Скачать или смотреть How to Handle Concurrent Requests in Java: Ensuring Your Back-End Only Processes the First Request

Discover how to manage multiple concurrent requests in your Java back-end by using `AtomicBoolean`, `CountDownLatch`, and best practices that ensure your application processes only the first request effectively.
---
This video is based on the question https://stackoverflow.com/q/69019703/ asked by the user 'ctrlaltdeleon' ( https://stackoverflow.com/u/12458952/ ) and on the answer https://stackoverflow.com/a/69019817/ provided by the user 'JayC667' ( https://stackoverflow.com/u/1932011/ ) 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: If 2+ front-ends execute the same request, how can I make it so the back-end only allows the first request and ignores the rest?

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.
---
How to Handle Concurrent Requests in Java: Ensuring Your Back-End Only Processes the First Request

When developing a back-end application in Java, one common challenge is managing concurrent requests. You might find yourself in a situation where two or more front-end clients send requests simultaneously, and you want your back end to process only the first one while rejecting or postponing the subsequent requests. This article delves into this problem and offers practical solutions to ensure your back end behaves correctly in a concurrent environment.

The Problem

Imagine you have a scenario where multiple front-ends make the same request via socket emit. Your back end is designed to handle this, but it requires that only one request gets processed at a time. The primary issue arises from the nature of Java's method execution, where each method has its own stack and variables allocated within the method are unique. Consequently, if the same method gets called simultaneously from different threads, they end up creating separate instances of variables that are meant to control access, leading to conflicts.

The Solution

To effectively manage this concurrency issue, we need to ensure that your request-handling logic can recognize when it is already processing a request. Here are the steps and strategies you can implement:

1. Use a Member Variable

Instead of declaring the variable that tracks request status (isRequestAlreadyRunning) within the method, you should define it as a member variable of the class. This change ensures that it is shared across different method calls and is consistent regardless of how many threads are accessing the method simultaneously.

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

This variable needs to be volatile as this ensures that its value is managed in a way that all threads see the most updated value.

2. Utilize AtomicBoolean

For improved thread safety, consider replacing your boolean variable with AtomicBoolean. This class provides methods that can be safely used from multiple threads without additional synchronization code.

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

3. Implement Logic to Control Access

You can now implement the logic to ensure that only one request gets processed. Using compareAndSet, you can atomically set the variable to true when the processing begins and reset it to false when done. Here’s a sample of the final solution:

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

Additional Options: Mutex and Synchronization

If further synchronization is necessary, consider exploring the concept of mutexes (mutually exclusive locks) available in Java. These can be used to control access to methods or blocks of code ensuring that only one thread works on a particular section of code at a time. Java also provides the synchronized keyword to lock methods or blocks. However, using AtomicBoolean often suffices for simple concurrency control.

Conclusion

Handling concurrent requests in a Java back-end application can be challenging, but through proper use of member variables, AtomicBoolean, and correct logic implementation, you can efficiently ensure that only the first incoming request is processed. Always remember to consider the implications of concurrency in your application, and leverage Java's capabilities to maintain a robust and responsive back-end system.

By employing these strategies, you can significantly improve your application's performance and user experience while effectively managing concurrent requests.