![]() REPLACE('SELECT ROW_NUMBER() OVER (ORDER BY ' + (SELECT T3.ColumnName FROM T3 WHERE T3.TableName = T1.TableName AND T3. + '(' + CASE WHEN CONVERT(VARCHAR.) = -1 THEN 'MAX' ELSE CONVERT(VARCHAR.) END + ')' UPPER(.) = 'VARCHAR' OR UPPER(.) = 'NVARCHAR' THEN. In this case, we see Type 2 (numeric data) and Type 1 (string data) represented.Working solution to build JSON data out of SQL Server 2012 DECLARE NVARCHAR(50) JSON, unlike XML, has type definitions for each value in a document. Running the query produces a result set with three columns: key, value, and type. If you want to access a sub-element of the json document, you can use the function jsonvalue. We then pass the variable to the OPENJSON function in a SELECT statement. MS-SQL Server can store json documents in nvarchar columns. The approach involves first defining a string variable and passing our JSON object as a parameter to this variable. ![]() JSONVALUE () Extracts a scalar value from a JSON string. Listing 3 shows an example of this using the first object in the sample JSON document referred to in Listing 1. JSONQUERY () Extracts an object or an array from a JSON string. The identity value represents the position/index of the array element. The column with this value in the JSON path expression will generate a unique 0-based number for each element in the JSON array that the function parses. sql:identity()in the JSON path after the column definition. OPENJSON can be used to revert JSON formatted data to a relational format. The identity column is specified using the expression. In each object, the column name is translated to the JSON name and the value for that column in that row is represented as the JSON value. In essence, SQL Server converts each row in the source table to a JSON object. Consider the following T-SQL query, which returns the output below: 1 SELECT TOP 10 2 c.CompanyName, 3 c.City, 4 c.Country, 5 COUNT(o.OrderID) AS CountOrders 6 FROM Customers c 7 JOIN Orders o 8 ON c.CustomerID o.CustomerID 9 GROUP BY c.CompanyName, c.City, c.Country 10 ORDER BY COUNT(o. Listing 2 shows the feedback from SQL Server Management Studio upon the query execution: “9 Rows affected”. The document in Listing 1 was extracted from a regular SQL Server database table using the query from Listing 2. The following shows the format of a JSON document based on the EMCA-404 standard: JSON objects can increase in complexity as we introduce components which are not just single values but arrays in themselves. JSON documents are represented as a series of JSON objects that contain name-value pairs. SQL Server introduced support for JSON in SQL Server 2016. JSON support in SQL Server uses standard T-SQL syntax for querying JSON data. SQL Server 2016/Azure SQL Db are relational databases that will have support for handling JSON data. JSON was standardized in 2013 and the latest version of the standard (ECMA-404: The JSON Data Interchange Syntax) was released in 2017. SQL Server JSON query syntax compared to DocumentDB In this article I will show you similarities and differences between SQl Server JSON and DocumentDB query syntax. I am sure you begin to get the idea of how widespread its applications have become. Virtually all the Social Media giants expose APIs that are based on JSON. JSON is also used extensively in NoSQL databases such as the increasingly popular MongoDB. In AWS CloudFormation, templates, which are actually JSON (or YAML) formatted documents, are used to describe AWS resources when automating deployments. It is reported to be lightweight and easier to manipulate compared to XML. JSON has nearly replaced XML as a cross-platform data exchange format. JSON is essentially a data format, it was popularized by Douglas Crockford, a well-known programmer with an interesting history who was also involved in the development of JavaScript. JSON is an acronym for JavaScript Object Notation, that became popular a little over seventeen years ago.
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