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Learning RxJava

You're reading from   Learning RxJava Reactive, Concurrent, and responsive applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787120426
Length 400 pages
Edition 1st Edition
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Author (1):
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Thomas Nield Thomas Nield
Author Profile Icon Thomas Nield
Thomas Nield
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Toc

Table of Contents (14) Chapters Close

Preface 1. Thinking Reactively FREE CHAPTER 2. Observables and Subscribers 3. Basic Operators 4. Combining Observables 5. Multicasting, Replaying, and Caching 6. Concurrency and Parallelization 7. Switching, Throttling, Windowing, and Buffering 8. Flowables and Backpressure 9. Transformers and Custom Operators 10. Testing and Debugging 11. RxJava on Android 12. Using RxJava for Kotlin New Appendix

Ambiguous

After covering merging and concatenation, let's get an easy combine operation out of the way. The Observable.amb() factory (amb stands for ambiguous) will accept an Iterable<Observable<T>> and emit the emissions of the first Observable that emits, while the others are disposed of. The first Observable with an emission is the one whose emissions go through. This is helpful when you have multiple sources for the same data or events and you want the fastest one to win.

Here, we have two interval sources and we combine them with the Observable.amb() factory. If one emits every second while the other every 300 milliseconds, the latter is going to win because it will emit first:

import io.reactivex.Observable;
import java.util.Arrays;
import java.util.concurrent.TimeUnit;

public class Launcher {
public static void main(String[] args) {

//emit...
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