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Скачать или смотреть Understanding delay() Behavior in Kotlin Coroutines with Thread Pools

  • vlogize
  • 2025-04-05
  • 3
Understanding delay() Behavior in Kotlin Coroutines with Thread Pools
delay() block its coroutine when using thread pool as the dispatcher?kotlinkotlin coroutines
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Описание к видео Understanding delay() Behavior in Kotlin Coroutines with Thread Pools

Explore why using `delay()` can block coroutines in Kotlin when working with thread pools, and learn how to fix it effectively.
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This video is based on the question https://stackoverflow.com/q/68976784/ asked by the user 'Mike Zhao' ( https://stackoverflow.com/u/6172448/ ) and on the answer https://stackoverflow.com/a/68984822/ provided by the user 'Tenfour04' ( https://stackoverflow.com/u/506796/ ) 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: delay() block its coroutine when using thread pool as the dispatcher?

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 delay() Behavior in Kotlin Coroutines with Thread Pools

When diving into Kotlin coroutines, developers might encounter perplexing behaviors, especially when combined with thread pools. One common question revolves around the delay() function's impact on coroutine execution. In this post, we will break down the problem and explore a comprehensive explanation of what's happening under the hood, providing clarity and actionable solutions.

The Problem: Confusion with Coroutine Execution

In the provided toy code example, the output isn't as expected when using delay(). Here’s a brief overview of the scenario:

You have two coroutines launched:

One with a sleep time of 100 milliseconds running on a custom thread pool.

The second with a sleep time of 1000 milliseconds running on the IO dispatcher.

Here’s the output from running the original code:

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

You might wonder: Why does coroutine-1 not continue to execute after calling delay()?

The Underlying Mechanism: Why delay() Blocks

The answer lies in how the Closeable.use function is structured in Kotlin. Here’s a breakdown of what’s happening:

Asynchronous Execution: When you start the coroutines with launch, they execute asynchronously.

Closing the Dispatcher: The use block of Executors.newFixedThreadPool(2) automatically closes the dispatcher once the block is exited. However, it does not wait for the launched coroutines to complete; thus, they get canceled when the dispatcher stops.

This behavior can lead to confusion, especially for those new to coroutines. As a result, coroutine-1 doesn't continue, and you see incomplete execution.

Why yield() Works

If you replace delay() with yield() in your code, you notice that the program behaves differently:

yield() allows coroutines to give up their execution without terminating, effectively letting other coroutines run.

This may result in the first coroutine finishing up before the dispatcher is closed.

A Simple Solution

To resolve the issue with delay(), you can move the use block outside the runBlocking block, as it will then ensure that the coroutines finish before the dispatcher is closed:

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

Conclusion

Understanding the interplay between delay(), coroutines, and thread pools is crucial for any Kotlin developer. By knowing how coroutines work and how threading contexts are managed, you can write more reliable and efficient code.

If you encounter unforeseen behaviors like this in your coding journey, remember: Sometimes, the solution is simply about the order in which things are executed. Keep experimenting and learning!

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