Book Image

Reactive Programming in Kotlin

By : Rivu Chakraborty
Book Image

Reactive Programming in Kotlin

By: Rivu Chakraborty

Overview of this book

In today's app-driven era, when programs are asynchronous, and responsiveness is so vital, reactive programming can help you write code that's more reliable, easier to scale, and better-performing. Reactive programming is revolutionary. With this practical book, Kotlin developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm. You will begin with the general concepts of Reactive programming and then gradually move on to working with asynchronous data streams. You will dive into advanced techniques such as manipulating time in data-flow, customizing operators and provider and how to use the concurrency model to control asynchronicity of code and process event handlers effectively. You will then be introduced to functional reactive programming and will learn to apply FRP in practical use cases in Kotlin. This book will also take you one step forward by introducing you to Spring 5 and Spring Boot 2 using Kotlin. By the end of the book, you will be able to build real-world applications with reactive user interfaces as well as you'll learn to implement reactive programming paradigms in Android.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface

Summary


This was a rather a long chapter. You learned about combining producers, and learned, in depth, about the flatMap, concatMap, and switchMap operators. You got introduced to the take and skip operators and their variants. You learned about the error handling approaches in reactive programming. We also tried our skills with an HTTP client example, where we requested an API to fetch JSON data and print it to the console. We didn't try to parse the JSON data, as it could increase complexity at this level. Later in this book, we will definitely parse data and display that properly.

While this and Chapter 5Asynchronous Data Operators and Transformations were more about operators, the next chapter, Chapter 7, Concurrency and Parallel Processing in RxKotlin with Schedulers, is mainly about schedulers, handling concurrency, and multi-threading, and we will get a deeper dive in asynchronous programming with RxKotlin. As we are gradually moving to more advanced topics and chapters through...