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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 have learned about multicasting using ConnectableObservable and Subject. The biggest takeaway is that Observable operators result in separate streams of events for each Observer that subscribes to it. If you want to consolidate these multiple streams into a single stream to prevent redundant work, the best way is to call publish() on an Observable to yield ConnectableObservable. You can then manually call connect() to fire emissions once your observers are set up or automatically trigger a connection using autoConnect() or refCount().

Multicasting also enables replaying and caching, so a tardy Observer can receive missed emissions. A Subject object provides a way to multicast and cache emissions as well, but you should only utilize it if existing operators cannot achieve what you want.

In the next chapter, we will start working with concurrency. This...

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