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Hands-On Design Patterns with Kotlin

You're reading from   Hands-On Design Patterns with Kotlin Build scalable applications using traditional, reactive, and concurrent design patterns in Kotlin

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998017
Length 310 pages
Edition 1st Edition
Languages
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Author (1):
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Alexey Soshin Alexey Soshin
Author Profile Icon Alexey Soshin
Alexey Soshin
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Kotlin FREE CHAPTER 2. Working with Creational Patterns 3. Understanding Structural Patterns 4. Getting Familiar with Behavioral Patterns 5. Functional Programming 6. Streaming Your Data 7. Staying Reactive 8. Threads and Coroutines 9. Designed for Concurrency 10. Idioms and Anti-Patterns 11. Reactive Microservices with Kotlin 12. Other Books You May Enjoy

Scheduler

This is another concept we discussed briefly in Chapter 8, Threads and Coroutines, in the Starting a coroutine section.

Remember how our launch() or async() could receive CommonPool?

Here's an example to remind you that you could specify it explicitly:

// Same as launch {}
launch(CommonPool) {
...
}

// Same as async {}
val result = async(CommonPool) {
...
}

This CommonPool is a Scheduler design pattern in a bad disguise. Many async tasks may be mapped to the same Scheduler.

Run the following code:

val r1 = async(CommonPool) {
for (i in 1..1000) {
println(Thread.currentThread().name)
yield()
}
}

r1.await()

What is interesting is the fact that the same coroutine is picked up by different threads:

ForkJoinPool.commonPool-worker-2
ForkJoinPool.commonPool-worker-3
...
ForkJoinPool.commonPool-worker-3
ForkJoinPool.commonPool-worker-1

You can also specify the context...

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