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MySQL 5.7新支持--------Json类型实战

2017-06-30 09:17 393 查看
1. 背景
  * 在MySQL 5.7.8中,MySQL支持由RFC 7159定义的本地JSON数据类型,它支持对JSON(JavaScript对象标记)文档中的数据进行有效访问.
  * MySQL会对DML JSON数据自动验证。无效的DML JSON数据操作会产生错误.
* 优化的存储格式。存储在JSON列中的JSON文档转换为一种内部格式,允许对Json元素进行快速读取访问.
* MySQL Json类型支持建立索引增加查询性能提升.

2. Json类型所需的存储空间和值范围
类型占用字节最大长度
Json数据长度 + 4 bytes
4G
3. Json相关函数操作
* JSON_OBJECT(string1, string2...) 创建 key-value 类型 Json 对象
mysql> SELECT JSON_OBJECT('k1', 'v1', 'k2', 'v2');
+-------------------------------------+
| JSON_OBJECT('k1', 'v1', 'k2', 'v2') |
+-------------------------------------+
| {"k1": "v1", "k2": "v2"}            |
+-------------------------------------+
1 row in set (0.01 sec)


* JSON_ARRAY(string1, string2...) 创建一个 Json 数组
mysql> SELECT JSON_ARRAY('a', 'b', 'c', 'd');
+--------------------------------+
| JSON_ARRAY('a', 'b', 'c', 'd') |
+--------------------------------+
| ["a", "b", "c", "d"]           |
+--------------------------------+
1 row in set (0.00 sec)


* JSON_TYPE(object) 判断并显示数据类型 [ 值非法会报错显示 ]
mysql>  SELECT JSON_TYPE('"lisea"');
+----------------------+
| JSON_TYPE('"lisea"') |
+----------------------+
| STRING               |
+----------------------+
1 row in set (0.01 sec)

mysql> SELECT JSON_TYPE('["a", "b", 1]');
+----------------------------+
| JSON_TYPE('["a", "b", 1]') |
+----------------------------+
| ARRAY                      |
+----------------------------+
1 row in set (0.01 sec)

mysql> SELECT JSON_TYPE('1');
+----------------+
| JSON_TYPE('1') |
+----------------+
| INTEGER        |
+----------------+
1 row in set (0.00 sec)

mysql> SELECT JSON_TYPE('{"k1":"v1", "k2":"v2"}');
+-------------------------------------+
| JSON_TYPE('{"k1":"v1", "k2":"v2"}') |
+-------------------------------------+
| OBJECT                              |
+-------------------------------------+
1 row in set (0.00 sec)


* JSON_MERGE(doc1,doc2....) 合并多个Json对象
mysql> SELECT JSON_MERGE('{"k1":"v1"}','{ "k2":"v2"}');
+------------------------------------------+
| JSON_MERGE('{"k1":"v1"}','{ "k2":"v2"}') |
+------------------------------------------+
| {"k1": "v1", "k2": "v2"}                 |
+------------------------------------------+
1 row in set (0.04 sec)

mysql> SELECT JSON_MERGE('["k1","k2"]','{ "k3":"v3"}');
+------------------------------------------+
| JSON_MERGE('["k1","k2"]','{ "k3":"v3"}') |
+------------------------------------------+
| ["k1", "k2", {"k3": "v3"}]               |
+------------------------------------------+
1 row in set (0.00 sec)


* JSON_EXTRACT(object, key) 通过Json key方式获取Val值
mysql> SELECT JSON_EXTRACT('{"k1":"v1","k2":"v2"}', '$.k1');
+-----------------------------------------------+
| JSON_EXTRACT('{"k1":"v1","k2":"v2"}', '$.k1') |
+-----------------------------------------------+
| "v1"                                          |
+-----------------------------------------------+
1 row in set (0.01 sec)

mysql> SELECT JSON_EXTRACT('{"k1":"v1","k2":"v2"}', '$.*');
+----------------------------------------------+
| JSON_EXTRACT('{"k1":"v1","k2":"v2"}', '$.*') |
+----------------------------------------------+
| ["v1", "v2"]                                 |
+----------------------------------------------+
1 row in set (0.00 sec)


* JSON_SET(object, key, val, key, val....) 通过key修改val值
mysql> SELECT JSON_SET('{"k1":"v1","k2":"v2"}', '$.k1', 'lisea', '$.k2', 'hello');
+---------------------------------------------------------------------+
| JSON_SET('{"k1":"v1","k2":"v2"}', '$.k1', 'lisea', '$.k2', 'hello') |
+---------------------------------------------------------------------+
| {"k1": "lisea", "k2": "hello"}                                      |
+---------------------------------------------------------------------+
1 row in set (0.00 sec)


* JSON_INSERT(object, key, val)添加新值到对象中,如果key已存在,不替换val
mysql> SELECT JSON_INSERT('{"k1":"v1","k2":"v2"}', '$.k1', 'hello');
+-------------------------------------------------------+
| JSON_INSERT('{"k1":"v1","k2":"v2"}', '$.k1', 'hello') |
+-------------------------------------------------------+
| {"k1": "v1", "k2": "v2"}                              |
+-------------------------------------------------------+
1 row in set (0.03 sec)

mysql> SELECT JSON_INSERT('{"k1":"v1","k2":"v2"}', '$.k3', 'v3');
+----------------------------------------------------+
| JSON_INSERT('{"k1":"v1","k2":"v2"}', '$.k3', 'v3') |
+----------------------------------------------------+
| {"k1": "v1", "k2": "v2", "k3": "v3"}               |
+----------------------------------------------------+
1 row in set (0.02 sec)


* JSON_REPLACE() 替换现有的值并忽略新的值
mysql> SELECT JSON_REPLACE('{"k1":"v1","k2":"v2"}', '$.k1', 'hello', '$.k3', 'v3');
+----------------------------------------------------------------------+
| JSON_REPLACE('{"k1":"v1","k2":"v2"}', '$.k1', 'hello', '$.k3', 'v3') |
+----------------------------------------------------------------------+
| {"k1": "hello", "k2": "v2"}                                          |
+----------------------------------------------------------------------+
1 row in set (0.01 sec)


* JSON_REMOVE() 通过key移除
mysql> SELECT JSON_REMOVE('{"k1":"v1","k2":"v2"}', '$.k1');
+----------------------------------------------+
| JSON_REMOVE('{"k1":"v1","k2":"v2"}', '$.k1') |
+----------------------------------------------+
| {"k2": "v2"}                                 |
+----------------------------------------------+
1 row in set (0.00 sec)


* JSON_KEYS() 获取所有key
mysql> SELECT JSON_KEYS('{"k1":"v1","k2":"v2"}');
+------------------------------------+
| JSON_KEYS('{"k1":"v1","k2":"v2"}') |
+------------------------------------+
| ["k1", "k2"]                       |
+------------------------------------+
1 row in set (0.03 sec)


* JSON_UNQUOTE() 去掉值的引号
mysql> SELECT JSON_UNQUOTE('"hello"');
+-------------------------+
| JSON_UNQUOTE('"hello"') |
+-------------------------+
| hello                   |
+-------------------------+
1 row in set (0.01 sec)


* JSON_DEPTH() 获取Json对象的深度
mysql> SELECT JSON_DEPTH('{"k1":"v1","k2":"v2"}');
+-------------------------------------+
| JSON_DEPTH('{"k1":"v1","k2":"v2"}') |
+-------------------------------------+
|                                   2 |
+-------------------------------------+
1 row in set (0.00 sec)

mysql> SELECT JSON_DEPTH('{}');
+------------------+
| JSON_DEPTH('{}') |
+------------------+
|                1 |
+------------------+
1 row in set (0.01 sec)


* JSON_VALID() 判断是否为有效的json格式
mysql> SELECT JSON_VALID('{"k1":"v1"}');
+---------------------------+
| JSON_VALID('{"k1":"v1"}') |
+---------------------------+
|                         1 |
+---------------------------+
1 row in set (0.00 sec)

mysql> SELECT JSON_VALID('{"k1":"v1"');
+--------------------------+
| JSON_VALID('{"k1":"v1"') |
+--------------------------+
|                        0 |
+--------------------------+
1 row in set (0.00 sec)


* JSON_LENGTH() 获取指定路径下的长度
长度的计算规则:
标量的长度为1
json array的长度为元素的个数
json object的长度为key的个数
mysql> SELECT JSON_LENGTH('[1, 2, 3]');
+--------------------------+
| JSON_LENGTH('[1, 2, 3]') |
+--------------------------+
|                        3 |
+--------------------------+
1 row in set (0.00 sec)

mysql> SELECT JSON_LENGTH('{"k1":"v1", "k2":"v2"}');
+---------------------------------------+
| JSON_LENGTH('{"k1":"v1", "k2":"v2"}') |
+---------------------------------------+
|                                     2 |
+---------------------------------------+
1 row in set (0.00 sec)


* JSON_SEARCH(json_doc, one_or_all, search_str[, escape_char[, path] ...])
   查询包含指定字符串的paths,并作为一个json array返回 
   one_or_all:"one"表示查询到一个即返回;"all"表示查询所有。   search_str:要查询的字符串。 可以用LIKE里的'%'或‘_’匹配。   path:在指定path下查。
mysql> SELECT JSON_SEARCH('{"k1":"v1", "k2":"v2", "k3":"v2"}', 'one', 'v2%');
+----------------------------------------------------------------+
| JSON_SEARCH('{"k1":"v1", "k2":"v2", "k3":"v2"}', 'one', 'v2%') |
+----------------------------------------------------------------+
| "$.k2"                                                         |
+----------------------------------------------------------------+
1 row in set (0.00 sec)

mysql> SELECT JSON_SEARCH('{"k1":"v1", "k2":"v2", "k3":"v2"}', 'all', 'v2%');
+----------------------------------------------------------------+
| JSON_SEARCH('{"k1":"v1", "k2":"v2", "k3":"v2"}', 'all', 'v2%') |
+----------------------------------------------------------------+
| ["$.k2", "$.k3"]                                               |
+----------------------------------------------------------------+
1 row in set (0.01 sec)

4. 总结
以需求驱动技术,技术本身没有优略之分,只有业务之分。
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