SQL 数据库 本文概述了 SQL Server、Azure SQL 数据库、Azure SQL 托管实例、Azure Synapse Analytics 和 Microsoft Fabric 中的 SQL 数据库中的文本数据格式 JSON。 备注 JSON 支持需要数据库兼容性级别130 或更高版本。 概述 JSON 是一种流行的数据格式,用于在现代 Web 和移动应
Format to Json 把query result serialize to json SELECT TOP 1 * FROM Country FOR JSON AUTO, INCLUDE_NULL_VALUES, WITHOUT_ARRAY_WRAPPER; {"CountryId":6,"Name":"Malaysia122"} AUTO 是一种 mode, 它会依据你的 join 把 child table 变成一个 child array, 或者 parent table 变成 object 哦. 很...
SQL SELECTJSON_QUERY(@j,'$.creditcards[*].type'WITHARRAYWRAPPER); The following table shows various examples of SQL/JSON path expression with wildcard and the return value usingJSON_QUERY WITH ARRAY WRAPPER. PathReturn value $.creditcards[0].type["jcb"] ...
1 Select * from TableOfJSONString You’ll notice that I’ve given you a ‘parent_ID’ to give you the intrinsic order of the rows, since these things can be significant in a JSON document. Of course, you can do some dynamic SQL to deal with any JSON String, but I don’t like ...
sql server clr json to table 背景 SQL SERVER 2016 之前版本不支持 直接解析json 步骤: 1 vs 数据库项目 2 生成dll 3 加入信任 DECLARE@hashASBINARY(64)=(SELECTHASHBYTES('SHA2_512', (SELECT*FROMOPENROWSET(BULK'C:\Users\BianGX\source\repos\JsonSQLCLR\JsonSQLCLR\bin\Debug\JsonSQLCLR.dll', ...
SQL Server parseJSON函数将JSON解析成Table SQL Server parseJSON函数将JSON解析成Table 在SQL Server 2016版本之后,微软引入了一种新的函数PARSEJSON(),该函数允许将JSON数据解析成表格形式。这个函数的引入使得在SQL Server中处理JSON数据变得更加容易和灵活。在本篇文章中,我们将介绍如何使用PARSEJSON()函数以及一些常见...
SQL Server 2025 (17.x) Preview expands ANSI SQL/JSON path expression to support an array wildcard. The Array wildcard allows you to specify all elements, range of elements, list of elements or the special token "last" to indicate the last value in a JSON array. SQL/JSON arrays use zer...
Use JSON functions to validate or change JSON documents, or to extract basic or complex values. Expand table FunctionDescription ISJSON Tests whether a string contains valid JSON. JSON_ARRAY Constructs JSON array text from zero or more expressions. JSON_ARRAYAGG Constructs a JSON array from an...
The FOR JSON clause uses the following rules to convert SQL Server data types to JSON types in the JSON output. Expand table CategorySQL Server data typeJSON data type Character & string types char, nchar, varchar, nvarchar string Numeric types int, bigint, float...
The full list of supported values can be found in the 'Name' column of the table of encodings in the following reference: https://go.microsoft.com/fwlink/?linkid=861078. Type: string (or Expression with resultType string). Parameters: encodingName - the encodingName value to set. ...