SQL Optimization: Order of WHERE Conditions
When crafting SQL queries, it's essential to consider the performance implications of different clause orders. In the context of WHERE conditions, does the order matter?
Consider the following example:
SELECT * FROM books WHERE author='Bill' AND category_id=1 SELECT * FROM books WHERE category_id=1 AND author='Bill'
Some may speculate that filtering records first by category_id (an index key) and then by author would be faster than the reverse order. However, this is not the case.
In modern SQL engines, the order of WHERE conditions does not affect performance significantly. The optimizer analyzes the query and determines the most efficient way to retrieve data based on factors such as indexes and column selectivity.
Even if a covering index existed on both the category_id and author columns, either WHERE condition would trigger its use, provided there were no other more optimal options for the query.
Therefore, when structuring WHERE conditions, focus on readability and maintainability rather than optimizing for performance through clause order. SQL engines are sophisticated enough to handle the optimization automatically and efficiently.
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