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

Understanding the Flowable and Subscriber


Pretty much all the Observable factories and operators you learned up to this point also apply to Flowable. On the factory side, there is Flowable.range(), Flowable.just(), Flowable.fromIterable(), and Flowable.interval(). Most of these implement backpressure for you, and usage is generally the same as the Observable equivalent.

However, consider Flowable.interval(), which pushes time-based emissions at fixed time intervals. Can this be backpressured logically? Contemplate the fact that each emission is sensitively tied to the time it emits. If we slowed down Flowable.interval(), our emissions would no longer reflect time intervals and become misleading. Therefore, Flowable.interval() is one of those few cases in the standard API that can throw MissingBackpressureException the moment downstream requests backpressure. Here, if we emit every millisecond against a slow intenseCalculation() that occurs after observeOn(), we will get this error:

 import...