Re: Speed up Clog Access by increasing CLOG buffers

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От Amit Kapila
Тема Re: Speed up Clog Access by increasing CLOG buffers
Дата
Msg-id CAA4eK1K4HEsy819bkDxA3GxGBRsBvu9MmuGh3Q_CxUho29FG4A@mail.gmail.com
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Ответ на Re: Speed up Clog Access by increasing CLOG buffers  (Tomas Vondra <tomas.vondra@2ndquadrant.com>)
Ответы Re: Speed up Clog Access by increasing CLOG buffers
Список pgsql-hackers
On Fri, Sep 23, 2016 at 6:16 PM, Tomas Vondra
<tomas.vondra@2ndquadrant.com> wrote:
> On 09/23/2016 01:44 AM, Tomas Vondra wrote:
>>
>> ...
>> The 4.5 kernel clearly changed the results significantly:
>>
> ...
>>
>>
>> (c) Although it's not visible in the results, 4.5.5 almost perfectly
>> eliminated the fluctuations in the results. For example when 3.2.80
>> produced this results (10 runs with the same parameters):
>>
>>     12118 11610 27939 11771 18065
>>     12152 14375 10983 13614 11077
>>
>> we get this on 4.5.5
>>
>>     37354 37650 37371 37190 37233
>>     38498 37166 36862 37928 38509
>>
>> Notice how much more even the 4.5.5 results are, compared to 3.2.80.
>>
>
> The more I think about these random spikes in pgbench performance on 3.2.80,
> the more I find them intriguing. Let me show you another example (from
> Dilip's workload and group-update patch on 64 clients).
>
> This is on 3.2.80:
>
>   44175  34619  51944  38384  49066
>   37004  47242  36296  46353  36180
>
> and on 4.5.5 it looks like this:
>
>   34400  35559  35436  34890  34626
>   35233  35756  34876  35347  35486
>
> So the 4.5.5 results are much more even, but overall clearly below 3.2.80.
> How does 3.2.80 manage to do ~50k tps in some of the runs? Clearly we
> randomly do something right, but what is it and why doesn't it happen on the
> new kernel? And how could we do it every time?
>

As far as I can see you are using default values of min_wal_size,
max_wal_size, checkpoint related params, have you changed default
shared_buffer settings, because that can have a bigger impact.  Using
default values of mentioned parameters can lead to checkpoints in
between your runs. Also, I think instead of 5 mins, read-write runs
should be run for 15 mins to get consistent data.  For Dilip's
workload where he is using only Select ... For Update, i think it is
okay, but otherwise you need to drop and re-create the database
between each run, otherwise data bloat could impact the readings.

I think in general, the impact should be same for both the kernels
because you are using same parameters, but I think if use appropriate
parameters, then you can get consistent results for 3.2.80.  I have
also seen variation in read-write tests, but the variation you are
showing is really a matter of concern, because it will be difficult to
rely on final data.

-- 
With Regards,
Amit Kapila.
EnterpriseDB: http://www.enterprisedb.com



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