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Kotlin Design Patterns and Best Practices

You're reading from   Kotlin Design Patterns and Best Practices Elevate your Kotlin skills with classical and modern design patterns, coroutines, and microservices

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805127765
Length 474 pages
Edition 3rd Edition
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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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Table of Contents (19) Chapters Close

Preface 1. Section 1: Classical Patterns FREE CHAPTER
2. Getting Started with Kotlin 3. Working with Creational Patterns 4. Understanding Structural Patterns 5. Getting Familiar with Behavioral Patterns 6. Section 2: Reactive and Concurrent Patterns
7. Introducing Functional Programming 8. Threads and Coroutines 9. Controlling the Data Flow 10. Designing for Concurrency 11. Section 3: Practical Application of Design Patterns
12. Idioms and Anti-Patterns 13. Practical Functional Programming with Arrow 14. Concurrent Microservices with Ktor 15. Reactive Microservices with Vert.x 16. Assessments
17. Other Book You May Enjoy
18. Index

Fan-Out

The purpose of the Fan-Out design pattern is to divide the workload among multiple concurrent processors, or workers, efficiently. To grasp this concept better, let’s revisit the previous section but consider a specific problem: what if there’s a significant disparity in the amount of work at different stages in our pipeline?

For instance, fetching HTML content might take much longer than parsing it. In such cases, it makes sense to distribute the heavy lifting across multiple coroutines. In the previous example, each channel had only one coroutine reading from it. However, it’s possible for multiple coroutines to consume from a single channel, effectively sharing the workload.

To simplify the problem we’re about to discuss, let’s assume we have only one coroutine producing some results:

fun CoroutineScope.generateWork() = produce {
    for (i in 1..10_000) {
        send("page$i")
    }
    close()
}

And we’...

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