MySQL - Subquery Correlation Slowing Down IN Clause Performance
The given query, which identifies duplicate rows in a database table using a subquery in the IN clause, is experiencing significant performance issues. Although the subquery itself executes quickly, the IN clause query takes considerably longer.
Reason for Slowness
The slowdown is caused by the correlated nature of the subquery. In a correlated query, the subquery references columns from the outer query, making it dependent on the outer query's execution. As a result, each row in the outer table triggers a separate execution of the subquery.
Solution
To resolve the issue, the correlated subquery can be converted into a non-correlated subquery by selecting all columns in it. This eliminates the dependency on the outer query, significantly improving performance:
SELECT * FROM ( SELECT relevant_field FROM some_table GROUP BY relevant_field HAVING COUNT(*) > 1 ) AS subquery
Final Query
The modified query will look like this:
SELECT * FROM some_table WHERE relevant_field IN ( SELECT * FROM ( SELECT relevant_field FROM some_table GROUP BY relevant_field HAVING COUNT(*) > 1 ) AS subquery )
This non-correlated query will execute much faster than the original correlated query.
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