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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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 Nield Nield
Author Profile Icon Nield
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

Reducing operators

You will likely have moments where you want to take a series of emissions and consolidate them into a single emission (usually emitted through a Single). We will cover a few operators that accomplish this. Note that nearly all of these operators only work on a finite Observable that calls onComplete() because typically, we can consolidate only finite datasets. We will explore this behavior as we cover these operators.

count()

The simplest operator to consolidate emissions into a single one is count(). It will count the number of emissions and emit through a Single once onComplete() is called, shown as follows:

import io.reactivex.Observable;

public class Launcher {
public static void...
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