sqlserver2016版添加的json操作

declare @json nvarchar(max) = ‘{
  "id": 1,
  "name": "ki",
  "age": 22,
  "son": {
    "name": "son",
    "age": 1
  },
  "list": [
    {
      "city": "上海",
      "area": "松江"
    },
    {
      "city": "上海",
      "area": "松江"
    }
  ]
}‘;

--结果：1-json格式正确；0-json格式错误
declare @json1 nvarchar(max) = ‘{"id":1,"name":"ki","age":22,"son":{"name":"son","age":1},"list":[{"city":"上海","area":"松江"},{"city":"上海","area":"松江"}]}‘
print isjson(@json1)

declare @json2 nvarchar(max) = ‘{"id":1,"name":"ki","age":22,"son":{"name":"son","age":1},"list":[{"city":"上海","area":"松江"},{"city":"上海","area":"松江"}]}‘
select JSON_VALUE(@json2,‘$.name‘)

declare @json3 nvarchar(max) = ‘{"id":1,"name":"ki","age":22,"son":{"name":"son","age":1},"list":[{"city":"上海","area":"松江"},{"city":"上海","area":"松江"}]}‘
select JSON_QUERY(@json3,‘$.son‘)
select JSON_QUERY(@json3,‘$.list‘)

结果1：{"name":"son","age":1}
结果2：[{"city":"上海","area":"松江"},{"city":"上海","area":"松江"}]

--如果没有数组，可以将OUTER APPLY OPENJSON() WITH()省略
declare @json4 nvarchar(max) = ‘{"id":1,"name":"ki","age":22,"son":{"name":"son","age":1},"list":[{"city":"上海","area":"松江"},{"city":"上海","area":"松江"}]}‘

select * from openjson(@json4)
with(
    id nvarchar(500) ‘strict $.id‘,--strict表示json中必须包含该字段
    name nvarchar(500) ‘strict $.name‘,
    age nvarchar(500) ‘strict $.age‘,
    son_name nvarchar(500) ‘strict $.son.name‘,
    son_age nvarchar(500) ‘strict $.son.age‘,
    list nvarchar(max) ‘$.list‘ AS JSON--必须是nvarchar(max) 类型
)
OUTER APPLY OPENJSON(list)
  WITH(
            city varchar(80) ‘$.city‘,
            area varchar(80) ‘$.area‘
            );

--for json auto 安装原列名自动转化
--for json path 指定输出json的key名称,并可以控制输出字段
-- for json auto,WITHOUT_ARRAY_WRAPPER    跟在for json auto/path后可以删除中括号
select * from student for json auto
select * from student for json auto,WITHOUT_ARRAY_WRAPPER
select 
         id as uniqueId,
         name,
         name as ‘info.name‘
         from student for json path

结果：1[{"id":1,"name":"ki","age":34,"create_time":"2020-09-01T11:12:43.230"},{"id":2,"name":"李四","age":33,"create_time":"2020-09-01T11:12:43.230"},{"id":3,"name":"ki","age":34,"create_time":"2020-09-01T11:12:50.987"},{"id":4,"name":"李四a","age":33,"create_time":"2020-09-01T11:12:50.987"}]
结果2：{"id":1,"name":"ki","age":34,"create_time":"2020-09-01T11:12:43.230"},{"id":2,"name":"李四","age":33,"create_time":"2020-09-01T11:12:43.230"},{"id":3,"name":"ki","age":34,"create_time":"2020-09-01T11:12:50.987"},{"id":4,"name":"李四a","age":33,"create_time":"2020-09-01T11:12:50.987"}
结果3：[{"uniqueId":1,"name":"ki","info":{"name":"ki"}},{"uniqueId":2,"name":"李四","info":{"name":"李四"}},{"uniqueId":3,"name":"ki","info":{"name":"ki"}},{"uniqueId":4,"name":"李四a","info":{"name":"李四a"}}]

/*
 Navicat Premium Data Transfer

 Source Server         : localSqlServer
 Source Server Type    : SQL Server
 Source Server Version : 14001000
 Source Host           : 127.0.0.1:1433
 Source Catalog        : custom
 Source Schema         : dbo

 Target Server Type    : SQL Server
 Target Server Version : 14001000
 File Encoding         : 65001

 Date: 19/01/2021 17:03:20
*/


-- ----------------------------
-- Table structure for student
-- ----------------------------
IF EXISTS (SELECT * FROM sys.all_objects WHERE object_id = OBJECT_ID(N‘[dbo].[student]‘) AND type IN (‘U‘))
    DROP TABLE [dbo].[student]
GO

CREATE TABLE [dbo].[student] (
  [id] int  IDENTITY(1,1) NOT NULL,
  [name] varchar(5) COLLATE Chinese_PRC_CI_AS  NULL,
  [age] int  NULL,
  [create_time] datetime  NULL
)
GO

ALTER TABLE [dbo].[student] SET (LOCK_ESCALATION = TABLE)
GO


-- ----------------------------
-- Records of student
-- ----------------------------
SET IDENTITY_INSERT [dbo].[student] ON
GO

INSERT INTO [dbo].[student] ([id], [name], [age], [create_time]) VALUES (N‘1‘, N‘ki‘, N‘34‘, N‘2020-09-01 11:12:43.230‘)
GO

INSERT INTO [dbo].[student] ([id], [name], [age], [create_time]) VALUES (N‘2‘, N‘李四‘, N‘33‘, N‘2020-09-01 11:12:43.230‘)
GO

INSERT INTO [dbo].[student] ([id], [name], [age], [create_time]) VALUES (N‘3‘, N‘ki‘, N‘34‘, N‘2020-09-01 11:12:50.987‘)
GO

INSERT INTO [dbo].[student] ([id], [name], [age], [create_time]) VALUES (N‘4‘, N‘李四a‘, N‘33‘, N‘2020-09-01 11:12:50.987‘)
GO

SET IDENTITY_INSERT [dbo].[student] OFF
GO


-- ----------------------------
-- Auto increment value for student
-- ----------------------------
DBCC CHECKIDENT (‘[dbo].[student]‘, RESEED, 6)
GO


-- ----------------------------
-- Primary Key structure for table student
-- ----------------------------
ALTER TABLE [dbo].[student] ADD CONSTRAINT [PK__student__3213E83F18AD2C2B] PRIMARY KEY CLUSTERED ([id])
WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON)  
ON [PRIMARY]
GO