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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, we covered combining observables, which can be useful in a variety of ways. Merging is helpful in combining and simultaneously firing multiple observables and combining their emissions into a single stream.

The flatMap() operator is especially critical to know, as dynamically merging observables derived from emissions opens up a lot of useful functionality in RxJava.

Concatenation is similar to merging, but it fires off the source observables sequentially rather than all at once. Combining with ambiguous allows us to select the first Observable to emit and fire its emissions.

Zipping combines emissions from multiple observables, whereas combineLatest() combines the latest emissions from each source every time one of them fires.

Finally, grouping splits up an Observable into several GroupedObservable objects, each with emissions that have a common key.

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