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Asked: 2026-05-25T09:42:41+00:00

I have a table with ~3M rows. The rows are date , time ,

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I have a table with ~3M rows. The rows are date, time, msec, and some other columns with int data. Some unknown fraction of these rows are considered ‘invalid’ based on their existence in a separate table outages (based on date ranges).

Currently the query does a select * and then uses a huge WHERE to remove the invalid date ranges ( lots of ‘and not ( RecordDate >’2008-08-05’ and RecordDate < ‘2008-08-10′ )’) and so on. This blows away any chance of using an index.

Im looking for a better way to limit the results. As it stands now the query takes several minutes to run.

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1 Answer

  1. Editorial Team
    DELETE b FROM bigtable b
INNER JOIN outages o ON (b.`date` BETWEEN o.datestart AND o.dateend)
WHERE (1=1)  //In some modes MySQL demands a `where` clause or it will not run.

    Make sure you have an index on all fields involved in the query.

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