Re: Use COPY for populating all pgbench tables
От | David Rowley |
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Тема | Re: Use COPY for populating all pgbench tables |
Дата | |
Msg-id | CAApHDvqP4k0r+HPcbG_TNDUSa2be+813anX4v_KEVR6SyzZi3A@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: Use COPY for populating all pgbench tables ("Tristan Partin" <tristan@neon.tech>) |
Ответы |
Re: Use COPY for populating all pgbench tables
Re: Use COPY for populating all pgbench tables Re: Use COPY for populating all pgbench tables |
Список | pgsql-hackers |
On Thu, 8 Jun 2023 at 07:16, Tristan Partin <tristan@neon.tech> wrote: > > master: > > 50000000 of 50000000 tuples (100%) done (elapsed 260.93 s, remaining 0.00 s)) > vacuuming... > creating primary keys... > done in 1414.26 s (drop tables 0.20 s, create tables 0.82 s, client-side generate 1280.43 s, vacuum 2.55 s, primary keys130.25 s). > > patchset: > > 50000000 of 50000000 tuples (100%) of pgbench_accounts done (elapsed 243.82 s, remaining 0.00 s)) > vacuuming... > creating primary keys... > done in 375.66 s (drop tables 0.14 s, create tables 0.73 s, client-side generate 246.27 s, vacuum 2.77 s, primary keys125.75 s). I've also previously found pgbench -i to be slow. It was a while ago, and IIRC, it was due to the printfPQExpBuffer() being a bottleneck inside pgbench. On seeing your email, it makes me wonder if PG16's hex integer literals might help here. These should be much faster to generate in pgbench and also parse on the postgres side. I wrote a quick and dirty patch to try that and I'm not really getting the same performance increases as I'd have expected. I also tested with your patch too and it does not look that impressive either when running pgbench on the same machine as postgres. pgbench copy speedup ** master drowley@amd3990x:~$ pgbench -i -s 1000 postgres 100000000 of 100000000 tuples (100%) done (elapsed 74.15 s, remaining 0.00 s) vacuuming... creating primary keys... done in 95.71 s (drop tables 0.00 s, create tables 0.01 s, client-side generate 74.45 s, vacuum 0.12 s, primary keys 21.13 s). ** David's Patched drowley@amd3990x:~$ pgbench -i -s 1000 postgres 100000000 of 100000000 tuples (100%) done (elapsed 69.64 s, remaining 0.00 s) vacuuming... creating primary keys... done in 90.22 s (drop tables 0.00 s, create tables 0.01 s, client-side generate 69.91 s, vacuum 0.12 s, primary keys 20.18 s). ** Tristan's patch drowley@amd3990x:~$ pgbench -i -s 1000 postgres 100000000 of 100000000 tuples (100%) of pgbench_accounts done (elapsed 77.44 s, remaining 0.00 s) vacuuming... creating primary keys... done in 98.64 s (drop tables 0.00 s, create tables 0.01 s, client-side generate 77.47 s, vacuum 0.12 s, primary keys 21.04 s). I'm interested to see what numbers you get. You'd need to test on PG16 however. I left the old code in place to generate the decimal numbers for versions < 16. David
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