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Скачать или смотреть How to Effectively Use OPENJSON in SQL Server Views

  • vlogize
  • 2025-10-08
  • 1
How to Effectively Use OPENJSON in SQL Server Views
How to include OPENJSON in View?sqljsonsql servert sqllateral join
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Описание к видео How to Effectively Use OPENJSON in SQL Server Views

Discover how to include `OPENJSON` in SQL Server views using CROSS APPLY, even with JSON stored in single cells.
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This video is based on the question https://stackoverflow.com/q/64606280/ asked by the user 'Mara' ( https://stackoverflow.com/u/6304730/ ) and on the answer https://stackoverflow.com/a/64606343/ provided by the user 'GMB' ( https://stackoverflow.com/u/10676716/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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.

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How to Include OPENJSON in SQL Server Views

Introduction

In the world of SQL Server, dealing with JSON data can sometimes lead to challenges, especially when it comes to views. Many developers often ask, "How can I use OPENJSON within a SQL Server view?" This question arises when working with JSON objects stored in a database, where you might want to retrieve and manipulate this data effectively.

In this guide, we'll take a closer look at the problem and provide you with a clear, step-by-step solution to include OPENJSON in your views.

Understanding the Problem

When your JSON object is saved in a single cell of a table, retrieving its content might seem straightforward. For example, you might start with something like this:

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

However, directly using the OPENJSON function like this within a view is not possible. Instead, you need a method that allows you to work with JSON data stored as a single entity in your table.

The Solution: Using CROSS APPLY with OPENJSON

To overcome this limitation, you can leverage CROSS APPLY in SQL Server. This technique allows you to apply OPENJSON to each row in your table, effectively breaking down the JSON data for easy consumption within a view.

Step-by-Step Guide

Create Your View: Use the CREATE VIEW statement to establish a new view in your database.

Select Your Data: Within the view, use the CROSS APPLY operator to access the JSON data stored in the cell.

Utilize OPENJSON: Call the OPENJSON function to parse the JSON data.

Here’s how this can be structured in SQL:

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

Example Breakdown

CREATE VIEW jsonview AS: This line initializes a new view named jsonview.

*SELECT x. FROM json_raw j**: Here, we select all columns from the json_raw table, which contains our JSON objects.

CROSS APPLY OPENJSON(j.json_object) WITH (...) AS x: This critical part takes the json_object field from the json_raw table, applies OPENJSON, and allows us to specify the structure we expect with the WITH (...) clause, naming the output as x.

Benefits of This Approach

Flexibility: By using CROSS APPLY, you can easily manipulate and filter the JSON data as per your requirements.

Clarity: This approach keeps your SQL neat and organized, making it easier for future developers to understand your logic.

Compatibility: It aligns with SQL Server's capabilities, utilizing built-in functions designed to handle JSON data efficiently.

Conclusion

Including JSON data stored in a single cell within SQL Server views may initially seem challenging. However, by effectively using the CROSS APPLY function in conjunction with OPENJSON, you can retrieve and manipulate your JSON data seamlessly. Now you have a clear approach to work with JSON in views that makes your data operations more versatile and powerful.

With this method, you can easily integrate JSON handling in your SQL Server projects, streamlining the process of data retrieval and analysis. Don't hesitate to reach out if you have further questions or need more assistance with your SQL Server queries!

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