Re: Scaling shared buffer eviction

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От Amit Kapila
Тема Re: Scaling shared buffer eviction
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Msg-id CAA4eK1+LMUAj=H1MksYhHC+BTH0FQYUq+735Lt-LEJ=W4zyPEA@mail.gmail.com
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Ответ на Re: Scaling shared buffer eviction  (Mark Kirkwood <mark.kirkwood@catalyst.net.nz>)
Ответы Re: Scaling shared buffer eviction  (Mark Kirkwood <mark.kirkwood@catalyst.net.nz>)
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On Wed, Sep 10, 2014 at 5:46 AM, Mark Kirkwood <mark.kirkwood@catalyst.net.nz> wrote:
>
> On 05/09/14 23:50, Amit Kapila wrote:
>>
>> On Fri, Sep 5, 2014 at 8:42 AM, Mark Kirkwood
>>  > FWIW below are some test results on the 60 core beast with this patch
>> applied to 9.4. I'll need to do more runs to iron out the variation,
>>  > but it looks like the patch helps the standard (write heavy) pgbench
>> workload a little, and clearly helps the read only case.
>>  >
>>
>> Thanks for doing the test.  I think if possible you can take
>> the performance data with higher scale factor (4000) as it
>> seems your m/c has 1TB of RAM.  You might want to use
>> latest patch I have posted today.
>>
>
> Here's some fairly typical data from read-write and read-only runs at scale 4000 for 9.4 beta2 with and without the v7 patch (below). I'm not seeing much variation between repeated read-write runs with the same config (which is nice - sleep 30 and explicit checkpoint call between each one seem to help there).
>
> Interestingly, I note anecdotally that (unpatched) 9.4 beta2 seems to be better at higher client counts than beta1 was...
>
> In terms of the effect of the patch - looks pretty similar to the scale 2000 results for read-write, but read-only is a different and more interesting story - unpatched 9.4 is noticeably impacted in the higher client counts, whereas the patched version scales as well (or even better perhaps) than in the scale 2000 case.

Yeah, that's what I was expecting, the benefit of this patch
will be more at higher client count when there is large data
and all the data can fit in RAM .

Many thanks for doing the performance test for patch.


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

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