Re: 9.2beta1, parallel queries, ReleasePredicateLocks, CheckForSerializableConflictIn in the oprofile
От | Jeff Janes |
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Тема | Re: 9.2beta1, parallel queries, ReleasePredicateLocks, CheckForSerializableConflictIn in the oprofile |
Дата | |
Msg-id | CAMkU=1xf4HTO9zB7GifiAP7ovGpTTGDU+rsmKEtaYSx5wcGG-g@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: 9.2beta1, parallel queries, ReleasePredicateLocks, CheckForSerializableConflictIn in the oprofile (Sergey Koposov <koposov@ast.cam.ac.uk>) |
Ответы |
Re: 9.2beta1, parallel queries, ReleasePredicateLocks,
CheckForSerializableConflictIn in the oprofile
|
Список | pgsql-hackers |
On Wed, May 30, 2012 at 6:10 PM, Sergey Koposov <koposov@ast.cam.ac.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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