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Home/ Questions/Q 7765661
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Editorial Team
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Editorial Team
Asked: June 1, 20262026-06-01T15:13:14+00:00 2026-06-01T15:13:14+00:00

suppose I have SELECT * FROM table t GROUP BY j HAVING condition_one OR

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suppose I have

SELECT * FROM table t
GROUP BY j
HAVING condition_one OR condition_two OR condition_three

how can I modify the query such that it returns the COUNT of how many rows satisfied the three different conditions in having clause

so ideally the output would have something like:

condition_one: 100
condition_two: 200
condition_three: 300

whereby there are 100 items satisfying condition_one, 200 satisfying condition_two etc

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-01T15:13:16+00:00Added an answer on June 1, 2026 at 3:13 pm

    If you use a having clause you will actually loose those records. So you can’t use a having clause. Apart from that, if you use ORs, then you won’t have which condition resulted in true.

    So, what you should use is a derived table that holds all grouped values. Once you have that, query that table to get the counts of each of them. However, that solution will give you three columns instead of three rows. Let’s go for that one that is the easier one:

    SELECT
        SUM(condition_one) condition_one,
        SUM(condition_two) condition_two,
        SUM(condition_three) condition_three
    FROM (
        SELECT * FROM t
        GROUP BY j
    ) final
    

    Note that condition_one is really a condition, such as age = 23, but conditions in MySQL return 0 for false and 1 for true so you can actually SUM conditions.

    Now, if you want to have them in rows, that’s a little bit more complicated because you’ll have to UNION each value independently:

    SELECT 'condition_one: ' Condition, SUM(condition_one) ConditionCount FROM (
        SELECT * FROM t GROUP BY j
    ) s1
    UNION ALL
    SELECT 'condition_two: ', SUM(condition_two) FROM (
        SELECT * FROM t GROUP BY j
    ) s2
    UNION ALL
    SELECT 'condition_three: ', SUM(condition_three) FROM (
        SELECT * FROM t GROUP BY j
    ) s3
    

    Or at least, that’s the best way I can think of right now. Hope this helps!

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