First, I've got some updated numbers up at
timing2.log shows that the planner actually under-estimates an index
scan by several orders of magnitude. Granted, random_page_cost is set to
an unrealistic 1.1 (otherwise I can't force the index scan), but that
alone isn't enough to explain the difference.
On Wed, May 11, 2005 at 05:59:10PM +0200, Manfred Koizar wrote:
> On Sun, 24 Apr 2005 17:01:46 -0500, "Jim C. Nasby" <[EMAIL PROTECTED]>
> >> >> Feel free to propose better cost equations.
> I did. More than once.
> >estimated index scan cost for (project_id, id, date) is
> >0.00..100117429.34 while the estimate for work_units is
> >0.00..103168408.62; almost no difference,
> > even though project_id correlation is .657
> This is divided by the number of index columns, so the index correlation
> is estimated to be 0.219.
That seems like a pretty bad assumption to make.
Is there any eta on having statistics for multi-column indexes?
> >you'll see that the cost of the index scan is way overestimated. Looking
> >at the code, the runcost is calculated as
> > run_cost += max_IO_cost + csquared * (min_IO_cost - max_IO_cost);
> >where csquared is indexCorrelation^2. Why is indexCorrelation squared?
> >The comments say a linear interpolation between min_IO and max_IO is
> >used, but ISTM that if it was linear then instead of csquared,
> >indexCorrelation would just be used.
> In my tests I got much more plausible results with
> 1 - (1 - abs(correlation))^2
What's the theory behind that?
And I'd still like to know why correlation squared is used.
> Jim, are you willing to experiment with one or two small patches of
> mine? What version of Postgres are you running?
It depends on the patches, since this is a production machine. Currently
it's running 7.4.*mumble*, though I need to upgrade to 8, which I was
intending to do via slony. Perhaps the best thing would be for me to get
that setup and we can experiment against version 8.0.3.
Jim C. Nasby, Database Consultant [EMAIL PROTECTED]
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