Re: Bogus ANALYZE results for an otherwise-unique column with many nulls
От | Dean Rasheed |
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Тема | Re: Bogus ANALYZE results for an otherwise-unique column with many nulls |
Дата | |
Msg-id | CAEZATCVQ9AGw1thJiViYWHXXZ46_p6FfDPBeyTC9BSNDz+6L6g@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: Bogus ANALYZE results for an otherwise-unique column with many nulls (Tom Lane <tgl@sss.pgh.pa.us>) |
Ответы |
Re: Bogus ANALYZE results for an otherwise-unique column with many nulls
Re: Bogus ANALYZE results for an otherwise-unique column with many nulls |
Список | pgsql-hackers |
On 5 August 2016 at 21:48, Tom Lane <tgl@sss.pgh.pa.us> wrote: > OK, thanks. What shall we do about Andreas' request to back-patch this? > I'm personally willing to do it, but there is the old bugaboo of "maybe > it will destabilize a plan that someone is happy with". > My inclination would be to back-patch it because arguably it's a bug-fix -- at the very least the old behaviour didn't match the docs for stadistinct: The number of distinct nonnull data values in the column. A value greater than zero is the actual number of distinctvalues. A value less than zero is the negative of a multiplier for the number of rows in the table; for example,a column in which values appear about twice on the average could be represented by <structfield>stadistinct</>= -0.5. Additionally, I think that example is misleading because it's only really true if there are no null values in the column. Perhaps it would help to have a more explicit example to illustrate how nulls affect stadistinct, for example: ... for example, a column in which about 80% of the values are nonnull and each nonnull value appears about twiceon average could be represented by <structfield>stadistinct</> = -0.4. Regards, Dean
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