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

Summary

In this chapter, we covered combining observables, which can be useful in a variety of ways. Merging is helpful in combining and simultaneously firing multiple observables and combining their emissions into a single stream.

The flatMap() operator is especially critical to know, as dynamically merging observables derived from emissions opens up a lot of useful functionality in RxJava.

Concatenation is similar to merging, but it fires off the source observables sequentially rather than all at once. Combining with ambiguous allows us to select the first Observable to emit and fire its emissions.

Zipping combines emissions from multiple observables, whereas combineLatest() combines the latest emissions from each source every time one of them fires.

Finally, grouping splits up an Observable into several GroupedObservable objects, each with emissions that have a common key.

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