DECLARE @FirstObject INT , --the index of the first open bracket found in the JSON string @OpenDelimiter INT ,--the index of the next open bracket found in the JSON string @NextOpenDelimiter INT ,--the index of subsequent open bracket found in the JSON string @NextCloseDelimiter INT ,-...
/* firstly we process all strings. This is done because [{} and ] aren't escaped in strings, which complicates an iterative parse. */ WHILE 1 = 1 /* forever until there is nothing more to do */ BEGIN SET @start = PATINDEX('%[^a-zA-Z]["]%', @json collate SQL_Latin1_Gener...
@type='object';ELSESELECT@nextclosedelimiterChar=']',@type='array';SET@opendelimiter=@nextopendelimiter;END/* and parse out the list or name/value pairs */SET@contents=SUBSTRING(@json,@opendelimiter+1,@nextclosedelimiter-@opendelimiter-1);SET@json=STUFF(@json,@opendelimiter,@nextclosedelimit...
The OPENJSON rowset function converts JSON text into a set of rows and columns. After you transform a JSON collection into a rowset with OPENJSON, you can run any SQL query on the returned data or insert it into a SQL Server table. For more information about working ...
* | select array_column, a from log, unnest( cast( json_parse(array_column) as array(bigint) ) ) as t(a) 上述SQL把数组展开成多行数字,unnest( cast( json_parse(array_column) as array(bigint) ) ) as t(a),unnest语法把数组展开,以t来命名新生成的表,使用a来引用展开后的列。结果如下...
对SQL Server表中的parse列使用JSON_值 sql json sql-server tsql 我以前从未在SQL Server中使用过JSON,所以我需要一些帮助。 我写了一段简单的代码: DECLARE @json NVARCHAR(4000) SET @json = N'{ "id":"40476", "tags":[ { "id":"5f5883", }, { "id":"5fc8", } ], "type":"student",...
[转]在SqlServer中解析JSON数据CREATE FUNCTION dbo . parseJSON ( @JSON NVARCHAR ( MAX )) RETURNS @hierarchy TABLE ( element_id INT IDENTITY ( 1 , 1 ) NOT NULL, /* internal surrogate primary key give
插入JSON数据: 在C#中查询JSON数据: 使用ADO.NET或Entity Framework Core来连接SQL Server并执行查询。 示例代码 以下是一个使用ADO.NET在C#中查询JSON数据的示例: 代码语言:txt 复制 using System; using System.Data.SqlClient; using Newtonsoft.Json.Linq; class Program { static void Main() { string connec...
import sqlparse 接下来,你可以使用sqlparse.parse方法解析SQL查询语句,并使用sqlparse库中的相关方法提取where子句的JSON表示。下面是一个示例代码: 代码语言:txt 复制 import sqlparse query = "SELECT * FROM table WHERE column1 = 'value' AND column2 > 100" # 解析SQL查询语句 parsed = sqlparse.parse(...
3403ErrorGetKeyByNameNoResponseCannot get the key by name due to no response from server. 3404ErrorGetKeyByNameJsonParserCannot get the key by name due to failed to parse the JSON response. 3405ErrorGetKeyByNameExtractKeyNodeCannot get the key by ...