当前位置: 首页 > news >正文

手机一键生成户型图排名优化怎么做

手机一键生成户型图,排名优化怎么做,成都市最新疫情,网站开发行业前景MySQL数据类型之JSON SON类型是MySQL 5.7版本新增的数据类型,用好JSON数据类型可以有效解决很多业务中实际问题。 使用JSON数据类型,推荐用MySQL 8.0.17以上的版本,性能更好,同时也支持Multi-Valued Indexes; JSON数…

MySQL数据类型之JSON

SON类型是MySQL 5.7版本新增的数据类型,用好JSON数据类型可以有效解决很多业务中实际问题。

使用JSON数据类型,推荐用MySQL 8.0.17以上的版本,性能更好,同时也支持Multi-Valued Indexes;

JSON数据类型的好处是无须预先定义列,数据本身就具有很好的描述性;

不要将有明显关系型的数据用JSON存储,如用户余额、用户姓名、用户身份证等,这些都是每个用户必须包含的数据;

JSON数据类型推荐使用在不经常更新的静态数据存储。

JSON数据类型

mysql> create table json_user(id int primary key auto_increment, data json);
Query OK, 0 rows affected (0.09 sec)mysql> insert into json_user values(0, '{"name":"morris","age":18,"address":"china"}');
Query OK, 1 row affected (0.03 sec)mysql> insert into json_user values(0, '{"name":"tom","age":16,"mail":"tomcat@google.com"}');
Query OK, 1 row affected (0.01 sec)mysql> select * from json_user;
+----+---------------------------------------------------------+
| id | data                                                    |
+----+---------------------------------------------------------+
|  1 | {"age": 18, "name": "morris", "address": "china"}       |
|  2 | {"age": 16, "mail": "tomcat@google.com", "name": "tom"} |
+----+---------------------------------------------------------+
2 rows in set (0.01 sec)

常见JSON函数的使用
json_extract抽取字段

mysql> select json_extract('[1, 2, 3, [4, 5]]', '$[1]');
+-------------------------------------------+
| json_extract('[1, 2, 3, [4, 5]]', '$[1]') |
+-------------------------------------------+
| 2                                         |
+-------------------------------------------+
1 row in set (0.02 sec)mysql> select json_extract('{"age": 18, "name": "morris", "address": "china"}', '$.name');
+-----------------------------------------------------------------------------+
| json_extract('{"age": 18, "name": "morris", "address": "china"}', '$.name') |
+-----------------------------------------------------------------------------+
| "morris"                                                                    |
+-----------------------------------------------------------------------------+
1 row in set (0.00 sec)mysql> select data->"$.name" from json_user;
+----------------+
| data->"$.name" |
+----------------+
| "morris"       |
| "tom"          |
+----------------+
2 rows in set (0.00 sec)

json_object将对象转为json

mysql> select json_object('name','bob','age','22','email','bob@sina.com');
+-------------------------------------------------------------+
| json_object('name','bob','age','22','email','bob@sina.com') |
+-------------------------------------------------------------+
| {"age": "22", "name": "bob", "email": "bob@sina.com"}       |
+-------------------------------------------------------------+
1 row in set (0.01 sec)

json_insert插入数据
key存在则忽略,不存在则插入。

mysql> select json_insert('{"age": 18, "name": "morris", "address": "china"}', '$.male', 'male', '$.age', 22);
+-------------------------------------------------------------------------------------------------+
| json_insert('{"age": 18, "name": "morris", "address": "china"}', '$.male', 'male', '$.age', 22) |
+-------------------------------------------------------------------------------------------------+
| {"age": 18, "male": "male", "name": "morris", "address": "china"}                               |
+-------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)

json_merge合并数据
json_merge(已不推荐使用)与json_merge_preserve类似,相同的key会合并为数组。

json_merge_patch中相同的key会使用后面的key替换前面的key。

mysql> select json_merge_patch('{"name": "enjoy"}', '{"id": 47, "name":"morris"}');
+----------------------------------------------------------------------+
| json_merge_patch('{"name": "enjoy"}', '{"id": 47, "name":"morris"}') |
+----------------------------------------------------------------------+
| {"id": 47, "name": "morris"}                                         |
+----------------------------------------------------------------------+
1 row in set (0.00 sec)mysql> select json_merge('{"name": "enjoy"}', '{"id": 47, "name":"morris"}');
+----------------------------------------------------------------+
| json_merge('{"name": "enjoy"}', '{"id": 47, "name":"morris"}') |
+----------------------------------------------------------------+
| {"id": 47, "name": ["enjoy", "morris"]}                        |
+----------------------------------------------------------------+
1 row in set, 1 warning (0.00 sec)mysql> select json_merge_preserve('{"name": "enjoy"}', '{"id": 47, "name":"morris"}');
+-------------------------------------------------------------------------+
| json_merge_preserve('{"name": "enjoy"}', '{"id": 47, "name":"morris"}') |
+-------------------------------------------------------------------------+
| {"id": 47, "name": ["enjoy", "morris"]}                                 |
+-------------------------------------------------------------------------+
1 row in set (0.00 sec)

json_array_append后面追加元素

mysql> select json_array_append('["a", "b", "c"]', "$", "x");
+------------------------------------------------+
| json_array_append('["a", "b", "c"]', "$", "x") |
+------------------------------------------------+
| ["a", "b", "c", "x"]                           |
+------------------------------------------------+
1 row in set (0.00 sec)

json_array_insert里面插入元素

mysql> select json_array_insert('["a", "b", "c"]', "$[1]", "x");
+---------------------------------------------------+
| json_array_insert('["a", "b", "c"]', "$[1]", "x") |
+---------------------------------------------------+
| ["a", "x", "b", "c"]                              |
+---------------------------------------------------+
1 row in set (0.00 sec)

json_contains包含某个json子串

mysql> select json_contains('{"a":1,"b":4}','{"a":1}');
+------------------------------------------+
| json_contains('{"a":1,"b":4}','{"a":1}') |
+------------------------------------------+
|                                        1 |
+------------------------------------------+
1 row in set (0.00 sec)mysql> select json_contains('{"age": 18, "name": "morris", "address": "china"}', '18', '$.name');
+------------------------------------------------------------------------------------+
| json_contains('{"age": 18, "name": "morris", "address": "china"}', '18', '$.name') |
+------------------------------------------------------------------------------------+
|                                                                                  0 |
+------------------------------------------------------------------------------------+
1 row in set (0.00 sec)

json_array创建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_contains_path判断json是否包含某个key


mysql> select json_contains_path('{"a": 1, "b": 2, "c": {"d": 4}}', 'one', '$.a', '$.e');
+----------------------------------------------------------------------------+
| json_contains_path('{"a": 1, "b": 2, "c": {"d": 4}}', 'one', '$.a', '$.e') |
+----------------------------------------------------------------------------+
|                                                                          1 |
+----------------------------------------------------------------------------+
1 row in set (0.01 sec)mysql> select json_contains_path('{"a": 1, "b": 2, "c": {"d": 4}}', 'all', '$.a', '$.e');
+----------------------------------------------------------------------------+
| json_contains_path('{"a": 1, "b": 2, "c": {"d": 4}}', 'all', '$.a', '$.e') |
+----------------------------------------------------------------------------+
|                                                                          0 |
+----------------------------------------------------------------------------+
1 row in set (0.00 sec)

json_keys查询json所有的key

mysql> select json_keys('{"a": 1, "b": 2, "c": {"d": 4}}');
+----------------------------------------------+
| json_keys('{"a": 1, "b": 2, "c": {"d": 4}}') |
+----------------------------------------------+
| ["a", "b", "c"]                              |
+----------------------------------------------+
1 row in set (0.00 sec)

json_pretty格式化json

mysql> select json_pretty('{"a": 1, "b": 2, "c": {"d": 4}}');
+-------------------------------------------------+
| json_pretty('{"a": 1, "b": 2, "c": {"d": 4}}')  |
+-------------------------------------------------+
| {"a": 1,"b": 2,"c": {"d": 4}
} |
+-------------------------------------------------+
1 row in set (0.00 sec)

json_depth查询json的深度

mysql> select json_depth('{"a": 1, "b": 2, "c": {"d": 4}}');
+-----------------------------------------------+
| json_depth('{"a": 1, "b": 2, "c": {"d": 4}}') |
+-----------------------------------------------+
|                                             3 |
+-----------------------------------------------+
1 row in set (0.00 sec)

json_length返回json元素的个数

mysql> select json_length('{"a": 1, "b": 2, "c": {"d": 4}}');
+------------------------------------------------+
| json_length('{"a": 1, "b": 2, "c": {"d": 4}}') |
+------------------------------------------------+
|                                              3 |
+------------------------------------------------+
1 row in set (0.00 sec)
————————————————

json_remove根据key删除元素

mysql> select json_remove('{"a": 1, "b": 2, "c": {"d": 4}}', "$.c");
+-------------------------------------------------------+
| json_remove('{"a": 1, "b": 2, "c": {"d": 4}}', "$.c") |
+-------------------------------------------------------+
| {"a": 1, "b": 2}                                      |
+-------------------------------------------------------+
1 row in set (0.00 sec)

json_replace替换元素

mysql> select json_replace('{"a": 1, "b": 2, "c": {"d": 4}}', "$.c", "cc");
+--------------------------------------------------------------+
| json_replace('{"a": 1, "b": 2, "c": {"d": 4}}', "$.c", "cc") |
+--------------------------------------------------------------+
| {"a": 1, "b": 2, "c": "cc"}                                  |
+--------------------------------------------------------------+
1 row in set (0.01 sec)

json_search搜索元素

mysql> select json_search('["abc", [{"k": "10"}, "def"], {"x":"abc"}, {"y":"bcd"}]', 'one', 'abc');
+--------------------------------------------------------------------------------------+
| json_search('["abc", [{"k": "10"}, "def"], {"x":"abc"}, {"y":"bcd"}]', 'one', 'abc') |
+--------------------------------------------------------------------------------------+
| "$[0]"                                                                               |
+--------------------------------------------------------------------------------------+
1 row in set (0.01 sec)mysql> select json_search('["abc", [{"k": "10"}, "def"], {"x":"abc"}, {"y":"bcd"}]', 'all', 'abc');
+--------------------------------------------------------------------------------------+
| json_search('["abc", [{"k": "10"}, "def"], {"x":"abc"}, {"y":"bcd"}]', 'all', 'abc') |
+--------------------------------------------------------------------------------------+
| ["$[0]", "$[2].x"]                                                                   |
+--------------------------------------------------------------------------------------+
1 row in set (0.00 sec)

json_set往json中插入元素
存在则覆盖,不存在则新增。

mysql> select json_set('{"a": 1, "b": 2, "c": {"d": 4}}', "$.a", "aaa", "$.e", "eee");
+-------------------------------------------------------------------------+
| json_set('{"a": 1, "b": 2, "c": {"d": 4}}', "$.a", "aaa", "$.e", "eee") |
+-------------------------------------------------------------------------+
| {"a": "aaa", "b": 2, "c": {"d": 4}, "e": "eee"}                         |
+-------------------------------------------------------------------------+
1 row in set (0.00 sec)

json_storage_size查看json存储占用的空间大小

mysql> select json_storage_size('{"a": 1, "b": 2, "c": {"d": 4}}');
+------------------------------------------------------+
| json_storage_size('{"a": 1, "b": 2, "c": {"d": 4}}') |
+------------------------------------------------------+
|                                                   41 |
+------------------------------------------------------+
1 row in set (0.00 sec)

json_type查询json的类型

mysql> select json_type('{"a": 1, "b": 2, "c": {"d": 4}}');
+----------------------------------------------+
| json_type('{"a": 1, "b": 2, "c": {"d": 4}}') |
+----------------------------------------------+
| OBJECT                                       |
+----------------------------------------------+
1 row in set (0.01 sec)

json_valid判断json是否是有效的

mysql> select json_valid('{"a": 1, "b": 2, "c": {"d": 4}}');
+-----------------------------------------------+
| json_valid('{"a": 1, "b": 2, "c": {"d": 4}}') |
+-----------------------------------------------+
|                                             1 |
+-----------------------------------------------+
1 row in set (0.00 sec)

JSON索引
JSON类型数据本身无法直接创建索引,需要将需要索引的JSON数据重新生成虚拟列(Virtual Columns)之后,对该列进行索引。

mysql> create table test_json_index(id int primary key auto_increment, data json, gen_col varchar(10) generated always as (json_extract(data, '$.name')));
mysql> insert into test_json_index(data) values('{"name":"morris","age":18,"address":"china"}');
mysql> insert into test_json_index(data) values('{"name":"tom","age":16,"mail":"tomcat@google.com"}');
mysql> select * from test_json_index;
+----+---------------------------------------------------------+----------+
| id | data                                                    | gen_col  |
+----+---------------------------------------------------------+----------+
|  1 | {"age": 18, "name": "morris", "address": "china"}       | "morris" |
|  2 | {"age": 16, "mail": "tomcat@google.com", "name": "tom"} | "tom"    |
+----+---------------------------------------------------------+----------+
mysql> select * from test_json_index where gen_col='morris'; -- 查不到数据
mysql> select * from test_json_index where gen_col='"morris"';
+----+---------------------------------------------------+----------+
| id | data                                              | gen_col  |
+----+---------------------------------------------------+----------+
|  1 | {"age": 18, "name": "morris", "address": "china"} | "morris" |
+----+---------------------------------------------------+----------+

要想在查询时不加引号,可以在加索引时使用json_unquote去除引号。

mysql> create table test_json_index2(id int primary key auto_increment, data json, gen_col varchar(10) generated always as (json_unquote(json_extract(data, '$.name'))));
Query OK, 0 rows affected (0.08 sec)mysql> create table test_json_index3(id int primary key auto_increment, data json, gen_col varchar(10) generated always as (JSON_UNQUOTE(data->'$.name')));
Query OK, 0 rows affected (0.08 sec)mysql> create table test_json_index4(id int primary key auto_increment, data json, gen_col varchar(10) generated always as (data->>'$.name'));
Query OK, 0 rows affected (0.05 sec)
http://www.mmbaike.com/news/58686.html

相关文章:

  • 网站注册商标属于哪一类怎样做一个网站
  • 网站建设信息服务费计入什么科目青海网站seo
  • 网站制作维护发帖效果好的网站
  • 建设银行粤通卡网站网站排名点击工具
  • 免费房地产网站模板指数基金怎么买
  • 本地合肥网站建设semester是什么意思
  • 上海那家公司做响应式网站建设郑州网站seo服务
  • 网站格式有哪些内容惠州seo计费管理
  • 卖网站怎样做北大青鸟培训机构官网
  • 婚恋网站如何做推广搜狗搜索推广
  • 达内教育口碑怎么样如何做seo整站优化
  • 上海华谊集团建设有限公司网站南宁seo网络推广
  • 网站的分类有哪些如何做外贸网站的推广
  • 什么网站做海报赚钱深圳全网推广公司
  • html好看的个人主页成都网站seo厂家
  • 轻松网站建设爱站网为什么不能用了
  • 旅游攻略那个网站做的好百度竞价点击工具
  • 怎嘛做网站网站快速收录的方法
  • 网站建设的思想日本进口yamawa
  • 学校网站开发需求西安高端网站建设
  • 行唐县做网站电话太原seo外包平台
  • 最近的新闻热点事件知名的搜索引擎优化
  • wordpress有的主题很暗seo新闻
  • wordpress图文调用网站seo快速优化
  • 做网站图片要求百度服务中心官网
  • 大型网站建设洛阳网站制作杭州seo网站排名优化
  • 做网站工资待遇seo网络推广软件
  • 厦门专业网站建设公司建网站专业
  • 岳阳网站建设制作软文营销常用的方式
  • 贵阳市做网站的公司有哪些去哪里找需要推广的app