Re: track_planning causing performance regression - Mailing list pgsql-hackers

From Fujii Masao
Subject Re: track_planning causing performance regression
Date
Msg-id 49f15257-2fb8-fd7a-5163-4517e3565e3c@oss.nttdata.com
Whole thread Raw
In response to Re: track_planning causing performance regression  (Julien Rouhaud <rjuju123@gmail.com>)
Responses Re: track_planning causing performance regression  (Julien Rouhaud <rjuju123@gmail.com>)
List pgsql-hackers

On 2020/06/29 18:17, Julien Rouhaud wrote:
> On Mon, Jun 29, 2020 at 10:55 AM Fujii Masao
> <masao.fujii@oss.nttdata.com> wrote:
>>
>> On 2020/06/29 16:05, Julien Rouhaud wrote:
>>> On Mon, Jun 29, 2020 at 7:49 AM Tharakan, Robins <tharar@amazon.com> wrote:
>>>>
>>>> During fully-cached SELECT-only test using pgbench, Postgres v13Beta1 shows
>>
>> Thanks for the benchmark!
>>
>>
>>>> ~45% performance drop [2] at high DB connection counts (when compared with v12.3)
>>
>> That's bad :(
>>
>>
>>>>
>>>> Disabling pg_stat_statements.track_planning (which is 'On' by default)
>>>> brings the TPS numbers up to v12.3 levels.
>>>>
>>>> The inflection point (in this test-case) is 128 Connections, beyond which the
>>>> TPS numbers are consistently low. Looking at the mailing list [1], this issue
>>>> didn't surface earlier possibly since the regression is trivial at low connection counts.
>>>>
>>>> It would be great if this could be optimized further, or track_planning
>>>> disabled (by default) so as to not trip users upgrading from v12 with pg_stat_statement
>>>> enabled (but otherwise not particularly interested in track_planning).
>>
>> Your benchmark result seems to suggest that the cause of the problem is
>> the contention of per-query spinlock in pgss_store(). Right?
>> This lock contention is likely to happen when multiple sessions run
>> the same queries.
>>
>> One idea to reduce that lock contention is to separate per-query spinlock
>> into two; one is for planning, and the other is for execution. pgss_store()
>> determines which lock to use based on the given "kind" argument.
>> To make this idea work, also every pgss counters like shared_blks_hit
>> need to be separated into two, i.e., for planning and execution.
> 
> This can probably remove some overhead, but won't it eventually hit
> the same issue when multiple connections try to plan the same query,
> given the number of different queries and very low execution runtime?

Yes. But maybe we can expect that the idea would improve
the performance to the near same level as v12?


> It'll also quite increase the shared memory consumption.

Yes.


> I'm wondering if we could instead use atomics to store the counters.
> The only downside is that we won't guarantee per-row consistency
> anymore, which may be problematic.

Yeah, we can consider more improvements against this issue.
But I'm afraid these (maybe including my idea) basically should
be items for v14...

Regards,

-- 
Fujii Masao
Advanced Computing Technology Center
Research and Development Headquarters
NTT DATA CORPORATION



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