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Return order_id, status, and updated_at for the latest snapshot per order.
Result columns · in this order
order_id | Order identifier that can repeat across snapshots. |
status | Snapshot status at this update time. |
updated_at | Snapshot update timestamp. |
How to approach it
Rank snapshots, then filter to row_num = 1.
Sample input
| order_id | status | updated_at |
|---|---|---|
| 1001 | paid | 2026-01-12 09:00:00 |
| 1001 | shipped | 2026-01-13 10:00:00 |
| 1004 | paid | 2026-01-15 14:30:00 |
| 1004 | shipped | 2026-01-16 12:20:00 |
4 rows — all rows shown.
Expected output
| order_id | status | updated_at |
|---|---|---|
| 1001 | shipped | 2026-01-13 10:00:00 |
| 1002 | paid | 2026-01-12 10:30:00 |
| 1004 | shipped | 2026-01-16 12:20:00 |
3 rows — all rows shown.
Constraints
Use ROW_NUMBER partitioned by order_id and ordered by updated_at DESC. Keep row_num = 1 and order by order_id.
Expected skills
Window-function dedupe and deterministic latest-row selection.
Submit for review to find out what your query gets right, what it gets wrong, and how it compares with the best working query for this exercise.
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