也议MySQL中隐式转换_MySQL

1. 环境说明

blog地址：http://blog.gaodaima.com/hw_libo/article/details/39252427

RHEL 6.4 x86_64 + MySQL 5.6.19

测试表：

MySQL [test]> show create table emp\G*************************** 1. row ***************************       Table: empCreate Table: CREATE TABLE `emp` (  `EMPNO` int(11) NOT NULL,  `ENAME` varchar(15) NOT NULL,  `JOB` varchar(15) NOT NULL,  `MGR` int(11) DEFAULT '0',  `HIREDATE` timestamp NULL DEFAULT NULL,  `SAL` int(20) DEFAULT '0',  `COMM` int(11) DEFAULT '0',  `DEPTNO` int(11) NOT NULL,  PRIMARY KEY (`EMPNO`),  KEY `idx_deptno` (`DEPTNO`),  KEY `idx_sal` (`SAL`),  KEY `idx_comm` (`COMM`),  KEY `idx_ename` (`ENAME`)) ENGINE=InnoDB DEFAULT CHARSET=utf81 row in set (0.00 sec)

MySQL [test]> select * from emp;+-------+--------+-----------+------+---------------------+------+------+--------+| EMPNO | ENAME  | JOB       | MGR  | HIREDATE            | SAL  | COMM | DEPTNO |+-------+--------+-----------+------+---------------------+------+------+--------+|  7369 | SMITH  | CLERK     | 7902 | 1980-12-17 00:00:00 |  800 | NULL |     20 ||  7499 | ALLEN  | SALESMAN  | 7698 | 1981-02-20 00:00:00 | 1600 |  300 |     30 ||  7521 | WARD   | SALESMAN  | 7698 | 1981-02-22 00:00:00 | 1250 |  500 |     30 ||  7566 | JONES  | MANAGER   | 7839 | 1981-04-02 00:00:00 | 2975 |    0 |     20 ||  7654 | MARTIN | SALESMAN  | 7698 | 1981-09-28 00:00:00 | 1250 | 1400 |     30 ||  7698 | BLAKE  | MANAGER   | 7839 | 1981-05-01 00:00:00 | 2850 |    0 |     30 ||  7782 | CLARK  | MANAGER   | 7839 | 1981-06-09 00:00:00 | 2450 |    0 |     10 ||  7788 | SCOTT  | ANALYST   | 7566 | 1987-04-19 00:00:00 | 3000 | NULL |     20 ||  7839 | KING   | PRESIDENT |    0 | 1981-11-17 00:00:00 | 5000 |    0 |     10 ||  7844 | TURNER | SALESMAN  | 7698 | 1981-09-08 00:00:00 | 1500 |    0 |     30 ||  7876 | ADAMS  | CLERK     | 7788 | 1987-05-23 00:00:00 | 1100 |    0 |     20 ||  7900 | JAMES  | CLERK     | 7698 | 1981-12-03 00:00:00 |  950 |    0 |     30 ||  7902 | FORD   | ANALYST   | 7566 | 1981-12-03 00:00:00 | 3000 |    0 |     20 ||  7934 | MILLER | CLERK     | 7782 | 1982-01-23 00:00:00 | 1300 |    0 |     10 ||  7936 | 23456  | BOSCO-DBA | 7788 | 2014-09-13 16:13:56 | 2450 |  800 |     10 |+-------+--------+-----------+------+---------------------+------+------+--------+15 rows in set (0.00 sec)

2. 数值类型（int）

首先提个问题，如上测试表emp中empno是主键，类型为int，那么：

select * from emp where empno='7788';

会产生隐式转换吗？

下面实验证明：

MySQL [test]> select * from emp where empno=7788;+-------+-------+---------+------+---------------------+------+------+--------+| EMPNO | ENAME | JOB     | MGR  | HIREDATE            | SAL  | COMM | DEPTNO |+-------+-------+---------+------+---------------------+------+------+--------+|  7788 | SCOTT | ANALYST | 7566 | 1987-04-19 00:00:00 | 3000 | NULL |     20 |+-------+-------+---------+------+---------------------+------+------+--------+1 row in set (0.00 sec)MySQL [test]> explain select * from emp where empno=7788;+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+| id | select_type | table | type  | possible_keys | key     | key_len | ref   | rows | Extra |+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+|  1 | SIMPLE      | emp   | const | PRIMARY       | PRIMARY | 4       | const |    1 | NULL  |+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+1 row in set (0.00 sec)MySQL [test]> select * from emp where empno='7788';+-------+-------+---------+------+---------------------+------+------+--------+| EMPNO | ENAME | JOB     | MGR  | HIREDATE            | SAL  | COMM | DEPTNO |+-------+-------+---------+------+---------------------+------+------+--------+|  7788 | SCOTT | ANALYST | 7566 | 1987-04-19 00:00:00 | 3000 | NULL |     20 |+-------+-------+---------+------+---------------------+------+------+--------+1 row in set (0.00 sec)MySQL [test]> explain select * from emp where empno='7788';+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+| id | select_type | table | type  | possible_keys | key     | key_len | ref   | rows | Extra |+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+|  1 | SIMPLE      | emp   | const | PRIMARY       | PRIMARY | 4       | const |    1 | NULL  |+----+-------------+-------+-------+---------------+---------+---------+-------+------+-------+1 row in set (0.00 sec)

可见，针对数据类型字段，即使类型不一致，并不影响是否使用索引，执行计划是一样的，不会产生隐式转换。但仍然建议在生产库中尽量避免出现这样的SQL。

注意：

数值类型有一种隐式转换，如果以数字开关的，后面的字符将被截断，只取前面的数字值，如果不以数字开关的将被置为0。如下：

MySQL [test]> select * from emp where empno='7788ab12';   ## 这个就相当于empno=7788，后面的ab12将被截断，并且不影响索引的使用+-------+-------+---------+------+---------------------+------+------+--------+| EMPNO | ENAME | JOB     | MGR  | HIREDATE            | SAL  | COMM | DEPTNO |+-------+-------+---------+------+---------------------+------+------+--------+|  7788 | SCOTT | ANALYST | 7566 | 1987-04-19 00:00:00 | 3000 | NULL |     20 |+-------+-------+---------+------+---------------------+------+------+--------+1 row in set, 1 warning (0.00 sec)MySQL [test]> show warnings;+---------+------+----------------------------------------------+| Level   | Code | Message                                      |+---------+------+----------------------------------------------+| Warning | 1292 | Truncated incorrect DOUBLE value: '7788ab12' |+---------+------+-------------------------------<b style="color:transparent">本文来源gao@!dai!ma.com搞$$代^@码网*</b>---------------+1 row in set (0.00 sec)MySQL [test]> select * from emp where empno='ab7788';   ## 这个就相当于empno=0Empty set (0.01 sec)

3. 字符类型（varchar）

同样，针对测试表emp中的ename字段（varchar类型），上面有一辅助索引idx_ename，并且ename中有一个值是全数字的，若有这样的查询：

select * from emp where ename=23456;

上面的SQL会不会出现隐式转换呢？

下面实验证明：

MySQL [test]> select * from emp where ename='23456';+-------+-------+-----------+------+---------------------+------+------+--------+| EMPNO | ENAME | JOB       | MGR  | HIREDATE            | SAL  | COMM | DEPTNO |+-------+-------+-----------+------+---------------------+------+------+--------+|  7936 | 23456 | BOSCO-DBA | 7788 | 2014-09-13 16:13:56 | 2450 |  800 |     10 |+-------+-------+-----------+------+---------------------+------+------+--------+1 row in set (0.00 sec)MySQL [test]> explain select * from emp where ename='23456';   ## 正常来说，可以使用到索引idx_ename+----+-------------+-------+------+---------------+-----------+---------+-------+------+-----------------------+| id | select_type | table | type | possible_keys | key       | key_len | ref   | rows | Extra                 |+----+-------------+-------+------+---------------+-----------+---------+-------+------+-----------------------+|  1 | SIMPLE      | emp   | ref  | idx_ename     | idx_ename | 47      | const |    1 | Using index condition |+----+-------------+-------+------+---------------+-----------+---------+-------+------+-----------------------+1 row in set (0.00 sec)

MySQL [test]> select * from emp where ename=23456;   ## 当varchar类型不对时，仍然是可以查出结果+-------+-------+-----------+------+---------------------+------+------+--------+| EMPNO | ENAME | JOB       | MGR  | HIREDATE            | SAL  | COMM | DEPTNO |+-------+-------+-----------+------+---------------------+------+------+--------+|  7936 | 23456 | BOSCO-DBA | 7788 | 2014-09-13 16:13:56 | 2450 |  800 |     10 |+-------+-------+-----------+------+---------------------+------+------+--------+1 row in set, 14 warnings (0.00 sec)MySQL [test]> explain select * from emp where ename=23456;   ## 当varchar类型不匹配时，索引无效了，选择了全表扫描+----+-------------+-------+------+---------------+------+---------+------+------+-------------+| id | select_type | table | type | possible_keys | key  | key_len | ref  | rows | Extra       |+----+-------------+-------+------+---------------+------+---------+------+------+-------------+|  1 | SIMPLE      | emp   | ALL  | idx_ename     | NULL | NULL    | NULL |   15 | Using where |+----+-------------+-------+------+---------------+------+---------+------+------+-------------+1 row in set (0.00 sec)

可见，如果是字符类型，当出现类型不一致时，是会影响索引的使用的，会产生隐式转换的。

blog地址：http://blog.gaodaima.com/hw_libo/article/details/39252427

— Bosco QQ：375612082

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