From: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
---|---|
To: | Simon Riggs <simon(at)2ndQuadrant(dot)com> |
Cc: | Jeff Janes <jeff(dot)janes(at)gmail(dot)com>, pgsql-hackers <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: [PERFORM] Slow query: bitmap scan troubles |
Date: | 2013-01-07 18:27:38 |
Message-ID: | 13842.1357583258@sss.pgh.pa.us |
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Lists: | pgsql-hackers pgsql-performance |
Simon Riggs <simon(at)2ndQuadrant(dot)com> writes:
> On 7 January 2013 17:35, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
>> That gives a formula of
>> cpu_operator_cost * log2(N) + cpu_operator_cost * 50 * (H+2)
> Again, this depends on N and H, so thats good.
> I think my retinas detached while reading your explanation, but I'm a
> long way from coming up with a better or more principled one.
> If we can describe this as a heuristic that appears to fit the
> observed costs, we may keep the door open for something better a
> little later.
I'm fairly happy with the general shape of this formula: it has a
principled explanation and the resulting numbers appear to be sane.
The specific cost multipliers obviously are open to improvement based
on future evidence. (In particular, I intend to code it in a way that
doesn't tie the "startup overhead" and "cost per page" numbers to be
equal, even though I'm setting them equal for the moment for lack of a
better idea.)
One issue that needs some thought is that the argument for this formula
is based entirely on thinking about b-trees. I think it's probably
reasonable to apply it to gist, gin, and sp-gist as well, assuming we
can get some estimate of tree height for those, but it's obviously
hogwash for hash indexes. We could possibly just take H=0 for hash,
and still apply the log2(N) part ... not so much because that is right
as because it's likely too small to matter.
regards, tom lane
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