From: | Josh Berkus <josh(at)agliodbs(dot)com> |
---|---|
To: | Jack Coates <jack(at)lyris(dot)com>, pgsql-performance(at)postgresql(dot)org |
Subject: | Re: tuning questions |
Date: | 2003-12-04 16:59:06 |
Message-ID: | 200312040859.06963.josh@agliodbs.com |
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Lists: | pgsql-hackers pgsql-performance |
Jack,
> The application is on another server, and does this torture test: it
> builds a large table (~6 million rows in one test, ~18 million in
> another). Rows are then pulled in chunks of 4 to 6 thousand, acted on,
> and inserted back into another table (which will of course eventually
> grow to the full size of the first).
>e tweaked shared buffers to 8192, pushed sort memory to 2048, vacuum
> memory to 8192, and effective cache size to 10000.
> /proc/sys/kernel/shmmax is set to 1600000000 and /proc/sys/fs/file-max
> is set to 65536. Ulimit -n 3192.
Have you read this?
http://www.varlena.com/varlena/GeneralBits/Tidbits/perf.html
Actually, your situation is not "worst case". For one thing, your process is
effectively single-user; this allows you to throw all of your resources at
one user. The problem is that your settings have effectively throttled PG
at a level appropriate to a many-user and/or multi-purpose system. You need
to "open them up".
For something involving massive updating/transformation like this, once you've
done the basics (see that URL above) the main settings which will affect you
are sort_mem and checkpoint_segments, both of which I'd advise jacking way up
(test by increments). Raising wal_buffers wouldn't hurt either.
Also, give some thought to running VACUUM and/or ANALYZE between segments of
your procedure. Particularly if you do updates to many rows of a table and
then query based on the changed data, it is vital to run an ANALYZE first,
and usually a good idea to run a VACUUM if it was an UPDATE or DELETE and not
an INSERT.
--
Josh Berkus
Aglio Database Solutions
San Francisco
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