How Do I Optimize a SQL Query with Many CASE WHEN Conditions?
In service queries, the CASE WHEN statement checks conditions. Too many unnecessary CASE WHEN statements in an SQL query can affect performance.
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SELECT SUM(CASE WHEN a > 1 THEN 1 ELSE 0 END) AS a1, SUM(CASE WHEN a > 2 THEN 1 ELSE 0 END) AS a2, ... FROM test WHERE dt = '20241225'; |
In this example, the CASE WHEN statement must run for each branch, which increases the query time and affects performance.
GaussDB(DWS) offers these optimization policies to address this issue:
Using a Temporary Result Set or Subquery
Extract the complex CASE WHEN calculations into a temporary result set or subquery. This avoids repeating the same logic in the main query.
Create a subquery to calculate the intermediate result.
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SELECT sub.a1, sub.a2 FROM ( SELECT sum(case when a > 1 then 1 else 0 end) AS a1, sum(case when a > 2 then 1 else 0 end) AS a2 FROM test WHERE dt = '20241225' ) sub; SELECT SUM(case_when_a1) as a1, SUM(case_when_a2) as a2, ... FROM ( SELECT CASE WHEN a > 1 THEN 1 ELSE 0 END AS case_when_a1, CASE WHEN a > 2 THEN 1 ELSE 0 END AS case_when_a2, ... FROM test WHERE dt = '20241225' ) AS subquery; |
Using a User-Defined Function
Encapsulate the CASE WHEN logic in a function. Then, call the function in your query instead of rewriting the CASE WHEN logic multiple times.
Create a simple function count_a_gt_value.
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CREATE OR REPLACE FUNCTION count_a_gt_value(val INT) RETURNS INT AS $$ DECLARE result INT; BEGIN SELECT sum(CASE WHEN a > val THEN 1 ELSE 0 END) INTO result FROM test WHERE dt = '20241225'; RETURN result; END; $$ LANGUAGE plpgsql; |
Use the user-defined function count_a_gt_value for query.
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SELECT count_a_gt_value(1) AS a1, count_a_gt_value(2) AS a2 FROM test; |
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