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author | unknown <timour@askmonty.org> | 2013-01-17 16:08:05 +0200 |
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committer | unknown <timour@askmonty.org> | 2013-01-17 16:08:05 +0200 |
commit | d51f96b16754cad5d2c9a91bb5b5e0673e59ded0 (patch) | |
tree | 772b0f535ebb2b4a47b3d8333ef5685a8a103cf0 /mysql-test/t/sp.test | |
parent | 8a296e6ca2e55f9f1f3ce25d311291a20ee1c9e7 (diff) | |
download | mariadb-git-d51f96b16754cad5d2c9a91bb5b5e0673e59ded0.tar.gz |
MDEV-3900 Optimizer difference between MySQL and MariaDB with stored functions in WHERE clause of UPDATE or DELETE statements
Analysis
The reason for the less efficient plan was result of a prior design decision -
to limit the eveluation of constant expressions during optimization to only
non-expensive ones. With this approach all stored procedures were considered
expensive, and were not evaluated during optimization. As a result, SPs didn't
participate in range optimization, which resulted in a plan with table scan
rather than index range scan.
Solution
Instead of considering all SPs expensive, consider expensive only those SPs
that are non-deterministic. If an SP is deterministic, the optimizer will
checj if it is constant, and may eventually evaluate it during optimization.
Diffstat (limited to 'mysql-test/t/sp.test')
-rw-r--r-- | mysql-test/t/sp.test | 19 |
1 files changed, 19 insertions, 0 deletions
diff --git a/mysql-test/t/sp.test b/mysql-test/t/sp.test index dcfbe127f8a..0fce174ecb7 100644 --- a/mysql-test/t/sp.test +++ b/mysql-test/t/sp.test @@ -8478,3 +8478,22 @@ CALL p1(1); DROP PROCEDURE p1; +--echo +--echo MDEV-3900 Optimizer difference between MySQL and MariaDB with stored functions in WHERE clause of UPDATE or DELETE statements +--echo + +CREATE FUNCTION tdn() RETURNS int(7) DETERMINISTIC RETURN to_days(now()); + +CREATE TABLE t1 (pk INT NOT NULL AUTO_INCREMENT PRIMARY KEY, daynum INT, a CHAR(1), INDEX(daynum), INDEX(a)) ENGINE=MyISAM; +INSERT INTO t1 (daynum) VALUES (1),(2),(3),(4),(5),(TO_DAYS(NOW())),(7),(8); +INSERT INTO t1 (daynum) SELECT a1.daynum FROM t1 a1, t1 a2, t1 a3, t1 a4, t1 a5; + +FLUSH TABLES; +FLUSH STATUS; + +SHOW STATUS LIKE '%Handler_read%'; +UPDATE t1 SET a = '+' WHERE daynum=tdn(); +SHOW STATUS LIKE '%Handler_read%'; + +drop function tdn; +drop table t1; |