mysql的json处理

wang09072023-08-01 16:53

写在前面

需要注意，5.7以上版本才支持，但如果是生产环境需要使用的话，尽量使用8.0版本，因为8.0版本对json处理做了比较大的性能优化。你你可以使用select version();来查看版本信息。

本文看下MySQL的json处理。在正式开始让我们先来准备一些测试数据：

sql 复制代码 
CREATE TABLE `dept` (
  `id` int(11) NOT NULL,
  `dept` varchar(255) DEFAULT NULL,
  `json_value` json DEFAULT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

insert into dept VALUES(1,'部门1','{"deptName": "部门1", "deptId": "1", "deptLeaderId": "3"}');
insert into dept VALUES(2,'部门2','{"deptName": "部门2", "deptId": "2", "deptLeaderId": "4"}');
insert into dept VALUES(3,'部门3','{"deptName": "部门3", "deptId": "3", "deptLeaderId": "5"}');
insert into dept VALUES(4,'部门4','{"deptName": "部门4", "deptId": "4", "deptLeaderId": "5"}');
insert into dept VALUES(5,'部门5','{"deptName": "部门5", "deptId": "5", "deptLeaderId": "5"}');

1：json字段名->'$.json属性'

通过json字段名->'$.json属性'语法格式可以访问到json中某个key的值，以如下查询方式看下。

1.1：用在DQL查询结果中

mysql> select id,json_value->'$.deptLeaderId' from dept where id=2;
+----+------------------------------+
| id | json_value->'$.deptLeaderId' |
+----+------------------------------+
|  2 | "4"                          |
+----+------------------------------+
1 row in set (0.01 sec)

1.2：用在DQL条件中

  • 单条件

    mysql> select id from dept where json_value->'$.deptLeaderId'='4';
    +----+
    | id |
    +----+
    | 2 |
    +----+
    1 row in set (0.01 sec)

  • 和普通字段组合查询

    mysql> select id from dept where json_value->'$.deptLeaderId'='4' and id>1;
    +----+
    | id |
    +----+
    | 2 |
    +----+
    1 row in set (0.01 sec)

  • json多条件

    mysql> select id from dept where json_value->'.deptLeaderId'='4' and json_value->'.deptName' like '%部门%';
    +----+
    | id |
    +----+
    | 2 |
    +----+
    1 row in set (0.00 sec)

1.3：用在DQL关联查询中

先准备数据：

java 复制代码 
CREATE TABLE `dept_leader` (
  `id` int(11) NOT NULL,
  `leaderName` varchar(255) DEFAULT NULL,
  `json_value` json DEFAULT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

insert into dept_leader VALUES(1,'leader1','{"name": "王一", "id": "1", "leaderId": "1"}');
insert into dept_leader VALUES(2,'leader2','{"name": "王二", "id": "2", "leaderId": "3"}');
insert into dept_leader VALUES(3,'leader3','{"name": "王三", "id": "3", "leaderId": "4"}');
insert into dept_leader VALUES(4,'leader4','{"name": "王四", "id": "4", "leaderId": "5"}');
insert into dept_leader VALUES(5,'leader5','{"name": "王五", "id": "5", "leaderId": "5"}');

  • 关联查询

    mysql> SELECT dept.id,dept_leader.id from dept,dept_leader WHERE dept.json_value->'.deptLeaderId'=dept_leader.json_value->'.id' ;
    +----+----+
    | id | id |
    +----+----+
    | 1 | 3 |
    | 2 | 4 |
    | 3 | 5 |
    | 4 | 5 |
    | 5 | 5 |
    | 6 | 5 |
    | 7 | 5 |
    | 8 | 5 |
    +----+----+
    8 rows in set (0.00 sec)

2：json_extract

语法格式json_extract(字段名,$.json字段名),用来从json字段中提取值，如下：

mysql> select id,json_extract(json_value,'$.deptName') as deptName from dept;
+----+------------------------------+
| id | deptName                     |
+----+------------------------------+
|  1 | "部门1"                      |
...

mysql> SELECT * FROM dept WHERE JSON_EXTRACT(json_value,'$.deptName') like '%部门%'\G
*************************** 1. row ***************************
        id: 1
      dept: 部门1
json_value: {"deptId": "1", "deptName": "部门1", "deptLeaderId": "3"}
*************************** 2. row ***************************
        id: 2
      dept: 部门2
json_value: {"deptId": "2", "newData": "新增的数据", "deptName": "新增的部门1111", "deptLeaderId": "4"}
...cx

3：JSON_OBJECT()

语法格式JSON_OBJECT(k,v[,k,v]),用来转换指定数据为json object,如下：

mysql> select json_object("name", "张三", "age", 99);
+------------------------------------------+
| json_object("name", "张三", "age", 99)   |
+------------------------------------------+
| {"age": 99, "name": "张三"}              |
+------------------------------------------+
1 row in set (0.01 sec)

4：JSON_CONTAINS()

语法JSON_CONTAINS(target, candidate[, path])，用来判断json格式中是否包含指定子对象，其中子对象需要通过json_object()生成，如下：

mysql> select * from dept WHERE JSON_CONTAINS(json_value, JSON_OBJECT("deptName","部门5"))
    -> ;
+----+---------+-------------------------------------------------------------+
| id | dept    | json_value                                                  |
+----+---------+-------------------------------------------------------------+
|  5 | 部门5   | {"deptId": "5", "deptName": "部门5", "deptLeaderId": "5"}   |
+----+---------+-------------------------------------------------------------+
1 row in set (0.01 sec)

注意需要使用json_object转换为object。

添加如下数据，看一个嵌套json对象的例子：

insert into dept VALUES(6,'部门9','{"deptName": {"dept":"de","depp":"dd"}, "deptId": "5", "deptLeaderId": "5"}');

判断嵌套对象是否存在：

mysql> SELECT * from dept WHERE JSON_CONTAINS(json_value->'$.deptName',JSON_OBJECT("depp","dd"));
+----+---------+--------------------------------------------------------------------------------+
| id | dept    | json_value                                                                     |
+----+---------+--------------------------------------------------------------------------------+
|  6 | 部门9   | {"deptId": "5", "deptName": {"depp": "dd", "dept": "de"}, "deptLeaderId": "5"} |
+----+---------+--------------------------------------------------------------------------------+
1 row in set (0.00 sec)

mysql> SELECT * from ( SELECT *,json_value->'$.deptName' as deptName FROM dept ) t WHERE JSON_CONTAINS(deptName,JSON_OBJECT("depp","dd"));
...

5：JSON_ARRAY()

创建json数组，如下：

mysql> select json_array("pingpong","羽毛球","篮球");
+---------------------------------------------+
| json_array("pingpong","羽毛球","篮球")      |
+---------------------------------------------+
| ["pingpong", "羽毛球", "篮球"]              |
+---------------------------------------------+

mysql> select json_array(json_object("name", "张三"), "篮球", json_object("name", "李四"));
+------------------------------------------------------------------------------------+
| json_array(json_object("name", "张三"), "篮球", json_object("name", "李四"))       |
+------------------------------------------------------------------------------------+
| [{"name": "张三"}, "篮球", {"name": "李四"}]                                       |
+------------------------------------------------------------------------------------+
1 row in set (0.00 sec)

json格式化看下：

5.1：判断数组是否是否包含某子数组

准备数据：

insert into dept VALUES(7,'部门9','{"deptName": ["1","2","3"], "deptId": "5", "deptLeaderId": "5"}');
insert into dept VALUES(7,'部门9','{"deptName": ["5","6","7"], "deptId": "5", "deptLeaderId": "5"}');

mysql> SELECT * from dept WHERE JSON_CONTAINS(json_value->'$.deptName',JSON_ARRAY("1"));
+----+---------+-------------------------------------------------------------------+
| id | dept    | json_value                                                        |
+----+---------+-------------------------------------------------------------------+
|  7 | 部门9   | {"deptId": "5", "deptName": ["1", "2", "3"], "deptLeaderId": "5"} |
+----+---------+-------------------------------------------------------------------+
1 row in set (0.05 sec)

6：JSON_TYPE()

获取类型：

mysql> SELECT json_value->'$.deptName' ,JSON_TYPE(json_value->'$.deptName') as type from dept;  
+------------------------------+--------+
| json_value->'$.deptName'     | type   |
+------------------------------+--------+
| "部门1"                      | STRING |
| "新增的部门1111"             | STRING |
| "部门3"                      | STRING |
| "部门4"                      | STRING |
| "部门5"                      | STRING |
| {"depp": "dd", "dept": "de"} | OBJECT |
| ["1", "2", "3"]              | ARRAY  |
| ["5", "6", "7"]              | ARRAY  |
+------------------------------+--------+

7：JSON_KEYS()

获取文档中所有的key，如下：

mysql> SELECT JSON_KEYS(json_value),json_value FROM dept where id=2\G
*************************** 1. row ***************************
JSON_KEYS(json_value): ["deptId", "newData", "deptName", "deptLeaderId"]
           json_value: {"deptId": "2", "newData": "新增的数据", "deptName": "新增的部门1111", "deptLeaderId": "4"}
1 row in set (0.01 sec)

8：JSON_SET()

更新或者是添加kv，无责插入，有则更新，语法格式JSON_SET(json_doc, path, val[, path, val] ...),如下：

  • key存在时更新

    mysql> select * from dept where id=1;
    +----+---------+-------------------------------------------------------------+
    | id | dept | json_value |
    +----+---------+-------------------------------------------------------------+
    | 1 | 部门1 | {"deptId": "1", "deptName": "部门1", "deptLeaderId": "3"} |
    +----+---------+-------------------------------------------------------------+
    1 row in set (0.00 sec)

    mysql> update dept set json_value=JSON_SET(json_value, '$.deptName', '部门1_更新后') where id=1;
    Query OK, 1 row affected (0.02 sec)
    Rows matched: 1 Changed: 1 Warnings: 0

    mysql> select * from dept where id=1;
    +----+---------+-----------------------------------------------------------------------+
    | id | dept | json_value |
    +----+---------+-----------------------------------------------------------------------+
    | 1 | 部门1 | {"deptId": "1", "deptName": "部门1_更新后", "deptLeaderId": "3"} |
    +----+---------+-----------------------------------------------------------------------+
    1 row in set (0.00 sec)

  • key不存在时插入

    mysql> select * from dept where id=1;
    +----+---------+-----------------------------------------------------------------------+
    | id | dept | json_value |
    +----+---------+-----------------------------------------------------------------------+
    | 1 | 部门1 | {"deptId": "1", "deptName": "部门1_更新后", "deptLeaderId": "3"} |
    +----+---------+-----------------------------------------------------------------------+
    1 row in set (0.00 sec)

    mysql> update dept set json_value=JSON_SET(json_value, '$.deptAddr', '赢创动力4楼') where id=1;
    Query OK, 1 row affected (0.03 sec)
    Rows matched: 1 Changed: 1 Warnings: 0

    mysql> select * from dept where id=1;
    +----+---------+-------------------------------------------------------------------------------------------------------+
    | id | dept | json_value |
    +----+---------+-------------------------------------------------------------------------------------------------------+
    | 1 | 部门1 | {"deptId": "1", "deptAddr": "赢创动力4楼", "deptName": "部门1_更新后", "deptLeaderId": "3"} |
    +----+---------+-------------------------------------------------------------------------------------------------------+
    1 row in set (0.00 sec)

  • 一个key不存在，一个key存在

    mysql> select * from dept where id=1;
    +----+---------+-------------------------------------------------------------------------------------------------------+
    | id | dept | json_value |
    +----+---------+-------------------------------------------------------------------------------------------------------+
    | 1 | 部门1 | {"deptId": "1", "deptAddr": "赢创动力4楼", "deptName": "部门1_更新后", "deptLeaderId": "3"} |
    +----+---------+-------------------------------------------------------------------------------------------------------+
    1 row in set (0.00 sec)

    mysql> update dept set json_value=JSON_SET(json_value, '.deptAddr', '八维学院', '.newKey', 'newKey的value') where id=1;
    Query OK, 1 row affected (0.04 sec)
    Rows matched: 1 Changed: 1 Warnings: 0

    mysql> select * from dept where id=1; +----+---------+-------------------------------------------------------------------------------------------------------------------------------+
    | id | dept | json_value |
    +----+---------+-------------------------------------------------------------------------------------------------------------------------------+
    | 1 | 部门1 | {"deptId": "1", "newKey": "newKey的value", "deptAddr": "八维学院", "deptName": "部门1_更新后", "deptLeaderId": "3"} |
    +----+---------+-------------------------------------------------------------------------------------------------------------------------------+
    1 row in set (0.00 sec)

9：JSON_INSERT()

语法格式JSON_INSERT(json_doc, path, val[, path, val] ...),插入文档，当值已经存在时忽略，如下：

mysql> select * from dept where id=2;
+----+---------+-------------------------------------------------------------+
| id | dept    | json_value                                                  |
+----+---------+-------------------------------------------------------------+
|  2 | 部门2   | {"deptId": "2", "deptName": "部门2", "deptLeaderId": "4"}   |
+----+---------+-------------------------------------------------------------+
1 row in set (0.01 sec)

mysql> update dept set json_value=JSON_INSERT(json_value, '$.deptId', '已存在不更新', '$.addr', '西二旗') where id=2;
Query OK, 1 row affected (0.02 sec)
Rows matched: 1  Changed: 1  Warnings: 0

mysql> select * from dept where id=2;                                                                      +----+---------+----------------------------------------------------------------------------------+
| id | dept    | json_value                                                                       |
+----+---------+----------------------------------------------------------------------------------+
|  2 | 部门2   | {"addr": "西二旗", "deptId": "2", "deptName": "部门2", "deptLeaderId": "4"}      |
+----+---------+----------------------------------------------------------------------------------+
1 row in set (0.00 sec)

10：JSON_REPLACE()

语法格式JSON_REPLACE(json_doc, path, val[, path, val] ...)，更新而不新增文档，如下：

mysql> update dept set json_value=JSON_REPLACE(json_value, '$.deptName', '部门2_新名称', '$.notExitsKey', '不会替换，因为不存在') where id=2;
Query OK, 1 row affected (0.02 sec)
Rows matched: 1  Changed: 1  Warnings: 0
mysql> select * from dept where id=2;                                                                      +----+---------+--------------------------------------------------------------------------------------------+
| id | dept    | json_value                                                                                 |
+----+---------+--------------------------------------------------------------------------------------------+
|  2 | 部门2   | {"addr": "西二旗", "deptId": "2", "deptName": "部门2_新名称", "deptLeaderId": "4"}         |
+----+---------+--------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)

11：JSON_REMOVE()

语法格式JSON_REMOVE(json_doc, path[, path] ...),删除文档：

mysql> select * from dept where id=3;
+----+---------+-------------------------------------------------------------+
| id | dept    | json_value                                                  |
+----+---------+-------------------------------------------------------------+
|  3 | 部门3   | {"deptId": "3", "deptName": "部门3", "deptLeaderId": "5"}   |
+----+---------+-------------------------------------------------------------+
1 row in set (0.00 sec)

mysql> update dept set json_value=JSON_REMOVE(json_value, '$.depeName', '$.deptLeaderId') where id=3;
Query OK, 1 row affected (0.04 sec)
Rows matched: 1  Changed: 1  Warnings: 0

mysql> select * from dept where id=3;
+----+---------+----------------------------------------+
| id | dept    | json_value                             |
+----+---------+----------------------------------------+
|  3 | 部门3   | {"deptId": "3", "deptName": "部门3"}   |
+----+---------+----------------------------------------+
1 row in set (0.00 sec)

12：JSON_SEARCH

语法格式JSON_SEARCH(json_doc，one_or_all，search_str [，escape_char [，path] ...]),

获取指定文档出现的位置，如果没有则返回NULL。

12.1：官方例子

  • 准备数据

    mysql> SET @j = '["abc", [{"k": "10"}, "def"], {"x":"abc"}, {"y":"bcd"}]';
    Query OK, 0 rows affected (0.00 sec)

    mysql> select @j;
    +---------------------------------------------------------+
    | @j |
    +---------------------------------------------------------+
    | ["abc", [{"k": "10"}, "def"], {"x":"abc"}, {"y":"bcd"}] |
    +---------------------------------------------------------+
    1 row in set (0.01 sec)

  • 查询

    mysql> SELECT JSON_SEARCH(@j, 'one', 'abc'); // 第二参数查询终止条件，设置为one，即只查询一个
    +-------------------------------+
    | JSON_SEARCH(@j, 'one', 'abc') |
    +-------------------------------+
    | "$[0]" |
    +-------------------------------+
    1 row in set (0.01 sec)

    mysql> SELECT JSON_SEARCH(@j, 'all', 'abc'); // 第二个参数查询终止条件，设置为all，即查询所有匹配的
    +-------------------------------+
    | JSON_SEARCH(@j, 'all', 'abc') |
    +-------------------------------+
    | ["[0]", "[2].x"] |
    +-------------------------------+
    1 row in set (0.01 sec)

    mysql> SELECT JSON_SEARCH(@j, 'all', 'ghi'); // 全局匹配不存在的，会返回NULL
    +-------------------------------+
    | JSON_SEARCH(@j, 'all', 'ghi') |
    +-------------------------------+
    | NULL |
    +-------------------------------+
    1 row in set (0.00 sec)

    mysql> SELECT JSON_SEARCH(@j, 'all', '10'); // 全局匹配10，返回具体位置的具体key
    +------------------------------+
    | JSON_SEARCH(@j, 'all', '10') |
    +------------------------------+
    | "$[1][0].k" |
    +------------------------------+
    1 row in set (0.01 sec)

  • 指定路径搜索

    mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, ''); +-----------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '') |
    +-----------------------------------------+
    | "$[1][0].k" |
    +-----------------------------------------+

    mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '[*]'); +--------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '[*]') |
    +--------------------------------------------+
    | "$[1][0].k" |
    +--------------------------------------------+

    mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '**.k'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '**.k') |
    +---------------------------------------------+
    | "$[1][0].k" |
    +---------------------------------------------+

    mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '[*][0].k'); +-------------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '[*][0].k') |
    +-------------------------------------------------+
    | "$[1][0].k" |
    +-------------------------------------------------+

    mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '[1]'); +--------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '[1]') |
    +--------------------------------------------+
    | "$[1][0].k" |
    +--------------------------------------------+

    #指定搜索路径为数组中第二个元素内的第一个元素
    mysql> SELECT JSON_SEARCH(@j, 'all', '10', NULL, '[1][0]'); +-----------------------------------------------+ | JSON_SEARCH(@j, 'all', '10', NULL, '[1][0]') |
    +-----------------------------------------------+
    | "$[1][0].k" |
    +-----------------------------------------------+

    mysql> SELECT JSON_SEARCH(@j, 'all', 'abc', NULL, '[2]'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', 'abc', NULL, '[2]') |
    +---------------------------------------------+
    | "$[2].x" |
    +---------------------------------------------+

  • 模糊匹配

    mysql> SELECT JSON_SEARCH(@j, 'all', '%a%');
    +-------------------------------+
    | JSON_SEARCH(@j, 'all', '%a%') |
    +-------------------------------+
    | ["[0]", "[2].x"] |
    +-------------------------------+

    mysql> SELECT JSON_SEARCH(@j, 'all', '%b%');
    +-------------------------------+
    | JSON_SEARCH(@j, 'all', '%b%') |
    +-------------------------------+
    | ["[0]", "[2].x", "$[3].y"] |
    +-------------------------------+

    指定搜索路径，$[0] = "abc"

    mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', NULL, '[0]'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', NULL, '[0]') |
    +---------------------------------------------+
    | "$[0]" |
    +---------------------------------------------+

    $[2] = {"x":"abc"}

    mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', NULL, '[2]'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', NULL, '[2]') |
    +---------------------------------------------+
    | "$[2].x" |
    +---------------------------------------------+

    $[1] = [{"k": "10"}, "def"] 模糊匹配无结果

    mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', NULL, '[1]'); +---------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', NULL, '[1]') |
    +---------------------------------------------+
    | NULL |
    +---------------------------------------------+

    mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', '', '[1]'); +-------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', '', '[1]') |
    +-------------------------------------------+
    | NULL |
    +-------------------------------------------+

    mysql> SELECT JSON_SEARCH(@j, 'all', '%b%', '', '[3]'); +-------------------------------------------+ | JSON_SEARCH(@j, 'all', '%b%', '', '[3]') |
    +-------------------------------------------+
    | "$[3].y" |
    +-------------------------------------------+

12.2：实际例子

在日常开发过程中如果需要使用JSON_SEARCH查询的话，需要搭配IS NOT NULL来获取符合条件的数据，如果是返回是NULL则说明不存在，反之存在，所以，对于返回的具体位置信息我们一般是使用不到的，准备数据如下：

Create Table: CREATE TABLE `user` (
  `id` int(11) unsigned NOT NULL AUTO_INCREMENT,
  `name` varchar(64) NOT NULL COMMENT '名字',
  `age` int(4) unsigned NOT NULL COMMENT '年龄',
  `info` text COMMENT '补充信息',
  PRIMARY KEY (`id`),
  UNIQUE KEY `name` (`name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='用户表'

INSERT INTO `user` (`name`, `age`, `info`) VALUES ('suhw', '23', '{"phone":"12312123434","language":["c++","java","go"]}');
INSERT INTO `user` (`name`, `age`, `info`) VALUES ('bob', '20', '{"phone":"18912123434","language":["c++","c","go","php"]}');

查询会java和go语言的数据：

mysql> select * from user where json_search(info, 'all', 'go') is not null and json_search(info, 'all', 'java') is not null;
+----+------+-----+--------------------------------------------------------+
| id | name | age | info                                                   |
+----+------+-----+--------------------------------------------------------+
|  1 | suhw |  23 | {"phone":"12312123434","language":["c++","java","go"]} |
+----+------+-----+--------------------------------------------------------+
1 row in set (0.00 sec)

写在后面

参考文章列表

【MySQL】对JSON数据操作（全网最全） 。

MySQL - json_search 小结 。

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