blob: a81ee39ba01407347a56d24aa2b1d7a2b9345262 [file] [log] [blame]
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 = 2001
AND d2.d_moy = 8
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