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Learning Concurrency in Kotlin

By : Castiblanco Torres

4 (6)

Learning Concurrency in Kotlin

4 (6)

By: 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.

Preface

Preface

Who this book is for

What this book covers

To get the most out of this book

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Free Chapter

Hello, Concurrent World!

Hello, Concurrent World!

Processes, threads, and coroutines

Introduction to concurrency

Concurrency is not parallelism

CPU-bound and I/O-bound

Why concurrency is often feared

Concurrency in Kotlin

Concepts and terminology

Summary

Coroutines in Action

Coroutines in Action

Downloading and installing Android Studio

Creating a Kotlin project

Adding support for coroutines

Android's UI thread

Creating a thread

Adding networking permissions

Creating a coroutine to call a service

Adding UI elements

Displaying the amount of news that were processed

Using a UI dispatcher

Creating an asynchronous function to hold the request... or not

Summary

Life Cycle and Error Handling

Life Cycle and Error Handling

Job and Deferred

States move in one direction only

RSS – Reading from multiple feeds concurrently

Non-happy path – Unexpected crash

Summary

Suspending Functions and the Coroutine Context

Suspending Functions and the Coroutine Context

Improving the UI of the RSS Reader

Suspending functions

The coroutine context

More about contexts

Summary

Iterators, Sequences, and Producers

Iterators, Sequences, and Producers

Suspendable sequences and iterators

Iterators

Sequences

Suspending Fibonacci

Producers

Producers in action

Summary

Channels - Share Memory by Communicating

Channels - Share Memory by Communicating

Understanding channels

Types of channels and backpressure

Interacting with channels

Channels in action

Summary

Thread Confinement, Actors, and Mutexes

Thread Confinement, Actors, and Mutexes

Atomicity violation

Thread confinement

Actors

Mutual exclusions

Volatile variables

Atomic data structures

Actors in action

Summary

Testing and Debugging Concurrent Code

Testing and Debugging Concurrent Code

Testing concurrent code

Writing the tests

Debugging

Resiliency and stability

Summary

The Internals of Concurrency in Kotlin

The Internals of Concurrency in Kotlin

Continuation Passing Style

Context switching

Summary

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Life Cycle and Error Handling

Now that we have an application using coroutines in order to do network requests, it's time to add new features to it while putting into practice new concepts and improving the user experience.

In this chapter, we will start by taking a closer look at two types of asynchronous tasks: Job and Deferred. We will talk about their similarities and their differences, taking a closer look at their life cycle. We will also cover how to calculate their current state and what to expect in each state. Then, we will improve our RSS reader by having it fetch news concurrently from many news outlets and using the newly introduced topics to handle exceptions when a feed can't be reached.

Some of the topics we will cover during this chapter are as listed:

Jobs and their use cases
Life cycle of Job and Deferred
Use cases for Deferred
What to expect with...

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