在SQL Server中处理JSON数据是一个常见的需求,尤其是在处理现代应用程序中的数据交换格式时。SQL Server从2016版本开始原生支持JSON数据的解析和查询。以下是将JSON数组读入行的基础概念和相关操作: 基础概念 JSON (JavaScript Object Notation) 是一种轻量级的数据交换格式,易于人阅读和编写,同时也易于机器解析和生成。
SQL Server 是在 2016 版本开始支持 JSON 格式的. 之前写过一些小笔记 主要参考 JSON data in SQL Server Index JSON data Format Query Results as JSON with FOR JSON (SQL Server) 实战 创建JSON Column CREATE TABLE TestJson ( Id int IDENTITY CONSTRAINT PK_TestJson_Id PRIMARY KEY, JsonData nvarchar...
SQL 複製 SELECT BulkColumn FROM OPENROWSET(BULK 'C:\JSON\Books\book.json', SINGLE_CLOB) as j; 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...
/* [0 -- Root] if the element has a parent then it is in this column. The document is the ultimate parent, so you can get the structure from recursing from the document */name nvarchar
operator: "inDateRange", values: [ "2021-11-12", ], member: "Products.createdDate", }, { operator: "equals", values: [ "Scotland", ], member: "Products.region", }, ], timezone: "UTC", order: [], timeDimensions: [],
1. Sql语句优化原则 优化需要优化的Query 定位优化对象性能瓶颈 从Explain入手 尽可能在索引中完成排序 只取自己需要的Column 尽可能避免复杂的join和子查询 2. 优化limit select * from test1 order by id limit 99999,10 1. 原语句虽然使用了id索引,但是相当于从第一行定位到99999行再去扫描后10行,相当于扫描...
In the following example, the query uses both relational and JSON data (stored in a column named jsonCol) from a table called People: SQL Copy SELECT Name, Surname, JSON_VALUE(jsonCol, '$.info.address.PostCode') AS PostCode, JSON_VALUE(jsonCol, '$.info.address."Address Line 1"') ...
foreach(varcincountries) {// Serialize the C# object to JSONvarjson = JsonConvert.SerializeObject(c);// Save content to the databaserecord.JsonColumn = json; } 还可以使用实体框架 (EF) 将 JSON 数据保存到数据库表的一列中。 SQL Server 2016 在这一点上达到了新高度,允许转换表格行中的...
Declare @sql nvarchar(MAX); Declare @totalRecord int; --计算总记录数 if (@SqlWhere='' or @sqlWhere=NULL) set @sql = 'select @totalRecord = count(*) from ' + @TableName else set @sql = 'select @totalRecord = count(*) from ' + @TableName + ' where ' + @sqlWhere ...
The simplest way to store JSON documents in SQL Server or Azure SQL Database is to create a two-column table that contains the ID of the document and the content of the document. For example:SQL Copy create table WebSite.Logs ( [_id] bigint primary key identity, [log] nvarchar(max...