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Learning RxJava

You're reading from   Learning RxJava Build concurrent applications using reactive programming with the latest features of RxJava 3

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781789950151
Length 412 pages
Edition 2nd Edition
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Authors (2):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
Thomas Nield Thomas Nield
Author Profile Icon Thomas Nield
Thomas Nield
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Foundations of Reactive Programming in Java
2. Thinking Reactively FREE CHAPTER 3. Observable and Observer 4. Basic Operators 5. Section 2: Reactive Operators
6. Combining Observables 7. Multicasting, Replaying, and Caching 8. Concurrency and Parallelization 9. Switching, Throttling, Windowing, and Buffering 10. Flowable and Backpressure 11. Transformers and Custom Operators 12. Section 3: Integration of RxJava applications
13. Testing and Debugging 14. RxJava on Android 15. Using RxJava for Kotlin 16. Other Books You May Enjoy Appendix A: Introducing Lambda Expressions 1. Appendix B: Functional Types 2. Appendix C: Mixing Object-Oriented and Reactive Programming 3. Appendix D: Materializing and Dematerializing 4. Appendix E: Understanding Schedulers

Summary

In this chapter, you learned how to leverage buffering, windowing, throttling, and switching to cope with a rapidly emitting Observable. Ideally, we should leverage Flowable and backpressure when we see that an Observable is emitting faster than an Observer 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 one of the four categories of operationsbuffering, windowing, throttling, or switching—to limit how many emissions are passed downstream.

In the next chapter, we will learn about handling backpressure using Flowable, which provides a more proactive way to cope with a common case of rapid emissions that overwhelm an Observer.

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