Re: Heavy LWLockTranche buffer_mapping in Postgres 9.6.10 server

From: Purav Chovatia <puravc(at)gmail(dot)com>
To: Justin Lu <justin(dot)lu5432(at)gmail(dot)com>
Cc: pgsql-admin(at)lists(dot)postgresql(dot)org, pgsql-admin <pgsql-admin(at)postgresql(dot)org>
Subject: Re: Heavy LWLockTranche buffer_mapping in Postgres 9.6.10 server
Date: 2020-02-02 09:24:07
Message-ID: CADrzpjGQzet5JeDV4svP11KtkacAU4XVsZqY3UyEkz_s7poG3w@mail.gmail.com
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one more suggestion would be to try increasing shared_buffers and see if
that helps. It need not be strictly restricted to 25% of the RAM on the
server. In your case, since RAM is 192GB and shared_buffers is 48GB, try
increasing shared_buffers to 64GB or more and see if "LWLockTranche
buffer_mapping" and CPU usage decreases.

HTH

On Sun, 2 Feb 2020 at 14:49, Purav Chovatia <puravc(at)gmail(dot)com> wrote:

> believe, Transparent Huge Pages is disabled and Huge Pages are enabled to
> the tune of shared_buffers.
>
> HTH
>
> On Sun, 2 Feb 2020 at 04:46, Justin Lu <justin(dot)lu5432(at)gmail(dot)com> wrote:
>
>> Experts,
>>
>> We are seeing very heavy LWLockTranche buffer_mapping in db recently.
>>
>> There server had 24 core, 128GB of RAM, SSD data file system, on Unbuntu
>> 16.04.6.
>> The shared_buffers was at 32GB. 1/4 of over RAM size. No issue on
>> checkpoints (avg time 29 min apart).
>>
>> After seeing the heavy wait, we added 64GB more RAM and increased
>> shared_buffers to 48GB, effective_cache_size to 90GB. But it seems there is
>> no impact on the buffer mapping waits at all.
>>
>> There doesn't seem to be big changes in the db load pattern, but since
>> the heavy buffer mapping appeared, the cpu load jumped 3 - 4 times.
>>
>> file system I/O times/timing has been increasing as the load on the db
>> increased over the last few months. But not by any means jumped.
>>
>> temp files generated by user sorting activities also have been
>> increasing, and increase of the work_mem after adding RAM doesn't seem to
>> help much on this.
>>
>> Any suggestions on what to look for?
>>
>> thanks,
>>
>> Justin
>>
>

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