From: | mark(at)mark(dot)mielke(dot)cc |
---|---|
To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
Cc: | Bruce Momjian <bruce(at)momjian(dot)us>, Jie Zhang <jzhang(at)greenplum(dot)com>, Hannu Krosing <hannu(at)skype(dot)net>, Gavin Sherry <swm(at)linuxworld(dot)com(dot)au>, pgsql-hackers(at)postgresql(dot)org, Luke Lonergan <LLonergan(at)greenplum(dot)com> |
Subject: | Re: On-disk bitmap index patch |
Date: | 2006-07-25 05:08:55 |
Message-ID: | 20060725050855.GA31414@mark.mielke.cc |
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Lists: | pgsql-hackers |
On Tue, Jul 25, 2006 at 12:36:42AM -0400, Tom Lane wrote:
> mark(at)mark(dot)mielke(dot)cc writes:
> > Reading 1/4, for a larger table, has a good chance of being faster than
> > reading 4/4 of the table. :-)
> Really?
>
> If you have to hit one tuple out of four, it's pretty much guaranteed
> that you will need to fetch every heap page. So using an index provides
> zero I/O savings on the heap side, and any fetches needed to read the
> index are pure cost. Now you have to demonstrate that the CPU costs
> involved in processing the index are significantly cheaper than the cost
> of just testing the WHERE qual at every heap tuple --- not a bet that's
> likely to win at a one-in-four ratio.
Haha. Of course - but that's assuming uniform spread of the values.
Next I would try clustering the table on the bitmap index... :-)
My databases aren't as large as many of yours. Most or all of them
will fit in 1 Gbytes of RAM. The I/O cost isn't substantial for these,
but the WHERE clause might be.
But yeah - we don't know. Waste of code or performance boost.
Cheers,
mark
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