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Learning RxJava

Learning RxJava - Second Edition

By : Nick Samoylov, Nield
4.8 (4)
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Learning RxJava

Learning RxJava

4.8 (4)
By: Nick Samoylov, 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)
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1
Section 1: Foundations of Reactive Programming in Java
5
Section 2: Reactive Operators
12
Section 3: Integration of RxJava applications
1
Appendix A: Introducing Lambda Expressions
2
Appendix B: Functional Types
5
Appendix E: Understanding Schedulers

Conditional operators

Conditional operators emit or transform Observable conditionally. This allows a control flow to be organized and the path of execution to be determined, which is especially important for adding decision-making ability to your program.

takeWhile() and skipWhile()

Another variant of the take() operator is the takeWhile() operator, which takes emissions while a condition derived from each emission is true. The following example will keep taking emissions while emissions are less than 5. The moment it encounters one that is not, it will generate the onComplete event and dispose of the used resources:

import io.reactivex.rxjava3.core.Observable;

public class Ch3_01 {
public static void main(String[] args...
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Learning RxJava
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