On Wed, Oct 21, 2009 at 6:51 PM, Doug Cole <dougcole@gmail.com> 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?
have you tried:
count(*) where field >= x AND field < y;
??
merlin
