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

Operator


When we started with programming for the first time, we learned about operators. We learned that operators are those special characters/sequence of characters that perform some specific tasks on the operands and return the final results. In the reactive world, the definition remains merely the same; they take one or more Observable/Flowable as operands, transform them, and return the resultant Observable/Flowable.

Operators work such as a consumer to the preceding Observable/Flowable, listen to their emissions, transform them, and emit them to the downstream consumer. For instance, think of the map operator, it listens to the upstream producer, performs some operations on their emissions, and then emits those modified items to the downstream.

Operators help us leverage and express business logic and behaviors. There are a lot of operators available with RxKotlin. Throughout this book, we will be covering various types of operators comprehensively so that you know when to use which...