Re: Performance degradation on concurrent COPY into a single relation in PG16.
От | Andres Freund |
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Тема | Re: Performance degradation on concurrent COPY into a single relation in PG16. |
Дата | |
Msg-id | 20230807181026.encacqh7w7svsqiy@awork3.anarazel.de обсуждение исходный текст |
Ответ на | Re: Performance degradation on concurrent COPY into a single relation in PG16. (Masahiko Sawada <sawada.mshk@gmail.com>) |
Ответы |
Re: Performance degradation on concurrent COPY into a single relation in PG16.
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Список | pgsql-hackers |
Hi, On 2023-08-07 23:05:39 +0900, Masahiko Sawada wrote: > On Mon, Aug 7, 2023 at 3:16 PM David Rowley <dgrowleyml@gmail.com> wrote: > > > > On Wed, 2 Aug 2023 at 13:35, David Rowley <dgrowleyml@gmail.com> wrote: > > > So, it looks like this item can be closed off. I'll hold off from > > > doing that for a few days just in case anyone else wants to give > > > feedback or test themselves. > > > > Alright, closed. > > IIUC the problem with multiple concurrent COPY is not resolved yet. Yea - it was just hard to analyze until the other regressions were fixed. > The result of nclients = 1 became better thanks to recent fixes, but > there still seems to be the performance regression at nclient = 2~16 > (on RHEL 8 and 9). Andres reported[1] that after changing > MAX_BUFFERED_TUPLES to 5000 the numbers became a lot better but it > would not be the solution, as he mentioned. I think there could be a quite simple fix: Track by how much we've extended the relation previously in the same bistate. If we already extended by many blocks, it's very likey that we'll do so further. A simple prototype patch attached. The results for me are promising. I copied a smaller file [1], to have more accurate throughput results at shorter runs (15s). HEAD before: clients tps 1 41 2 76 4 136 8 248 16 360 32 375 64 317 HEAD after: clients tps 1 43 2 80 4 155 8 280 16 369 32 405 64 344 Any chance you could your benchmark? I don't see as much of a regression vs 16 as you... Greetings, Andres Freund [1] COPY (SELECT generate_series(1, 100000)) TO '/tmp/data.copy';
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