MySQL索引使用全程分析 |
本文标签:索引,分析 创建2张用户表user、user2,表结构相同,但user表使用InnoDB存储引擎,而user2表则使用 MyISAM存储引擎 。 复制代码 代码如下: -- Table "user" DDL CREATE TABLE `user` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(50) DEFAULT NULL, `email` varchar(100) DEFAULT NULL, `age` tinyint(4) DEFAULT NULL, `nickname` varchar(50) DEFAULT NULL, PRIMARY KEY (`id`), UNIQUE KEY `email` (`email`), KEY `name` (`name`), KEY `age` (`age`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; -- Table "user2" DDL CREATE TABLE `user2` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(50) DEFAULT NULL, `email` varchar(100) DEFAULT NULL, `age` tinyint(4) DEFAULT NULL, `nickname` varchar(50) DEFAULT NULL, PRIMARY KEY (`id`), UNIQUE KEY `email` (`email`), KEY `name` (`name`), KEY `age` (`age`) ) ENGINE=MyISAM AUTO_INCREMENT=131610 DEFAULT CHARSET=utf8; 分别插入10W条测试数据到表user & user2 。 复制代码 代码如下: <?php $example = array( @qq.com, @sina.com.cn, @163.com, @126.com, @gmail.com, @yahoo.com, @live.com, @msn.com, @cisco.com, @microsoft.com, @ibm.com, @apple.com); $con = mysql_connect("localhost", "root", "your_mysql_password"); mysql_select_db("index_test", $con); //添加10W测试数据到表 user & user2 for($i=0; $i<100000; $i++) { $temp = md5(uniqid()); $name = substr($temp, 0, 16); $email = substr($temp, 8, 12).$example[array_rand($example, 1)]; $age = rand(18, 99); $nickname = substr($temp, 16, 16); mysql_query("INSERT INTO user(name,email,age,nickname) VALUES($name,$email,$age,$nickname)"); mysql_query("INSERT INTO user2(name,email,age,nickname) VALUES($name,$email,$age,$nickname)"); } mysql_close($con); echo success; ?> 对索引的使用分析 Explain Select * from user where id>100 \G; ![]() 图1 Explain Select * from user2 where id>100 \G; ![]() 图2 User 表中的数据和 User2 表中的数据是一样的,索引结构也是一样的,只不过它们的存储引擎不同 。在图1中,查询用到了PRIMARY主键索引,而查询优化器预估的结果大概在65954行左右(实际是131513);在图2中,查询却没有使用索引,而是全表扫描了,返回的预估结果在131608行(实际是131509) 。 Explain Select * from user where id>100 and age>50 \G; ![]() 图3 Explain Select * from user where id>100 and age=50 \G; ![]() 图4 Explain Select * from user2 where id>100 and age>50 \G; ![]() 图5 Explain Select * from user2 where id>100 and age=50 \G; ![]() 图6 |