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Скачать или смотреть How to Update Multiple JSON Keys in a Single SQL Statement

  • vlogize
  • 2025-04-04
  • 2
How to Update Multiple JSON Keys in a Single SQL Statement
json_modify set multiple keys in one update statementjsonsql server
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Описание к видео How to Update Multiple JSON Keys in a Single SQL Statement

Learn how to efficiently update multiple keys in a JSON column using SQL Server's JSON_MODIFY function in one simple query.
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This video is based on the question https://stackoverflow.com/q/69845329/ asked by the user 'Ole Haugset' ( https://stackoverflow.com/u/4050023/ ) and on the answer https://stackoverflow.com/a/69845581/ provided by the user 'David Browne - Microsoft' ( https://stackoverflow.com/u/7297700/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: json_modify set multiple keys in one update statement

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Updating Multiple JSON Keys in SQL Server

JSON structures are increasingly popular for storing complex data within a single database column, especially in SQL Server. However, when it comes to updating multiple keys within a JSON object in one go, many users face challenges. If you’re looking to enhance your SQL prowess by efficiently updating your JSON data, you've come to the right place. In this guide, we’ll walk through a common scenario and provide a detailed solution.

The Problem

You might find yourself needing to enhance the metadata associated with your rows stored as JSON in SQL Server. Here’s a typical challenge: You have a JSON column in your table and want to add or modify two key-value pairs in one SQL UPDATE statement.

For example, you might currently have this SQL command that successfully updates a single key:

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

But now, you want to add another key, Key2, with the value Value2. The question is, how can you achieve this in a single, efficient SQL statement?

The Solution: Using JSON_MODIFY

The JSON_MODIFY function in SQL Server allows you to modify existing JSON data. To add multiple keys, you can simply nest additional JSON_MODIFY calls within your UPDATE statement. This way, you can effectively update not just one, but multiple keys in your JSON object.

Step-by-step Guide

Create a Sample Table: If you are not already working with your data, let's start by creating a sample table to illustrate how this works.

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

Update Multiple Keys: Use a nested JSON_MODIFY structure to update multiple keys in a single command. Here’s the SQL statement you will use:

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

Check Your Results: After running the update statement, fetch the contents of the table to see your changes.

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

Expected Output

When you execute the above commands, the output will show that both keys have been successfully added:

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

Conclusion

By nesting the JSON_MODIFY functions, you can efficiently add or change multiple keys within your JSON data in SQL Server. This method ensures that you can manage your metadata seamlessly without the need for multiple queries or cumbersome procedures.

Feel free to implement this solution in your projects to streamline your SQL data manipulation and enhance your applications' performance.

Now that you know how to update multiple keys in a JSON object with simplicity and clarity, your data management skills have taken a significant leap forward! Happy coding!

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