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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

Blocking operators

In RxJava, there is a set of operators we have not covered yet, called blocking operators. Such an operator serves as an immediate proxy between the reactive world and the stateful one, blocking and waiting for results to be emitted, and then returns in a non-reactive way. Even if the reactive operations are working on different threads, the blocking operator stops the declaring thread and makes it wait for the result in a synchronized manner, much like blockingSubscribe().

A blocking operator is especially helpful in making the results of Observable or Flowable chain processing available for evaluation. However, you should avoid using it in production because it encourages anti-patterns and undermines the benefits of reactive programming. For testing, you still want to prefer TestObserver and TestSubscriber, which we will cover later. In this section, however...

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Learning RxJava
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