diff options
Diffstat (limited to 'mysql-test')
32 files changed, 9286 insertions, 204 deletions
diff --git a/mysql-test/include/default_mysqld.cnf b/mysql-test/include/default_mysqld.cnf index 4788fbb7ff6..49fb03ecc57 100644 --- a/mysql-test/include/default_mysqld.cnf +++ b/mysql-test/include/default_mysqld.cnf @@ -118,6 +118,7 @@ binlog-direct-non-transactional-updates default-storage-engine=myisam use_stat_tables=preferably +histogram_type=json_hb loose-ssl-ca=@ENV.MYSQL_TEST_DIR/std_data/cacert.pem loose-ssl-cert=@ENV.MYSQL_TEST_DIR/std_data/server-cert.pem diff --git a/mysql-test/include/histogram_replaces.inc b/mysql-test/include/histogram_replaces.inc new file mode 100644 index 00000000000..4cea1b05709 --- /dev/null +++ b/mysql-test/include/histogram_replaces.inc @@ -0,0 +1 @@ +--source include/json_hb_histogram.inc diff --git a/mysql-test/include/json_hb_histogram.inc b/mysql-test/include/json_hb_histogram.inc new file mode 100644 index 00000000000..0820fb5fccb --- /dev/null +++ b/mysql-test/include/json_hb_histogram.inc @@ -0,0 +1,3 @@ +# Remove non-deterministic parts of JSON_HB histogram + +--replace_regex /("(collected_at|collected_by)": )"[^"]*"/\1"REPLACED"/ diff --git a/mysql-test/main/derived_cond_pushdown.result b/mysql-test/main/derived_cond_pushdown.result index 3b7de95118b..88c82e25b7f 100644 --- a/mysql-test/main/derived_cond_pushdown.result +++ b/mysql-test/main/derived_cond_pushdown.result @@ -18387,7 +18387,7 @@ explain extended select t2.a,t2.b,t2.c,t.c as t_c,t.max,t.min from t2, t3, (select c, max(b) max, min(b) min from t4 group by c) t where t2.b < 40 and t2.a=t3.a and t3.c=t.c; id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t2 ALL NULL NULL NULL NULL 90 63.28 Using where +1 PRIMARY t2 ALL NULL NULL NULL NULL 90 60.00 Using where 1 PRIMARY t3 ref idx_a idx_a 5 test.t2.a 1 100.00 Using where 1 PRIMARY <derived2> ref key0 key0 128 test.t3.c 10 100.00 2 DERIVED t4 ALL idx_c NULL NULL NULL 160 100.00 Using temporary; Using filesort @@ -18406,7 +18406,7 @@ EXPLAIN "table_name": "t2", "access_type": "ALL", "rows": 90, - "filtered": 63.28125, + "filtered": 60, "attached_condition": "t2.b < 40 and t2.a is not null" } }, @@ -18910,7 +18910,7 @@ explain extended select * from t2, t3, (select c, b, sum(b) over (partition by c) from t4 ) t where t2.b < 40 and t2.a=t3.a and t3.c=t.c; id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t2 ALL NULL NULL NULL NULL 90 63.28 Using where +1 PRIMARY t2 ALL NULL NULL NULL NULL 90 60.00 Using where 1 PRIMARY t3 ref idx_a idx_a 5 test.t2.a 1 100.00 Using where 1 PRIMARY <derived2> ref key0 key0 128 test.t3.c 10 100.00 2 DERIVED t4 ALL idx_c NULL NULL NULL 160 100.00 Using temporary @@ -18929,7 +18929,7 @@ EXPLAIN "table_name": "t2", "access_type": "ALL", "rows": 90, - "filtered": 63.28125, + "filtered": 60, "attached_condition": "t2.b < 40 and t2.a is not null" } }, diff --git a/mysql-test/main/group_min_max.result b/mysql-test/main/group_min_max.result index c7164fcc74c..3195ec79c2d 100644 --- a/mysql-test/main/group_min_max.result +++ b/mysql-test/main/group_min_max.result @@ -2080,19 +2080,19 @@ id select_type table type possible_keys key key_len ref rows Extra explain extended select a1,a2,min(b),max(b) from t1 where (a1 = 'b' or a1 = 'd' or a1 = 'a' or a1 = 'c') and (a2 > 'a') and (c > 'a111') group by a1,a2; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 range idx_t1_0,idx_t1_1,idx_t1_2 idx_t1_1 130 NULL 276 99.22 Using where; Using index +1 SIMPLE t1 range idx_t1_0,idx_t1_1,idx_t1_2 idx_t1_1 130 NULL 276 98.44 Using where; Using index Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2`,min(`test`.`t1`.`b`) AS `min(b)`,max(`test`.`t1`.`b`) AS `max(b)` from `test`.`t1` where (`test`.`t1`.`a1` = 'b' or `test`.`t1`.`a1` = 'd' or `test`.`t1`.`a1` = 'a' or `test`.`t1`.`a1` = 'c') and `test`.`t1`.`a2` > 'a' and `test`.`t1`.`c` > 'a111' group by `test`.`t1`.`a1`,`test`.`t1`.`a2` explain extended select a1,a2,b,min(c),max(c) from t1 where (a1 = 'b' or a1 = 'd' or a1 = 'a' or a1 = 'c') and (a2 > 'a') and (d > 'xy2') group by a1,a2,b; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL idx_t1_0,idx_t1_1,idx_t1_2 NULL NULL NULL 512 40.43 Using where; Using temporary; Using filesort +1 SIMPLE t1 ALL idx_t1_0,idx_t1_1,idx_t1_2 NULL NULL NULL 512 26.95 Using where; Using temporary; Using filesort Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2`,`test`.`t1`.`b` AS `b`,min(`test`.`t1`.`c`) AS `min(c)`,max(`test`.`t1`.`c`) AS `max(c)` from `test`.`t1` where (`test`.`t1`.`a1` = 'b' or `test`.`t1`.`a1` = 'd' or `test`.`t1`.`a1` = 'a' or `test`.`t1`.`a1` = 'c') and `test`.`t1`.`a2` > 'a' and `test`.`t1`.`d` > 'xy2' group by `test`.`t1`.`a1`,`test`.`t1`.`a2`,`test`.`t1`.`b` explain extended select a1,a2,b,c from t1 where (a1 = 'b' or a1 = 'd' or a1 = 'a' or a1 = 'c') and (a2 > 'a') and (d > 'xy2') group by a1,a2,b,c; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL idx_t1_0,idx_t1_1,idx_t1_2 NULL NULL NULL 512 40.43 Using where; Using temporary; Using filesort +1 SIMPLE t1 ALL idx_t1_0,idx_t1_1,idx_t1_2 NULL NULL NULL 512 26.95 Using where; Using temporary; Using filesort Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2`,`test`.`t1`.`b` AS `b`,`test`.`t1`.`c` AS `c` from `test`.`t1` where (`test`.`t1`.`a1` = 'b' or `test`.`t1`.`a1` = 'd' or `test`.`t1`.`a1` = 'a' or `test`.`t1`.`a1` = 'c') and `test`.`t1`.`a2` > 'a' and `test`.`t1`.`d` > 'xy2' group by `test`.`t1`.`a1`,`test`.`t1`.`a2`,`test`.`t1`.`b`,`test`.`t1`.`c` explain select a1,a2,b,max(c),min(c) from t2 where (a2 = 'a') and (b = 'b') or (b < 'b') group by a1; @@ -2100,7 +2100,7 @@ id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t2 index NULL idx_t2_1 163 NULL 548 Using where; Using index explain extended select a1,a2,b from t1 where (a1 = 'b' or a1 = 'd' or a1 = 'a' or a1 = 'c') and (a2 > 'a') and (c > 'a111') group by a1,a2,b; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 range idx_t1_0,idx_t1_1,idx_t1_2 idx_t1_1 130 NULL 276 99.22 Using where; Using index +1 SIMPLE t1 range idx_t1_0,idx_t1_1,idx_t1_2 idx_t1_1 130 NULL 276 98.44 Using where; Using index Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2`,`test`.`t1`.`b` AS `b` from `test`.`t1` where (`test`.`t1`.`a1` = 'b' or `test`.`t1`.`a1` = 'd' or `test`.`t1`.`a1` = 'a' or `test`.`t1`.`a1` = 'c') and `test`.`t1`.`a2` > 'a' and `test`.`t1`.`c` > 'a111' group by `test`.`t1`.`a1`,`test`.`t1`.`a2`,`test`.`t1`.`b` explain select a1,a2,min(b),c from t2 where (a2 = 'a') and (c = 'a111') group by a1; diff --git a/mysql-test/main/join_cache.result b/mysql-test/main/join_cache.result index 36e045dc2bd..359739fecf8 100644 --- a/mysql-test/main/join_cache.result +++ b/mysql-test/main/join_cache.result @@ -6220,7 +6220,7 @@ EXPLAIN "key_length": "10", "used_key_parts": ["kp1", "kp2"], "rows": 836, - "filtered": 76.43428802, + "filtered": 76, "index_condition": "b.kp2 <= 10", "attached_condition": "b.kp2 <= 10 and b.col1 + 1 < 33333" }, diff --git a/mysql-test/main/join_outer.result b/mysql-test/main/join_outer.result index fcffeb6d161..522b668e07b 100644 --- a/mysql-test/main/join_outer.result +++ b/mysql-test/main/join_outer.result @@ -2795,7 +2795,7 @@ test.t3 analyze status OK explain extended select * from t1 left join t3 on t1.a=t3.b and t3.a<5; id select_type table type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 ALL NULL NULL NULL NULL 10 100.00 -1 SIMPLE t3 ALL NULL NULL NULL NULL 1000 1.96 Using where +1 SIMPLE t3 ALL NULL NULL NULL NULL 1000 0.50 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t3`.`a` AS `a`,`test`.`t3`.`b` AS `b` from `test`.`t1` left join `test`.`t3` on(`test`.`t3`.`b` = `test`.`t1`.`a` and `test`.`t3`.`a` < 5) where 1 # t3.filtered must less than 100%, too: @@ -2803,7 +2803,7 @@ explain extended select * from t1 left join (t3 join t2) on t1.a=t3.b and t3.a<5 id select_type table type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 ALL NULL NULL NULL NULL 10 100.00 1 SIMPLE t2 ALL NULL NULL NULL NULL 2 100.00 -1 SIMPLE t3 ALL NULL NULL NULL NULL 1000 1.96 Using where +1 SIMPLE t3 ALL NULL NULL NULL NULL 1000 0.50 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t3`.`a` AS `a`,`test`.`t3`.`b` AS `b`,`test`.`t2`.`a` AS `a` from `test`.`t1` left join (`test`.`t3` join `test`.`t2`) on(`test`.`t3`.`b` = `test`.`t1`.`a` and `test`.`t3`.`a` < 5) where 1 drop table t1,t2,t3; diff --git a/mysql-test/main/join_outer_jcl6.result b/mysql-test/main/join_outer_jcl6.result index 721989c3368..b579cfc6ac0 100644 --- a/mysql-test/main/join_outer_jcl6.result +++ b/mysql-test/main/join_outer_jcl6.result @@ -2802,7 +2802,7 @@ test.t3 analyze status OK explain extended select * from t1 left join t3 on t1.a=t3.b and t3.a<5; id select_type table type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 ALL NULL NULL NULL NULL 10 100.00 -1 SIMPLE t3 hash_ALL NULL #hash#$hj 5 test.t1.a 1000 1.96 Using where; Using join buffer (flat, BNLH join) +1 SIMPLE t3 hash_ALL NULL #hash#$hj 5 test.t1.a 1000 0.50 Using where; Using join buffer (flat, BNLH join) Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t3`.`a` AS `a`,`test`.`t3`.`b` AS `b` from `test`.`t1` left join `test`.`t3` on(`test`.`t3`.`b` = `test`.`t1`.`a` and `test`.`t3`.`a` < 5 and `test`.`t1`.`a` is not null) where 1 # t3.filtered must less than 100%, too: @@ -2810,7 +2810,7 @@ explain extended select * from t1 left join (t3 join t2) on t1.a=t3.b and t3.a<5 id select_type table type possible_keys key key_len ref rows filtered Extra 1 SIMPLE t1 ALL NULL NULL NULL NULL 10 100.00 1 SIMPLE t2 ALL NULL NULL NULL NULL 2 100.00 Using where; Using join buffer (flat, BNL join) -1 SIMPLE t3 hash_ALL NULL #hash#$hj 5 test.t1.a 1000 1.96 Using where; Using join buffer (incremental, BNLH join) +1 SIMPLE t3 hash_ALL NULL #hash#$hj 5 test.t1.a 1000 0.50 Using where; Using join buffer (incremental, BNLH join) Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t3`.`a` AS `a`,`test`.`t3`.`b` AS `b`,`test`.`t2`.`a` AS `a` from `test`.`t1` left join (`test`.`t3` join `test`.`t2`) on(`test`.`t3`.`b` = `test`.`t1`.`a` and `test`.`t3`.`a` < 5 and `test`.`t1`.`a` is not null) where 1 drop table t1,t2,t3; diff --git a/mysql-test/main/mysqld--help.result b/mysql-test/main/mysqld--help.result index a8aa461c863..d2799d6e009 100644 --- a/mysql-test/main/mysqld--help.result +++ b/mysql-test/main/mysqld--help.result @@ -368,7 +368,8 @@ The following specify which files/extra groups are read (specified before remain Specifies type of the histograms created by ANALYZE. Possible values are: SINGLE_PREC_HB - single precision height-balanced, DOUBLE_PREC_HB - double precision - height-balanced. + height-balanced, JSON_HB - height-balanced, stored as + JSON. --host-cache-size=# How many host names should be cached to avoid resolving. (Automatically configured unless set explicitly) --idle-readonly-transaction-timeout=# diff --git a/mysql-test/main/opt_trace.result b/mysql-test/main/opt_trace.result index 255aad4450b..0d16f47dc8f 100644 --- a/mysql-test/main/opt_trace.result +++ b/mysql-test/main/opt_trace.result @@ -2091,12 +2091,12 @@ explain select * from t1 where a=1 and b=2 order by c limit 1 { { "column_name": "a", "ranges": ["1 <= a <= 1"], - "selectivity_from_histogram": 0.1796875 + "selectivity_from_histogram": 0.181 }, { "column_name": "b", "ranges": ["2 <= b <= 2"], - "selectivity_from_histogram": 0.015625 + "selectivity_from_histogram": 0.021 } ], "cond_selectivity": 0.021 @@ -8083,20 +8083,20 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans')) { "access_type": "scan", - "resulting_rows": 5.9375, - "cost": 2.829589844, + "resulting_rows": 5, + "cost": 3.017089844, "chosen": true } ], "chosen_access_method": { "type": "scan", - "records": 5.9375, - "cost": 2.829589844, + "records": 5, + "cost": 3.017089844, "uses_join_buffering": false } }, - "rows_for_plan": 5.9375, + "rows_for_plan": 5, "cost_for_plan": 4.017089844, "rest_of_plan": [ @@ -8114,22 +8114,22 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans')) { "access_type": "scan", - "resulting_rows": 804.6875, - "cost": 256.8548584, + "resulting_rows": 800, + "cost": 220.9863281, "chosen": true } ], "chosen_access_method": { "type": "scan", - "records": 804.6875, - "cost": 256.8548584, + "records": 800, + "cost": 220.9863281, "uses_join_buffering": false } }, - "rows_for_plan": 4777.832031, - "cost_for_plan": 1216.438354, - "estimated_join_cardinality": 4777.832031 + "rows_for_plan": 4000, + "cost_for_plan": 1025.003418, + "estimated_join_cardinality": 4000 } ] }, @@ -8146,20 +8146,20 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans')) { "access_type": "scan", - "resulting_rows": 804.6875, - "cost": 43.25976562, + "resulting_rows": 800, + "cost": 44.19726562, "chosen": true } ], "chosen_access_method": { "type": "scan", - "records": 804.6875, - "cost": 43.25976562, + "records": 800, + "cost": 44.19726562, "uses_join_buffering": false } }, - "rows_for_plan": 804.6875, + "rows_for_plan": 800, "cost_for_plan": 204.1972656, "pruned_by_heuristic": true } @@ -8230,8 +8230,8 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans')) { "access_type": "scan", - "resulting_rows": 804.6875, - "cost": 43.25976562, + "resulting_rows": 800, + "cost": 44.19726562, "chosen": false } ], @@ -8245,8 +8245,8 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans')) }, "rows_for_plan": 10, "cost_for_plan": 26.02294779, - "selectivity": 0.8046875, - "estimated_join_cardinality": 8.046875 + "selectivity": 0.8, + "estimated_join_cardinality": 8 } ] }, @@ -8263,20 +8263,20 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans')) { "access_type": "scan", - "resulting_rows": 804.6875, - "cost": 43.25976562, + "resulting_rows": 800, + "cost": 44.19726562, "chosen": true } ], "chosen_access_method": { "type": "scan", - "records": 804.6875, - "cost": 43.25976562, + "records": 800, + "cost": 44.19726562, "uses_join_buffering": false } }, - "rows_for_plan": 804.6875, + "rows_for_plan": 800, "cost_for_plan": 204.1972656, "pruned_by_cost": true } @@ -8564,7 +8564,7 @@ test.t1 analyze status Engine-independent statistics collected test.t1 analyze status OK EXPLAIN EXTENDED SELECT * from t1 WHERE a between 1 and 5 and b <= 5; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 100 0.22 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 0.25 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` where `test`.`t1`.`a` between 1 and 5 and `test`.`t1`.`b` <= 5 select JSON_DETAILED(JSON_EXTRACT(trace, '$**.selectivity_for_columns')) from INFORMATION_SCHEMA.OPTIMIZER_TRACE; @@ -8579,7 +8579,7 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.selectivity_for_columns')) [ "1 <= a <= 5" ], - "selectivity_from_histogram": 0.046875 + "selectivity_from_histogram": 0.05 }, { @@ -8588,13 +8588,13 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.selectivity_for_columns')) [ "NULL < b <= 5" ], - "selectivity_from_histogram": 0.046875 + "selectivity_from_histogram": 0.05 } ] ] EXPLAIN EXTENDED SELECT * from t1 WHERE a != 5; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 100 100.00 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 99.00 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` where `test`.`t1`.`a` <> 5 select JSON_DETAILED(JSON_EXTRACT(trace, '$**.selectivity_for_columns')) from INFORMATION_SCHEMA.OPTIMIZER_TRACE; @@ -8610,13 +8610,13 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.selectivity_for_columns')) "NULL < a < 5", "5 < a" ], - "selectivity_from_histogram": 1 + "selectivity_from_histogram": 0.99 } ] ] EXPLAIN EXTENDED SELECT * from t1 WHERE b >= 10 and b < 25; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 100 15.62 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 15.00 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` where `test`.`t1`.`b` >= 10 and `test`.`t1`.`b` < 25 select JSON_DETAILED(JSON_EXTRACT(trace, '$**.selectivity_for_columns')) from INFORMATION_SCHEMA.OPTIMIZER_TRACE; @@ -8631,7 +8631,7 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.selectivity_for_columns')) [ "10 <= b < 25" ], - "selectivity_from_histogram": 0.15625 + "selectivity_from_histogram": 0.15 } ] ] diff --git a/mysql-test/main/partition.result b/mysql-test/main/partition.result index 58d0464b86f..a5d84072d11 100644 --- a/mysql-test/main/partition.result +++ b/mysql-test/main/partition.result @@ -2741,7 +2741,7 @@ id select_type table partitions type possible_keys key key_len ref rows Extra 1 SIMPLE t2 p1,p2 ALL NULL NULL NULL NULL 400 Using where explain extended select * from t2 where b=5; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t2 ALL NULL NULL NULL NULL 1000 19.61 Using where +1 SIMPLE t2 ALL NULL NULL NULL NULL 1000 0.10 Using where Warnings: Note 1003 select `test`.`t2`.`part_key` AS `part_key`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t2` where `test`.`t2`.`b` = 5 explain partitions select * from t2 where b=5; @@ -2749,7 +2749,7 @@ id select_type table partitions type possible_keys key key_len ref rows Extra 1 SIMPLE t2 p0,p1,p2,p3,p4 ALL NULL NULL NULL NULL 1000 Using where explain extended select * from t2 partition(p0) where b=1; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t2 ALL NULL NULL NULL NULL 200 19.61 Using where +1 SIMPLE t2 ALL NULL NULL NULL NULL 200 20.00 Using where Warnings: Note 1003 select `test`.`t2`.`part_key` AS `part_key`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t2` PARTITION (`p0`) where `test`.`t2`.`b` = 1 set @@use_stat_tables= @save_use_stat_tables; diff --git a/mysql-test/main/selectivity.result b/mysql-test/main/selectivity.result index 40ab309fffd..003b91a6a28 100644 --- a/mysql-test/main/selectivity.result +++ b/mysql-test/main/selectivity.result @@ -1245,8 +1245,8 @@ EXPLAIN EXTENDED SELECT * FROM language, country, continent WHERE country_group = lang_group AND lang_group IS NULL; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE country ALL NULL NULL NULL NULL 2 0.00 Using where -1 SIMPLE language ALL NULL NULL NULL NULL 6 0.00 Using where; Using join buffer (flat, BNL join) +1 SIMPLE country ALL NULL NULL NULL NULL 2 50.00 Using where +1 SIMPLE language ALL NULL NULL NULL NULL 6 16.67 Using where; Using join buffer (flat, BNL join) 1 SIMPLE continent ALL NULL NULL NULL NULL 6 100.00 Using join buffer (incremental, BNL join) Warnings: Note 1003 select `test`.`language`.`lang_group` AS `lang_group`,`test`.`language`.`lang` AS `lang`,`test`.`country`.`code` AS `code`,`test`.`country`.`country_group` AS `country_group`,`test`.`continent`.`cont_group` AS `cont_group`,`test`.`continent`.`cont` AS `cont` from `test`.`language` join `test`.`country` join `test`.`continent` where `test`.`language`.`lang_group` = `test`.`country`.`country_group` and `test`.`country`.`country_group` is null @@ -1372,14 +1372,14 @@ test.t2 analyze status Table is already up to date explain extended select * from t1 straight_join t2 where t1.a=t2.a and t1.a<10; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1.96 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1.00 Using where 1 SIMPLE t2 ref a a 5 test.t1.a 10 100.00 Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t1` straight_join `test`.`t2` where `test`.`t2`.`a` = `test`.`t1`.`a` and `test`.`t1`.`a` < 10 explain extended select * from t1 straight_join t2 where t1.a=t2.a and t2.a<10; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1.96 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1.00 Using where 1 SIMPLE t2 ref a a 5 test.t1.a 10 100.00 Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t1` straight_join `test`.`t2` where `test`.`t2`.`a` = `test`.`t1`.`a` and `test`.`t1`.`a` < 10 @@ -1649,12 +1649,12 @@ test.t1 analyze status Table is already up to date # Check what info the optimizer has about selectivities explain extended select * from t1 use index () where a in (17,51,5); id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 3.90 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 2.90 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` USE INDEX () where `test`.`t1`.`a` in (17,51,5) explain extended select * from t1 use index () where b=2; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 5.47 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 5.90 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` USE INDEX () where `test`.`t1`.`b` = 2 # Now, the equality is used for ref access, while the range condition @@ -1895,7 +1895,7 @@ test.t1 analyze status Engine-independent statistics collected test.t1 analyze status OK EXPLAIN EXTENDED SELECT * from t1 where t1.a >= 81; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 3 66.41 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 3 66.67 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` where `test`.`t1`.`a` >= 81 SELECT HEX(a), b from t1 where t1.a >= 81; @@ -1919,7 +1919,7 @@ test.t1 analyze status Engine-independent statistics collected test.t1 analyze status OK EXPLAIN EXTENDED SELECT * FROM t1 WHERE a=2; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 5 39.84 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 5 40.00 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a` from `test`.`t1` where `test`.`t1`.`a` = 2 SET optimizer_use_condition_selectivity=3; diff --git a/mysql-test/main/selectivity_innodb.result b/mysql-test/main/selectivity_innodb.result index 5457db21436..8db83c6bcaf 100644 --- a/mysql-test/main/selectivity_innodb.result +++ b/mysql-test/main/selectivity_innodb.result @@ -1257,8 +1257,8 @@ EXPLAIN EXTENDED SELECT * FROM language, country, continent WHERE country_group = lang_group AND lang_group IS NULL; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE country ALL NULL NULL NULL NULL 2 0.00 Using where -1 SIMPLE language ALL NULL NULL NULL NULL 6 0.00 Using where; Using join buffer (flat, BNL join) +1 SIMPLE country ALL NULL NULL NULL NULL 2 50.00 Using where +1 SIMPLE language ALL NULL NULL NULL NULL 6 16.67 Using where; Using join buffer (flat, BNL join) 1 SIMPLE continent ALL NULL NULL NULL NULL 6 100.00 Using join buffer (incremental, BNL join) Warnings: Note 1003 select `test`.`language`.`lang_group` AS `lang_group`,`test`.`language`.`lang` AS `lang`,`test`.`country`.`code` AS `code`,`test`.`country`.`country_group` AS `country_group`,`test`.`continent`.`cont_group` AS `cont_group`,`test`.`continent`.`cont` AS `cont` from `test`.`language` join `test`.`country` join `test`.`continent` where `test`.`language`.`lang_group` = `test`.`country`.`country_group` and `test`.`country`.`country_group` is null @@ -1384,14 +1384,14 @@ test.t2 analyze status OK explain extended select * from t1 straight_join t2 where t1.a=t2.a and t1.a<10; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1.96 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1.00 Using where 1 SIMPLE t2 ref a a 5 test.t1.a 10 100.00 Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t1` straight_join `test`.`t2` where `test`.`t2`.`a` = `test`.`t1`.`a` and `test`.`t1`.`a` < 10 explain extended select * from t1 straight_join t2 where t1.a=t2.a and t2.a<10; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1.96 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1.00 Using where 1 SIMPLE t2 ref a a 5 test.t1.a 10 100.00 Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b` from `test`.`t1` straight_join `test`.`t2` where `test`.`t2`.`a` = `test`.`t1`.`a` and `test`.`t1`.`a` < 10 @@ -1661,12 +1661,12 @@ test.t1 analyze status OK # Check what info the optimizer has about selectivities explain extended select * from t1 use index () where a in (17,51,5); id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 3.90 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 2.90 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` USE INDEX () where `test`.`t1`.`a` in (17,51,5) explain extended select * from t1 use index () where b=2; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 5.47 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 5.90 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` USE INDEX () where `test`.`t1`.`b` = 2 # Now, the equality is used for ref access, while the range condition @@ -1907,7 +1907,7 @@ test.t1 analyze status Engine-independent statistics collected test.t1 analyze status OK EXPLAIN EXTENDED SELECT * from t1 where t1.a >= 81; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 3 66.41 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 3 66.67 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` where `test`.`t1`.`a` >= 81 SELECT HEX(a), b from t1 where t1.a >= 81; @@ -1931,7 +1931,7 @@ test.t1 analyze status Engine-independent statistics collected test.t1 analyze status OK EXPLAIN EXTENDED SELECT * FROM t1 WHERE a=2; id select_type table type possible_keys key key_len ref rows filtered Extra -1 SIMPLE t1 ALL NULL NULL NULL NULL 5 39.84 Using where +1 SIMPLE t1 ALL NULL NULL NULL NULL 5 40.00 Using where Warnings: Note 1003 select `test`.`t1`.`a` AS `a` from `test`.`t1` where `test`.`t1`.`a` = 2 SET optimizer_use_condition_selectivity=3; diff --git a/mysql-test/main/statistics.result b/mysql-test/main/statistics.result index 1ba087dd7a1..43b28f464e1 100644 --- a/mysql-test/main/statistics.result +++ b/mysql-test/main/statistics.result @@ -1,9 +1,12 @@ +set @SINGLE_PREC_TYPE='single_prec_hb'; +set @DOUBLE_PREC_TYPE='double_prec_hb'; +set @DEFAULT_HIST_TYPE='double_prec_hb'; drop table if exists t1,t2; set @save_use_stat_tables=@@use_stat_tables; set @save_histogram_size=@@global.histogram_size; set @@global.histogram_size=0,@@local.histogram_size=0; -set @save_hist_type=@@histogram_type; -set histogram_type='single_prec_hb'; +set @save_hist_type=@DEFAULT_HIST_TYPE; +set histogram_type=@SINGLE_PREC_TYPE; DELETE FROM mysql.table_stats; DELETE FROM mysql.column_stats; DELETE FROM mysql.index_stats; @@ -220,18 +223,19 @@ test.t1 analyze status Table is already up to date SELECT db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, -hist_size, hist_type, HEX(histogram) -FROM mysql.column_stats; -db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type HEX(histogram) -test t1 a 0 49 0.0000 1.0000 4 SINGLE_PREC_HB 2E62A1D0 -test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 6.4000 4 SINGLE_PREC_HB 003FBFFF -test t1 c aaaa dddddddd 0.1250 7.0000 4 SINGLE_PREC_HB 0055AAFF -test t1 d 1989-03-12 1999-07-23 0.1500 8.5000 4 SINGLE_PREC_HB 001919FF -test t1 e 0.01 0.112 0.2250 6.2000 4 SINGLE_PREC_HB 000564E1 -test t1 f 1 5 0.2000 6.4000 4 SINGLE_PREC_HB 3F7FBFBF +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a 0 49 0.0000 1.0000 4 SINGLE_PREC_HB 0.180,0.204,0.247,0.184,0.184 +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 6.4000 4 SINGLE_PREC_HB 0.000,0.247,0.502,0.251,0.000 +test t1 c aaaa dddddddd 0.1250 7.0000 4 SINGLE_PREC_HB 0.000,0.333,0.333,0.333,0.000 +test t1 d 1989-03-12 1999-07-23 0.1500 8.5000 4 SINGLE_PREC_HB 0.000,0.098,0.000,0.902,0.000 +test t1 e 0.01 0.112 0.2250 6.2000 4 SINGLE_PREC_HB 0.000,0.020,0.373,0.490,0.118 +test t1 f 1 5 0.2000 6.4000 4 SINGLE_PREC_HB 0.247,0.251,0.251,0.000,0.251 DELETE FROM mysql.column_stats; set histogram_size=8; -set histogram_type='DOUBLE_PREC_HB'; +set histogram_type=@DOUBLE_PREC_TYPE; ANALYZE TABLE t1; Table Op Msg_type Msg_text test.t1 analyze status Engine-independent statistics collected @@ -239,18 +243,19 @@ test.t1 analyze status Table is already up to date SELECT db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, -hist_size, hist_type, HEX(histogram) -FROM mysql.column_stats; -db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type HEX(histogram) -test t1 a 0 49 0.0000 1.0000 8 DOUBLE_PREC_HB 052F4363F4A1F9D0 -test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 6.4000 8 DOUBLE_PREC_HB 0000FF3FFFBFFFFF -test t1 c aaaa dddddddd 0.1250 7.0000 8 DOUBLE_PREC_HB 00005555AAAAFFFF -test t1 d 1989-03-12 1999-07-23 0.1500 8.5000 8 DOUBLE_PREC_HB 0000031A031AFFFF -test t1 e 0.01 0.112 0.2250 6.2000 8 DOUBLE_PREC_HB 000005056464E1E1 -test t1 f 1 5 0.2000 6.4000 8 DOUBLE_PREC_HB FF3FFF7FFFBFFFBF +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a 0 49 0.0000 1.0000 8 DOUBLE_PREC_HB 0.18367,0.20407,0.24489,0.18367,0.18369 +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 6.4000 8 DOUBLE_PREC_HB 0.00000,0.24999,0.50001,0.25000,0.00000 +test t1 c aaaa dddddddd 0.1250 7.0000 8 DOUBLE_PREC_HB 0.00000,0.33333,0.33333,0.33333,0.00000 +test t1 d 1989-03-12 1999-07-23 0.1500 8.5000 8 DOUBLE_PREC_HB 0.00000,0.10161,0.00000,0.89839,0.00000 +test t1 e 0.01 0.112 0.2250 6.2000 8 DOUBLE_PREC_HB 0.00000,0.01961,0.37255,0.49020,0.11765 +test t1 f 1 5 0.2000 6.4000 8 DOUBLE_PREC_HB 0.24999,0.25000,0.25000,0.00000,0.25000 DELETE FROM mysql.column_stats; set histogram_size= 0; -set histogram_type='single_prec_hb'; +set histogram_type=@SINGLE_PREC_TYPE; ANALYZE TABLE t1; Table Op Msg_type Msg_text test.t1 analyze status Engine-independent statistics collected @@ -1476,13 +1481,13 @@ WORLD_INNODB COUNTRYLANGUAGE Percentage 1 2.7640 use world; set use_stat_tables='preferably'; set histogram_size=100; -set histogram_type='SINGLE_PREC_HB'; +set histogram_type=@SINGLE_PREC_TYPE; ANALYZE TABLE CountryLanguage; set histogram_size=254; -set histogram_type='DOUBLE_PREC_HB'; +set histogram_type=@DOUBLE_PREC_TYPE; ANALYZE TABLE City; FLUSH TABLES; -select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,hex(histogram),decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='COUNTRYLANGUAGE' and UPPER(column_name) = 'PERCENTAGE';; +select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='COUNTRYLANGUAGE' and UPPER(column_name) = 'PERCENTAGE';; UPPER(db_name) WORLD UPPER(table_name) COUNTRYLANGUAGE UPPER(column_name) PERCENTAGE @@ -1493,9 +1498,8 @@ avg_length 4.0000 avg_frequency 2.7640 hist_size 100 hist_type SINGLE_PREC_HB -hex(histogram) 0000000000000000000000000101010101010101010202020303030304040404050505050606070707080809090A0A0B0C0D0D0E0E0F10111213131415161718191B1C1E202224292A2E33373B4850575F6A76818C9AA7B9C4CFDADFE5EBF0F4F8FAFCFF decode_histogram(hist_type,histogram) 0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.004,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.000,0.004,0.000,0.000,0.004,0.000,0.000,0.000,0.004,0.000,0.000,0.000,0.004,0.000,0.000,0.000,0.004,0.000,0.004,0.000,0.000,0.004,0.000,0.004,0.000,0.004,0.000,0.004,0.004,0.004,0.000,0.004,0.000,0.004,0.004,0.004,0.004,0.004,0.000,0.004,0.004,0.004,0.004,0.004,0.004,0.008,0.004,0.008,0.008,0.008,0.008,0.020,0.004,0.016,0.020,0.016,0.016,0.051,0.031,0.027,0.031,0.043,0.047,0.043,0.043,0.055,0.051,0.071,0.043,0.043,0.043,0.020,0.024,0.024,0.020,0.016,0.016,0.008,0.008,0.012,0.000 -select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,hex(histogram),decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='CITY' and UPPER(column_name) = 'POPULATION';; +select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='CITY' and UPPER(column_name) = 'POPULATION';; UPPER(db_name) WORLD UPPER(table_name) CITY UPPER(column_name) POPULATION @@ -1506,9 +1510,8 @@ avg_length 4.0000 avg_frequency 1.0467 hist_size 254 hist_type DOUBLE_PREC_HB -hex(histogram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decode_histogram(hist_type,histogram) 0.00047,0.00198,0.00601,0.00008,0.00008,0.00005,0.00011,0.00006,0.00009,0.00008,0.00006,0.00009,0.00008,0.00009,0.00008,0.00009,0.00006,0.00006,0.00008,0.00008,0.00008,0.00011,0.00009,0.00008,0.00009,0.00006,0.00011,0.00006,0.00012,0.00012,0.00012,0.00012,0.00011,0.00011,0.00014,0.00011,0.00011,0.00011,0.00014,0.00006,0.00011,0.00009,0.00011,0.00009,0.00015,0.00015,0.00015,0.00009,0.00018,0.00015,0.00015,0.00015,0.00017,0.00018,0.00018,0.00015,0.00018,0.00020,0.00024,0.00021,0.00023,0.00027,0.00024,0.00024,0.00027,0.00023,0.00020,0.00029,0.00020,0.00027,0.00020,0.00027,0.00026,0.00034,0.00024,0.00034,0.00031,0.00037,0.00043,0.00038,0.00038,0.00035,0.00047,0.00056,0.00058,0.00041,0.00047,0.00056,0.00072,0.00044,0.00060,0.00072,0.00061,0.00072,0.00066,0.00085,0.00075,0.00078,0.00082,0.00073,0.00108,0.00089,0.00105,0.00105,0.00151,0.00150,0.00110,0.00145,0.00163,0.00160,0.00165,0.00232,0.00201,0.00371,0.00365,0.00383,0.00459,0.00583,0.00662,0.00984,0.00969,0.01080,0.01379,0.02063,0.04308,0.05960,0.15816,0.59464 -set histogram_type='single_prec_hb'; +set histogram_type=@SINGLE_PREC_TYPE; set histogram_size=0; use test; DROP DATABASE world; @@ -1575,10 +1578,11 @@ test.t1 analyze status OK select db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, -hist_size, hist_type, HEX(histogram) -FROM mysql.column_stats; -db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type HEX(histogram) -test t1 a 1 3 0.0000 1.0000 10 SINGLE_PREC_HB 0000007F7F7F7FFFFFFF +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a 1 3 0.0000 1.0000 10 SINGLE_PREC_HB 0.000,0.000,0.000,0.498,0.000,0.000,0.000,0.502,0.000,0.000,0.000 set histogram_size=default; drop table t1; # @@ -1588,7 +1592,7 @@ drop table t1; create table t1 ( a int); insert into t1 values (1),(2),(3),(4),(5); set histogram_size=10; -set histogram_type='double_prec_hb'; +set histogram_type=@DOUBLE_PREC_TYPE; show variables like 'histogram%'; Variable_name Value histogram_size 10 @@ -1600,12 +1604,13 @@ test.t1 analyze status OK select db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, -hist_size, hist_type, HEX(histogram) -FROM mysql.column_stats; -db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type HEX(histogram) -test t1 a 1 5 0.0000 1.0000 10 DOUBLE_PREC_HB 0000FF3FFF7FFFBFFFFF +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a 1 5 0.0000 1.0000 10 DOUBLE_PREC_HB 0.00000,0.24999,0.25000,0.25000,0.25000,0.00000 set histogram_size=0; -set histogram_type='single_prec_hb'; +set histogram_type=@SINGLE_PREC_TYPE; drop table t1; # # Bug mdev-4369: histogram for a column with many distinct values @@ -1641,10 +1646,10 @@ test.t2 analyze status OK select db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, -hist_size, hist_type, HEX(histogram) +hist_size, hist_type, decode_histogram(hist_type,histogram) FROM mysql.column_stats; -db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type HEX(histogram) -test t2 id 1 1024 0.0000 8.0000 63 SINGLE_PREC_HB 03070B0F13171B1F23272B2F33373B3F43474B4F53575B5F63676B6F73777B7F83878B8F93979B9FA3A7ABAFB3B7BBBFC3C7CBCFD3D7DBDFE3E7EBEFF3F7FB +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t2 id 1 1024 0.0000 8.0000 63 SINGLE_PREC_HB 0.012,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016,0.016 set histogram_size=0; drop table t1, t2; set use_stat_tables=@save_use_stat_tables; @@ -1662,9 +1667,9 @@ Level Code Message select db_name, table_name, column_name, HEX(min_value), HEX(max_value), nulls_ratio, avg_frequency, -hist_size, hist_type, HEX(histogram) +hist_size, hist_type, decode_histogram(hist_type,histogram) FROM mysql.column_stats; -db_name table_name column_name HEX(min_value) HEX(max_value) nulls_ratio avg_frequency hist_size hist_type HEX(histogram) +db_name table_name column_name HEX(min_value) HEX(max_value) nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) test t1 a D879626AF872675F73E662F8 D879626AF872675F73E662F8 0.0000 1.0000 0 NULL NULL drop table t1; # @@ -1760,12 +1765,12 @@ set use_stat_tables=@save_use_stat_tables; # # MDEV-10134 Add full support for DEFAULT # -CREATE TABLE t1 (a BLOB, b TEXT DEFAULT DECODE_HISTOGRAM('SINGLE_PREC_HB',a)); +CREATE TABLE t1 (a BLOB, b TEXT DEFAULT DECODE_HISTOGRAM(@SINGLE_PREC_TYPE,a)); SHOW CREATE TABLE t1; Table Create Table t1 CREATE TABLE `t1` ( `a` blob DEFAULT NULL, - `b` text DEFAULT decode_histogram('SINGLE_PREC_HB',`a`) + `b` text DEFAULT decode_histogram(@`SINGLE_PREC_TYPE`,`a`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1 INSERT INTO t1 (a) VALUES (0x0000000000000000000000000101010101010101010202020303030304040404050505050606070707080809090A0A0B0C0D0D0E0E0F10111213131415161718191B1C1E202224292A2E33373B4850575F6A76818C9AA7B9C4CFDADFE5EBF0F4F8FAFCFF); SELECT b FROM t1; @@ -1878,6 +1883,7 @@ t1 id 1 17384 0.0000 4.0000 14.0000 0.15705,0.15711,0.21463,0.15705,0.15711,0.15 explain select * from t1; id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t1 ALL NULL NULL NULL NULL 229376 +drop table t0; drop table t1; set analyze_sample_percentage=@save_analyze_sample_percentage; set histogram_size=@save_histogram_size; diff --git a/mysql-test/main/statistics.test b/mysql-test/main/statistics.test index 1f99aaa33e5..1d431237e82 100644 --- a/mysql-test/main/statistics.test +++ b/mysql-test/main/statistics.test @@ -1,3 +1,13 @@ +set @SINGLE_PREC_TYPE='single_prec_hb'; +set @DOUBLE_PREC_TYPE='double_prec_hb'; +set @DEFAULT_HIST_TYPE='double_prec_hb'; + +if ($histogram_type_override) { + eval set @SINGLE_PREC_TYPE=$histogram_type_override; + eval set @DOUBLE_PREC_TYPE=$histogram_type_override; + eval set @DEFAULT_HIST_TYPE=$histogram_type_override; +} + --source include/have_stat_tables.inc --source include/have_innodb.inc --disable_warnings @@ -7,8 +17,8 @@ drop table if exists t1,t2; set @save_use_stat_tables=@@use_stat_tables; set @save_histogram_size=@@global.histogram_size; set @@global.histogram_size=0,@@local.histogram_size=0; -set @save_hist_type=@@histogram_type; -set histogram_type='single_prec_hb'; +set @save_hist_type=@DEFAULT_HIST_TYPE; +set histogram_type=@SINGLE_PREC_TYPE; DELETE FROM mysql.table_stats; --sorted_result @@ -81,6 +91,7 @@ SELECT * FROM mysql.index_stats; SELECT COUNT(*) FROM t1; + SELECT * FROM mysql.column_stats WHERE db_name='test' AND table_name='t1' AND column_name='a'; SELECT MIN(t1.a), MAX(t1.a), @@ -177,30 +188,32 @@ DELETE FROM mysql.column_stats; set histogram_size=4; ANALYZE TABLE t1; ---sorted_result +--source include/histogram_replaces.inc SELECT db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, - hist_size, hist_type, HEX(histogram) - FROM mysql.column_stats; + hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; DELETE FROM mysql.column_stats; set histogram_size=8; -set histogram_type='DOUBLE_PREC_HB'; +set histogram_type=@DOUBLE_PREC_TYPE; ANALYZE TABLE t1; ---sorted_result +--source include/histogram_replaces.inc SELECT db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, - hist_size, hist_type, HEX(histogram) - FROM mysql.column_stats; + hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; DELETE FROM mysql.column_stats; set histogram_size= 0; -set histogram_type='single_prec_hb'; +set histogram_type=@SINGLE_PREC_TYPE; ANALYZE TABLE t1; @@ -650,18 +663,20 @@ use world; set use_stat_tables='preferably'; --disable_result_log set histogram_size=100; -set histogram_type='SINGLE_PREC_HB'; +set histogram_type=@SINGLE_PREC_TYPE; ANALYZE TABLE CountryLanguage; set histogram_size=254; -set histogram_type='DOUBLE_PREC_HB'; +set histogram_type=@DOUBLE_PREC_TYPE; ANALYZE TABLE City; FLUSH TABLES; --enable_result_log ---query_vertical select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,hex(histogram),decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='COUNTRYLANGUAGE' and UPPER(column_name) = 'PERCENTAGE'; ---query_vertical select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,hex(histogram),decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='CITY' and UPPER(column_name) = 'POPULATION'; +--source include/histogram_replaces.inc +--query_vertical select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='COUNTRYLANGUAGE' and UPPER(column_name) = 'PERCENTAGE'; +--source include/histogram_replaces.inc +--query_vertical select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='CITY' and UPPER(column_name) = 'POPULATION'; -set histogram_type='single_prec_hb'; +set histogram_type=@SINGLE_PREC_TYPE; set histogram_size=0; use test; @@ -705,11 +720,13 @@ set histogram_size=10; analyze table t1 persistent for all; +--source include/histogram_replaces.inc select db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, - hist_size, hist_type, HEX(histogram) - FROM mysql.column_stats; + hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; set histogram_size=default; @@ -724,20 +741,22 @@ create table t1 ( a int); insert into t1 values (1),(2),(3),(4),(5); set histogram_size=10; -set histogram_type='double_prec_hb'; +set histogram_type=@DOUBLE_PREC_TYPE; show variables like 'histogram%'; analyze table t1 persistent for all; +--source include/histogram_replaces.inc select db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, - hist_size, hist_type, HEX(histogram) - FROM mysql.column_stats; + hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; set histogram_size=0; -set histogram_type='single_prec_hb'; +set histogram_type=@SINGLE_PREC_TYPE; drop table t1; @@ -774,10 +793,11 @@ set histogram_size=63; analyze table t2 persistent for all; +--source include/histogram_replaces.inc select db_name, table_name, column_name, min_value, max_value, nulls_ratio, avg_frequency, - hist_size, hist_type, HEX(histogram) + hist_size, hist_type, decode_histogram(hist_type,histogram) FROM mysql.column_stats; set histogram_size=0; @@ -795,10 +815,11 @@ insert into t1 values(unhex('D879626AF872675F73E662F8')); analyze table t1 persistent for all; show warnings; +--source include/histogram_replaces.inc select db_name, table_name, column_name, HEX(min_value), HEX(max_value), nulls_ratio, avg_frequency, - hist_size, hist_type, HEX(histogram) + hist_size, hist_type, decode_histogram(hist_type,histogram) FROM mysql.column_stats; drop table t1; @@ -908,11 +929,14 @@ set use_stat_tables=@save_use_stat_tables; --echo # MDEV-10134 Add full support for DEFAULT --echo # -CREATE TABLE t1 (a BLOB, b TEXT DEFAULT DECODE_HISTOGRAM('SINGLE_PREC_HB',a)); +# disable for JSON histograms +if (!$histogram_type_override) { +CREATE TABLE t1 (a BLOB, b TEXT DEFAULT DECODE_HISTOGRAM(@SINGLE_PREC_TYPE,a)); SHOW CREATE TABLE t1; INSERT INTO t1 (a) VALUES (0x0000000000000000000000000101010101010101010202020303030304040404050505050606070707080809090A0A0B0C0D0D0E0E0F10111213131415161718191B1C1E202224292A2E33373B4850575F6A76818C9AA7B9C4CFDADFE5EBF0F4F8FAFCFF); SELECT b FROM t1; DROP TABLE t1; +} --echo # --echo # End of 10.2 tests @@ -959,6 +983,7 @@ INSERT INTO t1 SELECT id+9192 FROM t1; --echo # This query will should show a full table scan analysis. --echo # ANALYZE TABLE t1; +--source include/histogram_replaces.inc select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, DECODE_HISTOGRAM(hist_type, histogram) from mysql.column_stats; @@ -969,6 +994,7 @@ set analyze_sample_percentage=0.1; --echo # This query will show an innacurate avg_frequency value. --echo # ANALYZE TABLE t1; +--source include/histogram_replaces.inc select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, DECODE_HISTOGRAM(hist_type, histogram) from mysql.column_stats; @@ -978,6 +1004,7 @@ from mysql.column_stats; --echo # set analyze_sample_percentage=25; ANALYZE TABLE t1; +--source include/histogram_replaces.inc select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, DECODE_HISTOGRAM(hist_type, histogram) from mysql.column_stats; @@ -988,6 +1015,7 @@ set analyze_sample_percentage=0; --echo # Test self adjusting sampling level. --echo # ANALYZE TABLE t1; +--source include/histogram_replaces.inc select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, DECODE_HISTOGRAM(hist_type, histogram) from mysql.column_stats; @@ -999,12 +1027,13 @@ explain select * from t1; set analyze_sample_percentage=100; ANALYZE TABLE t1; +--source include/histogram_replaces.inc select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, DECODE_HISTOGRAM(hist_type, histogram) from mysql.column_stats; explain select * from t1; - +drop table t0; drop table t1; set analyze_sample_percentage=@save_analyze_sample_percentage; set histogram_size=@save_histogram_size; diff --git a/mysql-test/main/statistics_json.result b/mysql-test/main/statistics_json.result new file mode 100644 index 00000000000..a9740056777 --- /dev/null +++ b/mysql-test/main/statistics_json.result @@ -0,0 +1,8324 @@ +# +# Test that we can store JSON arrays in histogram field mysql.column_stats when histogram_type=JSON +# +set @SINGLE_PREC_TYPE='single_prec_hb'; +set @DOUBLE_PREC_TYPE='double_prec_hb'; +set @DEFAULT_HIST_TYPE='double_prec_hb'; +set @SINGLE_PREC_TYPE='JSON_HB'; +set @DOUBLE_PREC_TYPE='JSON_HB'; +set @DEFAULT_HIST_TYPE='JSON_HB'; +drop table if exists t1,t2; +set @save_use_stat_tables=@@use_stat_tables; +set @save_histogram_size=@@global.histogram_size; +set @@global.histogram_size=0,@@local.histogram_size=0; +set @save_hist_type=@DEFAULT_HIST_TYPE; +set histogram_type=@SINGLE_PREC_TYPE; +DELETE FROM mysql.table_stats; +DELETE FROM mysql.column_stats; +DELETE FROM mysql.index_stats; +set use_stat_tables='preferably'; +CREATE TABLE t1 ( +a int NOT NULL PRIMARY KEY, +b varchar(32), +c char(16), +d date, +e double, +f bit(3), +INDEX idx1 (b, e), +INDEX idx2 (c, d), +INDEX idx3 (d), +INDEX idx4 (e, b, d) +) ENGINE= MYISAM; +INSERT INTO t1 VALUES +(0, NULL, NULL, NULL, NULL, NULL), +(7, 'xxxxxxxxxxxxxxxxxxxxxxxxxx', 'dddddddd', '1990-05-15', 0.1, b'100'), +(17, 'vvvvvvvvvvvvv', 'aaaa', '1989-03-12', 0.01, b'101'), +(1, 'vvvvvvvvvvvvv', NULL, '1989-03-12', 0.01, b'100'), +(12, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww', 'dddddddd', '1999-07-23', 0.112, b'001'), +(23, 'vvvvvvvvvvvvv', 'dddddddd', '1999-07-23', 0.1, b'100'), +(8, 'vvvvvvvvvvvvv', 'aaaa', '1999-07-23', 0.1, b'100'), +(22, 'xxxxxxxxxxxxxxxxxxxxxxxxxx', 'aaaa', '1989-03-12', 0.112, b'001'), +(31, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww', 'aaaa', '1999-07-23', 0.01, b'001'), +(10, NULL, 'aaaa', NULL, 0.01, b'010'), +(5, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww', 'dddddddd', '1999-07-23', 0.1, b'100'), +(15, 'vvvvvvvvvvvvv', 'ccccccccc', '1990-05-15', 0.1, b'010'), +(30, NULL, 'bbbbbb', NULL, NULL, b'100'), +(38, 'zzzzzzzzzzzzzzzzzz', 'bbbbbb', NULL, NULL, NULL), +(18, 'zzzzzzzzzzzzzzzzzz', 'ccccccccc', '1990-05-15', 0.01, b'010'), +(9, 'yyy', 'bbbbbb', '1998-08-28', 0.01, NULL), +(29, 'vvvvvvvvvvvvv', 'dddddddd', '1999-07-23', 0.012, b'010'), +(3, 'yyy', 'dddddddd', '1990-05-15', 0.112, b'010'), +(39, 'zzzzzzzzzzzzzzzzzz', 'bbbbbb', NULL, 0.01, b'100'), +(14, 'xxxxxxxxxxxxxxxxxxxxxxxxxx', 'ccccccccc', '1990-05-15', 0.1, b'100'), +(40, 'zzzzzzzzzzzzzzzzzz', 'bbbbbb', '1989-03-12', NULL, NULL), +(44, NULL, 'aaaa', '1989-03-12', NULL, b'010'), +(19, 'vvvvvvvvvvvvv', 'ccccccccc', '1990-05-15', 0.012, b'011'), +(21, 'zzzzzzzzzzzzzzzzzz', 'dddddddd', '1989-03-12', 0.112, b'100'), +(45, NULL, NULL, '1989-03-12', NULL, b'011'), +(2, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww', 'ccccccccc', '1990-05-15', 0.1, b'001'), +(35, 'yyy', 'aaaa', '1990-05-15', 0.05, b'011'), +(4, 'vvvvvvvvvvvvv', 'dddddddd', '1999-07-23', 0.01, b'101'), +(47, NULL, 'aaaa', '1990-05-15', 0.05, b'010'), +(42, NULL, 'ccccccccc', '1989-03-12', 0.01, b'010'), +(32, NULL, 'bbbbbb', '1990-05-15', 0.01, b'011'), +(49, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww' , 'aaaa', '1990-05-15', NULL, NULL), +(43, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww' , 'bbbbbb', '1990-05-15', NULL, b'100'), +(37, 'yyy', NULL, '1989-03-12', 0.05, b'011'), +(41, 'xxxxxxxxxxxxxxxxxxxxxxxxxx', 'ccccccccc', '1990-05-15', 0.05, NULL), +(34, 'yyy', NULL, NULL, NULL, NULL), +(33, 'zzzzzzzzzzzzzzzzzz', 'dddddddd', '1989-03-12', 0.05, b'011'), +(24, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww', 'dddddddd', '1990-05-15', 0.01, b'101'), +(11, 'yyy', 'ccccccccc', '1999-07-23', 0.1, NULL), +(25, 'zzzzzzzzzzzzzzzzzz', 'bbb', '1989-03-12', 0.01, b'101'); +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +SELECT COUNT(*) FROM t1; +COUNT(*) +40 +SELECT * FROM mysql.column_stats +WHERE db_name='test' AND table_name='t1' AND column_name='a'; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +SELECT MIN(t1.a), MAX(t1.a), +(SELECT COUNT(*) FROM t1 WHERE t1.b IS NULL) / +(SELECT COUNT(*) FROM t1) AS "NULLS_RATIO(t1.a)", +(SELECT COUNT(t1.a) FROM t1) / +(SELECT COUNT(DISTINCT t1.a) FROM t1) AS "AVG_FREQUENCY(t1.a)" +FROM t1; +MIN(t1.a) MAX(t1.a) NULLS_RATIO(t1.a) AVG_FREQUENCY(t1.a) +0 49 0.2000 1.0000 +SELECT * FROM mysql.column_stats +WHERE db_name='test' AND table_name='t1' AND column_name='b'; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +SELECT MIN(t1.b), MAX(t1.b), +(SELECT COUNT(*) FROM t1 WHERE t1.b IS NULL) / +(SELECT COUNT(*) FROM t1) AS "NULLS_RATIO(t1.b)", +(SELECT COUNT(t1.b) FROM t1) / +(SELECT COUNT(DISTINCT t1.b) FROM t1) AS "AVG_FREQUENCY(t1.b)" +FROM t1; +MIN(t1.b) MAX(t1.b) NULLS_RATIO(t1.b) AVG_FREQUENCY(t1.b) +vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 6.4000 +SELECT * FROM mysql.column_stats +WHERE db_name='test' AND table_name='t1' AND column_name='c'; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +SELECT MIN(t1.c), MAX(t1.c), +(SELECT COUNT(*) FROM t1 WHERE t1.c IS NULL) / +(SELECT COUNT(*) FROM t1) AS "NULLS_RATIO(t1.c)", +(SELECT COUNT(t1.c) FROM t1) / +(SELECT COUNT(DISTINCT t1.c) FROM t1) AS "AVG_FREQUENCY(t1.c)" +FROM t1; +MIN(t1.c) MAX(t1.c) NULLS_RATIO(t1.c) AVG_FREQUENCY(t1.c) +aaaa dddddddd 0.1250 7.0000 +SELECT * FROM mysql.column_stats +WHERE db_name='test' AND table_name='t1' AND column_name='d'; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +SELECT MIN(t1.d), MAX(t1.d), +(SELECT COUNT(*) FROM t1 WHERE t1.d IS NULL) / +(SELECT COUNT(*) FROM t1) AS "NULLS_RATIO(t1.d)", +(SELECT COUNT(t1.d) FROM t1) / +(SELECT COUNT(DISTINCT t1.d) FROM t1) AS "AVG_FREQUENCY(t1.d)" +FROM t1; +MIN(t1.d) MAX(t1.d) NULLS_RATIO(t1.d) AVG_FREQUENCY(t1.d) +1989-03-12 1999-07-23 0.1500 8.5000 +SELECT * FROM mysql.column_stats +WHERE db_name='test' AND table_name='t1' AND column_name='e'; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +SELECT MIN(t1.e), MAX(t1.e), +(SELECT COUNT(*) FROM t1 WHERE t1.e IS NULL) / +(SELECT COUNT(*) FROM t1) AS "NULLS_RATIO(t1.e)", +(SELECT COUNT(t1.e) FROM t1) / +(SELECT COUNT(DISTINCT t1.e) FROM t1) AS "AVG_FREQUENCY(t1.e)" +FROM t1; +MIN(t1.e) MAX(t1.e) NULLS_RATIO(t1.e) AVG_FREQUENCY(t1.e) +0.01 0.112 0.2250 6.2000 +SELECT * FROM mysql.index_stats +WHERE db_name='test' AND table_name='t1' AND index_name='idx1'; +db_name table_name index_name prefix_arity avg_frequency +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +SELECT +(SELECT COUNT(*) FROM t1 WHERE t1.b IS NOT NULL) / +(SELECT COUNT(DISTINCT t1.b) FROM t1 WHERE t1.b IS NOT NULL) +AS 'ARITY 1', +(SELECT COUNT(*) FROM t1 WHERE t1.b IS NOT NULL AND t1.e IS NOT NULL) / +(SELECT COUNT(DISTINCT t1.b, t1.e) FROM t1 +WHERE t1.b IS NOT NULL AND t1.e IS NOT NULL) +AS 'ARITY 2'; +ARITY 1 ARITY 2 +6.4000 1.6875 +SELECT * FROM mysql.index_stats +WHERE db_name='test' AND table_name='t1' AND index_name='idx2'; +db_name table_name index_name prefix_arity avg_frequency +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +SELECT +(SELECT COUNT(*) FROM t1 WHERE t1.c IS NOT NULL) / +(SELECT COUNT(DISTINCT t1.c) FROM t1 WHERE t1.c IS NOT NULL) +AS 'ARITY 1', +(SELECT COUNT(*) FROM t1 WHERE t1.c IS NOT NULL AND t1.d IS NOT NULL) / +(SELECT COUNT(DISTINCT t1.c, t1.d) FROM t1 +WHERE t1.c IS NOT NULL AND t1.d IS NOT NULL) +AS 'ARITY 2'; +ARITY 1 ARITY 2 +7.0000 2.3846 +SELECT * FROM mysql.index_stats +WHERE db_name='test' AND table_name='t1' AND index_name='idx3'; +db_name table_name index_name prefix_arity avg_frequency +test t1 idx3 1 8.5000 +SELECT +(SELECT COUNT(*) FROM t1 WHERE t1.d IS NOT NULL) / +(SELECT COUNT(DISTINCT t1.d) FROM t1 WHERE t1.d IS NOT NULL) +AS 'ARITY 1'; +ARITY 1 +8.5000 +SELECT * FROM mysql.index_stats +WHERE db_name='test' AND table_name='t1' AND index_name='idx4'; +db_name table_name index_name prefix_arity avg_frequency +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +SELECT +(SELECT COUNT(*) FROM t1 WHERE t1.e IS NOT NULL) / +(SELECT COUNT(DISTINCT t1.e) FROM t1 WHERE t1.e IS NOT NULL) +AS 'ARITY 1', +(SELECT COUNT(*) FROM t1 WHERE t1.e IS NOT NULL AND t1.b IS NOT NULL) / +(SELECT COUNT(DISTINCT t1.e, t1.b) FROM t1 +WHERE t1.e IS NOT NULL AND t1.b IS NOT NULL) +AS 'ARITY 2', +(SELECT COUNT(*) FROM t1 +WHERE t1.e IS NOT NULL AND t1.b IS NOT NULL AND t1.d IS NOT NULL) / +(SELECT COUNT(DISTINCT t1.e, t1.b, t1.d) FROM t1 +WHERE t1.e IS NOT NULL AND t1.b IS NOT NULL AND t1.d IS NOT NULL) +AS 'ARITY 3'; +ARITY 1 ARITY 2 ARITY 3 +6.2000 1.6875 1.1304 +DELETE FROM mysql.column_stats; +set histogram_size=4; +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +SELECT db_name, table_name, column_name, +min_value, max_value, +nulls_ratio, avg_frequency, +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a 0 49 0.0000 1.0000 4 JSON_HB { + "target_histogram_size": 4, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "0", + "size": 0.275, + "ndv": 11 + }, + { + "start": "12", + "size": 0.275, + "ndv": 11 + }, + { + "start": "29", + "size": 0.275, + "ndv": 11 + }, + { + "start": "41", + "end": "49", + "size": 0.175, + "ndv": 7 + } + ] +} +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 6.4000 4 JSON_HB { + "target_histogram_size": 4, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "vvvvvvvvvvvvv", + "size": 0.28125, + "ndv": 2 + }, + { + "start": "wwwwwwwwwwwwwwwwwwwwwwwwwwww", + "size": 0.28125, + "ndv": 2 + }, + { + "start": "xxxxxxxxxxxxxxxxxxxxxxxxxx", + "size": 0.28125, + "ndv": 3 + }, + { + "start": "zzzzzzzzzzzzzzzzzz", + "end": "zzzzzzzzzzzzzzzzzz", + "size": 0.15625, + "ndv": 1 + } + ] +} +test t1 c aaaa dddddddd 0.1250 7.0000 4 JSON_HB { + "target_histogram_size": 4, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "aaaa", + "size": 0.257142857, + "ndv": 1 + }, + { + "start": "bbb", + "size": 0.257142857, + "ndv": 3 + }, + { + "start": "ccccccccc", + "size": 0.257142857, + "ndv": 2 + }, + { + "start": "dddddddd", + "end": "dddddddd", + "size": 0.228571429, + "ndv": 1 + } + ] +} +test t1 d 1989-03-12 1999-07-23 0.1500 8.5000 3 JSON_HB { + "target_histogram_size": 4, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1989-03-12", + "size": 0.323529412, + "ndv": 1 + }, + { + "start": "1990-05-15", + "size": 0.411764706, + "ndv": 1 + }, + { + "start": "1998-08-28", + "end": "1999-07-23", + "size": 0.264705882, + "ndv": 2 + } + ] +} +test t1 e 0.01 0.112 0.2250 6.2000 4 JSON_HB { + "target_histogram_size": 4, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "0.01", + "size": 0.387096774, + "ndv": 1 + }, + { + "start": "0.012", + "size": 0.258064516, + "ndv": 3 + }, + { + "start": "0.1", + "size": 0.258064516, + "ndv": 2 + }, + { + "start": "0.112", + "end": "0.112", + "size": 0.096774194, + "ndv": 1 + } + ] +} +test t1 f 1 5 0.2000 6.4000 4 JSON_HB { + "target_histogram_size": 4, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start_hex": "01", + "size": 0.28125, + "ndv": 2 + }, + { + "start_hex": "02", + "size": 0.28125, + "ndv": 2 + }, + { + "start_hex": "04", + "size": 0.3125, + "ndv": 1 + }, + { + "start_hex": "05", + "end_hex": "05", + "size": 0.125, + "ndv": 1 + } + ] +} +DELETE FROM mysql.column_stats; +set histogram_size=8; +set histogram_type=@DOUBLE_PREC_TYPE; +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +SELECT db_name, table_name, column_name, +min_value, max_value, +nulls_ratio, avg_frequency, +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a 0 49 0.0000 1.0000 7 JSON_HB { + "target_histogram_size": 8, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "0", + "size": 0.15, + "ndv": 6 + }, + { + "start": "7", + "size": 0.15, + "ndv": 6 + }, + { + "start": "14", + "size": 0.15, + "ndv": 6 + }, + { + "start": "22", + "size": 0.15, + "ndv": 6 + }, + { + "start": "31", + "size": 0.15, + "ndv": 6 + }, + { + "start": "38", + "size": 0.15, + "ndv": 6 + }, + { + "start": "44", + "end": "49", + "size": 0.1, + "ndv": 4 + } + ] +} +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 6.4000 5 JSON_HB { + "target_histogram_size": 8, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "vvvvvvvvvvvvv", + "size": 0.25, + "ndv": 1 + }, + { + "start": "wwwwwwwwwwwwwwwwwwwwwwwwwwww", + "size": 0.21875, + "ndv": 1 + }, + { + "start": "xxxxxxxxxxxxxxxxxxxxxxxxxx", + "size": 0.125, + "ndv": 1 + }, + { + "start": "yyy", + "size": 0.1875, + "ndv": 1 + }, + { + "start": "zzzzzzzzzzzzzzzzzz", + "end": "zzzzzzzzzzzzzzzzzz", + "size": 0.21875, + "ndv": 1 + } + ] +} +test t1 c aaaa dddddddd 0.1250 7.0000 5 JSON_HB { + "target_histogram_size": 8, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "aaaa", + "size": 0.257142857, + "ndv": 1 + }, + { + "start": "bbb", + "size": 0.142857143, + "ndv": 2 + }, + { + "start": "bbbbbb", + "size": 0.085714286, + "ndv": 1 + }, + { + "start": "ccccccccc", + "size": 0.228571429, + "ndv": 1 + }, + { + "start": "dddddddd", + "end": "dddddddd", + "size": 0.285714286, + "ndv": 1 + } + ] +} +test t1 d 1989-03-12 1999-07-23 0.1500 8.5000 4 JSON_HB { + "target_histogram_size": 8, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1989-03-12", + "size": 0.323529412, + "ndv": 1 + }, + { + "start": "1990-05-15", + "size": 0.411764706, + "ndv": 1 + }, + { + "start": "1998-08-28", + "size": 0.147058824, + "ndv": 2 + }, + { + "start": "1999-07-23", + "end": "1999-07-23", + "size": 0.117647059, + "ndv": 1 + } + ] +} +test t1 e 0.01 0.112 0.2250 6.2000 5 JSON_HB { + "target_histogram_size": 8, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "0.01", + "size": 0.387096774, + "ndv": 1 + }, + { + "start": "0.012", + "size": 0.129032258, + "ndv": 2 + }, + { + "start": "0.05", + "size": 0.096774194, + "ndv": 1 + }, + { + "start": "0.1", + "size": 0.258064516, + "ndv": 1 + }, + { + "start": "0.112", + "end": "0.112", + "size": 0.129032258, + "ndv": 1 + } + ] +} +test t1 f 1 5 0.2000 6.4000 5 JSON_HB { + "target_histogram_size": 8, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start_hex": "01", + "size": 0.125, + "ndv": 1 + }, + { + "start_hex": "02", + "size": 0.25, + "ndv": 1 + }, + { + "start_hex": "03", + "size": 0.1875, + "ndv": 1 + }, + { + "start_hex": "04", + "size": 0.3125, + "ndv": 1 + }, + { + "start_hex": "05", + "end_hex": "05", + "size": 0.125, + "ndv": 1 + } + ] +} +DELETE FROM mysql.column_stats; +set histogram_size= 0; +set histogram_type=@SINGLE_PREC_TYPE; +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +CREATE TABLE t3 ( +a int NOT NULL PRIMARY KEY, +b varchar(32), +c char(16), +INDEX idx (c) +) ENGINE=MYISAM; +INSERT INTO t3 VALUES +(0, NULL, NULL), +(7, 'xxxxxxxxxxxxxxxxxxxxxxxxxx', 'dddddddd'), +(17, 'vvvvvvvvvvvvv', 'aaaa'), +(1, 'vvvvvvvvvvvvv', NULL), +(12, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww', 'dddddddd'), +(23, 'vvvvvvvvvvvvv', 'dddddddd'), +(8, 'vvvvvvvvvvvvv', 'aaaa'), +(22, 'xxxxxxxxxxxxxxxxxxxxxxxxxx', 'aaaa'), +(31, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww', 'aaaa'), +(10, NULL, 'aaaa'), +(5, 'wwwwwwwwwwwwwwwwwwwwwwwwwwww', 'dddddddd'), +(15, 'vvvvvvvvvvvvv', 'ccccccccc'), +(30, NULL, 'bbbbbb'), +(38, 'zzzzzzzzzzzzzzzzzz', 'bbbbbb'), +(18, 'zzzzzzzzzzzzzzzzzz', 'ccccccccc'), +(9, 'yyy', 'bbbbbb'), +(29, 'vvvvvvvvvvvvv', 'dddddddd'); +ANALYZE TABLE t3; +Table Op Msg_type Msg_text +test.t3 analyze status Engine-independent statistics collected +test.t3 analyze status OK +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +test t3 17 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +test t3 a 0 38 0.0000 4.0000 1.0000 0 NULL NULL +test t3 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.1765 18.0714 2.8000 0 NULL NULL +test t3 c aaaa dddddddd 0.1176 6.4000 3.7500 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +test t3 PRIMARY 1 1.0000 +test t3 idx 1 3.7500 +ALTER TABLE t1 RENAME TO s1; +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test s1 40 +test t3 17 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test s1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test s1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test s1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test s1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test s1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test s1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +test t3 a 0 38 0.0000 4.0000 1.0000 0 NULL NULL +test t3 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.1765 18.0714 2.8000 0 NULL NULL +test t3 c aaaa dddddddd 0.1176 6.4000 3.7500 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test s1 PRIMARY 1 1.0000 +test s1 idx1 1 6.4000 +test s1 idx1 2 1.6875 +test s1 idx2 1 7.0000 +test s1 idx2 2 2.3846 +test s1 idx3 1 8.5000 +test s1 idx4 1 6.2000 +test s1 idx4 2 1.6875 +test s1 idx4 3 1.1304 +test t3 PRIMARY 1 1.0000 +test t3 idx 1 3.7500 +RENAME TABLE s1 TO t1; +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +test t3 17 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +test t3 a 0 38 0.0000 4.0000 1.0000 0 NULL NULL +test t3 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.1765 18.0714 2.8000 0 NULL NULL +test t3 c aaaa dddddddd 0.1176 6.4000 3.7500 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +test t3 PRIMARY 1 1.0000 +test t3 idx 1 3.7500 +DROP TABLE t3; +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +CREATE TEMPORARY TABLE t0 ( +a int NOT NULL PRIMARY KEY, +b varchar(32) +); +INSERT INTO t0 SELECT a,b FROM t1; +ALTER TABLE t1 CHANGE COLUMN b x varchar(32), +CHANGE COLUMN e y double; +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `x` varchar(32) DEFAULT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `y` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`x`,`y`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`y`,`x`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +test t1 x vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 y 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +ALTER TABLE t1 CHANGE COLUMN x b varchar(32), +CHANGE COLUMN y e double; +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `b` varchar(32) DEFAULT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`b`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`b`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +ALTER TABLE t1 RENAME TO s1, CHANGE COLUMN b x varchar(32); +SHOW CREATE TABLE s1; +Table Create Table +s1 CREATE TABLE `s1` ( + `a` int(11) NOT NULL, + `x` varchar(32) DEFAULT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`x`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`x`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test s1 40 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test s1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test s1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test s1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test s1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test s1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +test s1 x vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test s1 PRIMARY 1 1.0000 +test s1 idx1 1 6.4000 +test s1 idx1 2 1.6875 +test s1 idx2 1 7.0000 +test s1 idx2 2 2.3846 +test s1 idx3 1 8.5000 +test s1 idx4 1 6.2000 +test s1 idx4 2 1.6875 +test s1 idx4 3 1.1304 +ALTER TABLE s1 RENAME TO t1, CHANGE COLUMN x b varchar(32); +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `b` varchar(32) DEFAULT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`b`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`b`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +ALTER TABLE t1 CHANGE COLUMN b x varchar(30); +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `x` varchar(30) DEFAULT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`x`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`x`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +ALTER TABLE t1 CHANGE COLUMN x b varchar(32); +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `b` varchar(32) DEFAULT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`b`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`b`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS(b) INDEXES(idx1, idx4); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +SELECT * INTO OUTFILE 'MYSQLTEST_VARDIR/tmp/save_column_stats' + FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n' + FROM mysql.column_stats WHERE column_name='b'; +SELECT * INTO OUTFILE 'MYSQLTEST_VARDIR/tmp/save_index_stats' + FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n' + FROM mysql.index_stats WHERE index_name IN ('idx1', 'idx4'); +ALTER TABLE t1 CHANGE COLUMN b x varchar(30); +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `x` varchar(30) DEFAULT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`x`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`x`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +ALTER TABLE t1 CHANGE COLUMN x b varchar(32); +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `b` varchar(32) DEFAULT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`b`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`b`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +LOAD DATA INFILE 'MYSQLTEST_VARDIR/tmp/save_column_stats' + INTO TABLE mysql.column_stats +FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n'; +LOAD DATA INFILE 'MYSQLTEST_VARDIR/tmp/save_index_stats' + INTO TABLE mysql.index_stats +FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY '\n'; +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +ALTER TABLE t1 DROP COLUMN b; +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`e`), + KEY `idx2` (`c`,`d`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +DROP INDEX idx2 ON t1; +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx1` (`e`), + KEY `idx3` (`d`), + KEY `idx4` (`e`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx3 1 8.5000 +DROP INDEX idx1 ON t1; +DROP INDEX idx4 ON t1; +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx3` (`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +ALTER TABLE t1 ADD COLUMN b varchar(32); +CREATE INDEX idx1 ON t1(b, e); +CREATE INDEX idx2 ON t1(c, d); +CREATE INDEX idx4 ON t1(e, b, d); +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + `b` varchar(32) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx3` (`d`), + KEY `idx1` (`b`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx4` (`e`,`b`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx3 1 8.5000 +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS(b) INDEXES(idx1, idx2, idx4); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b NULL NULL 1.0000 NULL NULL 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 NULL +test t1 idx1 2 NULL +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 NULL +test t1 idx4 3 NULL +UPDATE t1 SET b=(SELECT b FROM t0 WHERE t0.a= t1.a); +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS(b) INDEXES(idx1, idx2, idx4); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +ALTER TABLE t1 DROP COLUMN b, +DROP INDEX idx1, DROP INDEX idx2, DROP INDEX idx4; +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx3` (`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx3 1 8.5000 +ALTER TABLE t1 ADD COLUMN b varchar(32); +ALTER TABLE t1 +ADD INDEX idx1 (b, e), ADD INDEX idx2 (c, d), ADD INDEX idx4 (e, b, d); +UPDATE t1 SET b=(SELECT b FROM t0 WHERE t0.a= t1.a); +SHOW CREATE TABLE t1; +Table Create Table +t1 CREATE TABLE `t1` ( + `a` int(11) NOT NULL, + `c` char(16) DEFAULT NULL, + `d` date DEFAULT NULL, + `e` double DEFAULT NULL, + `f` bit(3) DEFAULT NULL, + `b` varchar(32) DEFAULT NULL, + PRIMARY KEY (`a`), + KEY `idx3` (`d`), + KEY `idx1` (`b`,`e`), + KEY `idx2` (`c`,`d`), + KEY `idx4` (`e`,`b`,`d`) +) ENGINE=MyISAM DEFAULT CHARSET=latin1 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx3 1 8.5000 +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS(b) INDEXES(idx1, idx2, idx4); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +DELETE FROM mysql.table_stats; +DELETE FROM mysql.column_stats; +DELETE FROM mysql.index_stats; +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS() INDEXES(); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS(c,e,b) INDEXES(idx2,idx4); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +DELETE FROM mysql.index_stats WHERE table_name='t1' AND index_name='primary'; +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS() INDEXES(primary); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +DELETE FROM mysql.table_stats; +DELETE FROM mysql.column_stats; +DELETE FROM mysql.index_stats; +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS ALL INDEXES ALL; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t1 idx4 3 1.1304 +CREATE TABLE t2 LIKE t1; +ALTER TABLE t2 ENGINE=InnoDB; +INSERT INTO t2 SELECT * FROM t1; +set optimizer_switch='extended_keys=off'; +ANALYZE TABLE t2; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +test t2 40 +SELECT * FROM mysql.column_stats ORDER BY column_name, table_name; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t2 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t2 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t2 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t2 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t2 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +test t2 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t2 PRIMARY 1 1.0000 +test t1 idx1 1 6.4000 +test t2 idx1 1 6.4000 +test t1 idx1 2 1.6875 +test t2 idx1 2 1.6875 +test t1 idx2 1 7.0000 +test t2 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t2 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t2 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t2 idx4 1 6.2000 +test t1 idx4 2 1.6875 +test t2 idx4 2 1.6875 +test t1 idx4 3 1.1304 +test t2 idx4 3 1.1304 +DELETE FROM mysql.table_stats; +DELETE FROM mysql.column_stats; +DELETE FROM mysql.index_stats; +set optimizer_switch='extended_keys=on'; +ANALYZE TABLE t2; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t2 40 +SELECT * FROM mysql.column_stats ORDER BY column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t2 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t2 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 0 NULL NULL +test t2 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t2 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t2 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t2 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 PRIMARY 1 1.0000 +test t2 idx1 1 6.4000 +test t2 idx1 2 1.6875 +test t2 idx1 3 1.0000 +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx2 3 1.0000 +test t2 idx3 1 8.5000 +test t2 idx3 2 1.0000 +test t2 idx4 1 6.2000 +test t2 idx4 2 1.6875 +test t2 idx4 3 1.1304 +test t2 idx4 4 1.0000 +ALTER TABLE t2 DROP PRIMARY KEY, DROP INDEX idx1; +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx3 1 8.5000 +test t2 idx4 1 6.2000 +test t2 idx4 2 1.6875 +test t2 idx4 3 1.1304 +UPDATE t2 SET b=0 WHERE b IS NULL; +ALTER TABLE t2 ADD PRIMARY KEY (a,b); +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx3 1 8.5000 +test t2 idx4 1 6.2000 +test t2 idx4 2 1.6875 +test t2 idx4 3 1.1304 +ANALYZE TABLE t2 PERSISTENT FOR COLUMNS() INDEXES ALL; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 PRIMARY 1 1.0000 +test t2 PRIMARY 2 1.0000 +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx2 3 1.0000 +test t2 idx2 4 1.0000 +test t2 idx3 1 8.5000 +test t2 idx3 2 1.0000 +test t2 idx3 3 1.0000 +test t2 idx4 1 6.2000 +test t2 idx4 2 1.7222 +test t2 idx4 3 1.1154 +test t2 idx4 4 1.0000 +ALTER TABLE t2 CHANGE COLUMN b b varchar(30); +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx3 1 8.5000 +ANALYZE TABLE t2 PERSISTENT FOR COLUMNS ALL INDEXES ALL; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 PRIMARY 1 1.0000 +test t2 PRIMARY 2 1.0000 +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx2 3 1.0000 +test t2 idx2 4 1.0000 +test t2 idx3 1 8.5000 +test t2 idx3 2 1.0000 +test t2 idx3 3 1.0000 +test t2 idx4 1 6.2000 +test t2 idx4 2 1.7222 +test t2 idx4 3 1.1154 +test t2 idx4 4 1.0000 +ALTER TABLE t2 CHANGE COLUMN b b varchar(32); +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 PRIMARY 1 1.0000 +test t2 PRIMARY 2 1.0000 +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx2 3 1.0000 +test t2 idx2 4 1.0000 +test t2 idx3 1 8.5000 +test t2 idx3 2 1.0000 +test t2 idx3 3 1.0000 +test t2 idx4 1 6.2000 +test t2 idx4 2 1.7222 +test t2 idx4 3 1.1154 +test t2 idx4 4 1.0000 +ANALYZE TABLE t2 PERSISTENT FOR COLUMNS ALL INDEXES ALL; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 PRIMARY 1 1.0000 +test t2 PRIMARY 2 1.0000 +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx2 3 1.0000 +test t2 idx2 4 1.0000 +test t2 idx3 1 8.5000 +test t2 idx3 2 1.0000 +test t2 idx3 3 1.0000 +test t2 idx4 1 6.2000 +test t2 idx4 2 1.7222 +test t2 idx4 3 1.1154 +test t2 idx4 4 1.0000 +ALTER TABLE t2 DROP COLUMN b, DROP PRIMARY KEY, ADD PRIMARY KEY(a); +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx3 1 8.5000 +ANALYZE TABLE t2 PERSISTENT FOR COLUMNS() INDEXES ALL; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +SELECT * FROM mysql.index_stats ORDER BY index_name, prefix_arity, table_name; +db_name table_name index_name prefix_arity avg_frequency +test t2 PRIMARY 1 1.0000 +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx2 3 1.0000 +test t2 idx3 1 8.5000 +test t2 idx3 2 1.0000 +test t2 idx4 1 6.2000 +test t2 idx4 2 2.2308 +test t2 idx4 3 1.0000 +set optimizer_switch='extended_keys=off'; +ALTER TABLE t1 +DROP INDEX idx1, +DROP INDEX idx4; +ALTER TABLE t1 +MODIFY COLUMN b text, +ADD INDEX idx1 (b(4), e), +ADD INDEX idx4 (e, b(4), d); +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t2 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t2 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t2 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t2 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t2 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t2 PRIMARY 1 1.0000 +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx2 3 1.0000 +test t2 idx3 1 8.5000 +test t2 idx3 2 1.0000 +test t2 idx4 1 6.2000 +test t2 idx4 2 2.2308 +test t2 idx4 3 1.0000 +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze Warning Engine-independent statistics are not collected for column 'b' +test.t1 analyze status OK +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +test t2 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t2 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t2 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t2 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t2 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 NULL +test t1 idx1 2 NULL +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 NULL +test t1 idx4 3 NULL +test t2 PRIMARY 1 1.0000 +test t2 idx2 1 7.0000 +test t2 idx2 2 2.3846 +test t2 idx2 3 1.0000 +test t2 idx3 1 8.5000 +test t2 idx3 2 1.0000 +test t2 idx4 1 6.2000 +test t2 idx4 2 2.2308 +test t2 idx4 3 1.0000 +DELETE FROM mysql.table_stats; +DELETE FROM mysql.column_stats; +DELETE FROM mysql.index_stats; +ANALYZE TABLE mysql.column_stats PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +mysql.column_stats analyze error Invalid argument +ANALYZE TABLE mysql.column_stats; +Table Op Msg_type Msg_text +mysql.column_stats analyze status OK +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +set use_stat_tables='never'; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze Warning Engine-independent statistics are not collected for column 'b' +test.t1 analyze status Table is already up to date +SELECT * FROM mysql.table_stats; +db_name table_name cardinality +test t1 40 +SELECT * FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 49 0.0000 4.0000 1.0000 0 NULL NULL +test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 0 NULL NULL +test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 0 NULL NULL +test t1 e 0.01 0.112 0.2250 8.0000 6.2000 0 NULL NULL +test t1 f 1 5 0.2000 1.0000 6.4000 0 NULL NULL +SELECT * FROM mysql.index_stats; +db_name table_name index_name prefix_arity avg_frequency +test t1 PRIMARY 1 1.0000 +test t1 idx1 1 NULL +test t1 idx1 2 NULL +test t1 idx2 1 7.0000 +test t1 idx2 2 2.3846 +test t1 idx3 1 8.5000 +test t1 idx4 1 6.2000 +test t1 idx4 2 NULL +test t1 idx4 3 NULL +DELETE FROM mysql.table_stats; +DELETE FROM mysql.column_stats; +DELETE FROM mysql.index_stats; +ANALYZE TABLE t1 PERSISTENT FOR COLUMNS(b) INDEXES(); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze Warning Engine-independent statistics are not collected for column 'b' +test.t1 analyze status Table is already up to date +ANALYZE TABLE t1 PERSISTENT FOR columns(a,b) INDEXES(); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze Warning Engine-independent statistics are not collected for column 'b' +test.t1 analyze status Table is already up to date +ANALYZE TABLE t1 PERSISTENT FOR columns(b) indexes(idx2); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze Warning Engine-independent statistics are not collected for column 'b' +test.t1 analyze status Table is already up to date +ANALYZE TABLE t1 PERSISTENT FOR columns() indexes(idx2); +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +DELETE FROM mysql.table_stats; +DELETE FROM mysql.column_stats; +DELETE FROM mysql.index_stats; +DROP TABLE t1,t2; +set names utf8; +CREATE DATABASE world; +use world; +CREATE TABLE Country ( +Code char(3) NOT NULL default '', +Name char(52) NOT NULL default '', +SurfaceArea float(10,2) NOT NULL default '0.00', +Population int(11) NOT NULL default '0', +Capital int(11) default NULL, +PRIMARY KEY (Code), +UNIQUE INDEX (Name) +) CHARACTER SET utf8 COLLATE utf8_bin; +CREATE TABLE City ( +ID int(11) NOT NULL auto_increment, +Name char(35) NOT NULL default '', +Country char(3) NOT NULL default '', +Population int(11) NOT NULL default '0', +PRIMARY KEY (ID), +INDEX (Population), +INDEX (Country) +) CHARACTER SET utf8 COLLATE utf8_bin; +CREATE TABLE CountryLanguage ( +Country char(3) NOT NULL default '', +Language char(30) NOT NULL default '', +Percentage float(3,1) NOT NULL default '0.0', +PRIMARY KEY (Country, Language), +INDEX (Percentage) +) CHARACTER SET utf8 COLLATE utf8_bin; +set use_stat_tables='preferably'; +ANALYZE TABLE Country, City, CountryLanguage; +SELECT UPPER(db_name), UPPER(table_name), cardinality +FROM mysql.table_stats; +UPPER(db_name) UPPER(table_name) cardinality +WORLD CITY 4079 +WORLD COUNTRY 239 +WORLD COUNTRYLANGUAGE 984 +SELECT UPPER(db_name), UPPER(table_name), +column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency +FROM mysql.column_stats; +UPPER(db_name) UPPER(table_name) column_name min_value max_value nulls_ratio avg_length avg_frequency +WORLD CITY Country ABW ZWE 0.0000 3.0000 17.5819 +WORLD CITY ID 1 4079 0.0000 4.0000 1.0000 +WORLD CITY Name A Coruña (La Coruña) Ãœrgenc 0.0000 8.6416 1.0195 +WORLD CITY Population 42 10500000 0.0000 4.0000 1.0467 +WORLD COUNTRY Capital 1 4074 0.0293 4.0000 1.0000 +WORLD COUNTRY Code ABW ZWE 0.0000 3.0000 1.0000 +WORLD COUNTRY Name Afghanistan Zimbabwe 0.0000 10.1088 1.0000 +WORLD COUNTRY Population 0 1277558000 0.0000 4.0000 1.0575 +WORLD COUNTRY SurfaceArea 0.40 17075400.00 0.0000 4.0000 1.0042 +WORLD COUNTRYLANGUAGE Country ABW ZWE 0.0000 3.0000 4.2232 +WORLD COUNTRYLANGUAGE Language Abhyasi [South]Mande 0.0000 7.1778 2.1532 +WORLD COUNTRYLANGUAGE Percentage 0.0 99.9 0.0000 4.0000 2.7640 +SELECT UPPER(db_name), UPPER(table_name), +index_name, prefix_arity, avg_frequency +FROM mysql.index_stats; +UPPER(db_name) UPPER(table_name) index_name prefix_arity avg_frequency +WORLD CITY Country 1 17.5819 +WORLD CITY PRIMARY 1 1.0000 +WORLD CITY Population 1 1.0467 +WORLD COUNTRY Name 1 1.0000 +WORLD COUNTRY PRIMARY 1 1.0000 +WORLD COUNTRYLANGUAGE PRIMARY 1 4.2232 +WORLD COUNTRYLANGUAGE PRIMARY 2 1.0000 +WORLD COUNTRYLANGUAGE Percentage 1 2.7640 +use test; +set use_stat_tables='never'; +CREATE DATABASE world_innodb; +use world_innodb; +CREATE TABLE Country ( +Code char(3) NOT NULL default '', +Name char(52) NOT NULL default '', +SurfaceArea float(10,2) NOT NULL default '0.00', +Population int(11) NOT NULL default '0', +Capital int(11) default NULL, +PRIMARY KEY (Code), +UNIQUE INDEX (Name) +) CHARACTER SET utf8 COLLATE utf8_bin; +CREATE TABLE City ( +ID int(11) NOT NULL auto_increment, +Name char(35) NOT NULL default '', +Country char(3) NOT NULL default '', +Population int(11) NOT NULL default '0', +PRIMARY KEY (ID), +INDEX (Population), +INDEX (Country) +) CHARACTER SET utf8 COLLATE utf8_bin; +CREATE TABLE CountryLanguage ( +Country char(3) NOT NULL default '', +Language char(30) NOT NULL default '', +Percentage float(3,1) NOT NULL default '0.0', +PRIMARY KEY (Country, Language), +INDEX (Percentage) +) CHARACTER SET utf8 COLLATE utf8_bin; +ALTER TABLE Country ENGINE=InnoDB; +ALTER TABLE City ENGINE=InnoDB; +ALTER TABLE CountryLanguage ENGINE=InnoDB; +set use_stat_tables='preferably'; +ANALYZE TABLE Country, City, CountryLanguage; +SELECT UPPER(db_name), UPPER(table_name), cardinality +FROM mysql.table_stats; +UPPER(db_name) UPPER(table_name) cardinality +WORLD CITY 4079 +WORLD COUNTRY 239 +WORLD COUNTRYLANGUAGE 984 +WORLD_INNODB CITY 4079 +WORLD_INNODB COUNTRY 239 +WORLD_INNODB COUNTRYLANGUAGE 984 +SELECT UPPER(db_name), UPPER(table_name), +column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency +FROM mysql.column_stats; +UPPER(db_name) UPPER(table_name) column_name min_value max_value nulls_ratio avg_length avg_frequency +WORLD CITY Country ABW ZWE 0.0000 3.0000 17.5819 +WORLD CITY ID 1 4079 0.0000 4.0000 1.0000 +WORLD CITY Name A Coruña (La Coruña) Ãœrgenc 0.0000 8.6416 1.0195 +WORLD CITY Population 42 10500000 0.0000 4.0000 1.0467 +WORLD COUNTRY Capital 1 4074 0.0293 4.0000 1.0000 +WORLD COUNTRY Code ABW ZWE 0.0000 3.0000 1.0000 +WORLD COUNTRY Name Afghanistan Zimbabwe 0.0000 10.1088 1.0000 +WORLD COUNTRY Population 0 1277558000 0.0000 4.0000 1.0575 +WORLD COUNTRY SurfaceArea 0.40 17075400.00 0.0000 4.0000 1.0042 +WORLD COUNTRYLANGUAGE Country ABW ZWE 0.0000 3.0000 4.2232 +WORLD COUNTRYLANGUAGE Language Abhyasi [South]Mande 0.0000 7.1778 2.1532 +WORLD COUNTRYLANGUAGE Percentage 0.0 99.9 0.0000 4.0000 2.7640 +WORLD_INNODB CITY Country ABW ZWE 0.0000 3.0000 17.5819 +WORLD_INNODB CITY ID 1 4079 0.0000 4.0000 1.0000 +WORLD_INNODB CITY Name A Coruña (La Coruña) Ãœrgenc 0.0000 8.6416 1.0195 +WORLD_INNODB CITY Population 42 10500000 0.0000 4.0000 1.0467 +WORLD_INNODB COUNTRY Capital 1 4074 0.0293 4.0000 1.0000 +WORLD_INNODB COUNTRY Code ABW ZWE 0.0000 3.0000 1.0000 +WORLD_INNODB COUNTRY Name Afghanistan Zimbabwe 0.0000 10.1088 1.0000 +WORLD_INNODB COUNTRY Population 0 1277558000 0.0000 4.0000 1.0575 +WORLD_INNODB COUNTRY SurfaceArea 0.40 17075400.00 0.0000 4.0000 1.0042 +WORLD_INNODB COUNTRYLANGUAGE Country ABW ZWE 0.0000 3.0000 4.2232 +WORLD_INNODB COUNTRYLANGUAGE Language Abhyasi [South]Mande 0.0000 7.1778 2.1532 +WORLD_INNODB COUNTRYLANGUAGE Percentage 0.0 99.9 0.0000 4.0000 2.7640 +SELECT UPPER(db_name), UPPER(table_name), +index_name, prefix_arity, avg_frequency +FROM mysql.index_stats; +UPPER(db_name) UPPER(table_name) index_name prefix_arity avg_frequency +WORLD CITY Country 1 17.5819 +WORLD CITY PRIMARY 1 1.0000 +WORLD CITY Population 1 1.0467 +WORLD COUNTRY Name 1 1.0000 +WORLD COUNTRY PRIMARY 1 1.0000 +WORLD COUNTRYLANGUAGE PRIMARY 1 4.2232 +WORLD COUNTRYLANGUAGE PRIMARY 2 1.0000 +WORLD COUNTRYLANGUAGE Percentage 1 2.7640 +WORLD_INNODB CITY Country 1 17.5819 +WORLD_INNODB CITY PRIMARY 1 1.0000 +WORLD_INNODB CITY Population 1 1.0467 +WORLD_INNODB COUNTRY Name 1 1.0000 +WORLD_INNODB COUNTRY PRIMARY 1 1.0000 +WORLD_INNODB COUNTRYLANGUAGE PRIMARY 1 4.2232 +WORLD_INNODB COUNTRYLANGUAGE PRIMARY 2 1.0000 +WORLD_INNODB COUNTRYLANGUAGE Percentage 1 2.7640 +use world; +set use_stat_tables='preferably'; +set histogram_size=100; +set histogram_type=@SINGLE_PREC_TYPE; +ANALYZE TABLE CountryLanguage; +set histogram_size=254; +set histogram_type=@DOUBLE_PREC_TYPE; +ANALYZE TABLE City; +FLUSH TABLES; +select UPPER(db_name),UPPER(table_name),UPPER(column_name),min_value,max_value,nulls_ratio,avg_length,avg_frequency,hist_size,hist_type,decode_histogram(hist_type,histogram) from mysql.column_stats where UPPER(db_name)='WORLD' and UPPER(table_name)='COUNTRYLANGUAGE' and UPPER(column_name) = 'PERCENTAGE';; +UPPER(db_name) WORLD +UPPER(table_name) COUNTRYLANGUAGE +UPPER(column_name) PERCENTAGE +min_value 0.0 +max_value 99.9 +nulls_ratio 0.0000 +avg_length 4.0000 +avg_frequency 2.7640 +hist_size 85 +hist_type JSON_HB +decode_histogram(hist_type,histogram) { + "target_histogram_size": 100, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "0.0", + "size": 0.066056911, + "ndv": 1 + }, + { + "start": "0.1", + "size": 0.020325203, + "ndv": 1 + }, + { + "start": "0.2", + "size": 0.022357724, + "ndv": 1 + }, + { + "start": "0.3", + "size": 0.017276423, + "ndv": 1 + }, + { + "start": "0.4", + "size": 0.025406504, + "ndv": 1 + }, + { + "start": "0.5", + 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"ndv": 17 + }, + { + "start": "2500000", + "size": 0.004167688, + "ndv": 17 + }, + { + "start": "2896016", + "size": 0.004167688, + "ndv": 17 + }, + { + "start": "4017733", + "size": 0.004167688, + "ndv": 17 + }, + { + "start": "6758845", + "end": "10500000", + "size": 0.00392253, + "ndv": 16 + } + ] +} +set histogram_type=@SINGLE_PREC_TYPE; +set histogram_size=0; +use test; +DROP DATABASE world; +SELECT UPPER(db_name), UPPER(table_name), cardinality +FROM mysql.table_stats; +UPPER(db_name) UPPER(table_name) cardinality +WORLD_INNODB CITY 4079 +WORLD_INNODB COUNTRY 239 +WORLD_INNODB COUNTRYLANGUAGE 984 +SELECT UPPER(db_name), UPPER(table_name), +column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency +FROM mysql.column_stats; +UPPER(db_name) UPPER(table_name) column_name min_value max_value nulls_ratio avg_length avg_frequency +WORLD_INNODB CITY Country ABW ZWE 0.0000 3.0000 17.5819 +WORLD_INNODB CITY ID 1 4079 0.0000 4.0000 1.0000 +WORLD_INNODB CITY Name A Coruña (La Coruña) Ãœrgenc 0.0000 8.6416 1.0195 +WORLD_INNODB CITY Population 42 10500000 0.0000 4.0000 1.0467 +WORLD_INNODB COUNTRY Capital 1 4074 0.0293 4.0000 1.0000 +WORLD_INNODB COUNTRY Code ABW ZWE 0.0000 3.0000 1.0000 +WORLD_INNODB COUNTRY Name Afghanistan Zimbabwe 0.0000 10.1088 1.0000 +WORLD_INNODB COUNTRY Population 0 1277558000 0.0000 4.0000 1.0575 +WORLD_INNODB COUNTRY SurfaceArea 0.40 17075400.00 0.0000 4.0000 1.0042 +WORLD_INNODB COUNTRYLANGUAGE Country ABW ZWE 0.0000 3.0000 4.2232 +WORLD_INNODB COUNTRYLANGUAGE Language Abhyasi [South]Mande 0.0000 7.1778 2.1532 +WORLD_INNODB COUNTRYLANGUAGE Percentage 0.0 99.9 0.0000 4.0000 2.7640 +SELECT UPPER(db_name), UPPER(table_name), +index_name, prefix_arity, avg_frequency +FROM mysql.index_stats; +UPPER(db_name) UPPER(table_name) index_name prefix_arity avg_frequency +WORLD_INNODB CITY Country 1 17.5819 +WORLD_INNODB CITY PRIMARY 1 1.0000 +WORLD_INNODB CITY Population 1 1.0467 +WORLD_INNODB COUNTRY Name 1 1.0000 +WORLD_INNODB COUNTRY PRIMARY 1 1.0000 +WORLD_INNODB COUNTRYLANGUAGE PRIMARY 1 4.2232 +WORLD_INNODB COUNTRYLANGUAGE PRIMARY 2 1.0000 +WORLD_INNODB COUNTRYLANGUAGE Percentage 1 2.7640 +DROP DATABASE world_innodb; +SELECT UPPER(db_name), UPPER(table_name), cardinality +FROM mysql.table_stats; +UPPER(db_name) UPPER(table_name) cardinality +SELECT UPPER(db_name), UPPER(table_name), +column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency +FROM mysql.column_stats; +UPPER(db_name) UPPER(table_name) column_name min_value max_value nulls_ratio avg_length avg_frequency +SELECT UPPER(db_name), UPPER(table_name), +index_name, prefix_arity, avg_frequency +FROM mysql.index_stats; +UPPER(db_name) UPPER(table_name) index_name prefix_arity avg_frequency +DELETE FROM mysql.table_stats; +DELETE FROM mysql.column_stats; +DELETE FROM mysql.index_stats; +# +# Bug mdev-4357: empty string as a value of the HIST_SIZE column +# from mysql.column_stats +# +create table t1 (a int); +insert into t1 values (1),(2),(3); +set histogram_size=10; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select db_name, table_name, column_name, +min_value, max_value, +nulls_ratio, avg_frequency, +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a 1 3 0.0000 1.0000 3 JSON_HB { + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.333333333, + "ndv": 1 + }, + { + "start": "2", + "size": 0.333333333, + "ndv": 1 + }, + { + "start": "3", + "end": "3", + "size": 0.333333333, + "ndv": 1 + } + ] +} +set histogram_size=default; +drop table t1; +# +# Bug mdev-4359: wrong setting of the HIST_SIZE column +# (see also mdev-4357) from mysql.column_stats +# +create table t1 ( a int); +insert into t1 values (1),(2),(3),(4),(5); +set histogram_size=10; +set histogram_type=@DOUBLE_PREC_TYPE; +show variables like 'histogram%'; +Variable_name Value +histogram_size 10 +histogram_type JSON_HB +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select db_name, table_name, column_name, +min_value, max_value, +nulls_ratio, avg_frequency, +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats +ORDER BY db_name, table_name, column_name; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a 1 5 0.0000 1.0000 5 JSON_HB { + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.2, + "ndv": 1 + }, + { + "start": "2", + "size": 0.2, + "ndv": 1 + }, + { + "start": "3", + "size": 0.2, + "ndv": 1 + }, + { + "start": "4", + "size": 0.2, + "ndv": 1 + }, + { + "start": "5", + "end": "5", + "size": 0.2, + "ndv": 1 + } + ] +} +set histogram_size=0; +set histogram_type=@SINGLE_PREC_TYPE; +drop table t1; +# +# Bug mdev-4369: histogram for a column with many distinct values +# +CREATE TABLE t1 (id int); +CREATE TABLE t2 (id int); +INSERT INTO t1 (id) VALUES (1), (1), (1),(1); +INSERT INTO t1 (id) SELECT id FROM t1; +INSERT INTO t1 SELECT id+1 FROM t1; +INSERT INTO t1 SELECT id+2 FROM t1; +INSERT INTO t1 SELECT id+4 FROM t1; +INSERT INTO t1 SELECT id+8 FROM t1; +INSERT INTO t1 SELECT id+16 FROM t1; +INSERT INTO t1 SELECT id+32 FROM t1; +INSERT INTO t1 SELECT id+64 FROM t1; +INSERT INTO t1 SELECT id+128 FROM t1; +INSERT INTO t1 SELECT id+256 FROM t1; +INSERT INTO t1 SELECT id+512 FROM t1; +INSERT INTO t2 SELECT id FROM t1 ORDER BY id*rand(); +SELECT COUNT(*) FROM t2; +COUNT(*) +8192 +SELECT COUNT(DISTINCT id) FROM t2; +COUNT(DISTINCT id) +1024 +set @@tmp_table_size=1024*16; +set @@max_heap_table_size=1024*16; +set histogram_size=63; +analyze table t2 persistent for all; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +select db_name, table_name, column_name, +min_value, max_value, +nulls_ratio, avg_frequency, +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats; +db_name table_name column_name min_value max_value nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t2 id 1 1024 0.0000 8.0000 63 JSON_HB { + "target_histogram_size": 63, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "17", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "33", + "size": 0.015991211, + "ndv": 18 + }, + { + "start": "50", + "size": 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0.015991211, + "ndv": 17 + }, + { + "start": "590", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "606", + "size": 0.015991211, + "ndv": 18 + }, + { + "start": "623", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "639", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "656", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "672", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "688", + "size": 0.015991211, + "ndv": 18 + }, + { + "start": "705", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "721", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "737", + "size": 0.015991211, + "ndv": 18 + }, + { + "start": "754", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "770", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "787", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "803", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "819", + "size": 0.015991211, + "ndv": 18 + }, + { + "start": "836", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "852", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "868", + "size": 0.015991211, + "ndv": 18 + }, + { + "start": "885", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "901", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "918", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "934", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "950", + "size": 0.015991211, + "ndv": 18 + }, + { + "start": "967", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "983", + "size": 0.015991211, + "ndv": 17 + }, + { + "start": "999", + "size": 0.015991211, + "ndv": 18 + }, + { + "start": "1016", + "end": "1024", + "size": 0.008544922, + "ndv": 9 + } + ] +} +set histogram_size=0; +drop table t1, t2; +set use_stat_tables=@save_use_stat_tables; +# +# Bug MDEV-7383: min/max value for a column not utf8 compatible +# +create table t1 (a varchar(100)) engine=MyISAM; +insert into t1 values(unhex('D879626AF872675F73E662F8')); +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +show warnings; +Level Code Message +select db_name, table_name, column_name, +HEX(min_value), HEX(max_value), +nulls_ratio, avg_frequency, +hist_size, hist_type, decode_histogram(hist_type,histogram) +FROM mysql.column_stats; +db_name table_name column_name HEX(min_value) HEX(max_value) nulls_ratio avg_frequency hist_size hist_type decode_histogram(hist_type,histogram) +test t1 a D879626AF872675F73E662F8 D879626AF872675F73E662F8 0.0000 1.0000 0 NULL NULL +drop table t1; +# +# MDEB-9744: session optimizer_use_condition_selectivity=5 causing SQL Error (1918): +# Encountered illegal value '' when converting to DECIMAL +# +set @save_optimizer_use_condition_selectivity= @@optimizer_use_condition_selectivity; +set optimizer_use_condition_selectivity=3, use_stat_tables=preferably; +create table t1 (id int(10),cost decimal(9,2)) engine=innodb; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +create temporary table t2 (id int); +insert into t2 (id) select id from t1 where cost > 0; +select * from t2; +id +set use_stat_tables=@save_use_stat_tables; +set optimizer_use_condition_selectivity= @save_optimizer_use_condition_selectivity; +drop table t1,t2; +# +# MDEV-16507: statistics for temporary tables should not be used +# +SET +@save_optimizer_use_condition_selectivity= @@optimizer_use_condition_selectivity; +SET @@use_stat_tables = preferably ; +SET @@optimizer_use_condition_selectivity = 4; +CREATE TABLE t1 ( +TIMESTAMP TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP +ON UPDATE CURRENT_TIMESTAMP +); +SET @had_t1_table= @@warning_count != 0; +CREATE TEMPORARY TABLE tmp_t1 LIKE t1; +INSERT INTO tmp_t1 VALUES (now()); +INSERT INTO t1 SELECT * FROM tmp_t1 WHERE @had_t1_table=0; +DROP TABLE t1; +SET +use_stat_tables=@save_use_stat_tables; +SET +optimizer_use_condition_selectivity= @save_optimizer_use_condition_selectivity; +# End of 10.0 tests +# +# MDEV-9590: Always print "Engine-independent statistic" warnings and +# might be filtering columns unintentionally from engines +# +set use_stat_tables='NEVER'; +create table t1 (test blob); +show variables like 'use_stat_tables'; +Variable_name Value +use_stat_tables NEVER +analyze table t1; +Table Op Msg_type Msg_text +test.t1 analyze status Table is already up to date +drop table t1; +# +# MDEV-10435 crash with bad stat tables +# +set use_stat_tables='preferably'; +call mtr.add_suppression("Column count of mysql.table_stats is wrong. Expected 3, found 1. The table is probably corrupted"); +rename table mysql.table_stats to test.table_stats; +flush tables; +create table t1 (a int); +rename table t1 to t2, t3 to t4; +ERROR 42S02: Table 'test.t3' doesn't exist +drop table t1; +rename table test.table_stats to mysql.table_stats; +rename table mysql.table_stats to test.table_stats; +create table mysql.table_stats (a int); +flush tables; +create table t1 (a int); +rename table t1 to t2, t3 to t4; +ERROR 42S02: Table 'test.t3' doesn't exist +drop table t1, mysql.table_stats; +rename table test.table_stats to mysql.table_stats; +# +# MDEV-19334: bool is_eits_usable(Field*): Assertion `field->table->stats_is_read' failed. +# +create temporary table t1(a int); +insert into t1 values (1),(2),(3); +set use_stat_tables=preferably; +set @optimizer_use_condition_selectivity= @@optimizer_use_condition_selectivity; +set optimizer_use_condition_selectivity=4; +select * from t1 where a >= 2; +a +2 +3 +drop table t1; +set @@optimizer_use_condition_selectivity= @save_optimizer_use_condition_selectivity; +set use_stat_tables=@save_use_stat_tables; +# +# Start of 10.2 tests +# +# +# MDEV-10134 Add full support for DEFAULT +# +# +# End of 10.2 tests +# +set histogram_size=@save_histogram_size, histogram_type=@save_hist_type; +# +# Start of 10.4 tests +# +# +# Test analyze_sample_percentage system variable. +# +set @save_use_stat_tables=@@use_stat_tables; +set @save_analyze_sample_percentage=@@analyze_sample_percentage; +set session rand_seed1=42; +set session rand_seed2=62; +set use_stat_tables=PREFERABLY; +set histogram_size=10; +CREATE TABLE t1 (id int); +INSERT INTO t1 (id) VALUES (1), (1), (1), (1), (1), (1), (1); +INSERT INTO t1 (id) SELECT id FROM t1; +INSERT INTO t1 SELECT id+1 FROM t1; +INSERT INTO t1 SELECT id+2 FROM t1; +INSERT INTO t1 SELECT id+4 FROM t1; +INSERT INTO t1 SELECT id+8 FROM t1; +INSERT INTO t1 SELECT id+16 FROM t1; +INSERT INTO t1 SELECT id+32 FROM t1; +INSERT INTO t1 SELECT id+64 FROM t1; +INSERT INTO t1 SELECT id+128 FROM t1; +INSERT INTO t1 SELECT id+256 FROM t1; +INSERT INTO t1 SELECT id+512 FROM t1; +INSERT INTO t1 SELECT id+1024 FROM t1; +INSERT INTO t1 SELECT id+2048 FROM t1; +INSERT INTO t1 SELECT id+4096 FROM t1; +INSERT INTO t1 SELECT id+9192 FROM t1; +# +# This query will should show a full table scan analysis. +# +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, +DECODE_HISTOGRAM(hist_type, histogram) +from mysql.column_stats; +table_name column_name min_value max_value nulls_ratio avg_length avg_frequency DECODE_HISTOGRAM(hist_type, histogram) +t1 id 1 17384 0.0000 4.0000 14.0000 { + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "1639", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "3277", + "size": 0.100001744, + "ndv": 1640 + }, + { + "start": "4916", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "6554", + "size": 0.100001744, + "ndv": 1640 + }, + { + "start": "9193", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "10831", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "12470", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "14108", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "15746", + "end": "17384", + "size": 0.099984305, + "ndv": 1639 + } + ] +} +set analyze_sample_percentage=0.1; +# +# This query will show an innacurate avg_frequency value. +# +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, +DECODE_HISTOGRAM(hist_type, histogram) +from mysql.column_stats; +table_name column_name min_value max_value nulls_ratio avg_length avg_frequency DECODE_HISTOGRAM(hist_type, histogram) +t1 id 111 17026 0.0000 4.0000 10.4739 { + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "111", + "size": 0.103773585, + "ndv": 21 + }, + { + "start": "1074", + "size": 0.103773585, + "ndv": 22 + }, + { + "start": "2504", + "size": 0.103773585, + "ndv": 22 + }, + { + "start": "4395", + "size": 0.103773585, + "ndv": 22 + }, + { + "start": "6165", + "size": 0.103773585, + "ndv": 22 + }, + { + "start": "8082", + "size": 0.103773585, + "ndv": 22 + }, + { + "start": "10671", + "size": 0.103773585, + "ndv": 22 + }, + { + "start": "12738", + "size": 0.103773585, + "ndv": 22 + }, + { + "start": "14487", + "size": 0.103773585, + "ndv": 22 + }, + { + "start": "15785", + "end": "17026", + "size": 0.066037736, + "ndv": 14 + } + ] +} +# +# This query will show a better avg_frequency value. +# +set analyze_sample_percentage=25; +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, +DECODE_HISTOGRAM(hist_type, histogram) +from mysql.column_stats; +table_name column_name min_value max_value nulls_ratio avg_length avg_frequency DECODE_HISTOGRAM(hist_type, histogram) +t1 id 1 17384 0.0000 4.0000 14.0401 { + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.100015657, + "ndv": 1591 + }, + { + "start": "1624", + "size": 0.100015657, + "ndv": 1599 + }, + { + "start": "3252", + "size": 0.100015657, + "ndv": 1587 + }, + { + "start": "4868", + "size": 0.100015657, + "ndv": 1594 + }, + { + "start": "6483", + "size": 0.100015657, + "ndv": 1632 + }, + { + "start": "8153", + "size": 0.100015657, + "ndv": 1607 + }, + { + "start": "10791", + "size": 0.100015657, + "ndv": 1619 + }, + { + "start": "12435", + "size": 0.100015657, + "ndv": 1627 + }, + { + "start": "14080", + "size": 0.100015657, + "ndv": 1613 + }, + { + "start": "15727", + "end": "17384", + "size": 0.099859084, + "ndv": 1622 + } + ] +} +set analyze_sample_percentage=0; +# +# Test self adjusting sampling level. +# +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, +DECODE_HISTOGRAM(hist_type, histogram) +from mysql.column_stats; +table_name column_name min_value max_value nulls_ratio avg_length avg_frequency DECODE_HISTOGRAM(hist_type, histogram) +t1 id 1 17384 0.0000 4.0000 13.9812 { + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.100007372, + "ndv": 1651 + }, + { + "start": "1651", + "size": 0.100007372, + "ndv": 1656 + }, + { + "start": "3306", + "size": 0.100007372, + "ndv": 1643 + }, + { + "start": "4949", + "size": 0.100007372, + "ndv": 1648 + }, + { + "start": "6597", + "size": 0.100007372, + "ndv": 1644 + }, + { + "start": "9240", + "size": 0.100007372, + "ndv": 1624 + }, + { + "start": "10864", + "size": 0.100007372, + "ndv": 1633 + }, + { + "start": "12496", + "size": 0.100007372, + "ndv": 1619 + }, + { + "start": "14114", + "size": 0.100007372, + "ndv": 1645 + }, + { + "start": "15758", + "end": "17384", + "size": 0.099933656, + "ndv": 1627 + } + ] +} +# +# Test record estimation is working properly. +# +select count(*) from t1; +count(*) +229376 +explain select * from t1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 229060 +set analyze_sample_percentage=100; +ANALYZE TABLE t1; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status Table is already up to date +select table_name, column_name, min_value, max_value, nulls_ratio, avg_length, avg_frequency, +DECODE_HISTOGRAM(hist_type, histogram) +from mysql.column_stats; +table_name column_name min_value max_value nulls_ratio avg_length avg_frequency DECODE_HISTOGRAM(hist_type, histogram) +t1 id 1 17384 0.0000 4.0000 14.0000 { + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "1639", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "3277", + "size": 0.100001744, + "ndv": 1640 + }, + { + "start": "4916", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "6554", + "size": 0.100001744, + "ndv": 1640 + }, + { + "start": "9193", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "10831", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "12470", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "14108", + "size": 0.100001744, + "ndv": 1639 + }, + { + "start": "15746", + "end": "17384", + "size": 0.099984305, + "ndv": 1639 + } + ] +} +explain select * from t1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 229376 +drop table t0; +drop table t1; +set analyze_sample_percentage=@save_analyze_sample_percentage; +set histogram_size=@save_histogram_size; +set use_stat_tables=@save_use_stat_tables; +set @@global.histogram_size=@save_histogram_size; +drop table if exists t1; +set @save_histogram_type=@@histogram_type; +set @save_histogram_size=@@histogram_size; +call mtr.add_suppression("Failed to parse histogram for table .*"); +create table ten(a int primary key); +insert into ten values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); +set histogram_size=100; +set histogram_type='double_prec_hb'; +create table t1_bin (a varchar(255)); +insert into t1_bin select concat('a-', a) from ten; +analyze table t1_bin persistent for all; +Table Op Msg_type Msg_text +test.t1_bin analyze status Engine-independent statistics collected +test.t1_bin analyze status OK +select hex(histogram) from mysql.column_stats where table_name='t1_bin'; +hex(histogram) +00000000000000000000711C711C711C711C711CE338E338E338E338E33855555555555555555555C671C671C671C671C671388E388E388E388E388EAAAAAAAAAAAAAAAAAAAA1BC71BC71BC71BC71BC78DE38DE38DE38DE38DE3FFFFFFFFFFFFFFFFFFFF +explain extended select * from t1_bin where a between 'a-3a' and 'zzzzzzzzz'; +id select_type table type possible_keys key key_len ref rows filtered Extra +1 SIMPLE t1_bin ALL NULL NULL NULL NULL 10 58.82 Using where +Warnings: +Note 1003 select `test`.`t1_bin`.`a` AS `a` from `test`.`t1_bin` where `test`.`t1_bin`.`a` between 'a-3a' and 'zzzzzzzzz' +analyze select * from t1_bin where a between 'a-3a' and 'zzzzzzzzz'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1_bin ALL NULL NULL NULL NULL 10 10.00 58.82 60.00 Using where +set histogram_type=json_hb; +create table t1_json (a varchar(255)); +insert into t1_json select concat('a-', a) from ten; +analyze table t1_json persistent for all; +Table Op Msg_type Msg_text +test.t1_json analyze status Engine-independent statistics collected +test.t1_json analyze status OK +select * from mysql.column_stats where table_name='t1_json'; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1_json a a-0 a-9 0.0000 3.0000 1.0000 10 JSON_HB { + "target_histogram_size": 100, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "a-0", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-1", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-2", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-3", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-4", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-5", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-6", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-7", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-8", + "size": 0.1, + "ndv": 1 + }, + { + "start": "a-9", + "end": "a-9", + "size": 0.1, + "ndv": 1 + } + ] +} +explain extended select * from t1_json where a between 'a-3a' and 'zzzzzzzzz'; +id select_type table type possible_keys key key_len ref rows filtered Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 60.00 Using where +Warnings: +Note 1003 select `test`.`t1_json`.`a` AS `a` from `test`.`t1_json` where `test`.`t1_json`.`a` between 'a-3a' and 'zzzzzzzzz' +analyze select * from t1_json where a between 'a-3a' and 'zzzzzzzzz'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 10.00 60.00 60.00 Using where +explain extended select * from t1_json where a < 'b-1a'; +id select_type table type possible_keys key key_len ref rows filtered Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 100.00 Using where +Warnings: +Note 1003 select `test`.`t1_json`.`a` AS `a` from `test`.`t1_json` where `test`.`t1_json`.`a` < 'b-1a' +analyze select * from t1_json where a > 'zzzzzzzzz'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 10.00 0.00 0.00 Using where +drop table ten; +UPDATE mysql.column_stats +SET histogram='["not-what-you-expect"]' WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +Warnings: +Warning 4186 Failed to parse histogram for table test.t1_json: Root JSON element must be a JSON object at offset 1. +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":"not-histogram"}' WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +Warnings: +Warning 4186 Failed to parse histogram for table test.t1_json: histogram_hb must contain an array at offset 32. +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":["not-a-bucket"]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +Warnings: +Warning 4186 Failed to parse histogram for table test.t1_json: Expected an object in the buckets array at offset 32. +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"no-expected-members":1}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +Warnings: +Warning 4186 Failed to parse histogram for table test.t1_json: "start" element not present at offset 42. +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"start":{}}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +Warnings: +Warning 4186 Failed to parse histogram for table test.t1_json: String or number expected at offset 27. +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"start":"aaa", "size":"not-an-integer"}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +Warnings: +Warning 4186 Failed to parse histogram for table test.t1_json: "ndv" element not present at offset 57. +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"start":"aaa", "size":0.25}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +Warnings: +Warning 4186 Failed to parse histogram for table test.t1_json: "ndv" element not present at offset 45. +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"start":"aaa", "size":0.25, "ndv":1}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; +id select_type table type possible_keys key key_len ref rows Extra +1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 +Warnings: +Warning 4186 Failed to parse histogram for table test.t1_json: Histogram must have at least one bucket at offset 19. +create table t2 ( +city varchar(100) +); +set histogram_size=50; +insert into t2 select 'Moscow' from seq_1_to_99; +insert into t2 select 'Helsinki' from seq_1_to_2; +set histogram_type=json_hb; +analyze table t2 persistent for all; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +explain extended select * from t2 where city = 'Moscow'; +id select_type table type possible_keys key key_len ref rows filtered Extra +1 SIMPLE t2 ALL NULL NULL NULL NULL 101 98.02 Using where +Warnings: +Note 1003 select `test`.`t2`.`city` AS `city` from `test`.`t2` where `test`.`t2`.`city` = 'Moscow' +analyze select * from t2 where city = 'Moscow'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t2 ALL NULL NULL NULL NULL 101 101.00 98.02 98.02 Using where +explain extended select * from t2 where city = 'Helsinki'; +id select_type table type possible_keys key key_len ref rows filtered Extra +1 SIMPLE t2 ALL NULL NULL NULL NULL 101 1.98 Using where +Warnings: +Note 1003 select `test`.`t2`.`city` AS `city` from `test`.`t2` where `test`.`t2`.`city` = 'Helsinki' +analyze select * from t2 where city = 'helsinki'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t2 ALL NULL NULL NULL NULL 101 101.00 1.98 1.98 Using where +explain extended select * from t2 where city < 'Lagos'; +id select_type table type possible_keys key key_len ref rows filtered Extra +1 SIMPLE t2 ALL NULL NULL NULL NULL 101 1.98 Using where +Warnings: +Note 1003 select `test`.`t2`.`city` AS `city` from `test`.`t2` where `test`.`t2`.`city` < 'Lagos' +drop table t1_bin; +drop table t1_json; +drop table t2; +DELETE FROM mysql.column_stats; +create schema world; +use world; +set histogram_type='JSON_HB'; +set histogram_size=50; +ANALYZE TABLE Country, City, CountryLanguage persistent for all; +SELECT column_name, min_value, max_value, hist_size, hist_type, histogram FROM mysql.column_stats; +column_name min_value max_value hist_size hist_type histogram +Code ABW ZWE 48 JSON_HB { + "target_histogram_size": 50, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "ABW", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "AND", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "ASM", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "AUT", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "BFA", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "BIH", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "BRA", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "BWA", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "CHL", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "COG", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "CRI", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "CZE", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "DOM", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "ESH", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "FJI", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "GAB", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "GIN", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "GRC", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "GUM", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "HRV", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "IOT", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "ISR", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "KAZ", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "KNA", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "LBR", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "LSO", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "MAR", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "MEX", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "MMR", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "MSR", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "MYT", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "NGA", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "NPL", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "PAN", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "PNG", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "PRY", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "ROM", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "SEN", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "SLB", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "SPM", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "SWE", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "TCD", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "TKM", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "TUR", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "UKR", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "VAT", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "VNM", + "size": 0.020920502, + "ndv": 5 + }, + { + "start": "YUG", + "end": "ZWE", + "size": 0.016736402, + "ndv": 4 + } + ] +} +Country ABW ZWE 39 JSON_HB { + "target_histogram_size": 50, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "ABW", + "size": 0.020102966, + "ndv": 11 + }, + { + "start": "ATG", + "size": 0.020102966, + "ndv": 14 + }, + { + "start": "BLR", + "size": 0.006619269, + "ndv": 4 + }, + { + "start": "BRA", + "size": 0.061289532, + "ndv": 1 + }, + { + "start": "BRB", + "size": 0.020102966, + "ndv": 9 + }, + { + "start": "CHL", + "size": 0.002206423, + "ndv": 1 + }, + { + "start": "CHN", + "size": 0.0889924, + "ndv": 1 + }, + { + "start": "CIV", + "size": 0.020102966, + "ndv": 10 + }, + { + "start": "CUB", + "size": 0.020102966, + "ndv": 6 + }, + { + "start": "DEU", + "size": 0.020102966, + "ndv": 8 + }, + { + "start": "EGY", + "size": 0.020102966, + "ndv": 4 + }, + { + "start": "ESP", + "size": 0.020102966, + "ndv": 11 + }, + { + "start": "GBR", + "size": 0.020102966, + "ndv": 3 + }, + { + "start": "GIB", + "size": 0.020102966, + "ndv": 19 + }, + { + "start": "IDN", + "size": 0.012503064, + "ndv": 1 + }, + { + "start": "IND", + "size": 0.083598921, + "ndv": 1 + }, + { + "start": "IRL", + "size": 0.020102966, + "ndv": 3 + }, + { + "start": "IRQ", + "size": 0.020102966, + "ndv": 6 + }, + { + "start": "JOR", + "size": 2.451581e-4, + "ndv": 1 + }, + { + "start": "JPN", + "size": 0.060799215, + "ndv": 1 + }, + { + "start": "KAZ", + "size": 0.020102966, + "ndv": 7 + }, + { + "start": "KOR", + "size": 0.020102966, + "ndv": 16 + }, + { + "start": "MDA", + "size": 0.002451581, + "ndv": 3 + }, + { + "start": "MEX", + "size": 0.042412356, + "ndv": 1 + }, + { + "start": "MHL", + "size": 0.020102966, + "ndv": 20 + }, + { + "start": "NGA", + "size": 0.020102966, + "ndv": 4 + }, + { + "start": "NLD", + "size": 0.020102966, + "ndv": 7 + }, + { + "start": "PAK", + "size": 0.007354744, 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"size": 0.020325203, + "ndv": 5 + }, + { + "start": "MDA", + "size": 0.020325203, + "ndv": 7 + }, + { + "start": "MLI", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "MNP", + "size": 0.020325203, + "ndv": 3 + }, + { + "start": "MRT", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "MYS", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "NFK", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "NLD", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "OMN", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "PHL", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "PRI", + "size": 0.020325203, + "ndv": 8 + }, + { + "start": "REU", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "RWA", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "SGP", + "size": 0.020325203, + "ndv": 8 + }, + { + "start": "SPM", + "size": 0.020325203, + "ndv": 7 + }, + { + "start": "SWZ", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "TGO", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "TON", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "TZA", + "size": 0.020325203, + "ndv": 2 + }, + { + "start": "UGA", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "USA", + "size": 0.020325203, + "ndv": 8 + }, + { + "start": "VNM", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "YUG", + "size": 0.020325203, + "ndv": 3 + }, + { + "start": "ZWE", + "end": "ZWE", + "size": 0.004065041, + "ndv": 1 + } + ] +} +Language Abhyasi [South]Mande 48 JSON_HB { + "target_histogram_size": 50, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "Abhyasi", + "size": 0.020325203, + "ndv": 12 + }, + { + "start": "Ami", + "size": 0.020325203, + "ndv": 3 + }, + { + "start": "Arabic", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "Armenian", + "size": 0.020325203, + "ndv": 11 + }, + { + "start": "Balochi", + "size": 0.020325203, + "ndv": 13 + }, + { + "start": "Belorussian", + "size": 0.020325203, + "ndv": 13 + }, + { + "start": "Bullom-sherbro", + "size": 0.020325203, + "ndv": 15 + }, + { + "start": "Chechen", + "size": 0.020325203, + "ndv": 7 + }, + { + "start": "Chinese", + "size": 0.020325203, + "ndv": 12 + }, + { + "start": "Creole English", + "size": 0.020325203, + "ndv": 2 + }, + { + "start": "Creole French", + "size": 0.020325203, + "ndv": 13 + }, + { + "start": "Dorbet", + "size": 0.012195122, + "ndv": 8 + }, + { + "start": "English", + "size": 0.06097561, + "ndv": 1 + }, + { + "start": "Eskimo Languages", + "size": 0.020325203, + "ndv": 9 + }, + { + "start": "French", + "size": 0.020325203, + "ndv": 2 + }, + { + "start": "Friuli", + "size": 0.020325203, + "ndv": 9 + }, + { + "start": "Ganda", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "German", + "size": 0.020325203, + "ndv": 11 + }, + { + "start": "GuaymÃ", + "size": 0.020325203, + "ndv": 15 + }, + { + "start": "Hehet", + "size": 0.020325203, + "ndv": 7 + }, + { + "start": "Hungarian", + "size": 0.020325203, + "ndv": 10 + }, + { + "start": "Italian", + "size": 0.020325203, + "ndv": 10 + }, + { + "start": "Kanuri", + "size": 0.020325203, + "ndv": 10 + }, + { + "start": "Khoekhoe", + "size": 0.020325203, + "ndv": 11 + }, + { + "start": "Kotokoli", + "size": 0.020325203, + "ndv": 14 + }, + { + "start": "Lithuanian", + "size": 0.020325203, + "ndv": 16 + }, + { + "start": "Macedonian", + "size": 0.020325203, + "ndv": 13 + }, + { + "start": "Malenasian Languages", + "size": 0.020325203, + "ndv": 12 + }, + { + "start": "Maranao", + "size": 0.020325203, + "ndv": 18 + }, + { + "start": "Miao", + "size": 0.020325203, + "ndv": 17 + }, + { + "start": "Muong", + "size": 0.020325203, + "ndv": 15 + }, + { + "start": "Norwegian", + "size": 0.020325203, + "ndv": 18 + }, + { + "start": "Paiwan", + "size": 0.020325203, + "ndv": 13 + }, + { + "start": "Polish", + "size": 0.020325203, + "ndv": 3 + }, + { + "start": "Portuguese", + "size": 0.020325203, + "ndv": 9 + }, + { + "start": "Romanian", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "Russian", + "size": 0.020325203, + "ndv": 10 + }, + { + "start": "Saraiki", + "size": 0.020325203, + "ndv": 10 + }, + { + "start": "Sidamo", + "size": 0.020325203, + "ndv": 12 + }, + { + "start": "Soninke", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "Spanish", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "Sunda", + "size": 0.020325203, + "ndv": 11 + }, + { + "start": "Tamil", + "size": 0.020325203, + "ndv": 11 + }, + { + "start": "Tigre", + "size": 0.020325203, + "ndv": 15 + }, + { + "start": "Turkish", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "Ukrainian", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "Uzbek", + "size": 0.020325203, + "ndv": 13 + }, + { + "start": "Yap", + "end": "[South]Mande", + "size": 0.012195122, + "ndv": 9 + } + ] +} +Percentage 0.0 99.9 47 JSON_HB { + "target_histogram_size": 50, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "0.0", + "size": 0.066056911, + "ndv": 1 + }, + { + "start": "0.1", + "size": 0.020325203, + "ndv": 1 + }, + { + "start": "0.2", + "size": 0.022357724, + "ndv": 1 + }, + { + "start": "0.3", + "size": 0.017276423, + "ndv": 1 + }, + { + "start": "0.4", + "size": 0.025406504, + "ndv": 1 + }, + { + "start": "0.5", + "size": 0.020325203, + "ndv": 1 + }, + { + "start": "0.6", + "size": 0.020325203, + "ndv": 1 + }, + { + "start": "0.7", + "size": 0.020325203, + "ndv": 2 + }, + { + "start": "0.8", + "size": 0.020325203, + "ndv": 3 + }, + { + "start": "1.0", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "1.3", + "size": 0.020325203, + "ndv": 2 + }, + { + "start": "1.4", + "size": 0.020325203, + "ndv": 3 + }, + { + "start": "1.6", + "size": 0.020325203, + "ndv": 3 + }, + { + "start": "1.8", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "2.1", + "size": 0.020325203, + "ndv": 3 + }, + { + "start": "2.3", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "2.6", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "2.9", + "size": 0.020325203, + "ndv": 4 + }, + { + "start": "3.2", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "3.6", + "size": 0.020325203, + "ndv": 5 + }, + { + "start": "4.1", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "4.6", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "5.1", + "size": 0.020325203, + "ndv": 7 + }, + { + "start": "5.7", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "6.2", + "size": 0.020325203, + "ndv": 8 + }, + { + "start": "6.9", + "size": 0.020325203, + "ndv": 7 + }, + { + "start": "7.6", + "size": 0.020325203, + "ndv": 6 + }, + { + "start": "8.2", + "size": 0.020325203, + "ndv": 7 + }, + { + "start": "8.9", + "size": 0.020325203, + "ndv": 9 + }, + { + "start": "9.7", + "size": 0.020325203, + "ndv": 11 + }, + { + "start": "11.0", + "size": 0.020325203, + "ndv": 15 + }, + { + "start": "12.4", + "size": 0.020325203, + "ndv": 14 + }, + { + "start": "14.1", + "size": 0.020325203, + "ndv": 13 + }, + { + "start": "16.5", + "size": 0.020325203, + "ndv": 17 + }, + { + "start": "19.7", + "size": 0.020325203, + "ndv": 14 + }, + { + "start": "23.3", + "size": 0.020325203, + "ndv": 16 + }, + { + "start": "31.7", + "size": 0.020325203, + "ndv": 16 + }, + { + "start": "37.5", + "size": 0.020325203, + "ndv": 19 + }, + { + "start": "47.4", + "size": 0.020325203, + "ndv": 18 + }, + { + "start": "55.1", + "size": 0.020325203, + "ndv": 19 + }, + { + "start": "66.7", + "size": 0.020325203, + "ndv": 18 + }, + { + "start": "78.1", + "size": 0.020325203, + "ndv": 15 + }, + { + "start": "86.2", + "size": 0.020325203, + "ndv": 18 + }, + { + "start": "90.7", + "size": 0.020325203, + "ndv": 15 + }, + { + "start": "95.1", + "size": 0.020325203, + "ndv": 14 + }, + { + "start": "97.6", + "size": 0.020325203, + "ndv": 14 + }, + { + "start": "99.9", + "end": "99.9", + "size": 0.015243902, + "ndv": 1 + } + ] +} +analyze select * from Country use index () where Code between 'BBC' and 'GGG'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE Country ALL NULL NULL NULL NULL 239 239.00 24.58 25.52 Using where +analyze select * from Country use index () where Code < 'BBC'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE Country ALL NULL NULL NULL NULL 239 239.00 8.37 7.11 Using where +set histogram_type=@save_histogram_type; +set histogram_size=@save_histogram_size; +DROP SCHEMA world; +use test; +create table t10 ( +a varchar(10) +); +# +# Histograms are not collected for empty tables: +# +analyze table t10 persistent for all; +Table Op Msg_type Msg_text +test.t10 analyze status Engine-independent statistics collected +test.t10 analyze status Table is already up to date +select histogram +from mysql.column_stats where table_name='t10' and db_name=database(); +histogram +NULL +# +# Try with n_buckets > n_rows +# +insert into t10 values ('Berlin'),('Paris'),('Rome'); +set histogram_size=10, histogram_type='json_hb'; +analyze table t10 persistent for all; +Table Op Msg_type Msg_text +test.t10 analyze status Engine-independent statistics collected +test.t10 analyze status OK +select histogram +from mysql.column_stats where table_name='t10' and db_name=database(); +histogram +{ + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "Berlin", + "size": 0.333333333, + "ndv": 1 + }, + { + "start": "Paris", + "size": 0.333333333, + "ndv": 1 + }, + { + "start": "Rome", + "end": "Rome", + "size": 0.333333333, + "ndv": 1 + } + ] +} +drop table t10; +# +# MDEV-26590: Stack smashing/buffer overflow in Histogram_json_hb::parse upon UPDATE on table with long VARCHAR +# +CREATE TABLE t1 (b INT, a VARCHAR(3176)); +INSERT INTO t1 VALUES (1,'foo'),(2,'bar'); +SET histogram_type= JSON_HB; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +SELECT * FROM t1; +b a +1 foo +2 bar +drop table t1; +# +# MDEV-26589: Assertion failure upon DECODE_HISTOGRAM with NULLs in first column +# +CREATE TABLE t1 (a INT, b INT); +INSERT INTO t1 VALUES (NULL,1), (NULL,2); +SET histogram_type = JSON_HB; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +SELECT DECODE_HISTOGRAM(hist_type, histogram) from mysql.column_stats; +DECODE_HISTOGRAM(hist_type, histogram) +NULL +{ + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.5, + "ndv": 1 + }, + { + "start": "2", + "end": "2", + "size": 0.5, + "ndv": 1 + } + ] +} +drop table t1; +# +# MDEV-26711: Values in JSON histograms are not properly quoted +# +create table t1 (a varchar(32)); +insert into t1 values ('this is "quoted" text'); +set histogram_type= JSON_HB; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select * from t1 where a = 'foo'; +a +drop table t1; +# +# MDEV-26724 Endless loop in json_escape_to_string upon ... empty string +# +CREATE TABLE t1 (f VARCHAR(8)); +INSERT INTO t1 VALUES ('a'),(''),('b'); +SET histogram_type=JSON_HB; +ANALYZE TABLE t PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +test.t analyze Error Table 'test.t' doesn't exist +test.t analyze status Operation failed +select * from t1; +f +a + +b +drop table t1; +create table t1 (a char(1)) character set latin1; +insert into t1 values (0xD1); +select hex(a) from t1; +hex(a) +D1 +set histogram_type='json_hb'; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select decode_histogram(hist_type, histogram) +from mysql.column_stats +where db_name=database() and table_name='t1'; +decode_histogram(hist_type, histogram) +{ + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "Ñ", + "end": "Ñ", + "size": 1, + "ndv": 1 + } + ] +} +select * from t1; +a +Ñ +drop table t1; +# +# Another testcase: use a character that cannot be represented in utf8: +# Also, now it's testcase for: +# MDEV-26764: JSON_HB Histograms: handle BINARY and unassigned characters +# +create table t1 ( a varchar(100) character set cp1251); +insert into t1 values ( _cp1251 x'88'),( _cp1251 x'88'), ( _cp1251 x'88'); +insert into t1 values ( _cp1251 x'98'),( _cp1251 x'98'); +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select hist_type, histogram +from mysql.column_stats +where db_name=database() and table_name='t1'; +hist_type histogram +JSON_HB { + "target_histogram_size": 10, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "€", + "size": 0.6, + "ndv": 1 + }, + { + "start_hex": "98", + "end_hex": "98", + "size": 0.4, + "ndv": 1 + } + ] +} +analyze select * from t1 where a=_cp1251 x'88'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 5 5.00 60.00 60.00 Using where +drop table t1; +# +# ASAN use-after-poison my_strnxfrm_simple_internal / Histogram_json_hb::range_selectivity ... +# (Just the testcase) +# +CREATE TABLE t1 (f CHAR(8)); +INSERT INTO t1 VALUES ('foo'),('bar'); +SET histogram_type = JSON_HB; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +SELECT * FROM t1 WHERE f > 'qux'; +f +DROP TABLE t1; +# +# MDEV-26737: Outdated VARIABLE_COMMENT for HISTOGRAM_TYPE in I_S.SYSTEM_VARIABLES +# +select variable_comment from information_schema.system_variables where VARIABLE_NAME='HISTOGRAM_TYPE'; +variable_comment +Specifies type of the histograms created by ANALYZE. Possible values are: SINGLE_PREC_HB - single precision height-balanced, DOUBLE_PREC_HB - double precision height-balanced, JSON_HB - height-balanced, stored as JSON. +# +# MDEV-26709: JSON histogram may contain bucketS than histogram_size allows +# +create table t1 (a int); +insert into t1 values (1),(3),(5),(7); +insert into t1 select 2 from seq_1_to_25; +insert into t1 select 4 from seq_1_to_25; +insert into t1 select 6 from seq_1_to_25; +set histogram_size=4, histogram_type=JSON_HB; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select histogram from mysql.column_stats where table_name = 't1'; +histogram +{ + "target_histogram_size": 4, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "1", + "size": 0.253164557, + "ndv": 2 + }, + { + "start": "2", + "size": 0.253164557, + "ndv": 3 + }, + { + "start": "4", + "size": 0.253164557, + "ndv": 3 + }, + { + "start": "6", + "end": "7", + "size": 0.240506329, + "ndv": 2 + } + ] +} +drop table t1; +# +# MDEV-26750: Estimation for filtered rows is far off with JSON_HB histogram +# +create table t1 (c char(8)); +insert into t1 values ('1x'); +insert into t1 values ('1x'); +insert into t1 values ('1xx'); +insert into t1 values ('0xx'); +insert into t1 select * from t1; +insert into t1 select * from t1; +set histogram_type= JSON_HB; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +analyze +select c from t1 where c > '1'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 16 16.00 75.00 75.00 Using where +drop table t1; +# +# MDEV-26849: JSON Histograms: point selectivity estimates are off for non-existent values +# +create table t0(a int); +insert into t0 (a) values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); +create table t1(a int); +insert into t1 select 100*A.a from t0 A, t0 B, t0 C; +select a, count(*) from t1 group by a order by a; +a count(*) +0 100 +100 100 +200 100 +300 100 +400 100 +500 100 +600 100 +700 100 +800 100 +900 100 +set histogram_type=json_hb, histogram_size=default; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select * from mysql.column_stats where table_name='t1'; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +test t1 a 0 900 0.0000 4.0000 100.0000 10 JSON_HB { + "target_histogram_size": 254, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start": "0", + "size": 0.1, + "ndv": 1 + }, + { + "start": "100", + "size": 0.1, + "ndv": 1 + }, + { + "start": "200", + "size": 0.1, + "ndv": 1 + }, + { + "start": "300", + "size": 0.1, + "ndv": 1 + }, + { + "start": "400", + "size": 0.1, + "ndv": 1 + }, + { + "start": "500", + "size": 0.1, + "ndv": 1 + }, + { + "start": "600", + "size": 0.1, + "ndv": 1 + }, + { + "start": "700", + "size": 0.1, + "ndv": 1 + }, + { + "start": "800", + "size": 0.1, + "ndv": 1 + }, + { + "start": "900", + "end": "900", + "size": 0.1, + "ndv": 1 + } + ] +} +analyze select * from t1 where a=0; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1000.00 10.00 10.00 Using where +analyze select * from t1 where a=50; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1000.00 0.10 0.00 Using where +analyze select * from t1 where a=70; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1000.00 0.10 0.00 Using where +analyze select * from t1 where a=100; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1000.00 10.00 10.00 Using where +analyze select * from t1 where a=150; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1000.00 0.10 0.00 Using where +analyze select * from t1 where a=200; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1000.00 10.00 10.00 Using where +drop table t0,t1; +# +# MDEV-26892: JSON histograms become invalid with a specific (corrupt) value in t +# +create table t1 (a varchar(32)) DEFAULT CHARSET=cp1257; +set histogram_type= JSON_HB, histogram_size= 1; +insert into t1 values ('foo'),(unhex('9C')); +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select * from t1; +a +foo +? +drop table t1; +# +# MDEV-26911: Unexpected ER_DUP_KEY, ASAN errors, double free detected in tcache with JSON_HB histogram +# +SET histogram_type= JSON_HB; +CREATE TABLE t1 (pk INT AUTO_INCREMENT, f VARCHAR(8), PRIMARY KEY (pk)); +INSERT INTO t1 (f) VALUES ('foo'); +ANALYZE TABLE t1 PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +ALTER TABLE t1 MODIFY f TEXT, ORDER BY pk; +INSERT INTO t1 (f) VALUES ('bar'); +DROP TABLE t1; +# +# MDEV-26886: Estimation for filtered rows less precise with JSON histogram +# +create table t1 (a tinyint) as select if(seq%3,seq,0) as a from seq_1_to_100; +select count(*) from t1 where a <= 0; +count(*) +33 +set histogram_type = JSON_HB, histogram_size=default; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +analyze select * from t1 where a <= 0; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 100.00 33.00 33.00 Using where +analyze select * from t1 where a < 0; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 100.00 1.00 0.00 Using where +analyze select * from t1 where a > 0; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 100.00 67.00 67.00 Using where +analyze select * from t1 where a >= 0; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 100.00 100.00 100.00 Using where +drop table t1; +# +# More test coverage +# +create table t0(a int); +insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); +create table t1(a int); +insert into t1 select A.a + B.a* 10 + C.a * 100 from t0 A, t0 B, t0 C; +create table t2 (a int); +insert into t2 select 1 from t1; +insert into t2 select (a+1)*10 from t0; +insert into t2 values (0); +analyze table t2 persistent for all; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +analyze select * from t2 where a < 1; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t2 ALL NULL NULL NULL NULL 1011 1011.00 0.10 0.10 Using where +analyze select * from t2 where a =100; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t2 ALL NULL NULL NULL NULL 1011 1011.00 0.10 0.10 Using where +drop table t0,t1,t2; +# +# MDEV-27230: Estimation for filtered rows less precise ... +# +create table t1 (a char(1)); +insert into t1 select chr(seq%26+97) from seq_1_to_50; +insert into t1 select ':' from t1; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +analyze select COUNT(*) FROM t1 WHERE a <> 'a'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 100.00 99.00 99.00 Using where +analyze select COUNT(*) FROM t1 WHERE a < 'a'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 100 100.00 50.00 50.00 Using where +drop table t1; +# +# MDEV-27229: Estimation for filtered rows less precise ... #5 +# +create table t1 (id int, a varchar(8)); +insert into t1 select seq, 'bar' from seq_1_to_100; +insert into t1 select id, 'qux' from t1; +set histogram_type=JSON_HB; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +analyze select COUNT(*) FROM t1 WHERE a > 'foo'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 50.00 50.00 Using where +analyze select COUNT(*) FROM t1 WHERE a > 'aaa'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 100.00 100.00 Using where +analyze select COUNT(*) FROM t1 WHERE a >='aaa'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 100.00 100.00 Using where +analyze select COUNT(*) FROM t1 WHERE a > 'bar'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 50.00 50.00 Using where +analyze select COUNT(*) FROM t1 WHERE a >='bar'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 100.00 100.00 Using where +analyze select COUNT(*) FROM t1 WHERE a < 'aaa'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 0.50 0.00 Using where +analyze select COUNT(*) FROM t1 WHERE a <='aaa'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 0.50 0.00 Using where +analyze select COUNT(*) FROM t1 WHERE a < 'bar'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 0.50 0.00 Using where +analyze select COUNT(*) FROM t1 WHERE a <='bar'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 200 200.00 50.00 50.00 Using where +drop table t1; +# +# MDEV-27243: Estimation for filtered rows less precise ... #7 +# (Testcase only) +CREATE TABLE t1 (f TIME); +INSERT INTO t1 SELECT IF(seq%2,'00:00:00',SEC_TO_TIME(seq+7200)) FROM seq_1_to_1000; +SET histogram_type= JSON_HB; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +ANALYZE SELECT * FROM t1 WHERE f > '00:01:00'; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 1000 1000.00 50.00 50.00 Using where +drop table t1; +# +# MDEV-26901: Estimation for filtered rows less precise ... #4 +# +create table t1 (f int); +insert into t1 values +(7),(5),(0),(5),(112),(9),(9),(7),(5),(9), +(1),(7),(0),(6),(6),(2),(1),(6),(169),(7); +select f from t1 where f in (77, 1, 144, 73, 14, 12); +f +1 +1 +set histogram_type= JSON_HB; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +analyze select f from t1 where f in (77, 1, 144, 73, 14, 12); +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t1 ALL NULL NULL NULL NULL 20 20.00 10.00 10.00 Using where +drop table t1; +# +# Test that histograms over BIT fields use hex +# +create table t1 (a BIT(64)); +insert into t1 values +(x'01'),(x'10'),(x'BE562B1A99001918'); +set histogram_type= JSON_HB; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +select histogram +from mysql.column_stats where table_name='t1' and db_name=database(); +histogram +{ + "target_histogram_size": 254, + "collected_at": "REPLACED", + "collected_by": "REPLACED", + "histogram_hb": [ + { + "start_hex": "0000000000000001", + "size": 0.333333333, + "ndv": 1 + }, + { + "start_hex": "0000000000000010", + "size": 0.333333333, + "ndv": 1 + }, + { + "start_hex": "BE562B1A99001918", + "end_hex": "BE562B1A99001918", + "size": 0.333333333, + "ndv": 1 + } + ] +} +drop table t1; diff --git a/mysql-test/main/statistics_json.test b/mysql-test/main/statistics_json.test new file mode 100644 index 00000000000..10583620cda --- /dev/null +++ b/mysql-test/main/statistics_json.test @@ -0,0 +1,462 @@ +--echo # +--echo # Test that we can store JSON arrays in histogram field mysql.column_stats when histogram_type=JSON +--echo # + +let $histogram_type_override='JSON_HB'; +--source statistics.test + +--source include/have_innodb.inc +--source include/have_stat_tables.inc +--source include/have_sequence.inc +--disable_warnings +drop table if exists t1; +--enable_warnings + +set @save_histogram_type=@@histogram_type; +set @save_histogram_size=@@histogram_size; + +call mtr.add_suppression("Failed to parse histogram for table .*"); +create table ten(a int primary key); +insert into ten values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); + +set histogram_size=100; +set histogram_type='double_prec_hb'; +create table t1_bin (a varchar(255)); +insert into t1_bin select concat('a-', a) from ten; +analyze table t1_bin persistent for all; +select hex(histogram) from mysql.column_stats where table_name='t1_bin'; +explain extended select * from t1_bin where a between 'a-3a' and 'zzzzzzzzz'; +analyze select * from t1_bin where a between 'a-3a' and 'zzzzzzzzz'; + +set histogram_type=json_hb; +create table t1_json (a varchar(255)); +insert into t1_json select concat('a-', a) from ten; +analyze table t1_json persistent for all; +--source include/json_hb_histogram.inc +select * from mysql.column_stats where table_name='t1_json'; +explain extended select * from t1_json where a between 'a-3a' and 'zzzzzzzzz'; +analyze select * from t1_json where a between 'a-3a' and 'zzzzzzzzz'; +explain extended select * from t1_json where a < 'b-1a'; +analyze select * from t1_json where a > 'zzzzzzzzz'; + +drop table ten; + +# +# Test different valid JSON strings that are invalid histograms. +# +UPDATE mysql.column_stats +SET histogram='["not-what-you-expect"]' WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":"not-histogram"}' WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":["not-a-bucket"]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"no-expected-members":1}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"start":{}}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"start":"aaa", "size":"not-an-integer"}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"start":"aaa", "size":0.25}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[{"start":"aaa", "size":0.25, "ndv":1}]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +UPDATE mysql.column_stats +SET histogram='{"histogram_hb":[]}' +WHERE table_name='t1_json'; +FLUSH TABLES; +explain select * from t1_json limit 1; + +--source include/have_sequence.inc +create table t2 ( + city varchar(100) +); +set histogram_size=50; +insert into t2 select 'Moscow' from seq_1_to_99; +insert into t2 select 'Helsinki' from seq_1_to_2; +set histogram_type=json_hb; +analyze table t2 persistent for all; +explain extended select * from t2 where city = 'Moscow'; +analyze select * from t2 where city = 'Moscow'; +explain extended select * from t2 where city = 'Helsinki'; +analyze select * from t2 where city = 'helsinki'; +explain extended select * from t2 where city < 'Lagos'; + +drop table t1_bin; +drop table t1_json; +drop table t2; + +DELETE FROM mysql.column_stats; + +create schema world; +use world; +--disable_query_log +--disable_result_log +--disable_warnings +--source include/world_schema_utf8.inc +--source include/world.inc +--enable_warnings +--enable_result_log +--enable_query_log + +set histogram_type='JSON_HB'; +set histogram_size=50; +--disable_result_log +ANALYZE TABLE Country, City, CountryLanguage persistent for all; +--enable_result_log + +--source include/histogram_replaces.inc +SELECT column_name, min_value, max_value, hist_size, hist_type, histogram FROM mysql.column_stats; +analyze select * from Country use index () where Code between 'BBC' and 'GGG'; +analyze select * from Country use index () where Code < 'BBC'; + +set histogram_type=@save_histogram_type; +set histogram_size=@save_histogram_size; + +DROP SCHEMA world; +use test; + +create table t10 ( + a varchar(10) +); + +--echo # +--echo # Histograms are not collected for empty tables: +--echo # +analyze table t10 persistent for all; +select histogram +from mysql.column_stats where table_name='t10' and db_name=database(); + +--echo # +--echo # Try with n_buckets > n_rows +--echo # +insert into t10 values ('Berlin'),('Paris'),('Rome'); +set histogram_size=10, histogram_type='json_hb'; +analyze table t10 persistent for all; +--source include/histogram_replaces.inc +select histogram +from mysql.column_stats where table_name='t10' and db_name=database(); +drop table t10; + +--echo # +--echo # MDEV-26590: Stack smashing/buffer overflow in Histogram_json_hb::parse upon UPDATE on table with long VARCHAR +--echo # + +CREATE TABLE t1 (b INT, a VARCHAR(3176)); +INSERT INTO t1 VALUES (1,'foo'),(2,'bar'); +SET histogram_type= JSON_HB; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +SELECT * FROM t1; +drop table t1; + +--echo # +--echo # MDEV-26589: Assertion failure upon DECODE_HISTOGRAM with NULLs in first column +--echo # + +CREATE TABLE t1 (a INT, b INT); +INSERT INTO t1 VALUES (NULL,1), (NULL,2); +SET histogram_type = JSON_HB; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +--source include/histogram_replaces.inc +SELECT DECODE_HISTOGRAM(hist_type, histogram) from mysql.column_stats; +drop table t1; + +--echo # +--echo # MDEV-26711: Values in JSON histograms are not properly quoted +--echo # + +create table t1 (a varchar(32)); +insert into t1 values ('this is "quoted" text'); +set histogram_type= JSON_HB; +analyze table t1 persistent for all; +select * from t1 where a = 'foo'; +drop table t1; + +--echo # +--echo # MDEV-26724 Endless loop in json_escape_to_string upon ... empty string +--echo # +CREATE TABLE t1 (f VARCHAR(8)); +INSERT INTO t1 VALUES ('a'),(''),('b'); +SET histogram_type=JSON_HB; +ANALYZE TABLE t PERSISTENT FOR ALL; +select * from t1; +drop table t1; + +create table t1 (a char(1)) character set latin1; +insert into t1 values (0xD1); +select hex(a) from t1; +set histogram_type='json_hb'; +analyze table t1 persistent for all; + +--source include/histogram_replaces.inc +select decode_histogram(hist_type, histogram) +from mysql.column_stats +where db_name=database() and table_name='t1'; + +select * from t1; +drop table t1; + +--echo # +--echo # Another testcase: use a character that cannot be represented in utf8: +--echo # Also, now it's testcase for: +--echo # MDEV-26764: JSON_HB Histograms: handle BINARY and unassigned characters +--echo # +create table t1 ( a varchar(100) character set cp1251); +insert into t1 values ( _cp1251 x'88'),( _cp1251 x'88'), ( _cp1251 x'88'); +insert into t1 values ( _cp1251 x'98'),( _cp1251 x'98'); +analyze table t1 persistent for all; + +--source include/histogram_replaces.inc +select hist_type, histogram +from mysql.column_stats +where db_name=database() and table_name='t1'; + +analyze select * from t1 where a=_cp1251 x'88'; + +drop table t1; + +--echo # +--echo # ASAN use-after-poison my_strnxfrm_simple_internal / Histogram_json_hb::range_selectivity ... +--echo # (Just the testcase) +--echo # + +CREATE TABLE t1 (f CHAR(8)); +INSERT INTO t1 VALUES ('foo'),('bar'); + +SET histogram_type = JSON_HB; +ANALYZE TABLE t1 PERSISTENT FOR ALL; + +SELECT * FROM t1 WHERE f > 'qux'; +DROP TABLE t1; + +--echo # +--echo # MDEV-26737: Outdated VARIABLE_COMMENT for HISTOGRAM_TYPE in I_S.SYSTEM_VARIABLES +--echo # +select variable_comment from information_schema.system_variables where VARIABLE_NAME='HISTOGRAM_TYPE'; + +--echo # +--echo # MDEV-26709: JSON histogram may contain bucketS than histogram_size allows +--echo # +create table t1 (a int); +insert into t1 values (1),(3),(5),(7); +insert into t1 select 2 from seq_1_to_25; +insert into t1 select 4 from seq_1_to_25; +insert into t1 select 6 from seq_1_to_25; + +set histogram_size=4, histogram_type=JSON_HB; +analyze table t1 persistent for all; + +--source include/json_hb_histogram.inc +select histogram from mysql.column_stats where table_name = 't1'; + +drop table t1; + +--echo # +--echo # MDEV-26750: Estimation for filtered rows is far off with JSON_HB histogram +--echo # +create table t1 (c char(8)); + +insert into t1 values ('1x'); +insert into t1 values ('1x'); +insert into t1 values ('1xx'); +insert into t1 values ('0xx'); +insert into t1 select * from t1; +insert into t1 select * from t1; + +set histogram_type= JSON_HB; +analyze table t1 persistent for all; +analyze +select c from t1 where c > '1'; + +drop table t1; + +--echo # +--echo # MDEV-26849: JSON Histograms: point selectivity estimates are off for non-existent values +--echo # + +create table t0(a int); +insert into t0 (a) values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); +create table t1(a int); +insert into t1 select 100*A.a from t0 A, t0 B, t0 C; +select a, count(*) from t1 group by a order by a; +set histogram_type=json_hb, histogram_size=default; +analyze table t1 persistent for all; +--source include/json_hb_histogram.inc +select * from mysql.column_stats where table_name='t1'; +analyze select * from t1 where a=0; +analyze select * from t1 where a=50; +analyze select * from t1 where a=70; +analyze select * from t1 where a=100; +analyze select * from t1 where a=150; +analyze select * from t1 where a=200; + +drop table t0,t1; + +--echo # +--echo # MDEV-26892: JSON histograms become invalid with a specific (corrupt) value in t +--echo # +create table t1 (a varchar(32)) DEFAULT CHARSET=cp1257; +set histogram_type= JSON_HB, histogram_size= 1; +insert into t1 values ('foo'),(unhex('9C')); +analyze table t1 persistent for all; + +select * from t1; +drop table t1; + +--echo # +--echo # MDEV-26911: Unexpected ER_DUP_KEY, ASAN errors, double free detected in tcache with JSON_HB histogram +--echo # + +SET histogram_type= JSON_HB; + +CREATE TABLE t1 (pk INT AUTO_INCREMENT, f VARCHAR(8), PRIMARY KEY (pk)); +INSERT INTO t1 (f) VALUES ('foo'); +ANALYZE TABLE t1 PERSISTENT FOR ALL; +ALTER TABLE t1 MODIFY f TEXT, ORDER BY pk; +INSERT INTO t1 (f) VALUES ('bar'); +DROP TABLE t1; + +--echo # +--echo # MDEV-26886: Estimation for filtered rows less precise with JSON histogram +--echo # +create table t1 (a tinyint) as select if(seq%3,seq,0) as a from seq_1_to_100; +select count(*) from t1 where a <= 0; + +set histogram_type = JSON_HB, histogram_size=default; +analyze table t1 persistent for all; +analyze select * from t1 where a <= 0; +analyze select * from t1 where a < 0; +analyze select * from t1 where a > 0; +analyze select * from t1 where a >= 0; +drop table t1; + + +--echo # +--echo # More test coverage +--echo # +create table t0(a int); +insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); + +create table t1(a int); +insert into t1 select A.a + B.a* 10 + C.a * 100 from t0 A, t0 B, t0 C; + +create table t2 (a int); +insert into t2 select 1 from t1; +insert into t2 select (a+1)*10 from t0; +insert into t2 values (0); + +analyze table t2 persistent for all; +analyze select * from t2 where a < 1; +analyze select * from t2 where a =100; + +drop table t0,t1,t2; + +--echo # +--echo # MDEV-27230: Estimation for filtered rows less precise ... +--echo # +create table t1 (a char(1)); +insert into t1 select chr(seq%26+97) from seq_1_to_50; +insert into t1 select ':' from t1; +analyze table t1 persistent for all; +analyze select COUNT(*) FROM t1 WHERE a <> 'a'; +analyze select COUNT(*) FROM t1 WHERE a < 'a'; +drop table t1; + +--echo # +--echo # MDEV-27229: Estimation for filtered rows less precise ... #5 +--echo # +create table t1 (id int, a varchar(8)); +insert into t1 select seq, 'bar' from seq_1_to_100; +insert into t1 select id, 'qux' from t1; + +set histogram_type=JSON_HB; +analyze table t1 persistent for all; +analyze select COUNT(*) FROM t1 WHERE a > 'foo'; + +analyze select COUNT(*) FROM t1 WHERE a > 'aaa'; +analyze select COUNT(*) FROM t1 WHERE a >='aaa'; + +analyze select COUNT(*) FROM t1 WHERE a > 'bar'; +analyze select COUNT(*) FROM t1 WHERE a >='bar'; + +# Can enable these after get_avg_frequency issue is resolved: +analyze select COUNT(*) FROM t1 WHERE a < 'aaa'; +analyze select COUNT(*) FROM t1 WHERE a <='aaa'; +analyze select COUNT(*) FROM t1 WHERE a < 'bar'; + +analyze select COUNT(*) FROM t1 WHERE a <='bar'; + +drop table t1; + +--echo # +--echo # MDEV-27243: Estimation for filtered rows less precise ... #7 +--echo # (Testcase only) + +CREATE TABLE t1 (f TIME); +INSERT INTO t1 SELECT IF(seq%2,'00:00:00',SEC_TO_TIME(seq+7200)) FROM seq_1_to_1000; + +SET histogram_type= JSON_HB; +ANALYZE TABLE t1 PERSISTENT FOR ALL; +ANALYZE SELECT * FROM t1 WHERE f > '00:01:00'; +drop table t1; + +--echo # +--echo # MDEV-26901: Estimation for filtered rows less precise ... #4 +--echo # +create table t1 (f int); +insert into t1 values + (7),(5),(0),(5),(112),(9),(9),(7),(5),(9), + (1),(7),(0),(6),(6),(2),(1),(6),(169),(7); + +select f from t1 where f in (77, 1, 144, 73, 14, 12); + +set histogram_type= JSON_HB; +analyze table t1 persistent for all; + +analyze select f from t1 where f in (77, 1, 144, 73, 14, 12); +drop table t1; + + +--echo # +--echo # Test that histograms over BIT fields use hex +--echo # +create table t1 (a BIT(64)); +insert into t1 values + (x'01'),(x'10'),(x'BE562B1A99001918'); +set histogram_type= JSON_HB; +analyze table t1 persistent for all; +--source include/json_hb_histogram.inc +select histogram +from mysql.column_stats where table_name='t1' and db_name=database(); + +drop table t1; + diff --git a/mysql-test/main/statistics_upgrade.result b/mysql-test/main/statistics_upgrade.result new file mode 100644 index 00000000000..6e287115245 --- /dev/null +++ b/mysql-test/main/statistics_upgrade.result @@ -0,0 +1,87 @@ +call mtr.add_suppression("Incorrect definition of table mysql.column_stats:.*"); +set histogram_type=single_prec_hb; +create table t1 (a int); +insert into t1 select seq from seq_1_to_100; +analyze table t1 persistent for all; +Table Op Msg_type Msg_text +test.t1 analyze status Engine-independent statistics collected +test.t1 analyze status OK +set histogram_type=double_prec_hb, histogram_size=20; +create table t2 (a int); +insert into t2 select seq from seq_1_to_100; +analyze table t2 persistent for all; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status OK +CREATE TABLE IF NOT EXISTS t3 ( +db_name varchar(64) NOT NULL, +table_name varchar(64) NOT NULL, +column_name varchar(64) NOT NULL, +min_value varbinary(255) DEFAULT NULL, +max_value varbinary(255) DEFAULT NULL, +nulls_ratio decimal(12,4) DEFAULT NULL, +avg_length decimal(12,4) DEFAULT NULL, +avg_frequency decimal(12,4) DEFAULT NULL, +hist_size tinyint unsigned, +hist_type enum('SINGLE_PREC_HB','DOUBLE_PREC_HB'), +histogram varbinary(255), +PRIMARY KEY (db_name,table_name,column_name) +) engine=Aria transactional=0 CHARACTER SET utf8 COLLATE utf8_bin comment='Statistics on Columns'; +insert into t3 select * from mysql.column_stats; +create table t4 like t3; +insert into t4 select * from t3; +drop table mysql.column_stats; +alter table t3 rename mysql.column_stats; +# Run mysql_upgrade +mysql.innodb_index_stats +Error : Unknown storage engine 'InnoDB' +error : Corrupt +mysql.innodb_table_stats +Error : Unknown storage engine 'InnoDB' +error : Corrupt +mysql.transaction_registry +Error : Unknown storage engine 'InnoDB' +error : Corrupt +mysql.innodb_index_stats +Error : Unknown storage engine 'InnoDB' +error : Corrupt +mysql.innodb_table_stats +Error : Unknown storage engine 'InnoDB' +error : Corrupt +mysql.transaction_registry +Error : Unknown storage engine 'InnoDB' +error : Corrupt +# +# Table definition after upgrade: +# +show create table mysql.column_stats; +Table Create Table +column_stats CREATE TABLE `column_stats` ( + `db_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, + `table_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, + `column_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, + `min_value` varbinary(255) DEFAULT NULL, + `max_value` varbinary(255) DEFAULT NULL, + `nulls_ratio` decimal(12,4) DEFAULT NULL, + `avg_length` decimal(12,4) DEFAULT NULL, + `avg_frequency` decimal(12,4) DEFAULT NULL, + `hist_size` tinyint(3) unsigned DEFAULT NULL, + `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') COLLATE utf8mb3_bin DEFAULT NULL, + `histogram` longblob DEFAULT NULL, + PRIMARY KEY (`db_name`,`table_name`,`column_name`) +) ENGINE=Aria DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_bin PAGE_CHECKSUM=1 TRANSACTIONAL=0 COMMENT='Statistics on Columns' +select +A.db_name, +A.table_name, +A.hist_type = B.hist_type as hist_type_equal, +A.histogram = B.histogram as histogram_equal +from +t4 A +left join +mysql.column_stats B on A.db_name=B.db_name and +A.table_name=B.table_name and +A.column_name=B.column_name; +db_name table_name hist_type_equal histogram_equal +test t1 1 1 +test t2 1 1 +drop table t1,t2,t4; diff --git a/mysql-test/main/statistics_upgrade.test b/mysql-test/main/statistics_upgrade.test new file mode 100644 index 00000000000..705cf65e053 --- /dev/null +++ b/mysql-test/main/statistics_upgrade.test @@ -0,0 +1,67 @@ +-- source include/mysql_upgrade_preparation.inc +--source include/have_sequence.inc + +call mtr.add_suppression("Incorrect definition of table mysql.column_stats:.*"); + +set histogram_type=single_prec_hb; +create table t1 (a int); +insert into t1 select seq from seq_1_to_100; +analyze table t1 persistent for all; + +set histogram_type=double_prec_hb, histogram_size=20; +create table t2 (a int); +insert into t2 select seq from seq_1_to_100; +analyze table t2 persistent for all; + +# Create a table with old definition +CREATE TABLE IF NOT EXISTS t3 ( + db_name varchar(64) NOT NULL, + table_name varchar(64) NOT NULL, + column_name varchar(64) NOT NULL, + min_value varbinary(255) DEFAULT NULL, + max_value varbinary(255) DEFAULT NULL, + nulls_ratio decimal(12,4) DEFAULT NULL, + avg_length decimal(12,4) DEFAULT NULL, + avg_frequency decimal(12,4) DEFAULT NULL, + hist_size tinyint unsigned, + hist_type enum('SINGLE_PREC_HB','DOUBLE_PREC_HB'), + histogram varbinary(255), + PRIMARY KEY (db_name,table_name,column_name) +) engine=Aria transactional=0 CHARACTER SET utf8 COLLATE utf8_bin comment='Statistics on Columns'; + +# Copy the data there +insert into t3 select * from mysql.column_stats; + +create table t4 like t3; +insert into t4 select * from t3; + +# Put the old table in place of mysql.column_stats + +drop table mysql.column_stats; +alter table t3 rename mysql.column_stats; +--echo # Run mysql_upgrade + +--exec $MYSQL_UPGRADE --upgrade-system-tables --force --silent 2>&1 + +let $MYSQLD_DATADIR= `select @@datadir`; +--file_exists $MYSQLD_DATADIR/mysql_upgrade_info +--remove_file $MYSQLD_DATADIR/mysql_upgrade_info + +--echo # +--echo # Table definition after upgrade: +--echo # +show create table mysql.column_stats; + +select + A.db_name, + A.table_name, + A.hist_type = B.hist_type as hist_type_equal, + A.histogram = B.histogram as histogram_equal +from + t4 A + left join + mysql.column_stats B on A.db_name=B.db_name and + A.table_name=B.table_name and + A.column_name=B.column_name; + +drop table t1,t2,t4; diff --git a/mysql-test/main/statistics_upgrade_not_done.result b/mysql-test/main/statistics_upgrade_not_done.result new file mode 100644 index 00000000000..902bf25c242 --- /dev/null +++ b/mysql-test/main/statistics_upgrade_not_done.result @@ -0,0 +1,44 @@ +# Create the old-version of the table +call mtr.add_suppression(".*Incorrect definition of table mysql.column_stats:.*"); +alter table mysql.column_stats rename test.t1; +CREATE TABLE mysql.column_stats ( +`db_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, +`table_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, +`column_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, +`min_value` varbinary(255) DEFAULT NULL, +`max_value` varbinary(255) DEFAULT NULL, +`nulls_ratio` decimal(12,4) DEFAULT NULL, +`avg_length` decimal(12,4) DEFAULT NULL, +`avg_frequency` decimal(12,4) DEFAULT NULL, +`hist_size` tinyint(3) unsigned DEFAULT NULL, +`hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') COLLATE utf8mb3_bin DEFAULT NULL, +`histogram` varbinary(255) DEFAULT NULL, +PRIMARY KEY (`db_name`,`table_name`,`column_name`) +) ENGINE=Aria DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_bin PAGE_CHECKSUM=1 TRANSACTIONAL=0 COMMENT='Statistics on Columns'; +create table t0(a int); +insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); +INSERT INTO mysql.column_stats VALUES +('test','t0','a','0','9',0.0000,4.0000,1.0000,5,'DOUBLE_PREC_HB', x'5555AAAA00'); +flush tables; +analyze select * from t0 where a<3; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t0 ALL NULL NULL NULL NULL 10 10.00 100.00 30.00 Using where +# restart +select hex(histogram) from mysql.column_stats where table_name='t0' and db_name='test'; +hex(histogram) +5555AAAA00 +analyze select * from t0 where a<3; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t0 ALL NULL NULL NULL NULL 10 10.00 100.00 30.00 Using where +create table t2 (a int); +# This currently just pretends that the histogram was collected. +analyze table t2 persistent for all; +Table Op Msg_type Msg_text +test.t2 analyze status Engine-independent statistics collected +test.t2 analyze status Table is already up to date +select * from mysql.column_stats where table_name='t2' and db_name='test'; +db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram +analyze select * from t0 where a<3; +id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra +1 SIMPLE t0 ALL NULL NULL NULL NULL 10 10.00 33.33 30.00 Using where +drop table t0, t1, t2; diff --git a/mysql-test/main/statistics_upgrade_not_done.test b/mysql-test/main/statistics_upgrade_not_done.test new file mode 100644 index 00000000000..a74a5f35d83 --- /dev/null +++ b/mysql-test/main/statistics_upgrade_not_done.test @@ -0,0 +1,57 @@ +--source include/not_embedded.inc +--source include/mysql_upgrade_preparation.inc +--source include/have_innodb.inc + +# +# This is like the upgrade test in statistics_upgrade.test, except that we also +# check what happens if one doesn't do the upgrade and attempts to use the new +# server with the old mysql.column_stats table +# +--echo # Create the old-version of the table + +call mtr.add_suppression(".*Incorrect definition of table mysql.column_stats:.*"); + +alter table mysql.column_stats rename test.t1; + +CREATE TABLE mysql.column_stats ( + `db_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, + `table_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, + `column_name` varchar(64) COLLATE utf8mb3_bin NOT NULL, + `min_value` varbinary(255) DEFAULT NULL, + `max_value` varbinary(255) DEFAULT NULL, + `nulls_ratio` decimal(12,4) DEFAULT NULL, + `avg_length` decimal(12,4) DEFAULT NULL, + `avg_frequency` decimal(12,4) DEFAULT NULL, + `hist_size` tinyint(3) unsigned DEFAULT NULL, + `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') COLLATE utf8mb3_bin DEFAULT NULL, + `histogram` varbinary(255) DEFAULT NULL, + PRIMARY KEY (`db_name`,`table_name`,`column_name`) +) ENGINE=Aria DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_bin PAGE_CHECKSUM=1 TRANSACTIONAL=0 COMMENT='Statistics on Columns'; + +create table t0(a int); +insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); +INSERT INTO mysql.column_stats VALUES +('test','t0','a','0','9',0.0000,4.0000,1.0000,5,'DOUBLE_PREC_HB', x'5555AAAA00'); + +flush tables; +analyze select * from t0 where a<3; + +# Restart the server + +--source include/restart_mysqld.inc + +select hex(histogram) from mysql.column_stats where table_name='t0' and db_name='test'; +analyze select * from t0 where a<3; + +create table t2 (a int); +-- echo # This currently just pretends that the histogram was collected. +analyze table t2 persistent for all; +select * from mysql.column_stats where table_name='t2' and db_name='test'; + +--exec $MYSQL_UPGRADE --upgrade-system-tables --force --silent 2>&1 +let $MYSQLD_DATADIR= `select @@datadir`; +--file_exists $MYSQLD_DATADIR/mysql_upgrade_info +--remove_file $MYSQLD_DATADIR/mysql_upgrade_info + +analyze select * from t0 where a<3; +drop table t0, t1, t2; diff --git a/mysql-test/main/subselect_mat.result b/mysql-test/main/subselect_mat.result index 5f38d2a5d35..980db9f3ee1 100644 --- a/mysql-test/main/subselect_mat.result +++ b/mysql-test/main/subselect_mat.result @@ -61,7 +61,7 @@ explain extended select * from t1 where a1 in (select b1 from t2 where b1 > '0'); id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` where <expr_cache><`test`.`t1`.`a1`>(<in_optimizer>(`test`.`t1`.`a1`,`test`.`t1`.`a1` in ( <materialize> (/* select#2 */ select `test`.`t2`.`b1` from `test`.`t2` where `test`.`t2`.`b1` > '0' ), <primary_index_lookup>(`test`.`t1`.`a1` in <temporary table> on distinct_key where `test`.`t1`.`a1` = `<subquery2>`.`b1`)))) select * from t1 where a1 in (select b1 from t2 where b1 > '0'); @@ -72,7 +72,7 @@ explain extended select * from t1 where a1 in (select b1 from t2 where b1 > '0' group by b1); id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` where <expr_cache><`test`.`t1`.`a1`>(<in_optimizer>(`test`.`t1`.`a1`,`test`.`t1`.`a1` in ( <materialize> (/* select#2 */ select `test`.`t2`.`b1` from `test`.`t2` where `test`.`t2`.`b1` > '0' ), <primary_index_lookup>(`test`.`t1`.`a1` in <temporary table> on distinct_key where `test`.`t1`.`a1` = `<subquery2>`.`b1`)))) select * from t1 where a1 in (select b1 from t2 where b1 > '0' group by b1); @@ -83,7 +83,7 @@ explain extended select * from t1 where (a1, a2) in (select b1, b2 from t2 where b1 > '0' group by b1, b2); id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` where <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),(`test`.`t1`.`a1`,`test`.`t1`.`a2`) in ( <materialize> (/* select#2 */ select `test`.`t2`.`b1`,`test`.`t2`.`b2` from `test`.`t2` where `test`.`t2`.`b1` > '0' ), <primary_index_lookup>(`test`.`t1`.`a1` in <temporary table> on distinct_key where `test`.`t1`.`a1` = `<subquery2>`.`b1` and `test`.`t1`.`a2` = `<subquery2>`.`b2`)))) select * from t1 where (a1, a2) in (select b1, b2 from t2 where b1 > '0' group by b1, b2); @@ -94,7 +94,7 @@ explain extended select * from t1 where (a1, a2) in (select b1, min(b2) from t2 where b1 > '0' group by b1); id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where; Using temporary +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where; Using temporary Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` where <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),(`test`.`t1`.`a1`,`test`.`t1`.`a2`) in ( <materialize> (/* select#2 */ select `test`.`t2`.`b1`,min(`test`.`t2`.`b2`) from `test`.`t2` where `test`.`t2`.`b1` > '0' group by `test`.`t2`.`b1` ), <primary_index_lookup>(`test`.`t1`.`a1` in <temporary table> on distinct_key where `test`.`t1`.`a1` = `<subquery2>`.`b1` and `test`.`t1`.`a2` = `<subquery2>`.`min(b2)`)))) select * from t1 where (a1, a2) in (select b1, min(b2) from t2 where b1 > '0' group by b1); @@ -321,7 +321,7 @@ id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where 3 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where 4 MATERIALIZED t2i index it2i2 it2i3 18 NULL 5 100.00 Using where; Using index -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` where <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),(`test`.`t1`.`a1`,`test`.`t1`.`a2`) in ( <materialize> (/* select#2 */ select `test`.`t2`.`b1`,`test`.`t2`.`b2` from `test`.`t2` where `test`.`t2`.`b1` > '0' ), <primary_index_lookup>(`test`.`t1`.`a1` in <temporary table> on distinct_key where `test`.`t1`.`a1` = `<subquery2>`.`b1` and `test`.`t1`.`a2` = `<subquery2>`.`b2`)))) and <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),(`test`.`t1`.`a1`,`test`.`t1`.`a2`) in ( <materialize> (/* select#3 */ select `test`.`t3`.`c1`,`test`.`t3`.`c2` from `test`.`t3` where <expr_cache><`test`.`t3`.`c1`,`test`.`t3`.`c2`>(<in_optimizer>((`test`.`t3`.`c1`,`test`.`t3`.`c2`),(`test`.`t3`.`c1`,`test`.`t3`.`c2`) in ( <materialize> (/* select#4 */ select `test`.`t2i`.`b1`,`test`.`t2i`.`b2` from `test`.`t2i` where `test`.`t2i`.`b2` > '0' ), <primary_index_lookup>(`test`.`t3`.`c1` in <temporary table> on distinct_key where `test`.`t3`.`c1` = `<subquery4>`.`b1` and `test`.`t3`.`c2` = `<subquery4>`.`b2`)))) ), <primary_index_lookup>(`test`.`t1`.`a1` in <temporary table> on distinct_key where `test`.`t1`.`a1` = `<subquery3>`.`c1` and `test`.`t1`.`a2` = `<subquery3>`.`c2`)))) select * from t1 @@ -451,8 +451,8 @@ id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where 4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where 5 MATERIALIZED t2i index it2i2 it2i3 18 NULL 5 100.00 Using where; Using index -2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 99.22 Using where -3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 100.00 Using where +3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 100.00 Using where NULL UNION RESULT <union2,3> ALL NULL NULL NULL NULL NULL NULL Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` where <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),<exists>(/* select#2 */ select `test`.`t1`.`a1`,`test`.`t1`.`a2` from `test`.`t1` where `test`.`t1`.`a1` > '0' and <cache>(`test`.`t1`.`a1`) = `test`.`t1`.`a1` and <cache>(`test`.`t1`.`a2`) = `test`.`t1`.`a2` union /* select#3 */ select `test`.`t2`.`b1`,`test`.`t2`.`b2` from `test`.`t2` where `test`.`t2`.`b1` < '9' and <cache>(`test`.`t1`.`a1`) = `test`.`t2`.`b1` and <cache>(`test`.`t1`.`a2`) = `test`.`t2`.`b2`))) and <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),(`test`.`t1`.`a1`,`test`.`t1`.`a2`) in ( <materialize> (/* select#4 */ select `test`.`t3`.`c1`,`test`.`t3`.`c2` from `test`.`t3` where <expr_cache><`test`.`t3`.`c1`,`test`.`t3`.`c2`>(<in_optimizer>((`test`.`t3`.`c1`,`test`.`t3`.`c2`),(`test`.`t3`.`c1`,`test`.`t3`.`c2`) in ( <materialize> (/* select#5 */ select `test`.`t2i`.`b1`,`test`.`t2i`.`b2` from `test`.`t2i` where `test`.`t2i`.`b2` > '0' ), <primary_index_lookup>(`test`.`t3`.`c1` in <temporary table> on distinct_key where `test`.`t3`.`c1` = `<subquery5>`.`b1` and `test`.`t3`.`c2` = `<subquery5>`.`b2`)))) ), <primary_index_lookup>(`test`.`t1`.`a1` in <temporary table> on distinct_key where `test`.`t1`.`a1` = `<subquery4>`.`c1` and `test`.`t1`.`a2` = `<subquery4>`.`c2`)))) @@ -474,8 +474,8 @@ id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t3 ALL NULL NULL NULL NULL 4 100.00 Using where; Using join buffer (flat, BNL join) 4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where 5 MATERIALIZED t2i index it2i2 it2i3 18 NULL 5 100.00 Using where; Using index -2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 99.22 Using where -3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 100.00 Using where +3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 100.00 Using where NULL UNION RESULT <union2,3> ALL NULL NULL NULL NULL NULL NULL Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2`,`test`.`t3`.`c1` AS `c1`,`test`.`t3`.`c2` AS `c2` from `test`.`t1` join `test`.`t3` where `test`.`t3`.`c1` = `test`.`t1`.`a1` and <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),<exists>(/* select#2 */ select `test`.`t1`.`a1`,`test`.`t1`.`a2` from `test`.`t1` where `test`.`t1`.`a1` > '0' and <cache>(`test`.`t1`.`a1`) = `test`.`t1`.`a1` and <cache>(`test`.`t1`.`a2`) = `test`.`t1`.`a2` union /* select#3 */ select `test`.`t2`.`b1`,`test`.`t2`.`b2` from `test`.`t2` where `test`.`t2`.`b1` < '9' and <cache>(`test`.`t1`.`a1`) = `test`.`t2`.`b1` and <cache>(`test`.`t1`.`a2`) = `test`.`t2`.`b2`))) and <expr_cache><`test`.`t3`.`c1`,`test`.`t3`.`c2`>(<in_optimizer>((`test`.`t3`.`c1`,`test`.`t3`.`c2`),(`test`.`t3`.`c1`,`test`.`t3`.`c2`) in ( <materialize> (/* select#4 */ select `test`.`t3`.`c1`,`test`.`t3`.`c2` from `test`.`t3` where <expr_cache><`test`.`t3`.`c1`,`test`.`t3`.`c2`>(<in_optimizer>((`test`.`t3`.`c1`,`test`.`t3`.`c2`),(`test`.`t3`.`c1`,`test`.`t3`.`c2`) in ( <materialize> (/* select#5 */ select `test`.`t2i`.`b1`,`test`.`t2i`.`b2` from `test`.`t2i` where `test`.`t2i`.`b2` > '0' ), <primary_index_lookup>(`test`.`t3`.`c1` in <temporary table> on distinct_key where `test`.`t3`.`c1` = `<subquery5>`.`b1` and `test`.`t3`.`c2` = `<subquery5>`.`b2`)))) ), <primary_index_lookup>(`test`.`t3`.`c1` in <temporary table> on distinct_key where `test`.`t3`.`c1` = `<subquery4>`.`c1` and `test`.`t3`.`c2` = `<subquery4>`.`c2`)))) @@ -496,8 +496,8 @@ select * from t3 where c1 in (select a1 from t1 where a1 > '0' UNION select b1 from t2 where b1 < '9'); id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t3 ALL NULL NULL NULL NULL 4 100.00 Using where -2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 99.22 Using where -3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 100.00 Using where +3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 100.00 Using where NULL UNION RESULT <union2,3> ALL NULL NULL NULL NULL NULL NULL Warnings: Note 1003 /* select#1 */ select `test`.`t3`.`c1` AS `c1`,`test`.`t3`.`c2` AS `c2` from `test`.`t3` where <expr_cache><`test`.`t3`.`c1`>(<in_optimizer>(`test`.`t3`.`c1`,<exists>(/* select#2 */ select `test`.`t1`.`a1` from `test`.`t1` where `test`.`t1`.`a1` > '0' and <cache>(`test`.`t3`.`c1`) = `test`.`t1`.`a1` union /* select#3 */ select `test`.`t2`.`b1` from `test`.`t2` where `test`.`t2`.`b1` < '9' and <cache>(`test`.`t3`.`c1`) = `test`.`t2`.`b1`))) @@ -711,7 +711,7 @@ id select_type table type possible_keys key key_len ref rows filtered Extra 2 DEPENDENT SUBQUERY t1_16 ALL NULL NULL NULL NULL 3 100.00 Using where 3 DEPENDENT SUBQUERY t2_16 ALL NULL NULL NULL NULL 3 100.00 Using where 3 DEPENDENT SUBQUERY t2 ALL NULL NULL NULL NULL 5 100.00 Using where; Using join buffer (flat, BNL join) -4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 99.22 Using where +4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` where <expr_cache><concat(`test`.`t1`.`a1`,'x')>(<in_optimizer>(concat(`test`.`t1`.`a1`,'x'),<exists>(/* select#2 */ select left(`test`.`t1_16`.`a1`,8) from `test`.`t1_16` where <expr_cache><`test`.`t1_16`.`a1`,`test`.`t1_16`.`a2`>(<in_optimizer>((`test`.`t1_16`.`a1`,`test`.`t1_16`.`a2`),<exists>(/* select#3 */ select `test`.`t2_16`.`b1`,`test`.`t2_16`.`b2` from `test`.`t2_16` join `test`.`t2` where `test`.`t2`.`b2` = substr(`test`.`t2_16`.`b2`,1,6) and <expr_cache><`test`.`t2`.`b1`>(<in_optimizer>(`test`.`t2`.`b1`,`test`.`t2`.`b1` in ( <materialize> (/* select#4 */ select `test`.`t3`.`c1` from `test`.`t3` where `test`.`t3`.`c2` > '0' ), <primary_index_lookup>(`test`.`t2`.`b1` in <temporary table> on distinct_key where `test`.`t2`.`b1` = `<subquery4>`.`c1`)))) and <cache>(`test`.`t1_16`.`a1`) = `test`.`t2_16`.`b1` and <cache>(`test`.`t1_16`.`a2`) = `test`.`t2_16`.`b2`))) and <cache>(concat(`test`.`t1`.`a1`,'x')) = left(`test`.`t1_16`.`a1`,8)))) drop table t1_16, t2_16, t3_16; diff --git a/mysql-test/main/subselect_sj_mat.result b/mysql-test/main/subselect_sj_mat.result index 695c010692c..97dcf07705c 100644 --- a/mysql-test/main/subselect_sj_mat.result +++ b/mysql-test/main/subselect_sj_mat.result @@ -59,9 +59,9 @@ set @@optimizer_switch='materialization=on,in_to_exists=off,firstmatch=off'; explain extended select * from t1 where a1 in (select b1 from t2 where b1 > '0'); id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t1 ALL NULL NULL NULL NULL 3 99.22 +1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 1 PRIMARY <subquery2> eq_ref distinct_key distinct_key 8 func 1 100.00 -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` semi join (`test`.`t2`) where `test`.`t2`.`b1` > '0' select * from t1 where a1 in (select b1 from t2 where b1 > '0'); @@ -71,9 +71,9 @@ a1 a2 explain extended select * from t1 where a1 in (select b1 from t2 where b1 > '0' group by b1); id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t1 ALL NULL NULL NULL NULL 3 99.22 +1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 1 PRIMARY <subquery2> eq_ref distinct_key distinct_key 8 func 1 100.00 -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` semi join (`test`.`t2`) where `test`.`t2`.`b1` > '0' select * from t1 where a1 in (select b1 from t2 where b1 > '0' group by b1); @@ -83,9 +83,9 @@ a1 a2 explain extended select * from t1 where (a1, a2) in (select b1, b2 from t2 where b1 > '0' group by b1, b2); id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t1 ALL NULL NULL NULL NULL 3 99.22 +1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 1 PRIMARY <subquery2> eq_ref distinct_key distinct_key 16 func,func 1 100.00 -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` semi join (`test`.`t2`) where `test`.`t2`.`b1` > '0' select * from t1 where (a1, a2) in (select b1, b2 from t2 where b1 > '0' group by b1, b2); @@ -97,7 +97,7 @@ select * from t1 where (a1, a2) in (select b1, min(b2) from t2 where b1 > '0' gr id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where 1 PRIMARY <subquery2> eq_ref distinct_key distinct_key 16 test.t1.a1,test.t1.a2 1 100.00 -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where; Using temporary +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where; Using temporary Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from <materialize> (/* select#2 */ select `test`.`t2`.`b1`,min(`test`.`t2`.`b2`) from `test`.`t2` where `test`.`t2`.`b1` > '0' group by `test`.`t2`.`b1`) join `test`.`t1` where `<subquery2>`.`b1` = `test`.`t1`.`a1` and `<subquery2>`.`min(b2)` = `test`.`t1`.`a2` select * from t1 where (a1, a2) in (select b1, min(b2) from t2 where b1 > '0' group by b1); @@ -331,12 +331,12 @@ where (a1, a2) in (select b1, b2 from t2 where b1 > '0') and (a1, a2) in (select c1, c2 from t3 where (c1, c2) in (select b1, b2 from t2i where b2 > '0')); id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t1 ALL NULL NULL NULL NULL 3 98.44 +1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 1 PRIMARY <subquery3> eq_ref distinct_key distinct_key 16 func,func 1 100.00 1 PRIMARY <subquery2> eq_ref distinct_key distinct_key 16 func,func 1 100.00 -3 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 98.44 Using where +3 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where 3 MATERIALIZED t2i ref it2i1,it2i2,it2i3 it2i3 18 test.t3.c1,test.t3.c2 1 100.00 Using index -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 98.44 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` semi join (`test`.`t2`) semi join (`test`.`t2i` join `test`.`t3`) where `test`.`t2i`.`b1` = `test`.`t3`.`c1` and `test`.`t2i`.`b2` = `test`.`t3`.`c2` and `test`.`t2`.`b1` > '0' and `test`.`t3`.`c2` > '0' select * from t1 @@ -375,12 +375,12 @@ b2 in (select c2 from t3 where c2 LIKE '%03')) and (a1, a2) in (select c1, c2 from t3 where (c1, c2) in (select b1, b2 from t2i where b2 > '0')); id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t1 ALL NULL NULL NULL NULL 3 99.22 +1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 1 PRIMARY <subquery5> eq_ref distinct_key distinct_key 16 func,func 1 100.00 1 PRIMARY <subquery2> eq_ref distinct_key distinct_key 16 func,func 1 100.00 -5 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 99.22 Using where +5 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where 5 MATERIALIZED t2i ref it2i1,it2i2,it2i3 it2i3 18 test.t3.c1,test.t3.c2 1 100.00 Using index -2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 MATERIALIZED t2 ALL NULL NULL NULL NULL 5 100.00 Using where 4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where 3 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where Warnings: @@ -401,10 +401,10 @@ b2 in (select c2 from t3 t3b where c2 LIKE '%03')) and (a1, a2) in (select c1, c2 from t3 t3c where (c1, c2) in (select b1, b2 from t2i where b2 > '0')); id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t1 ALL NULL NULL NULL NULL 3 99.22 +1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 1 PRIMARY <subquery5> eq_ref distinct_key distinct_key 16 func,func 1 100.00 -1 PRIMARY t2 ALL NULL NULL NULL NULL 5 99.22 Using where; Start temporary; End temporary; Using join buffer (flat, BNL join) -5 MATERIALIZED t3c ALL NULL NULL NULL NULL 4 99.22 Using where +1 PRIMARY t2 ALL NULL NULL NULL NULL 5 100.00 Using where; Start temporary; End temporary; Using join buffer (flat, BNL join) +5 MATERIALIZED t3c ALL NULL NULL NULL NULL 4 100.00 Using where 5 MATERIALIZED t2i ref it2i1,it2i2,it2i3 it2i3 18 test.t3c.c1,test.t3c.c2 1 100.00 Using index 4 MATERIALIZED t3b ALL NULL NULL NULL NULL 4 100.00 Using where 3 DEPENDENT SUBQUERY t3a ALL NULL NULL NULL NULL 4 100.00 Using where @@ -434,12 +434,12 @@ where (a1, a2) in (select b1, b2 from t2i where b1 > '0') and (a1, a2) in (select c1, c2 from t3i where (c1, c2) in (select b1, b2 from t2i where b2 > '0'))); id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t1 ALL NULL # # # 3 99.22 # +1 PRIMARY t1 ALL NULL # # # 3 100.00 # 1 PRIMARY <subquery5> eq_ref distinct_key # # # 1 100.00 # 1 PRIMARY <subquery2> eq_ref distinct_key # # # 1 100.00 # -5 MATERIALIZED t3 ALL NULL # # # 4 99.22 # +5 MATERIALIZED t3 ALL NULL # # # 4 100.00 # 5 MATERIALIZED t2i ref it2i1,it2i2,it2i3 # # # 1 100.00 # -2 MATERIALIZED t2 ALL NULL # # # 5 99.22 # +2 MATERIALIZED t2 ALL NULL # # # 5 100.00 # 4 MATERIALIZED t3 ALL NULL # # # 4 100.00 # 3 MATERIALIZED t3 ALL NULL # # # 4 100.00 # 7 UNION t1i range it1i1,it1i2,it1i3 # # # 3 100.00 # @@ -472,12 +472,12 @@ where (a1, a2) in (select * from t1 where a1 > '0' UNION select * from t2 where (a1, a2) in (select c1, c2 from t3 where (c1, c2) in (select b1, b2 from t2i where b2 > '0')); id select_type table type possible_keys key key_len ref rows filtered Extra -1 PRIMARY t1 ALL NULL NULL NULL NULL 3 99.22 Using where +1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where 1 PRIMARY <subquery4> eq_ref distinct_key distinct_key 16 func,func 1 100.00 -4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 99.22 Using where +4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where 4 MATERIALIZED t2i ref it2i1,it2i2,it2i3 it2i3 18 test.t3.c1,test.t3.c2 1 100.00 Using index -2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 99.22 Using where -3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 100.00 Using where +3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 100.00 Using where NULL UNION RESULT <union2,3> ALL NULL NULL NULL NULL NULL NULL Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` semi join (`test`.`t2i` join `test`.`t3`) where `test`.`t2i`.`b1` = `test`.`t3`.`c1` and `test`.`t2i`.`b2` = `test`.`t3`.`c2` and <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),<exists>(/* select#2 */ select `test`.`t1`.`a1`,`test`.`t1`.`a2` from `test`.`t1` where `test`.`t1`.`a1` > '0' and <cache>(`test`.`t1`.`a1`) = `test`.`t1`.`a1` and <cache>(`test`.`t1`.`a2`) = `test`.`t1`.`a2` union /* select#3 */ select `test`.`t2`.`b1`,`test`.`t2`.`b2` from `test`.`t2` where `test`.`t2`.`b1` < '9' and <cache>(`test`.`t1`.`a1`) = `test`.`t2`.`b1` and <cache>(`test`.`t1`.`a2`) = `test`.`t2`.`b2`))) and `test`.`t3`.`c2` > '0' @@ -496,12 +496,12 @@ where (c1, c2) in (select b1, b2 from t2i where b2 > '0')) and a1 = c1; id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 Using where -1 PRIMARY t3 ALL NULL NULL NULL NULL 4 99.22 Using where; Using join buffer (flat, BNL join) +1 PRIMARY t3 ALL NULL NULL NULL NULL 4 100.00 Using where; Using join buffer (flat, BNL join) 1 PRIMARY <subquery4> eq_ref distinct_key distinct_key 16 func,func 1 100.00 -4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 99.22 Using where +4 MATERIALIZED t3 ALL NULL NULL NULL NULL 4 100.00 Using where 4 MATERIALIZED t2i ref it2i1,it2i2,it2i3 it2i3 18 test.t3.c1,test.t3.c2 1 100.00 Using index -2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 99.22 Using where -3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 100.00 Using where +3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 100.00 Using where NULL UNION RESULT <union2,3> ALL NULL NULL NULL NULL NULL NULL Warnings: Note 1003 /* select#1 */ select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2`,`test`.`t3`.`c1` AS `c1`,`test`.`t3`.`c2` AS `c2` from `test`.`t1` semi join (`test`.`t2i` join `test`.`t3`) join `test`.`t3` where `test`.`t3`.`c1` = `test`.`t1`.`a1` and `test`.`t2i`.`b1` = `test`.`t3`.`c1` and `test`.`t2i`.`b2` = `test`.`t3`.`c2` and <expr_cache><`test`.`t1`.`a1`,`test`.`t1`.`a2`>(<in_optimizer>((`test`.`t1`.`a1`,`test`.`t1`.`a2`),<exists>(/* select#2 */ select `test`.`t1`.`a1`,`test`.`t1`.`a2` from `test`.`t1` where `test`.`t1`.`a1` > '0' and <cache>(`test`.`t1`.`a1`) = `test`.`t1`.`a1` and <cache>(`test`.`t1`.`a2`) = `test`.`t1`.`a2` union /* select#3 */ select `test`.`t2`.`b1`,`test`.`t2`.`b2` from `test`.`t2` where `test`.`t2`.`b1` < '9' and <cache>(`test`.`t1`.`a1`) = `test`.`t2`.`b1` and <cache>(`test`.`t1`.`a2`) = `test`.`t2`.`b2`))) and `test`.`t3`.`c2` > '0' @@ -522,8 +522,8 @@ select * from t3 where c1 in (select a1 from t1 where a1 > '0' UNION select b1 from t2 where b1 < '9'); id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t3 ALL NULL NULL NULL NULL 4 100.00 Using where -2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 99.22 Using where -3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 99.22 Using where +2 DEPENDENT SUBQUERY t1 ALL NULL NULL NULL NULL 3 100.00 Using where +3 DEPENDENT UNION t2 ALL NULL NULL NULL NULL 5 100.00 Using where NULL UNION RESULT <union2,3> ALL NULL NULL NULL NULL NULL NULL Warnings: Note 1003 /* select#1 */ select `test`.`t3`.`c1` AS `c1`,`test`.`t3`.`c2` AS `c2` from `test`.`t3` where <expr_cache><`test`.`t3`.`c1`>(<in_optimizer>(`test`.`t3`.`c1`,<exists>(/* select#2 */ select `test`.`t1`.`a1` from `test`.`t1` where `test`.`t1`.`a1` > '0' and <cache>(`test`.`t3`.`c1`) = `test`.`t1`.`a1` union /* select#3 */ select `test`.`t2`.`b1` from `test`.`t2` where `test`.`t2`.`b1` < '9' and <cache>(`test`.`t3`.`c1`) = `test`.`t2`.`b1`))) @@ -738,7 +738,7 @@ id select_type table type possible_keys key key_len ref rows filtered Extra 1 PRIMARY t1 ALL NULL NULL NULL NULL 3 100.00 1 PRIMARY t1_16 ALL NULL NULL NULL NULL 3 100.00 Using where; Start temporary; Using join buffer (flat, BNL join) 1 PRIMARY t2_16 ALL NULL NULL NULL NULL 3 100.00 Using where; Using join buffer (flat, BNL join) -1 PRIMARY t3 ALL NULL NULL NULL NULL 4 99.22 Using where; Using join buffer (flat, BNL join) +1 PRIMARY t3 ALL NULL NULL NULL NULL 4 100.00 Using where; Using join buffer (flat, BNL join) 1 PRIMARY t2 ALL NULL NULL NULL NULL 5 100.00 Using where; End temporary; Using join buffer (flat, BNL join) Warnings: Note 1003 select `test`.`t1`.`a1` AS `a1`,`test`.`t1`.`a2` AS `a2` from `test`.`t1` semi join (`test`.`t3` join `test`.`t2_16` join `test`.`t2` join `test`.`t1_16`) where `test`.`t2`.`b1` = `test`.`t3`.`c1` and `test`.`t2_16`.`b1` = `test`.`t1_16`.`a1` and `test`.`t2_16`.`b2` = `test`.`t1_16`.`a2` and `test`.`t2`.`b2` = substr(`test`.`t1_16`.`a2`,1,6) and `test`.`t3`.`c2` > '0' and concat(`test`.`t1`.`a1`,'x') = left(`test`.`t1_16`.`a1`,8) diff --git a/mysql-test/main/system_mysql_db.result b/mysql-test/main/system_mysql_db.result index d0d1e7c1175..dcc71da3677 100644 --- a/mysql-test/main/system_mysql_db.result +++ b/mysql-test/main/system_mysql_db.result @@ -234,8 +234,8 @@ column_stats CREATE TABLE `column_stats` ( `avg_length` decimal(12,4) DEFAULT NULL, `avg_frequency` decimal(12,4) DEFAULT NULL, `hist_size` tinyint(3) unsigned DEFAULT NULL, - `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') COLLATE utf8mb3_bin DEFAULT NULL, - `histogram` varbinary(255) DEFAULT NULL, + `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') COLLATE utf8mb3_bin DEFAULT NULL, + `histogram` longblob DEFAULT NULL, PRIMARY KEY (`db_name`,`table_name`,`column_name`) ) ENGINE=Aria DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_bin PAGE_CHECKSUM=1 TRANSACTIONAL=0 COMMENT='Statistics on Columns' show create table index_stats; diff --git a/mysql-test/main/system_mysql_db_fix40123.result b/mysql-test/main/system_mysql_db_fix40123.result index 127e2c49642..4ab80425a35 100644 --- a/mysql-test/main/system_mysql_db_fix40123.result +++ b/mysql-test/main/system_mysql_db_fix40123.result @@ -272,8 +272,8 @@ column_stats CREATE TABLE `column_stats` ( `avg_length` decimal(12,4) DEFAULT NULL, `avg_frequency` decimal(12,4) DEFAULT NULL, `hist_size` tinyint(3) unsigned DEFAULT NULL, - `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') COLLATE utf8mb3_bin DEFAULT NULL, - `histogram` varbinary(255) DEFAULT NULL, + `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') COLLATE utf8mb3_bin DEFAULT NULL, + `histogram` longblob DEFAULT NULL, PRIMARY KEY (`db_name`,`table_name`,`column_name`) ) ENGINE=Aria DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_bin PAGE_CHECKSUM=1 TRANSACTIONAL=0 COMMENT='Statistics on Columns' show create table index_stats; diff --git a/mysql-test/main/system_mysql_db_fix50030.result b/mysql-test/main/system_mysql_db_fix50030.result index fd0074c7f54..4244ab47d50 100644 --- a/mysql-test/main/system_mysql_db_fix50030.result +++ b/mysql-test/main/system_mysql_db_fix50030.result @@ -276,8 +276,8 @@ column_stats CREATE TABLE `column_stats` ( `avg_length` decimal(12,4) DEFAULT NULL, `avg_frequency` decimal(12,4) DEFAULT NULL, `hist_size` tinyint(3) unsigned DEFAULT NULL, - `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') COLLATE utf8mb3_bin DEFAULT NULL, - `histogram` varbinary(255) DEFAULT NULL, + `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') COLLATE utf8mb3_bin DEFAULT NULL, + `histogram` longblob DEFAULT NULL, PRIMARY KEY (`db_name`,`table_name`,`column_name`) ) ENGINE=Aria DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_bin PAGE_CHECKSUM=1 TRANSACTIONAL=0 COMMENT='Statistics on Columns' show create table index_stats; diff --git a/mysql-test/main/system_mysql_db_fix50117.result b/mysql-test/main/system_mysql_db_fix50117.result index a7d705c4158..59341406315 100644 --- a/mysql-test/main/system_mysql_db_fix50117.result +++ b/mysql-test/main/system_mysql_db_fix50117.result @@ -256,8 +256,8 @@ column_stats CREATE TABLE `column_stats` ( `avg_length` decimal(12,4) DEFAULT NULL, `avg_frequency` decimal(12,4) DEFAULT NULL, `hist_size` tinyint(3) unsigned DEFAULT NULL, - `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') COLLATE utf8mb3_bin DEFAULT NULL, - `histogram` varbinary(255) DEFAULT NULL, + `hist_type` enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') COLLATE utf8mb3_bin DEFAULT NULL, + `histogram` longblob DEFAULT NULL, PRIMARY KEY (`db_name`,`table_name`,`column_name`) ) ENGINE=Aria DEFAULT CHARSET=utf8mb3 COLLATE=utf8mb3_bin PAGE_CHECKSUM=1 TRANSACTIONAL=0 COMMENT='Statistics on Columns' show create table index_stats; diff --git a/mysql-test/suite/funcs_1/r/is_columns_mysql.result b/mysql-test/suite/funcs_1/r/is_columns_mysql.result index ef4832cdb8a..b50ae58df28 100644 --- a/mysql-test/suite/funcs_1/r/is_columns_mysql.result +++ b/mysql-test/suite/funcs_1/r/is_columns_mysql.result @@ -13,9 +13,9 @@ def mysql column_stats avg_frequency 8 NULL YES decimal NULL NULL 12 4 NULL NULL def mysql column_stats avg_length 7 NULL YES decimal NULL NULL 12 4 NULL NULL NULL decimal(12,4) select,insert,update,references NEVER NULL def mysql column_stats column_name 3 NULL NO varchar 64 192 NULL NULL NULL utf8mb3 utf8mb3_bin varchar(64) PRI select,insert,update,references NEVER NULL def mysql column_stats db_name 1 NULL NO varchar 64 192 NULL NULL NULL utf8mb3 utf8mb3_bin varchar(64) PRI select,insert,update,references NEVER NULL -def mysql column_stats histogram 11 NULL YES varbinary 255 255 NULL NULL NULL NULL NULL varbinary(255) select,insert,update,references NEVER NULL +def mysql column_stats histogram 11 NULL YES longblob 4294967295 4294967295 NULL NULL NULL NULL NULL longblob select,insert,update,references NEVER NULL def mysql column_stats hist_size 9 NULL YES tinyint NULL NULL 3 0 NULL NULL NULL tinyint(3) unsigned select,insert,update,references NEVER NULL -def mysql column_stats hist_type 10 NULL YES enum 14 42 NULL NULL NULL utf8mb3 utf8mb3_bin enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') select,insert,update,references NEVER NULL +def mysql column_stats hist_type 10 NULL YES enum 14 42 NULL NULL NULL utf8mb3 utf8mb3_bin enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') select,insert,update,references NEVER NULL def mysql column_stats max_value 5 NULL YES varbinary 255 255 NULL NULL NULL NULL NULL varbinary(255) select,insert,update,references NEVER NULL def mysql column_stats min_value 4 NULL YES varbinary 255 255 NULL NULL NULL NULL NULL varbinary(255) select,insert,update,references NEVER NULL def mysql column_stats nulls_ratio 6 NULL YES decimal NULL NULL 12 4 NULL NULL NULL decimal(12,4) select,insert,update,references NEVER NULL @@ -345,8 +345,8 @@ NULL mysql column_stats nulls_ratio decimal NULL NULL NULL NULL decimal(12,4) NULL mysql column_stats avg_length decimal NULL NULL NULL NULL decimal(12,4) NULL mysql column_stats avg_frequency decimal NULL NULL NULL NULL decimal(12,4) NULL mysql column_stats hist_size tinyint NULL NULL NULL NULL tinyint(3) unsigned -3.0000 mysql column_stats hist_type enum 14 42 utf8mb3 utf8mb3_bin enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') -1.0000 mysql column_stats histogram varbinary 255 255 NULL NULL varbinary(255) +3.0000 mysql column_stats hist_type enum 14 42 utf8mb3 utf8mb3_bin enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') +1.0000 mysql column_stats histogram longblob 4294967295 4294967295 NULL NULL longblob 3.0000 mysql db Host char 255 765 utf8mb3 utf8mb3_bin char(255) 3.0000 mysql db Db char 64 192 utf8mb3 utf8mb3_bin char(64) 3.0000 mysql db User char 128 384 utf8mb3 utf8mb3_bin char(128) diff --git a/mysql-test/suite/funcs_1/r/is_columns_mysql_embedded.result b/mysql-test/suite/funcs_1/r/is_columns_mysql_embedded.result index 1a794c2828d..96751dfd176 100644 --- a/mysql-test/suite/funcs_1/r/is_columns_mysql_embedded.result +++ b/mysql-test/suite/funcs_1/r/is_columns_mysql_embedded.result @@ -13,9 +13,9 @@ def mysql column_stats avg_frequency 8 NULL YES decimal NULL NULL 12 4 NULL NULL def mysql column_stats avg_length 7 NULL YES decimal NULL NULL 12 4 NULL NULL NULL decimal(12,4) NEVER NULL def mysql column_stats column_name 3 NULL NO varchar 64 192 NULL NULL NULL utf8mb3 utf8mb3_bin varchar(64) PRI NEVER NULL def mysql column_stats db_name 1 NULL NO varchar 64 192 NULL NULL NULL utf8mb3 utf8mb3_bin varchar(64) PRI NEVER NULL -def mysql column_stats histogram 11 NULL YES varbinary 255 255 NULL NULL NULL NULL NULL varbinary(255) NEVER NULL +def mysql column_stats histogram 11 NULL YES longblob 4294967295 4294967295 NULL NULL NULL NULL NULL longblob NEVER NULL def mysql column_stats hist_size 9 NULL YES tinyint NULL NULL 3 0 NULL NULL NULL tinyint(3) unsigned NEVER NULL -def mysql column_stats hist_type 10 NULL YES enum 14 42 NULL NULL NULL utf8mb3 utf8mb3_bin enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') NEVER NULL +def mysql column_stats hist_type 10 NULL YES enum 14 42 NULL NULL NULL utf8mb3 utf8mb3_bin enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') NEVER NULL def mysql column_stats max_value 5 NULL YES varbinary 255 255 NULL NULL NULL NULL NULL varbinary(255) NEVER NULL def mysql column_stats min_value 4 NULL YES varbinary 255 255 NULL NULL NULL NULL NULL varbinary(255) NEVER NULL def mysql column_stats nulls_ratio 6 NULL YES decimal NULL NULL 12 4 NULL NULL NULL decimal(12,4) NEVER NULL @@ -342,8 +342,8 @@ NULL mysql column_stats nulls_ratio decimal NULL NULL NULL NULL decimal(12,4) NULL mysql column_stats avg_length decimal NULL NULL NULL NULL decimal(12,4) NULL mysql column_stats avg_frequency decimal NULL NULL NULL NULL decimal(12,4) NULL mysql column_stats hist_size tinyint NULL NULL NULL NULL tinyint(3) unsigned -3.0000 mysql column_stats hist_type enum 14 42 utf8mb3 utf8mb3_bin enum('SINGLE_PREC_HB','DOUBLE_PREC_HB') -1.0000 mysql column_stats histogram varbinary 255 255 NULL NULL varbinary(255) +3.0000 mysql column_stats hist_type enum 14 42 utf8mb3 utf8mb3_bin enum('SINGLE_PREC_HB','DOUBLE_PREC_HB','JSON_HB') +1.0000 mysql column_stats histogram longblob 4294967295 4294967295 NULL NULL longblob 3.0000 mysql db Host char 255 765 utf8mb3 utf8mb3_bin char(255) 3.0000 mysql db Db char 64 192 utf8mb3 utf8mb3_bin char(64) 3.0000 mysql db User char 128 384 utf8mb3 utf8mb3_bin char(128) diff --git a/mysql-test/suite/sys_vars/r/histogram_type_basic.result b/mysql-test/suite/sys_vars/r/histogram_type_basic.result index db42204ac1f..c24192002aa 100644 --- a/mysql-test/suite/sys_vars/r/histogram_type_basic.result +++ b/mysql-test/suite/sys_vars/r/histogram_type_basic.result @@ -1,11 +1,11 @@ SET @start_global_value = @@global.histogram_type; SELECT @start_global_value; @start_global_value -DOUBLE_PREC_HB +JSON_HB SET @start_session_value = @@session.histogram_type; SELECT @start_session_value; @start_session_value -DOUBLE_PREC_HB +JSON_HB SET @@global.histogram_type = 1; SET @@global.histogram_type = DEFAULT; SELECT @@global.histogram_type; @@ -71,9 +71,9 @@ HISTOGRAM_TYPE DOUBLE_PREC_HB SET @@global.histogram_type = @start_global_value; SELECT @@global.histogram_type; @@global.histogram_type -DOUBLE_PREC_HB +JSON_HB SET @@session.histogram_type = @start_session_value; SELECT @@session.histogram_type; @@session.histogram_type -DOUBLE_PREC_HB +JSON_HB set sql_mode=''; diff --git a/mysql-test/suite/sys_vars/r/sysvars_server_embedded.result b/mysql-test/suite/sys_vars/r/sysvars_server_embedded.result index b1d2a6595b3..fc9d8db4b9f 100644 --- a/mysql-test/suite/sys_vars/r/sysvars_server_embedded.result +++ b/mysql-test/suite/sys_vars/r/sysvars_server_embedded.result @@ -1205,11 +1205,11 @@ COMMAND_LINE_ARGUMENT REQUIRED VARIABLE_NAME HISTOGRAM_TYPE VARIABLE_SCOPE SESSION VARIABLE_TYPE ENUM -VARIABLE_COMMENT Specifies type of the histograms created by ANALYZE. Possible values are: SINGLE_PREC_HB - single precision height-balanced, DOUBLE_PREC_HB - double precision height-balanced. +VARIABLE_COMMENT Specifies type of the histograms created by ANALYZE. Possible values are: SINGLE_PREC_HB - single precision height-balanced, DOUBLE_PREC_HB - double precision height-balanced, JSON_HB - height-balanced, stored as JSON. NUMERIC_MIN_VALUE NULL NUMERIC_MAX_VALUE NULL NUMERIC_BLOCK_SIZE NULL -ENUM_VALUE_LIST SINGLE_PREC_HB,DOUBLE_PREC_HB +ENUM_VALUE_LIST SINGLE_PREC_HB,DOUBLE_PREC_HB,JSON_HB READ_ONLY NO COMMAND_LINE_ARGUMENT REQUIRED VARIABLE_NAME HOSTNAME diff --git a/mysql-test/suite/sys_vars/r/sysvars_server_notembedded.result b/mysql-test/suite/sys_vars/r/sysvars_server_notembedded.result index 7b811a011ff..177584cf79d 100644 --- a/mysql-test/suite/sys_vars/r/sysvars_server_notembedded.result +++ b/mysql-test/suite/sys_vars/r/sysvars_server_notembedded.result @@ -1305,11 +1305,11 @@ COMMAND_LINE_ARGUMENT REQUIRED VARIABLE_NAME HISTOGRAM_TYPE VARIABLE_SCOPE SESSION VARIABLE_TYPE ENUM -VARIABLE_COMMENT Specifies type of the histograms created by ANALYZE. Possible values are: SINGLE_PREC_HB - single precision height-balanced, DOUBLE_PREC_HB - double precision height-balanced. +VARIABLE_COMMENT Specifies type of the histograms created by ANALYZE. Possible values are: SINGLE_PREC_HB - single precision height-balanced, DOUBLE_PREC_HB - double precision height-balanced, JSON_HB - height-balanced, stored as JSON. NUMERIC_MIN_VALUE NULL NUMERIC_MAX_VALUE NULL NUMERIC_BLOCK_SIZE NULL -ENUM_VALUE_LIST SINGLE_PREC_HB,DOUBLE_PREC_HB +ENUM_VALUE_LIST SINGLE_PREC_HB,DOUBLE_PREC_HB,JSON_HB READ_ONLY NO COMMAND_LINE_ARGUMENT REQUIRED VARIABLE_NAME HOSTNAME |