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[MySQL] 【原创】MySQL5.7 JSON类型使用介绍

数据库 数据库 发布于:2021-07-03 21:45 | 阅读数:539 | 评论:0

  JSON是一种轻量级的数据交换格式,采用了独立于语言的文本格式,类似XML,但是比XML简单,易读并且易编写。对机器来说易于解析和生成,并且会减少网络带宽的传输。
  JSON的格式非常简单:名称/键值。之前MySQL版本里面要实现这样的存储,要么用VARCHAR要么用TEXT大文本。 MySQL5.7发布后,专门设计了JSON数据类型以及关于这种类型的检索以及其他函数解析。 我们先看看MySQL老版本的JSON存取。
  

  示例表结构:
CREATE TABLE json_test(
id INT,
person_desc TEXT
)ENGINE INNODB;
  我们来插入一条记录:
INSERT INTO json_test VALUES (1,'{
  "programmers": [{
    "firstName": "Brett",
    "lastName": "McLaughlin",
    "email": "aaaa"
  }, {
    "firstName": "Jason",
    "lastName": "Hunter",
    "email": "bbbb"
  }, {
    "firstName": "Elliotte",
    "lastName": "Harold",
    "email": "cccc"
  }],
  "authors": [{
    "firstName": "Isaac",
    "lastName": "Asimov",
    "genre": "sciencefiction"
  }, {
    "firstName": "Tad",
    "lastName": "Williams",
    "genre": "fantasy"
  }, {
    "firstName": "Frank",
    "lastName": "Peretti",
    "genre": "christianfiction"
  }],
  "musicians": [{
    "firstName": "Eric",
    "lastName": "Clapton",
    "instrument": "guitar"
  }, {
    "firstName": "Sergei",
    "lastName": "Rachmaninoff",
    "instrument": "piano"
  }]
}');
  

  那一般我们遇到这样来存储JSON格式的话,只能把这条记录取出来交个应用程序,有应用程序来解析。
  

  

  现在到了MySQL5.7,我们重新修改下表结构:
ALTER TABLE json_test MODIFY person_desc json;
  

  先看看插入的这行JSON数据有哪些KEY:
mysql> SELECT id,json_keys(person_desc) as "keys" FROM json_test\G
*************************** 1. row ***************************
  id: 1
keys: ["authors", "musicians", "programmers"]
1 row in set (0.00 sec)
  

  我们可以看到,里面有三个KEY,分别为authors,musicians,programmers。那现在找一个KEY把对应的值拿出来:
mysql> SELECT json_extract(AUTHORS,'$.lastName[0]') AS 'name', AUTHORS FROM
  -> (
  -> SELECT id,json_extract(person_desc,'$.authors[0][0]') AS "authors" FROM json_test
  -> UNION ALL
  -> SELECT id,json_extract(person_desc,'$.authors[1][0]') AS "authors" FROM json_test
  -> UNION ALL
  -> SELECT id,json_extract(person_desc,'$.authors[2][0]') AS "authors" FROM json_test
  -> ) AS T1
  -> ORDER BY NAME DESC\G
*************************** 1. row ***************************
   name: "Williams"
AUTHORS: {"genre": "fantasy", "lastName": "Williams", "firstName": "Tad"}
*************************** 2. row ***************************
   name: "Peretti"
AUTHORS: {"genre": "christianfiction", "lastName": "Peretti", "firstName": "Frank"}
*************************** 3. row ***************************
   name: "Asimov"
AUTHORS: {"genre": "sciencefiction", "lastName": "Asimov", "firstName": "Isaac"}
3 rows in set (0.00 sec)
  

  

  现在来把详细的值罗列出来:
mysql> SELECT
  -> json_extract(AUTHORS,'$.firstName[0]') AS "firstname",
  -> json_extract(AUTHORS,'$.lastName[0]') AS "lastname",
  -> json_extract(AUTHORS,'$.genre[0]') AS "genre"
  -> FROM
  -> (
  -> SELECT id,json_extract(person_desc,'$.authors[0]') AS "authors" FROM json
_test
  -> ) AS T\G
*************************** 1. row ***************************
firstname: "Isaac"
 lastname: "Asimov"
  genre: "sciencefiction"
1 row in set (0.00 sec)
  

  我们进一步来演示把authors 这个KEY对应的所有对象删掉。
mysql> UPDATE json_test
  -> SET person_desc = json_remove(person_desc,'$.authors')\G
Query OK, 1 row affected (0.01 sec)
Rows matched: 1  Changed: 1  Warnings: 0
  查找下对应的KEY,发现已经被删除掉了。
mysql> SELECT json_contains_path(person_desc,'all','$.authors') as authors_exist
s FROM json_test\G
*************************** 1. row ***************************
authors_exists: 0
1 row in set (0.00 sec)
  

  

  总结下, 虽然MySQL5.7 开始支持JSON数据类型,但是我建议如果要使用的话,最好是把这样的值取出来,然后在应用程序段来计算,毕竟数据库是用来处理简单数据的。
  


  
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