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MDEV-5980: EITS: if condition is used for REF access, its selectivity is still in filtered%
MDEV-5985: EITS: selectivity estimates look illogical for join and non-key equalities MDEV-6003: EITS: ref access, keypart2=const vs keypart2=expr - inconsistent filtered% value - Made a number of fixes in table_cond_selectivity() so that it returns correct selectivity estimates. - Added comments in related code.
This commit is contained in:
@ -139,6 +139,118 @@ Warnings:
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Note 1003 select `test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b`,`test`.`t2`.`col1` AS `col1`,`test`.`t2`.`col2` AS `col2` from `test`.`t2` where ((`test`.`t2`.`a` in (1,2,3)) and (`test`.`t2`.`b` in (1,2,3)))
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Note 1003 select `test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b`,`test`.`t2`.`col1` AS `col1`,`test`.`t2`.`col2` AS `col2` from `test`.`t2` where ((`test`.`t2`.`a` in (1,2,3)) and (`test`.`t2`.`b` in (1,2,3)))
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drop table t2, t1;
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drop table t2, t1;
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#
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#
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# MDEV-5980: EITS: if condition is used for REF access, its selectivity is still in filtered%
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#
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create table t0(a int);
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insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
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create table t1(key1 int, col1 int, key(key1));
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insert into t1 select A.a, A.a from t0 A, t0 B, t0 C;
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set histogram_size=100;
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set use_stat_tables='preferably';
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set optimizer_use_condition_selectivity=4;
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analyze table t1 persistent for all;
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Table Op Msg_type Msg_text
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test.t1 analyze status Engine-independent statistics collected
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test.t1 analyze status Table is already up to date
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# 10% is ok
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explain extended select * from t1 where col1=2;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 9.90 Using where
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Warnings:
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Note 1003 select `test`.`t1`.`key1` AS `key1`,`test`.`t1`.`col1` AS `col1` from `test`.`t1` where (`test`.`t1`.`col1` = 2)
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# Must show 100%, not 10%
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explain extended select * from t1 where key1=2;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t1 ref key1 key1 5 const 98 100.00
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Warnings:
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Note 1003 select `test`.`t1`.`key1` AS `key1`,`test`.`t1`.`col1` AS `col1` from `test`.`t1` where (`test`.`t1`.`key1` = 2)
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drop table t0, t1;
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#
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# MDEV-5985: EITS: selectivity estimates look illogical for join and non-key equalities
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#
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create table t1(a int);
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insert into t1 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
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create table t2(a int);
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insert into t2 select A.a + B.a* 10 + C.a * 100 from t1 A, t1 B, t1 C;
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create table t3 as select * from t2;
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set histogram_size=100;
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set use_stat_tables='preferably';
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set optimizer_use_condition_selectivity=4;
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analyze table t2 persistent for all;
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Table Op Msg_type Msg_text
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test.t2 analyze status Engine-independent statistics collected
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test.t2 analyze status OK
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analyze table t3 persistent for all;
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Table Op Msg_type Msg_text
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test.t3 analyze status Engine-independent statistics collected
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test.t3 analyze status OK
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explain extended select * from t2 A where A.a < 40;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE A ALL NULL NULL NULL NULL 1000 4.95 Using where
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Warnings:
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Note 1003 select `test`.`A`.`a` AS `a` from `test`.`t2` `A` where (`test`.`A`.`a` < 40)
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explain extended select * from t3 B where B.a < 100;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE B ALL NULL NULL NULL NULL 1000 9.90 Using where
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Warnings:
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Note 1003 select `test`.`B`.`a` AS `a` from `test`.`t3` `B` where (`test`.`B`.`a` < 100)
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explain extended select * from t2 A, t3 B where A.a < 40 and B.a < 100;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE A ALL NULL NULL NULL NULL 1000 4.95 Using where
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1 SIMPLE B ALL NULL NULL NULL NULL 1000 9.90 Using where; Using join buffer (flat, BNL join)
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Warnings:
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Note 1003 select `test`.`A`.`a` AS `a`,`test`.`B`.`a` AS `a` from `test`.`t2` `A` join `test`.`t3` `B` where ((`test`.`A`.`a` < 40) and (`test`.`B`.`a` < 100))
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explain extended select * from t2 A, t3 B where A.a < 40 and B.a < 100 and B.a=A.a;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE A ALL NULL NULL NULL NULL 1000 4.95 Using where
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1 SIMPLE B ALL NULL NULL NULL NULL 1000 4.95 Using where; Using join buffer (flat, BNL join)
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Warnings:
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Note 1003 select `test`.`A`.`a` AS `a`,`test`.`B`.`a` AS `a` from `test`.`t2` `A` join `test`.`t3` `B` where ((`test`.`B`.`a` = `test`.`A`.`a`) and (`test`.`A`.`a` < 40) and (`test`.`A`.`a` < 100))
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drop table t1, t2, t3;
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select 1;
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1
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1
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#
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# MDEV-6003: EITS: ref access, keypart2=const vs keypart2=expr - inconsistent filtered% value
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#
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create table t0(a int);
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insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
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create table t1 (
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kp1 int, kp2 int,
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filler1 char(100),
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filler2 char(100),
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key(kp1, kp2)
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);
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insert into t1
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select
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A.a,
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B.a,
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'filler-data-1',
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'filler-data-2'
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from t0 A, t0 B, t0 C;
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set histogram_size=100;
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set use_stat_tables='preferably';
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set optimizer_use_condition_selectivity=4;
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analyze table t1 persistent for all;
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Table Op Msg_type Msg_text
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test.t1 analyze status Engine-independent statistics collected
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test.t1 analyze status Table is already up to date
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# NOTE: 10*100%, 10*100% rows is ok
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explain extended select * from t0, t1 where t1.kp1=t0.a and t1.kp2=t0.a+1;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t0 ALL NULL NULL NULL NULL 10 100.00 Using where
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1 SIMPLE t1 ref kp1 kp1 10 test.t0.a,func 10 100.00 Using index condition
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Warnings:
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Note 1003 select `test`.`t0`.`a` AS `a`,`test`.`t1`.`kp1` AS `kp1`,`test`.`t1`.`kp2` AS `kp2`,`test`.`t1`.`filler1` AS `filler1`,`test`.`t1`.`filler2` AS `filler2` from `test`.`t0` join `test`.`t1` where ((`test`.`t1`.`kp1` = `test`.`t0`.`a`) and (`test`.`t1`.`kp2` = (`test`.`t0`.`a` + 1)))
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# NOTE: t0: 10*100% is ok, t1: 10*9.90% is bad. t1 should have 10*100%.
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explain extended select * from t0, t1 where t1.kp1=t0.a and t1.kp2=4;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t0 ALL NULL NULL NULL NULL 10 100.00 Using where
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1 SIMPLE t1 ref kp1 kp1 10 test.t0.a,const 10 100.00
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Warnings:
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Note 1003 select `test`.`t0`.`a` AS `a`,`test`.`t1`.`kp1` AS `kp1`,`test`.`t1`.`kp2` AS `kp2`,`test`.`t1`.`filler1` AS `filler1`,`test`.`t1`.`filler2` AS `filler2` from `test`.`t0` join `test`.`t1` where ((`test`.`t1`.`kp1` = `test`.`t0`.`a`) and (`test`.`t1`.`kp2` = 4))
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drop table t0, t1;
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#
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# End of the test file
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# End of the test file
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#
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#
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set use_stat_tables= @save_use_stat_tables;
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set use_stat_tables= @save_use_stat_tables;
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@ -101,6 +101,78 @@ analyze table t2 persistent for all;
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explain extended select * from t2 where a in (1,2,3) and b in (1,2,3);
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explain extended select * from t2 where a in (1,2,3) and b in (1,2,3);
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drop table t2, t1;
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drop table t2, t1;
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--echo #
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--echo # MDEV-5980: EITS: if condition is used for REF access, its selectivity is still in filtered%
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--echo #
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create table t0(a int);
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insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
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create table t1(key1 int, col1 int, key(key1));
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insert into t1 select A.a, A.a from t0 A, t0 B, t0 C;
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set histogram_size=100;
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set use_stat_tables='preferably';
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set optimizer_use_condition_selectivity=4;
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analyze table t1 persistent for all;
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--echo # 10% is ok
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explain extended select * from t1 where col1=2;
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--echo # Must show 100%, not 10%
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explain extended select * from t1 where key1=2;
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drop table t0, t1;
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##--disable_parsing
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--echo #
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--echo # MDEV-5985: EITS: selectivity estimates look illogical for join and non-key equalities
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--echo #
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create table t1(a int);
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insert into t1 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
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create table t2(a int);
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insert into t2 select A.a + B.a* 10 + C.a * 100 from t1 A, t1 B, t1 C;
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create table t3 as select * from t2;
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set histogram_size=100;
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set use_stat_tables='preferably';
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set optimizer_use_condition_selectivity=4;
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analyze table t2 persistent for all;
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analyze table t3 persistent for all;
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explain extended select * from t2 A where A.a < 40;
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explain extended select * from t3 B where B.a < 100;
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explain extended select * from t2 A, t3 B where A.a < 40 and B.a < 100;
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explain extended select * from t2 A, t3 B where A.a < 40 and B.a < 100 and B.a=A.a;
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drop table t1, t2, t3;
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## --enable_parsing
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select 1;
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##--disable_parsing
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--echo #
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--echo # MDEV-6003: EITS: ref access, keypart2=const vs keypart2=expr - inconsistent filtered% value
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--echo #
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create table t0(a int);
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insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
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create table t1 (
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kp1 int, kp2 int,
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filler1 char(100),
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filler2 char(100),
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key(kp1, kp2)
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);
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insert into t1
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select
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A.a,
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B.a,
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'filler-data-1',
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'filler-data-2'
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from t0 A, t0 B, t0 C;
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set histogram_size=100;
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set use_stat_tables='preferably';
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set optimizer_use_condition_selectivity=4;
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analyze table t1 persistent for all;
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--echo # NOTE: 10*100%, 10*100% rows is ok
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explain extended select * from t0, t1 where t1.kp1=t0.a and t1.kp2=t0.a+1;
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--echo # NOTE: t0: 10*100% is ok, t1: 10*9.90% is bad. t1 should have 10*100%.
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explain extended select * from t0, t1 where t1.kp1=t0.a and t1.kp2=4;
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drop table t0, t1;
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##--enable_parsing
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--echo #
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--echo #
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--echo # End of the test file
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--echo # End of the test file
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--echo #
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--echo #
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@ -3406,6 +3406,10 @@ double records_in_column_ranges(PARAM *param, uint idx,
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selectivity (this is used for conditions like "column LIKE '%val%'"
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selectivity (this is used for conditions like "column LIKE '%val%'"
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where approaches #1 and #2 do not provide selectivity data).
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where approaches #1 and #2 do not provide selectivity data).
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SEE ALSO
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table_cond_selectivity()
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matching_candidates_in_table()
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NOTE
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NOTE
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Currently the selectivities of range conditions over different columns are
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Currently the selectivities of range conditions over different columns are
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considered independent.
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considered independent.
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@ -7165,8 +7165,18 @@ double table_multi_eq_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
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the current value of sel by this selectivity
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the current value of sel by this selectivity
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*/
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*/
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table_map used_tables= item_equal->used_tables();
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table_map used_tables= item_equal->used_tables();
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/*
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Equalities that do not include fields in this table do not matter
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*/
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if (!(used_tables & table_bit))
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if (!(used_tables & table_bit))
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continue;
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continue;
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/*
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Equalities that include a constant are taken into account in
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table->cond_selectivity. Selectivity from there is taken into account
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in matching_candidates_in_table() and/or table_cond_selectivity().
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*/
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if (item_equal->get_const())
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if (item_equal->get_const())
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continue;
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continue;
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@ -7178,14 +7188,23 @@ double table_multi_eq_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
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Field *fld= fi.get_curr_field();
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Field *fld= fi.get_curr_field();
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if (fld->table->map != table_bit)
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if (fld->table->map != table_bit)
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continue;
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continue;
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if (pos->key == 0)
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if (pos->key == 0)
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{
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/*
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No ref access used (and no const in the multi-equality). We will
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need to adjust the selectivity.
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*/
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adjust_sel= TRUE;
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adjust_sel= TRUE;
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}
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else
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else
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{
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{
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/* Ok, [eq]ref access is used */
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uint i;
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uint i;
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KEYUSE *keyuse= pos->key;
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KEYUSE *keyuse= pos->key;
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uint key= keyuse->key;
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uint key= keyuse->key;
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/* Find which keypart participates in the equality */
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for (i= 0; i < keyparts; i++)
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for (i= 0; i < keyparts; i++)
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{
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{
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uint fldno;
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uint fldno;
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@ -7196,6 +7215,7 @@ double table_multi_eq_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
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if (fld->field_index == fldno)
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if (fld->field_index == fldno)
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break;
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break;
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}
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}
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if (i == keyparts)
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if (i == keyparts)
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{
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{
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/*
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/*
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@ -7221,6 +7241,7 @@ double table_multi_eq_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
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}
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}
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}
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}
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}
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}
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if (adjust_sel)
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if (adjust_sel)
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{
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{
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/*
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/*
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@ -7266,6 +7287,10 @@ double table_multi_eq_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
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For other access methods, we need to calculate selectivity of the whole
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For other access methods, we need to calculate selectivity of the whole
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condition, "COND(this_table) AND COND(this_table, previous_tables)".
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condition, "COND(this_table) AND COND(this_table, previous_tables)".
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@seealso
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calculate_cond_selectivity_for_table()
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matching_candidates_in_table()
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@retval
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@retval
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selectivity of the conditions imposed on the rows of s
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selectivity of the conditions imposed on the rows of s
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@ -7276,9 +7301,7 @@ double table_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
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table_map rem_tables)
|
table_map rem_tables)
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{
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{
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uint16 ref_keyuse_steps[MAX_REF_PARTS - 1];
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uint16 ref_keyuse_steps[MAX_REF_PARTS - 1];
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Field *field;
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TABLE *table= s->table;
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TABLE *table= s->table;
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MY_BITMAP *read_set= table->read_set;
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double sel= s->table->cond_selectivity;
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double sel= s->table->cond_selectivity;
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POSITION *pos= &join->positions[idx];
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POSITION *pos= &join->positions[idx];
|
||||||
uint keyparts= 0;
|
uint keyparts= 0;
|
||||||
@ -7287,23 +7310,79 @@ double table_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
|
|||||||
if (pos->key != 0)
|
if (pos->key != 0)
|
||||||
{
|
{
|
||||||
/*
|
/*
|
||||||
A ref access or hash join is used for this table.
|
A ref access or hash join is used for this table. ref access is created
|
||||||
|
from
|
||||||
|
|
||||||
It could have some parts with "t.key_part=const". Using ref access
|
tbl.keypart1=expr1 AND tbl.keypart2=expr2 AND ...
|
||||||
means that we will only get records where the condition holds, so we
|
|
||||||
should remove its selectivity from the condition selectivity.
|
|
||||||
|
|
||||||
|
and it will only return rows for which this condition is satisified.
|
||||||
|
Suppose, certain expr{i} is a constant. Since ref access only returns
|
||||||
|
rows that satisfy
|
||||||
|
|
||||||
|
tbl.keypart{i}=const (*)
|
||||||
|
|
||||||
|
then selectivity of this equality should not be counted in return value
|
||||||
|
of this function. This function uses the value of
|
||||||
|
|
||||||
|
table->cond_selectivity=selectivity(COND(tbl))
|
||||||
|
|
||||||
|
as a starting point. This value includes selectivity of equality (*). We
|
||||||
|
should somehow discount it.
|
||||||
|
|
||||||
|
Looking at calculate_cond_selectivity_for_table(), one can see that that
|
||||||
|
value is not necessarily a direct multiplicand in table->cond_selectivity
|
||||||
|
|
||||||
|
There are three possible ways to discount
|
||||||
|
1. There is a range access on t.keypart{i}=const.
|
||||||
|
(an important special case: multi-keypart ref(const) access)
|
||||||
|
|
||||||
|
2. The field has a histogram. field[x]->cond_selectivity has the data.
|
||||||
|
|
||||||
|
3. Use index stats on this index:
|
||||||
|
rec_per_key[key_part+1]/rec_per_key[key_part]
|
||||||
|
|
||||||
(TODO: more details about the "t.key=othertable.col" case)
|
(TODO: more details about the "t.key=othertable.col" case)
|
||||||
*/
|
*/
|
||||||
KEYUSE *keyuse= pos->key;
|
KEYUSE *keyuse= pos->key;
|
||||||
KEYUSE *prev_ref_keyuse= keyuse;
|
KEYUSE *prev_ref_keyuse= keyuse;
|
||||||
uint key= keyuse->key;
|
uint key= keyuse->key;
|
||||||
do
|
|
||||||
|
/*
|
||||||
|
Check if we have a prefix of key=const that matches a quick select.
|
||||||
|
*/
|
||||||
|
if (!is_hash_join_key_no(key))
|
||||||
|
{
|
||||||
|
table_map quick_key_map= (table_map(1) << table->quick_key_parts[key]) - 1;
|
||||||
|
if (table->quick_rows[key] &&
|
||||||
|
!(quick_key_map & ~table->const_key_parts[key]))
|
||||||
|
{
|
||||||
|
/*
|
||||||
|
Ok, there is an equality for each of the key parts used by the
|
||||||
|
quick select. This means, quick select's estimate can be reused to
|
||||||
|
discount the selectivity of a prefix of a ref access.
|
||||||
|
*/
|
||||||
|
for (; quick_key_map & 1 ; quick_key_map>>= 1)
|
||||||
|
{
|
||||||
|
while (keyuse->keypart == keyparts)
|
||||||
|
keyuse++;
|
||||||
|
keyparts++;
|
||||||
|
}
|
||||||
|
sel /= table->quick_rows[key] / table->stat_records();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/*
|
||||||
|
Go through the "keypart{N}=..." equalities and find those that were
|
||||||
|
already taken into account in table->cond_selectivity.
|
||||||
|
*/
|
||||||
|
//do
|
||||||
|
while (keyuse->table == table && keyuse->key == key)
|
||||||
{
|
{
|
||||||
if (!(keyuse->used_tables & (rem_tables | table->map)))
|
if (!(keyuse->used_tables & (rem_tables | table->map)))
|
||||||
{
|
{
|
||||||
if (are_tables_local(s, keyuse->val->used_tables()))
|
if (are_tables_local(s, keyuse->val->used_tables()))
|
||||||
{
|
{ /// ^^ why val->used_tables here but just
|
||||||
|
/// used_tables above?
|
||||||
if (is_hash_join_key_no(key))
|
if (is_hash_join_key_no(key))
|
||||||
{
|
{
|
||||||
if (keyparts == keyuse->keypart)
|
if (keyparts == keyuse->keypart)
|
||||||
@ -7312,22 +7391,40 @@ double table_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
|
|||||||
else
|
else
|
||||||
{
|
{
|
||||||
if (keyparts == keyuse->keypart &&
|
if (keyparts == keyuse->keypart &&
|
||||||
!(~(keyuse->val->used_tables()) & pos->ref_depend_map) &&
|
!((keyuse->val->used_tables()) & ~pos->ref_depend_map) &&
|
||||||
!(found_part_ref_or_null & keyuse->optimize))
|
!(found_part_ref_or_null & keyuse->optimize))
|
||||||
{
|
{
|
||||||
|
/* Found a KEYUSE object that will be used by ref access */
|
||||||
keyparts++;
|
keyparts++;
|
||||||
found_part_ref_or_null|= keyuse->optimize & ~KEY_OPTIMIZE_EQ;
|
found_part_ref_or_null|= keyuse->optimize & ~KEY_OPTIMIZE_EQ;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
if (keyparts > keyuse->keypart)
|
if (keyparts > keyuse->keypart)
|
||||||
{
|
{
|
||||||
|
/* Ok this is the keyuse that will be used for ref access */
|
||||||
uint fldno;
|
uint fldno;
|
||||||
if (is_hash_join_key_no(key))
|
if (is_hash_join_key_no(key))
|
||||||
fldno= keyuse->keypart;
|
fldno= keyuse->keypart;
|
||||||
else
|
else
|
||||||
fldno= table->key_info[key].key_part[keyparts-1].fieldnr - 1;
|
fldno= table->key_info[key].key_part[keyparts-1].fieldnr - 1;
|
||||||
if (keyuse->val->const_item())
|
if (keyuse->val->const_item())
|
||||||
sel*= table->field[fldno]->cond_selectivity;
|
{
|
||||||
|
// psergey: not multiply, divide instead.
|
||||||
|
// before, we've had:
|
||||||
|
// sel*= table->field[fldno]->cond_selectivity;
|
||||||
|
|
||||||
|
sel /= table->field[fldno]->cond_selectivity;
|
||||||
|
/*
|
||||||
|
TODO: we could do better here:
|
||||||
|
1. cond_selectivity might be =1 (the default) because quick
|
||||||
|
select on some index prevented us from analyzing
|
||||||
|
histogram for this column.
|
||||||
|
2. we could get an estimate through this?
|
||||||
|
rec_per_key[key_part-1] / rec_per_key[key_part]
|
||||||
|
*/
|
||||||
|
}
|
||||||
if (keyparts > 1)
|
if (keyparts > 1)
|
||||||
{
|
{
|
||||||
ref_keyuse_steps[keyparts-2]= keyuse - prev_ref_keyuse;
|
ref_keyuse_steps[keyparts-2]= keyuse - prev_ref_keyuse;
|
||||||
@ -7337,14 +7434,16 @@ double table_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
keyuse++;
|
keyuse++;
|
||||||
} while (keyuse->table == table && keyuse->key == key);
|
}
|
||||||
}
|
}
|
||||||
else
|
else
|
||||||
{
|
{
|
||||||
/*
|
/*
|
||||||
The table is accessed with full table scan, or quick select.
|
The table is accessed with full table scan, or quick select.
|
||||||
Selectivity of COND(table) is already accounted for in
|
Selectivity of COND(this_table) is already accounted for in
|
||||||
matching_candidates_in_table().
|
matching_candidates_in_table().
|
||||||
|
For COND(this_table, previous_tables) we don't have any meaningful
|
||||||
|
estimates.
|
||||||
*/
|
*/
|
||||||
sel= 1;
|
sel= 1;
|
||||||
}
|
}
|
||||||
@ -7353,7 +7452,30 @@ double table_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
|
|||||||
If the field f from the table is equal to a field from one the
|
If the field f from the table is equal to a field from one the
|
||||||
earlier joined tables then the selectivity of the range conditions
|
earlier joined tables then the selectivity of the range conditions
|
||||||
over the field f must be discounted.
|
over the field f must be discounted.
|
||||||
|
|
||||||
|
psergey: I think this is wrong. Example:
|
||||||
|
|
||||||
|
## no keys used
|
||||||
|
select * from t1, t2 where t1.col=t2.col and t2.col<5
|
||||||
|
|
||||||
|
## a variant with key:
|
||||||
|
select * from t1, t2 where t1.col=t2.col and t2.col<5 and t2.key=t1.col2
|
||||||
|
|
||||||
|
suppose the join order is t1, t2. Attached conditions:
|
||||||
|
|
||||||
|
t1: t2.col<3
|
||||||
|
t2: [t2.col=t1.col] AND t2.col<3
|
||||||
|
|
||||||
|
Suppose, we're now looking at selectivity for table t2.
|
||||||
|
- in case t2 uses full table scan (or quick select): all selectivity is
|
||||||
|
already accounted for in matching_candidates_in_table(). [YES. CHECKED]
|
||||||
|
- in case t2 uses ref access
|
||||||
|
= if the equality is used for ref access, we have already
|
||||||
|
discounted its selectivity above.
|
||||||
|
= if the equality is not used for ref access, we should still count its
|
||||||
|
selectivity.
|
||||||
*/
|
*/
|
||||||
|
#if 0
|
||||||
for (Field **f_ptr=table->field ; (field= *f_ptr) ; f_ptr++)
|
for (Field **f_ptr=table->field ; (field= *f_ptr) ; f_ptr++)
|
||||||
{
|
{
|
||||||
if (!bitmap_is_set(read_set, field->field_index) ||
|
if (!bitmap_is_set(read_set, field->field_index) ||
|
||||||
@ -7371,6 +7493,7 @@ double table_cond_selectivity(JOIN *join, uint idx, JOIN_TAB *s,
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
#endif
|
||||||
|
|
||||||
sel*= table_multi_eq_cond_selectivity(join, idx, s, rem_tables,
|
sel*= table_multi_eq_cond_selectivity(join, idx, s, rem_tables,
|
||||||
keyparts, ref_keyuse_steps);
|
keyparts, ref_keyuse_steps);
|
||||||
|
Reference in New Issue
Block a user