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I agree that the last few questions are challenging. Excellent work. 69/70
| ,DENSE_RANK() OVER (PARTITION BY customer_id ORDER BY market_date ASC) AS visit_num | ||
| FROM customer_purchases | ||
| WHERE market_date < '2022-04-29'; | ||
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| FROM customer_purchases | ||
| ) x | ||
| WHERE x.visit_num = 1; | ||
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| HINT: If you don't specify a WHERE clause, you are going to have a bad time.*/ | ||
| --QUERY 11 | ||
| DELETE FROM temp.product_units | ||
| WHERE product_id == 8 AND snapshot_timestamp == '2026-04-07 09:38:50'; |
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Your query correctly filters by product ID and uses a timestamp condition. Think about how to select the oldest matching row dynamically without hard coding. You can find the oldest record using MIN(snapshot_timestamp)) and delete only that row
anjali-deshpande-hub
approved these changes
Apr 9, 2026
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
submitting assignment 2
What did you learn from the changes you have made?
how to combine pieces of everything we have learned in sql to create more complex queries
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
no
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
the last few questions were very challenging and also very open-ended in how they could be approached.
in particular i was confused about the question where an older CURRENT_TIMESTAMP was deleted - it seemed impossible to replicate as each time the timestamps would change.
How were these changes tested?
manual processing of some examples from raw data
A reference to a related issue in your repository (if applicable)
Checklist