Similarly, we can access the second record using the employees argument To retrieve the first record, we use employees argument We can note the array is enclosed in a square bracket In this example, we require to retrieve the first JSON object from the key.Ī variable contains an array for the “employees” key Path mode: It controls the output of a JSON_QUERY() function in case of an invalid JSON string using the LAX and Strict argumentsĮxample 1: Get the JSON object from a JSON string.JSON_Path: It is the path of the object or an array from where we want to retrieve values.Expression: It is a JSON string or a variable holding JSON data.In this article, we are exploring JSON_QUERY() function using various examples. You can refer to JSON for these articles. We explored JSON_VALUE() and JSON_MODIFY() functions in my previous articles. We can view these functions in the following image of Microsoft docs. JSON_QUERY: It extracts an array or string from JSON in SQL Server.You should go through Modifying JSON data using JSON_MODIFY() in SQL Server for this function JSON_MODIFY(): It modifies values in the JSON Data.JSON_VALUE(): It extracts a scalar value from the JSON data.ISJSON(): we can check valid JSON using this function.SQL Server provides the following JSON functions to work with JSON Data: In the below example, we have a key (Name),Īnd its value is a JSON object (nested JSON) In JSON, each object is enclosed by curly brackets(). For example “Name”:”Rajendra”īefore we go further, I will give a small overview of JSON object and array. We can have a string, object, array, Boolean or number data format in a valueĮach key should use colon (:) to segregate from the values. Server JSON functions: a bridge between NoSQL and relational worlds for more detailsĮach key should be enclosed in a double-quote

It is a bridge between No-SQL and relational databases. It becomes necessary for SQL database administrators as well to understand JSON and use SQL Server function in These NoSQL databases primarily uses JSON structuredĭata.

If you are familiar with Amazon Web Service, DynamoDB, MongoDB, Couchbaseĭatabases, you should be familiar with the JSON documents. JavaScript Object Notation (JSON) is an accessible format for representing data in a structured way. In this article, we will explore JSON_QUERY() functions in SQL Server to extract JSON objects and array from the

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