From: | Atri Sharma <atri(dot)jiit(at)gmail(dot)com> |
---|---|
To: | Fujii Masao <masao(dot)fujii(at)gmail(dot)com> |
Cc: | Nigel Heron <nheron(at)querymetrics(dot)com>, Mike Blackwell <mike(dot)blackwell(at)rrd(dot)com>, Peter Eisentraut <peter_e(at)gmx(dot)net>, Stephen Frost <sfrost(at)snowman(dot)net>, PgHacker <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: stats for network traffic WIP |
Date: | 2013-12-10 05:43:48 |
Message-ID: | CAOeZViedF+LL2wRR1SFiNeEdd9KQE4ix7VtyzwKcR2ZowzE8XQ@mail.gmail.com |
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Lists: | pgsql-hackers |
On Tue, Dec 10, 2013 at 10:59 AM, Fujii Masao <masao(dot)fujii(at)gmail(dot)com> wrote:
> On Tue, Dec 10, 2013 at 6:56 AM, Nigel Heron <nheron(at)querymetrics(dot)com> wrote:
>> On Sat, Dec 7, 2013 at 1:17 PM, Fujii Masao <masao(dot)fujii(at)gmail(dot)com> wrote:
>>>
>>> Could you share the performance numbers? I'm really concerned about
>>> the performance overhead caused by this patch.
>>>
>>
>> I've tried pgbench in select mode with small data sets to avoid disk
>> io and didn't see any difference. That was on my old core2duo laptop
>> though .. I'll have to retry it on some server class multi core
>> hardware.
>
> When I ran pgbench -i -s 100 in four parallel, I saw the performance difference
> between the master and the patched one. I ran the following commands.
>
> psql -c "checkpoint"
> for i in $(seq 1 4); do time pgbench -i -s100 -q db$i & done
>
> The results are:
>
> * Master
> 10000000 of 10000000 tuples (100%) done (elapsed 13.91 s, remaining 0.00 s).
> 10000000 of 10000000 tuples (100%) done (elapsed 14.03 s, remaining 0.00 s).
> 10000000 of 10000000 tuples (100%) done (elapsed 14.01 s, remaining 0.00 s).
> 10000000 of 10000000 tuples (100%) done (elapsed 14.13 s, remaining 0.00 s).
>
> It took almost 14.0 seconds to store 10000000 tuples.
>
> * Patched
> 10000000 of 10000000 tuples (100%) done (elapsed 14.90 s, remaining 0.00 s).
> 10000000 of 10000000 tuples (100%) done (elapsed 15.05 s, remaining 0.00 s).
> 10000000 of 10000000 tuples (100%) done (elapsed 15.42 s, remaining 0.00 s).
> 10000000 of 10000000 tuples (100%) done (elapsed 15.70 s, remaining 0.00 s).
>
> It took almost 15.0 seconds to store 10000000 tuples.
>--
Regards,
Atri
l'apprenant
> Thus, I'm afraid that enabling network statistics would cause serious
> performance
> degradation. Thought?
Hmm, I think I did not push it this high. The performance numbers here
are cause of worry.
Another point I may mention here is that if we can isolate a few
points of performance degradation and work on them because I still
feel that the entire patch itself does not cause a serious lapse,
rather, a few points may.
However, the above numbers bring up the original concerns for the
performance voiced. I guess I was testing on too low number of clients
for the gap to show up significantly.
Regards,
Atri
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