From: | Masahiko Sawada <sawada(dot)mshk(at)gmail(dot)com> |
---|---|
To: | David Rowley <dgrowleyml(at)gmail(dot)com> |
Cc: | Dean Rasheed <dean(dot)a(dot)rasheed(at)gmail(dot)com>, Andres Freund <andres(at)anarazel(dot)de>, Jakub Wartak <jakub(dot)wartak(at)enterprisedb(dot)com>, Andrew Dunstan <andrew(at)dunslane(dot)net>, Peter Eisentraut <peter(at)eisentraut(dot)org>, PostgreSQL Hackers <pgsql-hackers(at)lists(dot)postgresql(dot)org> |
Subject: | Re: Performance degradation on concurrent COPY into a single relation in PG16. |
Date: | 2023-08-07 14:05:39 |
Message-ID: | CAD21AoC0GvCEZbDreoAcj=i0LjNCQePQbh_cxCuBKezYgYwmTA@mail.gmail.com |
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Lists: | pgsql-hackers |
On Mon, Aug 7, 2023 at 3:16 PM David Rowley <dgrowleyml(at)gmail(dot)com> wrote:
>
> On Wed, 2 Aug 2023 at 13:35, David Rowley <dgrowleyml(at)gmail(dot)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.
I've run the same benchmark that I used for the first report:
* PG15 (cb2ae5741f)
nclients = 1, execution time = 15.213
nclients = 2, execution time = 9.470
nclients = 4, execution time = 6.508
nclients = 8, execution time = 4.526
nclients = 16, execution time = 3.788
nclients = 32, execution time = 3.837
nclients = 64, execution time = 4.286
nclients = 128, execution time = 4.388
nclients = 256, execution time = 4.333
* PG16 (67a007dc0c)
nclients = 1, execution time = 14.494
nclients = 2, execution time = 12.962
nclients = 4, execution time = 17.757
nclients = 8, execution time = 10.865
nclients = 16, execution time = 7.371
nclients = 32, execution time = 4.929
nclients = 64, execution time = 2.212
nclients = 128, execution time = 2.020
nclients = 256, execution time = 2.196
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.
Regards,
[1] https://www.postgresql.org/message-id/20230711185159.v2j5vnyrtodnwhgz%40awork3.anarazel.de
--
Masahiko Sawada
Amazon Web Services: https://aws.amazon.com
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