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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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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

Introducing RxJava concurrency

Concurrency in RxJava is simple to execute, but somewhat abstract to understand. By default, Observables execute work on the immediate thread, which is the thread that declared the Observer and subscribed it. In many of our earlier examples, this was the main thread that kicked off our main() method.

But as hinted in a few other examples, not all Observables will fire on the immediate thread. Remember those times we used Observable.interval(), as shown in the following code? Let's take a look:

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

public class Launcher {

public static void main(String[] args) {

Observable.interval(1, TimeUnit.SECONDS)
.map(i -> i + " Mississippi")
.subscribe(System.out::println);

sleep(5000);
}
public static void sleep(long millis...
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