MySQL5.7的JSON基本操作

MySQL从5.7版本开始就支持JSON格式的数据,操作用起来挺方便的。

建表

在新建表时字段类型可以直接设置为json类型,比如我们创建一张表:

mysql> CREATE TABLE `test_user`(`id` INT PRIMARY KEY AUTO_INCREMENT, `name` VARCHAR(50) NOT NULL, `info` JSON);

json类型字段可以为NULL

插入数据:

mysql> INSERT INTO test_user(`name`, `info`) VALUES('xiaoming','{"sex": 1, "age": 18, "nick_name": "小萌"}');

json类型的字段必须时一个有效的json字符串

可以使用JSON_OBJECT()函数构造json对象:

mysql> INSERT INTO test_user(`name`, `info`) VALUES('xiaohua', JSON_OBJECT("sex", 0, "age", 17));

使用JSON_ARRAY()函数构造json数组:

mysql> INSERT INTO test_user(`name`, `info`) VALUES('xiaozhang', JSON_OBJECT("sex", 1, "age", 19, "tag", JSON_ARRAY(3,5,90)));

现在查看test_user表中的数据:

mysql> select * from test_user;
+----+-----------+--------------------------------------------+
| id | name      | info                                       |
+----+-----------+--------------------------------------------+
|  1 | xiaoming  | {"age": 18, "sex": 1, "nick_name": "小萌"} |
|  2 | xiaohua   | {"age": 17, "sex": 0}                      |
|  3 | xiaozhang | {"age": 19, "sex": 1, "tag": [3, 5, 90]}   |
+----+-----------+--------------------------------------------+
3 rows in set (0.04 sec)

查询

表达式: 对象为json列->'$.键', 数组为json列->'$.键[index]'

mysql> select name, info->'$.nick_name', info->'$.sex', info->'$.tag[0]' from test_user;
+-----------+---------------------+---------------+------------------+
| name      | info->'$.nick_name' | info->'$.sex' | info->'$.tag[0]' |
+-----------+---------------------+---------------+------------------+
| xiaoming  | "小萌"              | 1             | NULL             |
| xiaohua   | NULL                | 0             | NULL             |
| xiaozhang | NULL                | 1             | 3                |
+-----------+---------------------+---------------+------------------+
3 rows in set (0.04 sec)

等价于:对象为JSON_EXTRACT(json列 , '$.键'),数组为JSON_EXTRACT(json列 , '$.键[index]')

mysql> select name, JSON_EXTRACT(info, '$.nick_name'), JSON_EXTRACT(info, '$.sex'), JSON_EXTRACT(info, '$.tag[0]')  from test_user;
+-----------+-----------------------------------+-----------------------------+--------------------------------+
| name      | JSON_EXTRACT(info, '$.nick_name') | JSON_EXTRACT(info, '$.sex') | JSON_EXTRACT(info, '$.tag[0]') |
+-----------+-----------------------------------+-----------------------------+--------------------------------+
| xiaoming  | "小萌"                            | 1                           | NULL                           |
| xiaohua   | NULL                              | 0                           | NULL                           |
| xiaozhang | NULL                              | 1                           | 3                              |
+-----------+-----------------------------------+-----------------------------+--------------------------------+
3 rows in set (0.04 sec)

不过看到上面"小萌"是带双引号的,这不是我们想要的,可以用JSON_UNQUOTE函数将双引号去掉

mysql> select name, JSON_UNQUOTE(info->'$.nick_name') from test_user where name='xiaoming';
+----------+-----------------------------------+
| name     | JSON_UNQUOTE(info->'$.nick_name') |
+----------+-----------------------------------+
| xiaoming | 小萌                              |
+----------+-----------------------------------+
1 row in set (0.05 sec)

也可以直接使用操作符->>

mysql> select name, info->>'$.nick_name' from test_user where name='xiaoming';
+----------+----------------------+
| name     | info->>'$.nick_name' |
+----------+----------------------+
| xiaoming | 小萌                 |
+----------+----------------------+
1 row in set (0.06 sec)

当然属性也可以作为查询条件

mysql> select name, info->>'$.nick_name' from test_user where info->'$.nick_name'='小萌';
+----------+----------------------+
| name     | info->>'$.nick_name' |
+----------+----------------------+
| xiaoming | 小萌                 |
+----------+----------------------+
1 row in set (0.05 sec)

值得一提的是,可以通过虚拟列对JSON类型的指定属性进行快速查询。

创建虚拟列:

mysql> ALTER TABLE `test_user` ADD `nick_name` VARCHAR(50) GENERATED ALWAYS AS (info->>'$.nick_name') VIRTUAL;

注意用操作符->>

使用时和普通类型的列查询是一样:

mysql> select name,nick_name from test_user where nick_name='小萌';
+----------+-----------+
| name     | nick_name |
+----------+-----------+
| xiaoming | 小萌      |
+----------+-----------+
1 row in set (0.05 sec)

更新

使用JSON_INSERT()插入新值,但不会覆盖已经存在的值

mysql> UPDATE test_user SET info = JSON_INSERT(info, '$.sex', 1, '$.nick_name', '小花') where id=2;

看下结果

mysql> select * from test_user where id=2;
+----+---------+--------------------------------------------+-----------+
| id | name    | info                                       | nick_name |
+----+---------+--------------------------------------------+-----------+
|  2 | xiaohua | {"age": 17, "sex": 0, "nick_name": "小花"} | 小花      |
+----+---------+--------------------------------------------+-----------+
1 row in set (0.06 sec)

使用JSON_SET()插入新值,并覆盖已经存在的值

mysql> UPDATE test_user SET info = JSON_SET(info, '$.sex', 0, '$.nick_name', '小张') where id=3;

看下结果

mysql> select * from test_user where id=3;
+----+-----------+---------------------------------------------------------------+-----------+
| id | name      | info                                                          | nick_name |
+----+-----------+---------------------------------------------------------------+-----------+
|  3 | xiaozhang | {"age": 19, "sex": 1, "tag": [3, 5, 90], "nick_name": "小张"} | 小张      |
+----+-----------+---------------------------------------------------------------+-----------+
1 row in set (0.06 sec)

使用JSON_REPLACE()只替换存在的值

mysql> UPDATE test_user SET info = JSON_REPLACE(info, '$.sex', 1, '$.tag', '[1,2,3]') where id=2;

看下结果

mysql> select * from test_user where id=2;
+----+---------+--------------------------------------------+-----------+
| id | name    | info                                       | nick_name |
+----+---------+--------------------------------------------+-----------+
|  2 | xiaohua | {"age": 17, "sex": 1, "nick_name": "小花"} | 小花      |
+----+---------+--------------------------------------------+-----------+
1 row in set (0.06 sec)

可以看到tag没有更新进去

删除

使用JSON_REMOVE()删除JSON元素

mysql> UPDATE test_user SET info = JSON_REMOVE(info, '$.sex', '$.tag') where id=1;

看下结果

mysql> select * from test_user where id=1;
+----+----------+----------------------------------+-----------+
| id | name     | info                             | nick_name |
+----+----------+----------------------------------+-----------+
|  1 | xiaoming | {"age": 18, "nick_name": "小萌"} | 小萌      |
+----+----------+----------------------------------+-----------+
1 row in set (0.05 sec)

最后从MySQL的官方网站查看帮助文档:http://dev.mysql.com/doc/refman/5.7/en/json.html

😎

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