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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

Operators

Ideally, you will rarely get to a point where you need to build your own operator from scratch by implementing ObservableOperator or FlowableOperator. ObservableTransformer and FlowableTransformer will hopefully satisfy most cases where you can use existing operators to compose new ones, and this is usually the safest route. But on occasion, you may find yourself having to do something that the existing operators cannot do or not do easily. After you exhaust all other options, you may have to create an operator that manipulates each onNext(), onComplete(), and onError() event between the upstream and the downstream.

Before you go out and create your own operator, try to use existing operators first with compose() and a Transformer. After that fails, it is recommended that you post a question on StackOverflow and ask the RxJava community whether such an operator exists...

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