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Implement point selectivity for JSON histograms
* Also merges tests relating to JSON statistics into one file Signed-off-by: Michael Okoko <okokomichaels@outlook.com>
This commit is contained in:
Michael Okoko
committed by
Sergei Petrunia
Sergei Petrunia
parent
547f805311
commit
bff65a813e
@@ -4,6 +4,175 @@
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drop table if exists t1;
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set @save_histogram_type=@@histogram_type;
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set @save_histogram_size=@@histogram_size;
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create table ten(a int primary key);
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insert into ten values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
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create table t1_bin (a varchar(255));
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insert into t1_bin select concat('a-', a) from ten;
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set histogram_size=100;
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analyze table t1_bin persistent for all;
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Table Op Msg_type Msg_text
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test.t1_bin analyze status Engine-independent statistics collected
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test.t1_bin analyze status OK
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select hex(histogram) from mysql.column_stats where table_name='t1_bin';
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hex(histogram)
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00000000000000000000711C711C711C711C711CE338E338E338E338E33855555555555555555555C671C671C671C671C671388E388E388E388E388EAAAAAAAAAAAAAAAAAAAA1BC71BC71BC71BC71BC78DE38DE38DE38DE38DE3FFFFFFFFFFFFFFFFFFFF
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explain extended select * from t1_bin where a between 'a-3a' and 'zzzzzzzzz';
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t1_bin ALL NULL NULL NULL NULL 10 58.82 Using where
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Warnings:
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Note 1003 select `test`.`t1_bin`.`a` AS `a` from `test`.`t1_bin` where `test`.`t1_bin`.`a` between 'a-3a' and 'zzzzzzzzz'
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analyze select * from t1_bin where a between 'a-3a' and 'zzzzzzzzz';
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id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
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1 SIMPLE t1_bin ALL NULL NULL NULL NULL 10 10.00 58.82 60.00 Using where
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create table t1_json (a varchar(255));
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insert into t1_json select concat('a-', a) from ten;
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set histogram_type=json;
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analyze table t1_json persistent for all;
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Table Op Msg_type Msg_text
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test.t1_json analyze status Engine-independent statistics collected
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test.t1_json analyze status OK
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select * from mysql.column_stats where table_name='t1_json';
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db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram
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test t1_json a a-0 a-9 0.0000 3.0000 1.0000 100 JSON [
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"a-0",
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"a-0",
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"a-0",
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"a-0",
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"a-0",
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"a-0",
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"a-0",
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"a-0",
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"a-0",
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"a-0",
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"a-1",
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"a-1",
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"a-1",
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"a-1",
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"a-1",
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"a-1",
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"a-1",
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"a-1",
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"a-1",
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"a-1",
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"a-2",
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"a-2",
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"a-2",
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"a-2",
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"a-2",
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"a-2",
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"a-2",
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"a-2",
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"a-2",
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"a-2",
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"a-3",
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"a-3",
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"a-3",
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"a-3",
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"a-3",
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"a-3",
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"a-3",
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"a-3",
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"a-3",
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"a-3",
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"a-4",
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"a-4",
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"a-4",
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"a-4",
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"a-4",
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"a-4",
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"a-4",
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"a-4",
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"a-4",
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"a-4",
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"a-5",
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"a-5",
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"a-5",
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"a-5",
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"a-5",
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"a-5",
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"a-5",
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"a-5",
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"a-5",
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"a-5",
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"a-6",
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"a-6",
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"a-6",
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"a-6",
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"a-6",
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"a-6",
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"a-6",
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"a-6",
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"a-6",
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"a-6",
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"a-7",
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"a-7",
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"a-7",
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"a-7",
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"a-7",
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"a-7",
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"a-7",
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"a-7",
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"a-7",
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"a-7",
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"a-8",
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"a-8",
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"a-8",
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"a-8",
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"a-8",
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"a-8",
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"a-8",
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"a-8",
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"a-8",
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"a-8",
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"a-9",
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"a-9",
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"a-9",
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"a-9",
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"a-9",
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"a-9",
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"a-9",
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"a-9",
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"a-9",
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"a-9"
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]
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explain extended select * from t1_json where a between 'a-3a' and 'zzzzzzzzz';
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 60.87 Using where
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Warnings:
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Note 1003 select `test`.`t1_json`.`a` AS `a` from `test`.`t1_json` where `test`.`t1_json`.`a` between 'a-3a' and 'zzzzzzzzz'
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analyze select * from t1_json where a between 'a-3a' and 'zzzzzzzzz';
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id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
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1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 10.00 60.87 60.00 Using where
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create table users (
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city varchar(100)
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);
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set histogram_size=50;
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insert into users select 'Moscow' from seq_1_to_99;
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insert into users select 'Helsinki' from seq_1_to_2;
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set histogram_type=json;
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analyze table users persistent for all;
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Table Op Msg_type Msg_text
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test.users analyze status Engine-independent statistics collected
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test.users analyze status OK
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explain extended select * from users where city = 'Moscow';
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE users ALL NULL NULL NULL NULL 101 98.04 Using where
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Warnings:
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Note 1003 select `test`.`users`.`city` AS `city` from `test`.`users` where `test`.`users`.`city` = 'Moscow'
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analyze select * from users where city = 'Moscow';
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id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
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1 SIMPLE users ALL NULL NULL NULL NULL 101 101.00 98.04 98.02 Using where
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explain extended select * from users where city = 'Helsinki';
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE users ALL NULL NULL NULL NULL 101 50.00 Using where
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Warnings:
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Note 1003 select `test`.`users`.`city` AS `city` from `test`.`users` where `test`.`users`.`city` = 'Helsinki'
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analyze select * from users where city = 'helsinki';
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id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
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1 SIMPLE users ALL NULL NULL NULL NULL 101 101.00 50.00 1.98 Using where
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drop table t1_bin;
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drop table t1_json;
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drop table users;
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CREATE TABLE t1 (
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a int NOT NULL PRIMARY KEY,
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b varchar(32),
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@@ -252,6 +421,10 @@ Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b`,`test`.`t1`.`c` A
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analyze select * from t1 where a between '20' and '70';
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id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
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1 SIMPLE t1 ALL PRIMARY NULL NULL NULL 40 40.00 57.50 57.50 Using where
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UPDATE mysql.column_stats SET histogram='["1", {"a": "b"}, "2"]' WHERE table_name='t1';
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FLUSH TABLES;
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explain extended select * from t1 where a between '20' and '70';
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ERROR HY000: Failed to parse histogram, encountered JSON_TYPE '1'.
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DELETE FROM mysql.column_stats;
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DROP TABLE t1;
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create schema world;
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