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Kotlin Design Patterns and Best Practices

You're reading from   Kotlin Design Patterns and Best Practices Build scalable applications using traditional, reactive, and concurrent design patterns in Kotlin

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801815727
Length 356 pages
Edition 2nd 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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Toc

Table of Contents (17) Chapters Close

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

Fan In

The goal of the Fan In design pattern is to combine results from multiple workers. This design pattern is helpful when our workers produce results and we need to gather them.

This design pattern is the opposite of the Fan Out design pattern we discussed in the previous section. Instead of multiple coroutines reading from the same channel, multiple coroutines can write their results to the same channel.

Combining the Fan Out and Fan In design patterns is a good base for MapReduce algorithms. To demonstrate this, we'll slightly change the workers from the previous example, as follows:

private fun CoroutineScope.doWorkAsync(
    channel: ReceiveChannel<String>,
    resultChannel: Channel<String>
) = async(Dispatchers.Default) {
    for (p in channel) {
        resultChannel.send(p.repeat(2))
    }
}

Now, once done, each worker sends...

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