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Re: Swappiness setting on a linux pg server

From: "Jim C(dot) Nasby" <jim(at)nasby(dot)net>
To: Tobias Brox <tobias(at)nordicbet(dot)com>
Cc: pgsql-performance(at)postgresql(dot)org
Subject: Re: Swappiness setting on a linux pg server
Date: 2006-10-19 17:00:39
Message-ID: (view raw, whole thread or download thread mbox)
Lists: pgsql-performance
On Thu, Oct 19, 2006 at 06:53:49PM +0200, Tobias Brox wrote:
> [Jim C. Nasby - Thu at 11:45:32AM -0500]
> > > > The issue with pg_xlog is you don't need bandwidth... you need super-low
> > > > latency. The best way to accomplish that is to get a battery-backed RAID
> > > > controller that you can enable write caching on.
> > > 
> > > Sounds a bit risky to me :-)
> > 
> > Well, you do need to understand what happens if the machine does lose
> > power... namely you have a limited amount of time to get power back to
> > the machine so that the controller can flush that data out. Other than
> > that, it's not very risky.
> We have burned ourself more than once due to unreliable raid controllers
> ...
Well, if you're buying unreliable hardware, there's not much you can
do... you're setting yourself up for problems.

> > quantities of memory. So in your case, 600M wouldn't be pushing things
> > much at all. Even 1G wouldn't be that out of the ordinary. Also remember
> > that the more memory for shared_buffers, the less for
> > sorting/hashes/etc. (work_mem)
> What do you mean, a high value for the shared_buffers implicates I
> can/should lower the work_mem value?  Or just that I should remember to
> have more than enough memory for both work_mem, shared_buffers and OS
> caches?  What is a sane value for the work_mem?  It's currently set to
> 8M.

The key is that there's enough memory for shared_buffers and work_mem
without going to swapping. If you're consuming that much work_mem I
wouldn't worry at all about OS caching.

What's reasonable for work_mem depends on your workload. If you've got
some reporting queries that you know aren't run very concurrently they
might benefit from large values of work_mem. For,
I set work_mem to something like 2MB in the config file, but the nightly
batch routines manually set it up to 256M or more, because I know that
those only run one at a time, and having that extra memory means a lot
of stuff that would otherwise have to spill to disk now stays in memory.
Jim Nasby                                            jim(at)nasby(dot)net
EnterpriseDB      512.569.9461 (cell)

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Subject: Re: DB Performance decreases due to often written/accessed table
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