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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
2. Getting Started with Kotlin FREE CHAPTER 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

Understanding Event Loop

The goal of Event Loop is to continuously check for new events in a queue, and each time a new event comes in, to quickly dispatch it to a function that knows how to handle it. This way, a single thread or a very limited number of threads can handle a huge number of events.

In the case of web frameworks such as Vert.x, events may be requests to our server.

To understand the concept of the Event Loop better, let’s go back to our server code and attempt to implement an endpoint for deleting a cat:

val db = Db.connect(vertx)
router.delete("/:id").handler { ctx ->
    val id = ctx.request().getParam("id").toInt()
    db.preparedQuery("DELETE FROM cats WHERE ID = $1")
        .execute(Tuple.of(id))
        .await()
    ctx.end()
}

This code is very similar to what we’ve written in our tests in the previous section. We read the URL parameter from the request using the getParam() function, then we pass...

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