如果要区分大小写,请使用UPPER()
或LOWER()
。
情况1:使用UPPER()
。
语法如下:
SELECT DISTINCT UPPER(yourColumnName) FROM yourTableName;
情况2:使用LOWER()
。
语法如下:
SELECT DISTINCT LOWER(yourColumnName) FROM yourTableName;
为了理解上述语法,让我们创建一个表。创建表的查询如下:
mysql> create table CaseInsensitiveDistinctDemo -> ( -> Id int NOT NULL AUTO_INCREMENT, -> UserEmailId varchar(30), -> UserPassword varchar(10), -> PRIMARY KEY(Id) -> );
现在,您可以使用insert命令在表中插入一些记录。查询如下:
mysql> insert into CaseInsensitiveDistinctDemo(UserEmailId,UserPassword) values('John@gmail.com','john123'); mysql> insert into CaseInsensitiveDistinctDemo(UserEmailId,UserPassword) values('john@gmail.com','654321'); mysql> insert into CaseInsensitiveDistinctDemo(UserEmailId,UserPassword) values('Mike@gmail.com','999999'); mysql> insert into CaseInsensitiveDistinctDemo(UserEmailId,UserPassword) values('mike@gmail.com','334556'); mysql> insert into CaseInsensitiveDistinctDemo(UserEmailId,UserPassword) values('Carol@gmail.com','1010101'); mysql> insert into CaseInsensitiveDistinctDemo(UserEmailId,UserPassword) values('Larry@gmail.com','12345678');
使用select语句显示表中的所有记录。查询如下:
mysql> select *from CaseInsensitiveDistinctDemo;
以下是输出:
+----+-----------------+--------------+ | Id | UserEmailId | UserPassword | +----+-----------------+--------------+ | 1 | John@gmail.com | john123 | | 2 | john@gmail.com | 654321 | | 3 | Mike@gmail.com | 999999 | | 4 | mike@gmail.com | 334556 | | 5 | Carol@gmail.com | 1010101 | | 6 | Larry@gmail.com | 12345678 | +----+-----------------+--------------+ 6 rows in set (0.00 sec)
这是选择不区分大小写的区分查询。
情况1:使用UPPER()
。查询如下:
mysql> select distinct upper(UserEmailId) from CaseInsensitiveDistinctDemo;
以下是输出:
+--------------------+ | upper(UserEmailId) | +--------------------+ | JOHN@GMAIL.COM | | MIKE@GMAIL.COM | | CAROL@GMAIL.COM | | LARRY@GMAIL.COM | +--------------------+ 4 rows in set (0.06 sec)
情况2:使用LOWER()
。查询如下:
mysql> select distinct lower(UserEmailId) from CaseInsensitiveDistinctDemo;
以下是输出:
+--------------------+ | lower(UserEmailId) | +--------------------+ | john@gmail.com | | mike@gmail.com | | carol@gmail.com | | larry@gmail.com | +--------------------+ 4 rows in set (0.00 sec)