
JSON_QUERY (Transact-SQL) - SQL Server | Microsoft Learn
Nov 18, 2025 · With the support for array wildcards in SQL/JSON path expression introduced in SQL Server 2025 (17.x), JSON_QUERY can be used to return specified properties of elements in a JSON …
The JSON_QUERY () function to extract objects from JSON Data - SQL …
In this article, we explored JSON_QUERY () function to retrieve the JSON object and array from JSON data. It is a useful function to work with SQL Server JSON data.
Working With JSON in SQL - GeeksforGeeks
Dec 6, 2025 · Azure SQL provides several functions to work with JSON data, making it simple to query, extract, and modify JSON stored in columns. Consider this table for the examples below:
Extract JSON Data in SQL: A Complete Guide - SQL Server Tips
Oct 29, 2025 · Discover techniques to extract JSON data in SQL, handling complex data types with ease in SQL Server 2025.
SQL Server JSON_QUERY () Function
In this tutorial, you will learn how to use the SQL Server JSON_QUERY () function to extract an object or an array from a JSON string.
JSON_QUERY function – SQL Tutorial
The JSON_QUERY function in SQL Server is a useful tool for working with JSON data. Introduced in SQL Server 2016, it is part of the suite of JSON functions that allow you to parse, query, and …
JSON in Microsoft SQL Server: A Comprehensive Guide
Feb 28, 2019 · SQL Server provides several methods for querying and manipulating JSON data. Let's explore these capabilities, starting with basic extraction and moving to more complex operations.
T-SQL JSON_QUERY in SQL Server
SQL Server JSON_QUERY function is a built-in function in SQL Server that is used to extract data from a JSON object. The function is used to retrieve a scalar (single) value or a complete JSON object …
JSON Functions in SQL: How to Query JSON Data - fullstackprep.dev
Jan 13, 2026 · Understand how SQL handles JSON data using built-in functions for parsing, querying, and manipulating structured JSON objects.
Work with JSON Data in SQL Server - SQL Server | Microsoft Learn
You can organize collections of your JSON documents in tables, establish relationships between them, combine strongly typed scalar columns stored in tables with flexible key/value pairs stored in JSON …