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Home/ Questions/Q 6008259
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Editorial Team
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Editorial Team
Asked: May 23, 20262026-05-23T01:47:58+00:00 2026-05-23T01:47:58+00:00

Suppose we have a table Users that has only one column UserId which is

  • 0

Suppose we have a table Users that has only one column UserId which is the primary key.

We have a second table Events that has three columns, EventId, UserId and Status. A Status is a BOOL NOT NULL. UserId is indexed but not unique.

The table Status has the foreign key constraint UserId on Users.UserId.

Now I want to query all the UserIds for which there is no row in Events such that Event.Status = TRUE. Is there a way to do this with JOIN? (One statement only preferred)

For example:

Users
--------
1
2
3

Events
--------
EventId   UserId  Status
1         1       FALSE
2         1       TRUE
3         2       FALSE
4         2       FALSE

Then the query I’m looking for should return:

UserId
-------
2
3

Thanks!

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-23T01:47:58+00:00Added an answer on May 23, 2026 at 1:47 am

    Surprisingly, a subselect is a reasonably efficient way to do this on MySQL. So:

    SELECT UserId
    FROM   Users
    WHERE  UserId NOT IN (
           SELECT DISTINCT UserID
           FROM   Events
           WHERE  Status = TRUE
           )
    

    Note that I’m using DISTINCT there, which may not be a perfect fit for the referenced article. Mind you, you may be fine with DISTINCT, or with leaving it off (but I don’t know whether that would result in a problematic interim data set, or if MySQL is smart about it).

    Or you can do the LEFT JOIN / IS NULL version, which doesn’t have the DISTINCT issue:

    SELECT    Users.UserId
    FROM      Users
    LEFT JOIN Events
              ON Events.UserId = Users.UserId AND Events.Status = TRUE
    WHERE     Events.UserId IS NULL
    

    See the link above for a discussion, but MySQL provides basically the same performance in both cases (whereas using NOT EXISTS rather than NOT IN would be markedly less efficient).

    I’d try both (or all three, if you try both with and without DISTINCT on the first one) and see what performs best with your real-life data.

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