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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

Grouping

A powerful operation that you can achieve with RxJava is to group emissions by a specified key into separate Observables. This can be achieved by calling the groupBy() operator, which accepts a lambda mapping each emission to a key. It will then return an Observable<GroupedObservable<K,T>>, which emits a special type of Observable called GroupedObservable. GroupedObservable<K,T> is just like any other Observable, but it has the key K value accessible as a property. It will emit the T emissions that are mapped for that given key.

For instance, we can use the groupBy() operator to group emissions for an Observable<String> by each String's length. We will subscribe to it in a moment, but here is how we declare it:

import io.reactivex.Observable;
import io.reactivex.observables.GroupedObservable;

public class Launcher {
public static...
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