I have uploaded the entire JSON SQL Script, used for the purpose of this article, in this link in GITHUB If you want to view the details of a particular element and flatten it into a single row, you can use the WITH clause, as shown in the example below – If you want to display the details of a particular element within the ‘Person’ array, you can specify the element number like in the example below. The ‘type’ is represented numerically based on the below table – In short, FORJSON converts the table rows into JSON text and OPENJSON converts the JSON text into table rows.īy default, when we use the OPENJSON function, it returns 3 values – key, value and type. ![]() OPENJSON function can be used to convert JSON text into table rows and columns or to import JSON into SQL tables. How to transform JSON text to relational table? You can use any of the below mentioned online JSON formatter/validator to convert the JSON into a readable format. If you are not using tables, FOR JSON PATH is the only option.Īs you see above, SQL returns the JSON data as a single-line value, without any formatting and hence it is a bit difficult to read it. It gives us full control over the format of the JSON output.įOR JSON AUTO requires at least one table for generating JSON objects. FOR JSON PATH – JSON is formatted based on the user’s discretion.FOR JSON AUTO – JSON is formatted by the database engine based on the order of the columns in the SELECT statement.Each row will be formatted as one JSON object. One important thing to note is that there is no separate JSON data type created, like XML – rather JSON will be represented by NVARCHAR datatype.įOR JSON clause allows us to format query results as JSON text.Īppending this syntax to a standard TSQL query returns the result set in JSON format. SQL Server 2016 provides built-in support for storing, managing and parsing JSON data. To put it out in a very simple way, below is an example of JSON vs XML syntax – Due to its simplicity, JSON runs faster and consumes lesser memory. ![]()
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