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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

Transformers

When working with RxJava, you may find yourself wanting to reuse pieces of an Observable or Flowable chain and somehow consolidate these operators into a new operator. Good developers find opportunities to reuse code, and RxJava provides this ability using ObservableTransformer and FlowableTransformer, which you can pass to the compose() operator.

ObservableTransformer

Bring back Google Guava as a dependency. In Chapter 3, Basic Operators, we covered the collect() operator and used it to turn  Observable<T> into a Single<ImmutableList<T>>. Effectively, we want to collect T emissions into a Google Guava ImmutableList<T>. Suppose we do this operation enough times until it starts...

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