From: | Claudio Freire <klaussfreire(at)gmail(dot)com> |
---|---|
To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
Cc: | Simon Riggs <simon(at)2ndquadrant(dot)com>, 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 18:48:12 |
Message-ID: | CAGTBQpbNJLx+QjksoA4wmChBDkzkBgfxXLDkgaKKrku+JfvqXg@mail.gmail.com |
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Lists: | pgsql-hackers pgsql-performance |
On Mon, Jan 7, 2013 at 3:27 PM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
>
> 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.
Height would be more precisely "lookup cost" (in comparisons). Most
indexing structures have a well-studied lookup cost. For b-trees, it's
log_b(size), for hash it's 1 + size/buckets.
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