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Kotlin Design Patterns and Best Practices

Kotlin Design Patterns and Best Practices

By : Alexey Soshin
4.5 (13)
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Kotlin Design Patterns and Best Practices

Kotlin Design Patterns and Best Practices

4.5 (13)
By: Alexey Soshin

Overview of this book

This book shows you how easy it can be to implement traditional design patterns in the modern multi-paradigm Kotlin programming language, and takes you through the new patterns and paradigms that have emerged. This second edition is updated to cover the changes introduced from Kotlin 1.2 up to 1.5 and focuses more on the idiomatic usage of coroutines, which have become a stable language feature. You'll begin by learning about the practical aspects of smarter coding in Kotlin, as well as understanding basic Kotlin syntax and the impact of design patterns on your code. The book also provides an in-depth explanation of the classical design patterns, such as Creational, Structural, and Behavioral families, before moving on to functional programming. You'll go through reactive and concurrent patterns, and finally, get to grips with coroutines and structured concurrency to write performant, extensible, and maintainable code. By the end of this Kotlin book, you'll have explored the latest trends in architecture and design patterns for microservices. You’ll also understand the tradeoffs when choosing between different architectures and make informed decisions.
Table of Contents (17 chapters)
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1
Section 1: Classical Patterns
6
Section 2: Reactive and Concurrent Patterns
11
Section 3: Practical Application of Design Patterns

Achieving concurrency in Ktor

Looking back at the code we've written in this chapter, you may be under the impression that the Ktor code is not concurrent at all. However, this couldn't be further from the truth.

All the Ktor functions we've used in this chapter are based on coroutines and the concept of suspending functions.

For every incoming request, Ktor will start a new coroutine that will handle it, thanks to the CIO server engine, which is based on coroutines at its core. Having a concurrency model that is performant but not obtrusive is a very important principle in Ktor.

In addition, the routing blocks we used to specify all our endpoints have access to CoroutineScope, meaning that we can invoke suspending functions within those blocks.

One of the examples for such a suspending function is call.respond(), which we were using throughout this chapter. Suspending functions provide our application with opportunities to context switch, and to execute...

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