Tianqin-Meng commited on
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feat: normalize all queries with sqlparse 0.5.4 (batch 1)

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  1. TPC-DS/queries/query1.sql +23 -22
  2. TPC-DS/queries/query10.sql +65 -56
  3. TPC-DS/queries/query11.sql +80 -78
  4. TPC-DS/queries/query12.sql +27 -31
  5. TPC-DS/queries/query13.sql +41 -49
  6. TPC-DS/queries/query14.sql +262 -207
  7. TPC-DS/queries/query15.sql +27 -17
  8. TPC-DS/queries/query16.sql +28 -28
  9. TPC-DS/queries/query17.sql +47 -42
  10. TPC-DS/queries/query18.sql +49 -31
  11. TPC-DS/queries/query19.sql +30 -22
  12. TPC-DS/queries/query2.sql +80 -57
  13. TPC-DS/queries/query20.sql +27 -27
  14. TPC-DS/queries/query21.sql +30 -27
  15. TPC-DS/queries/query22.sql +18 -17
  16. TPC-DS/queries/query23.sql +158 -104
  17. TPC-DS/queries/query24.sql +105 -104
  18. TPC-DS/queries/query25.sql +40 -45
  19. TPC-DS/queries/query26.sql +23 -18
  20. TPC-DS/queries/query27.sql +31 -20
  21. TPC-DS/queries/query28.sql +56 -50
  22. TPC-DS/queries/query29.sql +41 -44
  23. TPC-DS/queries/query3.sql +18 -18
  24. TPC-DS/queries/query30.sql +49 -28
  25. TPC-DS/queries/query31.sql +70 -49
  26. TPC-DS/queries/query32.sql +16 -25
  27. TPC-DS/queries/query33.sql +66 -72
  28. TPC-DS/queries/query34.sql +47 -28
  29. TPC-DS/queries/query35.sql +60 -55
  30. TPC-DS/queries/query36.sql +31 -27
  31. TPC-DS/queries/query37.sql +22 -14
  32. TPC-DS/queries/query38.sql +28 -20
  33. TPC-DS/queries/query39.sql +118 -51
  34. TPC-DS/queries/query4.sql +119 -113
  35. TPC-DS/queries/query40.sql +25 -25
  36. TPC-DS/queries/query41.sql +66 -49
  37. TPC-DS/queries/query42.sql +19 -19
  38. TPC-DS/queries/query43.sql +49 -16
  39. TPC-DS/queries/query44.sql +48 -32
  40. TPC-DS/queries/query45.sql +41 -17
  41. TPC-DS/queries/query46.sql +49 -32
  42. TPC-DS/queries/query47.sql +62 -48
  43. TPC-DS/queries/query48.sql +39 -64
  44. TPC-DS/queries/query49.sql +101 -126
  45. TPC-DS/queries/query5.sql +112 -125
  46. TPC-DS/queries/query50.sql +67 -56
  47. TPC-DS/queries/query51.sql +52 -42
  48. TPC-DS/queries/query52.sql +19 -19
  49. TPC-DS/queries/query53.sql +47 -25
  50. TPC-DS/queries/query54.sql +52 -49
TPC-DS/queries/query1.sql CHANGED
@@ -1,22 +1,23 @@
1
- with customer_total_return as
2
- (select sr_customer_sk as ctr_customer_sk
3
- ,sr_store_sk as ctr_store_sk
4
- ,sum(SR_FEE) as ctr_total_return
5
- from store_returns
6
- ,date_dim
7
- where sr_returned_date_sk = d_date_sk
8
- and d_year =2000
9
- group by sr_customer_sk
10
- ,sr_store_sk)
11
- select c_customer_id
12
- from customer_total_return ctr1
13
- ,store
14
- ,customer
15
- where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
16
- from customer_total_return ctr2
17
- where ctr1.ctr_store_sk = ctr2.ctr_store_sk)
18
- and s_store_sk = ctr1.ctr_store_sk
19
- and s_state = 'TN'
20
- and ctr1.ctr_customer_sk = c_customer_sk
21
- order by c_customer_id
22
- limit 100;
 
 
1
+ WITH customer_total_return AS
2
+ (SELECT sr_customer_sk AS ctr_customer_sk,
3
+ sr_store_sk AS ctr_store_sk,
4
+ sum(SR_FEE) AS ctr_total_return
5
+ FROM store_returns,
6
+ date_dim
7
+ WHERE sr_returned_date_sk = d_date_sk
8
+ AND d_year =2000
9
+ GROUP BY sr_customer_sk,
10
+ sr_store_sk)
11
+ SELECT c_customer_id
12
+ FROM customer_total_return ctr1,
13
+ store,
14
+ customer
15
+ WHERE ctr1.ctr_total_return >
16
+ (SELECT avg(ctr_total_return)*1.2
17
+ FROM customer_total_return ctr2
18
+ WHERE ctr1.ctr_store_sk = ctr2.ctr_store_sk)
19
+ AND s_store_sk = ctr1.ctr_store_sk
20
+ AND s_state = 'TN'
21
+ AND ctr1.ctr_customer_sk = c_customer_sk
22
+ ORDER BY c_customer_id
23
+ LIMIT 100;
TPC-DS/queries/query10.sql CHANGED
@@ -1,56 +1,65 @@
1
- select
2
- cd_gender,
3
- cd_marital_status,
4
- cd_education_status,
5
- count(*) cnt1,
6
- cd_purchase_estimate,
7
- count(*) cnt2,
8
- cd_credit_rating,
9
- count(*) cnt3,
10
- cd_dep_count,
11
- count(*) cnt4,
12
- cd_dep_employed_count,
13
- count(*) cnt5,
14
- cd_dep_college_count,
15
- count(*) cnt6
16
- from
17
- customer c,customer_address ca,customer_demographics
18
- where
19
- c.c_current_addr_sk = ca.ca_address_sk and
20
- ca_county in ('Walker County','Richland County','Gaines County','Douglas County','Dona Ana County') and
21
- cd_demo_sk = c.c_current_cdemo_sk and
22
- exists (select *
23
- from store_sales,date_dim
24
- where c.c_customer_sk = ss_customer_sk and
25
- ss_sold_date_sk = d_date_sk and
26
- d_year = 2002 and
27
- d_moy between 4 and 4+3) and
28
- (exists (select *
29
- from web_sales,date_dim
30
- where c.c_customer_sk = ws_bill_customer_sk and
31
- ws_sold_date_sk = d_date_sk and
32
- d_year = 2002 and
33
- d_moy between 4 ANd 4+3) or
34
- exists (select *
35
- from catalog_sales,date_dim
36
- where c.c_customer_sk = cs_ship_customer_sk and
37
- cs_sold_date_sk = d_date_sk and
38
- d_year = 2002 and
39
- d_moy between 4 and 4+3))
40
- group by cd_gender,
41
- cd_marital_status,
42
- cd_education_status,
43
- cd_purchase_estimate,
44
- cd_credit_rating,
45
- cd_dep_count,
46
- cd_dep_employed_count,
47
- cd_dep_college_count
48
- order by cd_gender,
49
- cd_marital_status,
50
- cd_education_status,
51
- cd_purchase_estimate,
52
- cd_credit_rating,
53
- cd_dep_count,
54
- cd_dep_employed_count,
55
- cd_dep_college_count
56
- limit 100;
 
 
 
 
 
 
 
 
 
 
1
+ SELECT cd_gender,
2
+ cd_marital_status,
3
+ cd_education_status,
4
+ count(*) cnt1,
5
+ cd_purchase_estimate,
6
+ count(*) cnt2,
7
+ cd_credit_rating,
8
+ count(*) cnt3,
9
+ cd_dep_count,
10
+ count(*) cnt4,
11
+ cd_dep_employed_count,
12
+ count(*) cnt5,
13
+ cd_dep_college_count,
14
+ count(*) cnt6
15
+ FROM customer c,
16
+ customer_address ca,
17
+ customer_demographics
18
+ WHERE c.c_current_addr_sk = ca.ca_address_sk
19
+ AND ca_county IN ('Walker County',
20
+ 'Richland County',
21
+ 'Gaines County',
22
+ 'Douglas County',
23
+ 'Dona Ana County')
24
+ AND cd_demo_sk = c.c_current_cdemo_sk
25
+ AND EXISTS
26
+ (SELECT *
27
+ FROM store_sales,
28
+ date_dim
29
+ WHERE c.c_customer_sk = ss_customer_sk
30
+ AND ss_sold_date_sk = d_date_sk
31
+ AND d_year = 2002
32
+ AND d_moy BETWEEN 4 AND 4+3)
33
+ AND (EXISTS
34
+ (SELECT *
35
+ FROM web_sales,
36
+ date_dim
37
+ WHERE c.c_customer_sk = ws_bill_customer_sk
38
+ AND ws_sold_date_sk = d_date_sk
39
+ AND d_year = 2002
40
+ AND d_moy BETWEEN 4 AND 4+3)
41
+ OR EXISTS
42
+ (SELECT *
43
+ FROM catalog_sales,
44
+ date_dim
45
+ WHERE c.c_customer_sk = cs_ship_customer_sk
46
+ AND cs_sold_date_sk = d_date_sk
47
+ AND d_year = 2002
48
+ AND d_moy BETWEEN 4 AND 4+3))
49
+ GROUP BY cd_gender,
50
+ cd_marital_status,
51
+ cd_education_status,
52
+ cd_purchase_estimate,
53
+ cd_credit_rating,
54
+ cd_dep_count,
55
+ cd_dep_employed_count,
56
+ cd_dep_college_count
57
+ ORDER BY cd_gender,
58
+ cd_marital_status,
59
+ cd_education_status,
60
+ cd_purchase_estimate,
61
+ cd_credit_rating,
62
+ cd_dep_count,
63
+ cd_dep_employed_count,
64
+ cd_dep_college_count
65
+ LIMIT 100;
TPC-DS/queries/query11.sql CHANGED
@@ -1,78 +1,80 @@
1
- with year_total as (
2
- select c_customer_id customer_id
3
- ,c_first_name customer_first_name
4
- ,c_last_name customer_last_name
5
- ,c_preferred_cust_flag customer_preferred_cust_flag
6
- ,c_birth_country customer_birth_country
7
- ,c_login customer_login
8
- ,c_email_address customer_email_address
9
- ,d_year dyear
10
- ,sum(ss_ext_list_price-ss_ext_discount_amt) year_total
11
- ,'s' sale_type
12
- from customer
13
- ,store_sales
14
- ,date_dim
15
- where c_customer_sk = ss_customer_sk
16
- and ss_sold_date_sk = d_date_sk
17
- group by c_customer_id
18
- ,c_first_name
19
- ,c_last_name
20
- ,c_preferred_cust_flag
21
- ,c_birth_country
22
- ,c_login
23
- ,c_email_address
24
- ,d_year
25
- union all
26
- select c_customer_id customer_id
27
- ,c_first_name customer_first_name
28
- ,c_last_name customer_last_name
29
- ,c_preferred_cust_flag customer_preferred_cust_flag
30
- ,c_birth_country customer_birth_country
31
- ,c_login customer_login
32
- ,c_email_address customer_email_address
33
- ,d_year dyear
34
- ,sum(ws_ext_list_price-ws_ext_discount_amt) year_total
35
- ,'w' sale_type
36
- from customer
37
- ,web_sales
38
- ,date_dim
39
- where c_customer_sk = ws_bill_customer_sk
40
- and ws_sold_date_sk = d_date_sk
41
- group by c_customer_id
42
- ,c_first_name
43
- ,c_last_name
44
- ,c_preferred_cust_flag
45
- ,c_birth_country
46
- ,c_login
47
- ,c_email_address
48
- ,d_year
49
- )
50
- select
51
- t_s_secyear.customer_id
52
- ,t_s_secyear.customer_first_name
53
- ,t_s_secyear.customer_last_name
54
- ,t_s_secyear.customer_email_address
55
- from year_total t_s_firstyear
56
- ,year_total t_s_secyear
57
- ,year_total t_w_firstyear
58
- ,year_total t_w_secyear
59
- where t_s_secyear.customer_id = t_s_firstyear.customer_id
60
- and t_s_firstyear.customer_id = t_w_secyear.customer_id
61
- and t_s_firstyear.customer_id = t_w_firstyear.customer_id
62
- and t_s_firstyear.sale_type = 's'
63
- and t_w_firstyear.sale_type = 'w'
64
- and t_s_secyear.sale_type = 's'
65
- and t_w_secyear.sale_type = 'w'
66
- and t_s_firstyear.dyear = 2001
67
- and t_s_secyear.dyear = 2001+1
68
- and t_w_firstyear.dyear = 2001
69
- and t_w_secyear.dyear = 2001+1
70
- and t_s_firstyear.year_total > 0
71
- and t_w_firstyear.year_total > 0
72
- and case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else 0.0 end
73
- > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else 0.0 end
74
- order by t_s_secyear.customer_id
75
- ,t_s_secyear.customer_first_name
76
- ,t_s_secyear.customer_last_name
77
- ,t_s_secyear.customer_email_address
78
- limit 100;
 
 
 
1
+ WITH year_total AS
2
+ (SELECT c_customer_id customer_id ,
3
+ c_first_name customer_first_name ,
4
+ c_last_name customer_last_name ,
5
+ c_preferred_cust_flag customer_preferred_cust_flag ,
6
+ c_birth_country customer_birth_country ,
7
+ c_login customer_login ,
8
+ c_email_address customer_email_address ,
9
+ d_year dyear ,
10
+ sum(ss_ext_list_price-ss_ext_discount_amt) year_total ,
11
+ 's' sale_type
12
+ FROM customer ,
13
+ store_sales ,
14
+ date_dim
15
+ WHERE c_customer_sk = ss_customer_sk
16
+ AND ss_sold_date_sk = d_date_sk
17
+ GROUP BY c_customer_id ,
18
+ c_first_name ,
19
+ c_last_name ,
20
+ c_preferred_cust_flag ,
21
+ c_birth_country ,
22
+ c_login ,
23
+ c_email_address ,
24
+ d_year
25
+ UNION ALL SELECT c_customer_id customer_id ,
26
+ c_first_name customer_first_name ,
27
+ c_last_name customer_last_name ,
28
+ c_preferred_cust_flag customer_preferred_cust_flag ,
29
+ c_birth_country customer_birth_country ,
30
+ c_login customer_login ,
31
+ c_email_address customer_email_address ,
32
+ d_year dyear ,
33
+ sum(ws_ext_list_price-ws_ext_discount_amt) year_total ,
34
+ 'w' sale_type
35
+ FROM customer ,
36
+ web_sales ,
37
+ date_dim
38
+ WHERE c_customer_sk = ws_bill_customer_sk
39
+ AND ws_sold_date_sk = d_date_sk
40
+ GROUP BY c_customer_id ,
41
+ c_first_name ,
42
+ c_last_name ,
43
+ c_preferred_cust_flag ,
44
+ c_birth_country ,
45
+ c_login ,
46
+ c_email_address ,
47
+ d_year)
48
+ SELECT t_s_secyear.customer_id ,
49
+ t_s_secyear.customer_first_name ,
50
+ t_s_secyear.customer_last_name ,
51
+ t_s_secyear.customer_email_address
52
+ FROM year_total t_s_firstyear ,
53
+ year_total t_s_secyear ,
54
+ year_total t_w_firstyear ,
55
+ year_total t_w_secyear
56
+ WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id
57
+ AND t_s_firstyear.customer_id = t_w_secyear.customer_id
58
+ AND t_s_firstyear.customer_id = t_w_firstyear.customer_id
59
+ AND t_s_firstyear.sale_type = 's'
60
+ AND t_w_firstyear.sale_type = 'w'
61
+ AND t_s_secyear.sale_type = 's'
62
+ AND t_w_secyear.sale_type = 'w'
63
+ AND t_s_firstyear.dyear = 2001
64
+ AND t_s_secyear.dyear = 2001+1
65
+ AND t_w_firstyear.dyear = 2001
66
+ AND t_w_secyear.dyear = 2001+1
67
+ AND t_s_firstyear.year_total > 0
68
+ AND t_w_firstyear.year_total > 0
69
+ AND CASE
70
+ WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / t_w_firstyear.year_total
71
+ ELSE 0.0
72
+ END > CASE
73
+ WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total
74
+ ELSE 0.0
75
+ END
76
+ ORDER BY t_s_secyear.customer_id ,
77
+ t_s_secyear.customer_first_name ,
78
+ t_s_secyear.customer_last_name ,
79
+ t_s_secyear.customer_email_address
80
+ LIMIT 100;
TPC-DS/queries/query12.sql CHANGED
@@ -1,31 +1,27 @@
1
- select i_item_id
2
- ,i_item_desc
3
- ,i_category
4
- ,i_class
5
- ,i_current_price
6
- ,sum(ws_ext_sales_price) as itemrevenue
7
- ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
8
- (partition by i_class) as revenueratio
9
- from
10
- web_sales
11
- ,item
12
- ,date_dim
13
- where
14
- ws_item_sk = i_item_sk
15
- and i_category in ('Jewelry', 'Sports', 'Books')
16
- and ws_sold_date_sk = d_date_sk
17
- and d_date between cast('2001-01-12' as date)
18
- and (cast('2001-01-12' as date) + 30 days)
19
- group by
20
- i_item_id
21
- ,i_item_desc
22
- ,i_category
23
- ,i_class
24
- ,i_current_price
25
- order by
26
- i_category
27
- ,i_class
28
- ,i_item_id
29
- ,i_item_desc
30
- ,revenueratio
31
- limit 100;
 
1
+ SELECT i_item_id ,
2
+ i_item_desc ,
3
+ i_category ,
4
+ i_class ,
5
+ i_current_price ,
6
+ sum(ws_ext_sales_price) AS itemrevenue ,
7
+ sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio
8
+ FROM web_sales ,
9
+ item ,
10
+ date_dim
11
+ WHERE ws_item_sk = i_item_sk
12
+ AND i_category IN ('Jewelry',
13
+ 'Sports',
14
+ 'Books')
15
+ AND ws_sold_date_sk = d_date_sk
16
+ AND d_date BETWEEN cast('2001-01-12' AS date) AND (cast('2001-01-12' AS date) + 30 days)
17
+ GROUP BY i_item_id ,
18
+ i_item_desc ,
19
+ i_category ,
20
+ i_class ,
21
+ i_current_price
22
+ ORDER BY i_category ,
23
+ i_class ,
24
+ i_item_id ,
25
+ i_item_desc ,
26
+ revenueratio
27
+ LIMIT 100;
 
 
 
 
TPC-DS/queries/query13.sql CHANGED
@@ -1,49 +1,41 @@
1
- select avg(ss_quantity)
2
- ,avg(ss_ext_sales_price)
3
- ,avg(ss_ext_wholesale_cost)
4
- ,sum(ss_ext_wholesale_cost)
5
- from store_sales
6
- ,store
7
- ,customer_demographics
8
- ,household_demographics
9
- ,customer_address
10
- ,date_dim
11
- where s_store_sk = ss_store_sk
12
- and ss_sold_date_sk = d_date_sk and d_year = 2001
13
- and((ss_hdemo_sk=hd_demo_sk
14
- and cd_demo_sk = ss_cdemo_sk
15
- and cd_marital_status = 'D'
16
- and cd_education_status = '2 yr Degree'
17
- and ss_sales_price between 100.00 and 150.00
18
- and hd_dep_count = 3
19
- )or
20
- (ss_hdemo_sk=hd_demo_sk
21
- and cd_demo_sk = ss_cdemo_sk
22
- and cd_marital_status = 'S'
23
- and cd_education_status = 'Secondary'
24
- and ss_sales_price between 50.00 and 100.00
25
- and hd_dep_count = 1
26
- ) or
27
- (ss_hdemo_sk=hd_demo_sk
28
- and cd_demo_sk = ss_cdemo_sk
29
- and cd_marital_status = 'W'
30
- and cd_education_status = 'Advanced Degree'
31
- and ss_sales_price between 150.00 and 200.00
32
- and hd_dep_count = 1
33
- ))
34
- and((ss_addr_sk = ca_address_sk
35
- and ca_country = 'United States'
36
- and ca_state in ('CO', 'IL', 'MN')
37
- and ss_net_profit between 100 and 200
38
- ) or
39
- (ss_addr_sk = ca_address_sk
40
- and ca_country = 'United States'
41
- and ca_state in ('OH', 'MT', 'NM')
42
- and ss_net_profit between 150 and 300
43
- ) or
44
- (ss_addr_sk = ca_address_sk
45
- and ca_country = 'United States'
46
- and ca_state in ('TX', 'MO', 'MI')
47
- and ss_net_profit between 50 and 250
48
- ))
49
- ;
 
1
+ SELECT avg(ss_quantity) ,
2
+ avg(ss_ext_sales_price) ,
3
+ avg(ss_ext_wholesale_cost) ,
4
+ sum(ss_ext_wholesale_cost)
5
+ FROM store_sales ,
6
+ store ,
7
+ customer_demographics ,
8
+ household_demographics ,
9
+ customer_address ,
10
+ date_dim
11
+ WHERE s_store_sk = ss_store_sk
12
+ AND ss_sold_date_sk = d_date_sk
13
+ AND d_year = 2001 and((ss_hdemo_sk=hd_demo_sk
14
+ AND cd_demo_sk = ss_cdemo_sk
15
+ AND cd_marital_status = 'D'
16
+ AND cd_education_status = '2 yr Degree'
17
+ AND ss_sales_price BETWEEN 100.00 AND 150.00
18
+ AND hd_dep_count = 3)
19
+ OR (ss_hdemo_sk=hd_demo_sk
20
+ AND cd_demo_sk = ss_cdemo_sk
21
+ AND cd_marital_status = 'S'
22
+ AND cd_education_status = 'Secondary'
23
+ AND ss_sales_price BETWEEN 50.00 AND 100.00
24
+ AND hd_dep_count = 1)
25
+ OR (ss_hdemo_sk=hd_demo_sk
26
+ AND cd_demo_sk = ss_cdemo_sk
27
+ AND cd_marital_status = 'W'
28
+ AND cd_education_status = 'Advanced Degree'
29
+ AND ss_sales_price BETWEEN 150.00 AND 200.00
30
+ AND hd_dep_count = 1)) and((ss_addr_sk = ca_address_sk
31
+ AND ca_country = 'United States'
32
+ AND ca_state IN ('CO', 'IL', 'MN')
33
+ AND ss_net_profit BETWEEN 100 AND 200)
34
+ OR (ss_addr_sk = ca_address_sk
35
+ AND ca_country = 'United States'
36
+ AND ca_state IN ('OH', 'MT', 'NM')
37
+ AND ss_net_profit BETWEEN 150 AND 300)
38
+ OR (ss_addr_sk = ca_address_sk
39
+ AND ca_country = 'United States'
40
+ AND ca_state IN ('TX', 'MO', 'MI')
41
+ AND ss_net_profit BETWEEN 50 AND 250)) ;
 
 
 
 
 
 
 
 
TPC-DS/queries/query14.sql CHANGED
@@ -1,207 +1,262 @@
1
- with cross_items as
2
- (select i_item_sk ss_item_sk
3
- from item,
4
- (select iss.i_brand_id brand_id
5
- ,iss.i_class_id class_id
6
- ,iss.i_category_id category_id
7
- from store_sales
8
- ,item iss
9
- ,date_dim d1
10
- where ss_item_sk = iss.i_item_sk
11
- and ss_sold_date_sk = d1.d_date_sk
12
- and d1.d_year between 1998 AND 1998 + 2
13
- intersect
14
- select ics.i_brand_id
15
- ,ics.i_class_id
16
- ,ics.i_category_id
17
- from catalog_sales
18
- ,item ics
19
- ,date_dim d2
20
- where cs_item_sk = ics.i_item_sk
21
- and cs_sold_date_sk = d2.d_date_sk
22
- and d2.d_year between 1998 AND 1998 + 2
23
- intersect
24
- select iws.i_brand_id
25
- ,iws.i_class_id
26
- ,iws.i_category_id
27
- from web_sales
28
- ,item iws
29
- ,date_dim d3
30
- where ws_item_sk = iws.i_item_sk
31
- and ws_sold_date_sk = d3.d_date_sk
32
- and d3.d_year between 1998 AND 1998 + 2)
33
- where i_brand_id = brand_id
34
- and i_class_id = class_id
35
- and i_category_id = category_id
36
- ),
37
- avg_sales as
38
- (select avg(quantity*list_price) average_sales
39
- from (select ss_quantity quantity
40
- ,ss_list_price list_price
41
- from store_sales
42
- ,date_dim
43
- where ss_sold_date_sk = d_date_sk
44
- and d_year between 1998 and 1998 + 2
45
- union all
46
- select cs_quantity quantity
47
- ,cs_list_price list_price
48
- from catalog_sales
49
- ,date_dim
50
- where cs_sold_date_sk = d_date_sk
51
- and d_year between 1998 and 1998 + 2
52
- union all
53
- select ws_quantity quantity
54
- ,ws_list_price list_price
55
- from web_sales
56
- ,date_dim
57
- where ws_sold_date_sk = d_date_sk
58
- and d_year between 1998 and 1998 + 2) x)
59
- select channel, i_brand_id,i_class_id,i_category_id,sum(sales), sum(number_sales)
60
- from(
61
- select 'store' channel, i_brand_id,i_class_id
62
- ,i_category_id,sum(ss_quantity*ss_list_price) sales
63
- , count(*) number_sales
64
- from store_sales
65
- ,item
66
- ,date_dim
67
- where ss_item_sk in (select ss_item_sk from cross_items)
68
- and ss_item_sk = i_item_sk
69
- and ss_sold_date_sk = d_date_sk
70
- and d_year = 1998+2
71
- and d_moy = 11
72
- group by i_brand_id,i_class_id,i_category_id
73
- having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)
74
- union all
75
- select 'catalog' channel, i_brand_id,i_class_id,i_category_id, sum(cs_quantity*cs_list_price) sales, count(*) number_sales
76
- from catalog_sales
77
- ,item
78
- ,date_dim
79
- where cs_item_sk in (select ss_item_sk from cross_items)
80
- and cs_item_sk = i_item_sk
81
- and cs_sold_date_sk = d_date_sk
82
- and d_year = 1998+2
83
- and d_moy = 11
84
- group by i_brand_id,i_class_id,i_category_id
85
- having sum(cs_quantity*cs_list_price) > (select average_sales from avg_sales)
86
- union all
87
- select 'web' channel, i_brand_id,i_class_id,i_category_id, sum(ws_quantity*ws_list_price) sales , count(*) number_sales
88
- from web_sales
89
- ,item
90
- ,date_dim
91
- where ws_item_sk in (select ss_item_sk from cross_items)
92
- and ws_item_sk = i_item_sk
93
- and ws_sold_date_sk = d_date_sk
94
- and d_year = 1998+2
95
- and d_moy = 11
96
- group by i_brand_id,i_class_id,i_category_id
97
- having sum(ws_quantity*ws_list_price) > (select average_sales from avg_sales)
98
- ) y
99
- group by rollup (channel, i_brand_id,i_class_id,i_category_id)
100
- order by channel,i_brand_id,i_class_id,i_category_id
101
- limit 100;
102
- with cross_items as
103
- (select i_item_sk ss_item_sk
104
- from item,
105
- (select iss.i_brand_id brand_id
106
- ,iss.i_class_id class_id
107
- ,iss.i_category_id category_id
108
- from store_sales
109
- ,item iss
110
- ,date_dim d1
111
- where ss_item_sk = iss.i_item_sk
112
- and ss_sold_date_sk = d1.d_date_sk
113
- and d1.d_year between 1998 AND 1998 + 2
114
- intersect
115
- select ics.i_brand_id
116
- ,ics.i_class_id
117
- ,ics.i_category_id
118
- from catalog_sales
119
- ,item ics
120
- ,date_dim d2
121
- where cs_item_sk = ics.i_item_sk
122
- and cs_sold_date_sk = d2.d_date_sk
123
- and d2.d_year between 1998 AND 1998 + 2
124
- intersect
125
- select iws.i_brand_id
126
- ,iws.i_class_id
127
- ,iws.i_category_id
128
- from web_sales
129
- ,item iws
130
- ,date_dim d3
131
- where ws_item_sk = iws.i_item_sk
132
- and ws_sold_date_sk = d3.d_date_sk
133
- and d3.d_year between 1998 AND 1998 + 2) x
134
- where i_brand_id = brand_id
135
- and i_class_id = class_id
136
- and i_category_id = category_id
137
- ),
138
- avg_sales as
139
- (select avg(quantity*list_price) average_sales
140
- from (select ss_quantity quantity
141
- ,ss_list_price list_price
142
- from store_sales
143
- ,date_dim
144
- where ss_sold_date_sk = d_date_sk
145
- and d_year between 1998 and 1998 + 2
146
- union all
147
- select cs_quantity quantity
148
- ,cs_list_price list_price
149
- from catalog_sales
150
- ,date_dim
151
- where cs_sold_date_sk = d_date_sk
152
- and d_year between 1998 and 1998 + 2
153
- union all
154
- select ws_quantity quantity
155
- ,ws_list_price list_price
156
- from web_sales
157
- ,date_dim
158
- where ws_sold_date_sk = d_date_sk
159
- and d_year between 1998 and 1998 + 2) x)
160
- select this_year.channel ty_channel
161
- ,this_year.i_brand_id ty_brand
162
- ,this_year.i_class_id ty_class
163
- ,this_year.i_category_id ty_category
164
- ,this_year.sales ty_sales
165
- ,this_year.number_sales ty_number_sales
166
- ,last_year.channel ly_channel
167
- ,last_year.i_brand_id ly_brand
168
- ,last_year.i_class_id ly_class
169
- ,last_year.i_category_id ly_category
170
- ,last_year.sales ly_sales
171
- ,last_year.number_sales ly_number_sales
172
- from
173
- (select 'store' channel, i_brand_id,i_class_id,i_category_id
174
- ,sum(ss_quantity*ss_list_price) sales, count(*) number_sales
175
- from store_sales
176
- ,item
177
- ,date_dim
178
- where ss_item_sk in (select ss_item_sk from cross_items)
179
- and ss_item_sk = i_item_sk
180
- and ss_sold_date_sk = d_date_sk
181
- and d_week_seq = (select d_week_seq
182
- from date_dim
183
- where d_year = 1998 + 1
184
- and d_moy = 12
185
- and d_dom = 16)
186
- group by i_brand_id,i_class_id,i_category_id
187
- having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) this_year,
188
- (select 'store' channel, i_brand_id,i_class_id
189
- ,i_category_id, sum(ss_quantity*ss_list_price) sales, count(*) number_sales
190
- from store_sales
191
- ,item
192
- ,date_dim
193
- where ss_item_sk in (select ss_item_sk from cross_items)
194
- and ss_item_sk = i_item_sk
195
- and ss_sold_date_sk = d_date_sk
196
- and d_week_seq = (select d_week_seq
197
- from date_dim
198
- where d_year = 1998
199
- and d_moy = 12
200
- and d_dom = 16)
201
- group by i_brand_id,i_class_id,i_category_id
202
- having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) last_year
203
- where this_year.i_brand_id= last_year.i_brand_id
204
- and this_year.i_class_id = last_year.i_class_id
205
- and this_year.i_category_id = last_year.i_category_id
206
- order by this_year.channel, this_year.i_brand_id, this_year.i_class_id, this_year.i_category_id
207
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ WITH cross_items AS
2
+ (SELECT i_item_sk ss_item_sk
3
+ FROM item,
4
+ (SELECT iss.i_brand_id brand_id ,
5
+ iss.i_class_id class_id ,
6
+ iss.i_category_id category_id
7
+ FROM store_sales ,
8
+ item iss ,
9
+ date_dim d1
10
+ WHERE ss_item_sk = iss.i_item_sk
11
+ AND ss_sold_date_sk = d1.d_date_sk
12
+ AND d1.d_year BETWEEN 1998 AND 1998 + 2 INTERSECT SELECT ics.i_brand_id ,
13
+ ics.i_class_id ,
14
+ ics.i_category_id
15
+ FROM catalog_sales ,
16
+ item ics ,
17
+ date_dim d2
18
+ WHERE cs_item_sk = ics.i_item_sk
19
+ AND cs_sold_date_sk = d2.d_date_sk
20
+ AND d2.d_year BETWEEN 1998 AND 1998 + 2 INTERSECT SELECT iws.i_brand_id ,
21
+ iws.i_class_id ,
22
+ iws.i_category_id
23
+ FROM web_sales ,
24
+ item iws ,
25
+ date_dim d3
26
+ WHERE ws_item_sk = iws.i_item_sk
27
+ AND ws_sold_date_sk = d3.d_date_sk
28
+ AND d3.d_year BETWEEN 1998 AND 1998 + 2)
29
+ WHERE i_brand_id = brand_id
30
+ AND i_class_id = class_id
31
+ AND i_category_id = category_id),
32
+ avg_sales AS
33
+ (SELECT avg(quantity*list_price) average_sales
34
+ FROM
35
+ (SELECT ss_quantity quantity ,
36
+ ss_list_price list_price
37
+ FROM store_sales ,
38
+ date_dim
39
+ WHERE ss_sold_date_sk = d_date_sk
40
+ AND d_year BETWEEN 1998 AND 1998 + 2
41
+ UNION ALL SELECT cs_quantity quantity ,
42
+ cs_list_price list_price
43
+ FROM catalog_sales ,
44
+ date_dim
45
+ WHERE cs_sold_date_sk = d_date_sk
46
+ AND d_year BETWEEN 1998 AND 1998 + 2
47
+ UNION ALL SELECT ws_quantity quantity ,
48
+ ws_list_price list_price
49
+ FROM web_sales ,
50
+ date_dim
51
+ WHERE ws_sold_date_sk = d_date_sk
52
+ AND d_year BETWEEN 1998 AND 1998 + 2) x)
53
+ SELECT channel,
54
+ i_brand_id,
55
+ i_class_id,
56
+ i_category_id,
57
+ sum(sales),
58
+ sum(number_sales)
59
+ FROM
60
+ (SELECT 'store' channel,
61
+ i_brand_id,
62
+ i_class_id ,
63
+ i_category_id,
64
+ sum(ss_quantity*ss_list_price) sales ,
65
+ count(*) number_sales
66
+ FROM store_sales ,
67
+ item ,
68
+ date_dim
69
+ WHERE ss_item_sk IN
70
+ (SELECT ss_item_sk
71
+ FROM cross_items)
72
+ AND ss_item_sk = i_item_sk
73
+ AND ss_sold_date_sk = d_date_sk
74
+ AND d_year = 1998+2
75
+ AND d_moy = 11
76
+ GROUP BY i_brand_id,
77
+ i_class_id,
78
+ i_category_id
79
+ HAVING sum(ss_quantity*ss_list_price) >
80
+ (SELECT average_sales
81
+ FROM avg_sales)
82
+ UNION ALL SELECT 'catalog' channel,
83
+ i_brand_id,
84
+ i_class_id,
85
+ i_category_id,
86
+ sum(cs_quantity*cs_list_price) sales,
87
+ count(*) number_sales
88
+ FROM catalog_sales ,
89
+ item ,
90
+ date_dim
91
+ WHERE cs_item_sk IN
92
+ (SELECT ss_item_sk
93
+ FROM cross_items)
94
+ AND cs_item_sk = i_item_sk
95
+ AND cs_sold_date_sk = d_date_sk
96
+ AND d_year = 1998+2
97
+ AND d_moy = 11
98
+ GROUP BY i_brand_id,
99
+ i_class_id,
100
+ i_category_id
101
+ HAVING sum(cs_quantity*cs_list_price) >
102
+ (SELECT average_sales
103
+ FROM avg_sales)
104
+ UNION ALL SELECT 'web' channel,
105
+ i_brand_id,
106
+ i_class_id,
107
+ i_category_id,
108
+ sum(ws_quantity*ws_list_price) sales,
109
+ count(*) number_sales
110
+ FROM web_sales ,
111
+ item ,
112
+ date_dim
113
+ WHERE ws_item_sk IN
114
+ (SELECT ss_item_sk
115
+ FROM cross_items)
116
+ AND ws_item_sk = i_item_sk
117
+ AND ws_sold_date_sk = d_date_sk
118
+ AND d_year = 1998+2
119
+ AND d_moy = 11
120
+ GROUP BY i_brand_id,
121
+ i_class_id,
122
+ i_category_id
123
+ HAVING sum(ws_quantity*ws_list_price) >
124
+ (SELECT average_sales
125
+ FROM avg_sales)) y
126
+ GROUP BY ROLLUP (channel,
127
+ i_brand_id,
128
+ i_class_id,
129
+ i_category_id)
130
+ ORDER BY channel,
131
+ i_brand_id,
132
+ i_class_id,
133
+ i_category_id
134
+ LIMIT 100;
135
+
136
+ WITH cross_items AS
137
+ (SELECT i_item_sk ss_item_sk
138
+ FROM item,
139
+
140
+ (SELECT iss.i_brand_id brand_id ,
141
+ iss.i_class_id class_id ,
142
+ iss.i_category_id category_id
143
+ FROM store_sales ,
144
+ item iss ,
145
+ date_dim d1
146
+ WHERE ss_item_sk = iss.i_item_sk
147
+ AND ss_sold_date_sk = d1.d_date_sk
148
+ AND d1.d_year BETWEEN 1998 AND 1998 + 2 INTERSECT SELECT ics.i_brand_id ,
149
+ ics.i_class_id ,
150
+ ics.i_category_id
151
+ FROM catalog_sales ,
152
+ item ics ,
153
+ date_dim d2
154
+ WHERE cs_item_sk = ics.i_item_sk
155
+ AND cs_sold_date_sk = d2.d_date_sk
156
+ AND d2.d_year BETWEEN 1998 AND 1998 + 2 INTERSECT SELECT iws.i_brand_id ,
157
+ iws.i_class_id ,
158
+ iws.i_category_id
159
+ FROM web_sales ,
160
+ item iws ,
161
+ date_dim d3
162
+ WHERE ws_item_sk = iws.i_item_sk
163
+ AND ws_sold_date_sk = d3.d_date_sk
164
+ AND d3.d_year BETWEEN 1998 AND 1998 + 2) x
165
+ WHERE i_brand_id = brand_id
166
+ AND i_class_id = class_id
167
+ AND i_category_id = category_id),
168
+ avg_sales AS
169
+ (SELECT avg(quantity*list_price) average_sales
170
+ FROM
171
+ (SELECT ss_quantity quantity ,
172
+ ss_list_price list_price
173
+ FROM store_sales ,
174
+ date_dim
175
+ WHERE ss_sold_date_sk = d_date_sk
176
+ AND d_year BETWEEN 1998 AND 1998 + 2
177
+ UNION ALL SELECT cs_quantity quantity ,
178
+ cs_list_price list_price
179
+ FROM catalog_sales ,
180
+ date_dim
181
+ WHERE cs_sold_date_sk = d_date_sk
182
+ AND d_year BETWEEN 1998 AND 1998 + 2
183
+ UNION ALL SELECT ws_quantity quantity ,
184
+ ws_list_price list_price
185
+ FROM web_sales ,
186
+ date_dim
187
+ WHERE ws_sold_date_sk = d_date_sk
188
+ AND d_year BETWEEN 1998 AND 1998 + 2) x)
189
+ SELECT this_year.channel ty_channel ,
190
+ this_year.i_brand_id ty_brand ,
191
+ this_year.i_class_id ty_class ,
192
+ this_year.i_category_id ty_category ,
193
+ this_year.sales ty_sales ,
194
+ this_year.number_sales ty_number_sales ,
195
+ last_year.channel ly_channel ,
196
+ last_year.i_brand_id ly_brand ,
197
+ last_year.i_class_id ly_class ,
198
+ last_year.i_category_id ly_category ,
199
+ last_year.sales ly_sales ,
200
+ last_year.number_sales ly_number_sales
201
+ FROM
202
+ (SELECT 'store' channel,
203
+ i_brand_id,
204
+ i_class_id,
205
+ i_category_id ,
206
+ sum(ss_quantity*ss_list_price) sales,
207
+ count(*) number_sales
208
+ FROM store_sales ,
209
+ item ,
210
+ date_dim
211
+ WHERE ss_item_sk IN
212
+ (SELECT ss_item_sk
213
+ FROM cross_items)
214
+ AND ss_item_sk = i_item_sk
215
+ AND ss_sold_date_sk = d_date_sk
216
+ AND d_week_seq =
217
+ (SELECT d_week_seq
218
+ FROM date_dim
219
+ WHERE d_year = 1998 + 1
220
+ AND d_moy = 12
221
+ AND d_dom = 16)
222
+ GROUP BY i_brand_id,
223
+ i_class_id,
224
+ i_category_id
225
+ HAVING sum(ss_quantity*ss_list_price) >
226
+ (SELECT average_sales
227
+ FROM avg_sales)) this_year,
228
+
229
+ (SELECT 'store' channel,
230
+ i_brand_id,
231
+ i_class_id ,
232
+ i_category_id,
233
+ sum(ss_quantity*ss_list_price) sales,
234
+ count(*) number_sales
235
+ FROM store_sales ,
236
+ item ,
237
+ date_dim
238
+ WHERE ss_item_sk IN
239
+ (SELECT ss_item_sk
240
+ FROM cross_items)
241
+ AND ss_item_sk = i_item_sk
242
+ AND ss_sold_date_sk = d_date_sk
243
+ AND d_week_seq =
244
+ (SELECT d_week_seq
245
+ FROM date_dim
246
+ WHERE d_year = 1998
247
+ AND d_moy = 12
248
+ AND d_dom = 16)
249
+ GROUP BY i_brand_id,
250
+ i_class_id,
251
+ i_category_id
252
+ HAVING sum(ss_quantity*ss_list_price) >
253
+ (SELECT average_sales
254
+ FROM avg_sales)) last_year
255
+ WHERE this_year.i_brand_id= last_year.i_brand_id
256
+ AND this_year.i_class_id = last_year.i_class_id
257
+ AND this_year.i_category_id = last_year.i_category_id
258
+ ORDER BY this_year.channel,
259
+ this_year.i_brand_id,
260
+ this_year.i_class_id,
261
+ this_year.i_category_id
262
+ LIMIT 100;
TPC-DS/queries/query15.sql CHANGED
@@ -1,17 +1,27 @@
1
- select ca_zip
2
- ,sum(cs_sales_price)
3
- from catalog_sales
4
- ,customer
5
- ,customer_address
6
- ,date_dim
7
- where cs_bill_customer_sk = c_customer_sk
8
- and c_current_addr_sk = ca_address_sk
9
- and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
10
- '85392', '85460', '80348', '81792')
11
- or ca_state in ('CA','WA','GA')
12
- or cs_sales_price > 500)
13
- and cs_sold_date_sk = d_date_sk
14
- and d_qoy = 2 and d_year = 2000
15
- group by ca_zip
16
- order by ca_zip
17
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT ca_zip ,
2
+ sum(cs_sales_price)
3
+ FROM catalog_sales ,
4
+ customer ,
5
+ customer_address ,
6
+ date_dim
7
+ WHERE cs_bill_customer_sk = c_customer_sk
8
+ AND c_current_addr_sk = ca_address_sk
9
+ AND (substr(ca_zip, 1, 5) IN ('85669',
10
+ '86197',
11
+ '88274',
12
+ '83405',
13
+ '86475',
14
+ '85392',
15
+ '85460',
16
+ '80348',
17
+ '81792')
18
+ OR ca_state IN ('CA',
19
+ 'WA',
20
+ 'GA')
21
+ OR cs_sales_price > 500)
22
+ AND cs_sold_date_sk = d_date_sk
23
+ AND d_qoy = 2
24
+ AND d_year = 2000
25
+ GROUP BY ca_zip
26
+ ORDER BY ca_zip
27
+ LIMIT 100;
TPC-DS/queries/query16.sql CHANGED
@@ -1,28 +1,28 @@
1
- select
2
- count(distinct cs_order_number) as "order count"
3
- ,sum(cs_ext_ship_cost) as "total shipping cost"
4
- ,sum(cs_net_profit) as "total net profit"
5
- from
6
- catalog_sales cs1
7
- ,date_dim
8
- ,customer_address
9
- ,call_center
10
- where
11
- d_date between '1999-2-01' and
12
- (cast('1999-2-01' as date) + 60 days)
13
- and cs1.cs_ship_date_sk = d_date_sk
14
- and cs1.cs_ship_addr_sk = ca_address_sk
15
- and ca_state = 'IL'
16
- and cs1.cs_call_center_sk = cc_call_center_sk
17
- and cc_county in ('Williamson County','Williamson County','Williamson County','Williamson County',
18
- 'Williamson County'
19
- )
20
- and exists (select *
21
- from catalog_sales cs2
22
- where cs1.cs_order_number = cs2.cs_order_number
23
- and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
24
- and not exists(select *
25
- from catalog_returns cr1
26
- where cs1.cs_order_number = cr1.cr_order_number)
27
- order by count(distinct cs_order_number)
28
- limit 100;
 
1
+ SELECT count(DISTINCT cs_order_number) AS "order count" ,
2
+ sum(cs_ext_ship_cost) AS "total shipping cost" ,
3
+ sum(cs_net_profit) AS "total net profit"
4
+ FROM catalog_sales cs1 ,
5
+ date_dim ,
6
+ customer_address ,
7
+ call_center
8
+ WHERE d_date BETWEEN '1999-2-01' AND (cast('1999-2-01' AS date) + 60 days)
9
+ AND cs1.cs_ship_date_sk = d_date_sk
10
+ AND cs1.cs_ship_addr_sk = ca_address_sk
11
+ AND ca_state = 'IL'
12
+ AND cs1.cs_call_center_sk = cc_call_center_sk
13
+ AND cc_county IN ('Williamson County',
14
+ 'Williamson County',
15
+ 'Williamson County',
16
+ 'Williamson County',
17
+ 'Williamson County')
18
+ AND EXISTS
19
+ (SELECT *
20
+ FROM catalog_sales cs2
21
+ WHERE cs1.cs_order_number = cs2.cs_order_number
22
+ AND cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)
23
+ AND NOT exists
24
+ (SELECT *
25
+ FROM catalog_returns cr1
26
+ WHERE cs1.cs_order_number = cr1.cr_order_number)
27
+ ORDER BY count(DISTINCT cs_order_number)
28
+ LIMIT 100;
TPC-DS/queries/query17.sql CHANGED
@@ -1,42 +1,47 @@
1
- select i_item_id
2
- ,i_item_desc
3
- ,s_state
4
- ,count(ss_quantity) as store_sales_quantitycount
5
- ,avg(ss_quantity) as store_sales_quantityave
6
- ,stddev_samp(ss_quantity) as store_sales_quantitystdev
7
- ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov
8
- ,count(sr_return_quantity) as store_returns_quantitycount
9
- ,avg(sr_return_quantity) as store_returns_quantityave
10
- ,stddev_samp(sr_return_quantity) as store_returns_quantitystdev
11
- ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov
12
- ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave
13
- ,stddev_samp(cs_quantity) as catalog_sales_quantitystdev
14
- ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov
15
- from store_sales
16
- ,store_returns
17
- ,catalog_sales
18
- ,date_dim d1
19
- ,date_dim d2
20
- ,date_dim d3
21
- ,store
22
- ,item
23
- where d1.d_quarter_name = '1998Q1'
24
- and d1.d_date_sk = ss_sold_date_sk
25
- and i_item_sk = ss_item_sk
26
- and s_store_sk = ss_store_sk
27
- and ss_customer_sk = sr_customer_sk
28
- and ss_item_sk = sr_item_sk
29
- and ss_ticket_number = sr_ticket_number
30
- and sr_returned_date_sk = d2.d_date_sk
31
- and d2.d_quarter_name in ('1998Q1','1998Q2','1998Q3')
32
- and sr_customer_sk = cs_bill_customer_sk
33
- and sr_item_sk = cs_item_sk
34
- and cs_sold_date_sk = d3.d_date_sk
35
- and d3.d_quarter_name in ('1998Q1','1998Q2','1998Q3')
36
- group by i_item_id
37
- ,i_item_desc
38
- ,s_state
39
- order by i_item_id
40
- ,i_item_desc
41
- ,s_state
42
- limit 100;
 
 
 
 
 
 
1
+ SELECT i_item_id ,
2
+ i_item_desc ,
3
+ s_state ,
4
+ count(ss_quantity) AS store_sales_quantitycount ,
5
+ avg(ss_quantity) AS store_sales_quantityave ,
6
+ stddev_samp(ss_quantity) AS store_sales_quantitystdev ,
7
+ stddev_samp(ss_quantity)/avg(ss_quantity) AS store_sales_quantitycov ,
8
+ count(sr_return_quantity) AS store_returns_quantitycount ,
9
+ avg(sr_return_quantity) AS store_returns_quantityave ,
10
+ stddev_samp(sr_return_quantity) AS store_returns_quantitystdev ,
11
+ stddev_samp(sr_return_quantity)/avg(sr_return_quantity) AS store_returns_quantitycov ,
12
+ count(cs_quantity) AS catalog_sales_quantitycount,
13
+ avg(cs_quantity) AS catalog_sales_quantityave ,
14
+ stddev_samp(cs_quantity) AS catalog_sales_quantitystdev ,
15
+ stddev_samp(cs_quantity)/avg(cs_quantity) AS catalog_sales_quantitycov
16
+ FROM store_sales ,
17
+ store_returns ,
18
+ catalog_sales ,
19
+ date_dim d1 ,
20
+ date_dim d2 ,
21
+ date_dim d3 ,
22
+ store ,
23
+ item
24
+ WHERE d1.d_quarter_name = '1998Q1'
25
+ AND d1.d_date_sk = ss_sold_date_sk
26
+ AND i_item_sk = ss_item_sk
27
+ AND s_store_sk = ss_store_sk
28
+ AND ss_customer_sk = sr_customer_sk
29
+ AND ss_item_sk = sr_item_sk
30
+ AND ss_ticket_number = sr_ticket_number
31
+ AND sr_returned_date_sk = d2.d_date_sk
32
+ AND d2.d_quarter_name IN ('1998Q1',
33
+ '1998Q2',
34
+ '1998Q3')
35
+ AND sr_customer_sk = cs_bill_customer_sk
36
+ AND sr_item_sk = cs_item_sk
37
+ AND cs_sold_date_sk = d3.d_date_sk
38
+ AND d3.d_quarter_name IN ('1998Q1',
39
+ '1998Q2',
40
+ '1998Q3')
41
+ GROUP BY i_item_id ,
42
+ i_item_desc ,
43
+ s_state
44
+ ORDER BY i_item_id ,
45
+ i_item_desc ,
46
+ s_state
47
+ LIMIT 100;
TPC-DS/queries/query18.sql CHANGED
@@ -1,31 +1,49 @@
1
- select i_item_id,
2
- ca_country,
3
- ca_state,
4
- ca_county,
5
- avg( cast(cs_quantity as decimal(12,2))) agg1,
6
- avg( cast(cs_list_price as decimal(12,2))) agg2,
7
- avg( cast(cs_coupon_amt as decimal(12,2))) agg3,
8
- avg( cast(cs_sales_price as decimal(12,2))) agg4,
9
- avg( cast(cs_net_profit as decimal(12,2))) agg5,
10
- avg( cast(c_birth_year as decimal(12,2))) agg6,
11
- avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7
12
- from catalog_sales, customer_demographics cd1,
13
- customer_demographics cd2, customer, customer_address, date_dim, item
14
- where cs_sold_date_sk = d_date_sk and
15
- cs_item_sk = i_item_sk and
16
- cs_bill_cdemo_sk = cd1.cd_demo_sk and
17
- cs_bill_customer_sk = c_customer_sk and
18
- cd1.cd_gender = 'M' and
19
- cd1.cd_education_status = 'College' and
20
- c_current_cdemo_sk = cd2.cd_demo_sk and
21
- c_current_addr_sk = ca_address_sk and
22
- c_birth_month in (9,5,12,4,1,10) and
23
- d_year = 2001 and
24
- ca_state in ('ND','WI','AL'
25
- ,'NC','OK','MS','TN')
26
- group by rollup (i_item_id, ca_country, ca_state, ca_county)
27
- order by ca_country,
28
- ca_state,
29
- ca_county,
30
- i_item_id
31
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT i_item_id,
2
+ ca_country,
3
+ ca_state,
4
+ ca_county,
5
+ avg(cast(cs_quantity AS decimal(12, 2))) agg1,
6
+ avg(cast(cs_list_price AS decimal(12, 2))) agg2,
7
+ avg(cast(cs_coupon_amt AS decimal(12, 2))) agg3,
8
+ avg(cast(cs_sales_price AS decimal(12, 2))) agg4,
9
+ avg(cast(cs_net_profit AS decimal(12, 2))) agg5,
10
+ avg(cast(c_birth_year AS decimal(12, 2))) agg6,
11
+ avg(cast(cd1.cd_dep_count AS decimal(12, 2))) agg7
12
+ FROM catalog_sales,
13
+ customer_demographics cd1,
14
+ customer_demographics cd2,
15
+ customer,
16
+ customer_address,
17
+ date_dim,
18
+ item
19
+ WHERE cs_sold_date_sk = d_date_sk
20
+ AND cs_item_sk = i_item_sk
21
+ AND cs_bill_cdemo_sk = cd1.cd_demo_sk
22
+ AND cs_bill_customer_sk = c_customer_sk
23
+ AND cd1.cd_gender = 'M'
24
+ AND cd1.cd_education_status = 'College'
25
+ AND c_current_cdemo_sk = cd2.cd_demo_sk
26
+ AND c_current_addr_sk = ca_address_sk
27
+ AND c_birth_month IN (9,
28
+ 5,
29
+ 12,
30
+ 4,
31
+ 1,
32
+ 10)
33
+ AND d_year = 2001
34
+ AND ca_state IN ('ND',
35
+ 'WI',
36
+ 'AL' ,
37
+ 'NC',
38
+ 'OK',
39
+ 'MS',
40
+ 'TN')
41
+ GROUP BY ROLLUP (i_item_id,
42
+ ca_country,
43
+ ca_state,
44
+ ca_county)
45
+ ORDER BY ca_country,
46
+ ca_state,
47
+ ca_county,
48
+ i_item_id
49
+ LIMIT 100;
TPC-DS/queries/query19.sql CHANGED
@@ -1,22 +1,30 @@
1
- select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
2
- sum(ss_ext_sales_price) ext_price
3
- from date_dim, store_sales, item,customer,customer_address,store
4
- where d_date_sk = ss_sold_date_sk
5
- and ss_item_sk = i_item_sk
6
- and i_manager_id=7
7
- and d_moy=11
8
- and d_year=1999
9
- and ss_customer_sk = c_customer_sk
10
- and c_current_addr_sk = ca_address_sk
11
- and substr(ca_zip,1,5) <> substr(s_zip,1,5)
12
- and ss_store_sk = s_store_sk
13
- group by i_brand
14
- ,i_brand_id
15
- ,i_manufact_id
16
- ,i_manufact
17
- order by ext_price desc
18
- ,i_brand
19
- ,i_brand_id
20
- ,i_manufact_id
21
- ,i_manufact
22
- limit 100 ;
 
 
 
 
 
 
 
 
 
1
+ SELECT i_brand_id brand_id,
2
+ i_brand brand,
3
+ i_manufact_id,
4
+ i_manufact,
5
+ sum(ss_ext_sales_price) ext_price
6
+ FROM date_dim,
7
+ store_sales,
8
+ item,
9
+ customer,
10
+ customer_address,
11
+ store
12
+ WHERE d_date_sk = ss_sold_date_sk
13
+ AND ss_item_sk = i_item_sk
14
+ AND i_manager_id=7
15
+ AND d_moy=11
16
+ AND d_year=1999
17
+ AND ss_customer_sk = c_customer_sk
18
+ AND c_current_addr_sk = ca_address_sk
19
+ AND substr(ca_zip, 1, 5) <> substr(s_zip, 1, 5)
20
+ AND ss_store_sk = s_store_sk
21
+ GROUP BY i_brand ,
22
+ i_brand_id ,
23
+ i_manufact_id ,
24
+ i_manufact
25
+ ORDER BY ext_price DESC ,
26
+ i_brand ,
27
+ i_brand_id ,
28
+ i_manufact_id ,
29
+ i_manufact
30
+ LIMIT 100 ;
TPC-DS/queries/query2.sql CHANGED
@@ -1,57 +1,80 @@
1
- with wscs as
2
- (select sold_date_sk
3
- ,sales_price
4
- from (select ws_sold_date_sk sold_date_sk
5
- ,ws_ext_sales_price sales_price
6
- from web_sales
7
- union all
8
- select cs_sold_date_sk sold_date_sk
9
- ,cs_ext_sales_price sales_price
10
- from catalog_sales)),
11
- wswscs as
12
- (select d_week_seq,
13
- sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
14
- sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
15
- sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales,
16
- sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
17
- sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
18
- sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
19
- sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
20
- from wscs
21
- ,date_dim
22
- where d_date_sk = sold_date_sk
23
- group by d_week_seq)
24
- select d_week_seq1
25
- ,round(sun_sales1/sun_sales2,2)
26
- ,round(mon_sales1/mon_sales2,2)
27
- ,round(tue_sales1/tue_sales2,2)
28
- ,round(wed_sales1/wed_sales2,2)
29
- ,round(thu_sales1/thu_sales2,2)
30
- ,round(fri_sales1/fri_sales2,2)
31
- ,round(sat_sales1/sat_sales2,2)
32
- from
33
- (select wswscs.d_week_seq d_week_seq1
34
- ,sun_sales sun_sales1
35
- ,mon_sales mon_sales1
36
- ,tue_sales tue_sales1
37
- ,wed_sales wed_sales1
38
- ,thu_sales thu_sales1
39
- ,fri_sales fri_sales1
40
- ,sat_sales sat_sales1
41
- from wswscs,date_dim
42
- where date_dim.d_week_seq = wswscs.d_week_seq and
43
- d_year = 2001) y,
44
- (select wswscs.d_week_seq d_week_seq2
45
- ,sun_sales sun_sales2
46
- ,mon_sales mon_sales2
47
- ,tue_sales tue_sales2
48
- ,wed_sales wed_sales2
49
- ,thu_sales thu_sales2
50
- ,fri_sales fri_sales2
51
- ,sat_sales sat_sales2
52
- from wswscs
53
- ,date_dim
54
- where date_dim.d_week_seq = wswscs.d_week_seq and
55
- d_year = 2001+1) z
56
- where d_week_seq1=d_week_seq2-53
57
- order by d_week_seq1;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ WITH wscs AS
2
+ (SELECT sold_date_sk ,
3
+ sales_price
4
+ FROM
5
+ (SELECT ws_sold_date_sk sold_date_sk ,
6
+ ws_ext_sales_price sales_price
7
+ FROM web_sales
8
+ UNION ALL SELECT cs_sold_date_sk sold_date_sk ,
9
+ cs_ext_sales_price sales_price
10
+ FROM catalog_sales)),
11
+ wswscs AS
12
+ (SELECT d_week_seq,
13
+ sum(CASE
14
+ WHEN (d_day_name='Sunday') THEN sales_price
15
+ ELSE NULL
16
+ END) sun_sales,
17
+ sum(CASE
18
+ WHEN (d_day_name='Monday') THEN sales_price
19
+ ELSE NULL
20
+ END) mon_sales,
21
+ sum(CASE
22
+ WHEN (d_day_name='Tuesday') THEN sales_price
23
+ ELSE NULL
24
+ END) tue_sales,
25
+ sum(CASE
26
+ WHEN (d_day_name='Wednesday') THEN sales_price
27
+ ELSE NULL
28
+ END) wed_sales,
29
+ sum(CASE
30
+ WHEN (d_day_name='Thursday') THEN sales_price
31
+ ELSE NULL
32
+ END) thu_sales,
33
+ sum(CASE
34
+ WHEN (d_day_name='Friday') THEN sales_price
35
+ ELSE NULL
36
+ END) fri_sales,
37
+ sum(CASE
38
+ WHEN (d_day_name='Saturday') THEN sales_price
39
+ ELSE NULL
40
+ END) sat_sales
41
+ FROM wscs ,
42
+ date_dim
43
+ WHERE d_date_sk = sold_date_sk
44
+ GROUP BY d_week_seq)
45
+ SELECT d_week_seq1 ,
46
+ round(sun_sales1/sun_sales2, 2) ,
47
+ round(mon_sales1/mon_sales2, 2) ,
48
+ round(tue_sales1/tue_sales2, 2) ,
49
+ round(wed_sales1/wed_sales2, 2) ,
50
+ round(thu_sales1/thu_sales2, 2) ,
51
+ round(fri_sales1/fri_sales2, 2) ,
52
+ round(sat_sales1/sat_sales2, 2)
53
+ FROM
54
+ (SELECT wswscs.d_week_seq d_week_seq1 ,
55
+ sun_sales sun_sales1 ,
56
+ mon_sales mon_sales1 ,
57
+ tue_sales tue_sales1 ,
58
+ wed_sales wed_sales1 ,
59
+ thu_sales thu_sales1 ,
60
+ fri_sales fri_sales1 ,
61
+ sat_sales sat_sales1
62
+ FROM wswscs,
63
+ date_dim
64
+ WHERE date_dim.d_week_seq = wswscs.d_week_seq
65
+ AND d_year = 2001) y,
66
+
67
+ (SELECT wswscs.d_week_seq d_week_seq2 ,
68
+ sun_sales sun_sales2 ,
69
+ mon_sales mon_sales2 ,
70
+ tue_sales tue_sales2 ,
71
+ wed_sales wed_sales2 ,
72
+ thu_sales thu_sales2 ,
73
+ fri_sales fri_sales2 ,
74
+ sat_sales sat_sales2
75
+ FROM wswscs ,
76
+ date_dim
77
+ WHERE date_dim.d_week_seq = wswscs.d_week_seq
78
+ AND d_year = 2001+1) z
79
+ WHERE d_week_seq1=d_week_seq2-53
80
+ ORDER BY d_week_seq1;
TPC-DS/queries/query20.sql CHANGED
@@ -1,27 +1,27 @@
1
- select i_item_id
2
- ,i_item_desc
3
- ,i_category
4
- ,i_class
5
- ,i_current_price
6
- ,sum(cs_ext_sales_price) as itemrevenue
7
- ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over
8
- (partition by i_class) as revenueratio
9
- from catalog_sales
10
- ,item
11
- ,date_dim
12
- where cs_item_sk = i_item_sk
13
- and i_category in ('Jewelry', 'Sports', 'Books')
14
- and cs_sold_date_sk = d_date_sk
15
- and d_date between cast('2001-01-12' as date)
16
- and (cast('2001-01-12' as date) + 30 days)
17
- group by i_item_id
18
- ,i_item_desc
19
- ,i_category
20
- ,i_class
21
- ,i_current_price
22
- order by i_category
23
- ,i_class
24
- ,i_item_id
25
- ,i_item_desc
26
- ,revenueratio
27
- limit 100;
 
1
+ SELECT i_item_id ,
2
+ i_item_desc ,
3
+ i_category ,
4
+ i_class ,
5
+ i_current_price ,
6
+ sum(cs_ext_sales_price) AS itemrevenue ,
7
+ sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio
8
+ FROM catalog_sales ,
9
+ item ,
10
+ date_dim
11
+ WHERE cs_item_sk = i_item_sk
12
+ AND i_category IN ('Jewelry',
13
+ 'Sports',
14
+ 'Books')
15
+ AND cs_sold_date_sk = d_date_sk
16
+ AND d_date BETWEEN cast('2001-01-12' AS date) AND (cast('2001-01-12' AS date) + 30 days)
17
+ GROUP BY i_item_id ,
18
+ i_item_desc ,
19
+ i_category ,
20
+ i_class ,
21
+ i_current_price
22
+ ORDER BY i_category ,
23
+ i_class ,
24
+ i_item_id ,
25
+ i_item_desc ,
26
+ revenueratio
27
+ LIMIT 100;
TPC-DS/queries/query21.sql CHANGED
@@ -1,27 +1,30 @@
1
- select *
2
- from(select w_warehouse_name
3
- ,i_item_id
4
- ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date))
5
- then inv_quantity_on_hand
6
- else 0 end) as inv_before
7
- ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date))
8
- then inv_quantity_on_hand
9
- else 0 end) as inv_after
10
- from inventory
11
- ,warehouse
12
- ,item
13
- ,date_dim
14
- where i_current_price between 0.99 and 1.49
15
- and i_item_sk = inv_item_sk
16
- and inv_warehouse_sk = w_warehouse_sk
17
- and inv_date_sk = d_date_sk
18
- and d_date between (cast ('1998-04-08' as date) - 30 days)
19
- and (cast ('1998-04-08' as date) + 30 days)
20
- group by w_warehouse_name, i_item_id) x
21
- where (case when inv_before > 0
22
- then inv_after / inv_before
23
- else null
24
- end) between 2.0/3.0 and 3.0/2.0
25
- order by w_warehouse_name
26
- ,i_item_id
27
- limit 100;
 
 
 
 
1
+ SELECT *
2
+ FROM
3
+ (SELECT w_warehouse_name ,
4
+ i_item_id ,
5
+ sum(CASE
6
+ WHEN (cast(d_date AS date) < CAST ('1998-04-08' AS date)) THEN inv_quantity_on_hand
7
+ ELSE 0
8
+ END) AS inv_before ,
9
+ sum(CASE
10
+ WHEN (cast(d_date AS date) >= CAST ('1998-04-08' AS date)) THEN inv_quantity_on_hand
11
+ ELSE 0
12
+ END) AS inv_after
13
+ FROM inventory ,
14
+ warehouse ,
15
+ item ,
16
+ date_dim
17
+ WHERE i_current_price BETWEEN 0.99 AND 1.49
18
+ AND i_item_sk = inv_item_sk
19
+ AND inv_warehouse_sk = w_warehouse_sk
20
+ AND inv_date_sk = d_date_sk
21
+ AND d_date BETWEEN (CAST ('1998-04-08' AS date) - 30 days) AND (CAST ('1998-04-08' AS date) + 30 days)
22
+ GROUP BY w_warehouse_name,
23
+ i_item_id) x
24
+ WHERE (CASE
25
+ WHEN inv_before > 0 THEN inv_after / inv_before
26
+ ELSE NULL
27
+ END) BETWEEN 2.0/3.0 AND 3.0/2.0
28
+ ORDER BY w_warehouse_name ,
29
+ i_item_id
30
+ LIMIT 100;
TPC-DS/queries/query22.sql CHANGED
@@ -1,17 +1,18 @@
1
- select i_product_name
2
- ,i_brand
3
- ,i_class
4
- ,i_category
5
- ,avg(inv_quantity_on_hand) qoh
6
- from inventory
7
- ,date_dim
8
- ,item
9
- where inv_date_sk=d_date_sk
10
- and inv_item_sk=i_item_sk
11
- and d_month_seq between 1212 and 1212 + 11
12
- group by rollup(i_product_name
13
- ,i_brand
14
- ,i_class
15
- ,i_category)
16
- order by qoh, i_product_name, i_brand, i_class, i_category
17
- limit 100;
 
 
1
+ SELECT i_product_name ,
2
+ i_brand ,
3
+ i_class ,
4
+ i_category ,
5
+ avg(inv_quantity_on_hand) qoh
6
+ FROM inventory ,
7
+ date_dim ,
8
+ item
9
+ WHERE inv_date_sk=d_date_sk
10
+ AND inv_item_sk=i_item_sk
11
+ AND d_month_seq BETWEEN 1212 AND 1212 + 11
12
+ GROUP BY rollup(i_product_name , i_brand , i_class , i_category)
13
+ ORDER BY qoh,
14
+ i_product_name,
15
+ i_brand,
16
+ i_class,
17
+ i_category
18
+ LIMIT 100;
TPC-DS/queries/query23.sql CHANGED
@@ -1,104 +1,158 @@
1
- with frequent_ss_items as
2
- (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
3
- from store_sales
4
- ,date_dim
5
- ,item
6
- where ss_sold_date_sk = d_date_sk
7
- and ss_item_sk = i_item_sk
8
- and d_year in (1999,1999+1,1999+2,1999+3)
9
- group by substr(i_item_desc,1,30),i_item_sk,d_date
10
- having count(*) >4),
11
- max_store_sales as
12
- (select max(csales) tpcds_cmax
13
- from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
14
- from store_sales
15
- ,customer
16
- ,date_dim
17
- where ss_customer_sk = c_customer_sk
18
- and ss_sold_date_sk = d_date_sk
19
- and d_year in (1999,1999+1,1999+2,1999+3)
20
- group by c_customer_sk)),
21
- best_ss_customer as
22
- (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
23
- from store_sales
24
- ,customer
25
- where ss_customer_sk = c_customer_sk
26
- group by c_customer_sk
27
- having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
28
- *
29
- from
30
- max_store_sales))
31
- select sum(sales)
32
- from (select cs_quantity*cs_list_price sales
33
- from catalog_sales
34
- ,date_dim
35
- where d_year = 1999
36
- and d_moy = 1
37
- and cs_sold_date_sk = d_date_sk
38
- and cs_item_sk in (select item_sk from frequent_ss_items)
39
- and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)
40
- union all
41
- select ws_quantity*ws_list_price sales
42
- from web_sales
43
- ,date_dim
44
- where d_year = 1999
45
- and d_moy = 1
46
- and ws_sold_date_sk = d_date_sk
47
- and ws_item_sk in (select item_sk from frequent_ss_items)
48
- and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer))
49
- limit 100;
50
- with frequent_ss_items as
51
- (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
52
- from store_sales
53
- ,date_dim
54
- ,item
55
- where ss_sold_date_sk = d_date_sk
56
- and ss_item_sk = i_item_sk
57
- and d_year in (1999,1999 + 1,1999 + 2,1999 + 3)
58
- group by substr(i_item_desc,1,30),i_item_sk,d_date
59
- having count(*) >4),
60
- max_store_sales as
61
- (select max(csales) tpcds_cmax
62
- from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales
63
- from store_sales
64
- ,customer
65
- ,date_dim
66
- where ss_customer_sk = c_customer_sk
67
- and ss_sold_date_sk = d_date_sk
68
- and d_year in (1999,1999+1,1999+2,1999+3)
69
- group by c_customer_sk)),
70
- best_ss_customer as
71
- (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales
72
- from store_sales
73
- ,customer
74
- where ss_customer_sk = c_customer_sk
75
- group by c_customer_sk
76
- having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select
77
- *
78
- from max_store_sales))
79
- select c_last_name,c_first_name,sales
80
- from (select c_last_name,c_first_name,sum(cs_quantity*cs_list_price) sales
81
- from catalog_sales
82
- ,customer
83
- ,date_dim
84
- where d_year = 1999
85
- and d_moy = 1
86
- and cs_sold_date_sk = d_date_sk
87
- and cs_item_sk in (select item_sk from frequent_ss_items)
88
- and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer)
89
- and cs_bill_customer_sk = c_customer_sk
90
- group by c_last_name,c_first_name
91
- union all
92
- select c_last_name,c_first_name,sum(ws_quantity*ws_list_price) sales
93
- from web_sales
94
- ,customer
95
- ,date_dim
96
- where d_year = 1999
97
- and d_moy = 1
98
- and ws_sold_date_sk = d_date_sk
99
- and ws_item_sk in (select item_sk from frequent_ss_items)
100
- and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer)
101
- and ws_bill_customer_sk = c_customer_sk
102
- group by c_last_name,c_first_name)
103
- order by c_last_name,c_first_name,sales
104
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ WITH frequent_ss_items AS
2
+ (SELECT substr(i_item_desc, 1, 30) itemdesc,
3
+ i_item_sk item_sk,
4
+ d_date solddate,
5
+ count(*) cnt
6
+ FROM store_sales ,
7
+ date_dim ,
8
+ item
9
+ WHERE ss_sold_date_sk = d_date_sk
10
+ AND ss_item_sk = i_item_sk
11
+ AND d_year IN (1999,
12
+ 1999+1,
13
+ 1999+2,
14
+ 1999+3)
15
+ GROUP BY substr(i_item_desc, 1, 30),
16
+ i_item_sk,
17
+ d_date
18
+ HAVING count(*) >4),
19
+ max_store_sales AS
20
+ (SELECT max(csales) tpcds_cmax
21
+ FROM
22
+ (SELECT c_customer_sk,
23
+ sum(ss_quantity*ss_sales_price) csales
24
+ FROM store_sales ,
25
+ customer ,
26
+ date_dim
27
+ WHERE ss_customer_sk = c_customer_sk
28
+ AND ss_sold_date_sk = d_date_sk
29
+ AND d_year IN (1999,
30
+ 1999+1,
31
+ 1999+2,
32
+ 1999+3)
33
+ GROUP BY c_customer_sk)),
34
+ best_ss_customer AS
35
+ (SELECT c_customer_sk,
36
+ sum(ss_quantity*ss_sales_price) ssales
37
+ FROM store_sales ,
38
+ customer
39
+ WHERE ss_customer_sk = c_customer_sk
40
+ GROUP BY c_customer_sk
41
+ HAVING sum(ss_quantity*ss_sales_price) > (95/100.0) *
42
+ (SELECT *
43
+ FROM max_store_sales))
44
+ SELECT sum(sales)
45
+ FROM
46
+ (SELECT cs_quantity*cs_list_price sales
47
+ FROM catalog_sales ,
48
+ date_dim
49
+ WHERE d_year = 1999
50
+ AND d_moy = 1
51
+ AND cs_sold_date_sk = d_date_sk
52
+ AND cs_item_sk IN
53
+ (SELECT item_sk
54
+ FROM frequent_ss_items)
55
+ AND cs_bill_customer_sk IN
56
+ (SELECT c_customer_sk
57
+ FROM best_ss_customer)
58
+ UNION ALL SELECT ws_quantity*ws_list_price sales
59
+ FROM web_sales ,
60
+ date_dim
61
+ WHERE d_year = 1999
62
+ AND d_moy = 1
63
+ AND ws_sold_date_sk = d_date_sk
64
+ AND ws_item_sk IN
65
+ (SELECT item_sk
66
+ FROM frequent_ss_items)
67
+ AND ws_bill_customer_sk IN
68
+ (SELECT c_customer_sk
69
+ FROM best_ss_customer))
70
+ LIMIT 100;
71
+
72
+ WITH frequent_ss_items AS
73
+ (SELECT substr(i_item_desc, 1, 30) itemdesc,
74
+ i_item_sk item_sk,
75
+ d_date solddate,
76
+ count(*) cnt
77
+ FROM store_sales ,
78
+ date_dim ,
79
+ item
80
+ WHERE ss_sold_date_sk = d_date_sk
81
+ AND ss_item_sk = i_item_sk
82
+ AND d_year IN (1999,
83
+ 1999 + 1,
84
+ 1999 + 2,
85
+ 1999 + 3)
86
+ GROUP BY substr(i_item_desc, 1, 30),
87
+ i_item_sk,
88
+ d_date
89
+ HAVING count(*) >4),
90
+ max_store_sales AS
91
+ (SELECT max(csales) tpcds_cmax
92
+ FROM
93
+ (SELECT c_customer_sk,
94
+ sum(ss_quantity*ss_sales_price) csales
95
+ FROM store_sales ,
96
+ customer ,
97
+ date_dim
98
+ WHERE ss_customer_sk = c_customer_sk
99
+ AND ss_sold_date_sk = d_date_sk
100
+ AND d_year IN (1999,
101
+ 1999+1,
102
+ 1999+2,
103
+ 1999+3)
104
+ GROUP BY c_customer_sk)),
105
+ best_ss_customer AS
106
+ (SELECT c_customer_sk,
107
+ sum(ss_quantity*ss_sales_price) ssales
108
+ FROM store_sales ,
109
+ customer
110
+ WHERE ss_customer_sk = c_customer_sk
111
+ GROUP BY c_customer_sk
112
+ HAVING sum(ss_quantity*ss_sales_price) > (95/100.0) *
113
+ (SELECT *
114
+ FROM max_store_sales))
115
+ SELECT c_last_name,
116
+ c_first_name,
117
+ sales
118
+ FROM
119
+ (SELECT c_last_name,
120
+ c_first_name,
121
+ sum(cs_quantity*cs_list_price) sales
122
+ FROM catalog_sales ,
123
+ customer ,
124
+ date_dim
125
+ WHERE d_year = 1999
126
+ AND d_moy = 1
127
+ AND cs_sold_date_sk = d_date_sk
128
+ AND cs_item_sk IN
129
+ (SELECT item_sk
130
+ FROM frequent_ss_items)
131
+ AND cs_bill_customer_sk IN
132
+ (SELECT c_customer_sk
133
+ FROM best_ss_customer)
134
+ AND cs_bill_customer_sk = c_customer_sk
135
+ GROUP BY c_last_name,
136
+ c_first_name
137
+ UNION ALL SELECT c_last_name,
138
+ c_first_name,
139
+ sum(ws_quantity*ws_list_price) sales
140
+ FROM web_sales ,
141
+ customer ,
142
+ date_dim
143
+ WHERE d_year = 1999
144
+ AND d_moy = 1
145
+ AND ws_sold_date_sk = d_date_sk
146
+ AND ws_item_sk IN
147
+ (SELECT item_sk
148
+ FROM frequent_ss_items)
149
+ AND ws_bill_customer_sk IN
150
+ (SELECT c_customer_sk
151
+ FROM best_ss_customer)
152
+ AND ws_bill_customer_sk = c_customer_sk
153
+ GROUP BY c_last_name,
154
+ c_first_name)
155
+ ORDER BY c_last_name,
156
+ c_first_name,
157
+ sales
158
+ LIMIT 100;
TPC-DS/queries/query24.sql CHANGED
@@ -1,104 +1,105 @@
1
- with ssales as
2
- (select c_last_name
3
- ,c_first_name
4
- ,s_store_name
5
- ,ca_state
6
- ,s_state
7
- ,i_color
8
- ,i_current_price
9
- ,i_manager_id
10
- ,i_units
11
- ,i_size
12
- ,sum(ss_sales_price) netpaid
13
- from store_sales
14
- ,store_returns
15
- ,store
16
- ,item
17
- ,customer
18
- ,customer_address
19
- where ss_ticket_number = sr_ticket_number
20
- and ss_item_sk = sr_item_sk
21
- and ss_customer_sk = c_customer_sk
22
- and ss_item_sk = i_item_sk
23
- and ss_store_sk = s_store_sk
24
- and c_current_addr_sk = ca_address_sk
25
- and c_birth_country <> upper(ca_country)
26
- and s_zip = ca_zip
27
- and s_market_id=7
28
- group by c_last_name
29
- ,c_first_name
30
- ,s_store_name
31
- ,ca_state
32
- ,s_state
33
- ,i_color
34
- ,i_current_price
35
- ,i_manager_id
36
- ,i_units
37
- ,i_size)
38
- select c_last_name
39
- ,c_first_name
40
- ,s_store_name
41
- ,sum(netpaid) paid
42
- from ssales
43
- where i_color = 'orchid'
44
- group by c_last_name
45
- ,c_first_name
46
- ,s_store_name
47
- having sum(netpaid) > (select 0.05*avg(netpaid)
48
- from ssales)
49
- order by c_last_name
50
- ,c_first_name
51
- ,s_store_name
52
- ;
53
- with ssales as
54
- (select c_last_name
55
- ,c_first_name
56
- ,s_store_name
57
- ,ca_state
58
- ,s_state
59
- ,i_color
60
- ,i_current_price
61
- ,i_manager_id
62
- ,i_units
63
- ,i_size
64
- ,sum(ss_sales_price) netpaid
65
- from store_sales
66
- ,store_returns
67
- ,store
68
- ,item
69
- ,customer
70
- ,customer_address
71
- where ss_ticket_number = sr_ticket_number
72
- and ss_item_sk = sr_item_sk
73
- and ss_customer_sk = c_customer_sk
74
- and ss_item_sk = i_item_sk
75
- and ss_store_sk = s_store_sk
76
- and c_current_addr_sk = ca_address_sk
77
- and c_birth_country <> upper(ca_country)
78
- and s_zip = ca_zip
79
- and s_market_id = 7
80
- group by c_last_name
81
- ,c_first_name
82
- ,s_store_name
83
- ,ca_state
84
- ,s_state
85
- ,i_color
86
- ,i_current_price
87
- ,i_manager_id
88
- ,i_units
89
- ,i_size)
90
- select c_last_name
91
- ,c_first_name
92
- ,s_store_name
93
- ,sum(netpaid) paid
94
- from ssales
95
- where i_color = 'chiffon'
96
- group by c_last_name
97
- ,c_first_name
98
- ,s_store_name
99
- having sum(netpaid) > (select 0.05*avg(netpaid)
100
- from ssales)
101
- order by c_last_name
102
- ,c_first_name
103
- ,s_store_name
104
- ;
 
 
1
+ WITH ssales AS
2
+ (SELECT c_last_name ,
3
+ c_first_name ,
4
+ s_store_name ,
5
+ ca_state ,
6
+ s_state ,
7
+ i_color ,
8
+ i_current_price ,
9
+ i_manager_id ,
10
+ i_units ,
11
+ i_size ,
12
+ sum(ss_sales_price) netpaid
13
+ FROM store_sales ,
14
+ store_returns ,
15
+ store ,
16
+ item ,
17
+ customer ,
18
+ customer_address
19
+ WHERE ss_ticket_number = sr_ticket_number
20
+ AND ss_item_sk = sr_item_sk
21
+ AND ss_customer_sk = c_customer_sk
22
+ AND ss_item_sk = i_item_sk
23
+ AND ss_store_sk = s_store_sk
24
+ AND c_current_addr_sk = ca_address_sk
25
+ AND c_birth_country <> upper(ca_country)
26
+ AND s_zip = ca_zip
27
+ AND s_market_id=7
28
+ GROUP BY c_last_name ,
29
+ c_first_name ,
30
+ s_store_name ,
31
+ ca_state ,
32
+ s_state ,
33
+ i_color ,
34
+ i_current_price ,
35
+ i_manager_id ,
36
+ i_units ,
37
+ i_size)
38
+ SELECT c_last_name ,
39
+ c_first_name ,
40
+ s_store_name ,
41
+ sum(netpaid) paid
42
+ FROM ssales
43
+ WHERE i_color = 'orchid'
44
+ GROUP BY c_last_name ,
45
+ c_first_name ,
46
+ s_store_name
47
+ HAVING sum(netpaid) >
48
+ (SELECT 0.05*avg(netpaid)
49
+ FROM ssales)
50
+ ORDER BY c_last_name ,
51
+ c_first_name ,
52
+ s_store_name ;
53
+
54
+ WITH ssales AS
55
+ (SELECT c_last_name ,
56
+ c_first_name ,
57
+ s_store_name ,
58
+ ca_state ,
59
+ s_state ,
60
+ i_color ,
61
+ i_current_price ,
62
+ i_manager_id ,
63
+ i_units ,
64
+ i_size ,
65
+ sum(ss_sales_price) netpaid
66
+ FROM store_sales ,
67
+ store_returns ,
68
+ store ,
69
+ item ,
70
+ customer ,
71
+ customer_address
72
+ WHERE ss_ticket_number = sr_ticket_number
73
+ AND ss_item_sk = sr_item_sk
74
+ AND ss_customer_sk = c_customer_sk
75
+ AND ss_item_sk = i_item_sk
76
+ AND ss_store_sk = s_store_sk
77
+ AND c_current_addr_sk = ca_address_sk
78
+ AND c_birth_country <> upper(ca_country)
79
+ AND s_zip = ca_zip
80
+ AND s_market_id = 7
81
+ GROUP BY c_last_name ,
82
+ c_first_name ,
83
+ s_store_name ,
84
+ ca_state ,
85
+ s_state ,
86
+ i_color ,
87
+ i_current_price ,
88
+ i_manager_id ,
89
+ i_units ,
90
+ i_size)
91
+ SELECT c_last_name ,
92
+ c_first_name ,
93
+ s_store_name ,
94
+ sum(netpaid) paid
95
+ FROM ssales
96
+ WHERE i_color = 'chiffon'
97
+ GROUP BY c_last_name ,
98
+ c_first_name ,
99
+ s_store_name
100
+ HAVING sum(netpaid) >
101
+ (SELECT 0.05*avg(netpaid)
102
+ FROM ssales)
103
+ ORDER BY c_last_name ,
104
+ c_first_name ,
105
+ s_store_name ;
TPC-DS/queries/query25.sql CHANGED
@@ -1,45 +1,40 @@
1
- select
2
- i_item_id
3
- ,i_item_desc
4
- ,s_store_id
5
- ,s_store_name
6
- ,sum(ss_net_profit) as store_sales_profit
7
- ,sum(sr_net_loss) as store_returns_loss
8
- ,sum(cs_net_profit) as catalog_sales_profit
9
- from
10
- store_sales
11
- ,store_returns
12
- ,catalog_sales
13
- ,date_dim d1
14
- ,date_dim d2
15
- ,date_dim d3
16
- ,store
17
- ,item
18
- where
19
- d1.d_moy = 4
20
- and d1.d_year = 2000
21
- and d1.d_date_sk = ss_sold_date_sk
22
- and i_item_sk = ss_item_sk
23
- and s_store_sk = ss_store_sk
24
- and ss_customer_sk = sr_customer_sk
25
- and ss_item_sk = sr_item_sk
26
- and ss_ticket_number = sr_ticket_number
27
- and sr_returned_date_sk = d2.d_date_sk
28
- and d2.d_moy between 4 and 10
29
- and d2.d_year = 2000
30
- and sr_customer_sk = cs_bill_customer_sk
31
- and sr_item_sk = cs_item_sk
32
- and cs_sold_date_sk = d3.d_date_sk
33
- and d3.d_moy between 4 and 10
34
- and d3.d_year = 2000
35
- group by
36
- i_item_id
37
- ,i_item_desc
38
- ,s_store_id
39
- ,s_store_name
40
- order by
41
- i_item_id
42
- ,i_item_desc
43
- ,s_store_id
44
- ,s_store_name
45
- limit 100;
 
1
+ SELECT i_item_id ,
2
+ i_item_desc ,
3
+ s_store_id ,
4
+ s_store_name ,
5
+ sum(ss_net_profit) AS store_sales_profit ,
6
+ sum(sr_net_loss) AS store_returns_loss ,
7
+ sum(cs_net_profit) AS catalog_sales_profit
8
+ FROM store_sales ,
9
+ store_returns ,
10
+ catalog_sales ,
11
+ date_dim d1 ,
12
+ date_dim d2 ,
13
+ date_dim d3 ,
14
+ store ,
15
+ item
16
+ WHERE d1.d_moy = 4
17
+ AND d1.d_year = 2000
18
+ AND d1.d_date_sk = ss_sold_date_sk
19
+ AND i_item_sk = ss_item_sk
20
+ AND s_store_sk = ss_store_sk
21
+ AND ss_customer_sk = sr_customer_sk
22
+ AND ss_item_sk = sr_item_sk
23
+ AND ss_ticket_number = sr_ticket_number
24
+ AND sr_returned_date_sk = d2.d_date_sk
25
+ AND d2.d_moy BETWEEN 4 AND 10
26
+ AND d2.d_year = 2000
27
+ AND sr_customer_sk = cs_bill_customer_sk
28
+ AND sr_item_sk = cs_item_sk
29
+ AND cs_sold_date_sk = d3.d_date_sk
30
+ AND d3.d_moy BETWEEN 4 AND 10
31
+ AND d3.d_year = 2000
32
+ GROUP BY i_item_id ,
33
+ i_item_desc ,
34
+ s_store_id ,
35
+ s_store_name
36
+ ORDER BY i_item_id ,
37
+ i_item_desc ,
38
+ s_store_id ,
39
+ s_store_name
40
+ LIMIT 100;
 
 
 
 
 
TPC-DS/queries/query26.sql CHANGED
@@ -1,18 +1,23 @@
1
- select i_item_id,
2
- avg(cs_quantity) agg1,
3
- avg(cs_list_price) agg2,
4
- avg(cs_coupon_amt) agg3,
5
- avg(cs_sales_price) agg4
6
- from catalog_sales, customer_demographics, date_dim, item, promotion
7
- where cs_sold_date_sk = d_date_sk and
8
- cs_item_sk = i_item_sk and
9
- cs_bill_cdemo_sk = cd_demo_sk and
10
- cs_promo_sk = p_promo_sk and
11
- cd_gender = 'F' and
12
- cd_marital_status = 'W' and
13
- cd_education_status = 'Primary' and
14
- (p_channel_email = 'N' or p_channel_event = 'N') and
15
- d_year = 1998
16
- group by i_item_id
17
- order by i_item_id
18
- limit 100;
 
 
 
 
 
 
1
+ SELECT i_item_id,
2
+ avg(cs_quantity) agg1,
3
+ avg(cs_list_price) agg2,
4
+ avg(cs_coupon_amt) agg3,
5
+ avg(cs_sales_price) agg4
6
+ FROM catalog_sales,
7
+ customer_demographics,
8
+ date_dim,
9
+ item,
10
+ promotion
11
+ WHERE cs_sold_date_sk = d_date_sk
12
+ AND cs_item_sk = i_item_sk
13
+ AND cs_bill_cdemo_sk = cd_demo_sk
14
+ AND cs_promo_sk = p_promo_sk
15
+ AND cd_gender = 'F'
16
+ AND cd_marital_status = 'W'
17
+ AND cd_education_status = 'Primary'
18
+ AND (p_channel_email = 'N'
19
+ OR p_channel_event = 'N')
20
+ AND d_year = 1998
21
+ GROUP BY i_item_id
22
+ ORDER BY i_item_id
23
+ LIMIT 100;
TPC-DS/queries/query27.sql CHANGED
@@ -1,20 +1,31 @@
1
- select i_item_id,
2
- s_state, grouping(s_state) g_state,
3
- avg(ss_quantity) agg1,
4
- avg(ss_list_price) agg2,
5
- avg(ss_coupon_amt) agg3,
6
- avg(ss_sales_price) agg4
7
- from store_sales, customer_demographics, date_dim, store, item
8
- where ss_sold_date_sk = d_date_sk and
9
- ss_item_sk = i_item_sk and
10
- ss_store_sk = s_store_sk and
11
- ss_cdemo_sk = cd_demo_sk and
12
- cd_gender = 'F' and
13
- cd_marital_status = 'W' and
14
- cd_education_status = 'Primary' and
15
- d_year = 1998 and
16
- s_state in ('TN','TN', 'TN', 'TN', 'TN', 'TN')
17
- group by rollup (i_item_id, s_state)
18
- order by i_item_id
19
- ,s_state
20
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT i_item_id,
2
+ s_state,
3
+ grouping(s_state) g_state,
4
+ avg(ss_quantity) agg1,
5
+ avg(ss_list_price) agg2,
6
+ avg(ss_coupon_amt) agg3,
7
+ avg(ss_sales_price) agg4
8
+ FROM store_sales,
9
+ customer_demographics,
10
+ date_dim,
11
+ store,
12
+ item
13
+ WHERE ss_sold_date_sk = d_date_sk
14
+ AND ss_item_sk = i_item_sk
15
+ AND ss_store_sk = s_store_sk
16
+ AND ss_cdemo_sk = cd_demo_sk
17
+ AND cd_gender = 'F'
18
+ AND cd_marital_status = 'W'
19
+ AND cd_education_status = 'Primary'
20
+ AND d_year = 1998
21
+ AND s_state IN ('TN',
22
+ 'TN',
23
+ 'TN',
24
+ 'TN',
25
+ 'TN',
26
+ 'TN')
27
+ GROUP BY ROLLUP (i_item_id,
28
+ s_state)
29
+ ORDER BY i_item_id ,
30
+ s_state
31
+ LIMIT 100;
TPC-DS/queries/query28.sql CHANGED
@@ -1,50 +1,56 @@
1
- select *
2
- from (select avg(ss_list_price) B1_LP
3
- ,count(ss_list_price) B1_CNT
4
- ,count(distinct ss_list_price) B1_CNTD
5
- from store_sales
6
- where ss_quantity between 0 and 5
7
- and (ss_list_price between 11 and 11+10
8
- or ss_coupon_amt between 460 and 460+1000
9
- or ss_wholesale_cost between 14 and 14+20)) B1,
10
- (select avg(ss_list_price) B2_LP
11
- ,count(ss_list_price) B2_CNT
12
- ,count(distinct ss_list_price) B2_CNTD
13
- from store_sales
14
- where ss_quantity between 6 and 10
15
- and (ss_list_price between 91 and 91+10
16
- or ss_coupon_amt between 1430 and 1430+1000
17
- or ss_wholesale_cost between 32 and 32+20)) B2,
18
- (select avg(ss_list_price) B3_LP
19
- ,count(ss_list_price) B3_CNT
20
- ,count(distinct ss_list_price) B3_CNTD
21
- from store_sales
22
- where ss_quantity between 11 and 15
23
- and (ss_list_price between 66 and 66+10
24
- or ss_coupon_amt between 920 and 920+1000
25
- or ss_wholesale_cost between 4 and 4+20)) B3,
26
- (select avg(ss_list_price) B4_LP
27
- ,count(ss_list_price) B4_CNT
28
- ,count(distinct ss_list_price) B4_CNTD
29
- from store_sales
30
- where ss_quantity between 16 and 20
31
- and (ss_list_price between 142 and 142+10
32
- or ss_coupon_amt between 3054 and 3054+1000
33
- or ss_wholesale_cost between 80 and 80+20)) B4,
34
- (select avg(ss_list_price) B5_LP
35
- ,count(ss_list_price) B5_CNT
36
- ,count(distinct ss_list_price) B5_CNTD
37
- from store_sales
38
- where ss_quantity between 21 and 25
39
- and (ss_list_price between 135 and 135+10
40
- or ss_coupon_amt between 14180 and 14180+1000
41
- or ss_wholesale_cost between 38 and 38+20)) B5,
42
- (select avg(ss_list_price) B6_LP
43
- ,count(ss_list_price) B6_CNT
44
- ,count(distinct ss_list_price) B6_CNTD
45
- from store_sales
46
- where ss_quantity between 26 and 30
47
- and (ss_list_price between 28 and 28+10
48
- or ss_coupon_amt between 2513 and 2513+1000
49
- or ss_wholesale_cost between 42 and 42+20)) B6
50
- limit 100;
 
 
 
 
 
 
 
1
+ SELECT *
2
+ FROM
3
+ (SELECT avg(ss_list_price) B1_LP ,
4
+ count(ss_list_price) B1_CNT ,
5
+ count(DISTINCT ss_list_price) B1_CNTD
6
+ FROM store_sales
7
+ WHERE ss_quantity BETWEEN 0 AND 5
8
+ AND (ss_list_price BETWEEN 11 AND 11+10
9
+ OR ss_coupon_amt BETWEEN 460 AND 460+1000
10
+ OR ss_wholesale_cost BETWEEN 14 AND 14+20)) B1,
11
+
12
+ (SELECT avg(ss_list_price) B2_LP ,
13
+ count(ss_list_price) B2_CNT ,
14
+ count(DISTINCT ss_list_price) B2_CNTD
15
+ FROM store_sales
16
+ WHERE ss_quantity BETWEEN 6 AND 10
17
+ AND (ss_list_price BETWEEN 91 AND 91+10
18
+ OR ss_coupon_amt BETWEEN 1430 AND 1430+1000
19
+ OR ss_wholesale_cost BETWEEN 32 AND 32+20)) B2,
20
+
21
+ (SELECT avg(ss_list_price) B3_LP ,
22
+ count(ss_list_price) B3_CNT ,
23
+ count(DISTINCT ss_list_price) B3_CNTD
24
+ FROM store_sales
25
+ WHERE ss_quantity BETWEEN 11 AND 15
26
+ AND (ss_list_price BETWEEN 66 AND 66+10
27
+ OR ss_coupon_amt BETWEEN 920 AND 920+1000
28
+ OR ss_wholesale_cost BETWEEN 4 AND 4+20)) B3,
29
+
30
+ (SELECT avg(ss_list_price) B4_LP ,
31
+ count(ss_list_price) B4_CNT ,
32
+ count(DISTINCT ss_list_price) B4_CNTD
33
+ FROM store_sales
34
+ WHERE ss_quantity BETWEEN 16 AND 20
35
+ AND (ss_list_price BETWEEN 142 AND 142+10
36
+ OR ss_coupon_amt BETWEEN 3054 AND 3054+1000
37
+ OR ss_wholesale_cost BETWEEN 80 AND 80+20)) B4,
38
+
39
+ (SELECT avg(ss_list_price) B5_LP ,
40
+ count(ss_list_price) B5_CNT ,
41
+ count(DISTINCT ss_list_price) B5_CNTD
42
+ FROM store_sales
43
+ WHERE ss_quantity BETWEEN 21 AND 25
44
+ AND (ss_list_price BETWEEN 135 AND 135+10
45
+ OR ss_coupon_amt BETWEEN 14180 AND 14180+1000
46
+ OR ss_wholesale_cost BETWEEN 38 AND 38+20)) B5,
47
+
48
+ (SELECT avg(ss_list_price) B6_LP ,
49
+ count(ss_list_price) B6_CNT ,
50
+ count(DISTINCT ss_list_price) B6_CNTD
51
+ FROM store_sales
52
+ WHERE ss_quantity BETWEEN 26 AND 30
53
+ AND (ss_list_price BETWEEN 28 AND 28+10
54
+ OR ss_coupon_amt BETWEEN 2513 AND 2513+1000
55
+ OR ss_wholesale_cost BETWEEN 42 AND 42+20)) B6
56
+ LIMIT 100;
TPC-DS/queries/query29.sql CHANGED
@@ -1,44 +1,41 @@
1
- select
2
- i_item_id
3
- ,i_item_desc
4
- ,s_store_id
5
- ,s_store_name
6
- ,sum(ss_quantity) as store_sales_quantity
7
- ,sum(sr_return_quantity) as store_returns_quantity
8
- ,sum(cs_quantity) as catalog_sales_quantity
9
- from
10
- store_sales
11
- ,store_returns
12
- ,catalog_sales
13
- ,date_dim d1
14
- ,date_dim d2
15
- ,date_dim d3
16
- ,store
17
- ,item
18
- where
19
- d1.d_moy = 4
20
- and d1.d_year = 1999
21
- and d1.d_date_sk = ss_sold_date_sk
22
- and i_item_sk = ss_item_sk
23
- and s_store_sk = ss_store_sk
24
- and ss_customer_sk = sr_customer_sk
25
- and ss_item_sk = sr_item_sk
26
- and ss_ticket_number = sr_ticket_number
27
- and sr_returned_date_sk = d2.d_date_sk
28
- and d2.d_moy between 4 and 4 + 3
29
- and d2.d_year = 1999
30
- and sr_customer_sk = cs_bill_customer_sk
31
- and sr_item_sk = cs_item_sk
32
- and cs_sold_date_sk = d3.d_date_sk
33
- and d3.d_year in (1999,1999+1,1999+2)
34
- group by
35
- i_item_id
36
- ,i_item_desc
37
- ,s_store_id
38
- ,s_store_name
39
- order by
40
- i_item_id
41
- ,i_item_desc
42
- ,s_store_id
43
- ,s_store_name
44
- limit 100;
 
1
+ SELECT i_item_id ,
2
+ i_item_desc ,
3
+ s_store_id ,
4
+ s_store_name ,
5
+ sum(ss_quantity) AS store_sales_quantity ,
6
+ sum(sr_return_quantity) AS store_returns_quantity ,
7
+ sum(cs_quantity) AS catalog_sales_quantity
8
+ FROM store_sales ,
9
+ store_returns ,
10
+ catalog_sales ,
11
+ date_dim d1 ,
12
+ date_dim d2 ,
13
+ date_dim d3 ,
14
+ store ,
15
+ item
16
+ WHERE d1.d_moy = 4
17
+ AND d1.d_year = 1999
18
+ AND d1.d_date_sk = ss_sold_date_sk
19
+ AND i_item_sk = ss_item_sk
20
+ AND s_store_sk = ss_store_sk
21
+ AND ss_customer_sk = sr_customer_sk
22
+ AND ss_item_sk = sr_item_sk
23
+ AND ss_ticket_number = sr_ticket_number
24
+ AND sr_returned_date_sk = d2.d_date_sk
25
+ AND d2.d_moy BETWEEN 4 AND 4 + 3
26
+ AND d2.d_year = 1999
27
+ AND sr_customer_sk = cs_bill_customer_sk
28
+ AND sr_item_sk = cs_item_sk
29
+ AND cs_sold_date_sk = d3.d_date_sk
30
+ AND d3.d_year IN (1999,
31
+ 1999+1,
32
+ 1999+2)
33
+ GROUP BY i_item_id ,
34
+ i_item_desc ,
35
+ s_store_id ,
36
+ s_store_name
37
+ ORDER BY i_item_id ,
38
+ i_item_desc ,
39
+ s_store_id ,
40
+ s_store_name
41
+ LIMIT 100;
 
 
 
TPC-DS/queries/query3.sql CHANGED
@@ -1,18 +1,18 @@
1
- select dt.d_year
2
- ,item.i_brand_id brand_id
3
- ,item.i_brand brand
4
- ,sum(ss_ext_sales_price) sum_agg
5
- from date_dim dt
6
- ,store_sales
7
- ,item
8
- where dt.d_date_sk = store_sales.ss_sold_date_sk
9
- and store_sales.ss_item_sk = item.i_item_sk
10
- and item.i_manufact_id = 436
11
- and dt.d_moy=12
12
- group by dt.d_year
13
- ,item.i_brand
14
- ,item.i_brand_id
15
- order by dt.d_year
16
- ,sum_agg desc
17
- ,brand_id
18
- limit 100;
 
1
+ SELECT dt.d_year ,
2
+ item.i_brand_id brand_id ,
3
+ item.i_brand brand ,
4
+ sum(ss_ext_sales_price) sum_agg
5
+ FROM date_dim dt ,
6
+ store_sales ,
7
+ item
8
+ WHERE dt.d_date_sk = store_sales.ss_sold_date_sk
9
+ AND store_sales.ss_item_sk = item.i_item_sk
10
+ AND item.i_manufact_id = 436
11
+ AND dt.d_moy=12
12
+ GROUP BY dt.d_year ,
13
+ item.i_brand ,
14
+ item.i_brand_id
15
+ ORDER BY dt.d_year ,
16
+ sum_agg DESC ,
17
+ brand_id
18
+ LIMIT 100;
TPC-DS/queries/query30.sql CHANGED
@@ -1,28 +1,49 @@
1
- with customer_total_return as
2
- (select wr_returning_customer_sk as ctr_customer_sk
3
- ,ca_state as ctr_state,
4
- sum(wr_return_amt) as ctr_total_return
5
- from web_returns
6
- ,date_dim
7
- ,customer_address
8
- where wr_returned_date_sk = d_date_sk
9
- and d_year =2002
10
- and wr_returning_addr_sk = ca_address_sk
11
- group by wr_returning_customer_sk
12
- ,ca_state)
13
- select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
14
- ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
15
- ,c_last_review_date_sk,ctr_total_return
16
- from customer_total_return ctr1
17
- ,customer_address
18
- ,customer
19
- where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
20
- from customer_total_return ctr2
21
- where ctr1.ctr_state = ctr2.ctr_state)
22
- and ca_address_sk = c_current_addr_sk
23
- and ca_state = 'IL'
24
- and ctr1.ctr_customer_sk = c_customer_sk
25
- order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
26
- ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
27
- ,c_last_review_date_sk,ctr_total_return
28
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ WITH customer_total_return AS
2
+ (SELECT wr_returning_customer_sk AS ctr_customer_sk ,
3
+ ca_state AS ctr_state,
4
+ sum(wr_return_amt) AS ctr_total_return
5
+ FROM web_returns ,
6
+ date_dim ,
7
+ customer_address
8
+ WHERE wr_returned_date_sk = d_date_sk
9
+ AND d_year =2002
10
+ AND wr_returning_addr_sk = ca_address_sk
11
+ GROUP BY wr_returning_customer_sk ,
12
+ ca_state)
13
+ SELECT c_customer_id,
14
+ c_salutation,
15
+ c_first_name,
16
+ c_last_name,
17
+ c_preferred_cust_flag ,
18
+ c_birth_day,
19
+ c_birth_month,
20
+ c_birth_year,
21
+ c_birth_country,
22
+ c_login,
23
+ c_email_address ,
24
+ c_last_review_date_sk,
25
+ ctr_total_return
26
+ FROM customer_total_return ctr1 ,
27
+ customer_address ,
28
+ customer
29
+ WHERE ctr1.ctr_total_return >
30
+ (SELECT avg(ctr_total_return)*1.2
31
+ FROM customer_total_return ctr2
32
+ WHERE ctr1.ctr_state = ctr2.ctr_state)
33
+ AND ca_address_sk = c_current_addr_sk
34
+ AND ca_state = 'IL'
35
+ AND ctr1.ctr_customer_sk = c_customer_sk
36
+ ORDER BY c_customer_id,
37
+ c_salutation,
38
+ c_first_name,
39
+ c_last_name,
40
+ c_preferred_cust_flag ,
41
+ c_birth_day,
42
+ c_birth_month,
43
+ c_birth_year,
44
+ c_birth_country,
45
+ c_login,
46
+ c_email_address ,
47
+ c_last_review_date_sk,
48
+ ctr_total_return
49
+ LIMIT 100;
TPC-DS/queries/query31.sql CHANGED
@@ -1,49 +1,70 @@
1
- with ss as
2
- (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
3
- from store_sales,date_dim,customer_address
4
- where ss_sold_date_sk = d_date_sk
5
- and ss_addr_sk=ca_address_sk
6
- group by ca_county,d_qoy, d_year),
7
- ws as
8
- (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales
9
- from web_sales,date_dim,customer_address
10
- where ws_sold_date_sk = d_date_sk
11
- and ws_bill_addr_sk=ca_address_sk
12
- group by ca_county,d_qoy, d_year)
13
- select
14
- ss1.ca_county
15
- ,ss1.d_year
16
- ,ws2.web_sales/ws1.web_sales web_q1_q2_increase
17
- ,ss2.store_sales/ss1.store_sales store_q1_q2_increase
18
- ,ws3.web_sales/ws2.web_sales web_q2_q3_increase
19
- ,ss3.store_sales/ss2.store_sales store_q2_q3_increase
20
- from
21
- ss ss1
22
- ,ss ss2
23
- ,ss ss3
24
- ,ws ws1
25
- ,ws ws2
26
- ,ws ws3
27
- where
28
- ss1.d_qoy = 1
29
- and ss1.d_year = 2000
30
- and ss1.ca_county = ss2.ca_county
31
- and ss2.d_qoy = 2
32
- and ss2.d_year = 2000
33
- and ss2.ca_county = ss3.ca_county
34
- and ss3.d_qoy = 3
35
- and ss3.d_year = 2000
36
- and ss1.ca_county = ws1.ca_county
37
- and ws1.d_qoy = 1
38
- and ws1.d_year = 2000
39
- and ws1.ca_county = ws2.ca_county
40
- and ws2.d_qoy = 2
41
- and ws2.d_year = 2000
42
- and ws1.ca_county = ws3.ca_county
43
- and ws3.d_qoy = 3
44
- and ws3.d_year =2000
45
- and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end
46
- > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end
47
- and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end
48
- > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
49
- order by ss1.d_year;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ WITH ss AS
2
+ (SELECT ca_county,
3
+ d_qoy,
4
+ d_year,
5
+ sum(ss_ext_sales_price) AS store_sales
6
+ FROM store_sales,
7
+ date_dim,
8
+ customer_address
9
+ WHERE ss_sold_date_sk = d_date_sk
10
+ AND ss_addr_sk=ca_address_sk
11
+ GROUP BY ca_county,
12
+ d_qoy,
13
+ d_year),
14
+ ws AS
15
+ (SELECT ca_county,
16
+ d_qoy,
17
+ d_year,
18
+ sum(ws_ext_sales_price) AS web_sales
19
+ FROM web_sales,
20
+ date_dim,
21
+ customer_address
22
+ WHERE ws_sold_date_sk = d_date_sk
23
+ AND ws_bill_addr_sk=ca_address_sk
24
+ GROUP BY ca_county,
25
+ d_qoy,
26
+ d_year)
27
+ SELECT ss1.ca_county ,
28
+ ss1.d_year ,
29
+ ws2.web_sales/ws1.web_sales web_q1_q2_increase ,
30
+ ss2.store_sales/ss1.store_sales store_q1_q2_increase ,
31
+ ws3.web_sales/ws2.web_sales web_q2_q3_increase ,
32
+ ss3.store_sales/ss2.store_sales store_q2_q3_increase
33
+ FROM ss ss1 ,
34
+ ss ss2 ,
35
+ ss ss3 ,
36
+ ws ws1 ,
37
+ ws ws2 ,
38
+ ws ws3
39
+ WHERE ss1.d_qoy = 1
40
+ AND ss1.d_year = 2000
41
+ AND ss1.ca_county = ss2.ca_county
42
+ AND ss2.d_qoy = 2
43
+ AND ss2.d_year = 2000
44
+ AND ss2.ca_county = ss3.ca_county
45
+ AND ss3.d_qoy = 3
46
+ AND ss3.d_year = 2000
47
+ AND ss1.ca_county = ws1.ca_county
48
+ AND ws1.d_qoy = 1
49
+ AND ws1.d_year = 2000
50
+ AND ws1.ca_county = ws2.ca_county
51
+ AND ws2.d_qoy = 2
52
+ AND ws2.d_year = 2000
53
+ AND ws1.ca_county = ws3.ca_county
54
+ AND ws3.d_qoy = 3
55
+ AND ws3.d_year =2000
56
+ AND CASE
57
+ WHEN ws1.web_sales > 0 THEN ws2.web_sales/ws1.web_sales
58
+ ELSE NULL
59
+ END > CASE
60
+ WHEN ss1.store_sales > 0 THEN ss2.store_sales/ss1.store_sales
61
+ ELSE NULL
62
+ END
63
+ AND CASE
64
+ WHEN ws2.web_sales > 0 THEN ws3.web_sales/ws2.web_sales
65
+ ELSE NULL
66
+ END > CASE
67
+ WHEN ss2.store_sales > 0 THEN ss3.store_sales/ss2.store_sales
68
+ ELSE NULL
69
+ END
70
+ ORDER BY ss1.d_year;
TPC-DS/queries/query32.sql CHANGED
@@ -1,25 +1,16 @@
1
- select sum(cs_ext_discount_amt) as "excess discount amount"
2
- from
3
- catalog_sales
4
- ,item
5
- ,date_dim
6
- where
7
- i_manufact_id = 269
8
- and i_item_sk = cs_item_sk
9
- and d_date between '1998-03-18' and
10
- (cast('1998-03-18' as date) + 90 days)
11
- and d_date_sk = cs_sold_date_sk
12
- and cs_ext_discount_amt
13
- > (
14
- select
15
- 1.3 * avg(cs_ext_discount_amt)
16
- from
17
- catalog_sales
18
- ,date_dim
19
- where
20
- cs_item_sk = i_item_sk
21
- and d_date between '1998-03-18' and
22
- (cast('1998-03-18' as date) + 90 days)
23
- and d_date_sk = cs_sold_date_sk
24
- )
25
- limit 100;
 
1
+ SELECT sum(cs_ext_discount_amt) AS "excess discount amount"
2
+ FROM catalog_sales ,
3
+ item ,
4
+ date_dim
5
+ WHERE i_manufact_id = 269
6
+ AND i_item_sk = cs_item_sk
7
+ AND d_date BETWEEN '1998-03-18' AND (cast('1998-03-18' AS date) + 90 days)
8
+ AND d_date_sk = cs_sold_date_sk
9
+ AND cs_ext_discount_amt >
10
+ (SELECT 1.3 * avg(cs_ext_discount_amt)
11
+ FROM catalog_sales ,
12
+ date_dim
13
+ WHERE cs_item_sk = i_item_sk
14
+ AND d_date BETWEEN '1998-03-18' AND (cast('1998-03-18' AS date) + 90 days)
15
+ AND d_date_sk = cs_sold_date_sk)
16
+ LIMIT 100;
 
 
 
 
 
 
 
 
 
TPC-DS/queries/query33.sql CHANGED
@@ -1,72 +1,66 @@
1
- with ss as (
2
- select
3
- i_manufact_id,sum(ss_ext_sales_price) total_sales
4
- from
5
- store_sales,
6
- date_dim,
7
- customer_address,
8
- item
9
- where
10
- i_manufact_id in (select
11
- i_manufact_id
12
- from
13
- item
14
- where i_category in ('Books'))
15
- and ss_item_sk = i_item_sk
16
- and ss_sold_date_sk = d_date_sk
17
- and d_year = 1999
18
- and d_moy = 3
19
- and ss_addr_sk = ca_address_sk
20
- and ca_gmt_offset = -5
21
- group by i_manufact_id),
22
- cs as (
23
- select
24
- i_manufact_id,sum(cs_ext_sales_price) total_sales
25
- from
26
- catalog_sales,
27
- date_dim,
28
- customer_address,
29
- item
30
- where
31
- i_manufact_id in (select
32
- i_manufact_id
33
- from
34
- item
35
- where i_category in ('Books'))
36
- and cs_item_sk = i_item_sk
37
- and cs_sold_date_sk = d_date_sk
38
- and d_year = 1999
39
- and d_moy = 3
40
- and cs_bill_addr_sk = ca_address_sk
41
- and ca_gmt_offset = -5
42
- group by i_manufact_id),
43
- ws as (
44
- select
45
- i_manufact_id,sum(ws_ext_sales_price) total_sales
46
- from
47
- web_sales,
48
- date_dim,
49
- customer_address,
50
- item
51
- where
52
- i_manufact_id in (select
53
- i_manufact_id
54
- from
55
- item
56
- where i_category in ('Books'))
57
- and ws_item_sk = i_item_sk
58
- and ws_sold_date_sk = d_date_sk
59
- and d_year = 1999
60
- and d_moy = 3
61
- and ws_bill_addr_sk = ca_address_sk
62
- and ca_gmt_offset = -5
63
- group by i_manufact_id)
64
- select i_manufact_id ,sum(total_sales) total_sales
65
- from (select * from ss
66
- union all
67
- select * from cs
68
- union all
69
- select * from ws) tmp1
70
- group by i_manufact_id
71
- order by total_sales
72
- limit 100;
 
1
+ WITH ss AS
2
+ (SELECT i_manufact_id,
3
+ sum(ss_ext_sales_price) total_sales
4
+ FROM store_sales,
5
+ date_dim,
6
+ customer_address,
7
+ item
8
+ WHERE i_manufact_id IN
9
+ (SELECT i_manufact_id
10
+ FROM item
11
+ WHERE i_category IN ('Books'))
12
+ AND ss_item_sk = i_item_sk
13
+ AND ss_sold_date_sk = d_date_sk
14
+ AND d_year = 1999
15
+ AND d_moy = 3
16
+ AND ss_addr_sk = ca_address_sk
17
+ AND ca_gmt_offset = -5
18
+ GROUP BY i_manufact_id),
19
+ cs AS
20
+ (SELECT i_manufact_id,
21
+ sum(cs_ext_sales_price) total_sales
22
+ FROM catalog_sales,
23
+ date_dim,
24
+ customer_address,
25
+ item
26
+ WHERE i_manufact_id IN
27
+ (SELECT i_manufact_id
28
+ FROM item
29
+ WHERE i_category IN ('Books'))
30
+ AND cs_item_sk = i_item_sk
31
+ AND cs_sold_date_sk = d_date_sk
32
+ AND d_year = 1999
33
+ AND d_moy = 3
34
+ AND cs_bill_addr_sk = ca_address_sk
35
+ AND ca_gmt_offset = -5
36
+ GROUP BY i_manufact_id),
37
+ ws AS
38
+ (SELECT i_manufact_id,
39
+ sum(ws_ext_sales_price) total_sales
40
+ FROM web_sales,
41
+ date_dim,
42
+ customer_address,
43
+ item
44
+ WHERE i_manufact_id IN
45
+ (SELECT i_manufact_id
46
+ FROM item
47
+ WHERE i_category IN ('Books'))
48
+ AND ws_item_sk = i_item_sk
49
+ AND ws_sold_date_sk = d_date_sk
50
+ AND d_year = 1999
51
+ AND d_moy = 3
52
+ AND ws_bill_addr_sk = ca_address_sk
53
+ AND ca_gmt_offset = -5
54
+ GROUP BY i_manufact_id)
55
+ SELECT i_manufact_id,
56
+ sum(total_sales) total_sales
57
+ FROM
58
+ (SELECT *
59
+ FROM ss
60
+ UNION ALL SELECT *
61
+ FROM cs
62
+ UNION ALL SELECT *
63
+ FROM ws) tmp1
64
+ GROUP BY i_manufact_id
65
+ ORDER BY total_sales
66
+ LIMIT 100;
 
 
 
 
 
 
TPC-DS/queries/query34.sql CHANGED
@@ -1,28 +1,47 @@
1
- select c_last_name
2
- ,c_first_name
3
- ,c_salutation
4
- ,c_preferred_cust_flag
5
- ,ss_ticket_number
6
- ,cnt from
7
- (select ss_ticket_number
8
- ,ss_customer_sk
9
- ,count(*) cnt
10
- from store_sales,date_dim,store,household_demographics
11
- where store_sales.ss_sold_date_sk = date_dim.d_date_sk
12
- and store_sales.ss_store_sk = store.s_store_sk
13
- and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
14
- and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28)
15
- and (household_demographics.hd_buy_potential = '>10000' or
16
- household_demographics.hd_buy_potential = 'Unknown')
17
- and household_demographics.hd_vehicle_count > 0
18
- and (case when household_demographics.hd_vehicle_count > 0
19
- then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count
20
- else null
21
- end) > 1.2
22
- and date_dim.d_year in (1998,1998+1,1998+2)
23
- and store.s_county in ('Williamson County','Williamson County','Williamson County','Williamson County',
24
- 'Williamson County','Williamson County','Williamson County','Williamson County')
25
- group by ss_ticket_number,ss_customer_sk) dn,customer
26
- where ss_customer_sk = c_customer_sk
27
- and cnt between 15 and 20
28
- order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc, ss_ticket_number;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT c_last_name ,
2
+ c_first_name ,
3
+ c_salutation ,
4
+ c_preferred_cust_flag ,
5
+ ss_ticket_number ,
6
+ cnt
7
+ FROM
8
+ (SELECT ss_ticket_number ,
9
+ ss_customer_sk ,
10
+ count(*) cnt
11
+ FROM store_sales,
12
+ date_dim,
13
+ store,
14
+ household_demographics
15
+ WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
16
+ AND store_sales.ss_store_sk = store.s_store_sk
17
+ AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
18
+ AND (date_dim.d_dom BETWEEN 1 AND 3
19
+ OR date_dim.d_dom BETWEEN 25 AND 28)
20
+ AND (household_demographics.hd_buy_potential = '>10000'
21
+ OR household_demographics.hd_buy_potential = 'Unknown')
22
+ AND household_demographics.hd_vehicle_count > 0
23
+ AND (CASE
24
+ WHEN household_demographics.hd_vehicle_count > 0 THEN household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count
25
+ ELSE NULL
26
+ END) > 1.2
27
+ AND date_dim.d_year IN (1998,
28
+ 1998+1,
29
+ 1998+2)
30
+ AND store.s_county IN ('Williamson County',
31
+ 'Williamson County',
32
+ 'Williamson County',
33
+ 'Williamson County',
34
+ 'Williamson County',
35
+ 'Williamson County',
36
+ 'Williamson County',
37
+ 'Williamson County')
38
+ GROUP BY ss_ticket_number,
39
+ ss_customer_sk) dn,
40
+ customer
41
+ WHERE ss_customer_sk = c_customer_sk
42
+ AND cnt BETWEEN 15 AND 20
43
+ ORDER BY c_last_name,
44
+ c_first_name,
45
+ c_salutation,
46
+ c_preferred_cust_flag DESC,
47
+ ss_ticket_number;
TPC-DS/queries/query35.sql CHANGED
@@ -1,55 +1,60 @@
1
- select
2
- ca_state,
3
- cd_gender,
4
- cd_marital_status,
5
- cd_dep_count,
6
- count(*) cnt1,
7
- avg(cd_dep_count),
8
- max(cd_dep_count),
9
- sum(cd_dep_count),
10
- cd_dep_employed_count,
11
- count(*) cnt2,
12
- avg(cd_dep_employed_count),
13
- max(cd_dep_employed_count),
14
- sum(cd_dep_employed_count),
15
- cd_dep_college_count,
16
- count(*) cnt3,
17
- avg(cd_dep_college_count),
18
- max(cd_dep_college_count),
19
- sum(cd_dep_college_count)
20
- from
21
- customer c,customer_address ca,customer_demographics
22
- where
23
- c.c_current_addr_sk = ca.ca_address_sk and
24
- cd_demo_sk = c.c_current_cdemo_sk and
25
- exists (select *
26
- from store_sales,date_dim
27
- where c.c_customer_sk = ss_customer_sk and
28
- ss_sold_date_sk = d_date_sk and
29
- d_year = 1999 and
30
- d_qoy < 4) and
31
- (exists (select *
32
- from web_sales,date_dim
33
- where c.c_customer_sk = ws_bill_customer_sk and
34
- ws_sold_date_sk = d_date_sk and
35
- d_year = 1999 and
36
- d_qoy < 4) or
37
- exists (select *
38
- from catalog_sales,date_dim
39
- where c.c_customer_sk = cs_ship_customer_sk and
40
- cs_sold_date_sk = d_date_sk and
41
- d_year = 1999 and
42
- d_qoy < 4))
43
- group by ca_state,
44
- cd_gender,
45
- cd_marital_status,
46
- cd_dep_count,
47
- cd_dep_employed_count,
48
- cd_dep_college_count
49
- order by ca_state,
50
- cd_gender,
51
- cd_marital_status,
52
- cd_dep_count,
53
- cd_dep_employed_count,
54
- cd_dep_college_count
55
- limit 100;
 
 
 
 
 
 
1
+ SELECT ca_state,
2
+ cd_gender,
3
+ cd_marital_status,
4
+ cd_dep_count,
5
+ count(*) cnt1,
6
+ avg(cd_dep_count),
7
+ max(cd_dep_count),
8
+ sum(cd_dep_count),
9
+ cd_dep_employed_count,
10
+ count(*) cnt2,
11
+ avg(cd_dep_employed_count),
12
+ max(cd_dep_employed_count),
13
+ sum(cd_dep_employed_count),
14
+ cd_dep_college_count,
15
+ count(*) cnt3,
16
+ avg(cd_dep_college_count),
17
+ max(cd_dep_college_count),
18
+ sum(cd_dep_college_count)
19
+ FROM customer c,
20
+ customer_address ca,
21
+ customer_demographics
22
+ WHERE c.c_current_addr_sk = ca.ca_address_sk
23
+ AND cd_demo_sk = c.c_current_cdemo_sk
24
+ AND EXISTS
25
+ (SELECT *
26
+ FROM store_sales,
27
+ date_dim
28
+ WHERE c.c_customer_sk = ss_customer_sk
29
+ AND ss_sold_date_sk = d_date_sk
30
+ AND d_year = 1999
31
+ AND d_qoy < 4)
32
+ AND (EXISTS
33
+ (SELECT *
34
+ FROM web_sales,
35
+ date_dim
36
+ WHERE c.c_customer_sk = ws_bill_customer_sk
37
+ AND ws_sold_date_sk = d_date_sk
38
+ AND d_year = 1999
39
+ AND d_qoy < 4)
40
+ OR EXISTS
41
+ (SELECT *
42
+ FROM catalog_sales,
43
+ date_dim
44
+ WHERE c.c_customer_sk = cs_ship_customer_sk
45
+ AND cs_sold_date_sk = d_date_sk
46
+ AND d_year = 1999
47
+ AND d_qoy < 4))
48
+ GROUP BY ca_state,
49
+ cd_gender,
50
+ cd_marital_status,
51
+ cd_dep_count,
52
+ cd_dep_employed_count,
53
+ cd_dep_college_count
54
+ ORDER BY ca_state,
55
+ cd_gender,
56
+ cd_marital_status,
57
+ cd_dep_count,
58
+ cd_dep_employed_count,
59
+ cd_dep_college_count
60
+ LIMIT 100;
TPC-DS/queries/query36.sql CHANGED
@@ -1,27 +1,31 @@
1
- select
2
- sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
3
- ,i_category
4
- ,i_class
5
- ,grouping(i_category)+grouping(i_class) as lochierarchy
6
- ,rank() over (
7
- partition by grouping(i_category)+grouping(i_class),
8
- case when grouping(i_class) = 0 then i_category end
9
- order by sum(ss_net_profit)/sum(ss_ext_sales_price) asc) as rank_within_parent
10
- from
11
- store_sales
12
- ,date_dim d1
13
- ,item
14
- ,store
15
- where
16
- d1.d_year = 2000
17
- and d1.d_date_sk = ss_sold_date_sk
18
- and i_item_sk = ss_item_sk
19
- and s_store_sk = ss_store_sk
20
- and s_state in ('TN','TN','TN','TN',
21
- 'TN','TN','TN','TN')
22
- group by rollup(i_category,i_class)
23
- order by
24
- lochierarchy desc
25
- ,case when lochierarchy = 0 then i_category end
26
- ,rank_within_parent
27
- limit 100;
 
 
 
 
 
1
+ SELECT sum(ss_net_profit)/sum(ss_ext_sales_price) AS gross_margin ,
2
+ i_category ,
3
+ i_class ,
4
+ grouping(i_category)+grouping(i_class) AS lochierarchy ,
5
+ rank() OVER (PARTITION BY grouping(i_category)+grouping(i_class), CASE
6
+ WHEN grouping(i_class) = 0 THEN i_category
7
+ END
8
+ ORDER BY sum(ss_net_profit)/sum(ss_ext_sales_price) ASC) AS rank_within_parent
9
+ FROM store_sales ,
10
+ date_dim d1 ,
11
+ item ,
12
+ store
13
+ WHERE d1.d_year = 2000
14
+ AND d1.d_date_sk = ss_sold_date_sk
15
+ AND i_item_sk = ss_item_sk
16
+ AND s_store_sk = ss_store_sk
17
+ AND s_state IN ('TN',
18
+ 'TN',
19
+ 'TN',
20
+ 'TN',
21
+ 'TN',
22
+ 'TN',
23
+ 'TN',
24
+ 'TN')
25
+ GROUP BY rollup(i_category, i_class)
26
+ ORDER BY lochierarchy DESC ,
27
+ CASE
28
+ WHEN lochierarchy = 0 THEN i_category
29
+ END ,
30
+ rank_within_parent
31
+ LIMIT 100;
TPC-DS/queries/query37.sql CHANGED
@@ -1,14 +1,22 @@
1
- select i_item_id
2
- ,i_item_desc
3
- ,i_current_price
4
- from item, inventory, date_dim, catalog_sales
5
- where i_current_price between 22 and 22 + 30
6
- and inv_item_sk = i_item_sk
7
- and d_date_sk=inv_date_sk
8
- and d_date between cast('2001-06-02' as date) and (cast('2001-06-02' as date) + 60 days)
9
- and i_manufact_id in (678,964,918,849)
10
- and inv_quantity_on_hand between 100 and 500
11
- and cs_item_sk = i_item_sk
12
- group by i_item_id,i_item_desc,i_current_price
13
- order by i_item_id
14
- limit 100;
 
 
 
 
 
 
 
 
 
1
+ SELECT i_item_id ,
2
+ i_item_desc ,
3
+ i_current_price
4
+ FROM item,
5
+ inventory,
6
+ date_dim,
7
+ catalog_sales
8
+ WHERE i_current_price BETWEEN 22 AND 22 + 30
9
+ AND inv_item_sk = i_item_sk
10
+ AND d_date_sk=inv_date_sk
11
+ AND d_date BETWEEN cast('2001-06-02' AS date) AND (cast('2001-06-02' AS date) + 60 days)
12
+ AND i_manufact_id IN (678,
13
+ 964,
14
+ 918,
15
+ 849)
16
+ AND inv_quantity_on_hand BETWEEN 100 AND 500
17
+ AND cs_item_sk = i_item_sk
18
+ GROUP BY i_item_id,
19
+ i_item_desc,
20
+ i_current_price
21
+ ORDER BY i_item_id
22
+ LIMIT 100;
TPC-DS/queries/query38.sql CHANGED
@@ -1,20 +1,28 @@
1
- select count(*) from (
2
- select distinct c_last_name, c_first_name, d_date
3
- from store_sales, date_dim, customer
4
- where store_sales.ss_sold_date_sk = date_dim.d_date_sk
5
- and store_sales.ss_customer_sk = customer.c_customer_sk
6
- and d_month_seq between 1212 and 1212 + 11
7
- intersect
8
- select distinct c_last_name, c_first_name, d_date
9
- from catalog_sales, date_dim, customer
10
- where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
11
- and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
12
- and d_month_seq between 1212 and 1212 + 11
13
- intersect
14
- select distinct c_last_name, c_first_name, d_date
15
- from web_sales, date_dim, customer
16
- where web_sales.ws_sold_date_sk = date_dim.d_date_sk
17
- and web_sales.ws_bill_customer_sk = customer.c_customer_sk
18
- and d_month_seq between 1212 and 1212 + 11
19
- ) hot_cust
20
- limit 100;
 
 
 
 
 
 
 
 
 
1
+ SELECT count(*)
2
+ FROM
3
+ (SELECT DISTINCT c_last_name,
4
+ c_first_name,
5
+ d_date
6
+ FROM store_sales,
7
+ date_dim,
8
+ customer
9
+ WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
10
+ AND store_sales.ss_customer_sk = customer.c_customer_sk
11
+ AND d_month_seq BETWEEN 1212 AND 1212 + 11 INTERSECT SELECT DISTINCT c_last_name,
12
+ c_first_name,
13
+ d_date
14
+ FROM catalog_sales,
15
+ date_dim,
16
+ customer
17
+ WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
18
+ AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
19
+ AND d_month_seq BETWEEN 1212 AND 1212 + 11 INTERSECT SELECT DISTINCT c_last_name,
20
+ c_first_name,
21
+ d_date
22
+ FROM web_sales,
23
+ date_dim,
24
+ customer
25
+ WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk
26
+ AND web_sales.ws_bill_customer_sk = customer.c_customer_sk
27
+ AND d_month_seq BETWEEN 1212 AND 1212 + 11) hot_cust
28
+ LIMIT 100;
TPC-DS/queries/query39.sql CHANGED
@@ -1,51 +1,118 @@
1
- with inv as
2
- (select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
3
- ,stdev,mean, case mean when 0 then null else stdev/mean end cov
4
- from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
5
- ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
6
- from inventory
7
- ,item
8
- ,warehouse
9
- ,date_dim
10
- where inv_item_sk = i_item_sk
11
- and inv_warehouse_sk = w_warehouse_sk
12
- and inv_date_sk = d_date_sk
13
- and d_year =1998
14
- group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
15
- where case mean when 0 then 0 else stdev/mean end > 1)
16
- select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov
17
- ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov
18
- from inv inv1,inv inv2
19
- where inv1.i_item_sk = inv2.i_item_sk
20
- and inv1.w_warehouse_sk = inv2.w_warehouse_sk
21
- and inv1.d_moy=4
22
- and inv2.d_moy=4+1
23
- order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
24
- ,inv2.d_moy,inv2.mean, inv2.cov
25
- ;
26
- with inv as
27
- (select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
28
- ,stdev,mean, case mean when 0 then null else stdev/mean end cov
29
- from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
30
- ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean
31
- from inventory
32
- ,item
33
- ,warehouse
34
- ,date_dim
35
- where inv_item_sk = i_item_sk
36
- and inv_warehouse_sk = w_warehouse_sk
37
- and inv_date_sk = d_date_sk
38
- and d_year =1998
39
- group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo
40
- where case mean when 0 then 0 else stdev/mean end > 1)
41
- select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov
42
- ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov
43
- from inv inv1,inv inv2
44
- where inv1.i_item_sk = inv2.i_item_sk
45
- and inv1.w_warehouse_sk = inv2.w_warehouse_sk
46
- and inv1.d_moy=4
47
- and inv2.d_moy=4+1
48
- and inv1.cov > 1.5
49
- order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
50
- ,inv2.d_moy,inv2.mean, inv2.cov
51
- ;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ WITH inv AS
2
+ (SELECT w_warehouse_name,
3
+ w_warehouse_sk,
4
+ i_item_sk,
5
+ d_moy ,
6
+ stdev,
7
+ mean,
8
+ CASE mean
9
+ WHEN 0 THEN NULL
10
+ ELSE stdev/mean
11
+ END cov
12
+ FROM
13
+ (SELECT w_warehouse_name,
14
+ w_warehouse_sk,
15
+ i_item_sk,
16
+ d_moy ,
17
+ stddev_samp(inv_quantity_on_hand) stdev,
18
+ avg(inv_quantity_on_hand) mean
19
+ FROM inventory ,
20
+ item ,
21
+ warehouse ,
22
+ date_dim
23
+ WHERE inv_item_sk = i_item_sk
24
+ AND inv_warehouse_sk = w_warehouse_sk
25
+ AND inv_date_sk = d_date_sk
26
+ AND d_year =1998
27
+ GROUP BY w_warehouse_name,
28
+ w_warehouse_sk,
29
+ i_item_sk,
30
+ d_moy) foo
31
+ WHERE CASE mean
32
+ WHEN 0 THEN 0
33
+ ELSE stdev/mean
34
+ END > 1)
35
+ SELECT inv1.w_warehouse_sk,
36
+ inv1.i_item_sk,
37
+ inv1.d_moy,
38
+ inv1.mean,
39
+ inv1.cov ,
40
+ inv2.w_warehouse_sk,
41
+ inv2.i_item_sk,
42
+ inv2.d_moy,
43
+ inv2.mean,
44
+ inv2.cov
45
+ FROM inv inv1,
46
+ inv inv2
47
+ WHERE inv1.i_item_sk = inv2.i_item_sk
48
+ AND inv1.w_warehouse_sk = inv2.w_warehouse_sk
49
+ AND inv1.d_moy=4
50
+ AND inv2.d_moy=4+1
51
+ ORDER BY inv1.w_warehouse_sk,
52
+ inv1.i_item_sk,
53
+ inv1.d_moy,
54
+ inv1.mean,
55
+ inv1.cov ,
56
+ inv2.d_moy,
57
+ inv2.mean,
58
+ inv2.cov ;
59
+
60
+ WITH inv AS
61
+ (SELECT w_warehouse_name,
62
+ w_warehouse_sk,
63
+ i_item_sk,
64
+ d_moy ,
65
+ stdev,
66
+ mean,
67
+ CASE mean
68
+ WHEN 0 THEN NULL
69
+ ELSE stdev/mean
70
+ END cov
71
+ FROM
72
+ (SELECT w_warehouse_name,
73
+ w_warehouse_sk,
74
+ i_item_sk,
75
+ d_moy ,
76
+ stddev_samp(inv_quantity_on_hand) stdev,
77
+ avg(inv_quantity_on_hand) mean
78
+ FROM inventory ,
79
+ item ,
80
+ warehouse ,
81
+ date_dim
82
+ WHERE inv_item_sk = i_item_sk
83
+ AND inv_warehouse_sk = w_warehouse_sk
84
+ AND inv_date_sk = d_date_sk
85
+ AND d_year =1998
86
+ GROUP BY w_warehouse_name,
87
+ w_warehouse_sk,
88
+ i_item_sk,
89
+ d_moy) foo
90
+ WHERE CASE mean
91
+ WHEN 0 THEN 0
92
+ ELSE stdev/mean
93
+ END > 1)
94
+ SELECT inv1.w_warehouse_sk,
95
+ inv1.i_item_sk,
96
+ inv1.d_moy,
97
+ inv1.mean,
98
+ inv1.cov ,
99
+ inv2.w_warehouse_sk,
100
+ inv2.i_item_sk,
101
+ inv2.d_moy,
102
+ inv2.mean,
103
+ inv2.cov
104
+ FROM inv inv1,
105
+ inv inv2
106
+ WHERE inv1.i_item_sk = inv2.i_item_sk
107
+ AND inv1.w_warehouse_sk = inv2.w_warehouse_sk
108
+ AND inv1.d_moy=4
109
+ AND inv2.d_moy=4+1
110
+ AND inv1.cov > 1.5
111
+ ORDER BY inv1.w_warehouse_sk,
112
+ inv1.i_item_sk,
113
+ inv1.d_moy,
114
+ inv1.mean,
115
+ inv1.cov ,
116
+ inv2.d_moy,
117
+ inv2.mean,
118
+ inv2.cov ;
TPC-DS/queries/query4.sql CHANGED
@@ -1,113 +1,119 @@
1
- with year_total as (
2
- select c_customer_id customer_id
3
- ,c_first_name customer_first_name
4
- ,c_last_name customer_last_name
5
- ,c_preferred_cust_flag customer_preferred_cust_flag
6
- ,c_birth_country customer_birth_country
7
- ,c_login customer_login
8
- ,c_email_address customer_email_address
9
- ,d_year dyear
10
- ,sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total
11
- ,'s' sale_type
12
- from customer
13
- ,store_sales
14
- ,date_dim
15
- where c_customer_sk = ss_customer_sk
16
- and ss_sold_date_sk = d_date_sk
17
- group by c_customer_id
18
- ,c_first_name
19
- ,c_last_name
20
- ,c_preferred_cust_flag
21
- ,c_birth_country
22
- ,c_login
23
- ,c_email_address
24
- ,d_year
25
- union all
26
- select c_customer_id customer_id
27
- ,c_first_name customer_first_name
28
- ,c_last_name customer_last_name
29
- ,c_preferred_cust_flag customer_preferred_cust_flag
30
- ,c_birth_country customer_birth_country
31
- ,c_login customer_login
32
- ,c_email_address customer_email_address
33
- ,d_year dyear
34
- ,sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2) ) year_total
35
- ,'c' sale_type
36
- from customer
37
- ,catalog_sales
38
- ,date_dim
39
- where c_customer_sk = cs_bill_customer_sk
40
- and cs_sold_date_sk = d_date_sk
41
- group by c_customer_id
42
- ,c_first_name
43
- ,c_last_name
44
- ,c_preferred_cust_flag
45
- ,c_birth_country
46
- ,c_login
47
- ,c_email_address
48
- ,d_year
49
- union all
50
- select c_customer_id customer_id
51
- ,c_first_name customer_first_name
52
- ,c_last_name customer_last_name
53
- ,c_preferred_cust_flag customer_preferred_cust_flag
54
- ,c_birth_country customer_birth_country
55
- ,c_login customer_login
56
- ,c_email_address customer_email_address
57
- ,d_year dyear
58
- ,sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2) ) year_total
59
- ,'w' sale_type
60
- from customer
61
- ,web_sales
62
- ,date_dim
63
- where c_customer_sk = ws_bill_customer_sk
64
- and ws_sold_date_sk = d_date_sk
65
- group by c_customer_id
66
- ,c_first_name
67
- ,c_last_name
68
- ,c_preferred_cust_flag
69
- ,c_birth_country
70
- ,c_login
71
- ,c_email_address
72
- ,d_year
73
- )
74
- select
75
- t_s_secyear.customer_id
76
- ,t_s_secyear.customer_first_name
77
- ,t_s_secyear.customer_last_name
78
- ,t_s_secyear.customer_email_address
79
- from year_total t_s_firstyear
80
- ,year_total t_s_secyear
81
- ,year_total t_c_firstyear
82
- ,year_total t_c_secyear
83
- ,year_total t_w_firstyear
84
- ,year_total t_w_secyear
85
- where t_s_secyear.customer_id = t_s_firstyear.customer_id
86
- and t_s_firstyear.customer_id = t_c_secyear.customer_id
87
- and t_s_firstyear.customer_id = t_c_firstyear.customer_id
88
- and t_s_firstyear.customer_id = t_w_firstyear.customer_id
89
- and t_s_firstyear.customer_id = t_w_secyear.customer_id
90
- and t_s_firstyear.sale_type = 's'
91
- and t_c_firstyear.sale_type = 'c'
92
- and t_w_firstyear.sale_type = 'w'
93
- and t_s_secyear.sale_type = 's'
94
- and t_c_secyear.sale_type = 'c'
95
- and t_w_secyear.sale_type = 'w'
96
- and t_s_firstyear.dyear = 2001
97
- and t_s_secyear.dyear = 2001+1
98
- and t_c_firstyear.dyear = 2001
99
- and t_c_secyear.dyear = 2001+1
100
- and t_w_firstyear.dyear = 2001
101
- and t_w_secyear.dyear = 2001+1
102
- and t_s_firstyear.year_total > 0
103
- and t_c_firstyear.year_total > 0
104
- and t_w_firstyear.year_total > 0
105
- and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
106
- > case when t_s_firstyear.year_total > 0 then t_s_secyear.year_total / t_s_firstyear.year_total else null end
107
- and case when t_c_firstyear.year_total > 0 then t_c_secyear.year_total / t_c_firstyear.year_total else null end
108
- > case when t_w_firstyear.year_total > 0 then t_w_secyear.year_total / t_w_firstyear.year_total else null end
109
- order by t_s_secyear.customer_id
110
- ,t_s_secyear.customer_first_name
111
- ,t_s_secyear.customer_last_name
112
- ,t_s_secyear.customer_email_address
113
- limit 100;
 
 
 
 
 
 
 
1
+ WITH year_total AS
2
+ (SELECT c_customer_id customer_id ,
3
+ c_first_name customer_first_name ,
4
+ c_last_name customer_last_name ,
5
+ c_preferred_cust_flag customer_preferred_cust_flag ,
6
+ c_birth_country customer_birth_country ,
7
+ c_login customer_login ,
8
+ c_email_address customer_email_address ,
9
+ d_year dyear ,
10
+ sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total ,
11
+ 's' sale_type
12
+ FROM customer ,
13
+ store_sales ,
14
+ date_dim
15
+ WHERE c_customer_sk = ss_customer_sk
16
+ AND ss_sold_date_sk = d_date_sk
17
+ GROUP BY c_customer_id ,
18
+ c_first_name ,
19
+ c_last_name ,
20
+ c_preferred_cust_flag ,
21
+ c_birth_country ,
22
+ c_login ,
23
+ c_email_address ,
24
+ d_year
25
+ UNION ALL SELECT c_customer_id customer_id ,
26
+ c_first_name customer_first_name ,
27
+ c_last_name customer_last_name ,
28
+ c_preferred_cust_flag customer_preferred_cust_flag ,
29
+ c_birth_country customer_birth_country ,
30
+ c_login customer_login ,
31
+ c_email_address customer_email_address ,
32
+ d_year dyear ,
33
+ sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2)) year_total ,
34
+ 'c' sale_type
35
+ FROM customer ,
36
+ catalog_sales ,
37
+ date_dim
38
+ WHERE c_customer_sk = cs_bill_customer_sk
39
+ AND cs_sold_date_sk = d_date_sk
40
+ GROUP BY c_customer_id ,
41
+ c_first_name ,
42
+ c_last_name ,
43
+ c_preferred_cust_flag ,
44
+ c_birth_country ,
45
+ c_login ,
46
+ c_email_address ,
47
+ d_year
48
+ UNION ALL SELECT c_customer_id customer_id ,
49
+ c_first_name customer_first_name ,
50
+ c_last_name customer_last_name ,
51
+ c_preferred_cust_flag customer_preferred_cust_flag ,
52
+ c_birth_country customer_birth_country ,
53
+ c_login customer_login ,
54
+ c_email_address customer_email_address ,
55
+ d_year dyear ,
56
+ sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2)) year_total ,
57
+ 'w' sale_type
58
+ FROM customer ,
59
+ web_sales ,
60
+ date_dim
61
+ WHERE c_customer_sk = ws_bill_customer_sk
62
+ AND ws_sold_date_sk = d_date_sk
63
+ GROUP BY c_customer_id ,
64
+ c_first_name ,
65
+ c_last_name ,
66
+ c_preferred_cust_flag ,
67
+ c_birth_country ,
68
+ c_login ,
69
+ c_email_address ,
70
+ d_year)
71
+ SELECT t_s_secyear.customer_id ,
72
+ t_s_secyear.customer_first_name ,
73
+ t_s_secyear.customer_last_name ,
74
+ t_s_secyear.customer_email_address
75
+ FROM year_total t_s_firstyear ,
76
+ year_total t_s_secyear ,
77
+ year_total t_c_firstyear ,
78
+ year_total t_c_secyear ,
79
+ year_total t_w_firstyear ,
80
+ year_total t_w_secyear
81
+ WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id
82
+ AND t_s_firstyear.customer_id = t_c_secyear.customer_id
83
+ AND t_s_firstyear.customer_id = t_c_firstyear.customer_id
84
+ AND t_s_firstyear.customer_id = t_w_firstyear.customer_id
85
+ AND t_s_firstyear.customer_id = t_w_secyear.customer_id
86
+ AND t_s_firstyear.sale_type = 's'
87
+ AND t_c_firstyear.sale_type = 'c'
88
+ AND t_w_firstyear.sale_type = 'w'
89
+ AND t_s_secyear.sale_type = 's'
90
+ AND t_c_secyear.sale_type = 'c'
91
+ AND t_w_secyear.sale_type = 'w'
92
+ AND t_s_firstyear.dyear = 2001
93
+ AND t_s_secyear.dyear = 2001+1
94
+ AND t_c_firstyear.dyear = 2001
95
+ AND t_c_secyear.dyear = 2001+1
96
+ AND t_w_firstyear.dyear = 2001
97
+ AND t_w_secyear.dyear = 2001+1
98
+ AND t_s_firstyear.year_total > 0
99
+ AND t_c_firstyear.year_total > 0
100
+ AND t_w_firstyear.year_total > 0
101
+ AND CASE
102
+ WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / t_c_firstyear.year_total
103
+ ELSE NULL
104
+ END > CASE
105
+ WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total
106
+ ELSE NULL
107
+ END
108
+ AND CASE
109
+ WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / t_c_firstyear.year_total
110
+ ELSE NULL
111
+ END > CASE
112
+ WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / t_w_firstyear.year_total
113
+ ELSE NULL
114
+ END
115
+ ORDER BY t_s_secyear.customer_id ,
116
+ t_s_secyear.customer_first_name ,
117
+ t_s_secyear.customer_last_name ,
118
+ t_s_secyear.customer_email_address
119
+ LIMIT 100;
TPC-DS/queries/query40.sql CHANGED
@@ -1,25 +1,25 @@
1
- select
2
- w_state
3
- ,i_item_id
4
- ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date))
5
- then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before
6
- ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date))
7
- then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after
8
- from
9
- catalog_sales left outer join catalog_returns on
10
- (cs_order_number = cr_order_number
11
- and cs_item_sk = cr_item_sk)
12
- ,warehouse
13
- ,item
14
- ,date_dim
15
- where
16
- i_current_price between 0.99 and 1.49
17
- and i_item_sk = cs_item_sk
18
- and cs_warehouse_sk = w_warehouse_sk
19
- and cs_sold_date_sk = d_date_sk
20
- and d_date between (cast ('1998-04-08' as date) - 30 days)
21
- and (cast ('1998-04-08' as date) + 30 days)
22
- group by
23
- w_state,i_item_id
24
- order by w_state,i_item_id
25
- limit 100;
 
1
+ SELECT w_state ,
2
+ i_item_id ,
3
+ sum(CASE
4
+ WHEN (cast(d_date AS date) < CAST ('1998-04-08' AS date)) THEN cs_sales_price - coalesce(cr_refunded_cash, 0)
5
+ ELSE 0
6
+ END) AS sales_before ,
7
+ sum(CASE
8
+ WHEN (cast(d_date AS date) >= CAST ('1998-04-08' AS date)) THEN cs_sales_price - coalesce(cr_refunded_cash, 0)
9
+ ELSE 0
10
+ END) AS sales_after
11
+ FROM catalog_sales
12
+ LEFT OUTER JOIN catalog_returns ON (cs_order_number = cr_order_number
13
+ AND cs_item_sk = cr_item_sk) ,warehouse ,
14
+ item ,
15
+ date_dim
16
+ WHERE i_current_price BETWEEN 0.99 AND 1.49
17
+ AND i_item_sk = cs_item_sk
18
+ AND cs_warehouse_sk = w_warehouse_sk
19
+ AND cs_sold_date_sk = d_date_sk
20
+ AND d_date BETWEEN (CAST ('1998-04-08' AS date) - 30 days) AND (CAST ('1998-04-08' AS date) + 30 days)
21
+ GROUP BY w_state,
22
+ i_item_id
23
+ ORDER BY w_state,
24
+ i_item_id
25
+ LIMIT 100;
TPC-DS/queries/query41.sql CHANGED
@@ -1,49 +1,66 @@
1
- select distinct(i_product_name)
2
- from item i1
3
- where i_manufact_id between 742 and 742+40
4
- and (select count(*) as item_cnt
5
- from item
6
- where (i_manufact = i1.i_manufact and
7
- ((i_category = 'Women' and
8
- (i_color = 'orchid' or i_color = 'papaya') and
9
- (i_units = 'Pound' or i_units = 'Lb') and
10
- (i_size = 'petite' or i_size = 'medium')
11
- ) or
12
- (i_category = 'Women' and
13
- (i_color = 'burlywood' or i_color = 'navy') and
14
- (i_units = 'Bundle' or i_units = 'Each') and
15
- (i_size = 'N/A' or i_size = 'extra large')
16
- ) or
17
- (i_category = 'Men' and
18
- (i_color = 'bisque' or i_color = 'azure') and
19
- (i_units = 'N/A' or i_units = 'Tsp') and
20
- (i_size = 'small' or i_size = 'large')
21
- ) or
22
- (i_category = 'Men' and
23
- (i_color = 'chocolate' or i_color = 'cornflower') and
24
- (i_units = 'Bunch' or i_units = 'Gross') and
25
- (i_size = 'petite' or i_size = 'medium')
26
- ))) or
27
- (i_manufact = i1.i_manufact and
28
- ((i_category = 'Women' and
29
- (i_color = 'salmon' or i_color = 'midnight') and
30
- (i_units = 'Oz' or i_units = 'Box') and
31
- (i_size = 'petite' or i_size = 'medium')
32
- ) or
33
- (i_category = 'Women' and
34
- (i_color = 'snow' or i_color = 'steel') and
35
- (i_units = 'Carton' or i_units = 'Tbl') and
36
- (i_size = 'N/A' or i_size = 'extra large')
37
- ) or
38
- (i_category = 'Men' and
39
- (i_color = 'purple' or i_color = 'gainsboro') and
40
- (i_units = 'Dram' or i_units = 'Unknown') and
41
- (i_size = 'small' or i_size = 'large')
42
- ) or
43
- (i_category = 'Men' and
44
- (i_color = 'metallic' or i_color = 'forest') and
45
- (i_units = 'Gram' or i_units = 'Ounce') and
46
- (i_size = 'petite' or i_size = 'medium')
47
- )))) > 0
48
- order by i_product_name
49
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT distinct(i_product_name)
2
+ FROM item i1
3
+ WHERE i_manufact_id BETWEEN 742 AND 742+40
4
+ AND
5
+ (SELECT count(*) AS item_cnt
6
+ FROM item
7
+ WHERE (i_manufact = i1.i_manufact
8
+ AND ((i_category = 'Women'
9
+ AND (i_color = 'orchid'
10
+ OR i_color = 'papaya')
11
+ AND (i_units = 'Pound'
12
+ OR i_units = 'Lb')
13
+ AND (i_size = 'petite'
14
+ OR i_size = 'medium'))
15
+ OR (i_category = 'Women'
16
+ AND (i_color = 'burlywood'
17
+ OR i_color = 'navy')
18
+ AND (i_units = 'Bundle'
19
+ OR i_units = 'Each')
20
+ AND (i_size = 'N/A'
21
+ OR i_size = 'extra large'))
22
+ OR (i_category = 'Men'
23
+ AND (i_color = 'bisque'
24
+ OR i_color = 'azure')
25
+ AND (i_units = 'N/A'
26
+ OR i_units = 'Tsp')
27
+ AND (i_size = 'small'
28
+ OR i_size = 'large'))
29
+ OR (i_category = 'Men'
30
+ AND (i_color = 'chocolate'
31
+ OR i_color = 'cornflower')
32
+ AND (i_units = 'Bunch'
33
+ OR i_units = 'Gross')
34
+ AND (i_size = 'petite'
35
+ OR i_size = 'medium'))))
36
+ OR (i_manufact = i1.i_manufact
37
+ AND ((i_category = 'Women'
38
+ AND (i_color = 'salmon'
39
+ OR i_color = 'midnight')
40
+ AND (i_units = 'Oz'
41
+ OR i_units = 'Box')
42
+ AND (i_size = 'petite'
43
+ OR i_size = 'medium'))
44
+ OR (i_category = 'Women'
45
+ AND (i_color = 'snow'
46
+ OR i_color = 'steel')
47
+ AND (i_units = 'Carton'
48
+ OR i_units = 'Tbl')
49
+ AND (i_size = 'N/A'
50
+ OR i_size = 'extra large'))
51
+ OR (i_category = 'Men'
52
+ AND (i_color = 'purple'
53
+ OR i_color = 'gainsboro')
54
+ AND (i_units = 'Dram'
55
+ OR i_units = 'Unknown')
56
+ AND (i_size = 'small'
57
+ OR i_size = 'large'))
58
+ OR (i_category = 'Men'
59
+ AND (i_color = 'metallic'
60
+ OR i_color = 'forest')
61
+ AND (i_units = 'Gram'
62
+ OR i_units = 'Ounce')
63
+ AND (i_size = 'petite'
64
+ OR i_size = 'medium'))))) > 0
65
+ ORDER BY i_product_name
66
+ LIMIT 100;
TPC-DS/queries/query42.sql CHANGED
@@ -1,19 +1,19 @@
1
- select dt.d_year
2
- ,item.i_category_id
3
- ,item.i_category
4
- ,sum(ss_ext_sales_price)
5
- from date_dim dt
6
- ,store_sales
7
- ,item
8
- where dt.d_date_sk = store_sales.ss_sold_date_sk
9
- and store_sales.ss_item_sk = item.i_item_sk
10
- and item.i_manager_id = 1
11
- and dt.d_moy=12
12
- and dt.d_year=1998
13
- group by dt.d_year
14
- ,item.i_category_id
15
- ,item.i_category
16
- order by sum(ss_ext_sales_price) desc,dt.d_year
17
- ,item.i_category_id
18
- ,item.i_category
19
- limit 100 ;
 
1
+ SELECT dt.d_year ,
2
+ item.i_category_id ,
3
+ item.i_category ,
4
+ sum(ss_ext_sales_price)
5
+ FROM date_dim dt ,
6
+ store_sales ,
7
+ item
8
+ WHERE dt.d_date_sk = store_sales.ss_sold_date_sk
9
+ AND store_sales.ss_item_sk = item.i_item_sk
10
+ AND item.i_manager_id = 1
11
+ AND dt.d_moy=12
12
+ AND dt.d_year=1998
13
+ GROUP BY dt.d_year ,
14
+ item.i_category_id ,
15
+ item.i_category
16
+ ORDER BY sum(ss_ext_sales_price) DESC,dt.d_year ,
17
+ item.i_category_id ,
18
+ item.i_category
19
+ LIMIT 100 ;
TPC-DS/queries/query43.sql CHANGED
@@ -1,16 +1,49 @@
1
- select s_store_name, s_store_id,
2
- sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
3
- sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
4
- sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales,
5
- sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
6
- sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
7
- sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
8
- sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
9
- from date_dim, store_sales, store
10
- where d_date_sk = ss_sold_date_sk and
11
- s_store_sk = ss_store_sk and
12
- s_gmt_offset = -5 and
13
- d_year = 1998
14
- group by s_store_name, s_store_id
15
- order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales
16
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT s_store_name,
2
+ s_store_id,
3
+ sum(CASE
4
+ WHEN (d_day_name='Sunday') THEN ss_sales_price
5
+ ELSE NULL
6
+ END) sun_sales,
7
+ sum(CASE
8
+ WHEN (d_day_name='Monday') THEN ss_sales_price
9
+ ELSE NULL
10
+ END) mon_sales,
11
+ sum(CASE
12
+ WHEN (d_day_name='Tuesday') THEN ss_sales_price
13
+ ELSE NULL
14
+ END) tue_sales,
15
+ sum(CASE
16
+ WHEN (d_day_name='Wednesday') THEN ss_sales_price
17
+ ELSE NULL
18
+ END) wed_sales,
19
+ sum(CASE
20
+ WHEN (d_day_name='Thursday') THEN ss_sales_price
21
+ ELSE NULL
22
+ END) thu_sales,
23
+ sum(CASE
24
+ WHEN (d_day_name='Friday') THEN ss_sales_price
25
+ ELSE NULL
26
+ END) fri_sales,
27
+ sum(CASE
28
+ WHEN (d_day_name='Saturday') THEN ss_sales_price
29
+ ELSE NULL
30
+ END) sat_sales
31
+ FROM date_dim,
32
+ store_sales,
33
+ store
34
+ WHERE d_date_sk = ss_sold_date_sk
35
+ AND s_store_sk = ss_store_sk
36
+ AND s_gmt_offset = -5
37
+ AND d_year = 1998
38
+ GROUP BY s_store_name,
39
+ s_store_id
40
+ ORDER BY s_store_name,
41
+ s_store_id,
42
+ sun_sales,
43
+ mon_sales,
44
+ tue_sales,
45
+ wed_sales,
46
+ thu_sales,
47
+ fri_sales,
48
+ sat_sales
49
+ LIMIT 100;
TPC-DS/queries/query44.sql CHANGED
@@ -1,32 +1,48 @@
1
- select asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
2
- from(select *
3
- from (select item_sk,rank() over (order by rank_col asc) rnk
4
- from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
5
- from store_sales ss1
6
- where ss_store_sk = 2
7
- group by ss_item_sk
8
- having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
9
- from store_sales
10
- where ss_store_sk = 2
11
- and ss_hdemo_sk is null
12
- group by ss_store_sk))V1)V11
13
- where rnk < 11) asceding,
14
- (select *
15
- from (select item_sk,rank() over (order by rank_col desc) rnk
16
- from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col
17
- from store_sales ss1
18
- where ss_store_sk = 2
19
- group by ss_item_sk
20
- having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col
21
- from store_sales
22
- where ss_store_sk = 2
23
- and ss_hdemo_sk is null
24
- group by ss_store_sk))V2)V21
25
- where rnk < 11) descending,
26
- item i1,
27
- item i2
28
- where asceding.rnk = descending.rnk
29
- and i1.i_item_sk=asceding.item_sk
30
- and i2.i_item_sk=descending.item_sk
31
- order by asceding.rnk
32
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT asceding.rnk,
2
+ i1.i_product_name best_performing,
3
+ i2.i_product_name worst_performing
4
+ FROM
5
+ (SELECT *
6
+ FROM
7
+ (SELECT item_sk,
8
+ rank() OVER (
9
+ ORDER BY rank_col ASC) rnk
10
+ FROM
11
+ (SELECT ss_item_sk item_sk,
12
+ avg(ss_net_profit) rank_col
13
+ FROM store_sales ss1
14
+ WHERE ss_store_sk = 2
15
+ GROUP BY ss_item_sk
16
+ HAVING avg(ss_net_profit) > 0.9*
17
+ (SELECT avg(ss_net_profit) rank_col
18
+ FROM store_sales
19
+ WHERE ss_store_sk = 2
20
+ AND ss_hdemo_sk IS NULL
21
+ GROUP BY ss_store_sk))V1)V11
22
+ WHERE rnk < 11) asceding,
23
+
24
+ (SELECT *
25
+ FROM
26
+ (SELECT item_sk,
27
+ rank() OVER (
28
+ ORDER BY rank_col DESC) rnk
29
+ FROM
30
+ (SELECT ss_item_sk item_sk,
31
+ avg(ss_net_profit) rank_col
32
+ FROM store_sales ss1
33
+ WHERE ss_store_sk = 2
34
+ GROUP BY ss_item_sk
35
+ HAVING avg(ss_net_profit) > 0.9*
36
+ (SELECT avg(ss_net_profit) rank_col
37
+ FROM store_sales
38
+ WHERE ss_store_sk = 2
39
+ AND ss_hdemo_sk IS NULL
40
+ GROUP BY ss_store_sk))V2)V21
41
+ WHERE rnk < 11) descending,
42
+ item i1,
43
+ item i2
44
+ WHERE asceding.rnk = descending.rnk
45
+ AND i1.i_item_sk=asceding.item_sk
46
+ AND i2.i_item_sk=descending.item_sk
47
+ ORDER BY asceding.rnk
48
+ LIMIT 100;
TPC-DS/queries/query45.sql CHANGED
@@ -1,17 +1,41 @@
1
- select ca_zip, ca_county, sum(ws_sales_price)
2
- from web_sales, customer, customer_address, date_dim, item
3
- where ws_bill_customer_sk = c_customer_sk
4
- and c_current_addr_sk = ca_address_sk
5
- and ws_item_sk = i_item_sk
6
- and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792')
7
- or
8
- i_item_id in (select i_item_id
9
- from item
10
- where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
11
- )
12
- )
13
- and ws_sold_date_sk = d_date_sk
14
- and d_qoy = 2 and d_year = 2000
15
- group by ca_zip, ca_county
16
- order by ca_zip, ca_county
17
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT ca_zip,
2
+ ca_county,
3
+ sum(ws_sales_price)
4
+ FROM web_sales,
5
+ customer,
6
+ customer_address,
7
+ date_dim,
8
+ item
9
+ WHERE ws_bill_customer_sk = c_customer_sk
10
+ AND c_current_addr_sk = ca_address_sk
11
+ AND ws_item_sk = i_item_sk
12
+ AND (substr(ca_zip, 1, 5) IN ('85669',
13
+ '86197',
14
+ '88274',
15
+ '83405',
16
+ '86475',
17
+ '85392',
18
+ '85460',
19
+ '80348',
20
+ '81792')
21
+ OR i_item_id IN
22
+ (SELECT i_item_id
23
+ FROM item
24
+ WHERE i_item_sk IN (2,
25
+ 3,
26
+ 5,
27
+ 7,
28
+ 11,
29
+ 13,
30
+ 17,
31
+ 19,
32
+ 23,
33
+ 29)))
34
+ AND ws_sold_date_sk = d_date_sk
35
+ AND d_qoy = 2
36
+ AND d_year = 2000
37
+ GROUP BY ca_zip,
38
+ ca_county
39
+ ORDER BY ca_zip,
40
+ ca_county
41
+ LIMIT 100;
TPC-DS/queries/query46.sql CHANGED
@@ -1,32 +1,49 @@
1
- select c_last_name
2
- ,c_first_name
3
- ,ca_city
4
- ,bought_city
5
- ,ss_ticket_number
6
- ,amt,profit
7
- from
8
- (select ss_ticket_number
9
- ,ss_customer_sk
10
- ,ca_city bought_city
11
- ,sum(ss_coupon_amt) amt
12
- ,sum(ss_net_profit) profit
13
- from store_sales,date_dim,store,household_demographics,customer_address
14
- where store_sales.ss_sold_date_sk = date_dim.d_date_sk
15
- and store_sales.ss_store_sk = store.s_store_sk
16
- and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
17
- and store_sales.ss_addr_sk = customer_address.ca_address_sk
18
- and (household_demographics.hd_dep_count = 5 or
19
- household_demographics.hd_vehicle_count= 3)
20
- and date_dim.d_dow in (6,0)
21
- and date_dim.d_year in (1999,1999+1,1999+2)
22
- and store.s_city in ('Midway','Fairview','Fairview','Fairview','Fairview')
23
- group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr
24
- where ss_customer_sk = c_customer_sk
25
- and customer.c_current_addr_sk = current_addr.ca_address_sk
26
- and current_addr.ca_city <> bought_city
27
- order by c_last_name
28
- ,c_first_name
29
- ,ca_city
30
- ,bought_city
31
- ,ss_ticket_number
32
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT c_last_name ,
2
+ c_first_name ,
3
+ ca_city ,
4
+ bought_city ,
5
+ ss_ticket_number ,
6
+ amt,
7
+ profit
8
+ FROM
9
+ (SELECT ss_ticket_number ,
10
+ ss_customer_sk ,
11
+ ca_city bought_city ,
12
+ sum(ss_coupon_amt) amt ,
13
+ sum(ss_net_profit) profit
14
+ FROM store_sales,
15
+ date_dim,
16
+ store,
17
+ household_demographics,
18
+ customer_address
19
+ WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk
20
+ AND store_sales.ss_store_sk = store.s_store_sk
21
+ AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
22
+ AND store_sales.ss_addr_sk = customer_address.ca_address_sk
23
+ AND (household_demographics.hd_dep_count = 5
24
+ OR household_demographics.hd_vehicle_count= 3)
25
+ AND date_dim.d_dow IN (6,
26
+ 0)
27
+ AND date_dim.d_year IN (1999,
28
+ 1999+1,
29
+ 1999+2)
30
+ AND store.s_city IN ('Midway',
31
+ 'Fairview',
32
+ 'Fairview',
33
+ 'Fairview',
34
+ 'Fairview')
35
+ GROUP BY ss_ticket_number,
36
+ ss_customer_sk,
37
+ ss_addr_sk,
38
+ ca_city) dn,
39
+ customer,
40
+ customer_address current_addr
41
+ WHERE ss_customer_sk = c_customer_sk
42
+ AND customer.c_current_addr_sk = current_addr.ca_address_sk
43
+ AND current_addr.ca_city <> bought_city
44
+ ORDER BY c_last_name ,
45
+ c_first_name ,
46
+ ca_city ,
47
+ bought_city ,
48
+ ss_ticket_number
49
+ LIMIT 100;
TPC-DS/queries/query47.sql CHANGED
@@ -1,48 +1,62 @@
1
- with v1 as(
2
- select i_category, i_brand,
3
- s_store_name, s_company_name,
4
- d_year, d_moy,
5
- sum(ss_sales_price) sum_sales,
6
- avg(sum(ss_sales_price)) over
7
- (partition by i_category, i_brand,
8
- s_store_name, s_company_name, d_year)
9
- avg_monthly_sales,
10
- rank() over
11
- (partition by i_category, i_brand,
12
- s_store_name, s_company_name
13
- order by d_year, d_moy) rn
14
- from item, store_sales, date_dim, store
15
- where ss_item_sk = i_item_sk and
16
- ss_sold_date_sk = d_date_sk and
17
- ss_store_sk = s_store_sk and
18
- (
19
- d_year = 2000 or
20
- ( d_year = 2000-1 and d_moy =12) or
21
- ( d_year = 2000+1 and d_moy =1)
22
- )
23
- group by i_category, i_brand,
24
- s_store_name, s_company_name,
25
- d_year, d_moy),
26
- v2 as(
27
- select v1.i_category, v1.i_brand
28
- ,v1.d_year, v1.d_moy
29
- ,v1.avg_monthly_sales
30
- ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
31
- from v1, v1 v1_lag, v1 v1_lead
32
- where v1.i_category = v1_lag.i_category and
33
- v1.i_category = v1_lead.i_category and
34
- v1.i_brand = v1_lag.i_brand and
35
- v1.i_brand = v1_lead.i_brand and
36
- v1.s_store_name = v1_lag.s_store_name and
37
- v1.s_store_name = v1_lead.s_store_name and
38
- v1.s_company_name = v1_lag.s_company_name and
39
- v1.s_company_name = v1_lead.s_company_name and
40
- v1.rn = v1_lag.rn + 1 and
41
- v1.rn = v1_lead.rn - 1)
42
- select *
43
- from v2
44
- where d_year = 2000 and
45
- avg_monthly_sales > 0 and
46
- case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
47
- order by sum_sales - avg_monthly_sales, nsum
48
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ WITH v1 AS
2
+ (SELECT i_category,
3
+ i_brand,
4
+ s_store_name,
5
+ s_company_name,
6
+ d_year,
7
+ d_moy,
8
+ sum(ss_sales_price) sum_sales,
9
+ avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name, d_year) avg_monthly_sales,
10
+ rank() OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name
11
+ ORDER BY d_year, d_moy) rn
12
+ FROM item,
13
+ store_sales,
14
+ date_dim,
15
+ store
16
+ WHERE ss_item_sk = i_item_sk
17
+ AND ss_sold_date_sk = d_date_sk
18
+ AND ss_store_sk = s_store_sk
19
+ AND (d_year = 2000
20
+ OR (d_year = 2000-1
21
+ AND d_moy =12)
22
+ OR (d_year = 2000+1
23
+ AND d_moy =1))
24
+ GROUP BY i_category,
25
+ i_brand,
26
+ s_store_name,
27
+ s_company_name,
28
+ d_year,
29
+ d_moy),
30
+ v2 AS
31
+ (SELECT v1.i_category,
32
+ v1.i_brand ,
33
+ v1.d_year,
34
+ v1.d_moy ,
35
+ v1.avg_monthly_sales ,
36
+ v1.sum_sales,
37
+ v1_lag.sum_sales psum,
38
+ v1_lead.sum_sales nsum
39
+ FROM v1,
40
+ v1 v1_lag,
41
+ v1 v1_lead
42
+ WHERE v1.i_category = v1_lag.i_category
43
+ AND v1.i_category = v1_lead.i_category
44
+ AND v1.i_brand = v1_lag.i_brand
45
+ AND v1.i_brand = v1_lead.i_brand
46
+ AND v1.s_store_name = v1_lag.s_store_name
47
+ AND v1.s_store_name = v1_lead.s_store_name
48
+ AND v1.s_company_name = v1_lag.s_company_name
49
+ AND v1.s_company_name = v1_lead.s_company_name
50
+ AND v1.rn = v1_lag.rn + 1
51
+ AND v1.rn = v1_lead.rn - 1)
52
+ SELECT *
53
+ FROM v2
54
+ WHERE d_year = 2000
55
+ AND avg_monthly_sales > 0
56
+ AND CASE
57
+ WHEN avg_monthly_sales > 0 THEN abs(sum_sales - avg_monthly_sales) / avg_monthly_sales
58
+ ELSE NULL
59
+ END > 0.1
60
+ ORDER BY sum_sales - avg_monthly_sales,
61
+ nsum
62
+ LIMIT 100;
TPC-DS/queries/query48.sql CHANGED
@@ -1,64 +1,39 @@
1
- select sum (ss_quantity)
2
- from store_sales, store, customer_demographics, customer_address, date_dim
3
- where s_store_sk = ss_store_sk
4
- and ss_sold_date_sk = d_date_sk and d_year = 1998
5
- and
6
- (
7
- (
8
- cd_demo_sk = ss_cdemo_sk
9
- and
10
- cd_marital_status = 'M'
11
- and
12
- cd_education_status = '4 yr Degree'
13
- and
14
- ss_sales_price between 100.00 and 150.00
15
- )
16
- or
17
- (
18
- cd_demo_sk = ss_cdemo_sk
19
- and
20
- cd_marital_status = 'D'
21
- and
22
- cd_education_status = 'Primary'
23
- and
24
- ss_sales_price between 50.00 and 100.00
25
- )
26
- or
27
- (
28
- cd_demo_sk = ss_cdemo_sk
29
- and
30
- cd_marital_status = 'U'
31
- and
32
- cd_education_status = 'Advanced Degree'
33
- and
34
- ss_sales_price between 150.00 and 200.00
35
- )
36
- )
37
- and
38
- (
39
- (
40
- ss_addr_sk = ca_address_sk
41
- and
42
- ca_country = 'United States'
43
- and
44
- ca_state in ('KY', 'GA', 'NM')
45
- and ss_net_profit between 0 and 2000
46
- )
47
- or
48
- (ss_addr_sk = ca_address_sk
49
- and
50
- ca_country = 'United States'
51
- and
52
- ca_state in ('MT', 'OR', 'IN')
53
- and ss_net_profit between 150 and 3000
54
- )
55
- or
56
- (ss_addr_sk = ca_address_sk
57
- and
58
- ca_country = 'United States'
59
- and
60
- ca_state in ('WI', 'MO', 'WV')
61
- and ss_net_profit between 50 and 25000
62
- )
63
- )
64
- ;
 
1
+ SELECT SUM (ss_quantity)
2
+ FROM store_sales,
3
+ store,
4
+ customer_demographics,
5
+ customer_address,
6
+ date_dim
7
+ WHERE s_store_sk = ss_store_sk
8
+ AND ss_sold_date_sk = d_date_sk
9
+ AND d_year = 1998
10
+ AND ((cd_demo_sk = ss_cdemo_sk
11
+ AND cd_marital_status = 'M'
12
+ AND cd_education_status = '4 yr Degree'
13
+ AND ss_sales_price BETWEEN 100.00 AND 150.00)
14
+ OR (cd_demo_sk = ss_cdemo_sk
15
+ AND cd_marital_status = 'D'
16
+ AND cd_education_status = 'Primary'
17
+ AND ss_sales_price BETWEEN 50.00 AND 100.00)
18
+ OR (cd_demo_sk = ss_cdemo_sk
19
+ AND cd_marital_status = 'U'
20
+ AND cd_education_status = 'Advanced Degree'
21
+ AND ss_sales_price BETWEEN 150.00 AND 200.00))
22
+ AND ((ss_addr_sk = ca_address_sk
23
+ AND ca_country = 'United States'
24
+ AND ca_state IN ('KY',
25
+ 'GA',
26
+ 'NM')
27
+ AND ss_net_profit BETWEEN 0 AND 2000)
28
+ OR (ss_addr_sk = ca_address_sk
29
+ AND ca_country = 'United States'
30
+ AND ca_state IN ('MT',
31
+ 'OR',
32
+ 'IN')
33
+ AND ss_net_profit BETWEEN 150 AND 3000)
34
+ OR (ss_addr_sk = ca_address_sk
35
+ AND ca_country = 'United States'
36
+ AND ca_state IN ('WI',
37
+ 'MO',
38
+ 'WV')
39
+ AND ss_net_profit BETWEEN 50 AND 25000)) ;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TPC-DS/queries/query49.sql CHANGED
@@ -1,126 +1,101 @@
1
- select channel, item, return_ratio, return_rank, currency_rank from
2
- (select
3
- 'web' as channel
4
- ,web.item
5
- ,web.return_ratio
6
- ,web.return_rank
7
- ,web.currency_rank
8
- from (
9
- select
10
- item
11
- ,return_ratio
12
- ,currency_ratio
13
- ,rank() over (order by return_ratio) as return_rank
14
- ,rank() over (order by currency_ratio) as currency_rank
15
- from
16
- ( select ws.ws_item_sk as item
17
- ,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/
18
- cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio
19
- ,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/
20
- cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio
21
- from
22
- web_sales ws left outer join web_returns wr
23
- on (ws.ws_order_number = wr.wr_order_number and
24
- ws.ws_item_sk = wr.wr_item_sk)
25
- ,date_dim
26
- where
27
- wr.wr_return_amt > 10000
28
- and ws.ws_net_profit > 1
29
- and ws.ws_net_paid > 0
30
- and ws.ws_quantity > 0
31
- and ws_sold_date_sk = d_date_sk
32
- and d_year = 2000
33
- and d_moy = 12
34
- group by ws.ws_item_sk
35
- ) in_web
36
- ) web
37
- where
38
- (
39
- web.return_rank <= 10
40
- or
41
- web.currency_rank <= 10
42
- )
43
- union
44
- select
45
- 'catalog' as channel
46
- ,catalog.item
47
- ,catalog.return_ratio
48
- ,catalog.return_rank
49
- ,catalog.currency_rank
50
- from (
51
- select
52
- item
53
- ,return_ratio
54
- ,currency_ratio
55
- ,rank() over (order by return_ratio) as return_rank
56
- ,rank() over (order by currency_ratio) as currency_rank
57
- from
58
- ( select
59
- cs.cs_item_sk as item
60
- ,(cast(sum(coalesce(cr.cr_return_quantity,0)) as decimal(15,4))/
61
- cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as return_ratio
62
- ,(cast(sum(coalesce(cr.cr_return_amount,0)) as decimal(15,4))/
63
- cast(sum(coalesce(cs.cs_net_paid,0)) as decimal(15,4) )) as currency_ratio
64
- from
65
- catalog_sales cs left outer join catalog_returns cr
66
- on (cs.cs_order_number = cr.cr_order_number and
67
- cs.cs_item_sk = cr.cr_item_sk)
68
- ,date_dim
69
- where
70
- cr.cr_return_amount > 10000
71
- and cs.cs_net_profit > 1
72
- and cs.cs_net_paid > 0
73
- and cs.cs_quantity > 0
74
- and cs_sold_date_sk = d_date_sk
75
- and d_year = 2000
76
- and d_moy = 12
77
- group by cs.cs_item_sk
78
- ) in_cat
79
- ) catalog
80
- where
81
- (
82
- catalog.return_rank <= 10
83
- or
84
- catalog.currency_rank <=10
85
- )
86
- union
87
- select
88
- 'store' as channel
89
- ,store.item
90
- ,store.return_ratio
91
- ,store.return_rank
92
- ,store.currency_rank
93
- from (
94
- select
95
- item
96
- ,return_ratio
97
- ,currency_ratio
98
- ,rank() over (order by return_ratio) as return_rank
99
- ,rank() over (order by currency_ratio) as currency_rank
100
- from
101
- ( select sts.ss_item_sk as item
102
- ,(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
103
- ,(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
104
- from
105
- store_sales sts left outer join store_returns sr
106
- on (sts.ss_ticket_number = sr.sr_ticket_number and sts.ss_item_sk = sr.sr_item_sk)
107
- ,date_dim
108
- where
109
- sr.sr_return_amt > 10000
110
- and sts.ss_net_profit > 1
111
- and sts.ss_net_paid > 0
112
- and sts.ss_quantity > 0
113
- and ss_sold_date_sk = d_date_sk
114
- and d_year = 2000
115
- and d_moy = 12
116
- group by sts.ss_item_sk
117
- ) in_store
118
- ) store
119
- where (
120
- store.return_rank <= 10
121
- or
122
- store.currency_rank <= 10
123
- )
124
- )
125
- order by 1,4,5,2
126
- limit 100;
 
1
+ SELECT channel,
2
+ item,
3
+ return_ratio,
4
+ return_rank,
5
+ currency_rank
6
+ FROM
7
+ (SELECT 'web' AS channel ,
8
+ web.item ,
9
+ web.return_ratio ,
10
+ web.return_rank ,
11
+ web.currency_rank
12
+ FROM
13
+ (SELECT item ,
14
+ return_ratio ,
15
+ currency_ratio ,
16
+ rank() OVER (
17
+ ORDER BY return_ratio) AS return_rank ,
18
+ rank() OVER (
19
+ ORDER BY currency_ratio) AS currency_rank
20
+ FROM
21
+ (SELECT ws.ws_item_sk AS item ,
22
+ (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 ,
23
+ (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
24
+ FROM web_sales ws
25
+ LEFT OUTER JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number
26
+ AND ws.ws_item_sk = wr.wr_item_sk) ,date_dim
27
+ WHERE wr.wr_return_amt > 10000
28
+ AND ws.ws_net_profit > 1
29
+ AND ws.ws_net_paid > 0
30
+ AND ws.ws_quantity > 0
31
+ AND ws_sold_date_sk = d_date_sk
32
+ AND d_year = 2000
33
+ AND d_moy = 12
34
+ GROUP BY ws.ws_item_sk) in_web) web
35
+ WHERE (web.return_rank <= 10
36
+ OR web.currency_rank <= 10)
37
+ UNION SELECT 'catalog' AS channel ,
38
+ catalog.item ,
39
+ catalog.return_ratio ,
40
+ catalog.return_rank ,
41
+ catalog.currency_rank
42
+ FROM
43
+ (SELECT item ,
44
+ return_ratio ,
45
+ currency_ratio ,
46
+ rank() OVER (
47
+ ORDER BY return_ratio) AS return_rank ,
48
+ rank() OVER (
49
+ ORDER BY currency_ratio) AS currency_rank
50
+ FROM
51
+ (SELECT cs.cs_item_sk AS item ,
52
+ (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 ,
53
+ (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
54
+ FROM catalog_sales cs
55
+ LEFT OUTER JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number
56
+ AND cs.cs_item_sk = cr.cr_item_sk) ,date_dim
57
+ WHERE cr.cr_return_amount > 10000
58
+ AND cs.cs_net_profit > 1
59
+ AND cs.cs_net_paid > 0
60
+ AND cs.cs_quantity > 0
61
+ AND cs_sold_date_sk = d_date_sk
62
+ AND d_year = 2000
63
+ AND d_moy = 12
64
+ GROUP BY cs.cs_item_sk) in_cat) CATALOG
65
+ WHERE (catalog.return_rank <= 10
66
+ OR catalog.currency_rank <=10)
67
+ UNION SELECT 'store' AS channel ,
68
+ store.item ,
69
+ store.return_ratio ,
70
+ store.return_rank ,
71
+ store.currency_rank
72
+ FROM
73
+ (SELECT item ,
74
+ return_ratio ,
75
+ currency_ratio ,
76
+ rank() OVER (
77
+ ORDER BY return_ratio) AS return_rank ,
78
+ rank() OVER (
79
+ ORDER BY currency_ratio) AS currency_rank
80
+ FROM
81
+ (SELECT sts.ss_item_sk AS item ,
82
+ (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 ,
83
+ (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
84
+ FROM store_sales sts
85
+ LEFT OUTER JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number
86
+ AND sts.ss_item_sk = sr.sr_item_sk) ,date_dim
87
+ WHERE sr.sr_return_amt > 10000
88
+ AND sts.ss_net_profit > 1
89
+ AND sts.ss_net_paid > 0
90
+ AND sts.ss_quantity > 0
91
+ AND ss_sold_date_sk = d_date_sk
92
+ AND d_year = 2000
93
+ AND d_moy = 12
94
+ GROUP BY sts.ss_item_sk) in_store) store
95
+ WHERE (store.return_rank <= 10
96
+ OR store.currency_rank <= 10))
97
+ ORDER BY 1,
98
+ 4,
99
+ 5,
100
+ 2
101
+ LIMIT 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
TPC-DS/queries/query5.sql CHANGED
@@ -1,125 +1,112 @@
1
- with ssr as
2
- (select s_store_id,
3
- sum(sales_price) as sales,
4
- sum(profit) as profit,
5
- sum(return_amt) as returns,
6
- sum(net_loss) as profit_loss
7
- from
8
- ( select ss_store_sk as store_sk,
9
- ss_sold_date_sk as date_sk,
10
- ss_ext_sales_price as sales_price,
11
- ss_net_profit as profit,
12
- cast(0 as decimal(7,2)) as return_amt,
13
- cast(0 as decimal(7,2)) as net_loss
14
- from store_sales
15
- union all
16
- select sr_store_sk as store_sk,
17
- sr_returned_date_sk as date_sk,
18
- cast(0 as decimal(7,2)) as sales_price,
19
- cast(0 as decimal(7,2)) as profit,
20
- sr_return_amt as return_amt,
21
- sr_net_loss as net_loss
22
- from store_returns
23
- ) salesreturns,
24
- date_dim,
25
- store
26
- where date_sk = d_date_sk
27
- and d_date between cast('1998-08-04' as date)
28
- and (cast('1998-08-04' as date) + 14 days)
29
- and store_sk = s_store_sk
30
- group by s_store_id)
31
- ,
32
- csr as
33
- (select cp_catalog_page_id,
34
- sum(sales_price) as sales,
35
- sum(profit) as profit,
36
- sum(return_amt) as returns,
37
- sum(net_loss) as profit_loss
38
- from
39
- ( select cs_catalog_page_sk as page_sk,
40
- cs_sold_date_sk as date_sk,
41
- cs_ext_sales_price as sales_price,
42
- cs_net_profit as profit,
43
- cast(0 as decimal(7,2)) as return_amt,
44
- cast(0 as decimal(7,2)) as net_loss
45
- from catalog_sales
46
- union all
47
- select cr_catalog_page_sk as page_sk,
48
- cr_returned_date_sk as date_sk,
49
- cast(0 as decimal(7,2)) as sales_price,
50
- cast(0 as decimal(7,2)) as profit,
51
- cr_return_amount as return_amt,
52
- cr_net_loss as net_loss
53
- from catalog_returns
54
- ) salesreturns,
55
- date_dim,
56
- catalog_page
57
- where date_sk = d_date_sk
58
- and d_date between cast('1998-08-04' as date)
59
- and (cast('1998-08-04' as date) + 14 days)
60
- and page_sk = cp_catalog_page_sk
61
- group by cp_catalog_page_id)
62
- ,
63
- wsr as
64
- (select web_site_id,
65
- sum(sales_price) as sales,
66
- sum(profit) as profit,
67
- sum(return_amt) as returns,
68
- sum(net_loss) as profit_loss
69
- from
70
- ( select ws_web_site_sk as wsr_web_site_sk,
71
- ws_sold_date_sk as date_sk,
72
- ws_ext_sales_price as sales_price,
73
- ws_net_profit as profit,
74
- cast(0 as decimal(7,2)) as return_amt,
75
- cast(0 as decimal(7,2)) as net_loss
76
- from web_sales
77
- union all
78
- select ws_web_site_sk as wsr_web_site_sk,
79
- wr_returned_date_sk as date_sk,
80
- cast(0 as decimal(7,2)) as sales_price,
81
- cast(0 as decimal(7,2)) as profit,
82
- wr_return_amt as return_amt,
83
- wr_net_loss as net_loss
84
- from web_returns left outer join web_sales on
85
- ( wr_item_sk = ws_item_sk
86
- and wr_order_number = ws_order_number)
87
- ) salesreturns,
88
- date_dim,
89
- web_site
90
- where date_sk = d_date_sk
91
- and d_date between cast('1998-08-04' as date)
92
- and (cast('1998-08-04' as date) + 14 days)
93
- and wsr_web_site_sk = web_site_sk
94
- group by web_site_id)
95
- select channel
96
- , id
97
- , sum(sales) as sales
98
- , sum(returns) as returns
99
- , sum(profit) as profit
100
- from
101
- (select 'store channel' as channel
102
- , 'store' || s_store_id as id
103
- , sales
104
- , returns
105
- , (profit - profit_loss) as profit
106
- from ssr
107
- union all
108
- select 'catalog channel' as channel
109
- , 'catalog_page' || cp_catalog_page_id as id
110
- , sales
111
- , returns
112
- , (profit - profit_loss) as profit
113
- from csr
114
- union all
115
- select 'web channel' as channel
116
- , 'web_site' || web_site_id as id
117
- , sales
118
- , returns
119
- , (profit - profit_loss) as profit
120
- from wsr
121
- ) x
122
- group by rollup (channel, id)
123
- order by channel
124
- ,id
125
- limit 100;
 
1
+ WITH ssr AS
2
+ (SELECT s_store_id,
3
+ sum(sales_price) AS sales,
4
+ sum(profit) AS profit,
5
+ sum(return_amt) AS RETURNS,
6
+ sum(net_loss) AS profit_loss
7
+ FROM
8
+ (SELECT ss_store_sk AS store_sk,
9
+ ss_sold_date_sk AS date_sk,
10
+ ss_ext_sales_price AS sales_price,
11
+ ss_net_profit AS profit,
12
+ cast(0 AS decimal(7, 2)) AS return_amt,
13
+ cast(0 AS decimal(7, 2)) AS net_loss
14
+ FROM store_sales
15
+ UNION ALL SELECT sr_store_sk AS store_sk,
16
+ sr_returned_date_sk AS date_sk,
17
+ cast(0 AS decimal(7, 2)) AS sales_price,
18
+ cast(0 AS decimal(7, 2)) AS profit,
19
+ sr_return_amt AS return_amt,
20
+ sr_net_loss AS net_loss
21
+ FROM store_returns) salesreturns,
22
+ date_dim,
23
+ store
24
+ WHERE date_sk = d_date_sk
25
+ AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 14 days)
26
+ AND store_sk = s_store_sk
27
+ GROUP BY s_store_id) ,
28
+ csr AS
29
+ (SELECT cp_catalog_page_id,
30
+ sum(sales_price) AS sales,
31
+ sum(profit) AS profit,
32
+ sum(return_amt) AS RETURNS,
33
+ sum(net_loss) AS profit_loss
34
+ FROM
35
+ (SELECT cs_catalog_page_sk AS page_sk,
36
+ cs_sold_date_sk AS date_sk,
37
+ cs_ext_sales_price AS sales_price,
38
+ cs_net_profit AS profit,
39
+ cast(0 AS decimal(7, 2)) AS return_amt,
40
+ cast(0 AS decimal(7, 2)) AS net_loss
41
+ FROM catalog_sales
42
+ UNION ALL SELECT cr_catalog_page_sk AS page_sk,
43
+ cr_returned_date_sk AS date_sk,
44
+ cast(0 AS decimal(7, 2)) AS sales_price,
45
+ cast(0 AS decimal(7, 2)) AS profit,
46
+ cr_return_amount AS return_amt,
47
+ cr_net_loss AS net_loss
48
+ FROM catalog_returns) salesreturns,
49
+ date_dim,
50
+ catalog_page
51
+ WHERE date_sk = d_date_sk
52
+ AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 14 days)
53
+ AND page_sk = cp_catalog_page_sk
54
+ GROUP BY cp_catalog_page_id) ,
55
+ wsr AS
56
+ (SELECT web_site_id,
57
+ sum(sales_price) AS sales,
58
+ sum(profit) AS profit,
59
+ sum(return_amt) AS RETURNS,
60
+ sum(net_loss) AS profit_loss
61
+ FROM
62
+ (SELECT ws_web_site_sk AS wsr_web_site_sk,
63
+ ws_sold_date_sk AS date_sk,
64
+ ws_ext_sales_price AS sales_price,
65
+ ws_net_profit AS profit,
66
+ cast(0 AS decimal(7, 2)) AS return_amt,
67
+ cast(0 AS decimal(7, 2)) AS net_loss
68
+ FROM web_sales
69
+ UNION ALL SELECT ws_web_site_sk AS wsr_web_site_sk,
70
+ wr_returned_date_sk AS date_sk,
71
+ cast(0 AS decimal(7, 2)) AS sales_price,
72
+ cast(0 AS decimal(7, 2)) AS profit,
73
+ wr_return_amt AS return_amt,
74
+ wr_net_loss AS net_loss
75
+ FROM web_returns
76
+ LEFT OUTER JOIN web_sales ON (wr_item_sk = ws_item_sk
77
+ AND wr_order_number = ws_order_number)) salesreturns,
78
+ date_dim,
79
+ web_site
80
+ WHERE date_sk = d_date_sk
81
+ AND d_date BETWEEN cast('1998-08-04' AS date) AND (cast('1998-08-04' AS date) + 14 days)
82
+ AND wsr_web_site_sk = web_site_sk
83
+ GROUP BY web_site_id)
84
+ SELECT channel ,
85
+ id ,
86
+ sum(sales) AS sales ,
87
+ sum(RETURNS) AS RETURNS ,
88
+ sum(profit) AS profit
89
+ FROM
90
+ (SELECT 'store channel' AS channel ,
91
+ 'store' || s_store_id AS id ,
92
+ sales ,
93
+ RETURNS ,
94
+ (profit - profit_loss) AS profit
95
+ FROM ssr
96
+ UNION ALL SELECT 'catalog channel' AS channel ,
97
+ 'catalog_page' || cp_catalog_page_id AS id ,
98
+ sales ,
99
+ RETURNS ,
100
+ (profit - profit_loss) AS profit
101
+ FROM csr
102
+ UNION ALL SELECT 'web channel' AS channel ,
103
+ 'web_site' || web_site_id AS id ,
104
+ sales ,
105
+ RETURNS ,
106
+ (profit - profit_loss) AS profit
107
+ FROM wsr) x
108
+ GROUP BY ROLLUP (channel,
109
+ id)
110
+ ORDER BY channel ,
111
+ id
112
+ LIMIT 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
TPC-DS/queries/query50.sql CHANGED
@@ -1,56 +1,67 @@
1
- select
2
- s_store_name
3
- ,s_company_id
4
- ,s_street_number
5
- ,s_street_name
6
- ,s_street_type
7
- ,s_suite_number
8
- ,s_city
9
- ,s_county
10
- ,s_state
11
- ,s_zip
12
- ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"
13
- ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and
14
- (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"
15
- ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and
16
- (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"
17
- ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
18
- (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"
19
- ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as ">120 days"
20
- from
21
- store_sales
22
- ,store_returns
23
- ,store
24
- ,date_dim d1
25
- ,date_dim d2
26
- where
27
- d2.d_year = 2000
28
- and d2.d_moy = 9
29
- and ss_ticket_number = sr_ticket_number
30
- and ss_item_sk = sr_item_sk
31
- and ss_sold_date_sk = d1.d_date_sk
32
- and sr_returned_date_sk = d2.d_date_sk
33
- and ss_customer_sk = sr_customer_sk
34
- and ss_store_sk = s_store_sk
35
- group by
36
- s_store_name
37
- ,s_company_id
38
- ,s_street_number
39
- ,s_street_name
40
- ,s_street_type
41
- ,s_suite_number
42
- ,s_city
43
- ,s_county
44
- ,s_state
45
- ,s_zip
46
- order by s_store_name
47
- ,s_company_id
48
- ,s_street_number
49
- ,s_street_name
50
- ,s_street_type
51
- ,s_suite_number
52
- ,s_city
53
- ,s_county
54
- ,s_state
55
- ,s_zip
56
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT s_store_name ,
2
+ s_company_id ,
3
+ s_street_number ,
4
+ s_street_name ,
5
+ s_street_type ,
6
+ s_suite_number ,
7
+ s_city ,
8
+ s_county ,
9
+ s_state ,
10
+ s_zip ,
11
+ sum(CASE
12
+ WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1
13
+ ELSE 0
14
+ END) AS "30 days" ,
15
+ sum(CASE
16
+ WHEN (sr_returned_date_sk - ss_sold_date_sk > 30)
17
+ AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1
18
+ ELSE 0
19
+ END) AS "31-60 days" ,
20
+ sum(CASE
21
+ WHEN (sr_returned_date_sk - ss_sold_date_sk > 60)
22
+ AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1
23
+ ELSE 0
24
+ END) AS "61-90 days" ,
25
+ sum(CASE
26
+ WHEN (sr_returned_date_sk - ss_sold_date_sk > 90)
27
+ AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1
28
+ ELSE 0
29
+ END) AS "91-120 days" ,
30
+ sum(CASE
31
+ WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1
32
+ ELSE 0
33
+ END) AS ">120 days"
34
+ FROM store_sales ,
35
+ store_returns ,
36
+ store ,
37
+ date_dim d1 ,
38
+ date_dim d2
39
+ WHERE d2.d_year = 2000
40
+ AND d2.d_moy = 9
41
+ AND ss_ticket_number = sr_ticket_number
42
+ AND ss_item_sk = sr_item_sk
43
+ AND ss_sold_date_sk = d1.d_date_sk
44
+ AND sr_returned_date_sk = d2.d_date_sk
45
+ AND ss_customer_sk = sr_customer_sk
46
+ AND ss_store_sk = s_store_sk
47
+ GROUP BY s_store_name ,
48
+ s_company_id ,
49
+ s_street_number ,
50
+ s_street_name ,
51
+ s_street_type ,
52
+ s_suite_number ,
53
+ s_city ,
54
+ s_county ,
55
+ s_state ,
56
+ s_zip
57
+ ORDER BY s_store_name ,
58
+ s_company_id ,
59
+ s_street_number ,
60
+ s_street_name ,
61
+ s_street_type ,
62
+ s_suite_number ,
63
+ s_city ,
64
+ s_county ,
65
+ s_state ,
66
+ s_zip
67
+ LIMIT 100;
TPC-DS/queries/query51.sql CHANGED
@@ -1,42 +1,52 @@
1
- WITH web_v1 as (
2
- select
3
- ws_item_sk item_sk, d_date,
4
- sum(sum(ws_sales_price))
5
- over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
6
- from web_sales
7
- ,date_dim
8
- where ws_sold_date_sk=d_date_sk
9
- and d_month_seq between 1212 and 1212+11
10
- and ws_item_sk is not NULL
11
- group by ws_item_sk, d_date),
12
- store_v1 as (
13
- select
14
- ss_item_sk item_sk, d_date,
15
- sum(sum(ss_sales_price))
16
- over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
17
- from store_sales
18
- ,date_dim
19
- where ss_sold_date_sk=d_date_sk
20
- and d_month_seq between 1212 and 1212+11
21
- and ss_item_sk is not NULL
22
- group by ss_item_sk, d_date)
23
- select *
24
- from (select item_sk
25
- ,d_date
26
- ,web_sales
27
- ,store_sales
28
- ,max(web_sales)
29
- over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
30
- ,max(store_sales)
31
- over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
32
- from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
33
- ,case when web.d_date is not null then web.d_date else store.d_date end d_date
34
- ,web.cume_sales web_sales
35
- ,store.cume_sales store_sales
36
- from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
37
- and web.d_date = store.d_date)
38
- )x )y
39
- where web_cumulative > store_cumulative
40
- order by item_sk
41
- ,d_date
42
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
1
+ WITH web_v1 AS
2
+ (SELECT ws_item_sk item_sk,
3
+ d_date,
4
+ sum(sum(ws_sales_price)) OVER (PARTITION BY ws_item_sk
5
+ ORDER BY d_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cume_sales
6
+ FROM web_sales ,
7
+ date_dim
8
+ WHERE ws_sold_date_sk=d_date_sk
9
+ AND d_month_seq BETWEEN 1212 AND 1212+11
10
+ AND ws_item_sk IS NOT NULL
11
+ GROUP BY ws_item_sk,
12
+ d_date),
13
+ store_v1 AS
14
+ (SELECT ss_item_sk item_sk,
15
+ d_date,
16
+ sum(sum(ss_sales_price)) OVER (PARTITION BY ss_item_sk
17
+ ORDER BY d_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) cume_sales
18
+ FROM store_sales ,
19
+ date_dim
20
+ WHERE ss_sold_date_sk=d_date_sk
21
+ AND d_month_seq BETWEEN 1212 AND 1212+11
22
+ AND ss_item_sk IS NOT NULL
23
+ GROUP BY ss_item_sk,
24
+ d_date)
25
+ SELECT *
26
+ FROM
27
+ (SELECT item_sk ,
28
+ d_date ,
29
+ web_sales ,
30
+ store_sales ,
31
+ max(web_sales) OVER (PARTITION BY item_sk
32
+ ORDER BY d_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) web_cumulative ,
33
+ max(store_sales) OVER (PARTITION BY item_sk
34
+ ORDER BY d_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) store_cumulative
35
+ FROM
36
+ (SELECT CASE
37
+ WHEN web.item_sk IS NOT NULL THEN web.item_sk
38
+ ELSE store.item_sk
39
+ END item_sk ,
40
+ CASE
41
+ WHEN web.d_date IS NOT NULL THEN web.d_date
42
+ ELSE store.d_date
43
+ END d_date ,
44
+ web.cume_sales web_sales ,
45
+ store.cume_sales store_sales
46
+ FROM web_v1 web
47
+ FULL OUTER JOIN store_v1 store ON (web.item_sk = store.item_sk
48
+ AND web.d_date = store.d_date))x)y
49
+ WHERE web_cumulative > store_cumulative
50
+ ORDER BY item_sk ,
51
+ d_date
52
+ LIMIT 100;
TPC-DS/queries/query52.sql CHANGED
@@ -1,19 +1,19 @@
1
- select dt.d_year
2
- ,item.i_brand_id brand_id
3
- ,item.i_brand brand
4
- ,sum(ss_ext_sales_price) ext_price
5
- from date_dim dt
6
- ,store_sales
7
- ,item
8
- where dt.d_date_sk = store_sales.ss_sold_date_sk
9
- and store_sales.ss_item_sk = item.i_item_sk
10
- and item.i_manager_id = 1
11
- and dt.d_moy=12
12
- and dt.d_year=1998
13
- group by dt.d_year
14
- ,item.i_brand
15
- ,item.i_brand_id
16
- order by dt.d_year
17
- ,ext_price desc
18
- ,brand_id
19
- limit 100 ;
 
1
+ SELECT dt.d_year ,
2
+ item.i_brand_id brand_id ,
3
+ item.i_brand brand ,
4
+ sum(ss_ext_sales_price) ext_price
5
+ FROM date_dim dt ,
6
+ store_sales ,
7
+ item
8
+ WHERE dt.d_date_sk = store_sales.ss_sold_date_sk
9
+ AND store_sales.ss_item_sk = item.i_item_sk
10
+ AND item.i_manager_id = 1
11
+ AND dt.d_moy=12
12
+ AND dt.d_year=1998
13
+ GROUP BY dt.d_year ,
14
+ item.i_brand ,
15
+ item.i_brand_id
16
+ ORDER BY dt.d_year ,
17
+ ext_price DESC ,
18
+ brand_id
19
+ LIMIT 100 ;
TPC-DS/queries/query53.sql CHANGED
@@ -1,25 +1,47 @@
1
- select * from
2
- (select i_manufact_id,
3
- sum(ss_sales_price) sum_sales,
4
- avg(sum(ss_sales_price)) over (partition by i_manufact_id) avg_quarterly_sales
5
- from item, store_sales, date_dim, store
6
- where ss_item_sk = i_item_sk and
7
- ss_sold_date_sk = d_date_sk and
8
- ss_store_sk = s_store_sk and
9
- 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
10
- ((i_category in ('Books','Children','Electronics') and
11
- i_class in ('personal','portable','reference','self-help') and
12
- i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7',
13
- 'exportiunivamalg #9','scholaramalgamalg #9'))
14
- or(i_category in ('Women','Music','Men') and
15
- i_class in ('accessories','classical','fragrances','pants') and
16
- i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1',
17
- 'importoamalg #1')))
18
- group by i_manufact_id, d_qoy ) tmp1
19
- where case when avg_quarterly_sales > 0
20
- then abs (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales
21
- else null end > 0.1
22
- order by avg_quarterly_sales,
23
- sum_sales,
24
- i_manufact_id
25
- limit 100;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SELECT *
2
+ FROM
3
+ (SELECT i_manufact_id,
4
+ sum(ss_sales_price) sum_sales,
5
+ avg(sum(ss_sales_price)) OVER (PARTITION BY i_manufact_id) avg_quarterly_sales
6
+ FROM item,
7
+ store_sales,
8
+ date_dim,
9
+ store
10
+ WHERE ss_item_sk = i_item_sk
11
+ AND ss_sold_date_sk = d_date_sk
12
+ AND ss_store_sk = s_store_sk
13
+ AND d_month_seq IN (1212,
14
+ 1212+1,
15
+ 1212+2,
16
+ 1212+3,
17
+ 1212+4,
18
+ 1212+5,
19
+ 1212+6,
20
+ 1212+7,
21
+ 1212+8,
22
+ 1212+9,
23
+ 1212+10,
24
+ 1212+11)
25
+ AND ((i_category IN ('Books',
26
+ 'Children',
27
+ 'Electronics')
28
+ AND i_class IN ('personal',
29
+ 'portable',
30
+ 'reference',
31
+ 'self-help')
32
+ AND i_brand IN ('scholaramalgamalg #14',
33
+ 'scholaramalgamalg #7',
34
+ 'exportiunivamalg #9',
35
+ 'scholaramalgamalg #9')) or(i_category IN ('Women', 'Music', 'Men')
36
+ AND i_class IN ('accessories', 'classical', 'fragrances', 'pants')
37
+ AND i_brand IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')))
38
+ GROUP BY i_manufact_id,
39
+ d_qoy) tmp1
40
+ WHERE CASE
41
+ WHEN avg_quarterly_sales > 0 THEN ABS (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales
42
+ ELSE NULL
43
+ END > 0.1
44
+ ORDER BY avg_quarterly_sales,
45
+ sum_sales,
46
+ i_manufact_id
47
+ LIMIT 100;
TPC-DS/queries/query54.sql CHANGED
@@ -1,53 +1,56 @@
1
- with my_customers as (
2
- select distinct c_customer_sk
3
- , c_current_addr_sk
4
- from
5
- ( select cs_sold_date_sk sold_date_sk,
6
- cs_bill_customer_sk customer_sk,
7
- cs_item_sk item_sk
8
- from catalog_sales
9
- union all
10
- select ws_sold_date_sk sold_date_sk,
11
- ws_bill_customer_sk customer_sk,
12
- ws_item_sk item_sk
13
- from web_sales
14
- ) cs_or_ws_sales,
15
- item,
16
- date_dim,
17
- customer
18
- where sold_date_sk = d_date_sk
19
- and item_sk = i_item_sk
20
- and i_category = 'Jewelry'
21
- and i_class = 'consignment'
22
- and c_customer_sk = cs_or_ws_sales.customer_sk
23
- and d_moy = 3
24
- and d_year = 1999
25
- )
26
- , my_revenue as (
27
- select c_customer_sk,
28
- sum(ss_ext_sales_price) as revenue
29
- from my_customers,
30
  store_sales,
31
  customer_address,
32
  store,
33
  date_dim
34
- where c_current_addr_sk = ca_address_sk
35
- and ca_county = s_county
36
- and ca_state = s_state
37
- and ss_sold_date_sk = d_date_sk
38
- and c_customer_sk = ss_customer_sk
39
- and d_month_seq between (select distinct d_month_seq+1
40
- from date_dim where d_year = 1999 and d_moy = 3)
41
- and (select distinct d_month_seq+3
42
- from date_dim where d_year = 1999 and d_moy = 3)
43
- group by c_customer_sk
44
- )
45
- , segments as
46
- (select cast((revenue/50) as int) as segment
47
- from my_revenue
48
- )
49
- select segment, count(*) as num_customers, segment*50 as segment_base
50
- from segments
51
- group by segment
52
- order by segment, num_customers
53
- limit 100;
 
 
 
 
 
 
 
1
+ WITH my_customers AS
2
+ (SELECT DISTINCT c_customer_sk ,
3
+ c_current_addr_sk
4
+ FROM
5
+ (SELECT cs_sold_date_sk sold_date_sk,
6
+ cs_bill_customer_sk customer_sk,
7
+ cs_item_sk item_sk
8
+ FROM catalog_sales
9
+ UNION ALL SELECT ws_sold_date_sk sold_date_sk,
10
+ ws_bill_customer_sk customer_sk,
11
+ ws_item_sk item_sk
12
+ FROM web_sales) cs_or_ws_sales,
13
+ item,
14
+ date_dim,
15
+ customer
16
+ WHERE sold_date_sk = d_date_sk
17
+ AND item_sk = i_item_sk
18
+ AND i_category = 'Jewelry'
19
+ AND i_class = 'consignment'
20
+ AND c_customer_sk = cs_or_ws_sales.customer_sk
21
+ AND d_moy = 3
22
+ AND d_year = 1999) ,
23
+ my_revenue AS
24
+ (SELECT c_customer_sk,
25
+ sum(ss_ext_sales_price) AS revenue
26
+ FROM my_customers,
 
 
 
27
  store_sales,
28
  customer_address,
29
  store,
30
  date_dim
31
+ WHERE c_current_addr_sk = ca_address_sk
32
+ AND ca_county = s_county
33
+ AND ca_state = s_state
34
+ AND ss_sold_date_sk = d_date_sk
35
+ AND c_customer_sk = ss_customer_sk
36
+ AND d_month_seq BETWEEN
37
+ (SELECT DISTINCT d_month_seq+1
38
+ FROM date_dim
39
+ WHERE d_year = 1999
40
+ AND d_moy = 3) AND
41
+ (SELECT DISTINCT d_month_seq+3
42
+ FROM date_dim
43
+ WHERE d_year = 1999
44
+ AND d_moy = 3)
45
+ GROUP BY c_customer_sk) ,
46
+ segments AS
47
+ (SELECT cast((revenue/50) AS int) AS SEGMENT
48
+ FROM my_revenue)
49
+ SELECT SEGMENT,
50
+ count(*) AS num_customers,
51
+ SEGMENT*50 AS segment_base
52
+ FROM segments
53
+ GROUP BY SEGMENT
54
+ ORDER BY SEGMENT,
55
+ num_customers
56
+ LIMIT 100;