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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

Merging

A common task done in ReactiveX is taking two or more Observable<T> instances and merging them into one Observable<T>. This merged Observable<T> will subscribe to all of its merged sources simultaneously, making it effective for merging both finite and infinite Observables. There are a few ways that we can leverage this merging behavior using factories as well as operators.

Observable.merge() and mergeWith()

The Observable.merge() operator will take two or more Observable<T> sources emitting the same type T and then consolidate them into a single Observable<T>.

If we have only two to four Observable<T> sources to merge, you can pass each one as an argument to the Observable...

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