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Backfill json histogram bounds during building

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Signed-off-by: Michael Okoko <okokomichaels@outlook.com>
This commit is contained in:
Michael Okoko
2021-08-21 00:50:55 +01:00
committed by Sergei Petrunia
parent 3d952cd8bd
commit e10d99ce87
6 changed files with 480 additions and 43 deletions
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38
mysql-test/main/st_play.result Normal file
View File

@@ -0,0 +1,38 @@
create table users (
city varchar(100)
);
insert into users select 'Moscow' from seq_1_to_99;
insert into users select 'Helsinki' from seq_1_to_2;
analyze table users persistent for all;
Table Op Msg_type Msg_text
test.users analyze status Engine-independent statistics collected
test.users analyze status OK
select hex(histogram) from mysql.column_stats where table_name='users';
hex(histogram)
00000000FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF
explain extended select * from users where city = 'Moscow';
id select_type table type possible_keys key key_len ref rows filtered Extra
1 SIMPLE users ALL NULL NULL NULL NULL 101 97.66 Using where
Warnings:
Note 1003 select `test`.`users`.`city` AS `city` from `test`.`users` where `test`.`users`.`city` = 'Moscow'
analyze select * from users where city = 'Moscow';
id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
1 SIMPLE users ALL NULL NULL NULL NULL 101 101.00 97.66 98.02 Using where
delete from mysql.column_stats where table_name='users';
set histogram_type=json;
set histogram_size=10;
analyze table users persistent for all;
Table Op Msg_type Msg_text
test.users analyze status Engine-independent statistics collected
test.users analyze status Table is already up to date
select histogram from mysql.column_stats where table_name='users';
histogram
[]
explain extended select * from users where city = 'Moscow';
id select_type table type possible_keys key key_len ref rows filtered Extra
1 SIMPLE users ALL NULL NULL NULL NULL 101 50.00 Using where
Warnings:
Note 1003 select `test`.`users`.`city` AS `city` from `test`.`users` where `test`.`users`.`city` = 'Moscow'
analyze select * from users where city = 'Moscow';
id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
1 SIMPLE users ALL NULL NULL NULL NULL 101 101.00 50.00 98.02 Using where

21
mysql-test/main/st_play.test Normal file
View File

@@ -0,0 +1,21 @@
--source include/have_sequence.inc
create table users (
city varchar(100)
);
insert into users select 'Moscow' from seq_1_to_99;
insert into users select 'Helsinki' from seq_1_to_2;
analyze table users persistent for all;
select hex(histogram) from mysql.column_stats where table_name='users';
explain extended select * from users where city = 'Moscow';
analyze select * from users where city = 'Moscow';
delete from mysql.column_stats where table_name='users';
set histogram_type=json;
set histogram_size=10;
analyze table users persistent for all;
select histogram from mysql.column_stats where table_name='users';
explain extended select * from users where city = 'Moscow';
analyze select * from users where city = 'Moscow';

278
mysql-test/main/statistics_fetch.result
View File

@@ -8,22 +8,22 @@ create table ten(a int primary key);
insert into ten values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9); insert into ten values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t1_bin (a varchar(255)); create table t1_bin (a varchar(255));
insert into t1_bin select concat('a-', a) from ten; insert into t1_bin select concat('a-', a) from ten;
set histogram_size=10; set histogram_size=100;
analyze table t1_bin persistent for all; analyze table t1_bin persistent for all;
Table Op Msg_type Msg_text Table Op Msg_type Msg_text
test.t1_bin analyze status Engine-independent statistics collected test.t1_bin analyze status Engine-independent statistics collected
test.t1_bin analyze status OK test.t1_bin analyze status OK
select hex(histogram) from mysql.column_stats where table_name='t1_bin'; select hex(histogram) from mysql.column_stats where table_name='t1_bin';
hex(histogram) hex(histogram)
711C5555388EAAAA8DE3 00000000000000000000711C711C711C711C711CE338E338E338E338E33855555555555555555555C671C671C671C671C671388E388E388E388E388EAAAAAAAAAAAAAAAAAAAA1BC71BC71BC71BC71BC78DE38DE38DE38DE38DE3FFFFFFFFFFFFFFFFFFFF
explain extended select * from t1_bin where a between 'a-3a' and 'zzzzzzzzz'; 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 id select_type table type possible_keys key key_len ref rows filtered Extra
1 SIMPLE t1_bin ALL NULL NULL NULL NULL 10 50.00 Using where 1 SIMPLE t1_bin ALL NULL NULL NULL NULL 10 58.82 Using where
Warnings: Warnings:
Note 1003 select `test`.`t1_bin`.`a` AS `a` from `test`.`t1_bin` where `test`.`t1_bin`.`a` between 'a-3a' and 'zzzzzzzzz' 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'; 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 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 50.00 60.00 Using where 1 SIMPLE t1_bin ALL NULL NULL NULL NULL 10 10.00 58.82 60.00 Using where
create table t1_json (a varchar(255)); create table t1_json (a varchar(255));
insert into t1_json select concat('a-', a) from ten; insert into t1_json select concat('a-', a) from ten;
set histogram_type=json; set histogram_type=json;
@@ -33,26 +33,116 @@ test.t1_json analyze status Engine-independent statistics collected
test.t1_json analyze status OK test.t1_json analyze status OK
select * from mysql.column_stats where table_name='t1_json'; 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 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 [ test t1_json a a-0 a-9 0.0000 3.0000 1.0000 100 JSON [
"a-0",
"a-0",
"a-0",
"a-0",
"a-0",
"a-0",
"a-0",
"a-0",
"a-0",
"a-0", "a-0",
"a-1", "a-1",
"a-1",
"a-1",
"a-1",
"a-1",
"a-1",
"a-1",
"a-1",
"a-1",
"a-1",
"a-2",
"a-2",
"a-2",
"a-2",
"a-2",
"a-2",
"a-2",
"a-2",
"a-2",
"a-2", "a-2",
"a-3", "a-3",
"a-3",
"a-3",
"a-3",
"a-3",
"a-3",
"a-3",
"a-3",
"a-3",
"a-3",
"a-4",
"a-4",
"a-4",
"a-4",
"a-4",
"a-4",
"a-4",
"a-4",
"a-4",
"a-4", "a-4",
"a-5", "a-5",
"a-5",
"a-5",
"a-5",
"a-5",
"a-5",
"a-5",
"a-5",
"a-5",
"a-5",
"a-6",
"a-6",
"a-6",
"a-6",
"a-6",
"a-6",
"a-6",
"a-6",
"a-6",
"a-6", "a-6",
"a-7", "a-7",
"a-7",
"a-7",
"a-7",
"a-7",
"a-7",
"a-7",
"a-7",
"a-7",
"a-7",
"a-8", "a-8",
"a-8",
"a-8",
"a-8",
"a-8",
"a-8",
"a-8",
"a-8",
"a-8",
"a-8",
"a-9",
"a-9",
"a-9",
"a-9",
"a-9",
"a-9",
"a-9",
"a-9",
"a-9",
"a-9" "a-9"
] ]
explain extended select * from t1_json where a between 'a-3a' and 'zzzzzzzzz'; 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 id select_type table type possible_keys key key_len ref rows filtered Extra
1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 68.71 Using where 1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 60.87 Using where
Warnings: Warnings:
Note 1003 select `test`.`t1_json`.`a` AS `a` from `test`.`t1_json` where `test`.`t1_json`.`a` between 'a-3a' and 'zzzzzzzzz' 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'; 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 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 68.71 60.00 Using where 1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 10.00 60.87 60.00 Using where
create table t2_bin(a int); create table t2_bin(a int);
insert into t2_bin select a*10 from ten; insert into t2_bin select a*10 from ten;
set histogram_type=@save_histogram_type; set histogram_type=@save_histogram_type;
@@ -62,12 +152,12 @@ test.t2_bin analyze status Engine-independent statistics collected
test.t2_bin analyze status OK test.t2_bin analyze status OK
explain extended select * from t2_bin where a between '44' and '55'; explain extended select * from t2_bin where a between '44' and '55';
id select_type table type possible_keys key key_len ref rows filtered Extra id select_type table type possible_keys key key_len ref rows filtered Extra
1 SIMPLE t2_bin ALL NULL NULL NULL NULL 10 33.33 Using where 1 SIMPLE t2_bin ALL NULL NULL NULL NULL 10 11.76 Using where
Warnings: Warnings:
Note 1003 select `test`.`t2_bin`.`a` AS `a` from `test`.`t2_bin` where `test`.`t2_bin`.`a` between '44' and '55' Note 1003 select `test`.`t2_bin`.`a` AS `a` from `test`.`t2_bin` where `test`.`t2_bin`.`a` between '44' and '55'
analyze select * from t2_bin where a between '44' and '55'; analyze select * from t2_bin where a between '44' and '55';
id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
1 SIMPLE t2_bin ALL NULL NULL NULL NULL 10 10.00 33.33 10.00 Using where 1 SIMPLE t2_bin ALL NULL NULL NULL NULL 10 10.00 11.76 10.00 Using where
create table t2_json(a int); create table t2_json(a int);
insert into t2_json select a*10 from ten; insert into t2_json select a*10 from ten;
set histogram_type=json; set histogram_type=json;
@@ -77,27 +167,191 @@ test.t2_json analyze status Engine-independent statistics collected
test.t2_json analyze status OK test.t2_json analyze status OK
select * from mysql.column_stats where table_name='t2_json'; select * from mysql.column_stats where table_name='t2_json';
db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram db_name table_name column_name min_value max_value nulls_ratio avg_length avg_frequency hist_size hist_type histogram
test t2_json a 0 90 0.0000 4.0000 1.0000 10 JSON [ test t2_json a 0 90 0.0000 4.0000 1.0000 100 JSON [
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0", "0",
"10", "10",
"10",
"10",
"10",
"10",
"10",
"10",
"10",
"10",
"10",
"20",
"20",
"20",
"20",
"20",
"20",
"20",
"20",
"20",
"20", "20",
"30", "30",
"30",
"30",
"30",
"30",
"30",
"30",
"30",
"30",
"30",
"40",
"40",
"40",
"40",
"40",
"40",
"40",
"40",
"40",
"40", "40",
"50", "50",
"50",
"50",
"50",
"50",
"50",
"50",
"50",
"50",
"50",
"60",
"60",
"60",
"60",
"60",
"60",
"60",
"60",
"60",
"60", "60",
"70", "70",
"70",
"70",
"70",
"70",
"70",
"70",
"70",
"70",
"70",
"80", "80",
"80",
"80",
"80",
"80",
"80",
"80",
"80",
"80",
"80",
"90",
"90",
"90",
"90",
"90",
"90",
"90",
"90",
"90",
"90" "90"
] ]
explain extended select * from t2_json where a between '44' and '55'; explain extended select * from t2_json where a between '44' and '55';
id select_type table type possible_keys key key_len ref rows filtered Extra id select_type table type possible_keys key key_len ref rows filtered Extra
1 SIMPLE t2_json ALL NULL NULL NULL NULL 10 11.00 Using where 1 SIMPLE t2_json ALL NULL NULL NULL NULL 10 10.10 Using where
Warnings: Warnings:
Note 1003 select `test`.`t2_json`.`a` AS `a` from `test`.`t2_json` where `test`.`t2_json`.`a` between '44' and '55' Note 1003 select `test`.`t2_json`.`a` AS `a` from `test`.`t2_json` where `test`.`t2_json`.`a` between '44' and '55'
analyze select * from t2_json where a between '44' and '55'; analyze select * from t2_json where a between '44' and '55';
id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
1 SIMPLE t2_json ALL NULL NULL NULL NULL 10 10.00 11.00 10.00 Using where 1 SIMPLE t2_json ALL NULL NULL NULL NULL 10 10.00 10.10 10.00 Using where
create table users (
city varchar(100)
);
set histogram_size=50;
insert into users select 'Moscow' from seq_1_to_99;
insert into users select 'Helsinki' from seq_1_to_2;
set histogram_type=json;
analyze table users persistent for all;
Table Op Msg_type Msg_text
test.users analyze status Engine-independent statistics collected
test.users analyze status OK
select histogram from mysql.column_stats where table_name='users';
histogram
[
"Helsinki",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow",
"Moscow"
]
explain extended select * from users where city <= 'Moscow';
id select_type table type possible_keys key key_len ref rows filtered Extra
1 SIMPLE users ALL NULL NULL NULL NULL 101 100.00 Using where
Warnings:
Note 1003 select `test`.`users`.`city` AS `city` from `test`.`users` where `test`.`users`.`city` <= 'Moscow'
analyze select * from users where city <= 'Moscow';
id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
1 SIMPLE users ALL NULL NULL NULL NULL 101 101.00 100.00 100.00 Using where
drop table t1_bin; drop table t1_bin;
drop table t1_json; drop table t1_json;
drop table t2_bin; drop table t2_bin;
drop table t2_json; drop table t2_json;
drop table users;

17
mysql-test/main/statistics_fetch.test
View File

@@ -12,7 +12,7 @@ insert into ten values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t1_bin (a varchar(255)); create table t1_bin (a varchar(255));
insert into t1_bin select concat('a-', a) from ten; insert into t1_bin select concat('a-', a) from ten;
set histogram_size=10; set histogram_size=100;
analyze table t1_bin persistent for all; analyze table t1_bin persistent for all;
select hex(histogram) from mysql.column_stats where table_name='t1_bin'; 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'; explain extended select * from t1_bin where a between 'a-3a' and 'zzzzzzzzz';
@@ -42,8 +42,23 @@ select * from mysql.column_stats where table_name='t2_json';
explain extended select * from t2_json where a between '44' and '55'; explain extended select * from t2_json where a between '44' and '55';
analyze select * from t2_json where a between '44' and '55'; analyze select * from t2_json where a between '44' and '55';
--source include/have_sequence.inc
create table users (
city varchar(100)
);
set histogram_size=50;
insert into users select 'Moscow' from seq_1_to_99;
insert into users select 'Helsinki' from seq_1_to_2;
set histogram_type=json;
analyze table users persistent for all;
select histogram from mysql.column_stats where table_name='users';
explain extended select * from users where city <= 'Moscow';
analyze select * from users where city <= 'Moscow';
drop table t1_bin; drop table t1_bin;
drop table t1_json; drop table t1_json;
drop table t2_bin; drop table t2_bin;
drop table t2_json; drop table t2_json;
drop table users;

159
mysql-test/main/statistics_json.result
View File

@@ -95,38 +95,139 @@ test t1 a 0 49 0.0000 4.0000 1.0000 25 JSON [
"44", "44",
"47" "47"
] ]
test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 5 JSON [ test t1 b vvvvvvvvvvvvv zzzzzzzzzzzzzzzzzz 0.2000 17.1250 6.4000 25 JSON [
"vvvvvvvvvvvvv",
"vvvvvvvvvvvvv",
"vvvvvvvvvvvvv",
"vvvvvvvvvvvvv",
"vvvvvvvvvvvvv",
"vvvvvvvvvvvvv", "vvvvvvvvvvvvv",
"wwwwwwwwwwwwwwwwwwwwwwwwwwww", "wwwwwwwwwwwwwwwwwwwwwwwwwwww",
"wwwwwwwwwwwwwwwwwwwwwwwwwwww",
"wwwwwwwwwwwwwwwwwwwwwwwwwwww",
"wwwwwwwwwwwwwwwwwwwwwwwwwwww",
"wwwwwwwwwwwwwwwwwwwwwwwwwwww",
"wwwwwwwwwwwwwwwwwwwwwwwwwwww",
"xxxxxxxxxxxxxxxxxxxxxxxxxx",
"xxxxxxxxxxxxxxxxxxxxxxxxxx",
"xxxxxxxxxxxxxxxxxxxxxxxxxx", "xxxxxxxxxxxxxxxxxxxxxxxxxx",
"yyy", "yyy",
"yyy",
"yyy",
"yyy",
"yyy",
"zzzzzzzzzzzzzzzzzz",
"zzzzzzzzzzzzzzzzzz",
"zzzzzzzzzzzzzzzzzz",
"zzzzzzzzzzzzzzzzzz",
"zzzzzzzzzzzzzzzzzz" "zzzzzzzzzzzzzzzzzz"
] ]
test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 5 JSON [ test t1 c aaaa dddddddd 0.1250 6.6571 7.0000 25 JSON [
"aaaa",
"aaaa",
"aaaa",
"aaaa",
"aaaa",
"aaaa", "aaaa",
"bbb", "bbb",
"bbbbbb", "bbbbbb",
"bbbbbb",
"bbbbbb",
"bbbbbb",
"bbbbbb",
"ccccccccc", "ccccccccc",
"ccccccccc",
"ccccccccc",
"ccccccccc",
"ccccccccc",
"ccccccccc",
"dddddddd",
"dddddddd",
"dddddddd",
"dddddddd",
"dddddddd",
"dddddddd",
"dddddddd" "dddddddd"
] ]
test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 4 JSON [ test t1 d 1989-03-12 1999-07-23 0.1500 3.0000 8.5000 25 JSON [
"1989-03-12",
"1989-03-12",
"1989-03-12",
"1989-03-12",
"1989-03-12",
"1989-03-12",
"1989-03-12",
"1989-03-12", "1989-03-12",
"1990-05-15", "1990-05-15",
"1998-08-28", "1990-05-15",
"1990-05-15",
"1990-05-15",
"1990-05-15",
"1990-05-15",
"1990-05-15",
"1990-05-15",
"1990-05-15",
"1990-05-15",
"1990-05-15",
"1999-07-23",
"1999-07-23",
"1999-07-23",
"1999-07-23",
"1999-07-23",
"1999-07-23" "1999-07-23"
] ]
test t1 e 0.01 0.112 0.2250 8.0000 6.2000 5 JSON [ test t1 e 0.01 0.112 0.2250 8.0000 6.2000 25 JSON [
"0.01",
"0.01",
"0.01",
"0.01",
"0.01",
"0.01",
"0.01",
"0.01",
"0.01",
"0.01", "0.01",
"0.012", "0.012",
"0.05", "0.05",
"0.05",
"0.05",
"0.05",
"0.1", "0.1",
"0.1",
"0.1",
"0.1",
"0.1",
"0.1",
"0.1",
"0.112",
"0.112",
"0.112" "0.112"
] ]
test t1 f 1 5 0.2000 1.0000 6.4000 5 JSON [ test t1 f 1 5 0.2000 1.0000 6.4000 25 JSON [
"",
"",
"", "",
"", "",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"", "",
"", "",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"" ""
] ]
SELECT * FROM mysql.index_stats; SELECT * FROM mysql.index_stats;
@@ -528,14 +629,14 @@ Country ABW ZWE 50 JSON [
"ARM", "ARM",
"BHS", "BHS",
"BRA", "BRA",
"BRB", "BRA",
"BRN", "BRA",
"CAN", "CAN",
"CHN", "CHN",
"CIV", "CHN",
"CMR", "CHN",
"COD", "CHN",
"COG", "CHN",
"COL", "COL",
"DEU", "DEU",
"DZA", "DZA",
@@ -543,20 +644,20 @@ Country ABW ZWE 50 JSON [
"FRA", "FRA",
"GBR", "GBR",
"IDN", "IDN",
"IDN",
"IND",
"IND",
"IND",
"IND", "IND",
"IRL",
"IRN", "IRN",
"IRQ",
"ISL",
"ISR",
"ITA", "ITA",
"JPN", "JPN",
"KAZ", "JPN",
"KEN", "JPN",
"KOR", "KOR",
"LKA", "LKA",
"MEX", "MEX",
"MHL", "MEX",
"MMR", "MMR",
"NGA", "NGA",
"NZL", "NZL",
@@ -565,15 +666,15 @@ Country ABW ZWE 50 JSON [
"POL", "POL",
"QAT", "QAT",
"RUS", "RUS",
"RWA", "RUS",
"SAU", "SAU",
"TCD", "TCD",
"TUR", "TUR",
"UKR", "UKR",
"USA", "USA",
"UZB", "USA",
"VAT", "USA",
"VCT", "USA",
"VNM" "VNM"
] ]
Population 42 10500000 50 JSON [ Population 42 10500000 50 JSON [
@@ -694,10 +795,10 @@ Language Abhyasi [South]Mande 50 JSON [
"Danish", "Danish",
"Embera", "Embera",
"English", "English",
"Eskimo Languages", "English",
"Estonian", "English",
"French",
"French", "French",
"Fries",
"Futuna", "Futuna",
"German", "German",
"Greek", "Greek",
@@ -724,7 +825,7 @@ Language Abhyasi [South]Mande 50 JSON [
"Shona", "Shona",
"Songhai", "Songhai",
"Spanish", "Spanish",
"Sranantonga", "Spanish",
"Tamashek", "Tamashek",
"Thai", "Thai",
"Tswana", "Tswana",
@@ -733,6 +834,8 @@ Language Abhyasi [South]Mande 50 JSON [
"Wolea" "Wolea"
] ]
Percentage 0.0 99.9 50 JSON [ Percentage 0.0 99.9 50 JSON [
"0.0",
"0.0",
"0.0", "0.0",
"0.1", "0.1",
"0.2", "0.2",
@@ -742,8 +845,6 @@ Percentage 0.0 99.9 50 JSON [
"0.6", "0.6",
"0.7", "0.7",
"0.8", "0.8",
"0.9",
"1.0",
"1.1", "1.1",
"1.3", "1.3",
"1.4", "1.4",

10
sql/sql_statistics.cc
View File

@@ -1988,8 +1988,16 @@ public:
column->store_field_value((uchar *) elem, col_length); column->store_field_value((uchar *) elem, col_length);
StringBuffer<MAX_FIELD_WIDTH> val; StringBuffer<MAX_FIELD_WIDTH> val;
column->val_str(&val); column->val_str(&val);
bucket_bounds.emplace_back(val.c_ptr()); auto it = bucket_bounds.begin();
bucket_bounds.insert(it+curr_bucket, val.c_ptr());
curr_bucket++; curr_bucket++;
while (curr_bucket != hist_width &&
count > bucket_capacity * (curr_bucket + 1))
{
auto it = bucket_bounds.begin();
bucket_bounds.insert(it+curr_bucket, bucket_bounds[curr_bucket-1]);
curr_bucket++;
}
} }
return 0; return 0;
} }