MySQL 如何从MySQL的varchar列中仅选择非数字值

您需要使用REGEXP。语法如下：

SELECT *FROM yourTableName WHERE yourColumnName REGEXP '[a-zA-Z]';

为了理解概念，让我们创建一个表。创建表的查询如下：

mysql> create table SelectNonNumericValue
     -> (
     -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,
     -> UserId varchar(100)
     -> );
Query OK, 0 rows affected (0.58 sec)

使用insert命令在表中插入一些记录。查询如下：

mysql> insert into SelectNonNumericValue(UserId) values('123John');
Query OK, 1 row affected (0.12 sec)
mysql> insert into SelectNonNumericValue(UserId) values('58475Carol98457Taylor24');
Query OK, 1 row affected (0.52 sec)
mysql> insert into SelectNonNumericValue(UserId) values('199575Sam124');
Query OK, 1 row affected (0.14 sec)
mysql> insert into SelectNonNumericValue(UserId) values('Mike2456');
Query OK, 1 row affected (0.14 sec)
mysql> insert into SelectNonNumericValue(UserId) values('1000');
Query OK, 1 row affected (0.12 sec)
mysql> insert into SelectNonNumericValue(UserId) values('1001');
Query OK, 1 row affected (0.21 sec)
mysql> insert into SelectNonNumericValue(UserId) values('10293Bob');
Query OK, 1 row affected (0.13 sec)
mysql> insert into SelectNonNumericValue(UserId) values('David');
Query OK, 1 row affected (0.30 sec)
mysql> insert into SelectNonNumericValue(UserId) values('2456');
Query OK, 1 row affected (0.15 sec)

使用select语句显示表中的所有记录。查询如下：

mysql> select *from SelectNonNumericValue;

以下是输出结果：

+----+-------------------------+
| Id | UserId                  |
+----+-------------------------+
| 1 | 123John                  |
| 2 | 58475Carol98457Taylor24  |
| 3 | 199575Sam124             |
| 4 | Mike2456                 |
| 5 | 1000                     |
| 6 | 1001                     |
| 7 | 10293Bob                 |
| 8 | David                    |
| 9 | 2456                     |
+----+-------------------------+
9 rows in set (0.00 sec)

以下是选择非数字值的查询：

mysql> select *from SelectNonNumericValue WHERE UserId REGEXP '[a-zA-Z]';

以下输出会忽略数值：

+----+-------------------------+
| Id | UserId                  |
+----+-------------------------+
| 1 | 123John                  |
| 2 | 58475Carol98457Taylor24  |
| 3 | 199575Sam124             |
| 4 | Mike2456                 |
| 7 | 10293Bob                 |
| 8 | David                    |
+----+-------------------------+
6 rows in set (0.00 sec)

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