Book Image

Learning RxJava

By : Thomas Nield
Book Image

Learning RxJava

By: Thomas Nield

Overview of this book

RxJava is a library for composing asynchronous and event-based programs using Observable sequences for the JVM, allowing developers to build robust applications in less time. Learning RxJava addresses all the fundamentals of reactive programming to help readers write reactive code, as well as teach them an effective approach to designing and implementing reactive libraries and applications. Starting with a brief introduction to reactive programming concepts, there is an overview of Observables and Observers, the core components of RxJava, and how to combine different streams of data and events together. You will also learn simpler ways to achieve concurrency and remain highly performant, with no need for synchronization. Later on, we will leverage backpressure and other strategies to cope with rapidly-producing sources to prevent bottlenecks in your application. After covering custom operators, testing, and debugging, the book dives into hands-on examples using RxJava on Android as well as Kotlin.
Table of Contents (21 chapters)
Title Page
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Using RxJava2-Extras and RxJava2Extensions


If you are interested in learning about additional operators beyond what RxJava provides, it may be worthwhile to explore the RxJava2-Extras and RxJava2Extensions libraries. While neither of these libraries are at a 1.0 version, useful operators, Transformers, and Observable/Flowable factories are continually added as an ongoing project.

Two useful operators are toListWhile() and collectWhile(). These will buffer emissions into a list or collection while they meet a certain condition. Because a BiPredicate passes both the list/collection and the next T item as lamda input parameters, you can use this to buffer items but cut off the moment something changes about the emissions. Here, we keep collecting strings into a list but push that list forward when the length changes (kind of like distinctUntilChanged()). We also will qualify a list being empty, as that is the start of the next buffer, as well as sample an item from the list to compare lengths...