Book Image

Learning RxJava - Second Edition

By : Nick Samoylov, Thomas Nield
Book Image

Learning RxJava - Second Edition

By: Nick Samoylov, Thomas Nield

Overview of this book

RxJava is not just a popular library for building asynchronous and event-based applications; it also enables you to create a cleaner and more readable code base. In this book, you’ll cover the core fundamentals of reactive programming and learn how to design and implement reactive libraries and applications. Learning RxJava will help you understand how reactive programming works and guide you in writing your first example in reactive code. You’ll get to grips with the workings of Observable and Subscriber, and see how they are used in different contexts using real-world use cases. The book will also take you through multicasting and caching to help prevent redundant work with multiple Observers. You’ll then learn how to create your own RxJava operators by reusing reactive logic. As you advance, you’ll explore effective tools and libraries to test and debug RxJava code. Finally, you’ll delve into RxAndroid extensions and use Kotlin features to streamline your Android apps. By the end of this book, you'll become proficient in writing reactive code in Java and Kotlin to build concurrent applications, including Android applications.
Table of Contents (22 chapters)
1
Section 1: Foundations of Reactive Programming in Java
5
Section 2: Reactive Operators
12
Section 3: Integration of RxJava applications
Appendix B: Functional Types
Appendix E: Understanding Schedulers

The Observer interface

The onNext(), onComplete(), and onError() methods actually compose the Observer type – an interface implemented throughout RxJava to communicate the corresponding events. The following is the Observer interface definition (do not concern yourself with onSubscribe() for now, as we will cover it at the end of this chapter):

import io.reactivex.rxjava3.disposables.Disposable;

public interface Observer<T> {
void onSubscribe@NonNull Disposable d);
void onNext(@NonNull T value);
void onError(Throwable e);
void onComplete();
}

An Observer and source Observable are somewhat related. In one context, a source Observable is where emissions originate and the processing chain starts. In our previous examples, you could say that the Observable was returned by the Observable.create() or Observable.just() methods. But to the filter() operator...