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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

Blocking subscribers

Remember how sometimes we have to stop the main thread from racing past an Observable or Flowable that operates on a different thread and keep it from exiting the application before it has a chance to fire? We often prevented this using Thread.sleep(), especially when we used Observable.interval(), subscribeOn(), or observeOn(). The following code shows how we did this typically and kept an Observable.interval() application alive for five seconds:

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

public class Launcher {

public static void main(String[] args) {
Observable.interval(1, TimeUnit.SECONDS)
.take(5)
.subscribe(System.out::println);

sleep(5000);
}

public static void sleep(int millis) {
try {
Thread.sleep(millis);
} catch (InterruptedException...
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