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,datajson,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->"$.amount") |
+---------+-----------------------+
+---------+-----------------------+
>
insert into json_test values (NULL,'{"mobile":"15044447277","amount":300}');
>
mysql> ALTER TABLE json_test ADDuser_name varchar(128) GENERATED ALWAYS AS(json_extract(data,'$.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->"$.amount") fromjson_test where user_name = '"name1"';
+-----------+-----------------------+
| user_name | sum(data->"$.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"';
>
Query OK, 0 rows affected (0.00 sec)
>
mysql> select * from json_test;
+-----+-------------------------------------------------------------------+-----------+
+-----+-------------------------------------------------------------------+-----------+
| 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 |
+-----+-------------------------------------------------------------------+-----------+
>
Query OK, 1 row affected (0.00 sec)
>
+-----+-------------------------------------------------------------------+-----------+
| 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 |
| 7 | {"name": "name1", "amount": 300,"mobile": "15044447279"} | "name1" |
+-----+-------------------------------------------------------------------+-----------+
>
mysql> select * from json_test;
+-----+-------------------------------------------------------------------+-----------+
+-----+-------------------------------------------------------------------+-----------+
| 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 |
+-----+-------------------------------------------------------------------+-----------+
>
ALTER TABLE json_test ADD user_namevarchar(128) GENERATED ALWAYS AS (json_extract(data,'$.name'))VIRTUAL;
>
应该写入的时候做一个trigger 每个json都运算json_extract(data,'$.name')，然后写到一个新的不可修改的列里。
这个就可以让原来的行存和文档有一个非常完美的结合，当业务变化大的时候，放到json里面，而当变化稳定下来，就迁移到行存里。
完美。 推荐！
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