From: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
---|---|
To: | josh(at)agliodbs(dot)com |
Cc: | pgsql-hackers(at)postgresql(dot)org, Heikki Linnakangas <heikki(at)enterprisedb(dot)com>, Simon Riggs <simon(at)2ndquadrant(dot)com>, Gregory Stark <stark(at)enterprisedb(dot)com>, "Joshua D(dot) Drake" <jd(at)commandprompt(dot)com>, Jeff Trout <threshar(at)threshar(dot)is-a-geek(dot)com>, Koichi Suzuki <suzuki(dot)koichi(at)oss(dot)ntt(dot)co(dot)jp> |
Subject: | Re: [GENERAL] Slow PITR restore |
Date: | 2007-12-14 00:37:39 |
Message-ID: | 23133.1197592659@sss.pgh.pa.us |
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Lists: | pgsql-general pgsql-hackers |
Josh Berkus <josh(at)agliodbs(dot)com> writes:
> Tom,
>> [ shrug... ] This is not consistent with my experience. I can't help
>> suspecting misconfiguration; perhaps shared_buffers much smaller on the
>> backup, for example.
> You're only going to see it on SMP systems which have a high degree of CPU
> utilization. That is, when you have 16 cores processing flat-out, then
> the *single* core which will replay that log could certainly have trouble
> keeping up.
You are supposing that replay takes as much CPU as live query
processing, which is nonsense (at least as long as we don't load it
down with a bunch of added complexity ;-)).
The argument that Heikki actually made was that multiple parallel
queries could use more of the I/O bandwidth of a multi-disk array
than recovery could. Which I believe, but I question how much of a
real-world problem it is. For it to be an issue, you'd need a workload
that is almost all updates (else recovery wins by not having to
replicate reads of pages that don't get modified) and the updates have
to range over a working set significantly larger than physical RAM
(else I/O bandwidth won't be the bottleneck anyway). I think we're
talking about an extremely small population of real users.
regards, tom lane
3e
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