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git-svn-id: file:///svn/mysql/tests/mysql-test@25461 c7de825b-a66e-492c-adef-691d508d4ae1
157 lines
3 KiB
Text
Executable file
157 lines
3 KiB
Text
Executable file
SET STORAGE_ENGINE = 'tokudb';
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DROP TABLE IF EXISTS foo;
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set session tokudb_prelock_empty=0;
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create table foo (a int, b int, c int, d int, primary key (a), key (b), clustering key (c));
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insert into foo values (1,100,1000,1),(2,20,200,2),(3,300,30,3),(4,4,4,4);
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select * from foo;
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a b c d
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1 100 1000 1
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2 20 200 2
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3 300 30 3
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4 4 4 4
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explain select b,a from foo;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE foo index NULL b 5 NULL 4 Using index
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select b,a from foo;
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b a
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4 4
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20 2
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100 1
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300 3
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select * from foo where c > 0;
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a b c d
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4 4 4 4
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3 300 30 3
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2 20 200 2
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1 100 1000 1
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#
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# only val of primary dictionary and clustering dictionary changes
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#
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update foo set d=d+100;
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select * from foo;
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a b c d
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1 100 1000 101
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2 20 200 102
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3 300 30 103
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4 4 4 104
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explain select b,a from foo;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE foo index NULL b 5 NULL 4 Using index
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select b,a from foo;
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b a
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4 4
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20 2
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100 1
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300 3
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select * from foo where c > 0;
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a b c d
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4 4 4 104
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3 300 30 103
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2 20 200 102
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1 100 1000 101
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#
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# secondary key changes
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#
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update foo set b=b+1;
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select * from foo;
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a b c d
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1 101 1000 101
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2 21 200 102
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3 301 30 103
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4 5 4 104
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explain select b,a from foo;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE foo index NULL b 5 NULL 4 Using index
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select b,a from foo;
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b a
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5 4
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21 2
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101 1
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301 3
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select * from foo where c > 0;
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a b c d
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4 5 4 104
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3 301 30 103
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2 21 200 102
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1 101 1000 101
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#
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# clustering key changes
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#
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update foo set c=c*10;
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select * from foo;
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a b c d
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1 101 10000 101
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2 21 2000 102
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3 301 300 103
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4 5 40 104
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explain select b,a from foo;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE foo index NULL b 5 NULL 4 Using index
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select b,a from foo;
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b a
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5 4
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21 2
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101 1
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301 3
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select * from foo where c > 0;
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a b c d
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4 5 40 104
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3 301 300 103
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2 21 2000 102
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1 101 10000 101
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drop table foo;
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#
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# test updates on single dictionary
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# Two cases: pk changes, pk does not change
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#
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create table foo (a int, b int, primary key (a));
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insert into foo values (1,10),(2,20),(3,30);
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select * from foo;
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a b
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1 10
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2 20
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3 30
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update foo set b=b*10;
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select * from foo;
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a b
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1 100
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2 200
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3 300
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update foo set a=a+10;
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select * From foo;
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a b
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11 100
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12 200
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13 300
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drop table foo;
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#
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# test pk uniqueness check during updates
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# Two cases: have one dict, have more than one dict
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#
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create table foo (a int, b int, c int, primary key (a));
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insert into foo values (1,10,100),(2,20,200),(3,30,300);
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update foo set a=3 where a=1;
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ERROR 23000: Duplicate entry '3' for key 'PRIMARY'
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select * from foo;
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a b c
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1 10 100
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2 20 200
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3 30 300
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alter table foo add clustering key (c);
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update foo set a=3 where a=1;
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ERROR 23000: Duplicate entry '3' for key 'PRIMARY'
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drop table foo;
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#
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# test secondary key uniqueness
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#
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create table foo (a int, b int, c int, primary key (a), unique key (b));
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insert into foo values (1,10,100),(2,20,200),(3,30,300);
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update foo set b=20 where b=10;
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ERROR 23000: Duplicate entry '20' for key 'b'
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update foo set c=c*100;
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select * from foo;
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a b c
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1 10 10000
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2 20 20000
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3 30 30000
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DROP TABLE foo;
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