I have this insert statement that took a long time to execute:
INSERT INTO priceLast5 SELECT DISTINCT a.commodity, a.PricingDt FROM rptPricingTEST a WHERE a.PricingDt = ( SELECT MAX(PricingDt) FROM rptPricingTEST b WHERE b.PricingDt > @date1 AND b.PricingDt <= @date2 AND a.commodity = b.commodity );
> Query OK, 3010 rows affected (4 min 17.37 sec)
Is there any way I can modify the sql statement to speed this up?
Here's the result of explain (splitted for easy reading):
id select_type table type possible_keys key -- ------------------ ----- ----- ------------- ------------ 1 PRIMARY a index NULL idxcommodity 2 DEPENDENT SUBQUERY b ref idxcommodity idxcommodity
id key_len ref rows Extra -- ------- --------------------- ------ ------------------------ 1 25 NULL 384155 Using where; Using index 2 22 dbsdvitmp.a.commodity 52 Using where; Using index
And here's the rest of the sql before the above insert:
SELECT @date1:=DATE_SUB( CURDATE(), INTERVAL 1 MONTH); SELECT @date2:=CURDATE(); CREATE TEMPORARY TABLE priceLast5 ( commodity char(22) NOT NULL, PricingDt date NOT NULL, PRIMARY KEY (commodity), KEY idxPricingDt (PricingDt), ); LOCK TABLES rptPricingTEST a READ;
The source table rptPricingTEST consists of commodity id (which is a concat of several ids), pricing date, and prices (low, hi, avg). I need to generate a report of price change for all commodity for the date interval selected by users. Since this will be a web-based report, to wait for 4 minutes for a response is unacceptable. The actual table has 2 million rows which I guess can take forever to execute.
regards, nyem
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