Re: benchmarking the query planner

From: "Greg Stark" <stark(at)enterprisedb(dot)com>
To: "Tom Lane" <tgl(at)sss(dot)pgh(dot)pa(dot)us>
Cc: "Robert Haas" <robertmhaas(at)gmail(dot)com>, "Simon Riggs" <simon(at)2ndquadrant(dot)com>, "Kevin Grittner" <Kevin(dot)Grittner(at)wicourts(dot)gov>, "jd(at)commandprompt(dot)com" <jd(at)commandprompt(dot)com>, "Josh Berkus" <josh(at)agliodbs(dot)com>, "Greg Smith" <gsmith(at)gregsmith(dot)com>, pgsql-hackers(at)postgresql(dot)org
Subject: Re: benchmarking the query planner
Date: 2008-12-12 14:50:41
Message-ID: 4136ffa0812120650g401f9e44u328a5f427aec1a0d@mail.gmail.com
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On Fri, Dec 12, 2008 at 2:35 PM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
> AFAICS, marginal enlargements in the sample size aren't going to help
> much for ndistinct --- you really need to look at most or all of the
> table to be guaranteed anything about that.

Well you only need to maintain a fixed percentage of the table if by
"guaranteed anything" you mean guaranteed a consistent level of
confidence. But even a small percentage like 1% means a very different
behaviour than currently. For large tables it could mean sampling a
*lot* more.

However if by "guaranteed anything" you mean guaranteeing an actual
useful result then it's true. Even samples as large as 50% give a
pretty low confidence estimate.

> But having said that, I have wondered whether we should consider
> allowing the sample to grow to fill maintenance_work_mem

Hm, so I wonder what this does to the time analyze takes. I think it
would be the only thing where raising maintenance_work_mem would
actually increase the amount of time an operation takes. Generally
people raise it to speed up index builds and vacuums etc.

--
greg

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