| From: | Kenneth Marshall <ktm(at)rice(dot)edu> |
|---|---|
| To: | Doug Cole <dougcole(at)gmail(dot)com> |
| Cc: | pgsql-performance(at)postgresql(dot)org |
| Subject: | Re: optimizing query with multiple aggregates |
| Date: | 2009-10-22 13:22:14 |
| Message-ID: | 20091022132214.GC1199@it.is.rice.edu |
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| Thread: | |
| Lists: | pgsql-performance |
On Wed, Oct 21, 2009 at 03:51:25PM -0700, Doug Cole wrote:
> I have a reporting query that is taking nearly all of it's time in aggregate
> functions and I'm trying to figure out how to optimize it. The query takes
> approximately 170ms when run with "select *", but when run with all the
> aggregate functions the query takes 18 seconds. The slowness comes from our
> attempt to find distribution data using selects of the form:
>
> SUM(CASE WHEN field >= x AND field < y THEN 1 ELSE 0 END)
>
> repeated across many different x,y values and fields to build out several
> histograms of the data. The main culprit appears to be the CASE statement,
> but I'm not sure what to use instead. I'm sure other people have had
> similar queries and I was wondering what methods they used to build out data
> like this?
> Thanks for your help,
> Doug
Hi Doug,
Have you tried using the width_bucket() function? Here is a nice
article describing its use for making histograms:
http://quantmeditate.blogspot.com/2005/03/creating-histograms-using-sql-function.html
Regards,
Ken
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