Use a gist index. Easiest way would be to define a box with mindate at
one corner and maxdate at the other corner, and then search for
point(obsdate,obsdate) that lie with in the box.

A more detailed explination is in the archives somewhere...

On Sun, Feb 19, 2006 at 08:06:12PM -0800, [EMAIL PROTECTED] wrote:
> Here's a simplified version of the schema:
> 
> Table A has an ID field, an observation date, and other stuff. There are 
> about 20K IDs and 3K observations per ID. Table B has a matching ID field, 
> minimum and maximum dates, a code, and other stuff, about 0-50 records per 
> ID. For a given ID, the dates in B never overlap. On A, the PK is (id, 
> obsdate). On B, the PK is (id, mindate). I want
> 
> SELECT a.id, b.code, AVG(other stuff) FROM A LEFT JOIN B ON a.id=b.id AND 
> a.obsdate BETWEEN b.mindate AND b.maxdate GROUP BY 1,2;
> 
> Is there a way to smarten the query to take advantage of the fact at most one 
> record of B matches A? Also, I have a choice between using a LEFT JOIN or 
> inserting dummy records into B to fill in the gaps in the covered dates, 
> which would make exactly one matching record. Would this make a difference?
> 
> Thanks.
> 
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> 

-- 
Jim C. Nasby, Sr. Engineering Consultant      [EMAIL PROTECTED]
Pervasive Software      http://pervasive.com    work: 512-231-6117
vcard: http://jim.nasby.net/pervasive.vcf       cell: 512-569-9461

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