACE(bc."chromosome", '^chr', '') = 'Y' THEN 24 - ELSE 25 - END, - bc."cytoband_name"; +ORDER BY CASE + WHEN REGEXP_LIKE(REGEXP_REPLACE(bc."chromosome", '^chr', ''), '^[0-9]+$') THEN TO_NUMBER(REGEXP_REPLACE(bc."chromosome", '^chr', '')) + WHEN REGEXP_REPLACE(bc."chromosome", '^chr', '') = 'X' THEN 23 + WHEN REGEXP_REPLACE(bc."chromosome", '^chr', '') = 'Y' THEN 24 + ELSE 25 + END, + bc."cytoband_name"; diff --git a/spider2/queries/snow_sf_bq167.sql b/spider2/queries/snow_sf_bq167.sql index 40463d83a1bfb2a53bc65e8ae0ea17839438d657..7373d46eb71b0b643051bdee5526d24be5c749fc 100644 --- a/spider2/queries/snow_sf_bq167.sql +++ b/spider2/queries/snow_sf_bq167.sql @@ -1,27 +1,21 @@ -WITH "DIRECTED" AS ( - SELECT - "v"."FromUserId" AS "FROM_USER_ID", - "v"."ToUserId" AS "TO_USER_ID", - COUNT(DISTINCT "v"."ForumMessageId") AS "RECEIVED_CNT" - FROM "META_KAGGLE"."META_KAGGLE"."FORUMMESSAGEVOTES" AS "v" - WHERE "v"."FromUserId" IS NOT NULL - AND "v"."ToUserId" IS NOT NULL - AND "v"."FromUserId" != "v"."ToUserId" - GROUP BY "v"."FromUserId", "v"."ToUserId" -) -SELECT - COALESCE("u_from"."UserName", "u_from"."DisplayName") AS "GiverUserName", - COALESCE("u_to"."UserName", "u_to"."DisplayName") AS "ReceiverUserName", - "d"."RECEIVED_CNT" AS "ReceivedUpvotes", - COALESCE("d2"."RECEIVED_CNT", 0) AS "ReturnedUpvotes" +WITH "DIRECTED" AS + (SELECT "v"."FromUserId" AS "FROM_USER_ID", + "v"."ToUserId" AS "TO_USER_ID", + COUNT(DISTINCT "v"."ForumMessageId") AS "RECEIVED_CNT" + FROM "META_KAGGLE"."META_KAGGLE"."FORUMMESSAGEVOTES" AS "v" + WHERE "v"."FromUserId" IS NOT NULL + AND "v"."ToUserId" IS NOT NULL + AND "v"."FromUserId" != "v"."ToUserId" + GROUP BY "v"."FromUserId", + "v"."ToUserId") +SELECT COALESCE("u_from"."UserName", "u_from"."DisplayName") AS "GiverUserName", + COALESCE("u_to"."UserName", "u_to"."DisplayName") AS "ReceiverUserName", + "d"."RECEIVED_CNT" AS "ReceivedUpvotes", + COALESCE("d2"."RECEIVED_CNT", 0) AS "ReturnedUpvotes" FROM "DIRECTED" AS "d" -LEFT JOIN "DIRECTED" AS "d2" - ON "d2"."FROM_USER_ID" = "d"."TO_USER_ID" - AND "d2"."TO_USER_ID" = "d"."FROM_USER_ID" -LEFT JOIN "META_KAGGLE"."META_KAGGLE"."USERS" AS "u_from" - ON "u_from"."Id" = "d"."FROM_USER_ID" -LEFT JOIN "META_KAGGLE"."META_KAGGLE"."USERS" AS "u_to" - ON "u_to"."Id" = "d"."TO_USER_ID" +LEFT JOIN "DIRECTED" AS "d2" ON "d2"."FROM_USER_ID" = "d"."TO_USER_ID" +AND "d2"."TO_USER_ID" = "d"."FROM_USER_ID" +LEFT JOIN "META_KAGGLE"."META_KAGGLE"."USERS" AS "u_from" ON "u_from"."Id" = "d"."FROM_USER_ID" +LEFT JOIN "META_KAGGLE"."META_KAGGLE"."USERS" AS "u_to" ON "u_to"."Id" = "d"."TO_USER_ID" ORDER BY "d"."RECEIVED_CNT" DESC, - COALESCE("d2"."RECEIVED_CNT", 0) DESC -FETCH FIRST 1 ROWS ONLY; + COALESCE("d2"."RECEIVED_CNT", 0) DESC FETCH FIRST 1 ROWS ONLY; diff --git a/spider2/queries/snow_sf_bq176.sql b/spider2/queries/snow_sf_bq176.sql index 6e7020112785d1a2046bf0e95e694397ca704e86..81aad209cb043738dc754171d7cacdeba52598dd 100644 --- a/spider2/queries/snow_sf_bq176.sql +++ b/spider2/queries/snow_sf_bq176.sql @@ -1,62 +1,50 @@ /* -Goal: Identify TCGA-LAML case barcodes with the highest weighted average copy number +Goal: Identify TCGA-LAML case barcodes with the highest weighted average copy number inside cytoband 15q11 (chr15:19,000,000-25,500,000 on hg38). ‑ Use cytoband coordinates from CYTOBANDS_HG38. - ‑ Use segment-level copy number from COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23 + ‑ Use segment-level copy number from COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23 (this table stores integer "copy_number" values and chromosome names like 'chr15'). ‑ Weighted average = Σ(copy_number * overlap_length) / Σ(overlap_length), where overlap_length is the number of bases of a segment that fall inside 15q11. ‑ Return the barcode(s) whose weighted average equals the global maximum. -*/ +*/ WITH band AS + (/* Exact genomic span of cytoband 15q11 on chr15 (hg38) */ SELECT MIN("hg38_start") AS "region_start", + MAX("hg38_stop") AS "region_end" + FROM "TCGA_MITELMAN"."PROD"."CYTOBANDS_HG38" + WHERE "cytoband_name" ILIKE '15q11%' -- include 15q11, 15q11.1, 15q11.2, ... -WITH band AS ( - /* Exact genomic span of cytoband 15q11 on chr15 (hg38) */ - SELECT - MIN("hg38_start") AS "region_start", - MAX("hg38_stop") AS "region_end" - FROM "TCGA_MITELMAN"."PROD"."CYTOBANDS_HG38" - WHERE "cytoband_name" ILIKE '15q11%' -- include 15q11, 15q11.1, 15q11.2, ... - AND "chromosome" = 'chr15' -), laml_segments AS ( - /* All chr15 copy-number segments for TCGA-LAML cases (hg38, allelic table) */ - SELECT - s."case_barcode", - s."start_pos", - s."end_pos", - s."copy_number" - FROM "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" s - WHERE s."project_short_name" = 'TCGA-LAML' - AND s."chromosome" = 'chr15' -), overlaps AS ( - /* Keep only segment portions that actually overlap 15q11 */ - SELECT - l."case_barcode", - GREATEST(l."start_pos", b."region_start") AS "ov_start", - LEAST(l."end_pos", b."region_end") AS "ov_end", - l."copy_number" - FROM laml_segments l - CROSS JOIN band b - WHERE l."end_pos" >= b."region_start" -- segment starts before region end - AND l."start_pos" <= b."region_end" -- segment ends after region start -), weighted AS ( - /* Compute weighted sums per case */ - SELECT - "case_barcode", - SUM( ("ov_end" - "ov_start" + 1) * "copy_number" ) AS "weighted_sum", - SUM( "ov_end" - "ov_start" + 1 ) AS "total_len" - FROM overlaps - GROUP BY "case_barcode" -), per_case AS ( - /* Final weighted average copy number per case */ - SELECT - "case_barcode", - "weighted_sum" / "total_len" AS "weighted_avg_copy_number" - FROM weighted -) -/* Return the barcode(s) with the highest weighted average */ + AND "chromosome" = 'chr15'), + laml_segments AS + (/* All chr15 copy-number segments for TCGA-LAML cases (hg38, allelic table) */ SELECT s."case_barcode", + s."start_pos", + s."end_pos", + s."copy_number" + FROM "TCGA_MITELMAN"."TCGA_VERSIONED"."COPY_NUMBER_SEGMENT_ALLELIC_HG38_GDC_R23" s + WHERE s."project_short_name" = 'TCGA-LAML' + AND s."chromosome" = 'chr15'), + OVERLAPS AS + (/* Keep only segment portions that actually overlap 15q11 */ SELECT l."case_barcode", + GREATEST(l."start_pos", b."region_start") AS "ov_start", + LEAST(l."end_pos", b."region_end") AS "ov_end", + l."copy_number" + FROM laml_segments l + CROSS JOIN band b + WHERE l."end_pos" >= b."region_start" -- segment starts before region end + + AND l."start_pos" <= b."region_end" -- segment ends after region start +), weighted AS + (/* Compute weighted sums per case */ SELECT "case_barcode", + SUM(("ov_end" - "ov_start" + 1) * "copy_number") AS "weighted_sum", + SUM("ov_end" - "ov_start" + 1) AS "total_len" + FROM OVERLAPS + GROUP BY "case_barcode"), + per_case AS + (/* Final weighted average copy number per case */ SELECT "case_barcode", + "weighted_sum" / "total_len" AS "weighted_avg_copy_number" + FROM weighted) /* Return the barcode(s) with the highest weighted average */ SELECT "case_barcode" FROM per_case -WHERE "weighted_avg_copy_number" = ( - SELECT MAX("weighted_avg_copy_number") FROM per_case -) +WHERE "weighted_avg_copy_number" = + (SELECT MAX("weighted_avg_copy_number") + FROM per_case) ORDER BY "case_barcode"; diff --git a/spider2/queries/snow_sf_bq182.sql b/spider2/queries/snow_sf_bq182.sql index e93049480c0d60270d8aa99ea8142a3244688de5..a355331253727ab04320b137c3419accb980ad5f 100644 --- a/spider2/queries/snow_sf_bq182.sql +++ b/spider2/queries/snow_sf_bq182.sql @@ -1,30 +1,28 @@ -WITH primary_languages AS ( - SELECT - "repo_name", - lang_data.value:"name"::string as primary_language, - ROW_NUMBER() OVER (PARTITION BY "repo_name" ORDER BY lang_data.value:"bytes"::int DESC) as rn - FROM GITHUB_REPOS_DATE.GITHUB_REPOS.LANGUAGES, - TABLE(FLATTEN(PARSE_JSON("language"))) as lang_data - WHERE "language" != '[]' -), -primary_lang_only AS ( - SELECT "repo_name", primary_language - FROM primary_languages - WHERE rn = 1 -), -pull_requests_jan18 AS ( - SELECT - "repo":"name"::string as repo_name, - COUNT(*) as pr_count - FROM GITHUB_REPOS_DATE.YEAR._2023 - WHERE "type" = 'PullRequestEvent' - AND "created_at" >= 1674009600000000 -- 2023-01-18 00:00:00 UTC - AND "created_at" < 1674096000000000 -- 2023-01-19 00:00:00 UTC - GROUP BY "repo":"name"::string -) -SELECT - plo.primary_language, - SUM(pr.pr_count) as total_pr_events +WITH primary_languages AS + (SELECT "repo_name", + lang_data.value:"name"::string AS primary_language, + ROW_NUMBER() OVER (PARTITION BY "repo_name" + ORDER BY lang_data.value:"bytes"::int DESC) AS rn + FROM GITHUB_REPOS_DATE.GITHUB_REPOS.LANGUAGES, + TABLE(FLATTEN(PARSE_JSON("language"))) AS lang_data + WHERE "language" != '[]'), + primary_lang_only AS + (SELECT "repo_name", + primary_language + FROM primary_languages + WHERE rn = 1), + pull_requests_jan18 AS + (SELECT "repo":"name"::string AS repo_name, + COUNT(*) AS pr_count + FROM GITHUB_REPOS_DATE.YEAR._2023 + WHERE "type" = 'PullRequestEvent' + AND "created_at" >= 1674009600000000 -- 2023-01-18 00:00:00 UTC + + AND "created_at" < 1674096000000000 -- 2023-01-19 00:00:00 UTC + + GROUP BY "repo":"name"::string) +SELECT plo.primary_language, + SUM(pr.pr_count) AS total_pr_events FROM primary_lang_only plo JOIN pull_requests_jan18 pr ON plo."repo_name" = pr.repo_name GROUP BY plo.primary_language diff --git a/spider2/queries/snow_sf_bq187.sql b/spider2/queries/snow_sf_bq187.sql index cf7cd4e309fd6483c12693541cc5a748eadb10df..f0b608066cb0154853029789e3c387c10fcb52de 100644 --- a/spider2/queries/snow_sf_bq187.sql +++ b/spider2/queries/snow_sf_bq187.sql @@ -1,34 +1,30 @@ -WITH inflows AS ( - SELECT - "to_address" AS address, - SUM(CAST("value" AS NUMBER)) AS total_received - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKEN_TRANSFERS" - WHERE "token_address" = '0xb8c77482e45f1f44de1745f52c74426c631bdd52' - AND "to_address" != '0x0000000000000000000000000000000000000000' - GROUP BY "to_address" -), -outflows AS ( - SELECT - "from_address" AS address, - SUM(CAST("value" AS NUMBER)) AS total_sent - FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKEN_TRANSFERS" - WHERE "token_address" = '0xb8c77482e45f1f44de1745f52c74426c631bdd52' - AND "from_address" != '0x0000000000000000000000000000000000000000' - GROUP BY "from_address" -), -all_addresses AS ( - SELECT address FROM inflows - UNION - SELECT address FROM outflows -), -net_balances AS ( - SELECT - aa.address, - COALESCE(i.total_received, 0) - COALESCE(o.total_sent, 0) AS balance - FROM all_addresses aa - LEFT JOIN inflows i ON aa.address = i.address - LEFT JOIN outflows o ON aa.address = o.address -) -SELECT - SUM(CASE WHEN balance > 0 THEN balance ELSE 0 END) / POWER(10, 18) AS total_circulating_supply +WITH inflows AS + (SELECT "to_address" AS address, + SUM(CAST("value" AS NUMBER)) AS total_received + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKEN_TRANSFERS" + WHERE "token_address" = '0xb8c77482e45f1f44de1745f52c74426c631bdd52' + AND "to_address" != '0x0000000000000000000000000000000000000000' + GROUP BY "to_address"), + outflows AS + (SELECT "from_address" AS address, + SUM(CAST("value" AS NUMBER)) AS total_sent + FROM "ETHEREUM_BLOCKCHAIN"."ETHEREUM_BLOCKCHAIN"."TOKEN_TRANSFERS" + WHERE "token_address" = '0xb8c77482e45f1f44de1745f52c74426c631bdd52' + AND "from_address" != '0x0000000000000000000000000000000000000000' + GROUP BY "from_address"), + all_addresses AS + (SELECT address + FROM inflows + UNION SELECT address + FROM outflows), + net_balances AS + (SELECT aa.address, + COALESCE(i.total_received, 0) - COALESCE(o.total_sent, 0) AS balance + FROM all_addresses aa + LEFT JOIN inflows i ON aa.address = i.address + LEFT JOIN outflows o ON aa.address = o.address) +SELECT SUM(CASE + WHEN balance > 0 THEN balance + ELSE 0 + END) / POWER(10, 18) AS total_circulating_supply FROM net_balances diff --git a/spider2/queries/snow_sf_bq193.sql b/spider2/queries/snow_sf_bq193.sql index 7faee1a49ee943b6c4a0cb1dda8b55b5e5e6618e..642b93162d6f5d50dd53422329cbf62f1e071cd8 100644 --- a/spider2/queries/snow_sf_bq193.sql +++ b/spider2/queries/snow_sf_bq193.sql @@ -1,37 +1,31 @@ -WITH readme_lines AS ( - SELECT - sc."sample_repo_name" AS "repo_name", - TRIM(REPLACE(l.value::string, '\r', '')) AS "line_clean" - FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_CONTENTS" sc, - LATERAL FLATTEN(input => SPLIT(sc."content", '\n')) l - WHERE sc."sample_path" ILIKE '%README.md' - AND NVL(sc."binary", FALSE) = FALSE - AND sc."content" IS NOT NULL -), -filtered_lines AS ( - SELECT - rl."repo_name", - rl."line_clean" - FROM readme_lines rl - WHERE rl."line_clean" != '' - AND LTRIM(rl."line_clean") NOT LIKE '#%' - AND LTRIM(rl."line_clean") NOT LIKE '//%' -), -repo_languages AS ( - SELECT - lg."repo_name", - TRIM(fl.value:"name"::string) AS "language_name" - FROM "GITHUB_REPOS"."GITHUB_REPOS"."LANGUAGES" lg, - LATERAL FLATTEN(input => lg."language") fl - WHERE fl.value:"name" IS NOT NULL - AND TRIM(fl.value:"name"::string) != '' -) -SELECT - f."line_clean" AS "line", - COUNT(DISTINCT f."repo_name") AS "frequency", - LISTAGG(DISTINCT rl."language_name", ', ') WITHIN GROUP (ORDER BY rl."language_name") AS "languages" +WITH readme_lines AS + (SELECT sc."sample_repo_name" AS "repo_name", + TRIM(REPLACE(l.value::string, '\r', '')) AS "line_clean" + FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_CONTENTS" sc, + LATERAL FLATTEN(INPUT => SPLIT(sc."content", '\n')) l + WHERE sc."sample_path" ILIKE '%README.md' + AND NVL(sc."binary", FALSE) = FALSE + AND sc."content" IS NOT NULL), + filtered_lines AS + (SELECT rl."repo_name", + rl."line_clean" + FROM readme_lines rl + WHERE rl."line_clean" != '' + AND LTRIM(rl."line_clean") NOT LIKE '#%' + AND LTRIM(rl."line_clean") NOT LIKE '//%'), + repo_languages AS + (SELECT lg."repo_name", + TRIM(fl.value:"name"::string) AS "language_name" + FROM "GITHUB_REPOS"."GITHUB_REPOS"."LANGUAGES" lg, + LATERAL FLATTEN(INPUT => lg."language") fl + WHERE fl.value:"name" IS NOT NULL + AND TRIM(fl.value:"name"::string) != '') +SELECT f."line_clean" AS "line", + COUNT(DISTINCT f."repo_name") AS "frequency", + LISTAGG(DISTINCT rl."language_name", ', ') WITHIN GROUP ( + ORDER BY rl."language_name") AS "languages" FROM filtered_lines f -LEFT JOIN repo_languages rl - ON rl."repo_name" = f."repo_name" +LEFT JOIN repo_languages rl ON rl."repo_name" = f."repo_name" GROUP BY f."line_clean" -ORDER BY "frequency" DESC, "line" ASC +ORDER BY "frequency" DESC, + "line" ASC diff --git a/spider2/queries/snow_sf_bq209.sql b/spider2/queries/snow_sf_bq209.sql index 5255e8265fd5679ae069004513b981d9341a82ae..87512419d03af6e241d8cc422b6a078db91cbf46 100644 --- a/spider2/queries/snow_sf_bq209.sql +++ b/spider2/queries/snow_sf_bq209.sql @@ -1,39 +1,34 @@ -WITH temp_view_2 AS ( -SELECT "publication_number", "application_number", "filing_date" -FROM "PATENTS"."PATENTS"."PUBLICATIONS" -WHERE "application_kind" = 'A' -AND "grant_date" >= 20100101 -AND "grant_date" <= 20101231 -), -citations_parsed AS ( -SELECT - p."publication_number" AS citing_patent, - c.value:publication_number::STRING AS cited_patent -FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, -LATERAL FLATTEN(input => p."citation") c -WHERE p."citation" IS NOT NULL -AND c.value:publication_number::STRING IS NOT NULL -AND c.value:publication_number::STRING != '' -), -temp_view_6 AS ( -SELECT - cp.citing_patent, - cp.cited_patent, - tv2."application_number", - tv2."filing_date" -FROM citations_parsed cp -INNER JOIN temp_view_2 tv2 ON cp.cited_patent = tv2."publication_number" -), -temp_view_7 AS ( -SELECT - tv6.cited_patent, - COUNT(DISTINCT p_citing."application_number") AS distinct_citing_applications -FROM temp_view_6 tv6 -INNER JOIN "PATENTS"."PATENTS"."PUBLICATIONS" p_citing ON tv6.citing_patent = p_citing."publication_number" -WHERE p_citing."filing_date" >= tv6."filing_date" -AND p_citing."filing_date" <= tv6."filing_date" + 100000 -GROUP BY tv6.cited_patent -) +WITH temp_view_2 AS + (SELECT "publication_number", + "application_number", + "filing_date" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" + WHERE "application_kind" = 'A' + AND "grant_date" >= 20100101 + AND "grant_date" <= 20101231), + citations_parsed AS + (SELECT p."publication_number" AS citing_patent, + c.value:publication_number::STRING AS cited_patent + FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, + LATERAL FLATTEN(INPUT => p."citation") c + WHERE p."citation" IS NOT NULL + AND c.value:publication_number::STRING IS NOT NULL + AND c.value:publication_number::STRING != ''), + temp_view_6 AS + (SELECT cp.citing_patent, + cp.cited_patent, + tv2."application_number", + tv2."filing_date" + FROM citations_parsed cp + INNER JOIN temp_view_2 tv2 ON cp.cited_patent = tv2."publication_number"), + temp_view_7 AS + (SELECT tv6.cited_patent, + COUNT(DISTINCT p_citing."application_number") AS distinct_citing_applications + FROM temp_view_6 tv6 + INNER JOIN "PATENTS"."PATENTS"."PUBLICATIONS" p_citing ON tv6.citing_patent = p_citing."publication_number" + WHERE p_citing."filing_date" >= tv6."filing_date" + AND p_citing."filing_date" <= tv6."filing_date" + 100000 + GROUP BY tv6.cited_patent) SELECT COUNT(*) AS patents_with_exactly_one_citation FROM temp_view_7 WHERE distinct_citing_applications = 1 diff --git a/spider2/queries/snow_sf_bq210.sql b/spider2/queries/snow_sf_bq210.sql index bc45a1e1221e9f79b3ee99457a4097809050c61f..3b22feddd826e09fb32bc918a0892b16b7b0b9e7 100644 --- a/spider2/queries/snow_sf_bq210.sql +++ b/spider2/queries/snow_sf_bq210.sql @@ -1,11 +1,13 @@ SELECT COUNT(*) AS "num_patents" -FROM ( - SELECT p."publication_number" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" AS p, - LATERAL FLATTEN(input => p."claims_localized") AS cl - WHERE p."country_code" = 'US' - AND p."kind_code" = 'B2' - AND p."grant_date" BETWEEN 20080101 AND 20181231 - GROUP BY p."publication_number" - HAVING SUM(CASE WHEN REGEXP_LIKE(cl.value:"text"::string, '\\bclaim\\b', 'i') THEN 1 ELSE 0 END) = 0 -); +FROM + (SELECT p."publication_number" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" AS p, + LATERAL FLATTEN(INPUT => p."claims_localized") AS cl + WHERE p."country_code" = 'US' + AND p."kind_code" = 'B2' + AND p."grant_date" BETWEEN 20080101 AND 20181231 + GROUP BY p."publication_number" + HAVING SUM(CASE + WHEN REGEXP_LIKE(cl.value:"text"::string, '\\bclaim\\b', 'i') THEN 1 + ELSE 0 + END) = 0); diff --git a/spider2/queries/snow_sf_bq213.sql b/spider2/queries/snow_sf_bq213.sql index 623008cdde6d99b38e601526f6655cec7c883020..29c3f44b243f55b96ce02bc2205fd6956069e049 100644 --- a/spider2/queries/snow_sf_bq213.sql +++ b/spider2/queries/snow_sf_bq213.sql @@ -1,44 +1,40 @@ -WITH "filtered" AS ( - SELECT p."publication_number", p."ipc" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" p - WHERE p."country_code" = 'US' - AND p."kind_code" = 'B2' - AND p."grant_date" BETWEEN 20220601 AND 20220831 -), -"flat" AS ( - SELECT - fpub."publication_number", - SUBSTRING(f.value:"code"::string, 1, 4) AS "ipc4", - CASE WHEN f.value:"first"::boolean = TRUE THEN 1 ELSE 0 END AS "is_first" - FROM "filtered" fpub, - LATERAL FLATTEN(input => fpub."ipc") f - WHERE f.value:"code" IS NOT NULL - AND SUBSTRING(f.value:"code"::string, 1, 4) <> '' -), -"agg" AS ( - SELECT - "publication_number", - "ipc4", - COUNT(*) AS "cnt_all", - MAX("is_first") AS "has_first" - FROM "flat" - GROUP BY "publication_number", "ipc4" -), -"ranked" AS ( - SELECT - "publication_number", - "ipc4", - ROW_NUMBER() OVER ( - PARTITION BY "publication_number" - ORDER BY "has_first" DESC, "cnt_all" DESC, "ipc4" ASC - ) AS "rn" - FROM "agg" -) -SELECT - "ipc4" AS "most_common_ipc4", - COUNT(*) AS "num_publications" +WITH "filtered" AS + (SELECT p."publication_number", + p."ipc" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" p + WHERE p."country_code" = 'US' + AND p."kind_code" = 'B2' + AND p."grant_date" BETWEEN 20220601 AND 20220831), + "flat" AS + (SELECT fpub."publication_number", + SUBSTRING(f.value:"code"::string, 1, 4) AS "ipc4", + CASE + WHEN f.value:"first"::boolean = TRUE THEN 1 + ELSE 0 + END AS "is_first" + FROM "filtered" fpub, + LATERAL FLATTEN(INPUT => fpub."ipc") f + WHERE f.value:"code" IS NOT NULL + AND SUBSTRING(f.value:"code"::string, 1, 4) <> ''), + "agg" AS + (SELECT "publication_number", + "ipc4", + COUNT(*) AS "cnt_all", + MAX("is_first") AS "has_first" + FROM "flat" + GROUP BY "publication_number", + "ipc4"), + "ranked" AS + (SELECT "publication_number", + "ipc4", + ROW_NUMBER() OVER (PARTITION BY "publication_number" + ORDER BY "has_first" DESC, "cnt_all" DESC, "ipc4" ASC) AS "rn" + FROM "agg") +SELECT "ipc4" AS "most_common_ipc4", + COUNT(*) AS "num_publications" FROM "ranked" WHERE "rn" = 1 GROUP BY "ipc4" -ORDER BY "num_publications" DESC, "ipc4" ASC +ORDER BY "num_publications" DESC, + "ipc4" ASC LIMIT 1; diff --git a/spider2/queries/snow_sf_bq216.sql b/spider2/queries/snow_sf_bq216.sql index 81c8ef2c50db63e8740203217719d23f6fded887..d9d10a0a59a2b0a22db0be4606d71084c90bb416 100644 --- a/spider2/queries/snow_sf_bq216.sql +++ b/spider2/queries/snow_sf_bq216.sql @@ -1,31 +1,25 @@ -WITH target_embedding_flat AS ( - SELECT - f.index, - f.value::FLOAT AS value - FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."ABS_AND_EMB" AS t, - LATERAL FLATTEN(input => t."embedding_v1") AS f - WHERE t."publication_number" = 'US-9741766-B2' -), -candidate_patents_with_year AS ( - SELECT - p."publication_number", - e."embedding_v1" - FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS p - JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."ABS_AND_EMB" AS e ON p."publication_number" = e."publication_number" - WHERE p."filing_date" != 0 - AND EXTRACT(YEAR FROM TO_DATE(CAST(p."filing_date" AS VARCHAR), 'YYYYMMDD')) = 2016 - AND p."publication_number" != 'US-9741766-B2' -), -candidate_embeddings_flat AS ( - SELECT - c."publication_number", - f.index, - f.value::FLOAT AS value - FROM candidate_patents_with_year AS c, - LATERAL FLATTEN(input => c."embedding_v1") AS f -) -SELECT - c."publication_number" +WITH target_embedding_flat AS + (SELECT f.index, + f.value::FLOAT AS value + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."ABS_AND_EMB" AS t, + LATERAL FLATTEN(INPUT => t."embedding_v1") AS f + WHERE t."publication_number" = 'US-9741766-B2'), + candidate_patents_with_year AS + (SELECT p."publication_number", + e."embedding_v1" + FROM "PATENTS_GOOGLE"."PATENTS_GOOGLE"."PUBLICATIONS" AS p + JOIN "PATENTS_GOOGLE"."PATENTS_GOOGLE"."ABS_AND_EMB" AS e ON p."publication_number" = e."publication_number" + WHERE p."filing_date" != 0 + AND EXTRACT(YEAR + FROM TO_DATE(CAST(p."filing_date" AS VARCHAR), 'YYYYMMDD')) = 2016 + AND p."publication_number" != 'US-9741766-B2'), + candidate_embeddings_flat AS + (SELECT c."publication_number", + f.index, + f.value::FLOAT AS value + FROM candidate_patents_with_year AS c, + LATERAL FLATTEN(INPUT => c."embedding_v1") AS f) +SELECT c."publication_number" FROM candidate_embeddings_flat AS c JOIN target_embedding_flat AS t ON c.index = t.index GROUP BY c."publication_number" diff --git a/spider2/queries/snow_sf_bq219.sql b/spider2/queries/snow_sf_bq219.sql index c90aca3b6869c5bc96c925aa170000d80ce8b1f0..8724081f3a44b1f5b750bffa008ba5cd9cea1ef5 100644 --- a/spider2/queries/snow_sf_bq219.sql +++ b/spider2/queries/snow_sf_bq219.sql @@ -1,41 +1,42 @@ -WITH MonthlyCategorySales AS ( - SELECT - DATE_TRUNC('month', "date") AS sales_month, - "category_name", - SUM("volume_sold_liters") AS category_volume - FROM "IOWA_LIQUOR_SALES"."IOWA_LIQUOR_SALES"."SALES" - WHERE "date" >= '2022-01-01' AND "date" < '2024-09-01' AND "category_name" IS NOT NULL - GROUP BY 1, 2 -), -TotalMonthlySales AS ( - SELECT - sales_month, - SUM(category_volume) AS total_volume - FROM MonthlyCategorySales - GROUP BY 1 -), -MonthlyCategoryPercentage AS ( - SELECT - mcs.sales_month, - mcs."category_name", - (mcs.category_volume / tms.total_volume) AS percentage_of_volume - FROM MonthlyCategorySales mcs - JOIN TotalMonthlySales tms ON mcs.sales_month = tms.sales_month -), -EligibleCategories AS ( - SELECT - "category_name" - FROM MonthlyCategoryPercentage - GROUP BY "category_name" - HAVING COUNT(DISTINCT sales_month) >= 24 AND AVG(percentage_of_volume) >= 0.01 -) -SELECT - t1."category_name" AS category1, - t2."category_name" AS category2 +WITH MonthlyCategorySales AS + (SELECT DATE_TRUNC('month', "date") AS sales_month, + "category_name", + SUM("volume_sold_liters") AS category_volume + FROM "IOWA_LIQUOR_SALES"."IOWA_LIQUOR_SALES"."SALES" + WHERE "date" >= '2022-01-01' + AND "date" < '2024-09-01' + AND "category_name" IS NOT NULL + GROUP BY 1, + 2), + TotalMonthlySales AS + (SELECT sales_month, + SUM(category_volume) AS total_volume + FROM MonthlyCategorySales + GROUP BY 1), + MonthlyCategoryPercentage AS + (SELECT mcs.sales_month, + mcs."category_name", + (mcs.category_volume / tms.total_volume) AS percentage_of_volume + FROM MonthlyCategorySales mcs + JOIN TotalMonthlySales tms ON mcs.sales_month = tms.sales_month), + EligibleCategories AS + (SELECT "category_name" + FROM MonthlyCategoryPercentage + GROUP BY "category_name" + HAVING COUNT(DISTINCT sales_month) >= 24 + AND AVG(percentage_of_volume) >= 0.01) +SELECT t1."category_name" AS category1, + t2."category_name" AS category2 FROM MonthlyCategoryPercentage AS t1 -JOIN MonthlyCategoryPercentage AS t2 ON t1.sales_month = t2.sales_month AND t1."category_name" < t2."category_name" -WHERE t1."category_name" IN (SELECT "category_name" FROM EligibleCategories) - AND t2."category_name" IN (SELECT "category_name" FROM EligibleCategories) -GROUP BY 1, 2 +JOIN MonthlyCategoryPercentage AS t2 ON t1.sales_month = t2.sales_month +AND t1."category_name" < t2."category_name" +WHERE t1."category_name" IN + (SELECT "category_name" + FROM EligibleCategories) + AND t2."category_name" IN + (SELECT "category_name" + FROM EligibleCategories) +GROUP BY 1, + 2 ORDER BY CORR(t1.percentage_of_volume, t2.percentage_of_volume) LIMIT 1; diff --git a/spider2/queries/snow_sf_bq221.sql b/spider2/queries/snow_sf_bq221.sql index aca597774b657836711ec195e7ff88443b311129..9fa314c07b3855343d28fc891ef66d2e2c36aaf9 100644 --- a/spider2/queries/snow_sf_bq221.sql +++ b/spider2/queries/snow_sf_bq221.sql @@ -1,124 +1,103 @@ -WITH RECURSIVE -base AS ( - SELECT - p."application_number", - FLOOR(p."filing_date"/10000) AS "filing_year", - f."VALUE":"code"::string AS "cpc_code", - f."INDEX" AS "idx", - ROW_NUMBER() OVER (PARTITION BY p."application_number" ORDER BY f."INDEX") AS "rn" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, - LATERAL FLATTEN(input => p."cpc") f - WHERE p."application_number" IS NOT NULL - AND p."application_number" != '' - AND p."filing_date" IS NOT NULL - AND p."filing_date" > 0 - AND f."VALUE":"first"::boolean = true -), -pub_first AS ( - SELECT - "application_number", - "filing_year", - "cpc_code" - FROM base - WHERE "rn" = 1 -), -map_group AS ( - SELECT - pf."application_number", - pf."filing_year", - anc."symbol" AS "group_symbol", - anc."titleFull" AS "group_title" - FROM pub_first pf - JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" cd - ON cd."symbol" = pf."cpc_code" - , LATERAL FLATTEN(input => ARRAY_CAT(ARRAY_CONSTRUCT(cd."symbol"), cd."parents")) par - JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" anc - ON anc."symbol" = par."VALUE"::string - AND anc."level" = 5 -), -yearly_counts AS ( - SELECT - "group_symbol", - "group_title", - "filing_year" AS "year", - COUNT(DISTINCT "application_number") AS "filings" - FROM map_group - GROUP BY 1,2,3 -), -group_years AS ( - SELECT - yc."group_symbol", - yc."group_title", - MIN(yc."year") AS "min_year", - MAX(yc."year") AS "max_year" - FROM yearly_counts yc - GROUP BY 1,2 -), -series AS ( - SELECT - gy."group_symbol", - gy."group_title", - v."VALUE"::int AS "year" - FROM group_years gy, - LATERAL FLATTEN(input => ARRAY_GENERATE_RANGE(gy."min_year", gy."max_year" + 1)) v -), -series_counts AS ( - SELECT - s."group_symbol", - s."group_title", - s."year", - COALESCE(yc."filings", 0) AS "filings" - FROM series s - LEFT JOIN yearly_counts yc - ON yc."group_symbol" = s."group_symbol" - AND yc."year" = s."year" -), -ordered AS ( - SELECT - "group_symbol", - "group_title", - "year", - "filings", - ROW_NUMBER() OVER (PARTITION BY "group_symbol" ORDER BY "year") AS "ord" - FROM series_counts -), -r AS ( - SELECT - o."group_symbol", - o."group_title", - o."year", - o."filings", - o."filings"::float AS "ema", - o."ord" - FROM ordered o - WHERE o."ord" = 1 - UNION ALL - SELECT - o."group_symbol", - o."group_title", - o."year", - o."filings", - 0.2 * o."filings" + 0.8 * r."ema" AS "ema", - o."ord" - FROM ordered o - JOIN r - ON o."group_symbol" = r."group_symbol" - AND o."ord" = r."ord" + 1 -), -best_year AS ( - SELECT - "group_symbol", - "group_title", - "year" AS "best_year", - "ema" AS "max_ema", - ROW_NUMBER() OVER (PARTITION BY "group_symbol" ORDER BY "ema" DESC, "year" ASC) AS "rn" - FROM r -) -SELECT - "group_symbol", - "group_title", - "best_year", - "max_ema" +WITH RECURSIVE base AS + (SELECT p."application_number", + FLOOR(p."filing_date"/10000) AS "filing_year", + f."VALUE":"code"::string AS "cpc_code", + f."INDEX" AS "idx", + ROW_NUMBER() OVER (PARTITION BY p."application_number" + ORDER BY f."INDEX") AS "rn" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, + LATERAL FLATTEN(INPUT => p."cpc") f + WHERE p."application_number" IS NOT NULL + AND p."application_number" != '' + AND p."filing_date" IS NOT NULL + AND p."filing_date" > 0 + AND f."VALUE":"first"::boolean = TRUE), + pub_first AS + (SELECT "application_number", + "filing_year", + "cpc_code" + FROM base + WHERE "rn" = 1), + map_group AS + (SELECT pf."application_number", + pf."filing_year", + anc."symbol" AS "group_symbol", + anc."titleFull" AS "group_title" + FROM pub_first pf + JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" cd ON cd."symbol" = pf."cpc_code" , + LATERAL FLATTEN(INPUT => ARRAY_CAT(ARRAY_CONSTRUCT(cd."symbol"), cd."parents")) par + JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" anc ON anc."symbol" = par."VALUE"::string + AND anc."level" = 5), + yearly_counts AS + (SELECT "group_symbol", + "group_title", + "filing_year" AS "year", + COUNT(DISTINCT "application_number") AS "filings" + FROM map_group + GROUP BY 1, + 2, + 3), + group_years AS + (SELECT yc."group_symbol", + yc."group_title", + MIN(yc."year") AS "min_year", + MAX(yc."year") AS "max_year" + FROM yearly_counts yc + GROUP BY 1, + 2), + series AS + (SELECT gy."group_symbol", + gy."group_title", + v."VALUE"::int AS "year" + FROM group_years gy, + LATERAL FLATTEN(INPUT => ARRAY_GENERATE_RANGE(gy."min_year", gy."max_year" + 1)) v), + series_counts AS + (SELECT s."group_symbol", + s."group_title", + s."year", + COALESCE(yc."filings", 0) AS "filings" + FROM series s + LEFT JOIN yearly_counts yc ON yc."group_symbol" = s."group_symbol" + AND yc."year" = s."year"), + ordered AS + (SELECT "group_symbol", + "group_title", + "year", + "filings", + ROW_NUMBER() OVER (PARTITION BY "group_symbol" + ORDER BY "year") AS "ord" + FROM series_counts), + r AS + (SELECT o."group_symbol", + o."group_title", + o."year", + o."filings", + o."filings"::float AS "ema", + o."ord" + FROM ordered o + WHERE o."ord" = 1 + UNION ALL SELECT o."group_symbol", + o."group_title", + o."year", + o."filings", + 0.2 * o."filings" + 0.8 * r."ema" AS "ema", + o."ord" + FROM ordered o + JOIN r ON o."group_symbol" = r."group_symbol" + AND o."ord" = r."ord" + 1), + best_year AS + (SELECT "group_symbol", + "group_title", + "year" AS "best_year", + "ema" AS "max_ema", + ROW_NUMBER() OVER (PARTITION BY "group_symbol" + ORDER BY "ema" DESC, "year" ASC) AS "rn" + FROM r) +SELECT "group_symbol", + "group_title", + "best_year", + "max_ema" FROM best_year WHERE "rn" = 1 -ORDER BY "max_ema" DESC, "group_symbol" ASC; +ORDER BY "max_ema" DESC, + "group_symbol" ASC; diff --git a/spider2/queries/snow_sf_bq222.sql b/spider2/queries/snow_sf_bq222.sql index 114598fa6337b3c57d184d938ec51355154bd571..602f66c5c5eb3b46309871eef0eb6f05a0cd2b5e 100644 --- a/spider2/queries/snow_sf_bq222.sql +++ b/spider2/queries/snow_sf_bq222.sql @@ -1,79 +1,67 @@ -WITH december_2016_grants AS ( - SELECT DISTINCT - SUBSTRING(f.value:"code"::STRING, 1, 4) AS cpc_level4 - FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, - LATERAL FLATTEN(input => p."cpc") f - WHERE p."country_code" = 'DE' - AND p."grant_date" >= 20161201 - AND p."grant_date" <= 20161231 -), -all_german_patents AS ( - SELECT - "publication_number", - "filing_date", - FLOOR("filing_date" / 10000) AS filing_year, - f.value:"code"::STRING AS cpc_code, - SUBSTRING(cpc_code, 1, 4) AS cpc_level4 - FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, - LATERAL FLATTEN(input => p."cpc") f - WHERE p."country_code" = 'DE' - AND p."filing_date" IS NOT NULL - AND p."filing_date" > 0 - AND cpc_level4 IN (SELECT cpc_level4 FROM december_2016_grants) -), -yearly_counts AS ( - SELECT - cpc_level4, - filing_year, - COUNT(DISTINCT "publication_number") AS patent_count - FROM all_german_patents - WHERE filing_year > 0 - GROUP BY cpc_level4, filing_year -), -ordered_counts AS ( - SELECT - cpc_level4, - filing_year, - patent_count, - ROW_NUMBER() OVER (PARTITION BY cpc_level4 ORDER BY filing_year) AS year_rank - FROM yearly_counts -), -ema_calculated AS ( - SELECT - cpc_level4, - filing_year, - patent_count, - patent_count AS ema, - year_rank - FROM ordered_counts - WHERE year_rank = 1 - - UNION ALL - - SELECT - oc.cpc_level4, - oc.filing_year, - oc.patent_count, - ROUND(0.1 * oc.patent_count + 0.9 * ec.ema, 2) AS ema, - oc.year_rank - FROM ordered_counts oc - JOIN ema_calculated ec ON oc.cpc_level4 = ec.cpc_level4 AND oc.year_rank = ec.year_rank + 1 -), -max_ema_per_cpc AS ( - SELECT - cpc_level4, - filing_year, - ema, - ROW_NUMBER() OVER (PARTITION BY cpc_level4 ORDER BY ema DESC, filing_year DESC) as ema_rank - FROM ema_calculated -) -SELECT - m.cpc_level4 AS cpc_group, - cd."titleFull" AS full_title, - m.filing_year AS year, - m.ema AS highest_exponential_moving_average +WITH december_2016_grants AS + (SELECT DISTINCT SUBSTRING(f.value:"code"::STRING, 1, 4) AS cpc_level4 + FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, + LATERAL FLATTEN(INPUT => p."cpc") f + WHERE p."country_code" = 'DE' + AND p."grant_date" >= 20161201 + AND p."grant_date" <= 20161231), + all_german_patents AS + (SELECT "publication_number", + "filing_date", + FLOOR("filing_date" / 10000) AS filing_year, + f.value:"code"::STRING AS cpc_code, + SUBSTRING(cpc_code, 1, 4) AS cpc_level4 + FROM "PATENTS"."PATENTS"."PUBLICATIONS" p, + LATERAL FLATTEN(INPUT => p."cpc") f + WHERE p."country_code" = 'DE' + AND p."filing_date" IS NOT NULL + AND p."filing_date" > 0 + AND cpc_level4 IN + (SELECT cpc_level4 + FROM december_2016_grants)), + yearly_counts AS + (SELECT cpc_level4, + filing_year, + COUNT(DISTINCT "publication_number") AS patent_count + FROM all_german_patents + WHERE filing_year > 0 + GROUP BY cpc_level4, + filing_year), + ordered_counts AS + (SELECT cpc_level4, + filing_year, + patent_count, + ROW_NUMBER() OVER (PARTITION BY cpc_level4 + ORDER BY filing_year) AS year_rank + FROM yearly_counts), + ema_calculated AS + (SELECT cpc_level4, + filing_year, + patent_count, + patent_count AS ema, + year_rank + FROM ordered_counts + WHERE year_rank = 1 + UNION ALL SELECT oc.cpc_level4, + oc.filing_year, + oc.patent_count, + ROUND(0.1 * oc.patent_count + 0.9 * ec.ema, 2) AS ema, + oc.year_rank + FROM ordered_counts oc + JOIN ema_calculated ec ON oc.cpc_level4 = ec.cpc_level4 + AND oc.year_rank = ec.year_rank + 1), + max_ema_per_cpc AS + (SELECT cpc_level4, + filing_year, + ema, + ROW_NUMBER() OVER (PARTITION BY cpc_level4 + ORDER BY ema DESC, filing_year DESC) AS ema_rank + FROM ema_calculated) +SELECT m.cpc_level4 AS cpc_group, + cd."titleFull" AS full_title, + m.filing_year AS YEAR, + m.ema AS highest_exponential_moving_average FROM max_ema_per_cpc m -LEFT JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" cd - ON m.cpc_level4 = cd."symbol" +LEFT JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" cd ON m.cpc_level4 = cd."symbol" WHERE m.ema_rank = 1 ORDER BY m.ema DESC diff --git a/spider2/queries/snow_sf_bq223.sql b/spider2/queries/snow_sf_bq223.sql index 8eb19c6b3ff67e278e33056416b0d4653f44e063..ef332bc2ae4ad3b951194bdbf8173251fd35b0f9 100644 --- a/spider2/queries/snow_sf_bq223.sql +++ b/spider2/queries/snow_sf_bq223.sql @@ -10,52 +10,36 @@ High-level approach Each row now represents (citing_pub , clean_assignee_name , cpc_subclass_symbol). 4. Join to PATENTS.PATENTS.CPC_DEFINITION to obtain the full subclass title and aggregate. We count DISTINCT citing publications to avoid double-counting the same patent when it cites multiple DENSO patents. -*/ - -WITH "denso_pubs" AS ( - /* Patents assigned to DENSO (any variant in the name) with a valid filing date */ - SELECT DISTINCT "p"."publication_number" AS "denso_pub" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" "p", - LATERAL FLATTEN(input => "p"."assignee_harmonized") "ah" - WHERE "p"."filing_date" IS NOT NULL - AND UPPER("ah".value:"name"::string) LIKE '%DENSO%' -), -"citing_pubs" AS ( - /* Publications that cite any of the DENSO patents and also have a valid filing date */ - SELECT DISTINCT "cp"."publication_number" AS "citing_pub" - FROM "PATENTS"."PATENTS"."PUBLICATIONS" "cp", - LATERAL FLATTEN(input => "cp"."citation") "cite" - JOIN "denso_pubs" "d" - ON "cite".value:"publication_number"::string = "d"."denso_pub" - WHERE "cp"."filing_date" IS NOT NULL -), -"citing_infos" AS ( - /* Extract non-DENSO assignee name and first CPC subclass for each citing publication */ - SELECT DISTINCT - "cp"."citing_pub", - TRIM(LOWER("ass".value:"name"::string)) AS "assignee_name", - SUBSTR("cpc".value:"code"::string , 1 , 4) AS "cpc_subclass_symbol" - FROM "citing_pubs" "cp" - JOIN "PATENTS"."PATENTS"."PUBLICATIONS" "pub" - ON "pub"."publication_number" = "cp"."citing_pub" - , LATERAL FLATTEN(input => "pub"."assignee_harmonized") "ass" - , LATERAL FLATTEN(input => "pub"."cpc") "cpc" - WHERE "ass".value:"name" IS NOT NULL - AND LOWER("ass".value:"name"::string) NOT LIKE '%denso%' - AND "cpc".value:"first"::boolean = TRUE -) -/* Final aggregation: count distinct citing publications per (assignee , CPC subclass title) */ -SELECT - "ci"."assignee_name" AS "citing_assignee", - "cd"."titleFull" AS "cpc_subclass_title", - COUNT(DISTINCT "ci"."citing_pub") AS "citation_count" +*/ WITH "denso_pubs" AS + (/* Patents assigned to DENSO (any variant in the name) with a valid filing date */ SELECT DISTINCT "p"."publication_number" AS "denso_pub" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" "p", + LATERAL FLATTEN(INPUT => "p"."assignee_harmonized") "ah" + WHERE "p"."filing_date" IS NOT NULL + AND UPPER("ah".value:"name"::string) LIKE '%DENSO%'), + "citing_pubs" AS + (/* Publications that cite any of the DENSO patents and also have a valid filing date */ SELECT DISTINCT "cp"."publication_number" AS "citing_pub" + FROM "PATENTS"."PATENTS"."PUBLICATIONS" "cp", + LATERAL FLATTEN(INPUT => "cp"."citation") "cite" + JOIN "denso_pubs" "d" ON "cite".value:"publication_number"::string = "d"."denso_pub" + WHERE "cp"."filing_date" IS NOT NULL), + "citing_infos" AS + (/* Extract non-DENSO assignee name and first CPC subclass for each citing publication */ SELECT DISTINCT "cp"."citing_pub", + TRIM(LOWER("ass".value:"name"::string)) AS "assignee_name", + SUBSTR("cpc".value:"code"::string, 1, 4) AS "cpc_subclass_symbol" + FROM "citing_pubs" "cp" + JOIN "PATENTS"."PATENTS"."PUBLICATIONS" "pub" ON "pub"."publication_number" = "cp"."citing_pub" , + LATERAL FLATTEN(INPUT => "pub"."assignee_harmonized") "ass" , + LATERAL FLATTEN(INPUT => "pub"."cpc") "cpc" + WHERE "ass".value:"name" IS NOT NULL + AND LOWER("ass".value:"name"::string) NOT LIKE '%denso%' + AND "cpc".value:"first"::boolean = TRUE) /* Final aggregation: count distinct citing publications per (assignee , CPC subclass title) */ +SELECT "ci"."assignee_name" AS "citing_assignee", + "cd"."titleFull" AS "cpc_subclass_title", + COUNT(DISTINCT "ci"."citing_pub") AS "citation_count" FROM "citing_infos" "ci" - JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" "cd" - ON "cd"."symbol" = "ci"."cpc_subclass_symbol" -GROUP BY - "ci"."assignee_name", - "cd"."titleFull" -ORDER BY - "citation_count" DESC, - "citing_assignee", - "cpc_subclass_title"; +JOIN "PATENTS"."PATENTS"."CPC_DEFINITION" "cd" ON "cd"."symbol" = "ci"."cpc_subclass_symbol" +GROUP BY "ci"."assignee_name", + "cd"."titleFull" +ORDER BY "citation_count" DESC, + "citing_assignee", + "cpc_subclass_title"; diff --git a/spider2/queries/snow_sf_bq224.sql b/spider2/queries/snow_sf_bq224.sql index a4c891f1206e65426c4633ffadd0b03cb2c0454a..950d93963141b942448edda22f83e9d1741ed541 100644 --- a/spider2/queries/snow_sf_bq224.sql +++ b/spider2/queries/snow_sf_bq224.sql @@ -1 +1,34 @@ -WITH approved_repos AS ( SELECT DISTINCT T1."repo_name" FROM GITHUB_REPOS_DATE.GITHUB_REPOS.LICENSES T1 JOIN GITHUB_REPOS_DATE.GITHUB_REPOS.LICENSES T2 ON LOWER(T1."license") = LOWER(T2."license") ), events_agg AS ( SELECT TRY_PARSE_JSON(E."repo"):"name"::STRING AS repo_name, SUM(CASE WHEN E."type" = 'ForkEvent' THEN 1 ELSE 0 END) AS fork_events, SUM(CASE WHEN E."type" = 'IssuesEvent' THEN 1 ELSE 0 END) AS issues_events, SUM(CASE WHEN E."type" = 'WatchEvent' THEN 1 ELSE 0 END) AS watch_events FROM GITHUB_REPOS_DATE.MONTH._202204 E WHERE TO_TIMESTAMP(E."created_at" / 1000000) >= '2022-04-01' AND TO_TIMESTAMP(E."created_at" / 1000000) < '2022-05-01' AND E."type" IN ('ForkEvent','IssuesEvent','WatchEvent') GROUP BY TRY_PARSE_JSON(E."repo"):"name"::STRING ), totals AS ( SELECT repo_name, fork_events + issues_events + watch_events AS total_events FROM events_agg ) SELECT T.repo_name FROM totals T JOIN approved_repos A ON T.repo_name = A."repo_name" ORDER BY T.total_events DESC LIMIT 1; +WITH approved_repos AS + (SELECT DISTINCT T1."repo_name" + FROM GITHUB_REPOS_DATE.GITHUB_REPOS.LICENSES T1 + JOIN GITHUB_REPOS_DATE.GITHUB_REPOS.LICENSES T2 ON LOWER(T1."license") = LOWER(T2."license")), + events_agg AS + (SELECT TRY_PARSE_JSON(E."repo"):"name"::STRING AS repo_name, + SUM(CASE + WHEN E."type" = 'ForkEvent' THEN 1 + ELSE 0 + END) AS fork_events, + SUM(CASE + WHEN E."type" = 'IssuesEvent' THEN 1 + ELSE 0 + END) AS issues_events, + SUM(CASE + WHEN E."type" = 'WatchEvent' THEN 1 + ELSE 0 + END) AS watch_events + FROM GITHUB_REPOS_DATE.MONTH._202204 E + WHERE TO_TIMESTAMP(E."created_at" / 1000000) >= '2022-04-01' + AND TO_TIMESTAMP(E."created_at" / 1000000) < '2022-05-01' + AND E."type" IN ('ForkEvent', + 'IssuesEvent', + 'WatchEvent') + GROUP BY TRY_PARSE_JSON(E."repo"):"name"::STRING), + totals AS + (SELECT repo_name, + fork_events + issues_events + watch_events AS total_events + FROM events_agg) +SELECT T.repo_name +FROM totals T +JOIN approved_repos A ON T.repo_name = A."repo_name" +ORDER BY T.total_events DESC +LIMIT 1; diff --git a/spider2/queries/snow_sf_bq233.sql b/spider2/queries/snow_sf_bq233.sql index 930e0c650822373c9e3b9b8df03a702059efd475..c006bce3cb2e67ff3d8857e5e1bd854363a7a1bb 100644 --- a/spider2/queries/snow_sf_bq233.sql +++ b/spider2/queries/snow_sf_bq233.sql @@ -1,82 +1,70 @@ -WITH python_files AS ( - SELECT - sf."path", - sc."content", - 'Python' as language - FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_FILES sf - JOIN GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS sc ON sf."id" = sc."id" - WHERE sc."binary" = FALSE - AND sf."path" ILIKE '%.py' -), -python_import_lines AS ( - SELECT - language, - "path", - TRIM(line.value) as line_content - FROM python_files, - LATERAL SPLIT_TO_TABLE("content", '\n') line - WHERE TRIM(line.value) LIKE 'import %' - OR TRIM(line.value) LIKE 'from %import%' -), -parsed_python_imports AS ( - SELECT - language, - CASE - -- Handle "import module" statements - extract first module name - WHEN line_content LIKE 'import %' AND line_content NOT LIKE 'from %' THEN - TRIM(SPLIT_PART(SPLIT_PART(line_content, 'import ', 2), ',', 1)) - -- Handle "from module import ..." statements - extract the main module - WHEN line_content LIKE 'from %import%' THEN - TRIM(SPLIT_PART(SPLIT_PART(line_content, 'from ', 2), ' import', 1)) - ELSE NULL - END as full_module_name - FROM python_import_lines - WHERE line_content IS NOT NULL AND line_content != '' -), -python_base_modules AS ( - SELECT - language, - -- Extract the base module name (first part before dot) - SPLIT_PART(full_module_name, '.', 1) as module_name - FROM parsed_python_imports - WHERE full_module_name IS NOT NULL AND full_module_name != '' -), -python_results AS ( - SELECT - language, - module_name, - COUNT(*) as occurrence_count - FROM python_base_modules - WHERE module_name IS NOT NULL AND module_name != '' - GROUP BY language, module_name -), -r_files AS ( - SELECT - "sample_path" as r_path, - "content", - 'R' as language - FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS - WHERE "binary" = FALSE - AND ("sample_path" ILIKE '%.r' OR "sample_path" ILIKE '%.R' OR "sample_path" ILIKE '%.Rmd') -), -r_import_lines AS ( - SELECT - language, - r_path, - TRIM(line.value) as line_content - FROM r_files, - LATERAL SPLIT_TO_TABLE("content", '\n') line - WHERE TRIM(line.value) LIKE 'library(%' - OR TRIM(line.value) LIKE 'require(%' -), -parsed_r_imports AS ( - SELECT - language, - CASE - -- Handle library() statements - WHEN line_content LIKE 'library(%' THEN - TRIM(REPLACE(REPLACE(SPLIT_PART(SPLIT_PART(line_content, 'library(', 2), ')', 1), '"', ''), '\\', '')) - -- Handle require() statements +WITH python_files AS + (SELECT sf."path", + sc."content", + 'Python' AS LANGUAGE + FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_FILES sf + JOIN GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS sc ON sf."id" = sc."id" + WHERE sc."binary" = FALSE + AND sf."path" ILIKE '%.py'), + python_import_lines AS + (SELECT LANGUAGE, + "path", + TRIM(line.value) AS line_content + FROM python_files, + LATERAL SPLIT_TO_TABLE("content", '\n') LINE + WHERE TRIM(line.value) LIKE 'import %' + OR TRIM(line.value) LIKE 'from %import%'), + parsed_python_imports AS + (SELECT LANGUAGE, + CASE -- Handle "import module" statements - extract first module name + + WHEN line_content LIKE 'import %' + AND line_content NOT LIKE 'from %' THEN TRIM(SPLIT_PART(SPLIT_PART(line_content, 'import ', 2), ',', 1)) -- Handle "from module import ..." statements - extract the main module + + WHEN line_content LIKE 'from %import%' THEN TRIM(SPLIT_PART(SPLIT_PART(line_content, 'from ', 2), ' import', 1)) + ELSE NULL + END AS full_module_name + FROM python_import_lines + WHERE line_content IS NOT NULL + AND line_content != ''), + python_base_modules AS + (SELECT LANGUAGE, -- Extract the base module name (first part before dot) + SPLIT_PART(full_module_name, '.', 1) AS module_name + FROM parsed_python_imports + WHERE full_module_name IS NOT NULL + AND full_module_name != ''), + python_results AS + (SELECT LANGUAGE, + module_name, + COUNT(*) AS occurrence_count + FROM python_base_modules + WHERE module_name IS NOT NULL + AND module_name != '' + GROUP BY LANGUAGE, + module_name), + r_files AS + (SELECT "sample_path" AS r_path, + "content", + 'R' AS LANGUAGE + FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_CONTENTS + WHERE "binary" = FALSE + AND ("sample_path" ILIKE '%.r' + OR "sample_path" ILIKE '%.R' + OR "sample_path" ILIKE '%.Rmd')), + r_import_lines AS + (SELECT LANGUAGE, + r_path, + TRIM(line.value) AS line_content + FROM r_files, + LATERAL SPLIT_TO_TABLE("content", '\n') LINE + WHERE TRIM(line.value) LIKE 'library(%' + OR TRIM(line.value) LIKE 'require(%'), + parsed_r_imports AS ( +SELECT LANGUAGE, + CASE -- Handle library() statements + WHEN line_content LIKE 'library(%' THEN TRIM(REPLACE(REPLACE(SPLIT_PART(SPLIT_PART(line_content, 'library(', 2), ')', 1), '"', ''), + '\\', '')) + -- Handle require() statements WHEN line_content LIKE 'require(%' THEN TRIM(REPLACE(REPLACE(SPLIT_PART(SPLIT_PART(line_content, 'require(', 2), ')', 1), '"', ''), '\\', '')) ELSE NULL @@ -85,22 +73,26 @@ parsed_r_imports AS ( WHERE line_content IS NOT NULL AND line_content != '' ), r_results AS ( - SELECT + SELECT language, library_name as module_name, COUNT(*) as occurrence_count FROM parsed_r_imports WHERE library_name IS NOT NULL AND library_name != '' - GROUP BY language, library_name -), -combined_results AS ( - SELECT language, module_name, occurrence_count FROM python_results - UNION ALL - SELECT language, module_name, occurrence_count FROM r_results -) -SELECT - language, - module_name, - occurrence_count + GROUP BY LANGUAGE, library_name), + combined_results AS + (SELECT LANGUAGE, + module_name, + occurrence_count + FROM python_results + UNION ALL SELECT LANGUAGE, + module_name, + occurrence_count + FROM r_results) +SELECT LANGUAGE, + module_name, + occurrence_count FROM combined_results -ORDER BY language, occurrence_count DESC, module_name +ORDER BY LANGUAGE, + occurrence_count DESC, + module_name diff --git a/spider2/queries/snow_sf_bq236.sql b/spider2/queries/snow_sf_bq236.sql index 2b3df2a622bed72d6a1ac1846b655140a55fd868..3f28d95bc9c84c27a991518b7241fb9e168b4986 100644 --- a/spider2/queries/snow_sf_bq236.sql +++ b/spider2/queries/snow_sf_bq236.sql @@ -1,67 +1,97 @@ -WITH threshold AS ( - SELECT DATEADD(year, -10, CURRENT_DATE()) AS min_event_date -), -hail_events AS ( - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000) AS event_ts, - "event_latitude" AS event_lat, - "event_longitude" AS event_lon - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2014" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2015" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2016" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2017" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2018" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2019" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2020" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2021" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2022" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2023" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL - UNION ALL - SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), "event_latitude", "event_longitude" - FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2024" - WHERE UPPER("event_type") = 'HAIL' AND "event_latitude" IS NOT NULL AND "event_longitude" IS NOT NULL -), -recent_hail AS ( - SELECT e.event_ts, e.event_lat, e.event_lon - FROM hail_events e - JOIN threshold t ON e.event_ts >= t.min_event_date -), -hail_with_zip AS ( - SELECT z."zip_code", - COUNT(*) AS hail_event_count - FROM recent_hail r - JOIN "NOAA_DATA_PLUS"."GEO_US_BOUNDARIES"."ZIP_CODES" z - ON ST_WITHIN(ST_POINT(r.event_lon, r.event_lat), TO_GEOGRAPHY(z."zip_code_geom")) - GROUP BY z."zip_code" -) -SELECT "zip_code", hail_event_count +WITH threshold AS + (SELECT DATEADD(YEAR, -10, CURRENT_DATE()) AS min_event_date), + hail_events AS + (SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000) AS event_ts, + "event_latitude" AS event_lat, + "event_longitude" AS event_lon + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2014" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2015" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2016" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2017" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2018" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2019" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2020" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2021" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2022" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2023" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL + UNION ALL SELECT TO_TIMESTAMP_NTZ("event_begin_time" / 1000000), + "event_latitude", + "event_longitude" + FROM "NOAA_DATA_PLUS"."NOAA_HISTORIC_SEVERE_STORMS"."STORMS_2024" + WHERE UPPER("event_type") = 'HAIL' + AND "event_latitude" IS NOT NULL + AND "event_longitude" IS NOT NULL), + recent_hail AS + (SELECT e.event_ts, + e.event_lat, + e.event_lon + FROM hail_events e + JOIN threshold t ON e.event_ts >= t.min_event_date), + hail_with_zip AS + (SELECT z."zip_code", + COUNT(*) AS hail_event_count + FROM recent_hail r + JOIN "NOAA_DATA_PLUS"."GEO_US_BOUNDARIES"."ZIP_CODES" z ON ST_WITHIN(ST_POINT(r.event_lon, r.event_lat), TO_GEOGRAPHY(z."zip_code_geom")) + GROUP BY z."zip_code") +SELECT "zip_code", + hail_event_count FROM hail_with_zip -ORDER BY hail_event_count DESC, "zip_code" -FETCH FIRST 5 ROWS ONLY; +ORDER BY hail_event_count DESC, + "zip_code" FETCH FIRST 5 ROWS ONLY; diff --git a/spider2/queries/snow_sf_bq246.sql b/spider2/queries/snow_sf_bq246.sql index c3879cc8cf97781c4979a5469b766dc9f4530fac..62b049a8458f4696bc3fc62cca8820f649e7871e 100644 --- a/spider2/queries/snow_sf_bq246.sql +++ b/spider2/queries/snow_sf_bq246.sql @@ -1,77 +1,55 @@ -WITH "cte_app" AS ( - SELECT - a."patent_id", - MIN(TRY_TO_DATE(a."date")) AS "app_date" - FROM "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" a - WHERE TRY_TO_DATE(a."date") IS NOT NULL - GROUP BY a."patent_id" -), -"base" AS ( - SELECT DISTINCT - p."id" AS "patent_id", - p."number" AS "patent_number", - ca."app_date" AS "application_date" - FROM "PATENTSVIEW"."PATENTSVIEW"."PATENT" p - JOIN "cte_app" ca - ON ca."patent_id" = p."id" - JOIN "PATENTSVIEW"."PATENTSVIEW"."CPC_CURRENT" cpc - ON cpc."patent_id" = p."id" - WHERE p."country" = 'US' - AND cpc."category" = 'inventional' -), -"back_1y" AS ( - SELECT - b."patent_id", - COUNT(DISTINCT b."citation_id") AS "back_1y_count" - FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" b - JOIN "base" ba - ON ba."patent_id" = b."patent_id" - JOIN "cte_app" app_cited - ON app_cited."patent_id" = b."citation_id" - WHERE app_cited."app_date" >= DATEADD(year, -1, ba."application_date") - AND app_cited."app_date" < ba."application_date" - GROUP BY b."patent_id" -), -"fwd_1y" AS ( - SELECT - f."citation_id" AS "patent_id", - COUNT(DISTINCT f."patent_id") AS "fwd_1y_count" - FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" f - JOIN "base" ba - ON ba."patent_id" = f."citation_id" - JOIN "cte_app" app_citing - ON app_citing."patent_id" = f."patent_id" - WHERE app_citing."app_date" >= ba."application_date" - AND app_citing."app_date" <= DATEADD(year, 1, ba."application_date") - GROUP BY f."citation_id" -), -"fwd_3y" AS ( - SELECT - f."citation_id" AS "patent_id", - COUNT(DISTINCT f."patent_id") AS "fwd_3y_count" - FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" f - JOIN "base" ba - ON ba."patent_id" = f."citation_id" - JOIN "cte_app" app_citing - ON app_citing."patent_id" = f."patent_id" - WHERE app_citing."app_date" >= ba."application_date" - AND app_citing."app_date" <= DATEADD(year, 3, ba."application_date") - GROUP BY f."citation_id" -) -SELECT - b."patent_id", - b."patent_number", - b."application_date", - COALESCE(bk."back_1y_count", 0) AS "backward_citations_within_1y_before_app", - COALESCE(f1."fwd_1y_count", 0) AS "forward_citations_within_1y_after_app", - COALESCE(f3."fwd_3y_count", 0) AS "forward_citations_within_3y_after_app" +WITH "cte_app" AS + (SELECT a."patent_id", + MIN(TRY_TO_DATE(a."date")) AS "app_date" + FROM "PATENTSVIEW"."PATENTSVIEW"."APPLICATION" a + WHERE TRY_TO_DATE(a."date") IS NOT NULL + GROUP BY a."patent_id"), + "base" AS + (SELECT DISTINCT p."id" AS "patent_id", + p."number" AS "patent_number", + ca."app_date" AS "application_date" + FROM "PATENTSVIEW"."PATENTSVIEW"."PATENT" p + JOIN "cte_app" ca ON ca."patent_id" = p."id" + JOIN "PATENTSVIEW"."PATENTSVIEW"."CPC_CURRENT" cpc ON cpc."patent_id" = p."id" + WHERE p."country" = 'US' + AND cpc."category" = 'inventional'), + "back_1y" AS + (SELECT b."patent_id", + COUNT(DISTINCT b."citation_id") AS "back_1y_count" + FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" b + JOIN "base" ba ON ba."patent_id" = b."patent_id" + JOIN "cte_app" app_cited ON app_cited."patent_id" = b."citation_id" + WHERE app_cited."app_date" >= DATEADD(YEAR, -1, ba."application_date") + AND app_cited."app_date" < ba."application_date" + GROUP BY b."patent_id"), + "fwd_1y" AS + (SELECT f."citation_id" AS "patent_id", + COUNT(DISTINCT f."patent_id") AS "fwd_1y_count" + FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" f + JOIN "base" ba ON ba."patent_id" = f."citation_id" + JOIN "cte_app" app_citing ON app_citing."patent_id" = f."patent_id" + WHERE app_citing."app_date" >= ba."application_date" + AND app_citing."app_date" <= DATEADD(YEAR, 1, ba."application_date") + GROUP BY f."citation_id"), + "fwd_3y" AS + (SELECT f."citation_id" AS "patent_id", + COUNT(DISTINCT f."patent_id") AS "fwd_3y_count" + FROM "PATENTSVIEW"."PATENTSVIEW"."USPATENTCITATION" f + JOIN "base" ba ON ba."patent_id" = f."citation_id" + JOIN "cte_app" app_citing ON app_citing."patent_id" = f."patent_id" + WHERE app_citing."app_date" >= ba."application_date" + AND app_citing."app_date" <= DATEADD(YEAR, 3, ba."application_date") + GROUP BY f."citation_id") +SELECT b."patent_id", + b."patent_number", + b."application_date", + COALESCE(bk."back_1y_count", 0) AS "backward_citations_within_1y_before_app", + COALESCE(f1."fwd_1y_count", 0) AS "forward_citations_within_1y_after_app", + COALESCE(f3."fwd_3y_count", 0) AS "forward_citations_within_3y_after_app" FROM "base" b -LEFT JOIN "back_1y" bk - ON bk."patent_id" = b."patent_id" -LEFT JOIN "fwd_1y" f1 - ON f1."patent_id" = b."patent_id" -LEFT JOIN "fwd_3y" f3 - ON f3."patent_id" = b."patent_id" +LEFT JOIN "back_1y" bk ON bk."patent_id" = b."patent_id" +LEFT JOIN "fwd_1y" f1 ON f1."patent_id" = b."patent_id" +LEFT JOIN "fwd_3y" f3 ON f3."patent_id" = b."patent_id" WHERE COALESCE(bk."back_1y_count", 0) > 0 AND COALESCE(f1."fwd_1y_count", 0) > 0 ORDER BY bk."back_1y_count" DESC diff --git a/spider2/queries/snow_sf_bq248.sql b/spider2/queries/snow_sf_bq248.sql index 2b6dcb43d830ca705f5d4083c659162c747f84b1..cc470577bc6d7f0329ef9d12fb137c6e2a86a55b 100644 --- a/spider2/queries/snow_sf_bq248.sql +++ b/spider2/queries/snow_sf_bq248.sql @@ -4,18 +4,12 @@ -- To detect such repositories, FLATTEN the VARIANT array "language" and look at the "name" field. -- 3) Compute the proportion = (# files with the phrase) / (total # README.md files) as a floating value. -SELECT - /* numerator: files whose content contains the phrase */ - COUNT_IF(LOWER(sc."content") LIKE '%copyright (c)%')::DOUBLE - / - /* denominator: total README.md files in non-Python repos */ - NULLIF(COUNT(*), 0) AS "proportion" +SELECT /* numerator: files whose content contains the phrase */ COUNT_IF(LOWER(sc."content") LIKE '%copyright (c)%')::DOUBLE / /* denominator: total README.md files in non-Python repos */ NULLIF(COUNT(*), 0) AS "proportion" FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_CONTENTS" sc WHERE LOWER(sc."sample_path") LIKE '%readme.md%' - AND NOT EXISTS ( - SELECT 1 - FROM "GITHUB_REPOS"."GITHUB_REPOS"."LANGUAGES" l, - LATERAL FLATTEN(input => l."language") f - WHERE l."repo_name" = sc."sample_repo_name" - AND LOWER(f.value:"name"::string) LIKE '%python%' - ); + AND NOT EXISTS + (SELECT 1 + FROM "GITHUB_REPOS"."GITHUB_REPOS"."LANGUAGES" l, + LATERAL FLATTEN(INPUT => l."language") f + WHERE l."repo_name" = sc."sample_repo_name" + AND LOWER(f.value:"name"::string) LIKE '%python%'); diff --git a/spider2/queries/snow_sf_bq250.sql b/spider2/queries/snow_sf_bq250.sql index 0a1631aec1fd3f497d95a1552c41b96bc6159678..303c80a34fedd33df4d7dc26e8259427305ac1ce 100644 --- a/spider2/queries/snow_sf_bq250.sql +++ b/spider2/queries/snow_sf_bq250.sql @@ -1 +1,48 @@ -WITH singapore_hospitals AS (SELECT pl."osm_id", CASE WHEN pl."gdal_type" = 'points' THEN ST_GEOGFROMWKB(pl."geometry") ELSE ST_CENTROID(ST_GEOGFROMWKB(pl."geometry")) END as hospital_point FROM GEO_OPENSTREETMAP_WORLDPOP.GEO_OPENSTREETMAP.PLANET_LAYERS pl WHERE pl."layer_class" = 'poi_health' AND pl."layer_name" = 'hospital' AND pl."geometry" IS NOT NULL AND ST_X(CASE WHEN pl."gdal_type" = 'points' THEN ST_GEOGFROMWKB(pl."geometry") ELSE ST_CENTROID(ST_GEOGFROMWKB(pl."geometry")) END) BETWEEN 103.64 AND 103.99 AND ST_Y(CASE WHEN pl."gdal_type" = 'points' THEN ST_GEOGFROMWKB(pl."geometry") ELSE ST_CENTROID(ST_GEOGFROMWKB(pl."geometry")) END) BETWEEN 1.27 AND 1.45), singapore_population_grids AS (SELECT "geo_id", "population", "latitude_centroid", "longitude_centroid", ST_GEOGFROMWKB("geog") as grid_point FROM GEO_OPENSTREETMAP_WORLDPOP.WORLDPOP.POPULATION_GRID_1KM WHERE "alpha_3_code" = 'SGP' AND "last_updated" = '2020-01-01' AND "population" > 0), grid_distances AS (SELECT spg."geo_id", spg."population", MIN(ST_DISTANCE(spg.grid_point, sh.hospital_point)) as min_distance_to_hospital FROM singapore_population_grids spg CROSS JOIN singapore_hospitals sh GROUP BY spg."geo_id", spg."population"), max_distance AS (SELECT MAX(min_distance_to_hospital) as maximum_distance FROM grid_distances), farthest_grid AS (SELECT gd."geo_id", gd."population", gd.min_distance_to_hospital FROM grid_distances gd, max_distance md WHERE gd.min_distance_to_hospital = md.maximum_distance) SELECT SUM("population") as total_population FROM farthest_grid +WITH singapore_hospitals AS + (SELECT pl."osm_id", + CASE + WHEN pl."gdal_type" = 'points' THEN ST_GEOGFROMWKB(pl."geometry") + ELSE ST_CENTROID(ST_GEOGFROMWKB(pl."geometry")) + END AS hospital_point + FROM GEO_OPENSTREETMAP_WORLDPOP.GEO_OPENSTREETMAP.PLANET_LAYERS pl + WHERE pl."layer_class" = 'poi_health' + AND pl."layer_name" = 'hospital' + AND pl."geometry" IS NOT NULL + AND ST_X(CASE + WHEN pl."gdal_type" = 'points' THEN ST_GEOGFROMWKB(pl."geometry") + ELSE ST_CENTROID(ST_GEOGFROMWKB(pl."geometry")) + END) BETWEEN 103.64 AND 103.99 + AND ST_Y(CASE + WHEN pl."gdal_type" = 'points' THEN ST_GEOGFROMWKB(pl."geometry") + ELSE ST_CENTROID(ST_GEOGFROMWKB(pl."geometry")) + END) BETWEEN 1.27 AND 1.45), + singapore_population_grids AS + (SELECT "geo_id", + "population", + "latitude_centroid", + "longitude_centroid", + ST_GEOGFROMWKB("geog") AS grid_point + FROM GEO_OPENSTREETMAP_WORLDPOP.WORLDPOP.POPULATION_GRID_1KM + WHERE "alpha_3_code" = 'SGP' + AND "last_updated" = '2020-01-01' + AND "population" > 0), + grid_distances AS + (SELECT spg."geo_id", + spg."population", + MIN(ST_DISTANCE(spg.grid_point, sh.hospital_point)) AS min_distance_to_hospital + FROM singapore_population_grids spg + CROSS JOIN singapore_hospitals sh + GROUP BY spg."geo_id", + spg."population"), + max_distance AS + (SELECT MAX(min_distance_to_hospital) AS maximum_distance + FROM grid_distances), + farthest_grid AS + (SELECT gd."geo_id", + gd."population", + gd.min_distance_to_hospital + FROM grid_distances gd, + max_distance md + WHERE gd.min_distance_to_hospital = md.maximum_distance) +SELECT SUM("population") AS total_population +FROM farthest_grid diff --git a/spider2/queries/snow_sf_bq252.sql b/spider2/queries/snow_sf_bq252.sql index 2bb1d4fb8ae3534153ac38a58b820a76b9608112..0f30d870009fbdfe39b793d6b6038a681c10a5f8 100644 --- a/spider2/queries/snow_sf_bq252.sql +++ b/spider2/queries/snow_sf_bq252.sql @@ -1,7 +1,7 @@ SELECT f."repo_name" AS repository_name FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_CONTENTS" c -JOIN "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_FILES" f -ON c."id" = f."id" -WHERE c."sample_path" ILIKE '%.swift' AND c."binary" = FALSE +JOIN "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_FILES" f ON c."id" = f."id" +WHERE c."sample_path" ILIKE '%.swift' + AND c."binary" = FALSE ORDER BY c."copies" DESC NULLS LAST LIMIT 1; diff --git a/spider2/queries/snow_sf_bq254.sql b/spider2/queries/snow_sf_bq254.sql index c8f7788c52738a136507c08f636a2580f53f7156..6599cedeb76303c0552d945dfa7a4622cabaf24a 100644 --- a/spider2/queries/snow_sf_bq254.sql +++ b/spider2/queries/snow_sf_bq254.sql @@ -16,52 +16,49 @@ Assumptions & reasoning (see guidelines comments requirement): gives the per-polygon contained-point count. 6. We order by descending point count and return the top two with their names (may be NULL if no name tag exists). -*/ -WITH target_estonia AS ( - /* geometry of the multipolygon tagged wikidata = Q191 (Estonia) */ - SELECT TO_GEOGRAPHY(pf."geometry") AS geom - FROM "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES" pf - ,LATERAL FLATTEN(input => pf."all_tags") tag - WHERE pf."feature_type" = 'multipolygons' - AND tag.value:"key"::string = 'wikidata' - AND tag.value:"value"::string = 'Q191' - LIMIT 1 -), candidate_raw AS ( - /* multipolygons without a wikidata tag, having geometry, intersecting Estonia */ - SELECT COALESCE(pf."osm_way_id", pf."osm_id") AS id, - pf."geometry" AS geom_bin, - pf."all_tags" AS tags - FROM "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES" pf - CROSS JOIN target_estonia t - WHERE pf."feature_type" = 'multipolygons' - AND pf."geometry" IS NOT NULL - AND LOWER(TO_VARCHAR(pf."all_tags")) NOT ILIKE '%"wikidata"%' - AND ST_INTERSECTS(TO_GEOGRAPHY(pf."geometry"), t.geom) -), name_tags AS ( - /* extract (optional) name tag for every candidate */ - SELECT cr.id, - MAX(tag.value:"value"::string) AS name_tag - FROM candidate_raw cr, - LATERAL FLATTEN(input => cr.tags) tag - WHERE tag.value:"key"::string = 'name' - GROUP BY cr.id -), geom_candidates AS ( - SELECT id, TO_GEOGRAPHY(geom_bin) AS geom - FROM candidate_raw -), point_counts AS ( - SELECT gc.id AS multipolygon_id, - nt.name_tag AS name, - COUNT(*) AS point_cnt - FROM geom_candidates gc - LEFT JOIN name_tags nt ON nt.id = gc.id - JOIN "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES_POINTS" p - ON p."geometry" IS NOT NULL - AND ST_CONTAINS(gc.geom, TO_GEOGRAPHY(p."geometry")) - GROUP BY gc.id, nt.name_tag -) -SELECT multipolygon_id AS id, - name, - point_cnt -FROM point_counts -ORDER BY point_cnt DESC, name +*/ WITH target_estonia AS + (/* geometry of the multipolygon tagged wikidata = Q191 (Estonia) */ SELECT TO_GEOGRAPHY(pf."geometry") AS geom + FROM "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES" pf , + LATERAL FLATTEN(INPUT => pf."all_tags") tag + WHERE pf."feature_type" = 'multipolygons' + AND tag.value:"key"::string = 'wikidata' + AND tag.value:"value"::string = 'Q191' + LIMIT 1), + candidate_raw AS + (/* multipolygons without a wikidata tag, having geometry, intersecting Estonia */ SELECT COALESCE(pf."osm_way_id", pf."osm_id") AS id, + pf."geometry" AS geom_bin, + pf."all_tags" AS tags + FROM "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES" pf + CROSS JOIN target_estonia t + WHERE pf."feature_type" = 'multipolygons' + AND pf."geometry" IS NOT NULL + AND LOWER(TO_VARCHAR(pf."all_tags")) NOT ILIKE '%"wikidata"%' + AND ST_INTERSECTS(TO_GEOGRAPHY(pf."geometry"), t.geom)), + name_tags AS + (/* extract (optional) name tag for every candidate */ SELECT cr.id, + MAX(tag.value:"value"::string) AS name_tag + FROM candidate_raw cr, + LATERAL FLATTEN(INPUT => cr.tags) tag + WHERE tag.value:"key"::string = 'name' + GROUP BY cr.id), + geom_candidates AS + (SELECT id, + TO_GEOGRAPHY(geom_bin) AS geom + FROM candidate_raw), + point_counts AS + (SELECT gc.id AS multipolygon_id, + nt.name_tag AS name, + COUNT(*) AS point_cnt + FROM geom_candidates gc + LEFT JOIN name_tags nt ON nt.id = gc.id + JOIN "GEO_OPENSTREETMAP"."GEO_OPENSTREETMAP"."PLANET_FEATURES_POINTS" p ON p."geometry" IS NOT NULL + AND ST_CONTAINS(gc.geom, TO_GEOGRAPHY(p."geometry")) + GROUP BY gc.id, + nt.name_tag) +SELECT multipolygon_id AS id, + name, + point_cnt +FROM point_counts +ORDER BY point_cnt DESC, + name LIMIT 2; diff --git a/spider2/queries/snow_sf_bq255.sql b/spider2/queries/snow_sf_bq255.sql index bda74d4d694258802746a536caa1c0a72ad59dab..00938b7d12003635c37a855f09505eda3f34df42 100644 --- a/spider2/queries/snow_sf_bq255.sql +++ b/spider2/queries/snow_sf_bq255.sql @@ -1,19 +1,14 @@ -SELECT - COUNT(*) AS "commit_count" +SELECT COUNT(*) AS "commit_count" FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_COMMITS" AS "sc" -INNER JOIN ( - SELECT DISTINCT "l"."repo_name" - FROM "GITHUB_REPOS"."GITHUB_REPOS"."LANGUAGES" AS "l", - LATERAL FLATTEN(INPUT => "l"."language") AS "lang" - WHERE LOWER("lang"."VALUE":"name"::STRING) = 'shell' -) AS "shell_repos" - ON "sc"."repo_name" = "shell_repos"."repo_name" -INNER JOIN ( - SELECT DISTINCT "repo_name" - FROM "GITHUB_REPOS"."GITHUB_REPOS"."LICENSES" - WHERE LOWER("license") = 'apache-2.0' -) AS "licensed_repos" - ON "sc"."repo_name" = "licensed_repos"."repo_name" +INNER JOIN + (SELECT DISTINCT "l"."repo_name" + FROM "GITHUB_REPOS"."GITHUB_REPOS"."LANGUAGES" AS "l", + LATERAL FLATTEN(INPUT => "l"."language") AS "lang" + WHERE LOWER("lang"."VALUE":"name"::STRING) = 'shell') AS "shell_repos" ON "sc"."repo_name" = "shell_repos"."repo_name" +INNER JOIN + (SELECT DISTINCT "repo_name" + FROM "GITHUB_REPOS"."GITHUB_REPOS"."LICENSES" + WHERE LOWER("license") = 'apache-2.0') AS "licensed_repos" ON "sc"."repo_name" = "licensed_repos"."repo_name" WHERE "sc"."message" IS NOT NULL AND LENGTH("sc"."message") > 5 AND LENGTH("sc"."message") < 10000 diff --git a/spider2/queries/snow_sf_bq260.sql b/spider2/queries/snow_sf_bq260.sql index cf7d3f66c1f7c82b27e113739d3fd6fe30631e7d..0a7c1a669a01f7bb24b5c7a4830e8b1c9ac24770 100644 --- a/spider2/queries/snow_sf_bq260.sql +++ b/spider2/queries/snow_sf_bq260.sql @@ -1,27 +1,24 @@ -WITH FilteredUsers AS ( - SELECT - "gender", - "age" - FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" - WHERE - TO_TIMESTAMP_NTZ("created_at" / 1000000) >= '2019-01-01' AND TO_TIMESTAMP_NTZ("created_at" / 1000000) < '2022-05-01' -), AgeBounds AS ( - SELECT - "gender", - MIN("age") AS min_age, - MAX("age") AS max_age - FROM FilteredUsers - GROUP BY - "gender" -) -SELECT - T1."gender", - COUNT(CASE WHEN T1."age" = T2.min_age THEN 1 END) AS youngest_count, - COUNT(CASE WHEN T1."age" = T2.max_age THEN 1 END) AS oldest_count +WITH FilteredUsers AS + (SELECT "gender", + "age" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" + WHERE TO_TIMESTAMP_NTZ("created_at" / 1000000) >= '2019-01-01' + AND TO_TIMESTAMP_NTZ("created_at" / 1000000) < '2022-05-01'), + AgeBounds AS + (SELECT "gender", + MIN("age") AS min_age, + MAX("age") AS max_age + FROM FilteredUsers + GROUP BY "gender") +SELECT T1."gender", + COUNT(CASE + WHEN T1."age" = T2.min_age THEN 1 + END) AS youngest_count, + COUNT(CASE + WHEN T1."age" = T2.max_age THEN 1 + END) AS oldest_count FROM FilteredUsers AS T1 -JOIN AgeBounds AS T2 - ON T1."gender" = T2."gender" -WHERE - T1."age" = T2.min_age OR T1."age" = T2.max_age -GROUP BY - T1."gender"; +JOIN AgeBounds AS T2 ON T1."gender" = T2."gender" +WHERE T1."age" = T2.min_age + OR T1."age" = T2.max_age +GROUP BY T1."gender"; diff --git a/spider2/queries/snow_sf_bq263.sql b/spider2/queries/snow_sf_bq263.sql index da3c1ff852b775c61f148718efb8041505a25c31..334d43bfb01d94021a8e0cb7de60e3423a630185 100644 --- a/spider2/queries/snow_sf_bq263.sql +++ b/spider2/queries/snow_sf_bq263.sql @@ -1,15 +1,15 @@ -SELECT - DATE_TRUNC('month', TO_TIMESTAMP_NTZ("O"."created_at" / 1000000)) AS "month", - SUM("OI"."sale_price") AS "total_sales", - SUM("P"."cost") AS "total_cost", - COUNT(DISTINCT "O"."order_id") AS "complete_orders", - SUM("OI"."sale_price" - "P"."cost") AS "total_profit", - CASE WHEN SUM("P"."cost") = 0 THEN NULL ELSE SUM("OI"."sale_price" - "P"."cost") / SUM("P"."cost") END AS "profit_to_cost_ratio" +SELECT DATE_TRUNC('month', TO_TIMESTAMP_NTZ("O"."created_at" / 1000000)) AS "month", + SUM("OI"."sale_price") AS "total_sales", + SUM("P"."cost") AS "total_cost", + COUNT(DISTINCT "O"."order_id") AS "complete_orders", + SUM("OI"."sale_price" - "P"."cost") AS "total_profit", + CASE + WHEN SUM("P"."cost") = 0 THEN NULL + ELSE SUM("OI"."sale_price" - "P"."cost") / SUM("P"."cost") + END AS "profit_to_cost_ratio" FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" AS "OI" -JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" AS "O" - ON "OI"."order_id" = "O"."order_id" -JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."PRODUCTS" AS "P" - ON "OI"."product_id" = "P"."id" +JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" AS "O" ON "OI"."order_id" = "O"."order_id" +JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."PRODUCTS" AS "P" ON "OI"."product_id" = "P"."id" WHERE "O"."status" = 'Complete' AND "P"."category" = 'Sleep & Lounge' AND TO_TIMESTAMP_NTZ("O"."created_at" / 1000000) >= '2023-01-01' diff --git a/spider2/queries/snow_sf_bq264.sql b/spider2/queries/snow_sf_bq264.sql index 1ad340719dd21e962a31bbe12878aa66a31d27bd..d4ffca3b9d8b76d455e9ffd123a526094194deba 100644 --- a/spider2/queries/snow_sf_bq264.sql +++ b/spider2/queries/snow_sf_bq264.sql @@ -1,14 +1,15 @@ -WITH MinMaxAge AS ( - SELECT - MIN("age") AS min_age, - MAX("age") AS max_age - FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" - WHERE - CAST(TO_TIMESTAMP_NTZ("created_at" / 1000000) AS DATE) BETWEEN '2019-01-01' AND '2022-04-30' -) -SELECT - SUM(CASE WHEN T."age" = M.max_age THEN 1 ELSE 0 END) - SUM(CASE WHEN T."age" = M.min_age THEN 1 ELSE 0 END) +WITH MinMaxAge AS + (SELECT MIN("age") AS min_age, + MAX("age") AS max_age + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" + WHERE CAST(TO_TIMESTAMP_NTZ("created_at" / 1000000) AS DATE) BETWEEN '2019-01-01' AND '2022-04-30') +SELECT SUM(CASE + WHEN T."age" = M.max_age THEN 1 + ELSE 0 + END) - SUM(CASE + WHEN T."age" = M.min_age THEN 1 + ELSE 0 + END) FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" AS T CROSS JOIN MinMaxAge AS M -WHERE - CAST(TO_TIMESTAMP_NTZ(T."created_at" / 1000000) AS DATE) BETWEEN '2019-01-01' AND '2022-04-30' +WHERE CAST(TO_TIMESTAMP_NTZ(T."created_at" / 1000000) AS DATE) BETWEEN '2019-01-01' AND '2022-04-30' diff --git a/spider2/queries/snow_sf_bq265.sql b/spider2/queries/snow_sf_bq265.sql index dd99e89fffb23f83cfcb545c3ffced25d385de86..823ab1edbd662c470cbd3aee64d1f201ec0b8097 100644 --- a/spider2/queries/snow_sf_bq265.sql +++ b/spider2/queries/snow_sf_bq265.sql @@ -1,41 +1,42 @@ -WITH users_2019 AS ( - SELECT "id" AS "user_id", "email" - FROM THELOOK_ECOMMERCE.THELOOK_ECOMMERCE.USERS - WHERE TO_TIMESTAMP_NTZ("created_at" / 1000000.0) >= TO_TIMESTAMP_NTZ('2019-01-01') - AND TO_TIMESTAMP_NTZ("created_at" / 1000000.0) < TO_TIMESTAMP_NTZ('2020-01-01') -), -orders_2019 AS ( - SELECT "order_id", "user_id" - FROM THELOOK_ECOMMERCE.THELOOK_ECOMMERCE.ORDERS - WHERE TO_TIMESTAMP_NTZ("created_at" / 1000000.0) >= TO_TIMESTAMP_NTZ('2019-01-01') - AND TO_TIMESTAMP_NTZ("created_at" / 1000000.0) < TO_TIMESTAMP_NTZ('2020-01-01') - AND "status" NOT IN ('Cancelled','Returned') -), -order_items_valid AS ( - SELECT "order_id", "sale_price" - FROM THELOOK_ECOMMERCE.THELOOK_ECOMMERCE.ORDER_ITEMS - WHERE "status" NOT IN ('Cancelled','Returned') - AND "sale_price" IS NOT NULL -), -per_order_revenue AS ( - SELECT o."order_id", o."user_id", - SUM(oi."sale_price") AS "order_revenue" - FROM orders_2019 o - JOIN order_items_valid oi - ON o."order_id" = oi."order_id" - GROUP BY o."order_id", o."user_id" -), -per_user AS ( - SELECT por."user_id", - SUM(por."order_revenue") AS "total_revenue", - COUNT(DISTINCT por."order_id") AS "order_count", - SUM(por."order_revenue") / NULLIF(COUNT(DISTINCT por."order_id"), 0) AS "aov" - FROM per_order_revenue por - GROUP BY por."user_id" -) +WITH users_2019 AS + (SELECT "id" AS "user_id", + "email" + FROM THELOOK_ECOMMERCE.THELOOK_ECOMMERCE.USERS + WHERE TO_TIMESTAMP_NTZ("created_at" / 1000000.0) >= TO_TIMESTAMP_NTZ('2019-01-01') + AND TO_TIMESTAMP_NTZ("created_at" / 1000000.0) < TO_TIMESTAMP_NTZ('2020-01-01')), + orders_2019 AS + (SELECT "order_id", + "user_id" + FROM THELOOK_ECOMMERCE.THELOOK_ECOMMERCE.ORDERS + WHERE TO_TIMESTAMP_NTZ("created_at" / 1000000.0) >= TO_TIMESTAMP_NTZ('2019-01-01') + AND TO_TIMESTAMP_NTZ("created_at" / 1000000.0) < TO_TIMESTAMP_NTZ('2020-01-01') + AND "status" NOT IN ('Cancelled', + 'Returned')), + order_items_valid AS + (SELECT "order_id", + "sale_price" + FROM THELOOK_ECOMMERCE.THELOOK_ECOMMERCE.ORDER_ITEMS + WHERE "status" NOT IN ('Cancelled', + 'Returned') + AND "sale_price" IS NOT NULL), + per_order_revenue AS + (SELECT o."order_id", + o."user_id", + SUM(oi."sale_price") AS "order_revenue" + FROM orders_2019 o + JOIN order_items_valid oi ON o."order_id" = oi."order_id" + GROUP BY o."order_id", + o."user_id"), + per_user AS + (SELECT por."user_id", + SUM(por."order_revenue") AS "total_revenue", + COUNT(DISTINCT por."order_id") AS "order_count", + SUM(por."order_revenue") / NULLIF(COUNT(DISTINCT por."order_id"), 0) AS "aov" + FROM per_order_revenue por + GROUP BY por."user_id") SELECT u."email" AS "email" FROM users_2019 u -JOIN per_user p - ON u."user_id" = p."user_id" -ORDER BY p."aov" DESC NULLS LAST, u."email" ASC +JOIN per_user p ON u."user_id" = p."user_id" +ORDER BY p."aov" DESC NULLS LAST, + u."email" ASC LIMIT 10; diff --git a/spider2/queries/snow_sf_bq271.sql b/spider2/queries/snow_sf_bq271.sql index c5a99a4052a1e89e4d4a358a7a08138061772dbc..e76edfc34c53c3ccd0eb9ae88c29dfad208c1483 100644 --- a/spider2/queries/snow_sf_bq271.sql +++ b/spider2/queries/snow_sf_bq271.sql @@ -1,32 +1,25 @@ -SELECT - TO_CHAR(DATE_TRUNC('month', TO_TIMESTAMP_LTZ("ORDERS"."created_at" / 1000000)), 'YYYY-MM') AS "order_month", - "USERS"."country" AS "country", - "INVENTORY_ITEMS"."product_department" AS "product_department", - "INVENTORY_ITEMS"."product_category" AS "product_category", - COUNT(DISTINCT "ORDERS"."order_id") AS "num_orders", - COUNT(DISTINCT "ORDERS"."user_id") AS "unique_purchasers", - SUM(COALESCE("INVENTORY_ITEMS"."product_retail_price",0)) - SUM(COALESCE("INVENTORY_ITEMS"."cost",0)) AS "profit" +SELECT TO_CHAR(DATE_TRUNC('month', TO_TIMESTAMP_LTZ("ORDERS"."created_at" / 1000000)), 'YYYY-MM') AS "order_month", + "USERS"."country" AS "country", + "INVENTORY_ITEMS"."product_department" AS "product_department", + "INVENTORY_ITEMS"."product_category" AS "product_category", + COUNT(DISTINCT "ORDERS"."order_id") AS "num_orders", + COUNT(DISTINCT "ORDERS"."user_id") AS "unique_purchasers", + SUM(COALESCE("INVENTORY_ITEMS"."product_retail_price", 0)) - SUM(COALESCE("INVENTORY_ITEMS"."cost", 0)) AS "profit" FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" "ORDERS" -JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" "USERS" - ON "ORDERS"."user_id" = "USERS"."id" -JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" "ORDER_ITEMS" - ON "ORDERS"."order_id" = "ORDER_ITEMS"."order_id" -JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."INVENTORY_ITEMS" "INVENTORY_ITEMS" - ON "ORDER_ITEMS"."inventory_item_id" = "INVENTORY_ITEMS"."id" -WHERE - "ORDERS"."created_at" >= 1609459200000000 +JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" "USERS" ON "ORDERS"."user_id" = "USERS"."id" +JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" "ORDER_ITEMS" ON "ORDERS"."order_id" = "ORDER_ITEMS"."order_id" +JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."INVENTORY_ITEMS" "INVENTORY_ITEMS" ON "ORDER_ITEMS"."inventory_item_id" = "INVENTORY_ITEMS"."id" +WHERE "ORDERS"."created_at" >= 1609459200000000 AND "ORDERS"."created_at" < 1640995200000000 AND "USERS"."created_at" >= 1609459200000000 AND "USERS"."created_at" < 1640995200000000 AND "INVENTORY_ITEMS"."created_at" >= 1609459200000000 AND "INVENTORY_ITEMS"."created_at" < 1640995200000000 -GROUP BY - DATE_TRUNC('month', TO_TIMESTAMP_LTZ("ORDERS"."created_at" / 1000000)), - "USERS"."country", - "INVENTORY_ITEMS"."product_department", - "INVENTORY_ITEMS"."product_category" -ORDER BY - "order_month", - "country", - "product_department", - "product_category"; +GROUP BY DATE_TRUNC('month', TO_TIMESTAMP_LTZ("ORDERS"."created_at" / 1000000)), + "USERS"."country", + "INVENTORY_ITEMS"."product_department", + "INVENTORY_ITEMS"."product_category" +ORDER BY "order_month", + "country", + "product_department", + "product_category"; diff --git a/spider2/queries/snow_sf_bq273.sql b/spider2/queries/snow_sf_bq273.sql index 23a4e90a13dce384effc180d595cc280f45561cc..16108b61e583d98bbd53413625ad4bf16896b9d2 100644 --- a/spider2/queries/snow_sf_bq273.sql +++ b/spider2/queries/snow_sf_bq273.sql @@ -1,43 +1,36 @@ -WITH "order_profit" AS ( - SELECT - CAST(DATE_TRUNC('month', TO_TIMESTAMP("o"."delivered_at" / 1000000)) AS DATE) AS "delivery_month", - "o"."order_id", - SUM("oi"."sale_price" - COALESCE("ii"."cost", 0)) AS "order_profit" - FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" AS "o" - JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" AS "u" - ON "o"."user_id" = "u"."id" - JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" AS "oi" - ON "o"."order_id" = "oi"."order_id" - LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."INVENTORY_ITEMS" AS "ii" - ON "oi"."inventory_item_id" = "ii"."id" - WHERE "o"."status" = 'Complete' - AND "u"."traffic_source" = 'Facebook' - AND TO_TIMESTAMP("o"."created_at" / 1000000) >= TO_TIMESTAMP('2022-08-01') - AND TO_TIMESTAMP("o"."created_at" / 1000000) < TO_TIMESTAMP('2023-12-01') - AND "o"."delivered_at" IS NOT NULL - GROUP BY 1, 2 -), -"monthly_profit" AS ( - SELECT - "delivery_month", - SUM("order_profit") AS "monthly_profit" - FROM "order_profit" - WHERE "delivery_month" >= DATE '2022-08-01' - AND "delivery_month" <= DATE '2023-11-01' - GROUP BY 1 -), -"monthly_changes" AS ( - SELECT - "delivery_month", - "monthly_profit", - "monthly_profit" - LAG("monthly_profit") OVER (ORDER BY "delivery_month") AS "profit_increase" - FROM "monthly_profit" -) -SELECT - "delivery_month", - "monthly_profit", - "profit_increase" +WITH "order_profit" AS + (SELECT CAST(DATE_TRUNC('month', TO_TIMESTAMP("o"."delivered_at" / 1000000)) AS DATE) AS "delivery_month", + "o"."order_id", + SUM("oi"."sale_price" - COALESCE("ii"."cost", 0)) AS "order_profit" + FROM "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDERS" AS "o" + JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."USERS" AS "u" ON "o"."user_id" = "u"."id" + JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."ORDER_ITEMS" AS "oi" ON "o"."order_id" = "oi"."order_id" + LEFT JOIN "THELOOK_ECOMMERCE"."THELOOK_ECOMMERCE"."INVENTORY_ITEMS" AS "ii" ON "oi"."inventory_item_id" = "ii"."id" + WHERE "o"."status" = 'Complete' + AND "u"."traffic_source" = 'Facebook' + AND TO_TIMESTAMP("o"."created_at" / 1000000) >= TO_TIMESTAMP('2022-08-01') + AND TO_TIMESTAMP("o"."created_at" / 1000000) < TO_TIMESTAMP('2023-12-01') + AND "o"."delivered_at" IS NOT NULL + GROUP BY 1, + 2), + "monthly_profit" AS + (SELECT "delivery_month", + SUM("order_profit") AS "monthly_profit" + FROM "order_profit" + WHERE "delivery_month" >= DATE '2022-08-01' + AND "delivery_month" <= DATE '2023-11-01' + GROUP BY 1), + "monthly_changes" AS + (SELECT "delivery_month", + "monthly_profit", + "monthly_profit" - LAG("monthly_profit") OVER ( + ORDER BY "delivery_month") AS "profit_increase" + FROM "monthly_profit") +SELECT "delivery_month", + "monthly_profit", + "profit_increase" FROM "monthly_changes" WHERE "profit_increase" IS NOT NULL -ORDER BY "profit_increase" DESC, "delivery_month" +ORDER BY "profit_increase" DESC, + "delivery_month" LIMIT 5 diff --git a/spider2/queries/snow_sf_bq289.sql b/spider2/queries/snow_sf_bq289.sql index 59b0bc55b7035cd58af377d80ea4a41ee88b7dcf..4b7c2b2967e462374d4c29f183c482266f4b4e46 100644 --- a/spider2/queries/snow_sf_bq289.sql +++ b/spider2/queries/snow_sf_bq289.sql @@ -1,23 +1,15 @@ -WITH philly_amenities AS ( - SELECT - "p"."osm_id", - TO_GEOGRAPHY("p"."geometry") AS "geo" - FROM - "GEO_OPENSTREETMAP_CENSUS_PLACES"."GEO_US_CENSUS_PLACES"."PLACES_PENNSYLVANIA" AS "pa" - JOIN - "GEO_OPENSTREETMAP_CENSUS_PLACES"."GEO_OPENSTREETMAP"."PLANET_FEATURES_POINTS" AS "p" - ON ST_CONTAINS(TO_GEOGRAPHY("pa"."place_geom"), TO_GEOGRAPHY("p"."geometry")) - , TABLE(FLATTEN("p"."all_tags")) AS "t" - WHERE - "pa"."place_name" = 'Philadelphia' - AND "t"."VALUE":"key"::STRING = 'amenity' - AND "t"."VALUE":"value"::STRING IN ('library', 'place_of_worship', 'community_centre') -) -SELECT - MIN(ST_DISTANCE("a1"."geo", "a2"."geo")) -FROM - philly_amenities AS "a1" -CROSS JOIN - philly_amenities AS "a2" -WHERE - "a1"."osm_id" < "a2"."osm_id" +WITH philly_amenities AS + (SELECT "p"."osm_id", + TO_GEOGRAPHY("p"."geometry") AS "geo" + FROM "GEO_OPENSTREETMAP_CENSUS_PLACES"."GEO_US_CENSUS_PLACES"."PLACES_PENNSYLVANIA" AS "pa" + JOIN "GEO_OPENSTREETMAP_CENSUS_PLACES"."GEO_OPENSTREETMAP"."PLANET_FEATURES_POINTS" AS "p" ON ST_CONTAINS(TO_GEOGRAPHY("pa"."place_geom"), TO_GEOGRAPHY("p"."geometry")) , + TABLE(FLATTEN("p"."all_tags")) AS "t" + WHERE "pa"."place_name" = 'Philadelphia' + AND "t"."VALUE":"key"::STRING = 'amenity' + AND "t"."VALUE":"value"::STRING IN ('library', + 'place_of_worship', + 'community_centre')) +SELECT MIN(ST_DISTANCE("a1"."geo", "a2"."geo")) +FROM philly_amenities AS "a1" +CROSS JOIN philly_amenities AS "a2" +WHERE "a1"."osm_id" < "a2"."osm_id" diff --git a/spider2/queries/snow_sf_bq291.sql b/spider2/queries/snow_sf_bq291.sql index 12c93850bd7984c5fdbffdc42c865e847c1bffd6..65fe5aaf22fe5a3d68194de63a7dca62563ecec2 100644 --- a/spider2/queries/snow_sf_bq291.sql +++ b/spider2/queries/snow_sf_bq291.sql @@ -1,55 +1,53 @@ -WITH "pts" AS ( - SELECT - "creation_time", - TO_DATE(TO_TIMESTAMP_NTZ("creation_time" / 1000000)) AS "creation_date", - "forecast", - "geography", - "geography_polygon" - FROM "NOAA_GLOBAL_FORECAST_SYSTEM"."NOAA_GLOBAL_FORECAST_SYSTEM"."NOAA_GFS0P25" - WHERE TO_DATE(TO_TIMESTAMP_NTZ("creation_time" / 1000000)) BETWEEN '2019-07-01' AND '2019-07-31' - AND ( - (TO_GEOGRAPHY("geography") IS NOT NULL AND ( - ST_DISTANCE(TO_GEOGRAPHY("geography"), TO_GEOGRAPHY('POINT(51.5 26.75)')) <= 5000 - OR ST_DISTANCE(TO_GEOGRAPHY("geography"), TO_GEOGRAPHY('POINT(26.75 51.5)')) <= 5000 - )) - OR (TO_GEOGRAPHY("geography_polygon") IS NOT NULL AND ( - ST_CONTAINS(TO_GEOGRAPHY("geography_polygon"), TO_GEOGRAPHY('POINT(51.5 26.75)')) - OR ST_CONTAINS(TO_GEOGRAPHY("geography_polygon"), TO_GEOGRAPHY('POINT(26.75 51.5)')) - )) - ) -), -"flat" AS ( - SELECT - p."creation_date" AS "creation_date", - TO_DATE(TO_TIMESTAMP_NTZ(("f"."VALUE":"time")::NUMBER / 1000000)) AS "forecast_date", - EXTRACT(HOUR FROM TO_TIMESTAMP_NTZ(("f"."VALUE":"time")::NUMBER / 1000000)) AS "forecast_hour", - ((("f"."VALUE":"temperature_2m_above_ground")::FLOAT) * 9.0/5.0) + 32 AS "temp_f", - COALESCE(("f"."VALUE":"total_precipitation_surface")::FLOAT, 0) AS "precip", - ("f"."VALUE":"total_cloud_cover_entire_atmosphere")::FLOAT AS "cloud_cover" - FROM "pts" p, - LATERAL FLATTEN(input => p."forecast") AS "f" -), -"daily" AS ( - SELECT - "forecast_date", - MAX("temp_f") AS "max_temp_f", - MIN("temp_f") AS "min_temp_f", - AVG("temp_f") AS "avg_temp_f", - SUM("precip") AS "total_precipitation", - AVG(CASE WHEN "forecast_hour" BETWEEN 10 AND 17 THEN "cloud_cover" END) AS "avg_cloud_cover_10am_5pm" - FROM "flat" - WHERE "forecast_date" = DATEADD('day', 1, "creation_date") - AND "forecast_date" BETWEEN '2019-07-01' AND '2019-07-31' - GROUP BY "forecast_date" -) -SELECT - "forecast_date", - "max_temp_f" AS "max_temperature_f", - "min_temp_f" AS "min_temperature_f", - "avg_temp_f" AS "avg_temperature_f", - "total_precipitation", - "avg_cloud_cover_10am_5pm", - CASE WHEN "avg_temp_f" < 32 THEN "total_precipitation" ELSE 0 END AS "total_snowfall", - CASE WHEN "avg_temp_f" >= 32 THEN "total_precipitation" ELSE 0 END AS "total_rainfall" +WITH "pts" AS + (SELECT "creation_time", + TO_DATE(TO_TIMESTAMP_NTZ("creation_time" / 1000000)) AS "creation_date", + "forecast", + "geography", + "geography_polygon" + FROM "NOAA_GLOBAL_FORECAST_SYSTEM"."NOAA_GLOBAL_FORECAST_SYSTEM"."NOAA_GFS0P25" + WHERE TO_DATE(TO_TIMESTAMP_NTZ("creation_time" / 1000000)) BETWEEN '2019-07-01' AND '2019-07-31' + AND ((TO_GEOGRAPHY("geography") IS NOT NULL + AND (ST_DISTANCE(TO_GEOGRAPHY("geography"), TO_GEOGRAPHY('POINT(51.5 26.75)')) <= 5000 + OR ST_DISTANCE(TO_GEOGRAPHY("geography"), TO_GEOGRAPHY('POINT(26.75 51.5)')) <= 5000)) + OR (TO_GEOGRAPHY("geography_polygon") IS NOT NULL + AND (ST_CONTAINS(TO_GEOGRAPHY("geography_polygon"), TO_GEOGRAPHY('POINT(51.5 26.75)')) + OR ST_CONTAINS(TO_GEOGRAPHY("geography_polygon"), TO_GEOGRAPHY('POINT(26.75 51.5)')))))), + "flat" AS + (SELECT p."creation_date" AS "creation_date", + TO_DATE(TO_TIMESTAMP_NTZ(("f"."VALUE":"time")::NUMBER / 1000000)) AS "forecast_date", + EXTRACT(HOUR + FROM TO_TIMESTAMP_NTZ(("f"."VALUE":"time")::NUMBER / 1000000)) AS "forecast_hour", + ((("f"."VALUE":"temperature_2m_above_ground")::FLOAT) * 9.0/5.0) + 32 AS "temp_f", + COALESCE(("f"."VALUE":"total_precipitation_surface")::FLOAT, 0) AS "precip", + ("f"."VALUE":"total_cloud_cover_entire_atmosphere")::FLOAT AS "cloud_cover" + FROM "pts" p, + LATERAL FLATTEN(INPUT => p."forecast") AS "f"), + "daily" AS + (SELECT "forecast_date", + MAX("temp_f") AS "max_temp_f", + MIN("temp_f") AS "min_temp_f", + AVG("temp_f") AS "avg_temp_f", + SUM("precip") AS "total_precipitation", + AVG(CASE + WHEN "forecast_hour" BETWEEN 10 AND 17 THEN "cloud_cover" + END) AS "avg_cloud_cover_10am_5pm" + FROM "flat" + WHERE "forecast_date" = DATEADD('day', 1, "creation_date") + AND "forecast_date" BETWEEN '2019-07-01' AND '2019-07-31' + GROUP BY "forecast_date") +SELECT "forecast_date", + "max_temp_f" AS "max_temperature_f", + "min_temp_f" AS "min_temperature_f", + "avg_temp_f" AS "avg_temperature_f", + "total_precipitation", + "avg_cloud_cover_10am_5pm", + CASE + WHEN "avg_temp_f" < 32 THEN "total_precipitation" + ELSE 0 + END AS "total_snowfall", + CASE + WHEN "avg_temp_f" >= 32 THEN "total_precipitation" + ELSE 0 + END AS "total_rainfall" FROM "daily" ORDER BY "forecast_date" ASC; diff --git a/spider2/queries/snow_sf_bq294.sql b/spider2/queries/snow_sf_bq294.sql index 8553f0e62bbabc6ada26c509ba4dc655b8556e39..b5970b2f5e4ec0a6286c1e3adb469989135797b5 100644 --- a/spider2/queries/snow_sf_bq294.sql +++ b/spider2/queries/snow_sf_bq294.sql @@ -1,29 +1,30 @@ -SELECT - t."trip_id" AS "trip_id", - t."duration_sec" AS "duration_sec", - TO_TIMESTAMP_NTZ(t."start_date" / 1000000) AS "start_date", - t."start_station_name" AS "start_station_name", - (t."start_station_name" || ' - ' || t."end_station_name") AS "route", - t."bike_number" AS "bike_number", - t."subscriber_type" AS "subscriber_type", - CAST(t."member_birth_year" AS INT) AS "member_birth_year", - (EXTRACT(YEAR FROM CURRENT_DATE) - CAST(t."member_birth_year" AS INT)) AS "age", - CASE - WHEN (EXTRACT(YEAR FROM CURRENT_DATE) - CAST(t."member_birth_year" AS INT)) < 40 THEN 'Young (<40 Y.O)' - WHEN (EXTRACT(YEAR FROM CURRENT_DATE) - CAST(t."member_birth_year" AS INT)) BETWEEN 40 AND 60 THEN 'Adult (40-60 Y.O)' - ELSE 'Senior Adult (>60 Y.O)' - END AS "age_class", - t."member_gender" AS "member_gender", - r."name" AS "region_name" +SELECT t."trip_id" AS "trip_id", + t."duration_sec" AS "duration_sec", + TO_TIMESTAMP_NTZ(t."start_date" / 1000000) AS "start_date", + t."start_station_name" AS "start_station_name", + (t."start_station_name" || ' - ' || t."end_station_name") AS "route", + t."bike_number" AS "bike_number", + t."subscriber_type" AS "subscriber_type", + CAST(t."member_birth_year" AS INT) AS "member_birth_year", + (EXTRACT(YEAR + FROM CURRENT_DATE) - CAST(t."member_birth_year" AS INT)) AS "age", + CASE + WHEN (EXTRACT(YEAR + FROM CURRENT_DATE) - CAST(t."member_birth_year" AS INT)) < 40 THEN 'Young (<40 Y.O)' + WHEN (EXTRACT(YEAR + FROM CURRENT_DATE) - CAST(t."member_birth_year" AS INT)) BETWEEN 40 AND 60 THEN 'Adult (40-60 Y.O)' + ELSE 'Senior Adult (>60 Y.O)' + END AS "age_class", + t."member_gender" AS "member_gender", + r."name" AS "region_name" FROM "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_TRIPS" t -LEFT JOIN "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_STATION_INFO" si - ON si."station_id" = CAST(t."start_station_id" AS VARCHAR) -LEFT JOIN "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_REGIONS" r - ON r."region_id" = si."region_id" -WHERE - t."start_station_name" IS NOT NULL AND TRIM(t."start_station_name") != '' +LEFT JOIN "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_STATION_INFO" si ON si."station_id" = CAST(t."start_station_id" AS VARCHAR) +LEFT JOIN "SAN_FRANCISCO_PLUS"."SAN_FRANCISCO_BIKESHARE"."BIKESHARE_REGIONS" r ON r."region_id" = si."region_id" +WHERE t."start_station_name" IS NOT NULL + AND TRIM(t."start_station_name") != '' AND t."member_birth_year" IS NOT NULL - AND t."member_gender" IS NOT NULL AND TRIM(t."member_gender") != '' + AND t."member_gender" IS NOT NULL + AND TRIM(t."member_gender") != '' AND TO_TIMESTAMP_NTZ(t."start_date" / 1000000) BETWEEN TO_TIMESTAMP_NTZ('2017-07-01 00:00:00') AND TO_TIMESTAMP_NTZ('2017-12-31 23:59:59') ORDER BY t."duration_sec" DESC LIMIT 5; diff --git a/spider2/queries/snow_sf_bq295.sql b/spider2/queries/snow_sf_bq295.sql index 04c0401abff6b72dfee0c423cb050d3d796d75f3..0fcb2bf06b06d934755a731cfb81b0708612988c 100644 --- a/spider2/queries/snow_sf_bq295.sql +++ b/spider2/queries/snow_sf_bq295.sql @@ -1,17 +1,15 @@ -SELECT - w."repo":name::VARCHAR as repo_name, - COUNT(*) as watch_count +SELECT w."repo":name::VARCHAR AS repo_name, + COUNT(*) AS watch_count FROM "GITHUB_REPOS_DATE"."YEAR"."_2017" w WHERE w."type" = 'WatchEvent' -AND w."repo" IS NOT NULL -AND EXISTS ( - SELECT 1 - FROM "GITHUB_REPOS_DATE"."GITHUB_REPOS"."SAMPLE_CONTENTS" c - WHERE c."sample_repo_name" = w."repo":name::VARCHAR - AND c."sample_path" LIKE '%.py' - AND c."size" < 15000 - AND c."content" LIKE '%def %' -) + AND w."repo" IS NOT NULL + AND EXISTS + (SELECT 1 + FROM "GITHUB_REPOS_DATE"."GITHUB_REPOS"."SAMPLE_CONTENTS" c + WHERE c."sample_repo_name" = w."repo":name::VARCHAR + AND c."sample_path" LIKE '%.py' + AND c."size" < 15000 + AND c."content" LIKE '%def %') GROUP BY repo_name ORDER BY watch_count DESC LIMIT 3; diff --git a/spider2/queries/snow_sf_bq320.sql b/spider2/queries/snow_sf_bq320.sql index a8ddfda8f011a353a8c130ee17b782e44a31ce0a..3908c07efbcec9992a89f32fa5a26efacbf39c8c 100644 --- a/spider2/queries/snow_sf_bq320.sql +++ b/spider2/queries/snow_sf_bq320.sql @@ -2,4 +2,5 @@ SELECT COUNT(DISTINCT "StudyInstanceUID") AS "unique_study_count" FROM "IDC"."IDC_V17"."DICOM_PIVOT" WHERE "SegmentedPropertyTypeCodeSequence" IS NOT NULL AND LOWER(TRIM("SegmentedPropertyTypeCodeSequence")) = '15825003' - AND LOWER(TRIM("collection_id")) IN ('community', 'nsclc_radiomics'); + AND LOWER(TRIM("collection_id")) IN ('community', + 'nsclc_radiomics'); diff --git a/spider2/queries/snow_sf_bq321.sql b/spider2/queries/snow_sf_bq321.sql index 9dab45fc831addae04dd23f93e791b232b04fd37..cf5b6eaa4d2fb5394f5f1ac551f3f0b9605722b3 100644 --- a/spider2/queries/snow_sf_bq321.sql +++ b/spider2/queries/snow_sf_bq321.sql @@ -1,9 +1,7 @@ SELECT COUNT(DISTINCT "StudyInstanceUID") AS "unique_study_count" FROM "IDC"."IDC_V17"."DICOM_PIVOT" WHERE "collection_id" = 'qin_prostate_repeatability' - AND "SeriesDescription" IN ( - 'DWI', - 'T2 Weighted Axial', - 'Apparent Diffusion Coefficient', - 'T2 Weighted Axial Segmentations' - ); + AND "SeriesDescription" IN ('DWI', + 'T2 Weighted Axial', + 'Apparent Diffusion Coefficient', + 'T2 Weighted Axial Segmentations'); diff --git a/spider2/queries/snow_sf_bq334.sql b/spider2/queries/snow_sf_bq334.sql index 869a86c6755309c938f3feadb2631b016bca736e..86c66983f0b2d30338b94775e4802dc6e34dbfc1 100644 --- a/spider2/queries/snow_sf_bq334.sql +++ b/spider2/queries/snow_sf_bq334.sql @@ -1,39 +1,29 @@ -WITH "merged_union" AS ( - SELECT - "block_timestamp", - "value", - 'output' AS "origin" - FROM "CRYPTO"."CRYPTO_BITCOIN"."OUTPUTS" - UNION ALL - SELECT - "block_timestamp", - "value", - 'input' AS "origin" - FROM "CRYPTO"."CRYPTO_BITCOIN"."INPUTS" -), -"merged_outputs_avg" AS ( - SELECT - DATE_PART(year, TO_TIMESTAMP_NTZ("block_timestamp", 6)) AS "year", - AVG("value") AS "merged_avg" - FROM "merged_union" - WHERE "origin" = 'output' - AND "value" IS NOT NULL - AND "block_timestamp" IS NOT NULL - GROUP BY 1 -), -"transactions_avg" AS ( - SELECT - DATE_PART(year, TO_TIMESTAMP_NTZ("block_timestamp", 6)) AS "year", - AVG("output_value") AS "tx_avg" - FROM "CRYPTO"."CRYPTO_BITCOIN"."TRANSACTIONS" - WHERE "output_value" IS NOT NULL - AND "block_timestamp" IS NOT NULL - GROUP BY 1 -) -SELECT - m."year", - m."merged_avg" - t."tx_avg" AS "difference" +WITH "merged_union" AS + (SELECT "block_timestamp", + "value", + 'output' AS "origin" + FROM "CRYPTO"."CRYPTO_BITCOIN"."OUTPUTS" + UNION ALL SELECT "block_timestamp", + "value", + 'input' AS "origin" + FROM "CRYPTO"."CRYPTO_BITCOIN"."INPUTS"), + "merged_outputs_avg" AS + (SELECT DATE_PART(YEAR, TO_TIMESTAMP_NTZ("block_timestamp", 6)) AS "year", + AVG("value") AS "merged_avg" + FROM "merged_union" + WHERE "origin" = 'output' + AND "value" IS NOT NULL + AND "block_timestamp" IS NOT NULL + GROUP BY 1), + "transactions_avg" AS + (SELECT DATE_PART(YEAR, TO_TIMESTAMP_NTZ("block_timestamp", 6)) AS "year", + AVG("output_value") AS "tx_avg" + FROM "CRYPTO"."CRYPTO_BITCOIN"."TRANSACTIONS" + WHERE "output_value" IS NOT NULL + AND "block_timestamp" IS NOT NULL + GROUP BY 1) +SELECT m."year", + m."merged_avg" - t."tx_avg" AS "difference" FROM "merged_outputs_avg" m -JOIN "transactions_avg" t - ON m."year" = t."year" +JOIN "transactions_avg" t ON m."year" = t."year" ORDER BY m."year"; diff --git a/spider2/queries/snow_sf_bq341.sql b/spider2/queries/snow_sf_bq341.sql index 7ae6519c58f92c0120084e1f6e4759ed36482dd8..e7eb4dd007bbdfe3918a7fbe57fc6abd65a5421e 100644 --- a/spider2/queries/snow_sf_bq341.sql +++ b/spider2/queries/snow_sf_bq341.sql @@ -1,27 +1,22 @@ -WITH address_balances AS ( - SELECT - address, - SUM(CASE WHEN direction = 'in' THEN value_numeric ELSE -value_numeric END) AS balance - FROM ( - SELECT - "to_address" AS address, - CAST("value" AS NUMBER(38,0)) AS value_numeric, - 'in' AS direction - FROM CRYPTO.CRYPTO_ETHEREUM.TOKEN_TRANSFERS - WHERE "token_address" = '0xa92a861fc11b99b24296af880011b47f9cafb5ab' - - UNION ALL - - SELECT - "from_address" AS address, - CAST("value" AS NUMBER(38,0)) AS value_numeric, - 'out' AS direction - FROM CRYPTO.CRYPTO_ETHEREUM.TOKEN_TRANSFERS - WHERE "token_address" = '0xa92a861fc11b99b24296af880011b47f9cafb5ab' - ) - WHERE address != '0x0000000000000000000000000000000000000000' - GROUP BY address -) +WITH address_balances AS + (SELECT address, + SUM(CASE + WHEN direction = 'in' THEN value_numeric + ELSE -value_numeric + END) AS balance + FROM + (SELECT "to_address" AS address, + CAST("value" AS NUMBER(38, 0)) AS value_numeric, + 'in' AS direction + FROM CRYPTO.CRYPTO_ETHEREUM.TOKEN_TRANSFERS + WHERE "token_address" = '0xa92a861fc11b99b24296af880011b47f9cafb5ab' + UNION ALL SELECT "from_address" AS address, + CAST("value" AS NUMBER(38, 0)) AS value_numeric, + 'out' AS direction + FROM CRYPTO.CRYPTO_ETHEREUM.TOKEN_TRANSFERS + WHERE "token_address" = '0xa92a861fc11b99b24296af880011b47f9cafb5ab') + WHERE address != '0x0000000000000000000000000000000000000000' + GROUP BY address) SELECT address FROM address_balances WHERE balance > 0 diff --git a/spider2/queries/snow_sf_bq345.sql b/spider2/queries/snow_sf_bq345.sql index 4cc209dc2f03ba0367db3e0e8375f9dc70f5f205..8669b5e3e9a65882782b22aec867881b0b9730c6 100644 --- a/spider2/queries/snow_sf_bq345.sql +++ b/spider2/queries/snow_sf_bq345.sql @@ -1,20 +1,17 @@ -SELECT - "collection_id", - "StudyInstanceUID" AS "study_id", - "SeriesInstanceUID" AS "series_id", - 'https://viewer.imaging.datacommons.cancer.gov/viewer/' || "StudyInstanceUID" AS "viewer_url", - ROUND(SUM("instance_size") / 1024) AS "size_kb" +SELECT "collection_id", + "StudyInstanceUID" AS "study_id", + "SeriesInstanceUID" AS "series_id", + 'https://viewer.imaging.datacommons.cancer.gov/viewer/' || "StudyInstanceUID" AS "viewer_url", + ROUND(SUM("instance_size") / 1024) AS "size_kb" FROM "IDC"."IDC_V17"."DICOM_ALL" -WHERE - "Modality" IN ('SEG','RTSTRUCT') +WHERE "Modality" IN ('SEG', + 'RTSTRUCT') AND "SOPClassUID" = '1.2.840.10008.5.1.4.1.1.66.4' AND COALESCE(ARRAY_SIZE("ReferencedSeriesSequence"), 0) = 0 AND COALESCE(ARRAY_SIZE("ReferencedImageSequence"), 0) = 0 AND COALESCE(ARRAY_SIZE("SourceImageSequence"), 0) = 0 -GROUP BY - "collection_id", - "StudyInstanceUID", - "SeriesInstanceUID", - 'https://viewer.imaging.datacommons.cancer.gov/viewer/' || "StudyInstanceUID" -ORDER BY - "size_kb" DESC; +GROUP BY "collection_id", + "StudyInstanceUID", + "SeriesInstanceUID", + 'https://viewer.imaging.datacommons.cancer.gov/viewer/' || "StudyInstanceUID" +ORDER BY "size_kb" DESC; diff --git a/spider2/queries/snow_sf_bq346.sql b/spider2/queries/snow_sf_bq346.sql index 30d52f29f6aa91fa598ee9b3d0a41b47699a9894..a4d02790910359de95a9446d89bcd5d4f2500013 100644 --- a/spider2/queries/snow_sf_bq346.sql +++ b/spider2/queries/snow_sf_bq346.sql @@ -1,60 +1,56 @@ -WITH segs AS ( - SELECT d."SOPInstanceUID" - FROM "IDC"."IDC_V17"."DICOM_ALL" d - WHERE d."access" = 'Public' - AND d."Modality" = 'SEG' - AND d."SOPClassUID" = '1.2.840.10008.5.1.4.1.1.66.4' -), -refs AS ( - SELECT s."SOPInstanceUID" AS "seg_sop", d."ReferencedSOPInstanceUID"::string AS "ref_sop" - FROM segs s - JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID" - WHERE d."ReferencedSOPInstanceUID" IS NOT NULL - UNION ALL - SELECT s."SOPInstanceUID", f.value:"ReferencedSOPInstanceUID"::string - FROM segs s - JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", - LATERAL FLATTEN(INPUT => d."SourceImageSequence") f - WHERE f.value:"ReferencedSOPInstanceUID" IS NOT NULL - UNION ALL - SELECT s."SOPInstanceUID", f.value:"ReferencedSOPInstanceUID"::string - FROM segs s - JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", - LATERAL FLATTEN(INPUT => d."ReferencedImageSequence") f - WHERE f.value:"ReferencedSOPInstanceUID" IS NOT NULL - UNION ALL - SELECT s."SOPInstanceUID", f2.value:"ReferencedSOPInstanceUID"::string - FROM segs s - JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", - LATERAL FLATTEN(INPUT => d."DerivationImageSequence") f1, - LATERAL FLATTEN(INPUT => f1.value:"SourceImageSequence") f2 - WHERE f2.value:"ReferencedSOPInstanceUID" IS NOT NULL - UNION ALL - SELECT s."SOPInstanceUID", ri.value:"ReferencedSOPInstanceUID"::string - FROM segs s - JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", - LATERAL FLATTEN(INPUT => d."ReferencedSeriesSequence") rs, - LATERAL FLATTEN(INPUT => rs.value:"ReferencedInstanceSequence") ri - WHERE ri.value:"ReferencedSOPInstanceUID" IS NOT NULL - UNION ALL - SELECT s."SOPInstanceUID", ri.value:"ReferencedSOPInstanceUID"::string - FROM segs s - JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", - LATERAL FLATTEN(INPUT => d."ReferencedImageEvidenceSequence") rie, - LATERAL FLATTEN(INPUT => rie.value:"ReferencedSeriesSequence") rs, - LATERAL FLATTEN(INPUT => rs.value:"ReferencedInstanceSequence") ri - WHERE ri.value:"ReferencedSOPInstanceUID" IS NOT NULL -), -seg_with_ref AS ( - SELECT DISTINCT "seg_sop" - FROM refs -) -SELECT - seg."SegmentedPropertyCategory":"CodeMeaning"::string AS "SegmentedPropertyCategory_CodeMeaning", - COUNT(*) AS "count" +WITH segs AS + (SELECT d."SOPInstanceUID" + FROM "IDC"."IDC_V17"."DICOM_ALL" d + WHERE d."access" = 'Public' + AND d."Modality" = 'SEG' + AND d."SOPClassUID" = '1.2.840.10008.5.1.4.1.1.66.4'), + refs AS + (SELECT s."SOPInstanceUID" AS "seg_sop", + d."ReferencedSOPInstanceUID"::string AS "ref_sop" + FROM segs s + JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID" + WHERE d."ReferencedSOPInstanceUID" IS NOT NULL + UNION ALL SELECT s."SOPInstanceUID", + f.value:"ReferencedSOPInstanceUID"::string + FROM segs s + JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", + LATERAL FLATTEN(INPUT => d."SourceImageSequence") f + WHERE f.value:"ReferencedSOPInstanceUID" IS NOT NULL + UNION ALL SELECT s."SOPInstanceUID", + f.value:"ReferencedSOPInstanceUID"::string + FROM segs s + JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", + LATERAL FLATTEN(INPUT => d."ReferencedImageSequence") f + WHERE f.value:"ReferencedSOPInstanceUID" IS NOT NULL + UNION ALL SELECT s."SOPInstanceUID", + f2.value:"ReferencedSOPInstanceUID"::string + FROM segs s + JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", + LATERAL FLATTEN(INPUT => d."DerivationImageSequence") f1, + LATERAL FLATTEN(INPUT => f1.value:"SourceImageSequence") f2 + WHERE f2.value:"ReferencedSOPInstanceUID" IS NOT NULL + UNION ALL SELECT s."SOPInstanceUID", + ri.value:"ReferencedSOPInstanceUID"::string + FROM segs s + JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", + LATERAL FLATTEN(INPUT => d."ReferencedSeriesSequence") rs, + LATERAL FLATTEN(INPUT => rs.value:"ReferencedInstanceSequence") ri + WHERE ri.value:"ReferencedSOPInstanceUID" IS NOT NULL + UNION ALL SELECT s."SOPInstanceUID", + ri.value:"ReferencedSOPInstanceUID"::string + FROM segs s + JOIN "IDC"."IDC_V17"."DICOM_ALL" d ON d."SOPInstanceUID" = s."SOPInstanceUID", + LATERAL FLATTEN(INPUT => d."ReferencedImageEvidenceSequence") rie, + LATERAL FLATTEN(INPUT => rie.value:"ReferencedSeriesSequence") rs, + LATERAL FLATTEN(INPUT => rs.value:"ReferencedInstanceSequence") ri + WHERE ri.value:"ReferencedSOPInstanceUID" IS NOT NULL), + seg_with_ref AS + (SELECT DISTINCT "seg_sop" + FROM refs) +SELECT seg."SegmentedPropertyCategory":"CodeMeaning"::string AS "SegmentedPropertyCategory_CodeMeaning", + COUNT(*) AS "count" FROM "IDC"."IDC_V17"."SEGMENTATIONS" AS seg -JOIN seg_with_ref r - ON seg."SOPInstanceUID" = r."seg_sop" +JOIN seg_with_ref r ON seg."SOPInstanceUID" = r."seg_sop" GROUP BY 1 ORDER BY 2 DESC LIMIT 5 diff --git a/spider2/queries/snow_sf_bq347.sql b/spider2/queries/snow_sf_bq347.sql index 570c92a788e7fea87dfb5627341148fc301123e3..9d49fd2c2fad7b4e9306c36fd68b56c16747ef15 100644 --- a/spider2/queries/snow_sf_bq347.sql +++ b/spider2/queries/snow_sf_bq347.sql @@ -1,20 +1,17 @@ -WITH "TARGET_SERIES" AS ( - SELECT '1.3.6.1.4.1.14519.5.2.1.3671.4754.105976129314091491952445656147' AS "SeriesInstanceUID" - UNION - SELECT DISTINCT "SeriesInstanceUID" - FROM "IDC"."IDC_V17"."SEGMENTATIONS" - WHERE "segmented_SeriesInstanceUID" = '1.3.6.1.4.1.14519.5.2.1.3671.4754.105976129314091491952445656147' -), -"COUNTS" AS ( - SELECT - "Modality", - COUNT(*) AS "SOP_Instance_Count" - FROM "IDC"."IDC_V17"."DICOM_ALL" - WHERE "SeriesInstanceUID" IN ( - SELECT "SeriesInstanceUID" FROM "TARGET_SERIES" - ) - GROUP BY "Modality" -) -SELECT "Modality", "SOP_Instance_Count" -FROM "COUNTS" -QUALIFY ROW_NUMBER() OVER (ORDER BY "SOP_Instance_Count" DESC, "Modality") = 1 +WITH "TARGET_SERIES" AS + (SELECT '1.3.6.1.4.1.14519.5.2.1.3671.4754.105976129314091491952445656147' AS "SeriesInstanceUID" + UNION SELECT DISTINCT "SeriesInstanceUID" + FROM "IDC"."IDC_V17"."SEGMENTATIONS" + WHERE "segmented_SeriesInstanceUID" = '1.3.6.1.4.1.14519.5.2.1.3671.4754.105976129314091491952445656147'), + "COUNTS" AS + (SELECT "Modality", + COUNT(*) AS "SOP_Instance_Count" + FROM "IDC"."IDC_V17"."DICOM_ALL" + WHERE "SeriesInstanceUID" IN + (SELECT "SeriesInstanceUID" + FROM "TARGET_SERIES") + GROUP BY "Modality") +SELECT "Modality", + "SOP_Instance_Count" +FROM "COUNTS" QUALIFY ROW_NUMBER() OVER ( + ORDER BY "SOP_Instance_Count" DESC, "Modality") = 1 diff --git a/spider2/queries/snow_sf_bq349.sql b/spider2/queries/snow_sf_bq349.sql index 2050930675078c6571454a9a3c59758e0090bc8a..b5f69c263db112d8b8a49632f1498b194526ad6a 100644 --- a/spider2/queries/snow_sf_bq349.sql +++ b/spider2/queries/snow_sf_bq349.sql @@ -1,70 +1,58 @@ -WITH admin_candidates AS ( - SELECT - pf."osm_id", - pf."geometry", - pf."osm_timestamp" - FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES AS pf, - LATERAL FLATTEN(INPUT => pf."all_tags") tag - WHERE pf."feature_type" = 'multipolygons' - AND tag.value:"key"::STRING = 'boundary' - AND LOWER(TRIM(tag.value:"value"::STRING)) = 'administrative' - AND pf."osm_id" IS NOT NULL - AND pf."geometry" IS NOT NULL -), -admin_polygons AS ( - SELECT "osm_id", "geometry" - FROM ( - SELECT ac.*, - ROW_NUMBER() OVER (PARTITION BY ac."osm_id" ORDER BY ac."osm_timestamp" DESC NULLS LAST, ac."osm_id" ASC) AS rn - FROM admin_candidates ac - ) WHERE rn = 1 -), -polygons_geog AS ( - SELECT - "osm_id", - ST_GEOGRAPHYFROMWKB("geometry") AS "geom" - FROM admin_polygons -), -amenity_nodes AS ( - SELECT DISTINCT - pn."id" AS "node_id", - pn."latitude" AS "latitude", - pn."longitude" AS "longitude" - FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_NODES AS pn, - LATERAL FLATTEN(INPUT => pn."all_tags") tag - WHERE tag.value:"key"::STRING = 'amenity' - AND pn."latitude" IS NOT NULL - AND pn."longitude" IS NOT NULL -), -nodes_geog AS ( - SELECT - "node_id", - ST_MAKEPOINT("longitude", "latitude") AS "pt" - FROM amenity_nodes -), -counts_per_polygon AS ( - SELECT - p."osm_id" AS "osm_id", - COALESCE(COUNT(DISTINCT n."node_id"), 0) AS "cnt" - FROM polygons_geog p - LEFT JOIN nodes_geog n - ON ST_DWITHIN(p."geom", n."pt", 0.0) - GROUP BY p."osm_id" -), -median_val AS ( - SELECT - PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY "cnt") AS "median_cnt" - FROM counts_per_polygon -), -distances AS ( - SELECT - c."osm_id", - c."cnt", - ABS(c."cnt" - m."median_cnt") AS "dist" - FROM counts_per_polygon c - CROSS JOIN median_val m -) +WITH admin_candidates AS + (SELECT pf."osm_id", + pf."geometry", + pf."osm_timestamp" + FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_FEATURES AS pf, + LATERAL FLATTEN(INPUT => pf."all_tags") tag + WHERE pf."feature_type" = 'multipolygons' + AND tag.value:"key"::STRING = 'boundary' + AND LOWER(TRIM(tag.value:"value"::STRING)) = 'administrative' + AND pf."osm_id" IS NOT NULL + AND pf."geometry" IS NOT NULL), + admin_polygons AS + (SELECT "osm_id", + "geometry" + FROM + (SELECT ac.*, + ROW_NUMBER() OVER (PARTITION BY ac."osm_id" + ORDER BY ac."osm_timestamp" DESC NULLS LAST, ac."osm_id" ASC) AS rn + FROM admin_candidates ac) + WHERE rn = 1), + polygons_geog AS + (SELECT "osm_id", + ST_GEOGRAPHYFROMWKB("geometry") AS "geom" + FROM admin_polygons), + amenity_nodes AS + (SELECT DISTINCT pn."id" AS "node_id", + pn."latitude" AS "latitude", + pn."longitude" AS "longitude" + FROM GEO_OPENSTREETMAP.GEO_OPENSTREETMAP.PLANET_NODES AS pn, + LATERAL FLATTEN(INPUT => pn."all_tags") tag + WHERE tag.value:"key"::STRING = 'amenity' + AND pn."latitude" IS NOT NULL + AND pn."longitude" IS NOT NULL), + nodes_geog AS + (SELECT "node_id", + ST_MAKEPOINT("longitude", "latitude") AS "pt" + FROM amenity_nodes), + counts_per_polygon AS + (SELECT p."osm_id" AS "osm_id", + COALESCE(COUNT(DISTINCT n."node_id"), 0) AS "cnt" + FROM polygons_geog p + LEFT JOIN nodes_geog n ON ST_DWITHIN(p."geom", n."pt", 0.0) + GROUP BY p."osm_id"), + median_val AS + (SELECT PERCENTILE_CONT(0.5) WITHIN GROUP ( + ORDER BY "cnt") AS "median_cnt" + FROM counts_per_polygon), + distances AS + (SELECT c."osm_id", + c."cnt", + ABS(c."cnt" - m."median_cnt") AS "dist" + FROM counts_per_polygon c + CROSS JOIN median_val m) SELECT "osm_id" FROM distances -ORDER BY "dist" ASC NULLS LAST, "osm_id" ASC +ORDER BY "dist" ASC NULLS LAST, + "osm_id" ASC LIMIT 1; diff --git a/spider2/queries/snow_sf_bq358.sql b/spider2/queries/snow_sf_bq358.sql index 80cbc108f67ea26842add622689a5b11bfab8704..8eddfc7ff689edbc9ccae13b9a2a37063b8ac952 100644 --- a/spider2/queries/snow_sf_bq358.sql +++ b/spider2/queries/snow_sf_bq358.sql @@ -1,29 +1,27 @@ -WITH weather_check AS ( - SELECT "temp" - FROM NEW_YORK_CITIBIKE_1.NOAA_GSOD.GSOD2015 - WHERE "wban" = '94728' - AND "mo" = '07' - AND "da" = '15' -), -nyc_zips AS ( - SELECT "zip_code", TO_GEOGRAPHY("zip_code_geom") AS geom - FROM NEW_YORK_CITIBIKE_1.GEO_US_BOUNDARIES.ZIP_CODES - WHERE "state_code" = 'NY' AND "city" ILIKE '%New York%' -), -jul15_trips AS ( - SELECT - t."bikeid", - ST_POINT(t."start_station_longitude", t."start_station_latitude") AS start_pt, - ST_POINT(t."end_station_longitude", t."end_station_latitude") AS end_pt - FROM NEW_YORK_CITIBIKE_1.NEW_YORK_CITIBIKE.CITIBIKE_TRIPS t - CROSS JOIN weather_check w - WHERE TO_TIMESTAMP(t."starttime" / 1000000)::DATE = '2015-07-15' -) -SELECT - sz."zip_code" AS start_zip, - ez."zip_code" AS end_zip +WITH weather_check AS + (SELECT "temp" + FROM NEW_YORK_CITIBIKE_1.NOAA_GSOD.GSOD2015 + WHERE "wban" = '94728' + AND "mo" = '07' + AND "da" = '15'), + nyc_zips AS + (SELECT "zip_code", + TO_GEOGRAPHY("zip_code_geom") AS geom + FROM NEW_YORK_CITIBIKE_1.GEO_US_BOUNDARIES.ZIP_CODES + WHERE "state_code" = 'NY' + AND "city" ILIKE '%New York%'), + jul15_trips AS + (SELECT t."bikeid", + ST_POINT(t."start_station_longitude", t."start_station_latitude") AS start_pt, + ST_POINT(t."end_station_longitude", t."end_station_latitude") AS end_pt + FROM NEW_YORK_CITIBIKE_1.NEW_YORK_CITIBIKE.CITIBIKE_TRIPS t + CROSS JOIN weather_check w + WHERE TO_TIMESTAMP(t."starttime" / 1000000)::DATE = '2015-07-15') +SELECT sz."zip_code" AS start_zip, + ez."zip_code" AS end_zip FROM jul15_trips jt JOIN nyc_zips sz ON ST_CONTAINS(sz.geom, jt.start_pt) JOIN nyc_zips ez ON ST_CONTAINS(ez.geom, jt.end_pt) -ORDER BY start_zip ASC, end_zip DESC +ORDER BY start_zip ASC, + end_zip DESC LIMIT 1; diff --git a/spider2/queries/snow_sf_bq359.sql b/spider2/queries/snow_sf_bq359.sql index b6b2d5220c5013a4aee5ba58f532cd647905b00e..09df6ab18d0d9a01b52c4d9cda3000e167fd4cd4 100644 --- a/spider2/queries/snow_sf_bq359.sql +++ b/spider2/queries/snow_sf_bq359.sql @@ -1,44 +1,31 @@ -WITH js_flattened AS ( - SELECT - "repo_name", - f.value:"name"::STRING AS "lang", - TRY_CAST(f.value:"bytes"::STRING AS NUMBER) AS "bytes" - FROM GITHUB_REPOS.GITHUB_REPOS.LANGUAGES, - LATERAL FLATTEN(INPUT => "language") f -), -primary_lang AS ( - SELECT - "repo_name", - "lang", - "bytes", - ROW_NUMBER() OVER ( - PARTITION BY "repo_name" - ORDER BY "bytes" DESC NULLS LAST, "lang" ASC - ) AS "rn" - FROM js_flattened -), -js_primary_repos AS ( - SELECT - "repo_name" - FROM primary_lang - WHERE "rn" = 1 - AND LOWER("lang") = 'javascript' -), -commits_agg AS ( - SELECT - "repo_name", - COUNT(DISTINCT "commit") AS "commit_count" - FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_COMMITS - WHERE "repo_name" IS NOT NULL - GROUP BY "repo_name" -) -SELECT - j."repo_name" AS "repo_name", - c."commit_count" AS "commit_count" +WITH js_flattened AS + (SELECT "repo_name", + f.value:"name"::STRING AS "lang", + TRY_CAST(f.value:"bytes"::STRING AS NUMBER) AS "bytes" + FROM GITHUB_REPOS.GITHUB_REPOS.LANGUAGES, + LATERAL FLATTEN(INPUT => "language") f), + primary_lang AS + (SELECT "repo_name", + "lang", + "bytes", + ROW_NUMBER() OVER (PARTITION BY "repo_name" + ORDER BY "bytes" DESC NULLS LAST, "lang" ASC) AS "rn" + FROM js_flattened), + js_primary_repos AS + (SELECT "repo_name" + FROM primary_lang + WHERE "rn" = 1 + AND LOWER("lang") = 'javascript'), + commits_agg AS + (SELECT "repo_name", + COUNT(DISTINCT "commit") AS "commit_count" + FROM GITHUB_REPOS.GITHUB_REPOS.SAMPLE_COMMITS + WHERE "repo_name" IS NOT NULL + GROUP BY "repo_name") +SELECT j."repo_name" AS "repo_name", + c."commit_count" AS "commit_count" FROM js_primary_repos j -JOIN commits_agg c - ON j."repo_name" = c."repo_name" -ORDER BY - c."commit_count" DESC NULLS LAST, - j."repo_name" ASC +JOIN commits_agg c ON j."repo_name" = c."repo_name" +ORDER BY c."commit_count" DESC NULLS LAST, + j."repo_name" ASC LIMIT 2; diff --git a/spider2/queries/snow_sf_bq377.sql b/spider2/queries/snow_sf_bq377.sql index 345bcfdafcb395c1e666d46d454e269db888ac6e..1ca6e6356f6a035ed3702a9a5b1fc78b41566409 100644 --- a/spider2/queries/snow_sf_bq377.sql +++ b/spider2/queries/snow_sf_bq377.sql @@ -1,41 +1,33 @@ -WITH json_content AS ( - SELECT - "content", - "sample_ref", - "sample_path" - FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_CONTENTS" - WHERE "sample_path" ILIKE '%.json' - AND "content" IS NOT NULL - AND "content" != '' -), -parsed_json AS ( - SELECT - "sample_ref", - "sample_path", - TRY_PARSE_JSON("content") AS "parsed_content" - FROM json_content - WHERE TRY_PARSE_JSON("content") IS NOT NULL -), -require_sections AS ( - SELECT - "sample_ref", - "sample_path", - "parsed_content":"require" AS "require_obj" - FROM parsed_json - WHERE "parsed_content":"require" IS NOT NULL -), -flattened_packages AS ( - SELECT - r."sample_ref", - r."sample_path", - f.key::STRING AS "package_name" - FROM require_sections r, - LATERAL FLATTEN(input => r."require_obj") f -) -SELECT - "package_name", - COUNT(*) AS "frequency" +WITH json_content AS + (SELECT "content", + "sample_ref", + "sample_path" + FROM "GITHUB_REPOS"."GITHUB_REPOS"."SAMPLE_CONTENTS" + WHERE "sample_path" ILIKE '%.json' + AND "content" IS NOT NULL + AND "content" != ''), + parsed_json AS + (SELECT "sample_ref", + "sample_path", + TRY_PARSE_JSON("content") AS "parsed_content" + FROM json_content + WHERE TRY_PARSE_JSON("content") IS NOT NULL), + require_sections AS + (SELECT "sample_ref", + "sample_path", + "parsed_content":"require" AS "require_obj" + FROM parsed_json + WHERE "parsed_content":"require" IS NOT NULL), + flattened_packages AS + (SELECT r."sample_ref", + r."sample_path", + f.key::STRING AS "package_name" + FROM require_sections r, + LATERAL FLATTEN(INPUT => r."require_obj") f) +SELECT "package_name", + COUNT(*) AS "frequency" FROM flattened_packages WHERE "package_name" IS NOT NULL GROUP BY "package_name" -ORDER BY "frequency" DESC, "package_name" +ORDER BY "frequency" DESC, + "package_name" diff --git a/spider2/queries/snow_sf_bq390.sql b/spider2/queries/snow_sf_bq390.sql index 2ad9294c9d2a5cd2d3287d9f33ae31e3993bb208..c5b1961c1688d9471c58e242f2108a2bad0a3852 100644 --- a/spider2/queries/snow_sf_bq390.sql +++ b/spider2/queries/snow_sf_bq390.sql @@ -1,9 +1,6 @@ -SELECT DISTINCT - T1."StudyInstanceUID" +SELECT DISTINCT T1."StudyInstanceUID" FROM "IDC"."IDC_V17"."DICOM_ALL" AS T1 -INNER JOIN "IDC"."IDC_V17"."SEGMENTATIONS" AS T2 - ON T1."StudyInstanceUID" = T2."StudyInstanceUID" -WHERE - T1."collection_id" = 'qin_prostate_repeatability' +INNER JOIN "IDC"."IDC_V17"."SEGMENTATIONS" AS T2 ON T1."StudyInstanceUID" = T2."StudyInstanceUID" +WHERE T1."collection_id" = 'qin_prostate_repeatability' AND T1."SeriesDescription" = 'T2 Weighted Axial' AND T2."SegmentedPropertyType":CodeMeaning::STRING = 'Peripheral zone of the prostate' diff --git a/spider2/queries/snow_sf_bq412.sql b/spider2/queries/snow_sf_bq412.sql index 8a8158de9ae409cff7c471c009369b28a0ad1baf..a6e666a49f98cbb667c61b0e1217a1a61f91ef7f 100644 --- a/spider2/queries/snow_sf_bq412.sql +++ b/spider2/queries/snow_sf_bq412.sql @@ -1 +1,37 @@ -WITH parsed_regions AS (SELECT "creative_page_url", value:"first_shown"::STRING AS first_shown_str, value:"last_shown"::STRING AS last_shown_str, value:"times_shown_lower_bound"::NUMBER AS times_shown_lower, value:"times_shown_upper_bound"::NUMBER AS times_shown_upper, value:"region_code"::STRING AS region_code, value:"times_shown_availability_date" AS availability_date FROM GOOGLE_ADS.GOOGLE_ADS_TRANSPARENCY_CENTER.REMOVED_CREATIVE_STATS, LATERAL FLATTEN(INPUT => PARSE_JSON("region_stats"))), filtered_regions AS (SELECT "creative_page_url", TO_TIMESTAMP(first_shown_str) AS "first_shown", TO_TIMESTAMP(last_shown_str) AS "last_shown", times_shown_lower, times_shown_upper FROM parsed_regions WHERE region_code = 'HR' AND availability_date IS NULL AND times_shown_lower > 10000 AND times_shown_upper < 25000) SELECT T1."creative_page_url", T2."first_shown", T2."last_shown", PARSE_JSON(T1."disapproval")[0]:"removal_reason"::STRING AS "removal_reason", PARSE_JSON(T1."disapproval")[0]:"violation_category"::STRING AS "violation_category", T2.times_shown_lower, T2.times_shown_upper FROM GOOGLE_ADS.GOOGLE_ADS_TRANSPARENCY_CENTER.REMOVED_CREATIVE_STATS T1 INNER JOIN filtered_regions T2 ON T1."creative_page_url" = T2."creative_page_url" WHERE (PARSE_JSON(T1."audience_selection_approach_info"):"demographic_info"::STRING != 'CRITERIA_UNUSED' OR PARSE_JSON(T1."audience_selection_approach_info"):"geo_location"::STRING != 'CRITERIA_UNUSED' OR PARSE_JSON(T1."audience_selection_approach_info"):"contextual_signals"::STRING != 'CRITERIA_UNUSED' OR PARSE_JSON(T1."audience_selection_approach_info"):"customer_lists"::STRING != 'CRITERIA_UNUSED' OR PARSE_JSON(T1."audience_selection_approach_info"):"topics_of_interest"::STRING != 'CRITERIA_UNUSED') ORDER BY T2."last_shown" DESC LIMIT 5; +WITH parsed_regions AS + (SELECT "creative_page_url", + value:"first_shown"::STRING AS first_shown_str, + value:"last_shown"::STRING AS last_shown_str, + value:"times_shown_lower_bound"::NUMBER AS times_shown_lower, + value:"times_shown_upper_bound"::NUMBER AS times_shown_upper, + value:"region_code"::STRING AS region_code, + value:"times_shown_availability_date" AS availability_date + FROM GOOGLE_ADS.GOOGLE_ADS_TRANSPARENCY_CENTER.REMOVED_CREATIVE_STATS, + LATERAL FLATTEN(INPUT => PARSE_JSON("region_stats"))), + filtered_regions AS + (SELECT "creative_page_url", + TO_TIMESTAMP(first_shown_str) AS "first_shown", + TO_TIMESTAMP(last_shown_str) AS "last_shown", + times_shown_lower, + times_shown_upper + FROM parsed_regions + WHERE region_code = 'HR' + AND availability_date IS NULL + AND times_shown_lower > 10000 + AND times_shown_upper < 25000) +SELECT T1."creative_page_url", + T2."first_shown", + T2."last_shown", + PARSE_JSON(T1."disapproval")[0]:"removal_reason"::STRING AS "removal_reason", + PARSE_JSON(T1."disapproval")[0]:"violation_category"::STRING AS "violation_category", + T2.times_shown_lower, + T2.times_shown_upper +FROM GOOGLE_ADS.GOOGLE_ADS_TRANSPARENCY_CENTER.REMOVED_CREATIVE_STATS T1 +INNER JOIN filtered_regions T2 ON T1."creative_page_url" = T2."creative_page_url" +WHERE (PARSE_JSON(T1."audience_selection_approach_info"):"demographic_info"::STRING != 'CRITERIA_UNUSED' + OR PARSE_JSON(T1."audience_selection_approach_info"):"geo_location"::STRING != 'CRITERIA_UNUSED' + OR PARSE_JSON(T1."audience_selection_approach_info"):"contextual_signals"::STRING != 'CRITERIA_UNUSED' + OR PARSE_JSON(T1."audience_selection_approach_info"):"customer_lists"::STRING != 'CRITERIA_UNUSED' + OR PARSE_JSON(T1."audience_selection_approach_info"):"topics_of_interest"::STRING != 'CRITERIA_UNUSED') +ORDER BY T2."last_shown" DESC +LIMIT 5; diff --git a/spider2/queries/snow_sf_bq421.sql b/spider2/queries/snow_sf_bq421.sql index bd4bb8265af1b073d5b0d52c6a864c96b2f5a52c..4c6d0e61f0740cf4449f4d8c7f9d6b50c18964ab 100644 --- a/spider2/queries/snow_sf_bq421.sql +++ b/spider2/queries/snow_sf_bq421.sql @@ -1,66 +1,47 @@ -WITH - SpecimenPreparationSequence_unnested AS ( - SELECT - d."SOPInstanceUID", - concept_name_code_sequence.value:"CodeMeaning"::STRING AS "cnc_cm", - concept_name_code_sequence.value:"CodingSchemeDesignator"::STRING AS "cnc_csd", - concept_name_code_sequence.value:"CodeValue"::STRING AS "cnc_val", - concept_code_sequence.value:"CodeMeaning"::STRING AS "ccs_cm", - concept_code_sequence.value:"CodingSchemeDesignator"::STRING AS "ccs_csd", - concept_code_sequence.value:"CodeValue"::STRING AS "ccs_val" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS d, - LATERAL FLATTEN(input => d."SpecimenDescriptionSequence") AS spec_desc, - LATERAL FLATTEN(input => spec_desc.value:"SpecimenPreparationSequence") AS prep_seq, - LATERAL FLATTEN(input => prep_seq.value:"SpecimenPreparationStepContentItemSequence") AS prep_step, - LATERAL FLATTEN(input => prep_step.value:"ConceptNameCodeSequence") AS concept_name_code_sequence, - LATERAL FLATTEN(input => prep_step.value:"ConceptCodeSequence") AS concept_code_sequence - ), - slide_embedding AS ( - SELECT - "SOPInstanceUID", - ARRAY_AGG(DISTINCT(CONCAT("ccs_cm", ':', "ccs_csd", ':', "ccs_val"))) AS "embeddingMedium_code_str" - FROM - SpecimenPreparationSequence_unnested - WHERE - "cnc_csd" = 'SCT' AND "cnc_val" = '430863003' -- CodeMeaning is 'Embedding medium' - GROUP BY - "SOPInstanceUID" - ), - slide_staining AS ( - SELECT - "SOPInstanceUID", - ARRAY_AGG(DISTINCT(CONCAT("ccs_cm", ':', "ccs_csd", ':', "ccs_val"))) AS "staining_usingSubstance_code_str" - FROM - SpecimenPreparationSequence_unnested - WHERE - "cnc_csd" = 'SCT' AND "cnc_val" = '424361007' -- CodeMeaning is 'Using substance' - GROUP BY - "SOPInstanceUID" - ), - embedding_data AS ( - SELECT - d."SOPInstanceUID", - d."instance_size", - e."embeddingMedium_code_str", - s."staining_usingSubstance_code_str" - FROM - "IDC"."IDC_V17"."DICOM_ALL" AS d - LEFT JOIN - slide_embedding AS e ON d."SOPInstanceUID" = e."SOPInstanceUID" - LEFT JOIN - slide_staining AS s ON d."SOPInstanceUID" = s."SOPInstanceUID" - WHERE - d."Modality" = 'SM' - ) -SELECT - SPLIT_PART(embeddingMedium_CodeMeaning_flat.VALUE::STRING, ':', 1) AS "embeddingMedium_CodeMeaning", - SPLIT_PART(staining_usingSubstance_CodeMeaning_flat.VALUE::STRING, ':', 1) AS "staining_usingSubstance_CodeMeaning", - COUNT(*) AS "count_" -FROM - embedding_data - , LATERAL FLATTEN(input => embedding_data."embeddingMedium_code_str") AS embeddingMedium_CodeMeaning_flat - , LATERAL FLATTEN(input => embedding_data."staining_usingSubstance_code_str") AS staining_usingSubstance_CodeMeaning_flat -GROUP BY - SPLIT_PART(embeddingMedium_CodeMeaning_flat.VALUE::STRING, ':', 1), - SPLIT_PART(staining_usingSubstance_CodeMeaning_flat.VALUE::STRING, ':', 1); +WITH SpecimenPreparationSequence_unnested AS + (SELECT d."SOPInstanceUID", + concept_name_code_sequence.value:"CodeMeaning"::STRING AS "cnc_cm", + concept_name_code_sequence.value:"CodingSchemeDesignator"::STRING AS "cnc_csd", + concept_name_code_sequence.value:"CodeValue"::STRING AS "cnc_val", + concept_code_sequence.value:"CodeMeaning"::STRING AS "ccs_cm", + concept_code_sequence.value:"CodingSchemeDesignator"::STRING AS "ccs_csd", + concept_code_sequence.value:"CodeValue"::STRING AS "ccs_val" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS d, + LATERAL FLATTEN(INPUT => d."SpecimenDescriptionSequence") AS spec_desc, + LATERAL FLATTEN(INPUT => spec_desc.value:"SpecimenPreparationSequence") AS prep_seq, + LATERAL FLATTEN(INPUT => prep_seq.value:"SpecimenPreparationStepContentItemSequence") AS prep_step, + LATERAL FLATTEN(INPUT => prep_step.value:"ConceptNameCodeSequence") AS concept_name_code_sequence, + LATERAL FLATTEN(INPUT => prep_step.value:"ConceptCodeSequence") AS concept_code_sequence), + slide_embedding AS + (SELECT "SOPInstanceUID", + ARRAY_AGG(DISTINCT(CONCAT("ccs_cm", ':', "ccs_csd", ':', "ccs_val"))) AS "embeddingMedium_code_str" + FROM SpecimenPreparationSequence_unnested + WHERE "cnc_csd" = 'SCT' + AND "cnc_val" = '430863003' -- CodeMeaning is 'Embedding medium' + + GROUP BY "SOPInstanceUID"), + slide_staining AS + (SELECT "SOPInstanceUID", + ARRAY_AGG(DISTINCT(CONCAT("ccs_cm", ':', "ccs_csd", ':', "ccs_val"))) AS "staining_usingSubstance_code_str" + FROM SpecimenPreparationSequence_unnested + WHERE "cnc_csd" = 'SCT' + AND "cnc_val" = '424361007' -- CodeMeaning is 'Using substance' + + GROUP BY "SOPInstanceUID"), + embedding_data AS + (SELECT d."SOPInstanceUID", + d."instance_size", + e."embeddingMedium_code_str", + s."staining_usingSubstance_code_str" + FROM "IDC"."IDC_V17"."DICOM_ALL" AS d + LEFT JOIN slide_embedding AS e ON d."SOPInstanceUID" = e."SOPInstanceUID" + LEFT JOIN slide_staining AS s ON d."SOPInstanceUID" = s."SOPInstanceUID" + WHERE d."Modality" = 'SM') +SELECT SPLIT_PART(embeddingMedium_CodeMeaning_flat.VALUE::STRING, ':', 1) AS "embeddingMedium_CodeMeaning", + SPLIT_PART(staining_usingSubstance_CodeMeaning_flat.VALUE::STRING, ':', 1) AS "staining_usingSubstance_CodeMeaning", + COUNT(*) AS "count_" +FROM embedding_data , + LATERAL FLATTEN(INPUT => embedding_data."embeddingMedium_code_str") AS embeddingMedium_CodeMeaning_flat , + LATERAL FLATTEN(INPUT => embedding_data."staining_usingSubstance_code_str") AS staining_usingSubstance_CodeMeaning_flat +GROUP BY SPLIT_PART(embeddingMedium_CodeMeaning_flat.VALUE::STRING, ':', 1), + SPLIT_PART(staining_usingSubstance_CodeMeaning_flat.VALUE::STRING, ':', 1); diff --git a/spider2/queries/snow_sf_bq422.sql b/spider2/queries/snow_sf_bq422.sql index bbbcc00cc0cb3f01dba5c19dc5de723f40232c56..40883213b3f97ceecfce5f10c136befe7fbd1e29 100644 --- a/spider2/queries/snow_sf_bq422.sql +++ b/spider2/queries/snow_sf_bq422.sql @@ -1,66 +1,53 @@ -WITH f AS ( - SELECT - "PatientID", - "SeriesInstanceUID", - "instance_size", - "SpacingBetweenSlices", - "SliceThickness", - "Exposure", - "ExposureInmAs", - "Modality", - "collection_name" - FROM "IDC"."IDC_V17"."DICOM_ALL" - WHERE UPPER("collection_name") = 'NLST' - AND "Modality" = 'CT' -), -series_sizes AS ( - SELECT - "PatientID", - "SeriesInstanceUID", - SUM(COALESCE("instance_size", 0))::FLOAT / (1024 * 1024) AS series_size_mib - FROM f - GROUP BY "PatientID", "SeriesInstanceUID" -), -patient_slice_intervals AS ( - SELECT DISTINCT - "PatientID", - COALESCE(TRY_TO_DECIMAL("SpacingBetweenSlices"), TRY_TO_DECIMAL("SliceThickness")) AS slice_interval - FROM f - WHERE COALESCE(TRY_TO_DECIMAL("SpacingBetweenSlices"), TRY_TO_DECIMAL("SliceThickness")) IS NOT NULL -), -patient_slice_diff AS ( - SELECT - "PatientID", - MAX(slice_interval) - MIN(slice_interval) AS slice_diff - FROM patient_slice_intervals - GROUP BY "PatientID" -), -top3_by_slice AS ( - SELECT "PatientID" - FROM patient_slice_diff - ORDER BY slice_diff DESC NULLS LAST - LIMIT 3 -), -patient_exposure_values AS ( - SELECT DISTINCT - "PatientID", - COALESCE(CAST("ExposureInmAs" AS FLOAT), CAST(TRY_TO_DECIMAL("Exposure") AS FLOAT)) AS exposure_val - FROM f - WHERE COALESCE(CAST("ExposureInmAs" AS FLOAT), CAST(TRY_TO_DECIMAL("Exposure") AS FLOAT)) IS NOT NULL -), -patient_exposure_diff AS ( - SELECT - "PatientID", - MAX(exposure_val) - MIN(exposure_val) AS exp_diff - FROM patient_exposure_values - GROUP BY "PatientID" -), -top3_by_exposure AS ( - SELECT "PatientID" - FROM patient_exposure_diff - ORDER BY exp_diff DESC NULLS LAST - LIMIT 3 -) +WITH f AS + (SELECT "PatientID", + "SeriesInstanceUID", + "instance_size", + "SpacingBetweenSlices", + "SliceThickness", + "Exposure", + "ExposureInmAs", + "Modality", + "collection_name" + FROM "IDC"."IDC_V17"."DICOM_ALL" + WHERE UPPER("collection_name") = 'NLST' + AND "Modality" = 'CT'), + series_sizes AS + (SELECT "PatientID", + "SeriesInstanceUID", + SUM(COALESCE("instance_size", 0))::FLOAT / (1024 * 1024) AS series_size_mib + FROM f + GROUP BY "PatientID", + "SeriesInstanceUID"), + patient_slice_intervals AS + (SELECT DISTINCT "PatientID", + COALESCE(TRY_TO_DECIMAL("SpacingBetweenSlices"), TRY_TO_DECIMAL("SliceThickness")) AS slice_interval + FROM f + WHERE COALESCE(TRY_TO_DECIMAL("SpacingBetweenSlices"), TRY_TO_DECIMAL("SliceThickness")) IS NOT NULL), + patient_slice_diff AS + (SELECT "PatientID", + MAX(slice_interval) - MIN(slice_interval) AS slice_diff + FROM patient_slice_intervals + GROUP BY "PatientID"), + top3_by_slice AS + (SELECT "PatientID" + FROM patient_slice_diff + ORDER BY slice_diff DESC NULLS LAST + LIMIT 3), + patient_exposure_values AS + (SELECT DISTINCT "PatientID", + COALESCE(CAST("ExposureInmAs" AS FLOAT), CAST(TRY_TO_DECIMAL("Exposure") AS FLOAT)) AS exposure_val + FROM f + WHERE COALESCE(CAST("ExposureInmAs" AS FLOAT), CAST(TRY_TO_DECIMAL("Exposure") AS FLOAT)) IS NOT NULL), + patient_exposure_diff AS + (SELECT "PatientID", + MAX(exposure_val) - MIN(exposure_val) AS exp_diff + FROM patient_exposure_values + GROUP BY "PatientID"), + top3_by_exposure AS + (SELECT "PatientID" + FROM patient_exposure_diff + ORDER BY exp_diff DESC NULLS LAST + LIMIT 3) SELECT 'Top 3 by Slice Interval' AS "Label", AVG(s.series_size_mib) AS "Average Series Size MiB" FROM series_sizes s diff --git a/spider2/queries/snow_sf_bq429.sql b/spider2/queries/snow_sf_bq429.sql index fa64aeba9e585d7cf17d59479eda6e67a7e8642c..5da0d7bc2e21190f9e71890f76954b1ad249160c 100644 --- a/spider2/queries/snow_sf_bq429.sql +++ b/spider2/queries/snow_sf_bq429.sql @@ -1,44 +1,30 @@ -WITH income_diff_by_zip AS ( - SELECT - T1."geo_id", - ABS(T2."median_income" - T1."median_income") AS income_difference - FROM "CENSUS_BUREAU_ACS_2"."CENSUS_BUREAU_ACS"."ZCTA5_2015_5YR" AS T1 - JOIN "CENSUS_BUREAU_ACS_2"."CENSUS_BUREAU_ACS"."ZCTA5_2018_5YR" AS T2 - ON T1."geo_id" = T2."geo_id" - WHERE T1."median_income" IS NOT NULL AND T2."median_income" IS NOT NULL -), -vulnerable_pop_by_zip AS ( - SELECT - "geo_id", - ("employed_wholesale_trade" * 0.38423645320197042 + - ("employed_agriculture_forestry_fishing_hunting_mining" + "employed_construction") * 0.48071410777129553 + - "employed_arts_entertainment_recreation_accommodation_food" * 0.89455676291236841 + - "employed_information" * 0.31315240083507306 + - "employed_retail_trade" * 0.51) AS vulnerable_employees - FROM "CENSUS_BUREAU_ACS_2"."CENSUS_BUREAU_ACS"."ZCTA5_2017_5YR" - WHERE - "employed_wholesale_trade" IS NOT NULL AND - "employed_agriculture_forestry_fishing_hunting_mining" IS NOT NULL AND - "employed_construction" IS NOT NULL AND - "employed_arts_entertainment_recreation_accommodation_food" IS NOT NULL AND - "employed_information" IS NOT NULL AND - "employed_retail_trade" IS NOT NULL -), -joined_data AS ( - SELECT - T3."state_name", - T1.income_difference, - T2.vulnerable_employees - FROM income_diff_by_zip AS T1 - JOIN vulnerable_pop_by_zip AS T2 - ON T1."geo_id" = T2."geo_id" - JOIN "CENSUS_BUREAU_ACS_2"."GEO_US_BOUNDARIES"."ZIP_CODES" AS T3 - ON T1."geo_id" = T3."zip_code" -) -SELECT - "state_name", - AVG(income_difference) AS avg_income_diff, - AVG(vulnerable_employees) AS avg_vulnerable_employees +WITH income_diff_by_zip AS + (SELECT T1."geo_id", + ABS(T2."median_income" - T1."median_income") AS income_difference + FROM "CENSUS_BUREAU_ACS_2"."CENSUS_BUREAU_ACS"."ZCTA5_2015_5YR" AS T1 + JOIN "CENSUS_BUREAU_ACS_2"."CENSUS_BUREAU_ACS"."ZCTA5_2018_5YR" AS T2 ON T1."geo_id" = T2."geo_id" + WHERE T1."median_income" IS NOT NULL + AND T2."median_income" IS NOT NULL), + vulnerable_pop_by_zip AS + (SELECT "geo_id", + ("employed_wholesale_trade" * 0.38423645320197042 + ("employed_agriculture_forestry_fishing_hunting_mining" + "employed_construction") * 0.48071410777129553 + "employed_arts_entertainment_recreation_accommodation_food" * 0.89455676291236841 + "employed_information" * 0.31315240083507306 + "employed_retail_trade" * 0.51) AS vulnerable_employees + FROM "CENSUS_BUREAU_ACS_2"."CENSUS_BUREAU_ACS"."ZCTA5_2017_5YR" + WHERE "employed_wholesale_trade" IS NOT NULL + AND "employed_agriculture_forestry_fishing_hunting_mining" IS NOT NULL + AND "employed_construction" IS NOT NULL + AND "employed_arts_entertainment_recreation_accommodation_food" IS NOT NULL + AND "employed_information" IS NOT NULL + AND "employed_retail_trade" IS NOT NULL), + joined_data AS + (SELECT T3."state_name", + T1.income_difference, + T2.vulnerable_employees + FROM income_diff_by_zip AS T1 + JOIN vulnerable_pop_by_zip AS T2 ON T1."geo_id" = T2."geo_id" + JOIN "CENSUS_BUREAU_ACS_2"."GEO_US_BOUNDARIES"."ZIP_CODES" AS T3 ON T1."geo_id" = T3."zip_code") +SELECT "state_name", + AVG(income_difference) AS avg_income_diff, + AVG(vulnerable_employees) AS avg_vulnerable_employees FROM joined_data GROUP BY "state_name" ORDER BY avg_income_diff DESC diff --git a/spider2/queries/snow_sf_bq444.sql b/spider2/queries/snow_sf_bq444.sql index 5d3aad2cfa9ff095339544092cee27e793991909..6c8c78ab938ad288290198c93e639ef979cc6840 100644 --- a/spider2/queries/snow_sf_bq444.sql +++ b/spider2/queries/snow_sf_bq444.sql @@ -1,37 +1,30 @@ -WITH events AS ( - SELECT - CASE - WHEN "topics"[0]::STRING = '0x7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde' THEN 'MINT' - ELSE 'BURN' - END AS "event_type", - "block_timestamp", - "block_number", - "transaction_hash", - "log_index" - FROM "CRYPTO"."CRYPTO_ETHEREUM"."LOGS" - WHERE LOWER("address") = '0x8ad599c3a0ff1de082011efddc58f1908eb6e6d8' - AND "topics"[0]::STRING IN ( - '0x7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde', - '0x0c396cd989a39f4459b5fa1aed6a9a8dcdbc45908acfd67e028cd568da98982c' - ) -), -ranked_events AS ( - SELECT - "event_type", - "block_timestamp", - "block_number", - "transaction_hash", - ROW_NUMBER() OVER ( - PARTITION BY "event_type" - ORDER BY "block_timestamp", "block_number", "log_index" - ) AS "rn" - FROM events -) -SELECT - "event_type", - TO_TIMESTAMP_NTZ("block_timestamp" / 1000000) AS "block_timestamp", - "block_number", - "transaction_hash" +WITH EVENTS AS + (SELECT CASE + WHEN "topics"[0]::STRING = '0x7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde' THEN 'MINT' + ELSE 'BURN' + END AS "event_type", + "block_timestamp", + "block_number", + "transaction_hash", + "log_index" + FROM "CRYPTO"."CRYPTO_ETHEREUM"."LOGS" + WHERE LOWER("address") = '0x8ad599c3a0ff1de082011efddc58f1908eb6e6d8' + AND "topics"[0]::STRING IN ('0x7a53080ba414158be7ec69b987b5fb7d07dee101fe85488f0853ae16239d0bde', + '0x0c396cd989a39f4459b5fa1aed6a9a8dcdbc45908acfd67e028cd568da98982c')), ranked_events AS + (SELECT "event_type", + "block_timestamp", + "block_number", + "transaction_hash", + ROW_NUMBER() OVER (PARTITION BY "event_type" + ORDER BY "block_timestamp", "block_number", "log_index") AS "rn" + FROM EVENTS) +SELECT "event_type", + TO_TIMESTAMP_NTZ("block_timestamp" / 1000000) AS "block_timestamp", + "block_number", + "transaction_hash" FROM ranked_events WHERE "rn" <= 5 -ORDER BY "block_timestamp", "block_number", "event_type", "transaction_hash" +ORDER BY "block_timestamp", + "block_number", + "event_type", + "transaction_hash" diff --git a/spider2/queries/snow_sf_bq455.sql b/spider2/queries/snow_sf_bq455.sql index c8772e5b5fe6559f20a3f16f9eb428a79ebdab2a..bc3095d6f137002d3a55385505ec747957aca457 100644 --- a/spider2/queries/snow_sf_bq455.sql +++ b/spider2/queries/snow_sf_bq455.sql @@ -1,52 +1,51 @@ -SELECT - sm."SeriesInstanceUID", - sm."SeriesNumber", - sm."PatientID", - sm."series_size_mib" -FROM ( - SELECT - wd."SeriesInstanceUID", - MIN(wd."SeriesNumber") AS "SeriesNumber", - MIN(wd."PatientID") AS "PatientID", - SUM(wd."instance_size") / 1048576.0 AS "series_size_mib", - COUNT(*) AS "image_count", - COUNT(DISTINCT wd."pos_z_r") AS "unique_z_count", - COUNT(DISTINCT wd."pos_xy_key") AS "unique_xy_count", - COUNT(DISTINCT wd."ps_row_r") AS "ps_row_count", - COUNT(DISTINCT wd."ps_col_r") AS "ps_col_count", - COUNT(DISTINCT wd."Rows") AS "rows_count", - COUNT(DISTINCT wd."Columns") AS "cols_count", - COUNT(DISTINCT wd."orientation_raw") AS "orientation_count", - COUNT(DISTINCT wd."exposure_inmas_r") AS "exposure_inmas_count", - COUNT(DISTINCT wd."exposure_r") AS "exposure_count", - COUNT(DISTINCT wd."tube_current_r") AS "tube_current_count", - COUNT(DISTINCT CASE WHEN wd."z_diff" IS NOT NULL THEN wd."z_diff" END) AS "distinct_z_diff_count", - MIN(wd."z_diff") AS "min_z_diff", - MAX(wd."z_diff") AS "max_z_diff", - MIN(wd."cross_z") AS "min_cross_z", - MAX(wd."cross_z") AS "max_cross_z" - FROM ( - SELECT - f."SeriesInstanceUID", - f."SeriesNumber", - f."PatientID", - f."instance_size", - CONCAT(TO_VARCHAR(f."pos_x_r"), '|', TO_VARCHAR(f."pos_y_r")) AS "pos_xy_key", - f."pos_z", - f."pos_z_r", - f."ps_row_r", - f."ps_col_r", - f."Rows", - f."Columns", - f."orientation_raw", - f."exposure_inmas_r", - f."exposure_r", - f."tube_current_r", - f."cross_z", - ROUND(ABS(LEAD(f."pos_z") OVER (PARTITION BY f."SeriesInstanceUID" ORDER BY f."pos_z") - f."pos_z"), 5) AS "z_diff" - FROM ( - SELECT - da."SeriesInstanceUID", +SELECT sm."SeriesInstanceUID", + sm."SeriesNumber", + sm."PatientID", + sm."series_size_mib" +FROM + (SELECT wd."SeriesInstanceUID", + MIN(wd."SeriesNumber") AS "SeriesNumber", + MIN(wd."PatientID") AS "PatientID", + SUM(wd."instance_size") / 1048576.0 AS "series_size_mib", + COUNT(*) AS "image_count", + COUNT(DISTINCT wd."pos_z_r") AS "unique_z_count", + COUNT(DISTINCT wd."pos_xy_key") AS "unique_xy_count", + COUNT(DISTINCT wd."ps_row_r") AS "ps_row_count", + COUNT(DISTINCT wd."ps_col_r") AS "ps_col_count", + COUNT(DISTINCT wd."Rows") AS "rows_count", + COUNT(DISTINCT wd."Columns") AS "cols_count", + COUNT(DISTINCT wd."orientation_raw") AS "orientation_count", + COUNT(DISTINCT wd."exposure_inmas_r") AS "exposure_inmas_count", + COUNT(DISTINCT wd."exposure_r") AS "exposure_count", + COUNT(DISTINCT wd."tube_current_r") AS "tube_current_count", + COUNT(DISTINCT CASE + WHEN wd."z_diff" IS NOT NULL THEN wd."z_diff" + END) AS "distinct_z_diff_count", + MIN(wd."z_diff") AS "min_z_diff", + MAX(wd."z_diff") AS "max_z_diff", + MIN(wd."cross_z") AS "min_cross_z", + MAX(wd."cross_z") AS "max_cross_z" + FROM + (SELECT f."SeriesInstanceUID", + f."SeriesNumber", + f."PatientID", + f."instance_size", + CONCAT(TO_VARCHAR(f."pos_x_r"), '|', TO_VARCHAR(f."pos_y_r")) AS "pos_xy_key", + f."pos_z", + f."pos_z_r", + f."ps_row_r", + f."ps_col_r", + f."Rows", + f."Columns", + f."orientation_raw", + f."exposure_inmas_r", + f."exposure_r", + f."tube_current_r", + f."cross_z", + ROUND(ABS(LEAD(f."pos_z") OVER (PARTITION BY f."SeriesInstanceUID" + ORDER BY f."pos_z") - f."pos_z"), 5) AS "z_diff" + FROM + (SELECT da."SeriesInstanceUID", da."SeriesNumber", da."PatientID", da."instance_size", @@ -62,32 +61,29 @@ FROM ( ROUND(TRY_TO_DOUBLE(da."ExposureInmAs"::STRING), 4) AS "exposure_inmas_r", ROUND(TRY_TO_DOUBLE(da."Exposure"::STRING), 4) AS "exposure_r", ROUND(TRY_TO_DOUBLE(da."XRayTubeCurrentInmA"::STRING), 4) AS "tube_current_r", - TRY_TO_DOUBLE(da."ImageOrientationPatient"[0]::STRING) * TRY_TO_DOUBLE(da."ImageOrientationPatient"[4]::STRING) - - TRY_TO_DOUBLE(da."ImageOrientationPatient"[1]::STRING) * TRY_TO_DOUBLE(da."ImageOrientationPatient"[3]::STRING) AS "cross_z" - FROM "IDC"."IDC_V17"."DICOM_ALL" da - WHERE NVL(UPPER(da."collection_name"), '') != 'NLST' - AND da."Modality" = 'CT' - AND da."TransferSyntaxUID" NOT IN ('1.2.840.10008.1.2.4.70', '1.2.840.10008.1.2.4.51') - AND NOT (UPPER(TO_VARCHAR(da."ImageType")) LIKE '%LOCALIZER%') - AND da."SeriesInstanceUID" IS NOT NULL - AND da."SeriesNumber" IS NOT NULL - AND da."PatientID" IS NOT NULL - AND da."ImagePositionPatient" IS NOT NULL - AND da."ImageOrientationPatient" IS NOT NULL - AND da."PixelSpacing" IS NOT NULL - AND TRY_TO_DOUBLE(da."ImagePositionPatient"[0]::STRING) IS NOT NULL - AND TRY_TO_DOUBLE(da."ImagePositionPatient"[1]::STRING) IS NOT NULL - AND TRY_TO_DOUBLE(da."ImagePositionPatient"[2]::STRING) IS NOT NULL - AND TRY_TO_DOUBLE(da."PixelSpacing"[0]::STRING) IS NOT NULL - AND TRY_TO_DOUBLE(da."PixelSpacing"[1]::STRING) IS NOT NULL - AND TRY_TO_DOUBLE(da."ImageOrientationPatient"[0]::STRING) IS NOT NULL - AND TRY_TO_DOUBLE(da."ImageOrientationPatient"[1]::STRING) IS NOT NULL - AND TRY_TO_DOUBLE(da."ImageOrientationPatient"[3]::STRING) IS NOT NULL - AND TRY_TO_DOUBLE(da."ImageOrientationPatient"[4]::STRING) IS NOT NULL - ) f - ) wd - GROUP BY wd."SeriesInstanceUID" -) sm + TRY_TO_DOUBLE(da."ImageOrientationPatient"[0]::STRING) * TRY_TO_DOUBLE(da."ImageOrientationPatient"[4]::STRING) - TRY_TO_DOUBLE(da."ImageOrientationPatient"[1]::STRING) * TRY_TO_DOUBLE(da."ImageOrientationPatient"[3]::STRING) AS "cross_z" + FROM "IDC"."IDC_V17"."DICOM_ALL" da + WHERE NVL(UPPER(da."collection_name"), '') != 'NLST' + AND da."Modality" = 'CT' + AND da."TransferSyntaxUID" NOT IN ('1.2.840.10008.1.2.4.70', + '1.2.840.10008.1.2.4.51') + AND NOT (UPPER(TO_VARCHAR(da."ImageType")) LIKE '%LOCALIZER%') + AND da."SeriesInstanceUID" IS NOT NULL + AND da."SeriesNumber" IS NOT NULL + AND da."PatientID" IS NOT NULL + AND da."ImagePositionPatient" IS NOT NULL + AND da."ImageOrientationPatient" IS NOT NULL + AND da."PixelSpacing" IS NOT NULL + AND TRY_TO_DOUBLE(da."ImagePositionPatient"[0]::STRING) IS NOT NULL + AND TRY_TO_DOUBLE(da."ImagePositionPatient"[1]::STRING) IS NOT NULL + AND TRY_TO_DOUBLE(da."ImagePositionPatient"[2]::STRING) IS NOT NULL + AND TRY_TO_DOUBLE(da."PixelSpacing"[0]::STRING) IS NOT NULL + AND TRY_TO_DOUBLE(da."PixelSpacing"[1]::STRING) IS NOT NULL + AND TRY_TO_DOUBLE(da."ImageOrientationPatient"[0]::STRING) IS NOT NULL + AND TRY_TO_DOUBLE(da."ImageOrientationPatient"[1]::STRING) IS NOT NULL + AND TRY_TO_DOUBLE(da."ImageOrientationPatient"[3]::STRING) IS NOT NULL + AND TRY_TO_DOUBLE(da."ImageOrientationPatient"[4]::STRING) IS NOT NULL) f) wd + GROUP BY wd."SeriesInstanceUID") sm WHERE sm."image_count" = sm."unique_z_count" AND sm."unique_xy_count" = 1 AND sm."ps_row_count" = 1 @@ -96,7 +92,8 @@ WHERE sm."image_count" = sm."unique_z_count" AND sm."cols_count" = 1 AND sm."orientation_count" = 1 AND sm."distinct_z_diff_count" <= 1 - AND (sm."distinct_z_diff_count" = 0 OR sm."min_z_diff" = sm."max_z_diff") + AND (sm."distinct_z_diff_count" = 0 + OR sm."min_z_diff" = sm."max_z_diff") AND sm."exposure_inmas_count" <= 1 AND sm."exposure_count" <= 1 AND sm."tube_current_count" <= 1 diff --git a/spider2/queries/snow_sf_ga001.sql b/spider2/queries/snow_sf_ga001.sql index 3b280bb7b55a203a6c0b97f5dcacab33312a5959..797a36128fa7600750cfcee4e180565ba84f0625 100644 --- a/spider2/queries/snow_sf_ga001.sql +++ b/spider2/queries/snow_sf_ga001.sql @@ -1,59 +1,177 @@ -WITH "events_dec" AS ( - SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201201" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201202" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201203" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201204" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201205" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201206" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201207" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201208" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201209" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201210" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201211" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201212" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201213" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201214" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201215" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201216" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201217" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201218" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201219" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201220" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201221" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201222" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201223" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201224" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201225" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201226" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201227" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201228" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201229" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201230" - UNION ALL SELECT "EVENT_NAME","EVENT_DATE","ECOMMERCE","ITEMS" FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201231" -), -"purchase_items" AS ( - SELECT - ("ECOMMERCE":"transaction_id")::string AS "TRANSACTION_ID", - f.value:"item_id"::string AS "ITEM_ID", - f.value:"item_name"::string AS "ITEM_NAME", - COALESCE(f.value:"quantity"::number, 1) AS "QUANTITY" - FROM "events_dec" e, - LATERAL FLATTEN(input => e."ITEMS") f - WHERE e."EVENT_NAME" = 'purchase' - AND ("ECOMMERCE":"transaction_id") IS NOT NULL - AND ("ECOMMERCE":"transaction_id")::string != '(not set)' -), -"tx_with_target" AS ( - SELECT DISTINCT "TRANSACTION_ID" - FROM "purchase_items" - WHERE UPPER("ITEM_NAME") = 'GOOGLE NAVY SPECKLED TEE' -) -SELECT - p."ITEM_NAME" AS "OTHER_PRODUCT_NAME", - SUM(p."QUANTITY") AS "TOTAL_QUANTITY_ALONGSIDE" +WITH "events_dec" AS + (SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201201" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201202" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201203" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201204" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201205" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201206" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201207" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201208" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201209" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201210" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201211" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201212" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201213" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201214" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201215" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201216" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201217" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201218" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201219" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201220" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201221" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201222" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201223" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201224" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201225" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201226" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201227" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201228" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201229" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201230" + UNION ALL SELECT "EVENT_NAME", + "EVENT_DATE", + "ECOMMERCE", + "ITEMS" + FROM "GA4"."GA4_OBFUSCATED_SAMPLE_ECOMMERCE"."EVENTS_20201231"), + "purchase_items" AS + (SELECT ("ECOMMERCE":"transaction_id")::string AS "TRANSACTION_ID", + f.value:"item_id"::string AS "ITEM_ID", + f.value:"item_name"::string AS "ITEM_NAME", + COALESCE(f.value:"quantity"::number, 1) AS "QUANTITY" + FROM "events_dec" e, + LATERAL FLATTEN(INPUT => e."ITEMS") f + WHERE e."EVENT_NAME" = 'purchase' + AND ("ECOMMERCE":"transaction_id") IS NOT NULL + AND ("ECOMMERCE":"transaction_id")::string != '(not set)'), + "tx_with_target" AS + (SELECT DISTINCT "TRANSACTION_ID" + FROM "purchase_items" + WHERE UPPER("ITEM_NAME") = 'GOOGLE NAVY SPECKLED TEE') +SELECT p."ITEM_NAME" AS "OTHER_PRODUCT_NAME", + SUM(p."QUANTITY") AS "TOTAL_QUANTITY_ALONGSIDE" FROM "purchase_items" p -JOIN "tx_with_target" t - ON p."TRANSACTION_ID" = t."TRANSACTION_ID" +JOIN "tx_with_target" t ON p."TRANSACTION_ID" = t."TRANSACTION_ID" WHERE UPPER(p."ITEM_NAME") != 'GOOGLE NAVY SPECKLED TEE' GROUP BY p."ITEM_NAME" ORDER BY SUM(p."QUANTITY") DESC, p."ITEM_NAME" ASC diff --git a/spider2/queries/snow_sf_local003.sql b/spider2/queries/snow_sf_local003.sql index 3dadcf3c0784a4fc7abf35f70a8bdb51ae6645af..d1cd444a0cf5e04c0decba7f7690520334cc1386 100644 --- a/spider2/queries/snow_sf_local003.sql +++ b/spider2/queries/snow_sf_local003.sql @@ -1,60 +1,71 @@ -WITH CustomerOrderStats AS ( - SELECT - C."customer_unique_id", - O."order_id", - TO_TIMESTAMP(O."order_purchase_timestamp") AS "order_purchase_timestamp", - P."payment_value" - FROM "E_COMMERCE"."E_COMMERCE"."CUSTOMERS" AS C - JOIN "E_COMMERCE"."E_COMMERCE"."ORDERS" AS O - ON C."customer_id" = O."customer_id" - JOIN "E_COMMERCE"."E_COMMERCE"."ORDER_PAYMENTS" AS P - ON O."order_id" = P."order_id" - WHERE O."order_status" = 'delivered' -), -MaxDate AS ( - SELECT MAX("order_purchase_timestamp") AS "max_purchase_date" FROM CustomerOrderStats -), -RFM_Base AS ( - SELECT - "customer_unique_id", - DATEDIFF(day, MAX("order_purchase_timestamp"), (SELECT "max_purchase_date" FROM MaxDate)) AS "Recency", - COUNT(DISTINCT "order_id") AS "Frequency", - SUM("payment_value") AS "Monetary", - COUNT(DISTINCT "order_id") AS "TotalOrders", - SUM("payment_value") AS "TotalSpend" - FROM CustomerOrderStats - GROUP BY "customer_unique_id" -), -RFM_Scores AS ( - SELECT - *, - NTILE(5) OVER (ORDER BY "Recency" ASC) AS "R", - NTILE(5) OVER (ORDER BY "Frequency" DESC) AS "F", - NTILE(5) OVER (ORDER BY "Monetary" DESC) AS "M" - FROM RFM_Base -), -RFM_Segments AS ( - SELECT - *, - CASE - WHEN "R" = 1 AND ("F" + "M") BETWEEN 1 AND 4 THEN 'Champions' - WHEN ("R" = 4 OR "R" = 5) AND ("F" + "M") BETWEEN 1 AND 2 THEN 'Can''t Lose Them' - WHEN ("R" = 4 OR "R" = 5) AND ("F" + "M") BETWEEN 3 AND 6 THEN 'Hibernating' - WHEN ("R" = 4 OR "R" = 5) AND ("F" + "M") BETWEEN 7 AND 10 THEN 'Lost' - WHEN ("R" = 2 OR "R" = 3) AND ("F" + "M") BETWEEN 1 AND 4 THEN 'Loyal Customers' - WHEN "R" = 3 AND ("F" + "M") BETWEEN 5 AND 6 THEN 'Needs Attention' - WHEN "R" = 1 AND ("F" + "M") BETWEEN 7 AND 8 THEN 'Recent Users' - WHEN ("R" = 1 AND ("F" + "M") BETWEEN 5 AND 6) OR ("R" = 2 AND ("F" + "M") BETWEEN 5 AND 8) THEN 'Potential Loyalists' - WHEN "R" = 1 AND ("F" + "M") BETWEEN 9 AND 10 THEN 'Price Sensitive' - WHEN "R" = 2 AND ("F" + "M") BETWEEN 9 AND 10 THEN 'Promising' - WHEN "R" = 3 AND ("F" + "M") BETWEEN 7 AND 10 THEN 'About to Sleep' - ELSE 'Others' - END AS "RFM_Segment" - FROM RFM_Scores -) -SELECT - "RFM_Segment", - SUM("TotalSpend") / SUM("TotalOrders") AS "AverageSalesPerOrder" +WITH CustomerOrderStats AS + (SELECT C."customer_unique_id", + O."order_id", + TO_TIMESTAMP(O."order_purchase_timestamp") AS "order_purchase_timestamp", + P."payment_value" + FROM "E_COMMERCE"."E_COMMERCE"."CUSTOMERS" AS C + JOIN "E_COMMERCE"."E_COMMERCE"."ORDERS" AS O ON C."customer_id" = O."customer_id" + JOIN "E_COMMERCE"."E_COMMERCE"."ORDER_PAYMENTS" AS P ON O."order_id" = P."order_id" + WHERE O."order_status" = 'delivered'), + MaxDate AS + (SELECT MAX("order_purchase_timestamp") AS "max_purchase_date" + FROM CustomerOrderStats), + RFM_Base AS + (SELECT "customer_unique_id", + DATEDIFF(DAY, MAX("order_purchase_timestamp"), + (SELECT "max_purchase_date" + FROM MaxDate)) AS "Recency", + COUNT(DISTINCT "order_id") AS "Frequency", + SUM("payment_value") AS "Monetary", + COUNT(DISTINCT "order_id") AS "TotalOrders", + SUM("payment_value") AS "TotalSpend" + FROM CustomerOrderStats + GROUP BY "customer_unique_id"), + RFM_Scores AS + (SELECT *, + NTILE(5) OVER ( + ORDER BY "Recency" ASC) AS "R", + NTILE(5) OVER ( + ORDER BY "Frequency" DESC) AS "F", + NTILE(5) OVER ( + ORDER BY "Monetary" DESC) AS "M" + FROM RFM_Base), + RFM_Segments AS + (SELECT *, + CASE + WHEN "R" = 1 + AND ("F" + "M") BETWEEN 1 AND 4 THEN 'Champions' + WHEN ("R" = 4 + OR "R" = 5) + AND ("F" + "M") BETWEEN 1 AND 2 THEN 'Can''t Lose Them' + WHEN ("R" = 4 + OR "R" = 5) + AND ("F" + "M") BETWEEN 3 AND 6 THEN 'Hibernating' + WHEN ("R" = 4 + OR "R" = 5) + AND ("F" + "M") BETWEEN 7 AND 10 THEN 'Lost' + WHEN ("R" = 2 + OR "R" = 3) + AND ("F" + "M") BETWEEN 1 AND 4 THEN 'Loyal Customers' + WHEN "R" = 3 + AND ("F" + "M") BETWEEN 5 AND 6 THEN 'Needs Attention' + WHEN "R" = 1 + AND ("F" + "M") BETWEEN 7 AND 8 THEN 'Recent Users' + WHEN ("R" = 1 + AND ("F" + "M") BETWEEN 5 AND 6) + OR ("R" = 2 + AND ("F" + "M") BETWEEN 5 AND 8) THEN 'Potential Loyalists' + WHEN "R" = 1 + AND ("F" + "M") BETWEEN 9 AND 10 THEN 'Price Sensitive' + WHEN "R" = 2 + AND ("F" + "M") BETWEEN 9 AND 10 THEN 'Promising' + WHEN "R" = 3 + AND ("F" + "M") BETWEEN 7 AND 10 THEN 'About to Sleep' + ELSE 'Others' + END AS "RFM_Segment" + FROM RFM_Scores) +SELECT "RFM_Segment", + SUM("TotalSpend") / SUM("TotalOrders") AS "AverageSalesPerOrder" FROM RFM_Segments GROUP BY "RFM_Segment" ORDER BY "AverageSalesPerOrder" DESC diff --git a/spider2/queries/snow_sf_local004.sql b/spider2/queries/snow_sf_local004.sql index 0147caf124c4df4618a0921abd8242f08c17fbc5..0dd0208c957a55e10fe20ee70bdd15e340a1dc11 100644 --- a/spider2/queries/snow_sf_local004.sql +++ b/spider2/queries/snow_sf_local004.sql @@ -1,19 +1,15 @@ -WITH OrderTotalPayments AS ( - SELECT - "order_id", - SUM("payment_value") AS "total_payment" - FROM "E_COMMERCE"."E_COMMERCE"."ORDER_PAYMENTS" - GROUP BY "order_id" -) -SELECT - C."customer_unique_id", - COUNT(O."order_id") AS "number_of_orders", - AVG(OTP."total_payment") AS "average_payment_per_order", - CASE - WHEN DATEDIFF('day', MIN(TO_TIMESTAMP(O."order_purchase_timestamp")), MAX(TO_TIMESTAMP(O."order_purchase_timestamp"))) < 7 - THEN 1.0 - ELSE DATEDIFF('day', MIN(TO_TIMESTAMP(O."order_purchase_timestamp")), MAX(TO_TIMESTAMP(O."order_purchase_timestamp"))) / 7.0 - END AS "customer_lifespan_in_weeks" +WITH OrderTotalPayments AS + (SELECT "order_id", + SUM("payment_value") AS "total_payment" + FROM "E_COMMERCE"."E_COMMERCE"."ORDER_PAYMENTS" + GROUP BY "order_id") +SELECT C."customer_unique_id", + COUNT(O."order_id") AS "number_of_orders", + AVG(OTP."total_payment") AS "average_payment_per_order", + CASE + WHEN DATEDIFF('day', MIN(TO_TIMESTAMP(O."order_purchase_timestamp")), MAX(TO_TIMESTAMP(O."order_purchase_timestamp"))) < 7 THEN 1.0 + ELSE DATEDIFF('day', MIN(TO_TIMESTAMP(O."order_purchase_timestamp")), MAX(TO_TIMESTAMP(O."order_purchase_timestamp"))) / 7.0 + END AS "customer_lifespan_in_weeks" FROM "E_COMMERCE"."E_COMMERCE"."CUSTOMERS" AS C JOIN "E_COMMERCE"."E_COMMERCE"."ORDERS" AS O ON C."customer_id" = O."customer_id" JOIN OrderTotalPayments AS OTP ON O."order_id" = OTP."order_id" diff --git a/spider2/queries/snow_sf_local009.sql b/spider2/queries/snow_sf_local009.sql index 1f76fd4a444c0e1c7086c18a8558b594b3d11244..fc3711485ca51db1b31119fff33c72021652fe5d 100644 --- a/spider2/queries/snow_sf_local009.sql +++ b/spider2/queries/snow_sf_local009.sql @@ -1,39 +1,26 @@ -WITH flights_abakan AS ( - SELECT - f."flight_id", - dep."airport_code" AS "dep_code", - arr."airport_code" AS "arr_code", - TRY_PARSE_JSON(dep."city"):"en"::string AS "dep_city", - TRY_PARSE_JSON(arr."city"):"en"::string AS "arr_city", - dep."coordinates" AS "dep_coord", - arr."coordinates" AS "arr_coord" - FROM "AIRLINES"."AIRLINES"."FLIGHTS" AS f - JOIN "AIRLINES"."AIRLINES"."AIRPORTS_DATA" AS dep - ON dep."airport_code" = f."departure_airport" - JOIN "AIRLINES"."AIRLINES"."AIRPORTS_DATA" AS arr - ON arr."airport_code" = f."arrival_airport" - WHERE TRY_PARSE_JSON(dep."city"):"en"::string = 'Abakan' - OR TRY_PARSE_JSON(arr."city"):"en"::string = 'Abakan' -), -coords AS ( - SELECT - "flight_id", - CAST(SPLIT_PART(REPLACE(REPLACE("dep_coord",'(',''),')',''), ',', 1) AS DOUBLE) AS "dep_lon", - CAST(SPLIT_PART(REPLACE(REPLACE("dep_coord",'(',''),')',''), ',', 2) AS DOUBLE) AS "dep_lat", - CAST(SPLIT_PART(REPLACE(REPLACE("arr_coord",'(',''),')',''), ',', 1) AS DOUBLE) AS "arr_lon", - CAST(SPLIT_PART(REPLACE(REPLACE("arr_coord",'(',''),')',''), ',', 2) AS DOUBLE) AS "arr_lat" - FROM flights_abakan -), -dist AS ( - SELECT - "flight_id", - 6371 * 2 * ASIN( - SQRT( - POWER(SIN((RADIANS("arr_lat") - RADIANS("dep_lat")) / 2), 2) - + COS(RADIANS("dep_lat")) * COS(RADIANS("arr_lat")) * POWER(SIN((RADIANS("arr_lon") - RADIANS("dep_lon")) / 2), 2) - ) - ) AS "distance_km" - FROM coords -) +WITH flights_abakan AS + (SELECT f."flight_id", + dep."airport_code" AS "dep_code", + arr."airport_code" AS "arr_code", + TRY_PARSE_JSON(dep."city"):"en"::string AS "dep_city", + TRY_PARSE_JSON(arr."city"):"en"::string AS "arr_city", + dep."coordinates" AS "dep_coord", + arr."coordinates" AS "arr_coord" + FROM "AIRLINES"."AIRLINES"."FLIGHTS" AS f + JOIN "AIRLINES"."AIRLINES"."AIRPORTS_DATA" AS dep ON dep."airport_code" = f."departure_airport" + JOIN "AIRLINES"."AIRLINES"."AIRPORTS_DATA" AS arr ON arr."airport_code" = f."arrival_airport" + WHERE TRY_PARSE_JSON(dep."city"):"en"::string = 'Abakan' + OR TRY_PARSE_JSON(arr."city"):"en"::string = 'Abakan'), + coords AS + (SELECT "flight_id", + CAST(SPLIT_PART(REPLACE(REPLACE("dep_coord", '(', ''), ')', ''), ',', 1) AS DOUBLE) AS "dep_lon", + CAST(SPLIT_PART(REPLACE(REPLACE("dep_coord", '(', ''), ')', ''), ',', 2) AS DOUBLE) AS "dep_lat", + CAST(SPLIT_PART(REPLACE(REPLACE("arr_coord", '(', ''), ')', ''), ',', 1) AS DOUBLE) AS "arr_lon", + CAST(SPLIT_PART(REPLACE(REPLACE("arr_coord", '(', ''), ')', ''), ',', 2) AS DOUBLE) AS "arr_lat" + FROM flights_abakan), + dist AS + (SELECT "flight_id", + 6371 * 2 * ASIN(SQRT(POWER(SIN((RADIANS("arr_lat") - RADIANS("dep_lat")) / 2), 2) + COS(RADIANS("dep_lat")) * COS(RADIANS("arr_lat")) * POWER(SIN((RADIANS("arr_lon") - RADIANS("dep_lon")) / 2), 2))) AS "distance_km" + FROM coords) SELECT MAX("distance_km") AS "max_distance_km" FROM dist; diff --git a/spider2/queries/snow_sf_local010.sql b/spider2/queries/snow_sf_local010.sql index 2ed70b3ae1b1d9fd2e2e35212b440aba24ec5282..1057a27d86649be36699587eac32bdad48038590 100644 --- a/spider2/queries/snow_sf_local010.sql +++ b/spider2/queries/snow_sf_local010.sql @@ -1,45 +1,32 @@ -WITH FLIGHT_INFO AS ( - SELECT - FLIGHTS."flight_id", - PARSE_JSON(DEPARTURE."city"):"en" AS "from_city", - CAST(SUBSTR(DEPARTURE."coordinates", 2, POSITION(',' IN DEPARTURE."coordinates") - 2) AS DOUBLE) AS "from_longitude", - CAST(SUBSTR(DEPARTURE."coordinates", POSITION(',' IN DEPARTURE."coordinates") + 1, LENGTH(DEPARTURE."coordinates") - POSITION(',' IN DEPARTURE."coordinates") - 2) AS DOUBLE) AS "from_latitude", - PARSE_JSON(ARRIVAL."city"):"en" AS "to_city", - CAST(SUBSTR(ARRIVAL."coordinates", 2, POSITION(',' IN ARRIVAL."coordinates") - 2) AS DOUBLE) AS "to_longitude", - CAST(SUBSTR(ARRIVAL."coordinates", POSITION(',' IN ARRIVAL."coordinates") + 1, LENGTH(ARRIVAL."coordinates") - POSITION(',' IN ARRIVAL."coordinates") - 2) AS DOUBLE) AS "to_latitude" - FROM - AIRLINES.AIRLINES.FLIGHTS - LEFT JOIN AIRLINES.AIRLINES.AIRPORTS_DATA AS DEPARTURE ON FLIGHTS."departure_airport" = DEPARTURE."airport_code" - LEFT JOIN AIRLINES.AIRLINES.AIRPORTS_DATA AS ARRIVAL ON FLIGHTS."arrival_airport" = ARRIVAL."airport_code" -) --- Create a histogram distribution of average_distance_km -SELECT "group_count" FROM -( - SELECT - FLOOR("average_distance_km" / 1000) * 1000 AS "distance_range", - COUNT(*) AS "group_count" - FROM ( - -- Calculate the average distance for each unique combination of from_city and to_city - SELECT - "from_city", - "to_city", - AVG("distance_km") AS "average_distance_km" - FROM ( - -- Subquery to calculate the distances as before - SELECT - "from_city", - "to_city", - -- Calculate the distance using the Haversine formula - 2 * 6371 * ASIN(SQRT( - POWER(SIN(RADIANS(("to_latitude" - "from_latitude") / 2)), 2) + - COS(RADIANS("from_latitude")) * COS(RADIANS("to_latitude")) * - POWER(SIN(RADIANS(("to_longitude" - "from_longitude") / 2)), 2) - )) AS "distance_km" - FROM FLIGHT_INFO - ) AS subquery - GROUP BY "from_city", "to_city" - ) AS distances - GROUP BY "distance_range" - ORDER BY "group_count" - LIMIT 1 -) +WITH FLIGHT_INFO AS + (SELECT FLIGHTS."flight_id", + PARSE_JSON(DEPARTURE."city"):"en" AS "from_city", + CAST(SUBSTR(DEPARTURE."coordinates", 2, POSITION(',' IN DEPARTURE."coordinates") - 2) AS DOUBLE) AS "from_longitude", + CAST(SUBSTR(DEPARTURE."coordinates", POSITION(',' IN DEPARTURE."coordinates") + 1, LENGTH(DEPARTURE."coordinates") - POSITION(',' IN DEPARTURE."coordinates") - 2) AS DOUBLE) AS "from_latitude", + PARSE_JSON(ARRIVAL."city"):"en" AS "to_city", + CAST(SUBSTR(ARRIVAL."coordinates", 2, POSITION(',' IN ARRIVAL."coordinates") - 2) AS DOUBLE) AS "to_longitude", + CAST(SUBSTR(ARRIVAL."coordinates", POSITION(',' IN ARRIVAL."coordinates") + 1, LENGTH(ARRIVAL."coordinates") - POSITION(',' IN ARRIVAL."coordinates") - 2) AS DOUBLE) AS "to_latitude" + FROM AIRLINES.AIRLINES.FLIGHTS + LEFT JOIN AIRLINES.AIRLINES.AIRPORTS_DATA AS DEPARTURE ON FLIGHTS."departure_airport" = DEPARTURE."airport_code" + LEFT JOIN AIRLINES.AIRLINES.AIRPORTS_DATA AS ARRIVAL ON FLIGHTS."arrival_airport" = ARRIVAL."airport_code") -- Create a histogram distribution of average_distance_km + +SELECT "group_count" +FROM + (SELECT FLOOR("average_distance_km" / 1000) * 1000 AS "distance_range", + COUNT(*) AS "group_count" + FROM + (-- Calculate the average distance for each unique combination of from_city and to_city + SELECT "from_city", + "to_city", + AVG("distance_km") AS "average_distance_km" + FROM + (-- Subquery to calculate the distances as before + SELECT "from_city", + "to_city", -- Calculate the distance using the Haversine formula + 2 * 6371 * ASIN(SQRT(POWER(SIN(RADIANS(("to_latitude" - "from_latitude") / 2)), 2) + COS(RADIANS("from_latitude")) * COS(RADIANS("to_latitude")) * POWER(SIN(RADIANS(("to_longitude" - "from_longitude") / 2)), 2))) AS "distance_km" + FROM FLIGHT_INFO) AS subquery + GROUP BY "from_city", + "to_city") AS distances + GROUP BY "distance_range" + ORDER BY "group_count" + LIMIT 1) diff --git a/spider2/queries/snow_sf_local015.sql b/spider2/queries/snow_sf_local015.sql index 9fc8329559f1535fdf9762223a8e9f3b77cd3cb3..ca96ac62b5bc0c32e93076e4452473ed18bae64c 100644 --- a/spider2/queries/snow_sf_local015.sql +++ b/spider2/queries/snow_sf_local015.sql @@ -1,64 +1,60 @@ -WITH "moto_collisions" AS ( - SELECT - "case_id", - COALESCE("motorcyclist_killed_count", 0) AS "motorcyclist_killed_count" - FROM "CALIFORNIA_TRAFFIC_COLLISION"."CALIFORNIA_TRAFFIC_COLLISION"."COLLISIONS" - WHERE COALESCE("motorcycle_collision", 0) = 1 -), -"moto_party_helmet" AS ( - SELECT - p."case_id", - MAX( - CASE - WHEN ( - (LOWER(COALESCE(p."party_safety_equipment_1", '')) LIKE '%helmet%' AND LOWER(COALESCE(p."party_safety_equipment_1", '')) NOT LIKE '%not%' AND LOWER(COALESCE(p."party_safety_equipment_1", '')) NOT LIKE '%no helmet%') - OR - (LOWER(COALESCE(p."party_safety_equipment_2", '')) LIKE '%helmet%' AND LOWER(COALESCE(p."party_safety_equipment_2", '')) NOT LIKE '%not%' AND LOWER(COALESCE(p."party_safety_equipment_2", '')) NOT LIKE '%no helmet%') - ) THEN 1 ELSE 0 - END - ) AS "worn_any", - MAX( - CASE - WHEN ( - (LOWER(COALESCE(p."party_safety_equipment_1", '')) LIKE '%helmet%' AND (LOWER(COALESCE(p."party_safety_equipment_1", '')) LIKE '%not%' OR LOWER(COALESCE(p."party_safety_equipment_1", '')) LIKE '%no helmet%')) - OR - (LOWER(COALESCE(p."party_safety_equipment_2", '')) LIKE '%helmet%' AND (LOWER(COALESCE(p."party_safety_equipment_2", '')) LIKE '%not%' OR LOWER(COALESCE(p."party_safety_equipment_2", '')) LIKE '%no helmet%')) - ) THEN 1 ELSE 0 - END - ) AS "not_worn_any" - FROM "CALIFORNIA_TRAFFIC_COLLISION"."CALIFORNIA_TRAFFIC_COLLISION"."PARTIES" p - INNER JOIN "moto_collisions" mc - ON mc."case_id" = p."case_id" - WHERE LOWER(COALESCE(p."statewide_vehicle_type", '')) LIKE '%motorcycle%' - GROUP BY p."case_id" -), -"classified" AS ( - SELECT - mc."case_id", - mc."motorcyclist_killed_count", - CASE - WHEN mph."worn_any" = 1 AND COALESCE(mph."not_worn_any", 0) = 0 THEN 'helmet_worn' - WHEN mph."not_worn_any" = 1 AND COALESCE(mph."worn_any", 0) = 0 THEN 'no_helmet' - ELSE NULL - END AS "helmet_group" - FROM "moto_collisions" mc - LEFT JOIN "moto_party_helmet" mph - ON mc."case_id" = mph."case_id" -) -SELECT - 'helmet_worn' AS "helmet_usage", - COALESCE( - 100.0 * SUM(CASE WHEN "helmet_group" = 'helmet_worn' THEN "motorcyclist_killed_count" ELSE 0 END) - / NULLIF(SUM(CASE WHEN "helmet_group" = 'helmet_worn' THEN 1 ELSE 0 END), 0), - 0 - ) AS "fatality_percentage" +WITH "moto_collisions" AS + (SELECT "case_id", + COALESCE("motorcyclist_killed_count", 0) AS "motorcyclist_killed_count" + FROM "CALIFORNIA_TRAFFIC_COLLISION"."CALIFORNIA_TRAFFIC_COLLISION"."COLLISIONS" + WHERE COALESCE("motorcycle_collision", 0) = 1), + "moto_party_helmet" AS + (SELECT p."case_id", + MAX(CASE + WHEN ((LOWER(COALESCE(p."party_safety_equipment_1", '')) LIKE '%helmet%' + AND LOWER(COALESCE(p."party_safety_equipment_1", '')) NOT LIKE '%not%' + AND LOWER(COALESCE(p."party_safety_equipment_1", '')) NOT LIKE '%no helmet%') + OR (LOWER(COALESCE(p."party_safety_equipment_2", '')) LIKE '%helmet%' + AND LOWER(COALESCE(p."party_safety_equipment_2", '')) NOT LIKE '%not%' + AND LOWER(COALESCE(p."party_safety_equipment_2", '')) NOT LIKE '%no helmet%')) THEN 1 + ELSE 0 + END) AS "worn_any", + MAX(CASE + WHEN ((LOWER(COALESCE(p."party_safety_equipment_1", '')) LIKE '%helmet%' + AND (LOWER(COALESCE(p."party_safety_equipment_1", '')) LIKE '%not%' + OR LOWER(COALESCE(p."party_safety_equipment_1", '')) LIKE '%no helmet%')) + OR (LOWER(COALESCE(p."party_safety_equipment_2", '')) LIKE '%helmet%' + AND (LOWER(COALESCE(p."party_safety_equipment_2", '')) LIKE '%not%' + OR LOWER(COALESCE(p."party_safety_equipment_2", '')) LIKE '%no helmet%'))) THEN 1 + ELSE 0 + END) AS "not_worn_any" + FROM "CALIFORNIA_TRAFFIC_COLLISION"."CALIFORNIA_TRAFFIC_COLLISION"."PARTIES" p + INNER JOIN "moto_collisions" mc ON mc."case_id" = p."case_id" + WHERE LOWER(COALESCE(p."statewide_vehicle_type", '')) LIKE '%motorcycle%' + GROUP BY p."case_id"), + "classified" AS + (SELECT mc."case_id", + mc."motorcyclist_killed_count", + CASE + WHEN mph."worn_any" = 1 + AND COALESCE(mph."not_worn_any", 0) = 0 THEN 'helmet_worn' + WHEN mph."not_worn_any" = 1 + AND COALESCE(mph."worn_any", 0) = 0 THEN 'no_helmet' + ELSE NULL + END AS "helmet_group" + FROM "moto_collisions" mc + LEFT JOIN "moto_party_helmet" mph ON mc."case_id" = mph."case_id") +SELECT 'helmet_worn' AS "helmet_usage", + COALESCE(100.0 * SUM(CASE + WHEN "helmet_group" = 'helmet_worn' THEN "motorcyclist_killed_count" + ELSE 0 + END) / NULLIF(SUM(CASE + WHEN "helmet_group" = 'helmet_worn' THEN 1 + ELSE 0 + END), 0), 0) AS "fatality_percentage" FROM "classified" UNION ALL -SELECT - 'no_helmet' AS "helmet_usage", - COALESCE( - 100.0 * SUM(CASE WHEN "helmet_group" = 'no_helmet' THEN "motorcyclist_killed_count" ELSE 0 END) - / NULLIF(SUM(CASE WHEN "helmet_group" = 'no_helmet' THEN 1 ELSE 0 END), 0), - 0 - ) AS "fatality_percentage" +SELECT 'no_helmet' AS "helmet_usage", + COALESCE(100.0 * SUM(CASE + WHEN "helmet_group" = 'no_helmet' THEN "motorcyclist_killed_count" + ELSE 0 + END) / NULLIF(SUM(CASE + WHEN "helmet_group" = 'no_helmet' THEN 1 + ELSE 0 + END), 0), 0) AS "fatality_percentage" FROM "classified"; diff --git a/spider2/queries/snow_sf_local019.sql b/spider2/queries/snow_sf_local019.sql index 68872f5f79e38a8ace1a0499822b1fab39942b34..82185c7b9170c8195a03ff77d46fd015374544e1 100644 --- a/spider2/queries/snow_sf_local019.sql +++ b/spider2/queries/snow_sf_local019.sql @@ -1,10 +1,14 @@ -SELECT w1."name" as wrestler1, w2."name" as wrestler2 +SELECT w1."name" AS wrestler1, + w2."name" AS wrestler2 FROM WWE.WWE.MATCHES m JOIN WWE.WWE.WRESTLERS w1 ON m."winner_id" = w1."id"::VARCHAR JOIN WWE.WWE.WRESTLERS w2 ON m."loser_id" = w2."id"::VARCHAR -WHERE m."title_id" IN (SELECT "id"::VARCHAR FROM WWE.WWE.BELTS WHERE "name" LIKE '%NXT%') -AND m."title_change" = 0 -AND m."duration" IS NOT NULL -AND m."duration" != '' -ORDER BY m."duration" ASC +WHERE m."title_id" IN + (SELECT "id"::VARCHAR + FROM WWE.WWE.BELTS + WHERE "name" LIKE '%NXT%') + AND m."title_change" = 0 + AND m."duration" IS NOT NULL + AND m."duration" != '' +ORDER BY m."duration" ASC LIMIT 1 diff --git a/spider2/queries/snow_sf_local022.sql b/spider2/queries/snow_sf_local022.sql index c586c896c761ce81822b9a17b3cd38fc17030b62..f7b00642b3c916d8bf11930912706bb3ab988196 100644 --- a/spider2/queries/snow_sf_local022.sql +++ b/spider2/queries/snow_sf_local022.sql @@ -1,26 +1,22 @@ -with "PLAYER_RUNS" as ( - select - "B"."match_id", - "B"."striker" as "player_id", - sum("BS"."runs_scored") as "runs" - from "IPL"."IPL"."BALL_BY_BALL" "B" - join "IPL"."IPL"."BATSMAN_SCORED" "BS" - on "B"."match_id" = "BS"."match_id" - and "B"."over_id" = "BS"."over_id" - and "B"."ball_id" = "BS"."ball_id" - and "B"."innings_no" = "BS"."innings_no" - group by "B"."match_id", "B"."striker" -) -select distinct "P"."player_name" -from "PLAYER_RUNS" "PR" -join "IPL"."IPL"."PLAYER_MATCH" "PM" - on "PM"."match_id" = "PR"."match_id" - and "PM"."player_id" = "PR"."player_id" -join "IPL"."IPL"."MATCH" "M" - on "M"."match_id" = "PR"."match_id" -join "IPL"."IPL"."PLAYER" "P" - on "P"."player_id" = "PR"."player_id" -where "PR"."runs" >= 100 - and "M"."match_winner" is not null - and "PM"."team_id" in ("M"."team_1", "M"."team_2") - and "PM"."team_id" != "M"."match_winner" +WITH "PLAYER_RUNS" AS + (SELECT "B"."match_id", + "B"."striker" AS "player_id", + sum("BS"."runs_scored") AS "runs" + FROM "IPL"."IPL"."BALL_BY_BALL" "B" + JOIN "IPL"."IPL"."BATSMAN_SCORED" "BS" ON "B"."match_id" = "BS"."match_id" + AND "B"."over_id" = "BS"."over_id" + AND "B"."ball_id" = "BS"."ball_id" + AND "B"."innings_no" = "BS"."innings_no" + GROUP BY "B"."match_id", + "B"."striker") +SELECT DISTINCT "P"."player_name" +FROM "PLAYER_RUNS" "PR" +JOIN "IPL"."IPL"."PLAYER_MATCH" "PM" ON "PM"."match_id" = "PR"."match_id" +AND "PM"."player_id" = "PR"."player_id" +JOIN "IPL"."IPL"."MATCH" "M" ON "M"."match_id" = "PR"."match_id" +JOIN "IPL"."IPL"."PLAYER" "P" ON "P"."player_id" = "PR"."player_id" +WHERE "PR"."runs" >= 100 + AND "M"."match_winner" IS NOT NULL + AND "PM"."team_id" IN ("M"."team_1", + "M"."team_2") + AND "PM"."team_id" != "M"."match_winner" diff --git a/spider2/queries/snow_sf_local026.sql b/spider2/queries/snow_sf_local026.sql index 12ee96535f16dc9f25e1f0df3a2bf73ac386e200..dcd7559258ddd73b61bd2002de3b5cb783e3a6b3 100644 --- a/spider2/queries/snow_sf_local026.sql +++ b/spider2/queries/snow_sf_local026.sql @@ -1,56 +1,45 @@ -- Status: Finished in turn 6. - -WITH over_runs AS ( - SELECT - "bbb"."match_id", - "bbb"."over_id", - "bbb"."bowler", - COALESCE(SUM("bs"."runs_scored"), 0) + COALESCE(SUM("er"."extra_runs"), 0) AS "total_runs_conceded" - FROM "IPL"."IPL"."BALL_BY_BALL" "bbb" - LEFT JOIN "IPL"."IPL"."BATSMAN_SCORED" "bs" - ON "bbb"."match_id" = "bs"."match_id" - AND "bbb"."innings_no" = "bs"."innings_no" - AND "bbb"."over_id" = "bs"."over_id" - AND "bbb"."ball_id" = "bs"."ball_id" - LEFT JOIN "IPL"."IPL"."EXTRA_RUNS" "er" - ON "bbb"."match_id" = "er"."match_id" - AND "bbb"."innings_no" = "er"."innings_no" - AND "bbb"."over_id" = "er"."over_id" - AND "bbb"."ball_id" = "er"."ball_id" - GROUP BY "bbb"."match_id", "bbb"."over_id", "bbb"."bowler" -), -max_runs_per_match AS ( - SELECT - "match_id", - MAX("total_runs_conceded") AS "max_runs_conceded_in_single_over" - FROM over_runs - GROUP BY "match_id" -), -worst_bowlers_per_match AS ( - SELECT - "or"."match_id", - "or"."bowler", - "or"."over_id", - "or"."total_runs_conceded" - FROM over_runs "or" - INNER JOIN max_runs_per_match "mrpm" - ON "or"."match_id" = "mrpm"."match_id" - AND "or"."total_runs_conceded" = "mrpm"."max_runs_conceded_in_single_over" -), -top_3_worst_bowlers AS ( - SELECT - "match_id", - "bowler", - "over_id", - "total_runs_conceded", - ROW_NUMBER() OVER (ORDER BY "total_runs_conceded" DESC) AS "rank" - FROM worst_bowlers_per_match -) -SELECT - "p"."player_name", - "t3wb"."total_runs_conceded", - "t3wb"."match_id" + WITH over_runs AS + (SELECT "bbb"."match_id", + "bbb"."over_id", + "bbb"."bowler", + COALESCE(SUM("bs"."runs_scored"), 0) + COALESCE(SUM("er"."extra_runs"), 0) AS "total_runs_conceded" + FROM "IPL"."IPL"."BALL_BY_BALL" "bbb" + LEFT JOIN "IPL"."IPL"."BATSMAN_SCORED" "bs" ON "bbb"."match_id" = "bs"."match_id" + AND "bbb"."innings_no" = "bs"."innings_no" + AND "bbb"."over_id" = "bs"."over_id" + AND "bbb"."ball_id" = "bs"."ball_id" + LEFT JOIN "IPL"."IPL"."EXTRA_RUNS" "er" ON "bbb"."match_id" = "er"."match_id" + AND "bbb"."innings_no" = "er"."innings_no" + AND "bbb"."over_id" = "er"."over_id" + AND "bbb"."ball_id" = "er"."ball_id" + GROUP BY "bbb"."match_id", + "bbb"."over_id", + "bbb"."bowler"), + max_runs_per_match AS + (SELECT "match_id", + MAX("total_runs_conceded") AS "max_runs_conceded_in_single_over" + FROM over_runs + GROUP BY "match_id"), + worst_bowlers_per_match AS + (SELECT "or"."match_id", + "or"."bowler", + "or"."over_id", + "or"."total_runs_conceded" + FROM over_runs "or" + INNER JOIN max_runs_per_match "mrpm" ON "or"."match_id" = "mrpm"."match_id" + AND "or"."total_runs_conceded" = "mrpm"."max_runs_conceded_in_single_over"), + top_3_worst_bowlers AS + (SELECT "match_id", + "bowler", + "over_id", + "total_runs_conceded", + ROW_NUMBER() OVER ( + ORDER BY "total_runs_conceded" DESC) AS "rank" + FROM worst_bowlers_per_match) +SELECT "p"."player_name", + "t3wb"."total_runs_conceded", + "t3wb"."match_id" FROM top_3_worst_bowlers "t3wb" -INNER JOIN "IPL"."IPL"."PLAYER" "p" - ON "t3wb"."bowler" = "p"."player_id" +INNER JOIN "IPL"."IPL"."PLAYER" "p" ON "t3wb"."bowler" = "p"."player_id" WHERE "t3wb"."rank" <= 3 diff --git a/spider2/queries/snow_sf_local028.sql b/spider2/queries/snow_sf_local028.sql index a8577c085ce5376ab31be3b090b46a091a8a3fee..4c842edad5c3e58c81114446872b25559034004b 100644 --- a/spider2/queries/snow_sf_local028.sql +++ b/spider2/queries/snow_sf_local028.sql @@ -1,32 +1,44 @@ -SELECT - CASE delivery_month - WHEN 1 THEN 'January' - WHEN 2 THEN 'February' - WHEN 3 THEN 'March' - WHEN 4 THEN 'April' - WHEN 5 THEN 'May' - WHEN 6 THEN 'June' - WHEN 7 THEN 'July' - WHEN 8 THEN 'August' - WHEN 9 THEN 'September' - WHEN 10 THEN 'October' - WHEN 11 THEN 'November' - WHEN 12 THEN 'December' - END as "Month", - SUM(CASE WHEN delivery_year = 2016 THEN delivered_orders ELSE 0 END) as "2016", - SUM(CASE WHEN delivery_year = 2017 THEN delivered_orders ELSE 0 END) as "2017", - SUM(CASE WHEN delivery_year = 2018 THEN delivered_orders ELSE 0 END) as "2018" -FROM ( - SELECT - EXTRACT(YEAR FROM TO_TIMESTAMP("order_delivered_customer_date", 'YYYY-MM-DD HH24:MI:SS')) as delivery_year, - EXTRACT(MONTH FROM TO_TIMESTAMP("order_delivered_customer_date", 'YYYY-MM-DD HH24:MI:SS')) as delivery_month, - COUNT(*) as delivered_orders - FROM BRAZILIAN_E_COMMERCE.BRAZILIAN_E_COMMERCE.OLIST_ORDERS - WHERE "order_status" = 'delivered' - AND "order_delivered_customer_date" IS NOT NULL - AND "order_delivered_customer_date" != '' - AND EXTRACT(YEAR FROM TO_TIMESTAMP("order_delivered_customer_date", 'YYYY-MM-DD HH24:MI:SS')) IN (2016, 2017, 2018) - GROUP BY delivery_year, delivery_month -) monthly_data +SELECT CASE delivery_month + WHEN 1 THEN 'January' + WHEN 2 THEN 'February' + WHEN 3 THEN 'March' + WHEN 4 THEN 'April' + WHEN 5 THEN 'May' + WHEN 6 THEN 'June' + WHEN 7 THEN 'July' + WHEN 8 THEN 'August' + WHEN 9 THEN 'September' + WHEN 10 THEN 'October' + WHEN 11 THEN 'November' + WHEN 12 THEN 'December' + END AS "Month", + SUM(CASE + WHEN delivery_year = 2016 THEN delivered_orders + ELSE 0 + END) AS "2016", + SUM(CASE + WHEN delivery_year = 2017 THEN delivered_orders + ELSE 0 + END) AS "2017", + SUM(CASE + WHEN delivery_year = 2018 THEN delivered_orders + ELSE 0 + END) AS "2018" +FROM + (SELECT EXTRACT(YEAR + FROM TO_TIMESTAMP("order_delivered_customer_date", 'YYYY-MM-DD HH24:MI:SS')) AS delivery_year, + EXTRACT(MONTH + FROM TO_TIMESTAMP("order_delivered_customer_date", 'YYYY-MM-DD HH24:MI:SS')) AS delivery_month, + COUNT(*) AS delivered_orders + FROM BRAZILIAN_E_COMMERCE.BRAZILIAN_E_COMMERCE.OLIST_ORDERS + WHERE "order_status" = 'delivered' + AND "order_delivered_customer_date" IS NOT NULL + AND "order_delivered_customer_date" != '' + AND EXTRACT(YEAR + FROM TO_TIMESTAMP("order_delivered_customer_date", 'YYYY-MM-DD HH24:MI:SS')) IN (2016, + 2017, + 2018) + GROUP BY delivery_year, + delivery_month) monthly_data GROUP BY delivery_month ORDER BY delivery_month diff --git a/spider2/queries/snow_sf_local030.sql b/spider2/queries/snow_sf_local030.sql index 51fbfddf3fb755ba4d36bc01f3dbdd77b19a436f..a3365a1cda45b543d8c174c3c0cbe3009d433677 100644 --- a/spider2/queries/snow_sf_local030.sql +++ b/spider2/queries/snow_sf_local030.sql @@ -1,28 +1,18 @@ -WITH CityPayments AS ( - SELECT - C."customer_city", - SUM(P."payment_value") AS total_payment, - COUNT(DISTINCT O."order_id") AS delivered_order_count - FROM - "BRAZILIAN_E_COMMERCE"."BRAZILIAN_E_COMMERCE"."OLIST_ORDERS" AS O - JOIN "BRAZILIAN_E_COMMERCE"."BRAZILIAN_E_COMMERCE"."OLIST_CUSTOMERS" AS C - ON O."customer_id" = C."customer_id" - JOIN "BRAZILIAN_E_COMMERCE"."BRAZILIAN_E_COMMERCE"."OLIST_ORDER_PAYMENTS" AS P - ON O."order_id" = P."order_id" - WHERE - O."order_status" = 'delivered' - GROUP BY - C."customer_city" -), Top5Cities AS ( - SELECT - total_payment, - delivered_order_count - FROM CityPayments - ORDER BY - total_payment ASC - LIMIT 5 -) -SELECT - AVG(total_payment), - AVG(delivered_order_count) +WITH CityPayments AS + (SELECT C."customer_city", + SUM(P."payment_value") AS total_payment, + COUNT(DISTINCT O."order_id") AS delivered_order_count + FROM "BRAZILIAN_E_COMMERCE"."BRAZILIAN_E_COMMERCE"."OLIST_ORDERS" AS O + JOIN "BRAZILIAN_E_COMMERCE"."BRAZILIAN_E_COMMERCE"."OLIST_CUSTOMERS" AS C ON O."customer_id" = C."customer_id" + JOIN "BRAZILIAN_E_COMMERCE"."BRAZILIAN_E_COMMERCE"."OLIST_ORDER_PAYMENTS" AS P ON O."order_id" = P."order_id" + WHERE O."order_status" = 'delivered' + GROUP BY C."customer_city"), + Top5Cities AS + (SELECT total_payment, + delivered_order_count + FROM CityPayments + ORDER BY total_payment ASC + LIMIT 5) +SELECT AVG(total_payment), + AVG(delivered_order_count) FROM Top5Cities; diff --git a/spider2/queries/snow_sf_local038.sql b/spider2/queries/snow_sf_local038.sql index 3144c1a9f7caebc84bc08556255b42c5000cbd9d..618af6448e8747c2e54a5f0a9fe745edfa7ac064 100644 --- a/spider2/queries/snow_sf_local038.sql +++ b/spider2/queries/snow_sf_local038.sql @@ -7,7 +7,8 @@ JOIN "PAGILA"."PAGILA"."FILM_ACTOR" AS "fa" ON "fa"."film_id" = "f"."film_id" JOIN "PAGILA"."PAGILA"."ACTOR" AS "a" ON "a"."actor_id" = "fa"."actor_id" WHERE UPPER("c"."name") = 'CHILDREN' AND UPPER("l"."name") = 'ENGLISH' - AND "f"."rating" IN ('G', 'PG') + AND "f"."rating" IN ('G', + 'PG') AND "f"."length" <= 120 AND TRY_TO_NUMBER("f"."release_year") BETWEEN 2000 AND 2010 GROUP BY 1 diff --git a/spider2/queries/snow_sf_local039.sql b/spider2/queries/snow_sf_local039.sql index b2b0af2d7dc25f818375c9181186a3b71ff0aa79..2290ab059efbc1473304f0451ad51c62e604a5fa 100644 --- a/spider2/queries/snow_sf_local039.sql +++ b/spider2/queries/snow_sf_local039.sql @@ -1,6 +1,5 @@ -SELECT - c."name" AS category_name, - SUM(DATEDIFF('second', TRY_TO_TIMESTAMP_NTZ(r."rental_date"), TRY_TO_TIMESTAMP_NTZ(r."return_date")))/3600.0 AS total_rental_hours +SELECT c."name" AS category_name, + SUM(DATEDIFF('second', TRY_TO_TIMESTAMP_NTZ(r."rental_date"), TRY_TO_TIMESTAMP_NTZ(r."return_date")))/3600.0 AS total_rental_hours FROM "PAGILA"."PAGILA"."RENTAL" r JOIN "PAGILA"."PAGILA"."INVENTORY" i ON r."inventory_id" = i."inventory_id" JOIN "PAGILA"."PAGILA"."FILM_CATEGORY" fc ON i."film_id" = fc."film_id" @@ -10,7 +9,9 @@ JOIN "PAGILA"."PAGILA"."ADDRESS" a ON cu."address_id" = a."address_id" JOIN "PAGILA"."PAGILA"."CITY" ci ON a."city_id" = ci."city_id" WHERE TRY_TO_TIMESTAMP_NTZ(r."rental_date") IS NOT NULL AND TRY_TO_TIMESTAMP_NTZ(r."return_date") IS NOT NULL - AND (ci."city" ILIKE 'A%' OR ci."city" ILIKE '%-%') -GROUP BY c."category_id", c."name" + AND (ci."city" ILIKE 'A%' + OR ci."city" ILIKE '%-%') +GROUP BY c."category_id", + c."name" ORDER BY total_rental_hours DESC LIMIT 1; diff --git a/spider2/queries/snow_sf_local056.sql b/spider2/queries/snow_sf_local056.sql index aab4435a56a73abdd6b9c22a09d458af15038886..030d216f40eb0129823c19f8435f18370988bfb6 100644 --- a/spider2/queries/snow_sf_local056.sql +++ b/spider2/queries/snow_sf_local056.sql @@ -1,27 +1,23 @@ -WITH MonthlyPayments AS ( - SELECT - "customer_id", - TO_VARCHAR(TO_TIMESTAMP("payment_date"), 'YYYY-MM') AS "payment_month", - SUM("amount") AS "monthly_total" - FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."PAYMENT" - GROUP BY "customer_id", "payment_month" -), MonthlyChanges AS ( - SELECT - "customer_id", - ABS("monthly_total" - LAG("monthly_total", 1) OVER (PARTITION BY "customer_id" ORDER BY "payment_month")) AS "change" - FROM MonthlyPayments -), AvgMonthlyChange AS ( - SELECT - "customer_id", - AVG("change") AS "avg_change" - FROM MonthlyChanges - WHERE "change" IS NOT NULL - GROUP BY "customer_id" -) -SELECT - T1."first_name" || ' ' || T1."last_name" +WITH MonthlyPayments AS + (SELECT "customer_id", + TO_VARCHAR(TO_TIMESTAMP("payment_date"), 'YYYY-MM') AS "payment_month", + SUM("amount") AS "monthly_total" + FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."PAYMENT" + GROUP BY "customer_id", + "payment_month"), + MonthlyChanges AS + (SELECT "customer_id", + ABS("monthly_total" - LAG("monthly_total", 1) OVER (PARTITION BY "customer_id" + ORDER BY "payment_month")) AS "change" + FROM MonthlyPayments), + AvgMonthlyChange AS + (SELECT "customer_id", + AVG("change") AS "avg_change" + FROM MonthlyChanges + WHERE "change" IS NOT NULL + GROUP BY "customer_id") +SELECT T1."first_name" || ' ' || T1."last_name" FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."CUSTOMER" AS T1 -JOIN AvgMonthlyChange AS T2 - ON T1."customer_id" = T2."customer_id" +JOIN AvgMonthlyChange AS T2 ON T1."customer_id" = T2."customer_id" ORDER BY T2."avg_change" DESC LIMIT 1; diff --git a/spider2/queries/snow_sf_local064.sql b/spider2/queries/snow_sf_local064.sql index 4254db8be7699ddb1505fd9096c9bffcf2e9425a..727fc105afa6f753e50543e2b71e7b4aea8b7c73 100644 --- a/spider2/queries/snow_sf_local064.sql +++ b/spider2/queries/snow_sf_local064.sql @@ -1,55 +1,67 @@ -WITH "months" AS ( - SELECT 1 AS "month_num" UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL - SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL - SELECT 9 UNION ALL SELECT 10 UNION ALL SELECT 11 UNION ALL SELECT 12 -), -"customers" AS ( - SELECT DISTINCT "customer_id" - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" -), -"txn_agg" AS ( - SELECT - "customer_id", - EXTRACT(month FROM CAST("txn_date" AS DATE)) AS "month_num", - SUM( - CASE - WHEN LOWER("txn_type") LIKE '%deposit%' THEN "txn_amount" - WHEN LOWER("txn_type") LIKE '%withdraw%' THEN - "txn_amount" - ELSE 0 - END - ) AS "month_sum" - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" - WHERE CAST("txn_date" AS DATE) >= DATE_FROM_PARTS(2020,1,1) - AND CAST("txn_date" AS DATE) < DATE_FROM_PARTS(2021,1,1) - GROUP BY "customer_id", EXTRACT(month FROM CAST("txn_date" AS DATE)) -), -"customer_months" AS ( - SELECT - c."customer_id", - m."month_num", - COALESCE(t."month_sum", 0) AS "balance" - FROM "customers" c - CROSS JOIN "months" m - LEFT JOIN "txn_agg" t - ON t."customer_id" = c."customer_id" - AND t."month_num" = m."month_num" -), -"month_stats" AS ( - SELECT - "month_num", - SUM(CASE WHEN "balance" > 0 THEN 1 ELSE 0 END) AS "positive_count", - AVG("balance") AS "avg_balance" - FROM "customer_months" - GROUP BY "month_num" -) -SELECT - h."month_num" AS "highest_month", - h."positive_count" AS "highest_positive_count", - h."avg_balance" AS "highest_avg_balance", - l."month_num" AS "lowest_month", - l."positive_count" AS "lowest_positive_count", - l."avg_balance" AS "lowest_avg_balance", - (h."avg_balance" - l."avg_balance") AS "average_difference" +WITH "months" AS + (SELECT 1 AS "month_num" + UNION ALL SELECT 2 + UNION ALL SELECT 3 + UNION ALL SELECT 4 + UNION ALL SELECT 5 + UNION ALL SELECT 6 + UNION ALL SELECT 7 + UNION ALL SELECT 8 + UNION ALL SELECT 9 + UNION ALL SELECT 10 + UNION ALL SELECT 11 + UNION ALL SELECT 12), + "customers" AS + (SELECT DISTINCT "customer_id" + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS"), + "txn_agg" AS + (SELECT "customer_id", + EXTRACT(MONTH + FROM CAST("txn_date" AS DATE)) AS "month_num", + SUM(CASE + WHEN LOWER("txn_type") LIKE '%deposit%' THEN "txn_amount" + WHEN LOWER("txn_type") LIKE '%withdraw%' THEN - "txn_amount" + ELSE 0 + END) AS "month_sum" + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" + WHERE CAST("txn_date" AS DATE) >= DATE_FROM_PARTS(2020, 1, 1) + AND CAST("txn_date" AS DATE) < DATE_FROM_PARTS(2021, 1, 1) + GROUP BY "customer_id", + EXTRACT(MONTH + FROM CAST("txn_date" AS DATE))), + "customer_months" AS + (SELECT c."customer_id", + m."month_num", + COALESCE(t."month_sum", 0) AS "balance" + FROM "customers" c + CROSS JOIN "months" m + LEFT JOIN "txn_agg" t ON t."customer_id" = c."customer_id" + AND t."month_num" = m."month_num"), + "month_stats" AS + (SELECT "month_num", + SUM(CASE + WHEN "balance" > 0 THEN 1 + ELSE 0 + END) AS "positive_count", + AVG("balance") AS "avg_balance" + FROM "customer_months" + GROUP BY "month_num") +SELECT h."month_num" AS "highest_month", + h."positive_count" AS "highest_positive_count", + h."avg_balance" AS "highest_avg_balance", + l."month_num" AS "lowest_month", + l."positive_count" AS "lowest_positive_count", + l."avg_balance" AS "lowest_avg_balance", + (h."avg_balance" - l."avg_balance") AS "average_difference" FROM - (SELECT * FROM "month_stats" ORDER BY "positive_count" DESC, "month_num" ASC LIMIT 1) h, - (SELECT * FROM "month_stats" ORDER BY "positive_count" ASC, "month_num" ASC LIMIT 1) l; + (SELECT * + FROM "month_stats" + ORDER BY "positive_count" DESC, + "month_num" ASC + LIMIT 1) h, + + (SELECT * + FROM "month_stats" + ORDER BY "positive_count" ASC, + "month_num" ASC + LIMIT 1) l; diff --git a/spider2/queries/snow_sf_local075.sql b/spider2/queries/snow_sf_local075.sql index 0f3051d403ccd098d3625dec50b54a76ccae7ea5..4bcb8a44c59f921bf62ea77866e5e6c1b2a66373 100644 --- a/spider2/queries/snow_sf_local075.sql +++ b/spider2/queries/snow_sf_local075.sql @@ -1,80 +1,75 @@ -WITH "product_events" AS ( - SELECT - p."product_id", - p."page_name", - p."product_category", - e."visit_id", - e."event_type", - e."sequence_number" - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."SHOPPING_CART_EVENTS" e - JOIN "BANK_SALES_TRADING"."BANK_SALES_TRADING"."SHOPPING_CART_PAGE_HIERARCHY" p - ON e."page_id" = p."page_id" - WHERE p."product_id" IS NOT NULL - AND p."page_id" NOT IN (1, 2, 12, 13) -), -"views_agg" AS ( - SELECT - "product_id", - "page_name", - "product_category", - COUNT(*) AS "total_views" - FROM "product_events" - WHERE "event_type" = 1 - GROUP BY "product_id", "page_name", "product_category" -), -"adds" AS ( - SELECT - "product_id", - "page_name", - "product_category", - "visit_id", - "sequence_number" AS "add_seq" - FROM "product_events" - WHERE "event_type" = 2 -), -"purchases" AS ( - SELECT - "visit_id", - "sequence_number" AS "purchase_seq" - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."SHOPPING_CART_EVENTS" - WHERE "event_type" = 3 -), -"add_outcomes" AS ( - SELECT - a."product_id", - a."page_name", - a."product_category", - a."visit_id", - a."add_seq", - CASE WHEN EXISTS ( - SELECT 1 FROM "purchases" p - WHERE p."visit_id" = a."visit_id" - AND p."purchase_seq" > a."add_seq" - ) THEN 1 ELSE 0 END AS "purchased_flag" - FROM "adds" a -), -"add_agg" AS ( - SELECT - "product_id", - "page_name", - "product_category", - COUNT(*) AS "total_adds_to_cart", - SUM("purchased_flag") AS "total_purchases", - COUNT(*) - SUM("purchased_flag") AS "left_in_cart_without_purchase" - FROM "add_outcomes" - GROUP BY "product_id", "page_name", "product_category" -) -SELECT - v."product_id", - v."page_name", - v."product_category", - v."total_views", - COALESCE(a."total_adds_to_cart", 0) AS "total_adds_to_cart", - COALESCE(a."left_in_cart_without_purchase", 0) AS "left_in_cart_without_purchase", - COALESCE(a."total_purchases", 0) AS "total_purchases" +WITH "product_events" AS + (SELECT p."product_id", + p."page_name", + p."product_category", + e."visit_id", + e."event_type", + e."sequence_number" + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."SHOPPING_CART_EVENTS" e + JOIN "BANK_SALES_TRADING"."BANK_SALES_TRADING"."SHOPPING_CART_PAGE_HIERARCHY" p ON e."page_id" = p."page_id" + WHERE p."product_id" IS NOT NULL + AND p."page_id" NOT IN (1, + 2, + 12, + 13)), + "views_agg" AS + (SELECT "product_id", + "page_name", + "product_category", + COUNT(*) AS "total_views" + FROM "product_events" + WHERE "event_type" = 1 + GROUP BY "product_id", + "page_name", + "product_category"), + "adds" AS + (SELECT "product_id", + "page_name", + "product_category", + "visit_id", + "sequence_number" AS "add_seq" + FROM "product_events" + WHERE "event_type" = 2), + "purchases" AS + (SELECT "visit_id", + "sequence_number" AS "purchase_seq" + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."SHOPPING_CART_EVENTS" + WHERE "event_type" = 3), + "add_outcomes" AS + (SELECT a."product_id", + a."page_name", + a."product_category", + a."visit_id", + a."add_seq", + CASE + WHEN EXISTS + (SELECT 1 + FROM "purchases" p + WHERE p."visit_id" = a."visit_id" + AND p."purchase_seq" > a."add_seq") THEN 1 + ELSE 0 + END AS "purchased_flag" + FROM "adds" a), + "add_agg" AS + (SELECT "product_id", + "page_name", + "product_category", + COUNT(*) AS "total_adds_to_cart", + SUM("purchased_flag") AS "total_purchases", + COUNT(*) - SUM("purchased_flag") AS "left_in_cart_without_purchase" + FROM "add_outcomes" + GROUP BY "product_id", + "page_name", + "product_category") +SELECT v."product_id", + v."page_name", + v."product_category", + v."total_views", + COALESCE(a."total_adds_to_cart", 0) AS "total_adds_to_cart", + COALESCE(a."left_in_cart_without_purchase", 0) AS "left_in_cart_without_purchase", + COALESCE(a."total_purchases", 0) AS "total_purchases" FROM "views_agg" v -LEFT JOIN "add_agg" a - ON v."product_id" = a."product_id" - AND v."page_name" = a."page_name" - AND v."product_category" = a."product_category" +LEFT JOIN "add_agg" a ON v."product_id" = a."product_id" +AND v."page_name" = a."page_name" +AND v."product_category" = a."product_category" ORDER BY v."product_id"; diff --git a/spider2/queries/snow_sf_local157.sql b/spider2/queries/snow_sf_local157.sql index 341e06d31c7e22b37ac649d8495fdecac24fa17e..e0cd5f1475c48c6159314f274c64b9ff74318727 100644 --- a/spider2/queries/snow_sf_local157.sql +++ b/spider2/queries/snow_sf_local157.sql @@ -1,27 +1,25 @@ -WITH "parsed_volume" AS ( - SELECT - "ticker", - TO_DATE("market_date", 'DD-MM-YYYY') AS "market_date", - CASE - WHEN "volume" = '-' THEN 0 - WHEN RIGHT("volume", 1) = 'K' THEN CAST(REPLACE("volume", 'K', '') AS FLOAT) * 1000 - WHEN RIGHT("volume", 1) = 'M' THEN CAST(REPLACE("volume", 'M', '') AS FLOAT) * 1000000 - ELSE CAST("volume" AS FLOAT) - END AS "volume_cleaned" - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."BITCOIN_PRICES" - WHERE TO_DATE("market_date", 'DD-MM-YYYY') BETWEEN '2021-08-01' AND '2021-08-10' -), -"lagged_volume" AS ( - SELECT - "ticker", - "market_date", - "volume_cleaned", - LAG(IFF("volume_cleaned" = 0, NULL, "volume_cleaned"), 1) IGNORE NULLS OVER (PARTITION BY "ticker" ORDER BY "market_date") AS "previous_day_volume" - FROM "parsed_volume" -) -SELECT - "ticker", - "market_date", - ("volume_cleaned" - "previous_day_volume") / "previous_day_volume" * 100 AS "volume_percentage_change" +WITH "parsed_volume" AS + (SELECT "ticker", + TO_DATE("market_date", 'DD-MM-YYYY') AS "market_date", + CASE + WHEN "volume" = '-' THEN 0 + WHEN RIGHT("volume", 1) = 'K' THEN CAST(REPLACE("volume", 'K', '') AS FLOAT) * 1000 + WHEN RIGHT("volume", 1) = 'M' THEN CAST(REPLACE("volume", 'M', '') AS FLOAT) * 1000000 + ELSE CAST("volume" AS FLOAT) + END AS "volume_cleaned" + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."BITCOIN_PRICES" + WHERE TO_DATE("market_date", 'DD-MM-YYYY') BETWEEN '2021-08-01' AND '2021-08-10'), + "lagged_volume" AS + (SELECT "ticker", + "market_date", + "volume_cleaned", + LAG(IFF("volume_cleaned" = 0, NULL, "volume_cleaned"), 1) + IGNORE NULLS OVER (PARTITION BY "ticker" + ORDER BY "market_date") AS "previous_day_volume" + FROM "parsed_volume") +SELECT "ticker", + "market_date", + ("volume_cleaned" - "previous_day_volume") / "previous_day_volume" * 100 AS "volume_percentage_change" FROM "lagged_volume" -ORDER BY "ticker", "market_date"; +ORDER BY "ticker", + "market_date"; diff --git a/spider2/queries/snow_sf_local194.sql b/spider2/queries/snow_sf_local194.sql index b0d6a2a9fc89d640cfa03a0b25223ca64bebf96d..6eb80e8d5551784b858e7dd14e660f9b5e3caf41 100644 --- a/spider2/queries/snow_sf_local194.sql +++ b/spider2/queries/snow_sf_local194.sql @@ -4,70 +4,58 @@ -- 3. The actor’s share in a film is the film’s total revenue divided equally by the number of actors in that film. -- 4. For each actor we output up to three rows (one per film) plus, on every row, the average of the actor-share across those top films. -- 5. Actors with fewer than three films will return whatever number (<3) they have. - -WITH "film_revenue" AS ( - -- total revenue per film - SELECT - f."film_id", - f."title" AS "film_title", - SUM(p."amount") AS "total_revenue" - FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM" f - JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."INVENTORY" i ON f."film_id" = i."film_id" - JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."RENTAL" r ON i."inventory_id" = r."inventory_id" - JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."PAYMENT" p ON r."rental_id" = p."rental_id" - GROUP BY f."film_id", f."title" -), -"film_actor_cnt" AS ( - -- number of actors in each film - SELECT - fa."film_id", - COUNT(DISTINCT fa."actor_id") AS "actor_count" - FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM_ACTOR" fa - GROUP BY fa."film_id" -), -"film_stats" AS ( - -- combine revenue and actor count, compute per-actor share - SELECT - fr."film_id", + WITH "film_revenue" AS + (-- total revenue per film + SELECT f."film_id", + f."title" AS "film_title", + SUM(p."amount") AS "total_revenue" + FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM" f + JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."INVENTORY" i ON f."film_id" = i."film_id" + JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."RENTAL" r ON i."inventory_id" = r."inventory_id" + JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."PAYMENT" p ON r."rental_id" = p."rental_id" + GROUP BY f."film_id", + f."title"), + "film_actor_cnt" AS + (-- number of actors in each film + SELECT fa."film_id", + COUNT(DISTINCT fa."actor_id") AS "actor_count" + FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM_ACTOR" fa + GROUP BY fa."film_id"), + "film_stats" AS + (-- combine revenue and actor count, compute per-actor share + SELECT fr."film_id", fr."film_title", fr."total_revenue", fac."actor_count", fr."total_revenue" / fac."actor_count" AS "revenue_per_actor" - FROM "film_revenue" fr - JOIN "film_actor_cnt" fac ON fr."film_id" = fac."film_id" -), -"actor_film" AS ( - -- link each actor to films with their share, rank films by total revenue within each actor - SELECT - a."actor_id", + FROM "film_revenue" fr + JOIN "film_actor_cnt" fac ON fr."film_id" = fac."film_id"), + "actor_film" AS + (-- link each actor to films with their share, rank films by total revenue within each actor + SELECT a."actor_id", a."first_name", a."last_name", fs."film_id", fs."film_title", fs."total_revenue", fs."revenue_per_actor", - ROW_NUMBER() OVER ( - PARTITION BY a."actor_id" - ORDER BY fs."total_revenue" DESC, fs."film_id" ASC) AS "film_rank" - FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."ACTOR" a - JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM_ACTOR" fa ON a."actor_id" = fa."actor_id" - JOIN "film_stats" fs ON fa."film_id" = fs."film_id" -), -"top3" AS ( - -- keep only the top 3 films per actor - SELECT * - FROM "actor_film" - WHERE "film_rank" <= 3 -) -SELECT - "actor_id", - "first_name", - "last_name", - "film_title", - "total_revenue", - "revenue_per_actor" AS "actor_share_in_film", - AVG("revenue_per_actor") OVER ( - PARTITION BY "actor_id" - ) AS "avg_revenue_per_actor_top3" + ROW_NUMBER() OVER (PARTITION BY a."actor_id" + ORDER BY fs."total_revenue" DESC, fs."film_id" ASC) AS "film_rank" + FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."ACTOR" a + JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM_ACTOR" fa ON a."actor_id" = fa."actor_id" + JOIN "film_stats" fs ON fa."film_id" = fs."film_id"), + "top3" AS + (-- keep only the top 3 films per actor + SELECT * + FROM "actor_film" + WHERE "film_rank" <= 3) +SELECT "actor_id", + "first_name", + "last_name", + "film_title", + "total_revenue", + "revenue_per_actor" AS "actor_share_in_film", + AVG("revenue_per_actor") OVER (PARTITION BY "actor_id") AS "avg_revenue_per_actor_top3" FROM "top3" -ORDER BY "actor_id", "film_rank"; +ORDER BY "actor_id", + "film_rank"; diff --git a/spider2/queries/snow_sf_local195.sql b/spider2/queries/snow_sf_local195.sql index 36a0558e0c717dc2bd5a933316b10a69727015d6..69b05ad1ccd3698c8d5bf9bc989d6fd4272f6dea 100644 --- a/spider2/queries/snow_sf_local195.sql +++ b/spider2/queries/snow_sf_local195.sql @@ -1,31 +1,19 @@ -WITH TopActors AS ( - SELECT - "actor_id" - FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM_ACTOR" - GROUP BY - "actor_id" - ORDER BY - COUNT("film_id") DESC - LIMIT 5 -), -CustomersWithTopActorFilms AS ( - SELECT DISTINCT - R."customer_id" - FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."RENTAL" AS R - JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."INVENTORY" AS I - ON R."inventory_id" = I."inventory_id" - JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM_ACTOR" AS FA - ON I."film_id" = FA."film_id" - WHERE - FA."actor_id" IN (SELECT "actor_id" FROM TopActors) -) +WITH TopActors AS + (SELECT "actor_id" + FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM_ACTOR" + GROUP BY "actor_id" + ORDER BY COUNT("film_id") DESC + LIMIT 5), + CustomersWithTopActorFilms AS + (SELECT DISTINCT R."customer_id" + FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."RENTAL" AS R + JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."INVENTORY" AS I ON R."inventory_id" = I."inventory_id" + JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."FILM_ACTOR" AS FA ON I."film_id" = FA."film_id" + WHERE FA."actor_id" IN + (SELECT "actor_id" + FROM TopActors)) SELECT - ( - SELECT - COUNT("customer_id") - FROM CustomersWithTopActorFilms - ) * 100.0 / ( - SELECT - COUNT("customer_id") - FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."CUSTOMER" - ) AS PercentageOfCustomers; + (SELECT COUNT("customer_id") + FROM CustomersWithTopActorFilms) * 100.0 / + (SELECT COUNT("customer_id") + FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."CUSTOMER") AS PercentageOfCustomers; diff --git a/spider2/queries/snow_sf_local199.sql b/spider2/queries/snow_sf_local199.sql index 75bf5b6b362d2ebe0dd5366960f860edee5e941d..6cfe811d880e86d8b4e83a40b9f8a4516a2b3ca3 100644 --- a/spider2/queries/snow_sf_local199.sql +++ b/spider2/queries/snow_sf_local199.sql @@ -1,29 +1,26 @@ -WITH rentals_with_store AS ( - SELECT - s."store_id" AS "store_id", - TRY_TO_TIMESTAMP(r."rental_date") AS "rental_ts" - FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."RENTAL" r - JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."STAFF" s - ON r."staff_id" = s."staff_id" - WHERE TRY_TO_TIMESTAMP(r."rental_date") IS NOT NULL -), -monthly_counts AS ( - SELECT - "store_id", - EXTRACT(YEAR FROM "rental_ts") AS "year", - EXTRACT(MONTH FROM "rental_ts") AS "month", - COUNT(*) AS "total_rentals" - FROM rentals_with_store - GROUP BY "store_id", "year", "month" -) -SELECT - "store_id", - "year", - "month", - "total_rentals" -FROM monthly_counts -QUALIFY DENSE_RANK() OVER ( - PARTITION BY "store_id" - ORDER BY "total_rentals" DESC -) = 1 -ORDER BY "store_id", "year", "month" +WITH rentals_with_store AS + (SELECT s."store_id" AS "store_id", + TRY_TO_TIMESTAMP(r."rental_date") AS "rental_ts" + FROM "SQLITE_SAKILA"."SQLITE_SAKILA"."RENTAL" r + JOIN "SQLITE_SAKILA"."SQLITE_SAKILA"."STAFF" s ON r."staff_id" = s."staff_id" + WHERE TRY_TO_TIMESTAMP(r."rental_date") IS NOT NULL), + monthly_counts AS + (SELECT "store_id", + EXTRACT(YEAR + FROM "rental_ts") AS "year", + EXTRACT(MONTH + FROM "rental_ts") AS "month", + COUNT(*) AS "total_rentals" + FROM rentals_with_store + GROUP BY "store_id", + "year", + "month") +SELECT "store_id", + "year", + "month", + "total_rentals" +FROM monthly_counts QUALIFY DENSE_RANK() OVER (PARTITION BY "store_id" + ORDER BY "total_rentals" DESC) = 1 +ORDER BY "store_id", + "year", + "month" diff --git a/spider2/queries/snow_sf_local209.sql b/spider2/queries/snow_sf_local209.sql index 48cfe617d57a9ad6423b1d50a1b958adf64e5c28..80bce712fe5432f92315b302b723ccfab038d9a7 100644 --- a/spider2/queries/snow_sf_local209.sql +++ b/spider2/queries/snow_sf_local209.sql @@ -1,42 +1,29 @@ -WITH "top_store" AS ( - SELECT - o."store_id" - FROM "DELIVERY_CENTER"."DELIVERY_CENTER"."ORDERS" o - GROUP BY o."store_id" - ORDER BY COUNT(*) DESC, o."store_id" - FETCH FIRST 1 ROW ONLY -) -SELECT - ts."store_id", - s."store_name", - COUNT(*) AS "total_orders", - SUM( - CASE - WHEN EXISTS ( - SELECT 1 - FROM "DELIVERY_CENTER"."DELIVERY_CENTER"."DELIVERIES" d - WHERE d."delivery_order_id" = o."delivery_order_id" - AND d."delivery_status" = 'DELIVERED' - ) THEN 1 - ELSE 0 - END - ) AS "delivered_orders", - SUM( - CASE - WHEN EXISTS ( - SELECT 1 - FROM "DELIVERY_CENTER"."DELIVERY_CENTER"."DELIVERIES" d - WHERE d."delivery_order_id" = o."delivery_order_id" - AND d."delivery_status" = 'DELIVERED' - ) THEN 1 - ELSE 0 - END - )::FLOAT / COUNT(*) AS "delivered_ratio" +WITH "top_store" AS + (SELECT o."store_id" + FROM "DELIVERY_CENTER"."DELIVERY_CENTER"."ORDERS" o + GROUP BY o."store_id" + ORDER BY COUNT(*) DESC, o."store_id" FETCH FIRST 1 ROW ONLY) +SELECT ts."store_id", + s."store_name", + COUNT(*) AS "total_orders", + SUM(CASE + WHEN EXISTS + (SELECT 1 + FROM "DELIVERY_CENTER"."DELIVERY_CENTER"."DELIVERIES" d + WHERE d."delivery_order_id" = o."delivery_order_id" + AND d."delivery_status" = 'DELIVERED') THEN 1 + ELSE 0 + END) AS "delivered_orders", + SUM(CASE + WHEN EXISTS + (SELECT 1 + FROM "DELIVERY_CENTER"."DELIVERY_CENTER"."DELIVERIES" d + WHERE d."delivery_order_id" = o."delivery_order_id" + AND d."delivery_status" = 'DELIVERED') THEN 1 + ELSE 0 + END)::FLOAT / COUNT(*) AS "delivered_ratio" FROM "DELIVERY_CENTER"."DELIVERY_CENTER"."ORDERS" o -JOIN "top_store" ts - ON o."store_id" = ts."store_id" -JOIN "DELIVERY_CENTER"."DELIVERY_CENTER"."STORES" s - ON s."store_id" = ts."store_id" -GROUP BY - ts."store_id", - s."store_name"; +JOIN "top_store" ts ON o."store_id" = ts."store_id" +JOIN "DELIVERY_CENTER"."DELIVERY_CENTER"."STORES" s ON s."store_id" = ts."store_id" +GROUP BY ts."store_id", + s."store_name"; diff --git a/spider2/queries/snow_sf_local210.sql b/spider2/queries/snow_sf_local210.sql index 7eb7311744af94d9d22a4cc14adede28c509e806..9ad185f68218ccb95b53ca5588f461e2ac571928 100644 --- a/spider2/queries/snow_sf_local210.sql +++ b/spider2/queries/snow_sf_local210.sql @@ -1,35 +1,51 @@ -WITH completed_orders AS ( - SELECT - o."order_id", - o."store_id", - o."order_created_month", - o."order_created_year" - FROM DELIVERY_CENTER.DELIVERY_CENTER.ORDERS o - WHERE o."order_created_year" = 2021 - AND o."order_created_month" IN (2,3) - AND UPPER(TRIM(o."order_status")) = 'FINISHED' -) -SELECT - h."hub_id" AS "hub_id", - h."hub_name" AS "hub_name", - CAST(SUM(CASE WHEN c."order_created_month" = 2 THEN 1 ELSE 0 END) AS INTEGER) AS "orders_february", - CAST(SUM(CASE WHEN c."order_created_month" = 3 THEN 1 ELSE 0 END) AS INTEGER) AS "orders_march", - ( - CAST(SUM(CASE WHEN c."order_created_month" = 3 THEN 1 ELSE 0 END) AS FLOAT) - - CAST(SUM(CASE WHEN c."order_created_month" = 2 THEN 1 ELSE 0 END) AS FLOAT) - ) / NULLIF(CAST(SUM(CASE WHEN c."order_created_month" = 2 THEN 1 ELSE 0 END) AS FLOAT), 0) AS "pct_increase" +WITH completed_orders AS + (SELECT o."order_id", + o."store_id", + o."order_created_month", + o."order_created_year" + FROM DELIVERY_CENTER.DELIVERY_CENTER.ORDERS o + WHERE o."order_created_year" = 2021 + AND o."order_created_month" IN (2, + 3) + AND UPPER(TRIM(o."order_status")) = 'FINISHED') +SELECT h."hub_id" AS "hub_id", + h."hub_name" AS "hub_name", + CAST(SUM(CASE + WHEN c."order_created_month" = 2 THEN 1 + ELSE 0 + END) AS INTEGER) AS "orders_february", + CAST(SUM(CASE + WHEN c."order_created_month" = 3 THEN 1 + ELSE 0 + END) AS INTEGER) AS "orders_march", + (CAST(SUM(CASE + WHEN c."order_created_month" = 3 THEN 1 + ELSE 0 + END) AS FLOAT) - CAST(SUM(CASE + WHEN c."order_created_month" = 2 THEN 1 + ELSE 0 + END) AS FLOAT)) / NULLIF(CAST(SUM(CASE + WHEN c."order_created_month" = 2 THEN 1 + ELSE 0 + END) AS FLOAT), 0) AS "pct_increase" FROM completed_orders c -JOIN DELIVERY_CENTER.DELIVERY_CENTER.STORES s - ON c."store_id" = s."store_id" -JOIN DELIVERY_CENTER.DELIVERY_CENTER.HUBS h - ON s."hub_id" = h."hub_id" -GROUP BY h."hub_id", h."hub_name" -HAVING - SUM(CASE WHEN c."order_created_month" = 2 THEN 1 ELSE 0 END) > 0 - AND ( - ( - CAST(SUM(CASE WHEN c."order_created_month" = 3 THEN 1 ELSE 0 END) AS FLOAT) - - CAST(SUM(CASE WHEN c."order_created_month" = 2 THEN 1 ELSE 0 END) AS FLOAT) - ) / NULLIF(CAST(SUM(CASE WHEN c."order_created_month" = 2 THEN 1 ELSE 0 END) AS FLOAT), 0) - ) > 0.2 -ORDER BY "pct_increase" DESC, "hub_id" ASC; +JOIN DELIVERY_CENTER.DELIVERY_CENTER.STORES s ON c."store_id" = s."store_id" +JOIN DELIVERY_CENTER.DELIVERY_CENTER.HUBS h ON s."hub_id" = h."hub_id" +GROUP BY h."hub_id", + h."hub_name" +HAVING SUM(CASE + WHEN c."order_created_month" = 2 THEN 1 + ELSE 0 + END) > 0 +AND ((CAST(SUM(CASE + WHEN c."order_created_month" = 3 THEN 1 + ELSE 0 + END) AS FLOAT) - CAST(SUM(CASE + WHEN c."order_created_month" = 2 THEN 1 + ELSE 0 + END) AS FLOAT)) / NULLIF(CAST(SUM(CASE + WHEN c."order_created_month" = 2 THEN 1 + ELSE 0 + END) AS FLOAT), 0)) > 0.2 +ORDER BY "pct_increase" DESC, + "hub_id" ASC; diff --git a/spider2/queries/snow_sf_local218.sql b/spider2/queries/snow_sf_local218.sql index ba4181bdbb2370f4a074ef16acefff0e5f0618aa..51f4b1feb0ef87101179255879c374d82af7989d 100644 --- a/spider2/queries/snow_sf_local218.sql +++ b/spider2/queries/snow_sf_local218.sql @@ -1,40 +1,32 @@ -WITH team_goals_by_season AS ( - -- Get goals scored by each team in each season (as home team) - SELECT - "home_team_api_id" AS "team_api_id", - "season", - SUM("home_team_goal") AS "goals" - FROM "EU_SOCCER"."EU_SOCCER"."MATCH" - GROUP BY "home_team_api_id", "season" - - UNION ALL - - -- Get goals scored by each team in each season (as away team) - SELECT - "away_team_api_id" AS "team_api_id", - "season", - SUM("away_team_goal") AS "goals" - FROM "EU_SOCCER"."EU_SOCCER"."MATCH" - GROUP BY "away_team_api_id", "season" -), -total_goals_per_team_season AS ( - -- Combine home and away goals for each team in each season - SELECT - "team_api_id", - "season", - SUM("goals") AS "total_goals" - FROM team_goals_by_season - GROUP BY "team_api_id", "season" -), -max_goals_per_team AS ( - -- Find the maximum goals for each team across all seasons - SELECT - "team_api_id", - MAX("total_goals") AS "max_season_goals" - FROM total_goals_per_team_season - GROUP BY "team_api_id" -) --- Calculate the median of the maximum season goals -SELECT - MEDIAN("max_season_goals") AS "median_of_highest_season_goals" +WITH team_goals_by_season AS + (-- Get goals scored by each team in each season (as home team) + SELECT "home_team_api_id" AS "team_api_id", + "season", + SUM("home_team_goal") AS "goals" + FROM "EU_SOCCER"."EU_SOCCER"."MATCH" + GROUP BY "home_team_api_id", + "season" + UNION ALL -- Get goals scored by each team in each season (as away team) + SELECT "away_team_api_id" AS "team_api_id", + "season", + SUM("away_team_goal") AS "goals" + FROM "EU_SOCCER"."EU_SOCCER"."MATCH" + GROUP BY "away_team_api_id", + "season"), + total_goals_per_team_season AS + (-- Combine home and away goals for each team in each season + SELECT "team_api_id", + "season", + SUM("goals") AS "total_goals" + FROM team_goals_by_season + GROUP BY "team_api_id", + "season"), + max_goals_per_team AS + (-- Find the maximum goals for each team across all seasons + SELECT "team_api_id", + MAX("total_goals") AS "max_season_goals" + FROM total_goals_per_team_season + GROUP BY "team_api_id") -- Calculate the median of the maximum season goals + +SELECT MEDIAN("max_season_goals") AS "median_of_highest_season_goals" FROM max_goals_per_team; diff --git a/spider2/queries/snow_sf_local244.sql b/spider2/queries/snow_sf_local244.sql index 9a78091632f461cd1d1d87e82489589f49fca8d3..da09cbb712937b09d0ff22f8fd6da4a20110780c 100644 --- a/spider2/queries/snow_sf_local244.sql +++ b/spider2/queries/snow_sf_local244.sql @@ -1,46 +1,37 @@ -WITH stats AS ( - SELECT - MIN("Milliseconds") / 60000.0 AS min_length, - AVG("Milliseconds") / 60000.0 AS avg_length, - MAX("Milliseconds") / 60000.0 AS max_length - FROM "MUSIC"."MUSIC"."TRACK" -), -track_lengths AS ( - SELECT - "TrackId", - "Milliseconds" / 60000.0 AS length_minutes - FROM "MUSIC"."MUSIC"."TRACK" -), -revenue AS ( - SELECT - "TrackId", - SUM("UnitPrice" * "Quantity") AS track_revenue - FROM "MUSIC"."MUSIC"."INVOICELINE" - GROUP BY "TrackId" -), -track_data AS ( - SELECT - tl."TrackId", - tl.length_minutes, - COALESCE(rv.track_revenue, 0) AS track_revenue, - st.min_length, - st.avg_length, - st.max_length, - (st.min_length + st.avg_length) / 2 AS lower_midpoint, - (st.avg_length + st.max_length) / 2 AS upper_midpoint - FROM track_lengths tl - CROSS JOIN stats st - LEFT JOIN revenue rv ON tl."TrackId" = rv."TrackId" -) -SELECT - CASE - WHEN length_minutes < lower_midpoint THEN 'short' - WHEN length_minutes < upper_midpoint THEN 'medium' - ELSE 'long' - END AS category, - MIN(length_minutes) AS min_minutes, - MAX(length_minutes) AS max_minutes, - SUM(track_revenue) AS total_revenue +WITH stats AS + (SELECT MIN("Milliseconds") / 60000.0 AS min_length, + AVG("Milliseconds") / 60000.0 AS avg_length, + MAX("Milliseconds") / 60000.0 AS max_length + FROM "MUSIC"."MUSIC"."TRACK"), + track_lengths AS + (SELECT "TrackId", + "Milliseconds" / 60000.0 AS length_minutes + FROM "MUSIC"."MUSIC"."TRACK"), + revenue AS + (SELECT "TrackId", + SUM("UnitPrice" * "Quantity") AS track_revenue + FROM "MUSIC"."MUSIC"."INVOICELINE" + GROUP BY "TrackId"), + track_data AS + (SELECT tl."TrackId", + tl.length_minutes, + COALESCE(rv.track_revenue, 0) AS track_revenue, + st.min_length, + st.avg_length, + st.max_length, + (st.min_length + st.avg_length) / 2 AS lower_midpoint, + (st.avg_length + st.max_length) / 2 AS upper_midpoint + FROM track_lengths tl + CROSS JOIN stats st + LEFT JOIN revenue rv ON tl."TrackId" = rv."TrackId") +SELECT CASE + WHEN length_minutes < lower_midpoint THEN 'short' + WHEN length_minutes < upper_midpoint THEN 'medium' + ELSE 'long' + END AS category, + MIN(length_minutes) AS min_minutes, + MAX(length_minutes) AS max_minutes, + SUM(track_revenue) AS total_revenue FROM track_data GROUP BY category ORDER BY category diff --git a/spider2/queries/snow_sf_local263.sql b/spider2/queries/snow_sf_local263.sql index f5b31419f046e749096908e9a129c091a90a9b00..94966a091aa52c5a8d992e950ade3c4d47845e31 100644 --- a/spider2/queries/snow_sf_local263.sql +++ b/spider2/queries/snow_sf_local263.sql @@ -1,68 +1,75 @@ -WITH step_comp AS ( - SELECT - "name", - "version", - "step", - MAX(CASE WHEN "model" = 'Stack' THEN "test_score" END) AS "stack_score", - MAX(CASE WHEN "model" != 'Stack' THEN "test_score" END) AS "max_non_stack" - FROM "STACKING"."STACKING"."MODEL_SCORE" - GROUP BY "name", "version", "step" -), -model_status AS ( - SELECT - "name", - "version", - CASE - WHEN MAX(CASE WHEN "stack_score" > "max_non_stack" THEN 1 ELSE 0 END) = 1 THEN 'strong' - WHEN MAX(CASE WHEN "stack_score" = "max_non_stack" THEN 1 ELSE 0 END) = 1 THEN 'soft' - ELSE NULL - END AS "status" - FROM step_comp - WHERE "stack_score" IS NOT NULL AND "max_non_stack" IS NOT NULL - GROUP BY "name", "version" -), -l1_per_model AS ( - SELECT - "name", - "version", - "L1_model" - FROM ( - SELECT - "name", - "version", - "L1_model", - COUNT(DISTINCT "step") AS "cnt", - ROW_NUMBER() OVER (PARTITION BY "name", "version" ORDER BY COUNT(DISTINCT "step") DESC, "L1_model" ASC) AS "rn" - FROM "STACKING"."STACKING"."MODEL" - WHERE "L1_model" IS NOT NULL - GROUP BY "name", "version", "L1_model" - ) - WHERE "rn" = 1 -), -status_l1_counts AS ( - SELECT - ms."status", - lpm."L1_model", - COUNT(*) AS "occurrence_count" - FROM model_status ms - JOIN l1_per_model lpm - ON ms."name" = lpm."name" +WITH step_comp AS + (SELECT "name", + "version", + "step", + MAX(CASE + WHEN "model" = 'Stack' THEN "test_score" + END) AS "stack_score", + MAX(CASE + WHEN "model" != 'Stack' THEN "test_score" + END) AS "max_non_stack" + FROM "STACKING"."STACKING"."MODEL_SCORE" + GROUP BY "name", + "version", + "step"), + model_status AS + (SELECT "name", + "version", + CASE + WHEN MAX(CASE + WHEN "stack_score" > "max_non_stack" THEN 1 + ELSE 0 + END) = 1 THEN 'strong' + WHEN MAX(CASE + WHEN "stack_score" = "max_non_stack" THEN 1 + ELSE 0 + END) = 1 THEN 'soft' + ELSE NULL + END AS "status" + FROM step_comp + WHERE "stack_score" IS NOT NULL + AND "max_non_stack" IS NOT NULL + GROUP BY "name", + "version"), + l1_per_model AS + (SELECT "name", + "version", + "L1_model" + FROM + (SELECT "name", + "version", + "L1_model", + COUNT(DISTINCT "step") AS "cnt", + ROW_NUMBER() OVER (PARTITION BY "name", "version" + ORDER BY COUNT(DISTINCT "step") DESC, "L1_model" ASC) AS "rn" + FROM "STACKING"."STACKING"."MODEL" + WHERE "L1_model" IS NOT NULL + GROUP BY "name", + "version", + "L1_model") + WHERE "rn" = 1), + status_l1_counts AS + (SELECT ms."status", + lpm."L1_model", + COUNT(*) AS "occurrence_count" + FROM model_status ms + JOIN l1_per_model lpm ON ms."name" = lpm."name" AND ms."version" = lpm."version" - WHERE ms."status" IN ('strong', 'soft') - GROUP BY ms."status", lpm."L1_model" -), -top_l1_per_status AS ( - SELECT - "status", - "L1_model", - "occurrence_count", - RANK() OVER (PARTITION BY "status" ORDER BY "occurrence_count" DESC) AS "rnk" - FROM status_l1_counts -) -SELECT - "status", - "L1_model", - "occurrence_count" + WHERE ms."status" IN ('strong', + 'soft') + GROUP BY ms."status", + lpm."L1_model"), + top_l1_per_status AS + (SELECT "status", + "L1_model", + "occurrence_count", + RANK() OVER (PARTITION BY "status" + ORDER BY "occurrence_count" DESC) AS "rnk" + FROM status_l1_counts) +SELECT "status", + "L1_model", + "occurrence_count" FROM top_l1_per_status WHERE "rnk" = 1 -ORDER BY "status", "L1_model" +ORDER BY "status", + "L1_model" diff --git a/spider2/queries/snow_sf_local269.sql b/spider2/queries/snow_sf_local269.sql index 1376410f1619ca110709e5945e906b3f2f79039d..8736b9fb8249ed5aa12a2eeb951e0cc0c006f306 100644 --- a/spider2/queries/snow_sf_local269.sql +++ b/spider2/queries/snow_sf_local269.sql @@ -1,40 +1,29 @@ -WITH RECURSIVE exploded (root_id, child_id, qty) AS ( - SELECT - pr."packaging_id", - pr."contains_id", - pr."qty" - FROM "ORACLE_SQL"."ORACLE_SQL"."PACKAGING_RELATIONS" AS pr - WHERE pr."packaging_id" NOT IN ( - SELECT "contains_id" +WITH RECURSIVE exploded (root_id, child_id, qty) AS + (SELECT pr."packaging_id", + pr."contains_id", + pr."qty" + FROM "ORACLE_SQL"."ORACLE_SQL"."PACKAGING_RELATIONS" AS pr + WHERE pr."packaging_id" NOT IN + (SELECT "contains_id" FROM "ORACLE_SQL"."ORACLE_SQL"."PACKAGING_RELATIONS" - WHERE "contains_id" IS NOT NULL - ) - UNION ALL - SELECT - exploded.root_id, - pr2."contains_id", - exploded.qty * pr2."qty" - FROM exploded - JOIN "ORACLE_SQL"."ORACLE_SQL"."PACKAGING_RELATIONS" AS pr2 - ON pr2."packaging_id" = exploded.child_id -), -leaf_nodes AS ( - SELECT DISTINCT pr."contains_id" AS leaf_id - FROM "ORACLE_SQL"."ORACLE_SQL"."PACKAGING_RELATIONS" AS pr - WHERE pr."contains_id" NOT IN ( - SELECT "packaging_id" + WHERE "contains_id" IS NOT NULL) + UNION ALL SELECT exploded.root_id, + pr2."contains_id", + exploded.qty * pr2."qty" + FROM exploded + JOIN "ORACLE_SQL"."ORACLE_SQL"."PACKAGING_RELATIONS" AS pr2 ON pr2."packaging_id" = exploded.child_id), + leaf_nodes AS + (SELECT DISTINCT pr."contains_id" AS leaf_id + FROM "ORACLE_SQL"."ORACLE_SQL"."PACKAGING_RELATIONS" AS pr + WHERE pr."contains_id" NOT IN + (SELECT "packaging_id" FROM "ORACLE_SQL"."ORACLE_SQL"."PACKAGING_RELATIONS" - WHERE "packaging_id" IS NOT NULL - ) -), -root_totals AS ( - SELECT - exploded.root_id, - SUM(exploded.qty) AS total_leaf_qty - FROM exploded - JOIN leaf_nodes - ON leaf_nodes.leaf_id = exploded.child_id - GROUP BY exploded.root_id -) + WHERE "packaging_id" IS NOT NULL)), + root_totals AS + (SELECT exploded.root_id, + SUM(exploded.qty) AS total_leaf_qty + FROM exploded + JOIN leaf_nodes ON leaf_nodes.leaf_id = exploded.child_id + GROUP BY exploded.root_id) SELECT AVG(total_leaf_qty) AS average_total_quantity FROM root_totals; diff --git a/spider2/queries/snow_sf_local283.sql b/spider2/queries/snow_sf_local283.sql index 52d607cd9f57ca70c4a1b86149ba38e1216a0818..71039cbeb7af0a10538a6bd42e410aab6b4574a4 100644 --- a/spider2/queries/snow_sf_local283.sql +++ b/spider2/queries/snow_sf_local283.sql @@ -1,74 +1,63 @@ -WITH per_team_match AS ( - SELECT - m."season", - m."league_id", - m."home_team_api_id" AS "team_api_id", - m."home_team_goal" AS "gf", - m."away_team_goal" AS "ga", - CASE - WHEN m."home_team_goal" > m."away_team_goal" THEN 3 - WHEN m."home_team_goal" = m."away_team_goal" THEN 1 - ELSE 0 - END AS "points" - FROM "EU_SOCCER"."EU_SOCCER"."MATCH" AS m - WHERE m."home_team_goal" IS NOT NULL AND m."away_team_goal" IS NOT NULL - UNION ALL - SELECT - m."season", - m."league_id", - m."away_team_api_id" AS "team_api_id", - m."away_team_goal" AS "gf", - m."home_team_goal" AS "ga", - CASE - WHEN m."away_team_goal" > m."home_team_goal" THEN 3 - WHEN m."away_team_goal" = m."home_team_goal" THEN 1 - ELSE 0 - END AS "points" - FROM "EU_SOCCER"."EU_SOCCER"."MATCH" AS m - WHERE m."home_team_goal" IS NOT NULL AND m."away_team_goal" IS NOT NULL -), -team_season_points AS ( - SELECT - p."season", - p."league_id", - p."team_api_id", - SUM(p."points") AS "total_points", - SUM(p."gf") AS "goals_for", - SUM(p."ga") AS "goals_against" - FROM per_team_match p - GROUP BY p."season", p."league_id", p."team_api_id" -), -ranked_champions AS ( - SELECT - tsp."season", - tsp."league_id", - tsp."team_api_id", - tsp."total_points", - tsp."goals_for", - tsp."goals_against", - ROW_NUMBER() OVER ( - PARTITION BY tsp."season", tsp."league_id" - ORDER BY tsp."total_points" DESC, - (tsp."goals_for" - tsp."goals_against") DESC, - tsp."goals_for" DESC, - t."team_long_name" ASC - ) AS "rn" - FROM team_season_points tsp - JOIN "EU_SOCCER"."EU_SOCCER"."TEAM" t - ON tsp."team_api_id" = t."team_api_id" -) -SELECT - rc."season", - t."team_long_name" AS "champion_team", - l."name" AS "league", - c."name" AS "country", - rc."total_points" +WITH per_team_match AS + (SELECT m."season", + m."league_id", + m."home_team_api_id" AS "team_api_id", + m."home_team_goal" AS "gf", + m."away_team_goal" AS "ga", + CASE + WHEN m."home_team_goal" > m."away_team_goal" THEN 3 + WHEN m."home_team_goal" = m."away_team_goal" THEN 1 + ELSE 0 + END AS "points" + FROM "EU_SOCCER"."EU_SOCCER"."MATCH" AS m + WHERE m."home_team_goal" IS NOT NULL + AND m."away_team_goal" IS NOT NULL + UNION ALL SELECT m."season", + m."league_id", + m."away_team_api_id" AS "team_api_id", + m."away_team_goal" AS "gf", + m."home_team_goal" AS "ga", + CASE + WHEN m."away_team_goal" > m."home_team_goal" THEN 3 + WHEN m."away_team_goal" = m."home_team_goal" THEN 1 + ELSE 0 + END AS "points" + FROM "EU_SOCCER"."EU_SOCCER"."MATCH" AS m + WHERE m."home_team_goal" IS NOT NULL + AND m."away_team_goal" IS NOT NULL), + team_season_points AS + (SELECT p."season", + p."league_id", + p."team_api_id", + SUM(p."points") AS "total_points", + SUM(p."gf") AS "goals_for", + SUM(p."ga") AS "goals_against" + FROM per_team_match p + GROUP BY p."season", + p."league_id", + p."team_api_id"), + ranked_champions AS + (SELECT tsp."season", + tsp."league_id", + tsp."team_api_id", + tsp."total_points", + tsp."goals_for", + tsp."goals_against", + ROW_NUMBER() OVER (PARTITION BY tsp."season", tsp."league_id" + ORDER BY tsp."total_points" DESC, (tsp."goals_for" - tsp."goals_against") DESC, tsp."goals_for" DESC, t."team_long_name" ASC) AS "rn" + FROM team_season_points tsp + JOIN "EU_SOCCER"."EU_SOCCER"."TEAM" t ON tsp."team_api_id" = t."team_api_id") +SELECT rc."season", + t."team_long_name" AS "champion_team", + l."name" AS "league", + c."name" AS "country", + rc."total_points" FROM ranked_champions rc -JOIN "EU_SOCCER"."EU_SOCCER"."TEAM" t - ON rc."team_api_id" = t."team_api_id" -JOIN "EU_SOCCER"."EU_SOCCER"."LEAGUE" l - ON rc."league_id" = l."id" -JOIN "EU_SOCCER"."EU_SOCCER"."COUNTRY" c - ON l."country_id" = c."id" +JOIN "EU_SOCCER"."EU_SOCCER"."TEAM" t ON rc."team_api_id" = t."team_api_id" +JOIN "EU_SOCCER"."EU_SOCCER"."LEAGUE" l ON rc."league_id" = l."id" +JOIN "EU_SOCCER"."EU_SOCCER"."COUNTRY" c ON l."country_id" = c."id" WHERE rc."rn" = 1 -ORDER BY rc."season", c."name", l."name", "champion_team"; +ORDER BY rc."season", + c."name", + l."name", + "champion_team"; diff --git a/spider2/queries/snow_sf_local285.sql b/spider2/queries/snow_sf_local285.sql index 9423fef23cef55e105f91a84dfc940664262161a..760aae49ab5ff7266cdc9fa89069c41805a8ee41 100644 --- a/spider2/queries/snow_sf_local285.sql +++ b/spider2/queries/snow_sf_local285.sql @@ -1,22 +1,25 @@ -SELECT - EXTRACT(YEAR FROM TO_DATE(w."whsle_date")) as year, - c."category_name", - ROUND(AVG(w."whsle_px_rmb-kg"), 2) as avg_wholesale_price, - ROUND(MAX(w."whsle_px_rmb-kg"), 2) as max_wholesale_price, - ROUND(MIN(w."whsle_px_rmb-kg"), 2) as min_wholesale_price, - ROUND(MAX(w."whsle_px_rmb-kg") - MIN(w."whsle_px_rmb-kg"), 2) as wholesale_price_difference, - ROUND(SUM(w."whsle_px_rmb-kg" * t."qty_sold(kg)"), 2) as total_wholesale_price, - ROUND(SUM(t."unit_selling_px_rmb/kg" * t."qty_sold(kg)"), 2) as total_selling_price, - ROUND(AVG(l."loss_rate_%"), 2) as avg_loss_rate, - ROUND(SUM(w."whsle_px_rmb-kg" * t."qty_sold(kg)" * l."loss_rate_%" / 100), 2) as total_loss, - ROUND(SUM(t."unit_selling_px_rmb/kg" * t."qty_sold(kg)") - - SUM(w."whsle_px_rmb-kg" * t."qty_sold(kg)") - - SUM(w."whsle_px_rmb-kg" * t."qty_sold(kg)" * l."loss_rate_%" / 100), 2) as profit +SELECT EXTRACT(YEAR + FROM TO_DATE(w."whsle_date")) AS YEAR, + c."category_name", + ROUND(AVG(w."whsle_px_rmb-kg"), 2) AS avg_wholesale_price, + ROUND(MAX(w."whsle_px_rmb-kg"), 2) AS max_wholesale_price, + ROUND(MIN(w."whsle_px_rmb-kg"), 2) AS min_wholesale_price, + ROUND(MAX(w."whsle_px_rmb-kg") - MIN(w."whsle_px_rmb-kg"), 2) AS wholesale_price_difference, + ROUND(SUM(w."whsle_px_rmb-kg" * t."qty_sold(kg)"), 2) AS total_wholesale_price, + ROUND(SUM(t."unit_selling_px_rmb/kg" * t."qty_sold(kg)"), 2) AS total_selling_price, + ROUND(AVG(l."loss_rate_%"), 2) AS avg_loss_rate, + ROUND(SUM(w."whsle_px_rmb-kg" * t."qty_sold(kg)" * l."loss_rate_%" / 100), 2) AS total_loss, + ROUND(SUM(t."unit_selling_px_rmb/kg" * t."qty_sold(kg)") - SUM(w."whsle_px_rmb-kg" * t."qty_sold(kg)") - SUM(w."whsle_px_rmb-kg" * t."qty_sold(kg)" * l."loss_rate_%" / 100), 2) AS profit FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."VEG_WHSLE_DF" w -JOIN "BANK_SALES_TRADING"."BANK_SALES_TRADING"."VEG_TXN_DF" t ON w."item_code" = t."item_code" AND w."whsle_date" = t."txn_date" +JOIN "BANK_SALES_TRADING"."BANK_SALES_TRADING"."VEG_TXN_DF" t ON w."item_code" = t."item_code" +AND w."whsle_date" = t."txn_date" JOIN "BANK_SALES_TRADING"."BANK_SALES_TRADING"."VEG_CAT" c ON w."item_code" = c."item_code" JOIN "BANK_SALES_TRADING"."BANK_SALES_TRADING"."VEG_LOSS_RATE_DF" l ON w."item_code" = l."item_code" -WHERE EXTRACT(YEAR FROM TO_DATE(w."whsle_date")) BETWEEN 2020 AND 2023 - AND t."sale/return" = 'sale' -GROUP BY EXTRACT(YEAR FROM TO_DATE(w."whsle_date")), c."category_name" -ORDER BY year, c."category_name" +WHERE EXTRACT(YEAR + FROM TO_DATE(w."whsle_date")) BETWEEN 2020 AND 2023 + AND t."sale/return" = 'sale' +GROUP BY EXTRACT(YEAR + FROM TO_DATE(w."whsle_date")), + c."category_name" +ORDER BY YEAR, + c."category_name" diff --git a/spider2/queries/snow_sf_local299.sql b/spider2/queries/snow_sf_local299.sql index 8566c1dc9b63860a84fde62870ac6a96dd05cdc6..0be53d720797360195f4f0890ff923c8962b4a70 100644 --- a/spider2/queries/snow_sf_local299.sql +++ b/spider2/queries/snow_sf_local299.sql @@ -1,96 +1,77 @@ -WITH bounds AS ( - SELECT - MIN(TO_DATE("txn_date",'YYYY-MM-DD')) AS "global_min_date", - MAX(TO_DATE("txn_date",'YYYY-MM-DD')) AS "global_max_date" - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" -), -calendar AS ( - SELECT DATEADD('day', seq4(), b."global_min_date") AS "day" - FROM bounds b, - TABLE(GENERATOR(ROWCOUNT => 10000)) - WHERE seq4() <= DATEDIFF('day', b."global_min_date", b."global_max_date") -), -cust_bounds AS ( - SELECT - "customer_id", - MIN(TO_DATE("txn_date", 'YYYY-MM-DD')) AS "min_date", - MAX(TO_DATE("txn_date", 'YYYY-MM-DD')) AS "max_date", - DATE_TRUNC('MONTH', MIN(TO_DATE("txn_date", 'YYYY-MM-DD'))) AS "first_month" - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" - GROUP BY "customer_id" -), -customer_days AS ( - SELECT - cb."customer_id", - c."day" - FROM cust_bounds cb - JOIN calendar c - ON c."day" BETWEEN cb."min_date" AND cb."max_date" -), -daily_txn_agg AS ( - SELECT - "customer_id", - TO_DATE("txn_date", 'YYYY-MM-DD') AS "day", - SUM(CASE WHEN "txn_type" = 'deposit' THEN "txn_amount" ELSE - "txn_amount" END) AS "daily_net" - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" - GROUP BY 1, 2 -), -daily_balances AS ( - SELECT - cd."customer_id", - cd."day", - COALESCE(dta."daily_net", 0) AS "daily_net", - SUM(COALESCE(dta."daily_net", 0)) - OVER (PARTITION BY cd."customer_id" ORDER BY cd."day" - ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS "running_balance", - ROW_NUMBER() OVER (PARTITION BY cd."customer_id" ORDER BY cd."day") AS "row_num" - FROM customer_days cd - LEFT JOIN daily_txn_agg dta - ON cd."customer_id" = dta."customer_id" - AND cd."day" = dta."day" -), -rolling_30d AS ( - SELECT - "customer_id", - "day", - "running_balance", - "row_num", - AVG("running_balance") - OVER (PARTITION BY "customer_id" ORDER BY "day" - ROWS BETWEEN 29 PRECEDING AND CURRENT ROW) AS "avg_30d" - FROM daily_balances -), -clamped_30d AS ( - SELECT - r."customer_id", - r."day", - GREATEST(r."avg_30d", 0) AS "clamped_30d_avg", - DATE_TRUNC('MONTH', r."day") AS "month_start" - FROM rolling_30d r - WHERE r."row_num" >= 30 - AND r."avg_30d" IS NOT NULL -), -monthly_customer_max AS ( - SELECT - "customer_id", - "month_start", - MAX("clamped_30d_avg") AS "monthly_max_30d_avg" - FROM clamped_30d - GROUP BY 1, 2 -), -monthly_customer_filtered AS ( - SELECT - mcm."customer_id", - mcm."month_start", - mcm."monthly_max_30d_avg" - FROM monthly_customer_max mcm - JOIN cust_bounds cb - ON mcm."customer_id" = cb."customer_id" - WHERE mcm."month_start" <> cb."first_month" -) -SELECT - TO_CHAR("month_start", 'YYYY-MM') AS "month", - COALESCE(SUM("monthly_max_30d_avg"), 0) AS "monthly_total_max_30d_avg" +WITH bounds AS + (SELECT MIN(TO_DATE("txn_date", 'YYYY-MM-DD')) AS "global_min_date", + MAX(TO_DATE("txn_date", 'YYYY-MM-DD')) AS "global_max_date" + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS"), + calendar AS + (SELECT DATEADD('day', seq4(), b."global_min_date") AS "day" + FROM bounds b, + TABLE(GENERATOR(ROWCOUNT => 10000)) + WHERE seq4() <= DATEDIFF('day', b."global_min_date", b."global_max_date")), + cust_bounds AS + (SELECT "customer_id", + MIN(TO_DATE("txn_date", 'YYYY-MM-DD')) AS "min_date", + MAX(TO_DATE("txn_date", 'YYYY-MM-DD')) AS "max_date", + DATE_TRUNC('MONTH', MIN(TO_DATE("txn_date", 'YYYY-MM-DD'))) AS "first_month" + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" + GROUP BY "customer_id"), + customer_days AS + (SELECT cb."customer_id", + c."day" + FROM cust_bounds cb + JOIN calendar c ON c."day" BETWEEN cb."min_date" AND cb."max_date"), + daily_txn_agg AS + (SELECT "customer_id", + TO_DATE("txn_date", 'YYYY-MM-DD') AS "day", + SUM(CASE + WHEN "txn_type" = 'deposit' THEN "txn_amount" + ELSE - "txn_amount" + END) AS "daily_net" + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" + GROUP BY 1, + 2), + daily_balances AS + (SELECT cd."customer_id", + cd."day", + COALESCE(dta."daily_net", 0) AS "daily_net", + SUM(COALESCE(dta."daily_net", 0)) OVER (PARTITION BY cd."customer_id" + ORDER BY cd."day" ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS "running_balance", + ROW_NUMBER() OVER (PARTITION BY cd."customer_id" + ORDER BY cd."day") AS "row_num" + FROM customer_days cd + LEFT JOIN daily_txn_agg dta ON cd."customer_id" = dta."customer_id" + AND cd."day" = dta."day"), + rolling_30d AS + (SELECT "customer_id", + "day", + "running_balance", + "row_num", + AVG("running_balance") OVER (PARTITION BY "customer_id" + ORDER BY "day" ROWS BETWEEN 29 PRECEDING AND CURRENT ROW) AS "avg_30d" + FROM daily_balances), + clamped_30d AS + (SELECT r."customer_id", + r."day", + GREATEST(r."avg_30d", 0) AS "clamped_30d_avg", + DATE_TRUNC('MONTH', r."day") AS "month_start" + FROM rolling_30d r + WHERE r."row_num" >= 30 + AND r."avg_30d" IS NOT NULL), + monthly_customer_max AS + (SELECT "customer_id", + "month_start", + MAX("clamped_30d_avg") AS "monthly_max_30d_avg" + FROM clamped_30d + GROUP BY 1, + 2), + monthly_customer_filtered AS + (SELECT mcm."customer_id", + mcm."month_start", + mcm."monthly_max_30d_avg" + FROM monthly_customer_max mcm + JOIN cust_bounds cb ON mcm."customer_id" = cb."customer_id" + WHERE mcm."month_start" <> cb."first_month") +SELECT TO_CHAR("month_start", 'YYYY-MM') AS "month", + COALESCE(SUM("monthly_max_30d_avg"), 0) AS "monthly_total_max_30d_avg" FROM monthly_customer_filtered GROUP BY "month_start" ORDER BY "month_start" ASC; diff --git a/spider2/queries/snow_sf_local300.sql b/spider2/queries/snow_sf_local300.sql index e2696598d54bfbed1a942c20f816cdf03e392ab7..4e53ae185cf587a97e169a1ea6d0538df6b60f68 100644 --- a/spider2/queries/snow_sf_local300.sql +++ b/spider2/queries/snow_sf_local300.sql @@ -1,69 +1,54 @@ -WITH customer_date_range AS ( - SELECT - "customer_id", - MIN(TO_DATE("txn_date")) AS start_date, - MAX(TO_DATE("txn_date")) AS end_date - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" - GROUP BY "customer_id" -), -all_days AS ( - SELECT - cdr."customer_id", - DATEADD(day, seq.seq, cdr.start_date) AS date_day - FROM customer_date_range cdr - CROSS JOIN ( - SELECT ROW_NUMBER() OVER (ORDER BY NULL) - 1 AS seq - FROM TABLE(GENERATOR(ROWCOUNT => 1000)) - ) seq - WHERE DATEADD(day, seq.seq, cdr.start_date) <= cdr.end_date -), -daily_transactions AS ( - SELECT - "customer_id", - TO_DATE("txn_date") AS txn_date, - SUM(CASE - WHEN "txn_type" = 'deposit' THEN "txn_amount" - WHEN "txn_type" = 'purchase' THEN -"txn_amount" - WHEN "txn_type" = 'withdrawal' THEN -"txn_amount" - ELSE 0 - END) AS daily_net_change - FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" - GROUP BY "customer_id", TO_DATE("txn_date") -), -daily_balances AS ( - SELECT - ad."customer_id", - ad.date_day, - COALESCE(dt.daily_net_change, 0) AS daily_change, - SUM(COALESCE(dt.daily_net_change, 0)) OVER ( - PARTITION BY ad."customer_id" - ORDER BY ad.date_day - ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW - ) AS running_balance - FROM all_days ad - LEFT JOIN daily_transactions dt - ON ad."customer_id" = dt."customer_id" - AND ad.date_day = dt.txn_date -), -non_negative_balances AS ( - SELECT - "customer_id", - date_day, - GREATEST(running_balance, 0) AS daily_balance, - DATE_TRUNC('month', date_day) AS month_start - FROM daily_balances -), -monthly_max_balances AS ( - SELECT - "customer_id", - month_start, - MAX(daily_balance) AS max_daily_balance - FROM non_negative_balances - GROUP BY "customer_id", month_start -) -SELECT - month_start, - SUM(max_daily_balance) AS monthly_total_max_balance +WITH customer_date_range AS + (SELECT "customer_id", + MIN(TO_DATE("txn_date")) AS start_date, + MAX(TO_DATE("txn_date")) AS end_date + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" + GROUP BY "customer_id"), + all_days AS + (SELECT cdr."customer_id", + DATEADD(DAY, seq.seq, cdr.start_date) AS date_day + FROM customer_date_range cdr + CROSS JOIN + (SELECT ROW_NUMBER() OVER ( + ORDER BY NULL) - 1 AS seq + FROM TABLE(GENERATOR(ROWCOUNT => 1000))) seq + WHERE DATEADD(DAY, seq.seq, cdr.start_date) <= cdr.end_date), + daily_transactions AS + (SELECT "customer_id", + TO_DATE("txn_date") AS txn_date, + SUM(CASE + WHEN "txn_type" = 'deposit' THEN "txn_amount" + WHEN "txn_type" = 'purchase' THEN -"txn_amount" + WHEN "txn_type" = 'withdrawal' THEN -"txn_amount" + ELSE 0 + END) AS daily_net_change + FROM "BANK_SALES_TRADING"."BANK_SALES_TRADING"."CUSTOMER_TRANSACTIONS" + GROUP BY "customer_id", + TO_DATE("txn_date")), + daily_balances AS + (SELECT ad."customer_id", + ad.date_day, + COALESCE(dt.daily_net_change, 0) AS daily_change, + SUM(COALESCE(dt.daily_net_change, 0)) OVER (PARTITION BY ad."customer_id" + ORDER BY ad.date_day ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS running_balance + FROM all_days ad + LEFT JOIN daily_transactions dt ON ad."customer_id" = dt."customer_id" + AND ad.date_day = dt.txn_date), + non_negative_balances AS + (SELECT "customer_id", + date_day, + GREATEST(running_balance, 0) AS daily_balance, + DATE_TRUNC('month', date_day) AS month_start + FROM daily_balances), + monthly_max_balances AS + (SELECT "customer_id", + month_start, + MAX(daily_balance) AS max_daily_balance + FROM non_negative_balances + GROUP BY "customer_id", + month_start) +SELECT month_start, + SUM(max_daily_balance) AS monthly_total_max_balance FROM monthly_max_balances GROUP BY month_start ORDER BY month_start; diff --git a/spider2/queries/snow_sf_local309.sql b/spider2/queries/snow_sf_local309.sql index d5d6d6ddbbcc003ff0a365552054df99de7a4fcf..3a4c65a62c21ef7045d6a33ca2f11226e300c131 100644 --- a/spider2/queries/snow_sf_local309.sql +++ b/spider2/queries/snow_sf_local309.sql @@ -1,164 +1,136 @@ -WITH "years" AS ( - SELECT DISTINCT r."year" - FROM "F1"."F1"."RACES" r -), -"final_races" AS ( - SELECT r."year", r."race_id" - FROM "F1"."F1"."RACES" r - JOIN ( - SELECT "year", MAX("round") AS "max_round" - FROM "F1"."F1"."RACES" - GROUP BY "year" - ) lr - ON r."year" = lr."year" AND r."round" = lr."max_round" -), -"driver_top_standings" AS ( - SELECT - fr."year", - ds."driver_id", - d."full_name" AS "driver_full_name", - ds."points" AS "driver_points" - FROM "F1"."F1"."DRIVER_STANDINGS" ds - JOIN "final_races" fr - ON ds."race_id" = fr."race_id" - JOIN ( - SELECT fr."year", MAX(ds."points") AS "max_points" - FROM "F1"."F1"."DRIVER_STANDINGS" ds - JOIN "final_races" fr ON ds."race_id" = fr."race_id" - GROUP BY fr."year" - ) md - ON fr."year" = md."year" AND ds."points" = md."max_points" - LEFT JOIN "F1"."F1"."DRIVERS" d - ON ds."driver_id" = d."driver_id" -), -"driver_points_agg" AS ( - SELECT - r."year" AS "year", - res."driver_id" AS "driver_id", - SUM(COALESCE(res."points", 0)) AS "points" - FROM "F1"."F1"."RESULTS" res - JOIN "F1"."F1"."RACES" r - ON res."race_id" = r."race_id" - GROUP BY r."year", res."driver_id" - UNION ALL - SELECT - r."year" AS "year", - sr."driver_id" AS "driver_id", - SUM(COALESCE(sr."points", 0)) AS "points" - FROM "F1"."F1"."SPRINT_RESULTS" sr - JOIN "F1"."F1"."RACES" r - ON sr."race_id" = r."race_id" - GROUP BY r."year", sr."driver_id" -), -"driver_points_summed" AS ( - SELECT "year", "driver_id", SUM("points") AS "points" - FROM "driver_points_agg" - GROUP BY "year", "driver_id" -), -"driver_top_results" AS ( - SELECT - dp."year", - dp."driver_id", - d."full_name" AS "driver_full_name", - dp."points" AS "driver_points" - FROM "driver_points_summed" dp - JOIN ( - SELECT "year", MAX("points") AS "max_points" - FROM "driver_points_summed" - GROUP BY "year" - ) md - ON dp."year" = md."year" AND dp."points" = md."max_points" - LEFT JOIN "F1"."F1"."DRIVERS" d - ON dp."driver_id" = d."driver_id" -), -"driver_top_final" AS ( - SELECT - y."year", - COALESCE(dts."driver_id", dtr."driver_id") AS "driver_id", - COALESCE(dts."driver_full_name", dtr."driver_full_name") AS "driver_full_name" - FROM "years" y - LEFT JOIN "driver_top_standings" dts - ON dts."year" = y."year" - LEFT JOIN "driver_top_results" dtr - ON dtr."year" = y."year" AND dts."year" IS NULL -), -"constructor_top_standings" AS ( - SELECT - fr."year", - cs."constructor_id", - c."name" AS "constructor_name", - cs."points" AS "constructor_points" - FROM "F1"."F1"."CONSTRUCTOR_STANDINGS" cs - JOIN "final_races" fr - ON cs."race_id" = fr."race_id" - JOIN ( - SELECT fr."year", MAX(cs."points") AS "max_points" - FROM "F1"."F1"."CONSTRUCTOR_STANDINGS" cs - JOIN "final_races" fr ON cs."race_id" = fr."race_id" - GROUP BY fr."year" - ) mc - ON fr."year" = mc."year" AND cs."points" = mc."max_points" - LEFT JOIN "F1"."F1"."CONSTRUCTORS" c - ON cs."constructor_id" = c."constructor_id" -), -"constructor_points_agg" AS ( - SELECT - r."year" AS "year", - res."constructor_id" AS "constructor_id", - SUM(COALESCE(res."points", 0)) AS "points" - FROM "F1"."F1"."RESULTS" res - JOIN "F1"."F1"."RACES" r - ON res."race_id" = r."race_id" - GROUP BY r."year", res."constructor_id" - UNION ALL - SELECT - r."year" AS "year", - sr."constructor_id" AS "constructor_id", - SUM(COALESCE(sr."points", 0)) AS "points" - FROM "F1"."F1"."SPRINT_RESULTS" sr - JOIN "F1"."F1"."RACES" r - ON sr."race_id" = r."race_id" - GROUP BY r."year", sr."constructor_id" -), -"constructor_points_summed" AS ( - SELECT "year", "constructor_id", SUM("points") AS "points" - FROM "constructor_points_agg" - GROUP BY "year", "constructor_id" -), -"constructor_top_results" AS ( - SELECT - cp."year", - cp."constructor_id", - c."name" AS "constructor_name", - cp."points" AS "constructor_points" - FROM "constructor_points_summed" cp - JOIN ( - SELECT "year", MAX("points") AS "max_points" - FROM "constructor_points_summed" - GROUP BY "year" - ) mc - ON cp."year" = mc."year" AND cp."points" = mc."max_points" - LEFT JOIN "F1"."F1"."CONSTRUCTORS" c - ON cp."constructor_id" = c."constructor_id" -), -"constructor_top_final" AS ( - SELECT - y."year", - COALESCE(cts."constructor_id", ctr."constructor_id") AS "constructor_id", - COALESCE(cts."constructor_name", ctr."constructor_name") AS "constructor_name" - FROM "years" y - LEFT JOIN "constructor_top_standings" cts - ON cts."year" = y."year" - LEFT JOIN "constructor_top_results" ctr - ON ctr."year" = y."year" AND cts."year" IS NULL -) -SELECT - y."year", - dtf."driver_full_name", - ctf."constructor_name" +WITH "years" AS + (SELECT DISTINCT r."year" + FROM "F1"."F1"."RACES" r), + "final_races" AS + (SELECT r."year", + r."race_id" + FROM "F1"."F1"."RACES" r + JOIN + (SELECT "year", + MAX("round") AS "max_round" + FROM "F1"."F1"."RACES" + GROUP BY "year") lr ON r."year" = lr."year" + AND r."round" = lr."max_round"), + "driver_top_standings" AS + (SELECT fr."year", + ds."driver_id", + d."full_name" AS "driver_full_name", + ds."points" AS "driver_points" + FROM "F1"."F1"."DRIVER_STANDINGS" ds + JOIN "final_races" fr ON ds."race_id" = fr."race_id" + JOIN + (SELECT fr."year", + MAX(ds."points") AS "max_points" + FROM "F1"."F1"."DRIVER_STANDINGS" ds + JOIN "final_races" fr ON ds."race_id" = fr."race_id" + GROUP BY fr."year") md ON fr."year" = md."year" + AND ds."points" = md."max_points" + LEFT JOIN "F1"."F1"."DRIVERS" d ON ds."driver_id" = d."driver_id"), + "driver_points_agg" AS + (SELECT r."year" AS "year", + res."driver_id" AS "driver_id", + SUM(COALESCE(res."points", 0)) AS "points" + FROM "F1"."F1"."RESULTS" res + JOIN "F1"."F1"."RACES" r ON res."race_id" = r."race_id" + GROUP BY r."year", + res."driver_id" + UNION ALL SELECT r."year" AS "year", + sr."driver_id" AS "driver_id", + SUM(COALESCE(sr."points", 0)) AS "points" + FROM "F1"."F1"."SPRINT_RESULTS" sr + JOIN "F1"."F1"."RACES" r ON sr."race_id" = r."race_id" + GROUP BY r."year", + sr."driver_id"), + "driver_points_summed" AS + (SELECT "year", + "driver_id", + SUM("points") AS "points" + FROM "driver_points_agg" + GROUP BY "year", + "driver_id"), + "driver_top_results" AS + (SELECT dp."year", + dp."driver_id", + d."full_name" AS "driver_full_name", + dp."points" AS "driver_points" + FROM "driver_points_summed" dp + JOIN + (SELECT "year", + MAX("points") AS "max_points" + FROM "driver_points_summed" + GROUP BY "year") md ON dp."year" = md."year" + AND dp."points" = md."max_points" + LEFT JOIN "F1"."F1"."DRIVERS" d ON dp."driver_id" = d."driver_id"), + "driver_top_final" AS + (SELECT y."year", + COALESCE(dts."driver_id", dtr."driver_id") AS "driver_id", + COALESCE(dts."driver_full_name", dtr."driver_full_name") AS "driver_full_name" + FROM "years" y + LEFT JOIN "driver_top_standings" dts ON dts."year" = y."year" + LEFT JOIN "driver_top_results" dtr ON dtr."year" = y."year" + AND dts."year" IS NULL), + "constructor_top_standings" AS + (SELECT fr."year", + cs."constructor_id", + c."name" AS "constructor_name", + cs."points" AS "constructor_points" + FROM "F1"."F1"."CONSTRUCTOR_STANDINGS" cs + JOIN "final_races" fr ON cs."race_id" = fr."race_id" + JOIN + (SELECT fr."year", + MAX(cs."points") AS "max_points" + FROM "F1"."F1"."CONSTRUCTOR_STANDINGS" cs + JOIN "final_races" fr ON cs."race_id" = fr."race_id" + GROUP BY fr."year") mc ON fr."year" = mc."year" + AND cs."points" = mc."max_points" + LEFT JOIN "F1"."F1"."CONSTRUCTORS" c ON cs."constructor_id" = c."constructor_id"), + "constructor_points_agg" AS + (SELECT r."year" AS "year", + res."constructor_id" AS "constructor_id", + SUM(COALESCE(res."points", 0)) AS "points" + FROM "F1"."F1"."RESULTS" res + JOIN "F1"."F1"."RACES" r ON res."race_id" = r."race_id" + GROUP BY r."year", + res."constructor_id" + UNION ALL SELECT r."year" AS "year", + sr."constructor_id" AS "constructor_id", + SUM(COALESCE(sr."points", 0)) AS "points" + FROM "F1"."F1"."SPRINT_RESULTS" sr + JOIN "F1"."F1"."RACES" r ON sr."race_id" = r."race_id" + GROUP BY r."year", + sr."constructor_id"), + "constructor_points_summed" AS + (SELECT "year", + "constructor_id", + SUM("points") AS "points" + FROM "constructor_points_agg" + GROUP BY "year", + "constructor_id"), + "constructor_top_results" AS + (SELECT cp."year", + cp."constructor_id", + c."name" AS "constructor_name", + cp."points" AS "constructor_points" + FROM "constructor_points_summed" cp + JOIN + (SELECT "year", + MAX("points") AS "max_points" + FROM "constructor_points_summed" + GROUP BY "year") mc ON cp."year" = mc."year" + AND cp."points" = mc."max_points" + LEFT JOIN "F1"."F1"."CONSTRUCTORS" c ON cp."constructor_id" = c."constructor_id"), + "constructor_top_final" AS + (SELECT y."year", + COALESCE(cts."constructor_id", ctr."constructor_id") AS "constructor_id", + COALESCE(cts."constructor_name", ctr."constructor_name") AS "constructor_name" + FROM "years" y + LEFT JOIN "constructor_top_standings" cts ON cts."year" = y."year" + LEFT JOIN "constructor_top_results" ctr ON ctr."year" = y."year" + AND cts."year" IS NULL) +SELECT y."year", + dtf."driver_full_name", + ctf."constructor_name" FROM "years" y -LEFT JOIN "driver_top_final" dtf - ON dtf."year" = y."year" -LEFT JOIN "constructor_top_final" ctf - ON ctf."year" = y."year" +LEFT JOIN "driver_top_final" dtf ON dtf."year" = y."year" +LEFT JOIN "constructor_top_final" ctf ON ctf."year" = y."year" ORDER BY y."year" ASC; diff --git a/spider2/queries/snow_sf_local311.sql b/spider2/queries/snow_sf_local311.sql index 15319a98ea2f2dbf037b0dfabb3508b6aae3b59f..10f38e54f4bc966d9304561c6929a37c64dd45f4 100644 --- a/spider2/queries/snow_sf_local311.sql +++ b/spider2/queries/snow_sf_local311.sql @@ -1,60 +1,49 @@ -WITH LastRacePerYear AS ( - SELECT "year", MAX("race_id") AS "last_race_id" - FROM "F1"."F1"."RACES" - GROUP BY "year" -), -FinalConstructorStandings AS ( - SELECT - lr."year", - cs."constructor_id", - cs."points" AS "constructor_points" - FROM LastRacePerYear AS lr - JOIN "F1"."F1"."CONSTRUCTOR_STANDINGS" AS cs - ON lr."last_race_id" = cs."race_id" -), -FinalDriverStandings AS ( - SELECT - lr."year", - ds."driver_id", - ds."points" AS "driver_points" - FROM LastRacePerYear AS lr - JOIN "F1"."F1"."DRIVER_STANDINGS" AS ds - ON lr."last_race_id" = ds."race_id" -), -DriverPointsPerConstructorYear AS ( - SELECT - r."year", - res."constructor_id", - res."driver_id", - SUM(res."points") AS "points_for_constructor" - FROM "F1"."F1"."RESULTS" AS res - JOIN "F1"."F1"."RACES" AS r ON res."race_id" = r."race_id" - GROUP BY r."year", res."constructor_id", res."driver_id" -), -BestDriverPerConstructorYear AS ( - SELECT - "year", - "constructor_id", - "driver_id" - FROM ( - SELECT - "year", - "constructor_id", - "driver_id", - ROW_NUMBER() OVER(PARTITION BY "year", "constructor_id" ORDER BY "points_for_constructor" DESC, "driver_id" ASC) as "rn" - FROM DriverPointsPerConstructorYear - ) - WHERE "rn" = 1 -) -SELECT - c."name", - fcs."year" +WITH LastRacePerYear AS + (SELECT "year", + MAX("race_id") AS "last_race_id" + FROM "F1"."F1"."RACES" + GROUP BY "year"), + FinalConstructorStandings AS + (SELECT lr."year", + cs."constructor_id", + cs."points" AS "constructor_points" + FROM LastRacePerYear AS lr + JOIN "F1"."F1"."CONSTRUCTOR_STANDINGS" AS cs ON lr."last_race_id" = cs."race_id"), + FinalDriverStandings AS + (SELECT lr."year", + ds."driver_id", + ds."points" AS "driver_points" + FROM LastRacePerYear AS lr + JOIN "F1"."F1"."DRIVER_STANDINGS" AS ds ON lr."last_race_id" = ds."race_id"), + DriverPointsPerConstructorYear AS + (SELECT r."year", + res."constructor_id", + res."driver_id", + SUM(res."points") AS "points_for_constructor" + FROM "F1"."F1"."RESULTS" AS res + JOIN "F1"."F1"."RACES" AS r ON res."race_id" = r."race_id" + GROUP BY r."year", + res."constructor_id", + res."driver_id"), + BestDriverPerConstructorYear AS + (SELECT "year", + "constructor_id", + "driver_id" + FROM + (SELECT "year", + "constructor_id", + "driver_id", + ROW_NUMBER() OVER(PARTITION BY "year", "constructor_id" + ORDER BY "points_for_constructor" DESC, "driver_id" ASC) AS "rn" + FROM DriverPointsPerConstructorYear) + WHERE "rn" = 1) +SELECT c."name", + fcs."year" FROM FinalConstructorStandings AS fcs -JOIN BestDriverPerConstructorYear AS bdpc - ON fcs."year" = bdpc."year" AND fcs."constructor_id" = bdpc."constructor_id" -JOIN FinalDriverStandings AS fds - ON bdpc."year" = fds."year" AND bdpc."driver_id" = fds."driver_id" -JOIN "F1"."F1"."CONSTRUCTORS" AS c - ON fcs."constructor_id" = c."constructor_id" +JOIN BestDriverPerConstructorYear AS bdpc ON fcs."year" = bdpc."year" +AND fcs."constructor_id" = bdpc."constructor_id" +JOIN FinalDriverStandings AS fds ON bdpc."year" = fds."year" +AND bdpc."driver_id" = fds."driver_id" +JOIN "F1"."F1"."CONSTRUCTORS" AS c ON fcs."constructor_id" = c."constructor_id" ORDER BY (fcs."constructor_points" + fds."driver_points") DESC LIMIT 3; diff --git a/spider2/queries/snow_sf_local329.sql b/spider2/queries/snow_sf_local329.sql index d6c8d7550ecfc7fc9d810f1042857537c9e5ca82..159818a5cb623876275f576e0c842a6435360302 100644 --- a/spider2/queries/snow_sf_local329.sql +++ b/spider2/queries/snow_sf_local329.sql @@ -1,13 +1,12 @@ -SELECT COUNT(DISTINCT input_sessions."session") as unique_sessions -FROM ( - SELECT DISTINCT "session", "stamp" - FROM "LOG"."LOG"."FORM_LOG" - WHERE "path" = '/regist/input' -) as input_sessions -INNER JOIN ( - SELECT DISTINCT "session", "stamp" - FROM "LOG"."LOG"."FORM_LOG" - WHERE "path" = '/regist/confirm' -) as confirm_sessions - ON input_sessions."session" = confirm_sessions."session" +SELECT COUNT(DISTINCT input_sessions."session") AS unique_sessions +FROM + (SELECT DISTINCT "session", + "stamp" + FROM "LOG"."LOG"."FORM_LOG" + WHERE "path" = '/regist/input') AS input_sessions +INNER JOIN + (SELECT DISTINCT "session", + "stamp" + FROM "LOG"."LOG"."FORM_LOG" + WHERE "path" = '/regist/confirm') AS confirm_sessions ON input_sessions."session" = confirm_sessions."session" WHERE input_sessions."stamp" < confirm_sessions."stamp" diff --git a/spider2/queries/snow_sf_local336.sql b/spider2/queries/snow_sf_local336.sql index e53f9cdcde8340d80709ee6f6999edd35a6ab3ed..b73444247e2ad2815072dcf5817d43accd519e90 100644 --- a/spider2/queries/snow_sf_local336.sql +++ b/spider2/queries/snow_sf_local336.sql @@ -1,101 +1,123 @@ -WITH "curr" AS ( - SELECT "race_id", "lap", "driver_id", "position" - FROM "F1"."F1"."LAP_POSITIONS" - WHERE "lap_type" = 'Race' AND "lap" BETWEEN 1 AND 5 -), -"prev_race" AS ( - SELECT "race_id", "lap", "driver_id", "position" - FROM "F1"."F1"."LAP_POSITIONS" - WHERE "lap_type" = 'Race' AND "lap" BETWEEN 1 AND 4 -), -"grid" AS ( - SELECT "race_id", "driver_id", "grid" - FROM "F1"."F1"."RESULTS" -), -"pairs_lap1" AS ( - SELECT - c1."race_id", - 1 AS "lap", - c1."driver_id" AS "overtaker_id", - c2."driver_id" AS "overtaken_id", - g1."grid" AS "grid_overtaker", - g2."grid" AS "grid_overtaken", - c1."position" AS "curr_pos_overtaker", - c2."position" AS "curr_pos_overtaken" - FROM "curr" c1 - JOIN "curr" c2 - ON c1."race_id" = c2."race_id" - AND c1."lap" = 1 AND c2."lap" = 1 +WITH "curr" AS + (SELECT "race_id", + "lap", + "driver_id", + "position" + FROM "F1"."F1"."LAP_POSITIONS" + WHERE "lap_type" = 'Race' + AND "lap" BETWEEN 1 AND 5), + "prev_race" AS + (SELECT "race_id", + "lap", + "driver_id", + "position" + FROM "F1"."F1"."LAP_POSITIONS" + WHERE "lap_type" = 'Race' + AND "lap" BETWEEN 1 AND 4), + "grid" AS + (SELECT "race_id", + "driver_id", + "grid" + FROM "F1"."F1"."RESULTS"), + "pairs_lap1" AS + (SELECT c1."race_id", + 1 AS "lap", + c1."driver_id" AS "overtaker_id", + c2."driver_id" AS "overtaken_id", + g1."grid" AS "grid_overtaker", + g2."grid" AS "grid_overtaken", + c1."position" AS "curr_pos_overtaker", + c2."position" AS "curr_pos_overtaken" + FROM "curr" c1 + JOIN "curr" c2 ON c1."race_id" = c2."race_id" + AND c1."lap" = 1 + AND c2."lap" = 1 AND c1."driver_id" != c2."driver_id" - LEFT JOIN "grid" g1 ON g1."race_id" = c1."race_id" AND g1."driver_id" = c1."driver_id" - LEFT JOIN "grid" g2 ON g2."race_id" = c2."race_id" AND g2."driver_id" = c2."driver_id" - WHERE g1."grid" IS NOT NULL AND g2."grid" IS NOT NULL - AND g1."grid" > g2."grid" - AND c1."position" < c2."position" -), -"pairs_lap2to5" AS ( - SELECT - c1."race_id", - c1."lap" AS "lap", - c1."driver_id" AS "overtaker_id", - c2."driver_id" AS "overtaken_id", - g1."grid" AS "grid_overtaker", - g2."grid" AS "grid_overtaken" - FROM "curr" c1 - JOIN "curr" c2 - ON c1."race_id" = c2."race_id" + LEFT JOIN "grid" g1 ON g1."race_id" = c1."race_id" + AND g1."driver_id" = c1."driver_id" + LEFT JOIN "grid" g2 ON g2."race_id" = c2."race_id" + AND g2."driver_id" = c2."driver_id" + WHERE g1."grid" IS NOT NULL + AND g2."grid" IS NOT NULL + AND g1."grid" > g2."grid" + AND c1."position" < c2."position"), + "pairs_lap2to5" AS + (SELECT c1."race_id", + c1."lap" AS "lap", + c1."driver_id" AS "overtaker_id", + c2."driver_id" AS "overtaken_id", + g1."grid" AS "grid_overtaker", + g2."grid" AS "grid_overtaken" + FROM "curr" c1 + JOIN "curr" c2 ON c1."race_id" = c2."race_id" AND c1."lap" BETWEEN 2 AND 5 AND c2."lap" = c1."lap" AND c1."driver_id" != c2."driver_id" - JOIN "prev_race" p1 ON p1."race_id" = c1."race_id" AND p1."lap" = c1."lap" - 1 AND p1."driver_id" = c1."driver_id" - JOIN "prev_race" p2 ON p2."race_id" = c2."race_id" AND p2."lap" = c2."lap" - 1 AND p2."driver_id" = c2."driver_id" - LEFT JOIN "grid" g1 ON g1."race_id" = c1."race_id" AND g1."driver_id" = c1."driver_id" - LEFT JOIN "grid" g2 ON g2."race_id" = c2."race_id" AND g2."driver_id" = c2."driver_id" - WHERE p1."position" > p2."position" - AND c1."position" < c2."position" -), -"all_pairs" AS ( - SELECT "race_id", "lap", "overtaker_id", "overtaken_id", "grid_overtaker", "grid_overtaken" - FROM "pairs_lap1" - UNION ALL - SELECT "race_id", "lap", "overtaker_id", "overtaken_id", "grid_overtaker", "grid_overtaken" - FROM "pairs_lap2to5" -), -"classified" AS ( - SELECT - a."race_id", - a."lap", - a."overtaker_id", - a."overtaken_id", - CASE - WHEN EXISTS ( - SELECT 1 FROM "F1"."F1"."RETIREMENTS" r - WHERE r."race_id" = a."race_id" - AND r."driver_id" = a."overtaken_id" - AND r."lap" = a."lap" - ) THEN 'R' - WHEN EXISTS ( - SELECT 1 FROM "F1"."F1"."PIT_STOPS" ps - WHERE ps."race_id" = a."race_id" - AND ps."driver_id" = a."overtaken_id" - AND (ps."lap" = a."lap" OR ps."lap" = a."lap" - 1) - ) THEN 'P' - WHEN a."lap" = 1 - AND a."grid_overtaker" IS NOT NULL - AND a."grid_overtaken" IS NOT NULL - AND abs(a."grid_overtaker" - a."grid_overtaken") <= 2 THEN 'S' - ELSE 'T' - END AS "category" - FROM "all_pairs" a -) -SELECT - CASE "category" - WHEN 'R' THEN 'Retirements' - WHEN 'P' THEN 'Pit Stops' - WHEN 'S' THEN 'Start-Related' - ELSE 'On-Track' - END AS "category", - COUNT(*) AS "overtakes" + JOIN "prev_race" p1 ON p1."race_id" = c1."race_id" + AND p1."lap" = c1."lap" - 1 + AND p1."driver_id" = c1."driver_id" + JOIN "prev_race" p2 ON p2."race_id" = c2."race_id" + AND p2."lap" = c2."lap" - 1 + AND p2."driver_id" = c2."driver_id" + LEFT JOIN "grid" g1 ON g1."race_id" = c1."race_id" + AND g1."driver_id" = c1."driver_id" + LEFT JOIN "grid" g2 ON g2."race_id" = c2."race_id" + AND g2."driver_id" = c2."driver_id" + WHERE p1."position" > p2."position" + AND c1."position" < c2."position"), + "all_pairs" AS + (SELECT "race_id", + "lap", + "overtaker_id", + "overtaken_id", + "grid_overtaker", + "grid_overtaken" + FROM "pairs_lap1" + UNION ALL SELECT "race_id", + "lap", + "overtaker_id", + "overtaken_id", + "grid_overtaker", + "grid_overtaken" + FROM "pairs_lap2to5"), + "classified" AS + (SELECT a."race_id", + a."lap", + a."overtaker_id", + a."overtaken_id", + CASE + WHEN EXISTS + (SELECT 1 + FROM "F1"."F1"."RETIREMENTS" r + WHERE r."race_id" = a."race_id" + AND r."driver_id" = a."overtaken_id" + AND r."lap" = a."lap") THEN 'R' + WHEN EXISTS + (SELECT 1 + FROM "F1"."F1"."PIT_STOPS" ps + WHERE ps."race_id" = a."race_id" + AND ps."driver_id" = a."overtaken_id" + AND (ps."lap" = a."lap" + OR ps."lap" = a."lap" - 1)) THEN 'P' + WHEN a."lap" = 1 + AND a."grid_overtaker" IS NOT NULL + AND a."grid_overtaken" IS NOT NULL + AND abs(a."grid_overtaker" - a."grid_overtaken") <= 2 THEN 'S' + ELSE 'T' + END AS "category" + FROM "all_pairs" a) +SELECT CASE "category" + WHEN 'R' THEN 'Retirements' + WHEN 'P' THEN 'Pit Stops' + WHEN 'S' THEN 'Start-Related' + ELSE 'On-Track' + END AS "category", + COUNT(*) AS "overtakes" FROM "classified" GROUP BY "category" -ORDER BY CASE "category" WHEN 'Retirements' THEN 1 WHEN 'Pit Stops' THEN 2 WHEN 'Start-Related' THEN 3 ELSE 4 END; +ORDER BY CASE "category" + WHEN 'Retirements' THEN 1 + WHEN 'Pit Stops' THEN 2 + WHEN 'Start-Related' THEN 3 + ELSE 4 + END; diff --git a/spider2/queries/snow_sf_local354.sql b/spider2/queries/snow_sf_local354.sql index 8e2461df8fcd19fd2a59441238800b9de448dd91..d0424a9de3690f1daf9420eb0d90450757d64df5 100644 --- a/spider2/queries/snow_sf_local354.sql +++ b/spider2/queries/snow_sf_local354.sql @@ -1,23 +1,21 @@ -SELECT - d."full_name" AS name, - t."year" AS year, - c."name" AS constructor_name, - t.num_unique_rounds AS num_unique_rounds -FROM ( - SELECT - r."driver_id", - ra."year", - MIN_BY(r."constructor_id", ra."round") AS first_constructor_id, - MAX_BY(r."constructor_id", ra."round") AS last_constructor_id, - COUNT(DISTINCT ra."round") AS num_unique_rounds - FROM F1.F1.RESULTS r - JOIN F1.F1.RACES ra ON r."race_id" = ra."race_id" - WHERE ra."year" BETWEEN 1950 AND 1959 - GROUP BY r."driver_id", ra."year" - HAVING - COUNT(DISTINCT ra."round") >= 2 - AND MIN_BY(r."constructor_id", ra."round") = MAX_BY(r."constructor_id", ra."round") -) t +SELECT d."full_name" AS name, + t."year" AS YEAR, + c."name" AS constructor_name, + t.num_unique_rounds AS num_unique_rounds +FROM + (SELECT r."driver_id", + ra."year", + MIN_BY(r."constructor_id", ra."round") AS first_constructor_id, + MAX_BY(r."constructor_id", ra."round") AS last_constructor_id, + COUNT(DISTINCT ra."round") AS num_unique_rounds + FROM F1.F1.RESULTS r + JOIN F1.F1.RACES ra ON r."race_id" = ra."race_id" + WHERE ra."year" BETWEEN 1950 AND 1959 + GROUP BY r."driver_id", + ra."year" + HAVING COUNT(DISTINCT ra."round") >= 2 + AND MIN_BY(r."constructor_id", ra."round") = MAX_BY(r."constructor_id", ra."round")) t JOIN F1.F1.DRIVERS d ON t."driver_id" = d."driver_id" JOIN F1.F1.CONSTRUCTORS c ON t.first_constructor_id = c."constructor_id" -ORDER BY name, year +ORDER BY name, + YEAR diff --git a/spider2/queries/snow_sf_local355.sql b/spider2/queries/snow_sf_local355.sql index c58815d0a3cf9ec821f47608be4fc293152c6111..cfe75216bc8eeb55bc649cba2793e5b6b99fd309 100644 --- a/spider2/queries/snow_sf_local355.sql +++ b/spider2/queries/snow_sf_local355.sql @@ -1,33 +1,29 @@ -WITH "driver_races" AS ( - SELECT - "res"."driver_id" AS "driver_id", - "r"."year" AS "year", - "r"."round" AS "round", - "res"."constructor_id" AS "constructor_id", - LEAD("r"."round") OVER (PARTITION BY "res"."driver_id", "r"."year" ORDER BY "r"."round") AS "next_round", - LEAD("res"."constructor_id") OVER (PARTITION BY "res"."driver_id", "r"."year" ORDER BY "r"."round") AS "next_constructor" - FROM "F1"."F1"."RESULTS" AS "res" - JOIN "F1"."F1"."RACES" AS "r" - ON "res"."race_id" = "r"."race_id" -), -"hiatus" AS ( - SELECT - "driver_id", - "year", - "round", - "constructor_id", - "next_round", - "next_constructor", - "next_round" - "round" - 1 AS "races_missed", - "round" + 1 AS "first_missed_round", - "next_round" - 1 AS "last_missed_round" - FROM "driver_races" - WHERE "next_round" IS NOT NULL - AND "next_round" - "round" - 1 > 0 -) -SELECT - AVG("first_missed_round") AS "avg_first_missed_round", - AVG("last_missed_round") AS "avg_last_missed_round" +WITH "driver_races" AS + (SELECT "res"."driver_id" AS "driver_id", + "r"."year" AS "year", + "r"."round" AS "round", + "res"."constructor_id" AS "constructor_id", + LEAD("r"."round") OVER (PARTITION BY "res"."driver_id", "r"."year" + ORDER BY "r"."round") AS "next_round", + LEAD("res"."constructor_id") OVER (PARTITION BY "res"."driver_id", "r"."year" + ORDER BY "r"."round") AS "next_constructor" + FROM "F1"."F1"."RESULTS" AS "res" + JOIN "F1"."F1"."RACES" AS "r" ON "res"."race_id" = "r"."race_id"), + "hiatus" AS + (SELECT "driver_id", + "year", + "round", + "constructor_id", + "next_round", + "next_constructor", + "next_round" - "round" - 1 AS "races_missed", + "round" + 1 AS "first_missed_round", + "next_round" - 1 AS "last_missed_round" + FROM "driver_races" + WHERE "next_round" IS NOT NULL + AND "next_round" - "round" - 1 > 0) +SELECT AVG("first_missed_round") AS "avg_first_missed_round", + AVG("last_missed_round") AS "avg_last_missed_round" FROM "hiatus" WHERE "races_missed" < 3 AND "constructor_id" IS NOT NULL diff --git a/spider2/queries/snow_sf_local360.sql b/spider2/queries/snow_sf_local360.sql index e79cf497dbf8269ad304c8927d37ba15c00ecfb5..7cd4af0b9c9829ac26b5281b7f6c64473e61897e 100644 --- a/spider2/queries/snow_sf_local360.sql +++ b/spider2/queries/snow_sf_local360.sql @@ -1,54 +1,45 @@ -WITH "events" AS ( - SELECT - "session", - "stamp", - "path", - "search_type" - FROM "LOG"."LOG"."ACTIVITY_LOG" -), +WITH "events" AS + (SELECT "session", + "stamp", + "path", + "search_type" + FROM "LOG"."LOG"."ACTIVITY_LOG"), + "first_target" AS + (SELECT "session", + "path", + "search_type", + "stamp" AS "target_stamp" + FROM + (SELECT "session", + "path", + "search_type", + "stamp", + ROW_NUMBER() OVER (PARTITION BY "session" + ORDER BY "stamp") AS "rn" + FROM "events" + WHERE "path" ILIKE '%/detail%' + OR "path" ILIKE '%/complete%') t + WHERE "rn" = 1), + "pre_counts" AS + (SELECT ft."session", + ft."path" AS "target_path", + ft."search_type" AS "target_search_type", + COUNT(e.*) AS "pre_event_count" + FROM "first_target" ft + LEFT JOIN "events" e /* LEFT JOIN so zero counts are kept */ ON e."session" = ft."session" + AND e."stamp" < ft."target_stamp" -- strictly before -"first_target" AS ( - SELECT - "session", - "path", - "search_type", - "stamp" AS "target_stamp" - FROM ( - SELECT - "session", - "path", - "search_type", - "stamp", - ROW_NUMBER() OVER (PARTITION BY "session" ORDER BY "stamp") AS "rn" - FROM "events" - WHERE "path" ILIKE '%/detail%' OR "path" ILIKE '%/complete%' - ) t - WHERE "rn" = 1 -), - -"pre_counts" AS ( - SELECT - ft."session", - ft."path" AS "target_path", - ft."search_type" AS "target_search_type", - COUNT(e.*) AS "pre_event_count" - FROM "first_target" ft - LEFT JOIN "events" e /* LEFT JOIN so zero counts are kept */ - ON e."session" = ft."session" - AND e."stamp" < ft."target_stamp" -- strictly before - AND e."search_type" IS NOT NULL - AND e."search_type" <> '' - GROUP BY ft."session", ft."path", ft."search_type" -), - -"min_count" AS ( - SELECT MIN("pre_event_count") AS "min_cnt" FROM "pre_counts" -) - -SELECT - p."session", - p."target_path" AS "path", - p."target_search_type" AS "search_type" + AND e."search_type" IS NOT NULL + AND e."search_type" <> '' + GROUP BY ft."session", + ft."path", + ft."search_type"), + "min_count" AS + (SELECT MIN("pre_event_count") AS "min_cnt" + FROM "pre_counts") +SELECT p."session", + p."target_path" AS "path", + p."target_search_type" AS "search_type" FROM "pre_counts" p -JOIN "min_count" m ON p."pre_event_count" = m."min_cnt" +JOIN "min_count" m ON p."pre_event_count" = m."min_cnt" ORDER BY p."session";