2326. Performance: Find duplicate expensive queries in an application log table. — Python + FastAPI + SQLAlchemy

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In a performance module, solve this as a production problem using Python + FastAPI + SQLAlchemy: Find duplicate expensive queries in an application log table. Provide the SQL, explain the logic, show safe application integration, and mention failure/edge cases.
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Questions & Answers

Answer & Explanation

4 Answers
Verified Correct Answer

Option A

SELECT query_hash,COUNT(*) executions,AVG(duration_ms) avg_ms,MAX(duration_ms) max_ms FROM query_log GROUP BY query_hash ORDER BY avg_ms DESC LIMIT 20;
Additional Explanation
Application-level query logs can identify repeated slow patterns before database tuning.
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Editorial Answer 1
Verified

Option B

SELECT * FROM table_name;
Additional Explanation
Incorrect: it does not satisfy the stated business rule and can return/change unintended data.
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Editorial Answer 2
Verified

Option C

UPDATE table_name SET status='active';
Additional Explanation
Incorrect: it does not satisfy the stated business rule and can return/change unintended data.
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Editorial Answer 3
Verified

Option D

DELETE FROM table_name;
Additional Explanation
Incorrect: it does not satisfy the stated business rule and can return/change unintended data.
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Editorial Answer 4