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

Windowing

The window() operator is almost identical to the buffer() operator, except that it buffers into another Observable rather than a collection. This results in an Observable<Observable<T>> that emits observables. Each Observable emission caches emissions for each scope and then flushes them once subscribed (much like the GroupedObservable from groupBy(), which we worked with in Chapter 4, Combining Observables). This allows emissions to be worked with immediately as they become available, rather than waiting for each list or collection to be finalized and emitted. The window() operator is also convenient to work with if you want to use operators to transform each batch.

Just like buffer(), you can limit each batch using fixed sizing, a time interval, or a boundary from another Observable.

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