MySQL 5.7 对JSON的支持_H5之家 - 中国HTML5教程资源分享第一站

最近有个业务需要能够存储Json并做一些简单的业务逻辑处理。业务找到我说json的数据分析很难用mysql 5.6 ,这样的纯粹行存来处理难度很大，问我有没啥办法。

我第一想到的是mongodb，第二想到的就是mysql 5.7 。然后一查，哎呀，已经GA了。众所周知的，mongodb的引擎层的稳定性一直是短板，而innodb经过10年的验证，已经是非常稳定的东西了。

所以就在想，是不是可以试试mysql 5.7 ，简单尝试，发现mysql 5.7 + DRDS ，完全不带mongoDB玩啊。。。

看看我的简单功能测试：

create table json_test ( uid int auto_increment,data json,primary key(uid))engine=innodb;

建库

mysql> insert into json_test values (NULL, '{"name":"name1","mobile":"15044447279","amount":400}');

Query OK, 1 row affected (0.01 sec)

mysql> insert into json_test values (NULL, '{"name":"name1","mobile":"15044447279","amount":300}');

Query OK, 1 row affected (0.01 sec)

mysql> insert into json_test values (NULL, '{"name":"name2","mobile":"15044447278","amount":300}');

Query OK, 1 row affected (0.01 sec)

mysql> insert into json_test values (NULL, '{"name":"name3","mobile":"15044447277","amount":300}');

Query OK, 1 row affected (0.01 sec)

插入四条语句

mysql> select data from json_test;

+-----------------------------------------------------------+

| data |

+-----------------------------------------------------------+

| {"name": "name1", "amount": 400, "mobile": "15044447279"} |

| {"name": "name1", "amount": 300, "mobile": "15044447279"} |

| {"name": "name2", "amount": 300, "mobile": "15044447278"} |

| {"name": "name3", "amount": 300, "mobile": "15044447277"} |

+-----------------------------------------------------------+

查询这四条json语句

mysql> select data->"$.name" as name ,sum(data->"$.amount") from json_test group by name;

+---------+-----------------------+

| name | sum(data->"$.amount") |

+---------+-----------------------+

| "name1" | 700 |

| "name2" | 300 |

| "name3" | 300 |

+---------+-----------------------+

做个group by sum 常见的统计操作

insert into json_test values (NULL, '{"mobile":"15044447277","amount":300}');

插入一个不带name的数据，看看索引对空数据的兼容性情况。

mysql> ALTER TABLE json_test ADD user_name varchar(128) GENERATED ALWAYS AS (json_extract(data,'$.name')) VIRTUAL;

Query OK, 0 rows affected (0.05 sec)

Records: 0 Duplicates: 0 Warnings: 0

mysql> alter table json_test add index idx_username (user_name);

Query OK, 0 rows affected (0.04 sec)

Records: 0 Duplicates: 0 Warnings: 0

创建虚拟列并建立索引

mysql> select user_name,sum(data->"$.amount") from json_test where user_name = '"name1"';

+-----------+-----------------------+

| user_name | sum(data->"$.amount") |

+-----------+-----------------------+

| "name1" | 700 |

+-----------+-----------------------+

查看符合某个user_name的数据的sum。

mysql> explain select user_name,sum(data->"$.amount") from json_test where user_name = '"name1"';

+----+-------------+-----------+------------+------+---------------+--------------+---------+-------+------+----------+-------+

+----+-------------+-----------+------------+------+---------------+--------------+---------+-------+------+----------+-------+

| 1 | SIMPLE | json_test | NULL | ref | idx_username | idx_username | 131 | const | 2 | 100.00 | NULL |

+----+-------------+-----------+------------+------+---------------+--------------+---------+-------+------+----------+-------+

确认带索引数据走到了索引上

===========

然后，这东西竟然还支持事务。。这个就牛逼大了。。

mysql> start transaction;

Query OK, 0 rows affected (0.00 sec)

开启事务

mysql> select * from json_test;

+-----+-------------------------------------------------------------------+-----------+

| uid | data | user_name |

+-----+-------------------------------------------------------------------+-----------+

| 1 | {"name": "name1", "amount": 400, "mobile": "15044447279"} | "name1" |

| 2 | {"name": "name1", "amount": 300, "mobile": "15044447279"} | "name1" |

| 3 | {"name": "name2", "amount": 300, "mobile": "15044447278"} | "name2" |

| 4 | {"name": "name3", "amount": 300, "mobile": "15044447277"} | "name3" |

| 5 | {"amount": 300, "mobile": "15044447277"} | NULL |

| 6 | {"amount": "300", "name”:”name2”,”mobile": "15044447278"} | NULL |

+-----+-------------------------------------------------------------------+-----------+

查看原表。

mysql> insert into json_test (uid,data) values (NULL, '{"name":"name1","mobile":"15044447279","amount":300}');

Query OK, 1 row affected (0.00 sec)

插入新数据