Book Image

Learning Concurrency in Kotlin

By : Miguel Angel Castiblanco Torres
Book Image

Learning Concurrency in Kotlin

By: Miguel Angel Castiblanco Torres

Overview of this book

Kotlin is a modern and statically typed programming language with support for concurrency. Complete with detailed explanations of essential concepts, practical examples and self-assessment questions, Learning Concurrency in Kotlin addresses the unique challenges in design and implementation of concurrent code. This practical guide will help you to build distributed and scalable applications using Kotlin. Beginning with an introduction to Kotlin's coroutines, you’ll learn how to write concurrent code and understand the fundamental concepts needed to write multithreaded software in Kotlin. You'll explore how to communicate between and synchronize your threads and coroutines to write collaborative asynchronous applications. You'll also learn how to handle errors and exceptions, as well as how to work with a multicore processor to run several programs in parallel. In addition to this, you’ll delve into how coroutines work with each other. Finally, you’ll be able to build an Android application such as an RSS reader by putting your knowledge into practice. By the end of this book, you’ll have learned techniques and skills to write optimized code and multithread applications.
Table of Contents (11 chapters)

Summary

This chapter was written around the idea of providing you with good practices that would make it easier for you to write and maintain concurrent applications written in Kotlin. Let's summarize the topics and practices discussed in this book so far, so that they stay fresh in your mind:

  • There are two important principles when it comes to tests for concurrent code: throw away assumptions, meaning write tests for scenarios that should not happen to make sure that your app is resilient; and focus on the forest, not the trees, meaning that when testing for concurrency, you have to work on Functional Tests that allow you to replicate both the expected and the unexpected from a higher level.
  • More advice on testing: always write tests for a bug when fixing it; analyze if a bug can be replicated in places where it has not been reported and write tests to cover those scenarios...