Re: anti-join chosen even when slower than old plan
От | Tom Lane |
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Тема | Re: anti-join chosen even when slower than old plan |
Дата | |
Msg-id | 19088.1289501929@sss.pgh.pa.us обсуждение исходный текст |
Ответ на | Re: anti-join chosen even when slower than old plan (Tom Lane <tgl@sss.pgh.pa.us>) |
Ответы |
Re: anti-join chosen even when slower than old plan
Re: anti-join chosen even when slower than old plan Re: anti-join chosen even when slower than old plan |
Список | pgsql-performance |
I wrote: > I do think that something based around a settable-per-table caching > percentage might be a reasonable way to proceed. BTW ... on reflection it seems that this would *not* solve the use-case Kevin described at the start of this thread. What he's got AIUI is some large tables whose recent entries are well-cached, and a lot of queries that tend to hit that well-cached portion, plus a few queries that hit the whole table and so see largely-not-cached behavior. We can't represent that very well with a caching knob at the table level. Either a high or a low setting will be wrong for one set of queries or the other. It might work all right if he were to partition the table and then have a different caching value attached to the currently-latest partition, but that doesn't sound exactly maintenance-free either. Also, that only works with the current statically-planned approach to partitioned tables. I think where we're trying to go with partitioning is that the planner doesn't consider the individual partitions, but the executor just hits the right one at runtime --- so cost modifiers attached to individual partitions aren't going to work in that environment. The most practical solution for his case still seems to be to twiddle some GUC or other locally in the maintenance scripts that do the full-table-scan queries. Unfortunately we don't have an equivalent of per-session SET (much less SET LOCAL) for per-relation attributes. Not sure if we want to go there. regards, tom lane
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