From: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
---|---|
To: | Peter Geoghegan <pg(at)heroku(dot)com> |
Cc: | Robert Haas <robertmhaas(at)gmail(dot)com>, KONDO Mitsumasa <kondo(dot)mitsumasa(at)lab(dot)ntt(dot)co(dot)jp>, Rajeev rastogi <rajeev(dot)rastogi(at)huawei(dot)com>, Mitsumasa KONDO <kondo(dot)mitsumasa(at)gmail(dot)com>, Simon Riggs <simon(at)2ndquadrant(dot)com>, PostgreSQL-development <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: Add min and max execute statement time in pg_stat_statement |
Date: | 2014-01-30 20:32:49 |
Message-ID: | 18340.1391113969@sss.pgh.pa.us |
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Peter Geoghegan <pg(at)heroku(dot)com> writes:
> On Thu, Jan 30, 2014 at 9:57 AM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
>> BTW ... it occurs to me to wonder if it'd be feasible to keep the
>> query-texts file mmap'd in each backend, thereby reducing the overhead
>> to write a new text to about the cost of a memcpy, and eliminating the
>> read cost in pg_stat_statements() altogether. It's most likely not worth
>> the trouble; but if a more-realistic benchmark test shows that we actually
>> have a performance issue there, that might be a way out without giving up
>> the functional advantages of Peter's patch.
> There could be a worst case for that scheme too, plus we'd have to
> figure out how to make in work with windows, which in the case of
> mmap() is not a sunk cost AFAIK. I'm skeptical of the benefit of
> pursuing that.
Well, it'd be something like #ifdef HAVE_MMAP then use mmap, else
use what's there today. But I agree that it's not something to pursue
unless we see a more credible demonstration of a problem. Presumably
any such code would have to be prepared to remap if the file grows
larger than it initially allowed for; and that would be complicated
and perhaps have unwanted failure modes.
> In reality, actual applications
> could hardly be further from the perfectly uniform distribution of
> distinct queries presented here.
Yeah, I made the same point in different words. I think any realistic
comparison of this code to what we had before needs to measure a workload
with a more plausible query frequency distribution.
regards, tom lane
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