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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

Understanding Schedulers

You will likely not use schedulers like this in isolation as we are about to do in this section. You are more likely to use them with observeOn() and subscribeOn(). But here is how they work in isolation outside of an Rx context.

A Scheduler is RxJava's abstraction for pooling threads and scheduling tasks to be executed by them. These tasks may be executed immediately, delayed, or repeated periodically depending on which of its execution methods are called. These execution methods are scheduleDirect() and schedulePeriodicallyDirect(), which have a few overloads. Below, we use the computation Scheduler to execute an immediate task, a delayed task, and a repeated task as shown below:

import io.reactivex.Scheduler;
import io.reactivex.schedulers.Schedulers;

import java.util.concurrent.TimeUnit;

public class Launcher {

public static void main(String[...
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