Tianqin-Meng's picture
feat: normalize all queries with sqlparse 0.5.4 (batch 1)
d355ea1 verified
SELECT s_store_name ,
s_company_id ,
s_street_number ,
s_street_name ,
s_street_type ,
s_suite_number ,
s_city ,
s_county ,
s_state ,
s_zip ,
sum(CASE
WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1
ELSE 0
END) AS "30 days" ,
sum(CASE
WHEN (sr_returned_date_sk - ss_sold_date_sk > 30)
AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1
ELSE 0
END) AS "31-60 days" ,
sum(CASE
WHEN (sr_returned_date_sk - ss_sold_date_sk > 60)
AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1
ELSE 0
END) AS "61-90 days" ,
sum(CASE
WHEN (sr_returned_date_sk - ss_sold_date_sk > 90)
AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1
ELSE 0
END) AS "91-120 days" ,
sum(CASE
WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1
ELSE 0
END) AS ">120 days"
FROM store_sales ,
store_returns ,
store ,
date_dim d1 ,
date_dim d2
WHERE d2.d_year = 2000
AND d2.d_moy = 9
AND ss_ticket_number = sr_ticket_number
AND ss_item_sk = sr_item_sk
AND ss_sold_date_sk = d1.d_date_sk
AND sr_returned_date_sk = d2.d_date_sk
AND ss_customer_sk = sr_customer_sk
AND ss_store_sk = s_store_sk
GROUP BY s_store_name ,
s_company_id ,
s_street_number ,
s_street_name ,
s_street_type ,
s_suite_number ,
s_city ,
s_county ,
s_state ,
s_zip
ORDER BY s_store_name ,
s_company_id ,
s_street_number ,
s_street_name ,
s_street_type ,
s_suite_number ,
s_city ,
s_county ,
s_state ,
s_zip
LIMIT 100;