query50.sql 1.6 KB

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  1. -- start query 1 in stream 0 using template query50.tpl and seed 1819994127
  2. select
  3. s_store_name
  4. ,s_company_id
  5. ,s_street_number
  6. ,s_street_name
  7. ,s_street_type
  8. ,s_suite_number
  9. ,s_city
  10. ,s_county
  11. ,s_state
  12. ,s_zip
  13. ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as `30 days`
  14. ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and
  15. (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as `31-60 days`
  16. ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and
  17. (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as `61-90 days`
  18. ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
  19. (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as `91-120 days`
  20. ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as `>120 days`
  21. from
  22. store_sales
  23. ,store_returns
  24. ,store
  25. ,date_dim d1
  26. ,date_dim d2
  27. where
  28. d2.d_year = 1998
  29. and d2.d_moy = 9
  30. and ss_ticket_number = sr_ticket_number
  31. and ss_item_sk = sr_item_sk
  32. and ss_sold_date_sk = d1.d_date_sk
  33. and sr_returned_date_sk = d2.d_date_sk
  34. and ss_customer_sk = sr_customer_sk
  35. and ss_store_sk = s_store_sk
  36. group by
  37. s_store_name
  38. ,s_company_id
  39. ,s_street_number
  40. ,s_street_name
  41. ,s_street_type
  42. ,s_suite_number
  43. ,s_city
  44. ,s_county
  45. ,s_state
  46. ,s_zip
  47. order 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. limit 100;
  58. -- end query 1 in stream 0 using template query50.tpl