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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

Jobs

The result of running an asynchronous task is referred to as a job. Just as the Thread object represents an actual OS thread, the Job object represents an actual coroutine.

For instance, consider the following function that initiates a coroutine to generate a universally unique identifier (UUID) asynchronously and returns it:

fun fastUuidAsync() = GlobalScope.async { 
    UUID.randomUUID() 
}

However, if we execute this code from our main method, it won’t print the expected UUID value. Instead, it will produce a result similar to the following:

> DeferredCoroutine{Active} 

The object returned from a coroutine is known as a job. Now, let’s explore what a job is and how to use it correctly.

To illustrate this concept, consider the following code snippet:

fun main() {
    runBlocking {
        val job: Deferred<UUID> = fastUuidAsync()
        println(job.await())
    }
}

A job has a simple life cycle and can be in one of...

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