On 10/31/2011 5:05 PM, David Johnston wrote:
Thanks David! That worked great! When I filled in the the query from the "general idea" in your example above like so:From: pgsql-general-owner@xxxxxxxxxxxxxx [mailto:pgsql-general-owner@xxxxxxxxxxxxxx] On Behalf Of Bill Thoen Sent: Monday, October 31, 2011 6:51 PM To: Postgrresql Subject: Need Help With a A Simple Query That's Not So Simple [...] What I'd like to know is, which Farms and how many are growing only corn, which and how many are growing soybeans and which and how many are growing both? [...] Is there a better way to get the farm counts or data by categories like farms growing only corn, farms growing only soybeans, farms growing both? I'm also interested in possibly expanding to a general case where I could select more than two crops. and get counts of the permutations. [...] --------------------------------------------------------------- General Idea: WITH crop_one AS ( SELECT farm_id, crop_cd AS crop_one_cd ... ), crop_two AS ( SELECT farm_id, crop_cd AS crop_two_cd ) SELECT * FROM crop_one FULL OUTER JOIN crop_two USING (farm_id) ; Records with NULL for "crop_one_cd" only grow crop 2, records with NULL for "crop_two_cd" only grow crop 1, records where neither field is NULL grow both. Not sure regarding the general case. You likely want to use ARRAY_AGG to get a result like: Farm_id_100, { 'CROP_CD_1', 'CROP_CD_2' } You could then probably get a query to output something like: (crop_id, farms_exclusive, farms_shared, farms_without) Where each of the "farms_" columns is an array of farm_ids that match the particular conditional = ALL (exclusive); != ALL && = ANY (shared); != ANY (without) David J. WITH crop_one AS ( SELECT farm_id, crop_cd AS corn FROM gfc_inilmoidia_2007 WHERE crop_cd ='0041' ), crop_two AS ( SELECT farm_id, crop_cd AS soybeans FROM gfc_inilmoidia_2007 WHERE crop_cd = '0081' ) SELECT * FROM crop_one FULL OUTER JOIN crop_two USING (farm_id) ; It produced the following (which is essentially the base of what I'm looking for): farm_id | corn | soybeans ---------+------+---------- 1473 | 0041 | 0081 1474 | 0041 | 0081 1474 | 0041 | 0081 1474 | 0041 | 0081 1474 | 0041 | 0081 1475 | 0041 | 1475 | 0041 | 1476 | 0041 | 0081 1476 | 0041 | 0081 1476 | 0041 | 0081 1476 | 0041 | 0081 1476 | 0041 | 0081 1476 | 0041 | 0081 1476 | 0041 | 0081 1476 | 0041 | 0081 1476 | 0041 | 0081 1477 | 0041 | 1478 | 0041 | 0081 1479 | 0041 | 1480 | | 0081 1480 | | 0081 Thanks so much for the quick reply. You've also just opened up a whole new area of query possibilities for me of which I wasn't aware - Bill Thoen |