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Скачать или смотреть Solving the CountDownLatch Dilemma in Multithreaded Java - When to Await Callbacks?

  • vlogize
  • 2025-09-01
  • 1
Solving the CountDownLatch Dilemma in Multithreaded Java - When to Await Callbacks?
Releasing CountDownLatch only when I receive a callback in one of my Threadjavaandroidmultithreading
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Описание к видео Solving the CountDownLatch Dilemma in Multithreaded Java - When to Await Callbacks?

Learn how to effectively manage callbacks and `CountDownLatch` in Java multithreading scenarios to avoid freezing your applications.
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This video is based on the question https://stackoverflow.com/q/63187330/ asked by the user 'Nadeem Shaikh' ( https://stackoverflow.com/u/8851971/ ) and on the answer https://stackoverflow.com/a/64488730/ provided by the user 'Nadeem Shaikh' ( https://stackoverflow.com/u/8851971/ ) 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: Releasing CountDownLatch only when I receive a callback in one of my Thread

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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Understanding the CountDownLatch Problem in Multithreading

In the world of multithreading, coordinating tasks can often lead to frustrating situations, especially when dealing with asynchronous callbacks. A common example is when you need to wait for a response from a database before proceeding with further actions. When you're using Java, the CountDownLatch can seem like a viable solution for waiting on such callbacks. However, proper implementation is crucial to avoid application freezes and null values.

The Problem

You may encounter a situation where you attempt to use doneSignal.await() with CountDownLatch in a method intended to retrieve data asynchronously, but you find that the app freezes or the callback is never received. This issue arises from an improper understanding of how callbacks and CountDownLatch should interact.

Here’s a simplified version of the code in question:

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

Why It Fails

Using CountDownLatch may seem straightforward; however, if not utilized correctly, it can cause your application to hang waiting for an event that never occurs. The two main reasons this might happen in the provided code are:

Callback Timing: The callback handlers may not be triggered due to threading issues or the way the callbacks are structured.

Returning Immediately: The method might attempt to return a value before waiting for the callback to complete its execution.

A Better Solution: Relying on Callbacks

Instead of forcing the method to return a value while waiting for a callback, consider using a callback approach that better suits asynchronous programming:

Step-by-Step Approach

Define a Callback Interface: Create a callback interface that the calling code can implement to handle the results of the data fetching.

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

Modify getDocument Method: Update the getDocument method to accept this callback as a parameter. This method should not return anything.

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

Implement the Callback: When calling getDocument, provide an implementation for the callback to handle the results or errors.

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

Conclusion

The CountDownLatch can easily lead to complex issues if not handled appropriately, particularly related to callbacks in multithreaded environments. By switching to a callback-centric approach, you can effectively manage asynchronous operations in Java, thus avoiding freezing issues and ensuring that your application runs smoothly. Always remember that in asynchronous programming, simplicity can save time and headache.

With this understanding, your issue with waiting for a callback and freezing your app will no longer be a problem. Embrace callbacks for cleaner, more efficient code!

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