Re: Improvement of checkpoint IO scheduler for stable transaction responses

From: KONDO Mitsumasa <kondo(dot)mitsumasa(at)lab(dot)ntt(dot)co(dot)jp>
To: Heikki Linnakangas <hlinnakangas(at)vmware(dot)com>
Cc: PostgreSQL-development <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: Improvement of checkpoint IO scheduler for stable transaction responses
Date: 2013-06-17 07:12:53
Message-ID: 51BEB6F5.7070907@lab.ntt.co.jp
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Thank you for giving comments and my patch reviewer!

(2013/06/16 23:27), Heikki Linnakangas wrote:
> On 10.06.2013 13:51, KONDO Mitsumasa wrote:
>> I create patch which is improvement of checkpoint IO scheduler for
>> stable transaction responses.
>>
>> * Problem in checkpoint IO schedule in heavy transaction case
>> When heavy transaction in database, I think PostgreSQL checkpoint
>> scheduler has two problems at start and end of checkpoint. One problem
>> is IO heavy when starting initial checkpoint in rounds of checkpoint.
>> This problem was caused by full-page-write which cause WAL IO in fast
>> page writes after checkpoint write page. Therefore, when starting
>> checkpoint, WAL-based checkpoint scheduler wrong judgment that is late
>> schedule by full-page-write, nevertheless checkpoint schedule is not
>> late. This is caused bad transaction response. I think WAL-based
>> checkpoint scheduler was not property in starting checkpoint.
>
> Yeah, the checkpoint scheduling logic doesn't take into account the heavy WAL
> activity caused by full page images. That's an interesting phenomenon, but did
> you actually see that causing a problem in your tests? I couldn't tell from the
> results you posted what the impact of that was. Could you repeat the tests
> separately with the two separate patches you posted later in this thread?
OK, I try to test with the two separate patches. My patches results which I send past
indicate high WAL throughputs(write_size_per_sec) and high transaction during
checkpoint. Please see
under following HTML file which I set tag jump, and put 'checkpoint highlight
switch' button.

* With my patched PG
http://pgstatsinfo.projects.pgfoundry.org/dbt2_result/report/patchedPG-report.html#transaction_statistics
http://pgstatsinfo.projects.pgfoundry.org/dbt2_result/report/patchedPG-report.html#wal_statistics

* Plain PG
http://pgstatsinfo.projects.pgfoundry.org/dbt2_result/report/plainPG-report.html#transaction_statistics
http://pgstatsinfo.projects.pgfoundry.org/dbt2_result/report/plainPG-report.html#wal_statistics

In wal statistics result, I think that high WAL thorouputs in checkpoint starting
indicates that checkpoint IO does not disturb other executing transaction IO.

> Rationalizing a bit, I could even argue to myself that it's a *good* thing. At
> the beginning of a checkpoint, the OS write cache should be relatively empty, as
> the checkpointer hasn't done any writes yet. So it might make sense to write a
> burst of pages at the beginning, to partially fill the write cache first, before
> starting to throttle. But this is just handwaving - I have no idea what the
> effect is in real life.
Yes, I think so. If we want to change IO throttle, we change OS parameter which
are '/proc/sys/vm/dirty_background_ratio' or '/proc/sys/vm/dirty_ratio'. But this
parameter effects whole applications in OS, it is difficult to change this
parameter and cannot set intuitive parameter. And I think that database tuning
should be set in database parameter rather than OS parameter. It is more clear in
tuning a server.

> Another thought is that rather than trying to compensate for that effect in the
> checkpoint scheduler, could we avoid the sudden rush of full-page images in the
> first place? The current rule for when to write a full page image is
> conservative: you don't actually need to write a full page image when you modify
> a buffer that's sitting in the buffer cache, if that buffer hasn't been flushed
> to disk by the checkpointer yet, because the checkpointer will write and fsync it
> later. I'm not sure how much it would smoothen WAL write I/O, but it would be
> interesting to try.
It is most right method in ideal implementations. But I don't have any idea about
this method. It seems very difficult...

>> Second problem is fsync freeze problem in end of checkpoint.
>> Normally, checkpoint write is executed in background by OS's IO
>> scheduler. But when it does not correctly work, end of checkpoint
>> fsync was caused IO freeze and slower transactions. Unexpected slow
>> transaction will cause monitor error in HA-cluster and decrease
>> user-experience in application service. It is especially serious
>> problem in cloud and virtual server database system which does not
>> have IO performance. However we don't have solution in
>> postgresql.conf parameter very much. We prefer checkpoint time to
>> fast response transactions. In fact checkpoint time is short, and it
>> becomes little bit long that is not problem. You may think that
>> checkpoint_segments and checkpoint_timeout are set larger value,
>> however large checkpoint_segments affects file-cache which is not
>> read and is wasted, and large checkpoint_timeout was caused
>> long-time crash-recovery.
>
> A long time ago, Itagaki wrote a patch to sort the checkpoint writes:
> www.postgresql.org/message-id/flat/20070614153758(dot)6A62(dot)ITAGAKI(dot)TAKAHIRO(at)oss(dot)ntt(dot)co(dot)jp(dot)
> He posted very promising performance numbers, but it was dropped because Tom
> couldn't reproduce the numbers, and because sorting requires allocating a large
> array, which has the risk of running out of memory, which would be bad when
> you're trying to checkpoint.
Yes, we tested Itagaki's patche last year. But our test results is not good. I
think that our test server's RAID contoroler with 1GB cache and 8 disks was too
good to indicate good results. Write IO might be eventually optimized in RAID
contoroler which has big chache.

> Apart from the direct performance impact of that patch, sorting the writes would
> allow us to interleave the fsyncs with the writes. You would write out all
> buffers for relation A, then fsync it, then all buffers for relation B, then
> fsync it, and so forth. That would naturally spread out the fsyncs.
>
> If we don't mind scanning the buffer cache several times, we don't necessarily
> even need to sort the writes for that. Just scan the buffer cache for all buffers
> belonging to relation A, then fsync it. Then scan the buffer cache again, for all
> buffers belonging to relation B, then fsync that, and so forth.
Yes. But I don't think that it needs *exactly* buffer sort. It needs roughly
buffer sort only for interleving the fsyncs with the writes. Roughly buffer sort
reduce computational complexity which was said by Tom, and it will be optimized
in OS IO scheduler as same as exactly buffer sort. My roughly buffer sort images
are clustering like k-means. If we can know distribution of buffers in advance,
we will be able to realize roughly buffer sort with less computational complexity.

>> Bad point of my patch is longer checkpoint. Checkpoint time was
>> increased about 10% - 20%. But it can work correctry on schedule-time in
>> checkpoint_timeout. Please see checkpoint result (http://goo.gl/NsbC6).
>
> For a fair comparison, you should increase the checkpoint_completion_target of
> the unpatched test, so that the checkpoints run for roughly the same amount of
> time with and without the patch. Otherwise the benefit you're seeing could be
> just because of a more lazy checkpoint.
It is important to understand other contributer, I need more fair comparison and
an objective analysis. Thanks for your advice, I try it!

Best regards,
--
Mitsumasa KONDO
NTT Open Source Software Center

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