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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

Using onBackpressureXXX() operators

If you are provided a Flowable that has no backpressure implementation (including ones derived from Observable), you can apply BackpressureStrategy using onBackpressureXXX() operators. These also provide a few additional configuration options. This can be helpful if, for example, you have a Flowable.interval() that emits faster than consumers can keep up. Flowable.interval() cannot be slowed down at the source because it is time-driven, but we can use an onBackpressureXXX() operator to proxy between it and the downstream. We will use Flowable.interval() for these examples, but this can apply to any Flowable that does not have backpressure implemented.

 

Sometimes, Flowable may simply be configured with BackpressureStrategy.MISSING so these onBackpressureXXX() operators can specify the strategy later.

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