| set hive.mapred.mode=nonstrict; |
| -- start query 1 in stream 0 using template query50.tpl and seed 1819994127 |
| explain cbo |
| 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; |
| |
| -- end query 1 in stream 0 using template query50.tpl |
