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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

Windowing

The window() operator is almost identical to the buffer() operator, except that it buffers into another Observable rather than a collection. This results in an Observable<Observable<T>> that emits observables. Each Observable emission caches emissions for each scope and then flushes them once subscribed (much like the GroupedObservable from groupBy(), which we worked with in Chapter 4, Combining Observables). This allows emissions to be worked with immediately as they become available, rather than waiting for each list or collection to be finalized and emitted. The window() operator is also convenient to work with if you want to use operators to transform each batch.

Just like buffer(), you can limit each batch using fixed sizing, a time interval, or a boundary from another Observable.

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