Re: near identical queries have vastly different plans
От | Tom Lane |
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Тема | Re: near identical queries have vastly different plans |
Дата | |
Msg-id | 6960.1309560409@sss.pgh.pa.us обсуждение исходный текст |
Ответ на | near identical queries have vastly different plans (Samuel Gendler <sgendler@ideasculptor.com>) |
Ответы |
Re: near identical queries have vastly different plans
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Список | pgsql-performance |
Samuel Gendler <sgendler@ideasculptor.com> writes: > I've got 2 nearly identical queries that perform incredibly differently. The reason the slow query sucks is that the planner is estimating at most one "s" row will match that complicated AND/OR condition, so it goes for a nestloop. In the "fast" query there is another complicated AND/OR filter condition, but it's not so far off on the number of matching rows, so you get a better plan choice. Can't tell from the given information whether the better guess is pure luck, or there's some difference in the column statistics that makes it able to get a better estimate for that. In general, though, you're skating on thin ice anytime you ask the planner to derive statistical estimates about combinations of correlated columns --- and these evidently are correlated. Think about refactoring the table definitions so that you're only testing a single column, which ANALYZE will be able to provide stats about. Or maybe you can express it as a test on a computed expression, which you could then keep an index on, prompting ANALYZE to gather stats about that. regards, tom lane
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