OPENJSON( jsonExpression [ , path ] ) [ <with_clause> ] <with_clause> ::= WITH ( { colName type [ column_path ] [ AS JSON ] } [ ,...n ] ) 1. 2. 下面,我们逐步探索OPENJSON的解析过程 3.1 直接使用OpenJson(’{}’) 默认情况下OPENJSON会
SELECT * FROM YourTable CROSS APPLY OPENJSON(YourColumn) WITH ( Column1 varchar(50), Column2 int, Column3 datetime ) AS json_data 在上面的查询中,YourTable是要查询的表名,YourColumn是包含JSON文本的列名。WITH子句用于指定要返回的列,并为每个列提供一个列定义。在这个示例中,我们假设JSON文本...
-- 创建目标表CREATETABLEEmployees(IdINT,NameVARCHAR(50),DepartmentVARCHAR(50));-- 读取 JSON 文件DECLARE@jsonNVARCHAR(MAX);SELECT@json=BulkColumnFROMOPENROWSET(BULK'C:\path\to\employees.json',SINGLE_CLOB)asj;-- 解析 JSON 数据并插入到目标表中INSERTINTOEmployees(Id,Name,Department)SELECTId,Name,De...
OPENJSON(BULK) 會讀取檔案的內容,並將它傳回至 BulkColumn。 您也可以將檔案內容載入區域變數或資料表中,如下列範例所示: SQL 複製 -- Load file contents into a variable DECLARE @json NVARCHAR(MAX); SELECT @json = BulkColumn FROM OPENROWSET(BULK 'C:\JSON\Books\book.json', SINGLE_CLOB) as j ...
OPENJSON( jsonExpression [ , path ] ) [ <with_clause> ] <with_clause> ::= WITH ( { colName type [ column_path ] [ AS JSON ] } [ ,...n ] ) The OPENJSON table-valued function parses the jsonExpression provided as the first argument and returns one or more rows containing data...
declare @jsonnvarchar(max)SELECT@json=[CustomFields]FROM[WideWorldImporters].[Application].[People]where PersonID=8select*fromopenjson(@json) 结果集在表格结果中的显示: 用另一种方式来查询这条记录,前提是需要知道在JSON数据结构和关键的名字,使用JSON_VALUE和JSON_QUERY函数: ...
SQL Server 2016 在这一点上达到了新高度,允许转换表格行中的 JSON 数据。此功能可以节省代码所需的大量工作和 CPU 周期,因为现在可将原始 JSON 文本推送到数据库,而无需先在应用程序代码中将其分析为 C# 对象,然后再通过 EF 或直接 ADO.NET 调用进行传递。实现这一目标的关键是全新的 OPENJSON 函数: ...
The two elements in the JSON array are converted into two rows in the returned table. For each column, specified by using the colName type json_path syntax, OPENJSON converts the value found in each array element on the specified path to the specified type. In this exa...
You can easily insert, update, or merge results from JSON text into a SQL Server table. Analyze JSON data with SQL queries If you must filter or aggregate JSON data for reporting purposes, you can use OPENJSON to transform JSON to relational format. You can then use standard Transact-SQL ...
OPENJSONtransforms the array of JSON objects into a table in which each object is represented as one row, and key/value pairs are returned as cells. The output observes the following rules: OPENJSONconverts JSON values to the types that are specified in theWITHclause. ...