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write_record() when performing REPLACE has an optimization: - if the unique violation happened in the last unique key, then do UPDATE - otherwise, do DELETE+INSERT This patch changes the way of detecting if this optimization can be applied if the table has long (hash based) unique (i.e. UNIQUE..USING HASH) constraints. Problem: The old condition did not take into account that TABLE_SHARE and TABLE see long uniques differently: - TABLE_SHARE sees as HA_KEY_ALG_LONG_HASH and HA_NOSAME - TABLE sees as usual non-unique indexes So the old condition could erroneously decide that the UPDATE optimization is possible when there are still some unique hash constraints in the table. Fix: - If the current key is a long unique, it now works as follows: UPDATE can be done if the current long unique is the last long unique, and there are no in-engine (normal) uniques. - For in-engine uniques nothing changes, it still works as before: If the current key is an in-engine (normal) unique: UPDATE can be done if it is the last normal unique.
95 lines
2 KiB
Text
95 lines
2 KiB
Text
#
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# Start of 10.5 tests
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#
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#
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# MDEV-32837 long unique does not work like unique key when using replace
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#
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#
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# Normal unique key + long unique key
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#
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CREATE TABLE t1 (a INT PRIMARY KEY, b INT, c INT, UNIQUE KEY `test` (b,c) USING HASH) ENGINE=MyISAM;
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INSERT INTO t1 VALUES (1,1,1),(2,2,2);
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FLUSH STATUS;
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REPLACE INTO t1 VALUES (3,1,1);
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SHOW STATUS WHERE Variable_name LIKE 'handler%' AND Value>0;
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Variable_name Value
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Handler_delete 1
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Handler_read_key 2
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Handler_read_rnd 1
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Handler_write 1
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SELECT * FROM t1 ORDER BY a;
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a b c
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2 2 2
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3 1 1
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FLUSH STATUS;
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REPLACE INTO t1 VALUES (3,2,2);
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SHOW STATUS WHERE Variable_name LIKE 'handler%' AND Value>0;
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Variable_name Value
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Handler_delete 1
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Handler_read_key 3
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Handler_read_rnd 2
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Handler_update 1
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Handler_write 1
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SELECT * FROM t1;
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a b c
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3 2 2
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DROP TABLE t1;
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#
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# Two long unique keys
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#
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CREATE TABLE t1 (a INT, b INT, c INT, UNIQUE KEY a (a) USING HASH,UNIQUE KEY `test` (b,c) USING HASH) ENGINE=MyISAM;
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INSERT INTO t1 VALUES (1,1,1),(2,2,2);
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FLUSH STATUS;
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REPLACE INTO t1 VALUES (3,1,1);
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SHOW STATUS WHERE Variable_name LIKE 'handler%' AND Value>0;
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Variable_name Value
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Handler_read_key 3
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Handler_read_rnd 1
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Handler_update 1
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SELECT * FROM t1 ORDER BY a;
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a b c
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2 2 2
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3 1 1
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FLUSH STATUS;
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REPLACE INTO t1 VALUES (3,2,2);
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SHOW STATUS WHERE Variable_name LIKE 'handler%' AND Value>0;
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Variable_name Value
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Handler_delete 1
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Handler_read_key 4
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Handler_read_rnd 2
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Handler_update 1
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SELECT * FROM t1;
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a b c
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3 2 2
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DROP TABLE t1;
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#
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# One long unique key
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#
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CREATE TABLE t1 (a INT, b INT, c INT, UNIQUE KEY `test` (b,c) USING HASH) ENGINE=MyISAM;
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INSERT INTO t1 VALUES (1,1,1),(2,2,2);
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FLUSH STATUS;
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REPLACE INTO t1 VALUES (3,1,1);
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SHOW STATUS WHERE Variable_name LIKE 'handler%' AND Value>0;
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Variable_name Value
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Handler_read_key 1
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Handler_read_rnd 1
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Handler_update 1
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SELECT * FROM t1 ORDER BY a;
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a b c
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2 2 2
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3 1 1
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FLUSH STATUS;
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REPLACE INTO t1 VALUES (3,2,2);
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SHOW STATUS WHERE Variable_name LIKE 'handler%' AND Value>0;
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Variable_name Value
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Handler_read_key 1
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Handler_read_rnd 1
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Handler_update 1
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SELECT * FROM t1;
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a b c
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3 1 1
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3 2 2
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DROP TABLE t1;
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#
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# End of 10.5 tests
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#
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