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  1. SELECT
  2. ChangedDateTime,
  3. ROW_NUMBER() OVER(PARTITION BY ProductCode, ChangedDateTime ORDER BY ChangedDateTime DESC) change_id,
  4. ProductCode
  5. FROM `dataset.table`
  6.  
  7. Row ChangedDateTime change_id ProductCode
  8. 1 2019-06-06 08:08:01.510 UTC 1 A11
  9. 2 2019-06-05 08:08:01.510 UTC 2 A11
  10. 3 2019-06-04 16:02:13.087 UTC 1 A11
  11. 4 2019-06-05 08:08:01.510 UTC 1 A110
  12. 5 2019-06-04 16:02:13.087 UTC 1 A110
  13. 6 2019-06-04 14:36:54.930 UTC 1 A110
  14.  
  15. Row ChangedDateTime change_id ProductCode
  16. 1 2019-06-06 08:08:01.510 UTC 1 A11
  17. 2 2019-06-05 08:08:01.510 UTC 3 A11
  18. 3 2019-06-04 16:02:13.087 UTC 2 A11
  19. 4 2019-06-05 08:08:01.510 UTC 1 A110
  20. 5 2019-06-04 16:02:13.087 UTC 2 A110
  21. 6 2019-06-04 14:36:54.930 UTC 2 A110
  22.  
  23. SELECT
  24. ChangedDateTime,
  25. ROW_NUMBER() OVER(PARTITION BY ProductCode ORDER BY ChangedDateTime DESC) change_id,
  26. ProductCode
  27. FROM `dataset.table`
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