On Sun, 24 Apr 2005 17:01:46 -0500, "Jim C. Nasby" <[EMAIL PROTECTED]>
wrote:
>> >> Feel free to propose better cost equations.

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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,
~3%
> 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.
> while work_units correlation is .116.
So csquared is 0.048 and 0.013, respectively, and you get a result not
far away from the upper bound in both cases. The cost estimations
differ by only 3.5% of (max_IO_cost - min_IO_cost).
>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
Jim, are you willing to experiment with one or two small patches of
mine? What version of Postgres are you running?
Servus
Manfred
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