From: | Greg Smith <greg(at)2ndquadrant(dot)com> |
---|---|
To: | Robert Haas <robertmhaas(at)gmail(dot)com> |
Cc: | Jeff Janes <jeff(dot)janes(at)gmail(dot)com>, Ron Mayer <rm_pg(at)cheapcomplexdevices(dot)com>, Josh Berkus <josh(at)agliodbs(dot)com>, pgsql-hackers(at)postgresql(dot)org |
Subject: | Re: Spread checkpoint sync |
Date: | 2011-01-27 17:18:37 |
Message-ID: | 4D41A8ED.3090502@2ndquadrant.com |
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Lists: | pgsql-hackers |
Greg Smith wrote:
> I think a helpful next step here would be to put Robert's fsync
> compaction patch into here and see if that helps. There are enough
> backend syncs showing up in the difficult workloads (scale>=1000,
> clients >=32) that its impact should be obvious.
Initial tests show everything expected from this change and more. This
took me a while to isolate because of issues where the filesystem
involved degraded over time, giving a heavy bias toward a faster first
test run, before anything was fragmented. I just had to do a whole new
mkfs on the database/xlog disks when switching between test sets in
order to eliminate that.
At a scale of 500, I see the following average behavior:
Clients TPS backend-fsync
16 557 155
32 587 572
64 628 843
128 621 1442
256 632 2504
On one run through with the fsync compaction patch applied this turned into:
Clients TPS backend-fsync
16 637 0
32 621 0
64 721 0
128 716 0
256 841 0
So not only are all the backend fsyncs gone, there is a very clear TPS
improvement too. The change in results at >=64 clients are well above
the usual noise threshold in these tests.
The problem where individual fsync calls during checkpoints can take a
long time is not appreciably better. But I think this will greatly
reduce the odds of running into the truly dysfunctional breakdown, where
checkpoint and backend fsync calls compete with one another, that caused
the worst-case situation kicking off this whole line of research here.
--
Greg Smith 2ndQuadrant US greg(at)2ndQuadrant(dot)com Baltimore, MD
PostgreSQL Training, Services, and 24x7 Support www.2ndQuadrant.us
"PostgreSQL 9.0 High Performance": http://www.2ndQuadrant.com/books
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