Re: issue with gininsert under very high load

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От Heikki Linnakangas
Тема Re: issue with gininsert under very high load
Дата
Msg-id 52FBE1F7.6050204@vmware.com
обсуждение исходный текст
Ответ на Re: issue with gininsert under very high load  (Andres Freund <andres@2ndquadrant.com>)
Ответы Re: issue with gininsert under very high load  (Andrew Dunstan <andrew@dunslane.net>)
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On 02/12/2014 10:50 PM, Andres Freund wrote:
> On February 12, 2014 9:33:38 PM CET, Tom Lane <tgl@sss.pgh.pa.us> wrote:
>> Andres Freund <andres@2ndquadrant.com> writes:
>>> On 2014-02-12 14:39:37 -0500, Andrew Dunstan wrote:
>>>> On investigation I found that a number of processes were locked
>> waiting for
>>>> one wedged process to end its transaction, which never happened
>> (this
>>>> transaction should normally take milliseconds). oprofile revealed
>> that
>>>> postgres was spending 87% of its time in s_lock(), and strace on the
>> wedged
>>>> process revealed that it was in a tight loop constantly calling
>> select(). It
>>>> did not respond to a SIGTERM.
>>
>>> That's a deficiency of the gin fastupdate cache: a) it bases it's
>> size
>>> on work_mem which usually makes it *far* too big b) it doesn't
>> perform the
>>> cleanup in one go if it can get a suitable lock, but does independent
>>> locking for each entry. That usually leads to absolutely horrific
>>> performance under concurreny.
>>
>> I'm not sure that what Andrew is describing can fairly be called a
>> concurrent-performance problem.  It sounds closer to a stuck lock.
>> Are you sure you've diagnosed it correctly?
>
> No. But I've several times seen similar backtraces where it wasn't actually stuck, just livelocked. I'm just on my
mobileright now, but afair Andrew described a loop involving lots of semaphores and spinlock, that shouldn't be the
caseif it were actually stuck.
 
> If there dozens of processes waiting on the same lock, cleaning up a large amount of items one by one, it's not
surprisingif its dramatically slow.
 

Perhaps we should use a lock to enforce that only one process tries to 
clean up the pending list at a time.

- Heikki



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