From: | Robert Haas <robertmhaas(at)gmail(dot)com> |
---|---|
To: | Amit Kapila <amit(dot)kapila16(at)gmail(dot)com> |
Cc: | Thom Brown <thom(at)linux(dot)com>, Simon Riggs <simon(at)2ndquadrant(dot)com>, Jesper Pedersen <jesper(dot)pedersen(at)redhat(dot)com>, pgsql-hackers <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: Speed up Clog Access by increasing CLOG buffers |
Date: | 2016-02-23 13:36:46 |
Message-ID: | CA+TgmobTdYgh24XNHMoGansYn=zCH5WzAg58jAeNA8WEVUbrbA@mail.gmail.com |
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Lists: | pgsql-hackers |
On Sun, Feb 21, 2016 at 7:45 PM, Amit Kapila <amit(dot)kapila16(at)gmail(dot)com>
wrote:
> I mean, my basic feeling is that I would not accept a 2-3% regression in
>> the single client case to get a 10% speedup in the case where we have 128
>> clients.
>>
>
> I understand your point. I think to verify whether it is run-to-run
> variation or an actual regression, I will re-run these tests on single
> client multiple times and post the result.
>
Perhaps you could also try it on a couple of different machines (e.g.
MacBook Pro and a couple of different large servers).
>
> A lot of people will not have 128 clients; quite a few will have a
>> single session, or just a few. Sometimes just making the code more complex
>> can hurt performance in subtle ways, e.g. by making it fit into the L1
>> instruction cache less well. If the numbers you have here are accurate,
>> I'd vote to reject the patch.
>>
> One point to note is that this patch along with first patch which I
> posted in this thread to increase clog buffers can make significant
> reduction in contention on CLogControlLock. OTOH, I think introducing
> regression at single-client is also not a sane thing to do, so lets
> first try to find if there is actually any regression and if it is, can
> we mitigate it by writing code with somewhat fewer instructions or
> in a slightly different way and then we can decide whether it is good
> to reject the patch or not. Does that sound reasonable to you?
>
Yes.
--
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company
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