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Learn how to merge two JSON objects in MS SQL using JSON_MODIFY and JSON_QUERY in this comprehensive guide.
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Merging JSON Objects in MS SQL: A Step-by-Step Guide

Working with JSON in MS SQL can be quite powerful. However, many users find themselves needing to merge multiple JSON objects into one cohesive structure. In this guide, we'll explore how to merge two JSON arrays—specifically, a list of celebrities and a list of cricketers—into a single JSON object using SQL Server’s built-in JSON functionalities.

The Problem: Merging Two JSON Arrays

Imagine you have two separate JSON objects that contain arrays of data. For instance, you have one array for celebrities and another for cricketers — both of which you want to combine. Here’s what the two individual JSON objects look like:

Celebrity JSON:

[[See Video to Reveal this Text or Code Snippet]]

Cricketer JSON:

[[See Video to Reveal this Text or Code Snippet]]

We want to merge both JSON arrays into a single object that looks like this:

[[See Video to Reveal this Text or Code Snippet]]

The Solution: Step-by-Step Instructions

Required SQL Server Version

Before proceeding, ensure that you are using SQL Server 2016 or later since it includes built-in support for JSON functionalities.

Step 1: Declare Your JSON Variables

First, define the JSON variables for your two objects. You can do this with the following SQL statements:

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Step 2: Merge the JSON Data

Next, you'll want to merge the two JSON objects into one by using JSON_MODIFY() and JSON_QUERY() functions. Here’s how you can do that:

[[See Video to Reveal this Text or Code Snippet]]

Explanation:

JSON_MODIFY(@ json1, '$."Cricketer"', ...) updates the first JSON object by adding the Cricketer array.

JSON_QUERY(@ json2, '$."Cricketer"') extracts the Cricketer data from the second JSON object.

Step 3: Review the Result

After executing the above SQL statement, your result will be a single JSON object that contains both the Celebrity and Cricketer arrays:

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Alternative Approach for Different Tables

If your data comes from different tables rather than JSON variables, you can construct a similar JSON output using SQL queries like this:

[[See Video to Reveal this Text or Code Snippet]]

Advanced Option in SQL Server 2022

When using SQL Server 2022, you have an additional option with JSON_OBJECT combined with JSON_QUERY:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Merging JSON objects in MS SQL is straightforward once you know how to utilize the available JSON functionalities in SQL Server. By following the steps outlined above, you should be able to efficiently combine different sets of JSON data for your database applications.

Feel free to reach out if you have any additional questions or need further clarification on SQL Server's JSON capabilities!