使MySQL查询区分大小写的实现方法
编程学习 2021-07-05 15:27www.dzhlxh.cn编程入门
我们在MySQL中使用SELECT语句查询时,可不可以使查询区分大小写?今天从网络上找到了方法,现总结如下。
1、一种方法是可以设置表或行的collation,使其为binary或case sensitive。在MySQL中,对于Column Collate其约定的命名方法如下:
*_bin: 表示的是binary case sensitive collation,也就是说是区分大小写的
*_cs: case sensitive collation,区分大小写
*_ci: case insensitive collation,不区分大小写
###########
# Start binary collation example
###########
mysql> create table case_bin_test (word VARCHAR(10)) CHARACTER SET latin1 COLLATE latin1_bin;
Query OK, 0 rows affected (0.02 sec)
mysql> INSERT INTO case_bin_test VALUES ('Frank'),('Google'),('froogle'),('flickr'),('FlicKr');
Query OK, 5 rows affected (0.00 sec)
Records: 5 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM case_bin_test WHERE word LIKE 'f%';
+---------+
| word |
+---------+
| froogle |
| flickr |
+---------+
2 rows in set (0.00 sec)
mysql> SELECT * FROM case_bin_test WHERE word LIKE 'F%';
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.00 sec)
###########
# End
###########
2、另外一种方法
###########
# Start case sensitive collation example
###########
mysql> create table case_cs_test (word VARCHAR(10)) CHARACTER SET latin1 COLLATE latin1_general_cs;
Query OK, 0 rows affected (0.08 sec)
mysql> INSERT INTO case_cs_test VALUES ('Frank'),('Google'),('froogle'),('flickr'),('FlicKr');
Query OK, 5 rows affected (0.00 sec)
Records: 5 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM case_cs_test WHERE word LIKE 'F%';
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.00 sec)
mysql> SELECT * FROM case_cs_test WHERE word LIKE 'f%';
+---------+
| word |
+---------+
| froogle |
| flickr |
+---------+
2 rows in set (0.00 sec)
###########
# end
###########
3、还有一种方法就是在查询时指定collation
mysql> create table case_test (word VARCHAR(10)) CHARACTER SET latin1;
Query OK, 0 rows affected (0.01 sec)
mysql> INSERT INTO case_test VALUES ('Frank'),('Google'),('froogle'),('flickr'),('FlicKr');
Query OK, 7 rows affected (0.01 sec)
Records: 7 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM case_test WHERE word LIKE 'f%';
+---------+
| word |
+---------+
| Frank |
| froogle |
| flickr |
| FlicKr |
+---------+
6 rows in set (0.01 sec)
mysql> SELECT * FROM case_test WHERE word LIKE 'F%';
+---------+
| word |
+---------+
| Frank |
| froogle |
| flickr |
| FlicKr |
+---------+
6 rows in set (0.01 sec)
mysql> SELECT * FROM case_test WHERE word COLLATE latin1_bin LIKE 'F%';
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.05 sec)
mysql> SELECT * FROM case_test WHERE word COLLATE latin1_bin LIKE 'f%';
+---------+
| word |
+---------+
| froogle |
| flickr |
+---------+
2 rows in set (0.00 sec)
mysql> SELECT * FROM case_test WHERE word LIKE 'f%' COLLATE latin1_bin;
+---------+
| word |
+---------+
| froogle |
| flickr |
+---------+
2 rows in set (0.00 sec)
mysql> SELECT * FROM case_test WHERE word LIKE 'F%' COLLATE latin1_bin;
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.01 sec)
mysql> SELECT * FROM case_test WHERE word LIKE 'F%' COLLATE latin1_general_cs;
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.04 sec)
*_bin: 表示的是binary case sensitive collation,也就是说是区分大小写的
*_cs: case sensitive collation,区分大小写
*_ci: case insensitive collation,不区分大小写
###########
# Start binary collation example
###########
mysql> create table case_bin_test (word VARCHAR(10)) CHARACTER SET latin1 COLLATE latin1_bin;
Query OK, 0 rows affected (0.02 sec)
mysql> INSERT INTO case_bin_test VALUES ('Frank'),('Google'),('froogle'),('flickr'),('FlicKr');
Query OK, 5 rows affected (0.00 sec)
Records: 5 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM case_bin_test WHERE word LIKE 'f%';
+---------+
| word |
+---------+
| froogle |
| flickr |
+---------+
2 rows in set (0.00 sec)
mysql> SELECT * FROM case_bin_test WHERE word LIKE 'F%';
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.00 sec)
###########
# End
###########
2、另外一种方法
###########
# Start case sensitive collation example
###########
mysql> create table case_cs_test (word VARCHAR(10)) CHARACTER SET latin1 COLLATE latin1_general_cs;
Query OK, 0 rows affected (0.08 sec)
mysql> INSERT INTO case_cs_test VALUES ('Frank'),('Google'),('froogle'),('flickr'),('FlicKr');
Query OK, 5 rows affected (0.00 sec)
Records: 5 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM case_cs_test WHERE word LIKE 'F%';
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.00 sec)
mysql> SELECT * FROM case_cs_test WHERE word LIKE 'f%';
+---------+
| word |
+---------+
| froogle |
| flickr |
+---------+
2 rows in set (0.00 sec)
###########
# end
###########
3、还有一种方法就是在查询时指定collation
mysql> create table case_test (word VARCHAR(10)) CHARACTER SET latin1;
Query OK, 0 rows affected (0.01 sec)
mysql> INSERT INTO case_test VALUES ('Frank'),('Google'),('froogle'),('flickr'),('FlicKr');
Query OK, 7 rows affected (0.01 sec)
Records: 7 Duplicates: 0 Warnings: 0
mysql> SELECT * FROM case_test WHERE word LIKE 'f%';
+---------+
| word |
+---------+
| Frank |
| froogle |
| flickr |
| FlicKr |
+---------+
6 rows in set (0.01 sec)
mysql> SELECT * FROM case_test WHERE word LIKE 'F%';
+---------+
| word |
+---------+
| Frank |
| froogle |
| flickr |
| FlicKr |
+---------+
6 rows in set (0.01 sec)
mysql> SELECT * FROM case_test WHERE word COLLATE latin1_bin LIKE 'F%';
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.05 sec)
mysql> SELECT * FROM case_test WHERE word COLLATE latin1_bin LIKE 'f%';
+---------+
| word |
+---------+
| froogle |
| flickr |
+---------+
2 rows in set (0.00 sec)
mysql> SELECT * FROM case_test WHERE word LIKE 'f%' COLLATE latin1_bin;
+---------+
| word |
+---------+
| froogle |
| flickr |
+---------+
2 rows in set (0.00 sec)
mysql> SELECT * FROM case_test WHERE word LIKE 'F%' COLLATE latin1_bin;
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.01 sec)
mysql> SELECT * FROM case_test WHERE word LIKE 'F%' COLLATE latin1_general_cs;
+---------+
| word |
+---------+
| Frank |
| FlicKr |
+---------+
4 rows in set (0.04 sec)
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