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Скачать или смотреть Resolving Blazor Monaco Editor Timeout Issues: How to Handle Large Data Sets

  • vlogize
  • 2025-04-11
  • 20
Resolving Blazor Monaco Editor Timeout Issues: How to Handle Large Data Sets
Getting data from Blazor Monaco editor fails/timeout if there is a lot of datac#blazormonaco editor
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Описание к видео Resolving Blazor Monaco Editor Timeout Issues: How to Handle Large Data Sets

Discover how to avoid timeouts with the `Blazor Monaco Editor` when working with large datasets. Learn simple solutions to enhance your app's performance.
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This video is based on the question https://stackoverflow.com/q/74316676/ asked by the user 'rotgers' ( https://stackoverflow.com/u/2223566/ ) and on the answer https://stackoverflow.com/a/75884563/ provided by the user 'Manish' ( https://stackoverflow.com/u/8784568/ ) 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: Getting data from Blazor Monaco editor fails/timeout if there is a lot of data

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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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Resolving Blazor Monaco Editor Timeout Issues: How to Handle Large Data Sets

When developing applications with Blazor, integrating features like the Monaco Editor can significantly enhance user experience, especially for editing code or handling nested data structures. However, users may encounter performance bottlenecks, especially when managing large datasets. One common issue developers face is the timeout that occurs when retrieving data from the Monaco editor containing extensive content. In this post, we will explore this problem and provide a practical solution to enhance performance when using the GetValue() method.

The Problem: Timeout with Large Datasets

In a typical Blazor application using the Monaco editor, developers rely on the SetValue() and GetValue() methods to interact with editor content. However, issues arise when the content size exceeds a certain threshold—in this case, approximately 1000 lines of data. For example, a developer might use the following code to retrieve JSON data:

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

When the dataset grows (in this case, 2000 lines of JSON data), the application experiences a timeout during the GetValue() call. This is particularly frustrating as the task works seamlessly with smaller datasets but fails when the content becomes larger.

Why Does This Happen?

The timeout issue often occurs due to limitations in the underlying SignalR transport used by Blazor for real-time web applications. By default, SignalR has a maximum message size limit that, when exceeded, can cause your Blazor app to timeout, leading to a poor user experience.

The Solution: Increase the Max Message Size

To prevent the timeout issue when dealing with large datasets in the Blazor Monaco Editor, we can increase the maximum message size that SignalR is configured to handle. This adjustment allows large messages to be sent and received without encountering timeouts.

Step-by-Step Guide to Increasing SignalR Message Size

Open Your Blazor Startup Configuration: Navigate to the file where your Blazor services are configured, usually Startup.cs or Program.cs for .NET 6+ applications.

Modify the SignalR Configuration: Find the section where you configure SignalR services and increase the maximum receive message size. Here’s an example of how to implement this in the configuration:

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

Test the Application: After making changes, run your application again and check if the timeout issue persists when retrieving larger datasets. The expectation is that you should now be able to access the full content without any interruptions.

Conclusion

Managing large datasets in applications can introduce complexities, but with the right approach, you can overcome these challenges. By increasing the SignalR message size, you can enhance the robustness of your Blazor application, ensuring users can smoothly interact with extensive content in the Monaco editor. If you continue to experience issues, consider optimizing how data is managed or paginate your datasets to improve performance further.

This solution not only solves the timeout issue but also paves the way for better handling of large data across your application. Happy coding!

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