SELECT COUNT(*) FROM data, values, names
WHERE data.campaign_id = 22 AND names.name = 'content' AND values.value = 'index'
AND data.name_id = names.id AND data.value_id = value.id;
This query should pull out all of the index content from the data table for campaign 22. name_id and value_id are indexed, as are the name and value fields of the names and values tables. campaign_id is also indexed in the data table and each name and value is unique per campaign. The vardata dataset for this campaign that has around 163000 entries and the above query takes nearly a minute to run. Total size of data table is around 3 million records.
On the same machine, the following query takes roughly 2 seconds to run:
CREATE TEMPORARY TABLE IF NOT EXISTS names_temp SELECT names.id as var_id, values.id as val_id FROM values, names
WHERE names.campaign_id = 22 AND values.campaign_id = names.campaign_id
AND names.name = 'content' AND values.value = 'index';
SELECT COUNT(*) FROM vardata, names_temp WHERE vardata.varNameId = names_temp.var_id AND vardata.varValueId = names_temp.val_id;
After looking at EXPLAIN for both, I understand that the latter is faster because it is doing lookups based on constant values, but I have a gut feeling that this kind of join should be able to be done with similar speed without having to use a temp table... Is there any way to optimize the performance of the join query without having to go with the two-query option?
-- Thanks, Mathew
.................................. Mathew J. Ray Sr. Interactive Developer IQ Television Group ..................................
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