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Dont want to milk the group too much... on a new a project and doing things I havent done before. This one has bothered me for a week. I tried methods on Jonathan Lewis site and from Guy Harrison's book(which is also on Metalink) and are both slower. Anyway to speed this up? Cant do a bulk bind since we dont have the memory to store all the data.
Both tables have about 2.5 million rows. As of right now we do not have the parallel query option, but do have the partitioning option.
We are in version 8.1.7.3 on a Solaris system.
We have an update statmenet of the form:
UPDATE tab1
SET (col1, col2, etc...) =
(select col1, col2, etc... from tab1 t1,tab2 t2 where tab1.primary_key = tab2.primary_key) WHERE EXISTS (select col1, col2, etc... from tab1 t1,tab2 t2 where col5 in ('A','B','C') and tab1.primary_key = tab2.primary_key))
We have accurate statistics and the CBO does a Hash Join. Both tables are about the asme size. Our 'in' (A,B,C) trims out less than 1% of the rows.
Now the FAQ on Jonathan Lewis's site says to do the following, but this is about 1/3 slower.
UPDATE tab1
SET (col1, col2, etc...) =
(select col1, col2, etc... from tab1 t1,tab2 t2 where tab1.primary_key = tab2.primary_key) WHERE (col1, col2, etc...) IN SELECT (col1,col2,etc... FROM tab2 t2 WHERE col5 in ('A','B','C');
procedure proc is
cursor cur_update is
SELECT t1.rowid rowid, t2.col1, t2.col2, etc...
FROM tab1 t1,tab2 t2
WHERE col5 in ('A','B','C') and
tab1.primary_key = tab2.primary_key;
BEGIN
FOR rec_update IN cur_update
LOOP
UPDATE tab1
SET (col1,col2,etc...) = rec_update.col1,etc...
where rowid = rec_update.rowid;
END LOOP;
END;
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Author: <rgaffuri_at_cox.net
INET: rgaffuri_at_cox.net
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