From: Richard Huxton <dev@archonet.com>
To: Simon Riggs <simon@2ndquadrant.com>
Cc: Dimitri Fontaine <dfontaine@hi-media.com>
Cc: pgsql-performance@postgresql.org, "Jignesh K. Shah" <J.K.Shah@sun.com>
Cc: Greg Smith <gsmith@gregsmith.com>
Subject: Re: Benchmark Data requested
Date: Tue, 05 Feb 2008 14:43:36 +0000
Message-ID: <47A87618.1090203@archonet.com> (raw)
In-Reply-To: <1202221496.4252.680.camel@ebony.site>
References: <1202150236.4252.521.camel@ebony.site>
<Pine.GSO.4.64.0802041500460.799@westnet.com>
<47A797E5.4000507@sun.com>
<200802051506.51581.dfontaine@hi-media.com>
<1202221496.4252.680.camel@ebony.site>
Simon Riggs wrote:
> On Tue, 2008-02-05 at 15:06 +0100, Dimitri Fontaine wrote:
>>
>> Le lundi 04 février 2008, Jignesh K. Shah a écrit :
>>> Multiple table loads ( 1 per table) spawned via script is bit better
>>> but hits wal problems.
>> pgloader will too hit the WAL problem, but it still may have its benefits, or
>> at least we will soon (you can already if you take it from CVS) be able to
>> measure if the parallel loading at the client side is a good idea perf. wise.
>
> Should be able to reduce lock contention, but not overall WAL volume.
In the case of a bulk upload to an empty table (or partition?) could you
not optimise the WAL away? That is, shouldn't the WAL basically be a
simple transformation of the on-disk blocks? You'd have to explicitly
sync the file(s) for the table/indexes of course, and you'd need some
work-around for WAL shipping, but it might be worth it for you chaps
with large imports.
--
Richard Huxton
Archonet Ltd
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To: pgsql-performance@postgresql.org
Cc: dev@archonet.com, simon@2ndquadrant.com, dfontaine@hi-media.com, J.K.Shah@sun.com, gsmith@gregsmith.com
Subject: Re: Benchmark Data requested
In-Reply-To: <47A87618.1090203@archonet.com>
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