From: | Jeff Janes <jeff(dot)janes(at)gmail(dot)com> |
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To: | Sergey Koposov <koposov(at)ast(dot)cam(dot)ac(dot)uk> |
Cc: | Florian Pflug <fgp(at)phlo(dot)org>, Merlin Moncure <mmoncure(at)gmail(dot)com>, Robert Haas <robertmhaas(at)gmail(dot)com>, pgsql-hackers(at)postgresql(dot)org, Stephen Frost <sfrost(at)snowman(dot)net> |
Subject: | Re: 9.2beta1, parallel queries, ReleasePredicateLocks, CheckForSerializableConflictIn in the oprofile |
Date: | 2012-06-01 03:44:59 |
Message-ID: | CAMkU=1xf4HTO9zB7GifiAP7ovGpTTGDU+rsmKEtaYSx5wcGG-g@mail.gmail.com |
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On Wed, May 30, 2012 at 6:10 PM, Sergey Koposov <koposov(at)ast(dot)cam(dot)ac(dot)uk> wrote:
> On Wed, 30 May 2012, Jeff Janes wrote:
>
>> But anyway, is idt_match a fairly static table? If so, I'd partition
>> that into 16 tables, and then have each one of your tasks join against
>> a different one of those tables. That should relieve the contention
>> on the index root block, and might have some other benefits as well.
>
>
> No, idt_match is getting filled by multi-threaded copy() and then joined
> with 4 other big tables like idt_phot. The result is then split into
> partitions.
That does make things more complicated. But you could you partition
it at that level and then do the joins partition-wise?
I don't have much experience at data partitioning (well, I do, but the
experience is with partitioning in Perl with terabytes of flat files,
not in PG :) ) but I think that once you have your partitioning keys
you want to apply them the same way up and down the data set.
Cheers,
Jeff
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