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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
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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

Understanding 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 are Flowable.range(), Flowable.just(), Flowable.fromIterable(), and Flowable.interval(). Most of these sources support backpressure. Their 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? Contemplate the fact that each emission is tied to the time it emits. If we slowed down Flowable.interval(), our emissions would no longer reflect the specified time interval and become misleading. Therefore, Flowable.interval() is one of those few cases in the standard API that can throw MissingBackpressureException the moment the downstream starts backpressuring. In the following example...

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