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From: Tom Lane <tgl@sss.pgh.pa.us>
To: Jesper Krogh <jesper@krogh.cc>
Cc: Mladen Gogala <mladen.gogala@vmsinfo.com>
Cc: david@lang.hm <david@lang.hm>
Cc: Craig Ringer <craig@postnewspapers.com.au>
Cc: Vitalii Tymchyshyn <tivv00@gmail.com>
Cc: pgsql-performance@postgresql.org <pgsql-performance@postgresql.org>
Subject: Re: Slow count(*) again...
Date: Tue, 12 Oct 2010 14:58:13 -0400
Message-ID: <4292.1286909893@sss.pgh.pa.us> (raw)
In-Reply-To: <4CB4A749.3080705@krogh.cc>
References: <201010091626.18636.neil.whelchel@gmail.com>
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	<4CB34D69.6060108@emolecules.com>
	<4CB4149D.8030803@gmail.com>
	<4CB41902.1020503@postnewspapers.com.au>
	<alpine.DEB.2.00.1010120118030.21889@asgard.lang.hm>
	<4CB4542E.5010406@vmsinfo.com>
	<23516.1286891790@sss.pgh.pa.us>
	<4CB46AE2.7030006@vmsinfo.com>
	<27107.1286903278@sss.pgh.pa.us>
	<4CB4A749.3080705@krogh.cc>

Jesper Krogh <jesper@krogh.cc> writes:
> On 2010-10-12 19:07, Tom Lane wrote:
>> Anyway, if anyone is hot to make COUNT(*) faster, that's where to look.

> Just having 32 bytes bytes of "payload" would more or less double
> you time to count if I read you test results correctly?. .. and in the
> situation where diskaccess would be needed .. way more.

> Dividing by pg_relation_size by the amout of tuples in our production
> system I end up having no avg tuple size less than 100bytes.

Well, yeah.  I deliberately tested with a very narrow table so as to
stress the per-row CPU costs as much as possible.  With any wider table
you're just going to be I/O bound.

> .. without having complete insigt.. a visibillity map that could be used in
> conjunction with indices would solve that. What the cost would be
> of maintaining it is also a factor.

I'm less than convinced that that approach will result in a significant
win.  It's certainly not going to do anything to convert COUNT(*) into
an O(1) operation, which frankly is what the complainants are expecting.
There's basically no hope of solving the "PR problem" without somehow
turning COUNT(*) into a materialized-view reference.  We've discussed
that in the past, and know how to do it in principle, but the complexity
and distributed overhead are daunting.

			regards, tom lane



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