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190 lines
5.4 KiB
Text
190 lines
5.4 KiB
Text
#
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# Check that ANALYZE TABLE is remembered by MyISAM and Aria
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#
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create table t1 (a int) engine=myisam;
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insert into t1 select seq from seq_0_to_99;
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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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flush tables;
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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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update t1 set a=100 where a=1;
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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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update t1 set a=100 where a=2;
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flush tables;
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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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# Aria transactional=0
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ALTER TABLE t1 ENGINE=aria transactional=0;
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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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update t1 set a=100 where a=10;
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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 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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flush tables;
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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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update t1 set a=100 where a=11;
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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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update t1 set a=100 where a=12;
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flush tables;
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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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# Aria transactional=1
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ALTER TABLE t1 ENGINE=aria transactional=1;
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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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update t1 set a=100 where a=20;
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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 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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flush tables;
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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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update t1 set a=100 where a=21;
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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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update t1 set a=100 where a=22;
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flush tables;
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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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drop table t1;
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#
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# Test that histograms are read after flush
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#
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create table t1 (a int);
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insert into t1 select seq from seq_1_to_10;
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insert into t1 select A.seq from seq_10_to_20 A, seq_1_to_9 B;
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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 format=json select * from t1 where a between 2 and 5;
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EXPLAIN
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{
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"query_block": {
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"select_id": 1,
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"cost": 0.027083745,
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"nested_loop": [
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{
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"table": {
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"table_name": "t1",
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"access_type": "ALL",
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"loops": 1,
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"rows": 109,
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"cost": 0.027083745,
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"filtered": 3.669724703,
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"attached_condition": "t1.a between 2 and 5"
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}
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}
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]
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}
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}
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explain format=json select * from t1 where a between 12 and 15;
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EXPLAIN
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{
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"query_block": {
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"select_id": 1,
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"cost": 0.027083745,
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"nested_loop": [
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{
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"table": {
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"table_name": "t1",
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"access_type": "ALL",
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"loops": 1,
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"rows": 109,
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"cost": 0.027083745,
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"filtered": 33.02752304,
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"attached_condition": "t1.a between 12 and 15"
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}
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}
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]
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}
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}
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flush tables;
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set @@optimizer_use_condition_selectivity=3;
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explain format=json select * from t1 where a between 2 and 5;
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EXPLAIN
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{
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"query_block": {
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"select_id": 1,
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"cost": 0.027083745,
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"nested_loop": [
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{
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"table": {
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"table_name": "t1",
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"access_type": "ALL",
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"loops": 1,
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"rows": 109,
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"cost": 0.027083745,
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"filtered": 15.78947353,
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"attached_condition": "t1.a between 2 and 5"
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}
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}
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]
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}
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}
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set @@optimizer_use_condition_selectivity=4;
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explain format=json select * from t1 where a between 2 and 5;
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EXPLAIN
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{
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"query_block": {
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"select_id": 1,
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"cost": 0.027083745,
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"nested_loop": [
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{
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"table": {
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"table_name": "t1",
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"access_type": "ALL",
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"loops": 1,
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"rows": 109,
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"cost": 0.027083745,
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"filtered": 3.669724703,
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"attached_condition": "t1.a between 2 and 5"
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}
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}
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]
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}
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}
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drop table t1;
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set @@optimizer_use_condition_selectivity=default;
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#
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# End of 10.6 tests
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#
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