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23d03a1b1e
use Item->neg to convert generate negative Item_num's instead of Item_func_neg(Item_num). Based on the following commit: Author: Monty <monty@mariadb.org> Date: Mon May 30 22:44:00 2016 +0300 Make negative number their own token The negation (-) operator will call Item->neg() one underlying numeric constants and remove itself (like the NOT() function does today for other NOT functions. This simplifies things - -1 is not anymore an expression but a basic_const_item - improves optimizer - DEFAULT -1 doesn't need special handling anymore - When we add DEFAULT expressions, -1 will be treated exactly like 1 - printing of items doesn't anymore put braces around all negative numbers Other things fixed: - Fixed that longlong converted to decimal's has a more appropriate size - Fixed that "-0.0" read into a decimal is interpreted as 0.0
303 lines
13 KiB
Plaintext
303 lines
13 KiB
Plaintext
#
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# Engine-agnostic tests for statistics-based selectivity calculations.
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# - selectivity tests that depend on the engine should go into
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# t/selectivity.test. That test is run with myisam/innodb/xtradb.
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# - this file is for tests that don't depend on the engine.
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#
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drop table if exists t0,t1,t2,t3;
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select @@global.use_stat_tables;
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@@global.use_stat_tables
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COMPLEMENTARY
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select @@session.use_stat_tables;
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@@session.use_stat_tables
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COMPLEMENTARY
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set @save_use_stat_tables=@@use_stat_tables;
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set use_stat_tables='preferably';
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set @save_optimizer_use_condition_selectivity=@@optimizer_use_condition_selectivity;
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set @save_histogram_size=@@histogram_size;
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set @save_histogram_type=@@histogram_type;
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#
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# MDEV-5917: EITS: different order of predicates in IN (...) causes different estimates
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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 (col1 int);
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# one value in 1..100 range
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insert into t2 select ta.a + tb.a*10 from t1 ta, t1 tb;
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# ten values in 100...200 range
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insert into t2 select 100 + ta.a + tb.a*10 from t1 ta, t1 tb, t1 tc;
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set histogram_type='SINGLE_PREC_HB';
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set histogram_size=100;
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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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# The following two must have the same in 'Extra' column:
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explain extended select * from t2 where col1 IN (20, 180);
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t2 ALL NULL NULL NULL NULL 1100 1.35 Using where
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Warnings:
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Note 1003 select `test`.`t2`.`col1` AS `col1` from `test`.`t2` where (`test`.`t2`.`col1` in (20,180))
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explain extended select * from t2 where col1 IN (180, 20);
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t2 ALL NULL NULL NULL NULL 1100 1.35 Using where
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Warnings:
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Note 1003 select `test`.`t2`.`col1` AS `col1` from `test`.`t2` where (`test`.`t2`.`col1` in (180,20))
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drop table t1, t2;
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#
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# MDEV-5926: EITS: Histogram estimates for column=least_possible_value are wrong
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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(a int);
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insert into t1 select ta.a from t0 ta, t0 tb, t0 tc;
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set histogram_size=20;
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set histogram_type='single_prec_hb';
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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 OK
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set use_stat_tables='preferably';
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set optimizer_use_condition_selectivity=4;
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# Should select about 10%:
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explain extended select * from t1 where a=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 9.52 Using where
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Warnings:
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Note 1003 select `test`.`t1`.`a` AS `a` from `test`.`t1` where (`test`.`t1`.`a` = 2)
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# Should select about 10%:
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explain extended select * from t1 where 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 t1 ALL NULL NULL NULL NULL 1000 9.52 Using where
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Warnings:
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Note 1003 select `test`.`t1`.`a` AS `a` from `test`.`t1` where (`test`.`t1`.`a` = 1)
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# Must not have filtered=100%:
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explain extended select * from t1 where a=0;
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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 9.52 Using where
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Warnings:
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Note 1003 select `test`.`t1`.`a` AS `a` from `test`.`t1` where (`test`.`t1`.`a` = 0)
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# Again, must not have filtered=100%:
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explain extended select * from t1 where 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 t1 ALL NULL NULL NULL NULL 1000 9.52 Using where
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Warnings:
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Note 1003 select `test`.`t1`.`a` AS `a` from `test`.`t1` where (`test`.`t1`.`a` = -1)
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drop table t0, t1;
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#
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# MDEV-4362: Selectivity estimates for IN (...) do not depend on whether the values are in range
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#
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create table t1 (col1 int);
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set @a=-1;
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create table t2 (a int) select (@a:=@a+1) as a from information_schema.session_variables ta limit 100;
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insert into t1 select ta.a from t2 ta, t2 tb where ta.a < 100 and tb.a < 100;
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select min(col1), max(col1), count(*) from t1;
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min(col1) max(col1) count(*)
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0 99 10000
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set histogram_size=100;
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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 OK
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explain extended select * from t1 where col1 in (1,2,3);
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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 10000 3.37 Using where
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Warnings:
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Note 1003 select `test`.`t1`.`col1` AS `col1` from `test`.`t1` where (`test`.`t1`.`col1` in (1,2,3))
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# Must not cause fp division by zero, or produce nonsense numbers:
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explain extended select * from t1 where col1 in (-1,-2,-3);
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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 10000 5.94 Using where
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Warnings:
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Note 1003 select `test`.`t1`.`col1` AS `col1` from `test`.`t1` where (`test`.`t1`.`col1` in (-1,-2,-3))
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explain extended select * from t1 where col1<=-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 t1 ALL NULL NULL NULL NULL 10000 1.00 Using where
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Warnings:
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Note 1003 select `test`.`t1`.`col1` AS `col1` from `test`.`t1` where (`test`.`t1`.`col1` <= -1)
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drop table t1, t2;
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#
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# MDEV-5984: EITS: Incorrect filtered% value for single-table select with range access
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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, b int, col1 varchar(64), col2 varchar(64), key(a,b));
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insert into t2 select ta.a+10*tb.a, tc.a+10*td.a, 'filler-data1', 'filler-data2' from t1 ta, t1 tb, t1 tc, t1 td;
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set histogram_size=100;
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set optimizer_use_condition_selectivity=4;
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set use_stat_tables='preferably';
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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 Table is already up to date
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# This must show filtered=100%:
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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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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t2 range a a 10 NULL 9 100.00 Using index condition
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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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drop table t2, t1;
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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 ta.a, ta.a from t0 ta, t0 tb, t0 tc;
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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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# 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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ta.a,
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tb.a,
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'filler-data-1',
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'filler-data-2'
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from t0 ta, t0 tb, t0 tc;
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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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# MDEV-6209: Assertion `join->best_read < double(1.79769313486231570815e+308L)'
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# failed in bool greedy_search with optimizer_use_condition_selectivity>1
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#
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SET optimizer_use_condition_selectivity = 2;
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CREATE TABLE t1 (a CHAR(6), b INT, PRIMARY KEY (a,b)) ENGINE=MyISAM;
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INSERT INTO t1 VALUES ('foo',1),('bar',2);
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SELECT * FROM t1 AS t1_1, t1 AS t1_2 WHERE NOT ( t1_1.a <> 'baz');
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a b a b
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DROP TABLE t1;
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#
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# MDEV-6308: Server crashes in table_multi_eq_cond_selectivity with ...
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#
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CREATE TABLE t1 (
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id varchar(40) COLLATE utf8_bin,
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dt datetime,
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PRIMARY KEY (id)
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);
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INSERT INTO t1 VALUES ('foo','2011-04-12 05:18:08'),
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('bar','2013-09-19 11:37:03');
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CREATE TABLE t2 (
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t1_id varchar(40) COLLATE utf8_bin,
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f1 varchar(64),
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f2 varchar(1024),
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KEY (f1,f2(255))
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);
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INSERT INTO t2 VALUES ('foo','baz','qux'),('bar','baz','qux');
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set optimizer_use_condition_selectivity=2;
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explain
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select * from t1,t2 where t1.id = t2.t1_id and t2.f2='qux' and t2.f1='baz';
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE t2 ref f1 f1 325 const,const 1 Using index condition; Using where
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1 SIMPLE t1 eq_ref PRIMARY PRIMARY 122 test.t2.t1_id 1
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select * from t1,t2 where t1.id = t2.t1_id and t2.f2='qux' and t2.f1='baz';
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id dt t1_id f1 f2
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foo 2011-04-12 05:18:08 foo baz qux
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bar 2013-09-19 11:37:03 bar baz qux
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drop table t1,t2;
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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 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(a int);
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insert into t1 select ta.a + tb.a* 10 + tc.a * 100 from t0 ta, t0 tb, t0 tc;
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create table t2 as select * from t1;
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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 OK
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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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# Filtered will be 4.95, 9.90
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explain extended select * from t1 ta, t2 tb where ta.a < 40 and tb.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 ta ALL NULL NULL NULL NULL 1000 4.95 Using where
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1 SIMPLE tb 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`.`ta`.`a` AS `a`,`test`.`tb`.`a` AS `a` from `test`.`t1` `ta` join `test`.`t2` `tb` where ((`test`.`ta`.`a` < 40) and (`test`.`tb`.`a` < 100))
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# Here, tb.filtered should not become 100%:
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explain extended select * from t1 ta, t2 tb where ta.a < 40 and tb.a < 100 and tb.a=ta.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 ta ALL NULL NULL NULL NULL 1000 4.95 Using where
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1 SIMPLE tb 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`.`ta`.`a` AS `a`,`test`.`tb`.`a` AS `a` from `test`.`t1` `ta` join `test`.`t2` `tb` where ((`test`.`tb`.`a` = `test`.`ta`.`a`) and (`test`.`ta`.`a` < 40) and (`test`.`ta`.`a` < 100))
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drop table t0,t1,t2;
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#
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# MDEV-8779: mysqld got signal 11 in sql/opt_range_mrr.cc:100(step_down_to)
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#
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set @tmp_mdev8779=@@optimizer_use_condition_selectivity;
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set optimizer_use_condition_selectivity=5;
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CREATE TABLE t1 (
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i int(10) unsigned NOT NULL AUTO_INCREMENT,
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n varchar(2048) NOT NULL,
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d tinyint(1) unsigned NOT NULL,
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p int(10) unsigned NOT NULL,
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PRIMARY KEY (i)
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) DEFAULT CHARSET=utf8;
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insert into t1 values (1,'aaa',1,1), (2,'bbb',2,2);
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SELECT * FROM t1 WHERE t1.d = 0 AND t1.p = '1' AND t1.i != '-1' AND t1.n = 'some text';
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i n d p
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set optimizer_use_condition_selectivity= @tmp_mdev8779;
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DROP TABLE t1;
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#
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# End of the test file
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#
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set use_stat_tables= @save_use_stat_tables;
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set histogram_type=@save_histogram_type;
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set histogram_size=@save_histogram_size;
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set optimizer_use_condition_selectivity=@save_optimizer_use_condition_selectivity;
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