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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 2. Observables and Subscribers FREE CHAPTER 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

Understanding the Flowable and Subscriber

Pretty much all the Observable factories and operators you learned up to this point also apply to Flowable. On the factory side, there is Flowable.range(), Flowable.just(), Flowable.fromIterable(), and Flowable.interval(). Most of these implement backpressure for you, and usage is generally the same as the Observable equivalent.

However, consider Flowable.interval(), which pushes time-based emissions at fixed time intervals. Can this be backpressured logically? Contemplate the fact that each emission is sensitively tied to the time it emits. If we slowed down Flowable.interval(), our emissions would no longer reflect time intervals and become misleading. Therefore, Flowable.interval() is one of those few cases in the standard API that can throw MissingBackpressureException the moment downstream requests backpressure. Here, if we emit...

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