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Learning RxJava

You're reading from   Learning RxJava Reactive, Concurrent, and responsive applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787120426
Length 400 pages
Edition 1st Edition
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Author (1):
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Thomas Nield Thomas Nield
Author Profile Icon Thomas Nield
Thomas Nield
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Table of Contents (14) Chapters Close

Preface 1. Thinking Reactively 2. Observables and Subscribers FREE CHAPTER 3. Basic Operators 4. Combining Observables 5. Multicasting, Replaying, and Caching 6. Concurrency and Parallelization 7. Switching, Throttling, Windowing, and Buffering 8. Flowables and Backpressure 9. Transformers and Custom Operators 10. Testing and Debugging 11. RxJava on Android 12. Using RxJava for Kotlin New Appendix

Windowing

The window() operators are almost identical to buffer(), except that they buffer into other Observables rather than collections. This results in an Observable<Observable<T>> that emits Observables. Each Observable emission will cache emissions for each scope and then flush 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 cut-off each batch using fixed sizing, a time interval, or a boundary from another Observable.

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