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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

Flowables and Backpressure

In the previous chapter, we learned about different operators that intercept rapidly firing emissions and either consolidate or omit them to decrease the emissions passed downstream. But for most cases where a source is producing emissions faster than the downstream can process them, it is better to proactively make the source slow down in the first place and emit at a pace that agrees with the downstream operations. This is known as backpressure or flow control, and it can be enabled by using a Flowable instead of an Observable. This will be the core type that we work with in this chapter, and we will learn about the right times to leverage it in our applications. We will cover the following topics in this chapter:

  • Understanding backpressure
  • Flowable and Subscriber
  • Using Flowable.create()
  • Interoperating Observables and Flowables
  • Backpressure operators...
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