前言
不管是Oracle還是MySQL，新版本推出的新特性，一方面給產(chǎn)品帶來功能、性能、用戶體驗(yàn)等方面的提升，另一方面也可能會帶來一些問題，如代碼bug、客戶使用方法不正確引發(fā)問題等等。
案例分享
MySQL 5.7下的場景
（1）首先，創(chuàng)建兩張表，并插入數(shù)據(jù)
mysql> select version();
+------------+
| version() |
+------------+
| 5.7.30-log |
+------------+
1 row in set (0.00 sec)
mysql> show create table test\G
*************************** 1. row ***************************
Table: test
Create Table: CREATE TABLE `test` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`k` int(10) unsigned NOT NULL DEFAULT '0',
`c` char(120) NOT NULL DEFAULT '',
`pad` char(60) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `k_1` (`k`)
) ENGINE=InnoDB AUTO_INCREMENT=101 DEFAULT CHARSET=utf8mb4 MAX_ROWS=1000000
1 row in set (0.00 sec)
mysql> show create table sbtest1\G
*************************** 1. row ***************************
Table: sbtest1
Create Table: CREATE TABLE `sbtest1` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`k` int(10) unsigned NOT NULL DEFAULT '0',
`c` char(120) NOT NULL DEFAULT '',
`pad` char(60) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `k_1` (`k`)
) ENGINE=InnoDB AUTO_INCREMENT=1000001 DEFAULT CHARSET=utf8mb4 MAX_ROWS=1000000
1 row in set (0.00 sec)
mysql> select count(*) from test;
+----------+
| count(*) |
+----------+
| 100 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from sbtest1;
+----------+
| count(*) |
+----------+
| 1000000 |
+----------+
1 row in set (0.14 sec)
（2）查看兩張表的統(tǒng)計(jì)信息，均比較準(zhǔn)確
mysql> select table_schema,table_name,table_rows from tables where table_name='test';
+--------------+------------+------------+
| table_schema | table_name | table_rows |
+--------------+------------+------------+
| test | test | 100 |
+--------------+------------+------------+
1 row in set (0.00 sec)
mysql> select table_schema,table_name,table_rows from tables where table_name='sbtest1';
+--------------+------------+------------+
| table_schema | table_name | table_rows |
+--------------+------------+------------+
| test | sbtest1 | 947263 |
+--------------+------------+------------+
1 row in set (0.00 sec)
（3）我們持續(xù)往test表插入1000w條記錄，并再次查看統(tǒng)計(jì)信息，還是相對準(zhǔn)確的，因?yàn)樵谀J(rèn)情況下，數(shù)據(jù)變化量超過10%，就會觸發(fā)統(tǒng)計(jì)信息更新
mysql> select count(*) from test;
+----------+
| count(*) |
+----------+
| 10000100 |
+----------+
1 row in set (1.50 sec)
mysql> select table_schema,table_name,table_rows from tables where table_name='test';
+--------------+------------+------------+
| table_schema | table_name | table_rows |
+--------------+------------+------------+
| test | test | 9749036 |
+--------------+------------+------------+
1 row in set (0.00 sec)
MySQL 8.0下的場景
（1）接下來我們看看8.0下的情況吧，同樣地，我們創(chuàng)建兩張表，并插入相同記錄
mysql> select version();
+-----------+
| version() |
+-----------+
| 8.0.20 |
+-----------+
1 row in set (0.00 sec)
mysql> show create table test\G
*************************** 1. row ***************************
Table: test
Create Table: CREATE TABLE `test` (
`id` int unsigned NOT NULL AUTO_INCREMENT,
`k` int unsigned NOT NULL DEFAULT '0',
`c` char(120) NOT NULL DEFAULT '',
`pad` char(60) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `k_1` (`k`)
) ENGINE=InnoDB AUTO_INCREMENT=101 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci MAX_ROWS=1000000
1 row in set (0.00 sec)
mysql> show create table sbtest1\G
*************************** 1. row ***************************
Table: sbtest1
Create Table: CREATE TABLE `sbtest1` (
`id` int unsigned NOT NULL AUTO_INCREMENT,
`k` int unsigned NOT NULL DEFAULT '0',
`c` char(120) NOT NULL DEFAULT '',
`pad` char(60) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `k_1` (`k`)
) ENGINE=InnoDB AUTO_INCREMENT=1000001 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci MAX_ROWS=1000000
1 row in set (0.00 sec)
mysql> select count(*) from test;
+----------+
| count(*) |
+----------+
| 100 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from sbtest1;
+----------+
| count(*) |
+----------+
| 1000000 |
+----------+
1 row in set (0.02 sec)
（2）查看兩張表的統(tǒng)計(jì)信息，均比較準(zhǔn)確
mysql> select table_schema,table_name,table_rows from tables where table_name='test';
+--------------+------------+------------+
| TABLE_SCHEMA | TABLE_NAME | TABLE_ROWS |
+--------------+------------+------------+
| test | test | 100 |
+--------------+------------+------------+
1 row in set (0.00 sec)
mysql> select table_schema,table_name,table_rows from tables where table_name='sbtest1';
+--------------+------------+------------+
| TABLE_SCHEMA | TABLE_NAME | TABLE_ROWS |
+--------------+------------+------------+
| test | sbtest1 | 947468 |
+--------------+------------+------------+
1 row in set (0.01 sec)
（3）同樣地，我們持續(xù)往test表插入1000w條記錄，并再次查看統(tǒng)計(jì)信息，發(fā)現(xiàn)table_rows顯示還是100條，出現(xiàn)了較大偏差
mysql> select count(*) from test;
+----------+
| count(*) |
+----------+
| 10000100 |
+----------+
1 row in set (0.33 sec)
mysql> select table_schema,table_name,table_rows from tables where table_name='test';
+--------------+------------+------------+
| TABLE_SCHEMA | TABLE_NAME | TABLE_ROWS |
+--------------+------------+------------+
| test | test | 100 |
+--------------+------------+------------+
1 row in set (0.00 sec)
原因剖析
那么導(dǎo)致統(tǒng)計(jì)信息不準(zhǔn)確的原因是什么呢？其實(shí)是MySQL 8.0為了提高information_schema的查詢效率，將視圖tables和statistics里面的統(tǒng)計(jì)信息緩存起來，緩存過期時(shí)間由參數(shù)information_schema_stats_expiry決定，默認(rèn)為86400s；如果想獲取最新的統(tǒng)計(jì)信息，可以通過如下兩種方式：
（1）analyze table進(jìn)行表分析
（2）設(shè)置information_schema_stats_expiry=0
繼續(xù)探索
那么統(tǒng)計(jì)信息不準(zhǔn)確，會帶來哪些影響呢？是否會影響執(zhí)行計(jì)劃呢？接下來我們再次進(jìn)行測試
測試1：表test記錄數(shù)100，表sbtest1記錄數(shù)100w
執(zhí)行如下SQL，查看執(zhí)行計(jì)劃，走的是NLJ，小表test作為驅(qū)動表(全表掃描)，大表sbtest1作為被驅(qū)動表(主鍵關(guān)聯(lián))，執(zhí)行效率很快
mysql> select count(*) from test;
+----------+
| count(*) |
+----------+
| 100 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from sbtest1;
+----------+
| count(*) |
+----------+
| 1000000 |
+----------+
1 row in set (0.02 sec)
mysql> select table_schema,table_name,table_rows from tables where table_name='test';
+--------------+------------+------------+
| TABLE_SCHEMA | TABLE_NAME | TABLE_ROWS |
+--------------+------------+------------+
| test | test | 100 |
+--------------+------------+------------+
1 row in set (0.00 sec)
mysql> select table_schema,table_name,table_rows from tables where table_name='sbtest1';
+--------------+------------+------------+
| TABLE_SCHEMA | TABLE_NAME | TABLE_ROWS |
+--------------+------------+------------+
| test | sbtest1 | 947468 |
+--------------+------------+------------+
1 row in set (0.01 sec)
mysql> select t.* from test t inner join sbtest1 t1 on t.id=t1.id where t.c='08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977' and t1.c='08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977';
+----+--------+-------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------+
| id | k | c | pad |
+----+--------+-------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------+
| 1 | 501885 | 08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977 | 63188288836-92351140030-06390587585-66802097351-49282961843 |
+----+--------+-------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------+
1 row in set (0.00 sec)
mysql> explain select t.* from test t inner join sbtest1 t1 on t.id=t1.id where t.c='08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977' and t1.c='08566691963-88624912351-16662227201-4664
+----+-------------+-------+------------+--------+---------------+---------+---------+-----------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+--------+---------------+---------+---------+-----------+------+----------+-------------+
| 1 | SIMPLE | t | NULL | ALL | PRIMARY | NULL | NULL | NULL | 100 | 10.00 | Using where |
| 1 | SIMPLE | t1 | NULL | eq_ref | PRIMARY | PRIMARY | 4 | test.t.id | 1 | 10.00 | Using where |
+----+-------------+-------+------------+--------+---------------+---------+---------+-----------+------+----------+-------------+
2 rows in set, 1 warning (0.00 sec)
測試2：表test記錄數(shù)1000w左右，表sbtest1記錄數(shù)100w
再次執(zhí)行SQL，查看執(zhí)行計(jì)劃，走的也是NLJ，相對小表sbtest1作為驅(qū)動表，大表test作為被驅(qū)動表，也是正確的執(zhí)行計(jì)劃
mysql> select count(*) from test;
+----------+
| count(*) |
+----------+
| 10000100 |
+----------+
1 row in set (0.33 sec)
mysql> select count(*) from sbtest1;
+----------+
| count(*) |
+----------+
| 1000000 |
+----------+
1 row in set (0.02 sec)
mysql> select table_schema,table_name,table_rows from tables where table_name='test';
+--------------+------------+------------+
| TABLE_SCHEMA | TABLE_NAME | TABLE_ROWS |
+--------------+------------+------------+
| test | test | 100 |
+--------------+------------+------------+
1 row in set (0.00 sec)
mysql> select table_schema,table_name,table_rows from tables where table_name='sbtest1';
+--------------+------------+------------+
| TABLE_SCHEMA | TABLE_NAME | TABLE_ROWS |
+--------------+------------+------------+
| test | sbtest1 | 947468 |
+--------------+------------+------------+
1 row in set (0.01 sec)
mysql> select t.* from test t inner join sbtest1 t1 on t.id=t1.id where t.c='08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977' and t1.c='08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977';
+----+--------+-------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------+
| id | k | c | pad |
+----+--------+-------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------+
| 1 | 501885 | 08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977 | 63188288836-92351140030-06390587585-66802097351-49282961843 |
+----+--------+-------------------------------------------------------------------------------------------------------------------------+-------------------------------------------------------------+
1 row in set (0.37 sec)
mysql> explain select t.* from test t inner join sbtest1 t1 on t.id=t1.id where t.c='08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977' and t1.c='08566691963-88624912351-16662227201-46648573979-64646226163-77505759394-75470094713-41097360717-15161106334-50535565977';
+----+-------------+-------+------------+--------+---------------+---------+---------+------------+--------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+--------+---------------+---------+---------+------------+--------+----------+-------------+
| 1 | SIMPLE | t1 | NULL | ALL | PRIMARY | NULL | NULL | NULL | 947468 | 10.00 | Using where |
| 1 | SIMPLE | t | NULL | eq_ref | PRIMARY | PRIMARY | 4 | test.t1.id | 1 | 10.00 | Using where |
+----+-------------+-------+------------+--------+---------------+---------+---------+------------+--------+----------+-------------+
2 rows in set, 1 warning (0.01 sec)
為什么優(yōu)化器沒有選擇錯(cuò)誤的執(zhí)行計(jì)劃呢？之前文章也提過，MySQL 8.0是將元數(shù)據(jù)信息存放在mysql庫下的數(shù)據(jù)字典表里，information_schema庫只是提供相對方便的視圖供用戶查詢，所以優(yōu)化器在選擇執(zhí)行計(jì)劃時(shí)，會從數(shù)據(jù)字典表中獲取統(tǒng)計(jì)信息，生成正確的執(zhí)行計(jì)劃。
總結(jié)
MySQL 8.0為了提高information_schema的查詢效率，會將視圖tables和statistics里面的統(tǒng)計(jì)信息緩存起來，緩存過期時(shí)間由參數(shù)information_schema_stats_expiry決定(建議設(shè)置該參數(shù)值為0)；這可能會導(dǎo)致用戶查詢相應(yīng)視圖時(shí)，無法獲取最新、準(zhǔn)確的統(tǒng)計(jì)信息，但并不會影響執(zhí)行計(jì)劃的選擇。
以上就是MySQL 8.0統(tǒng)計(jì)信息不準(zhǔn)確的原因的詳細(xì)內(nèi)容，更多關(guān)于MySQL 8.0統(tǒng)計(jì)信息不準(zhǔn)確的資料請關(guān)注腳本之家其它相關(guān)文章！
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