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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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Toc

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

Summary

In this chapter, you learned how to leverage buffering, windowing, throttling, and switching to cope with rapidly emitting Observables. Ideally, we should leverage Flowables and backpressure when we see that Observables are emitting faster than the Observers can keep up with, which we will learn about in the next chapter. But for situations where backpressure cannot work, such as user inputs or timer events, you can leverage these three categories of operations to limit how many emissions are passed downstream.

In the next chapter, we will learn about backpressuring with Flowables, which provides more proactive ways to cope with common cases of rapid emissions overwhelming Observers.

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