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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

Replaying and caching

Multicasting also allows caching values that are shared across multiple observers. This may sound surprising, but when you think about it long enough, you may realize this makes sense. If we are sharing data across multiple observers, it makes sense that any caching feature would be shared across observers too.

Replaying and caching data is a multicasting activity, and we will explore now how to do it safely and efficiently with RxJava.

Replaying

The replay() operator is a powerful way to hold onto previous emissions and re-emit them when a new Observer comes in. It returns ConnectableObservable, which both multicasts emissions and emits previous emissions. It emits the cached values immediately when...

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