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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 FREE CHAPTER 2. Observables and Subscribers 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

Extension operators

As covered earlier, Kotlin provides extension functions. These can be an enormously helpful alternative to using just compose() and lift().

For instance, we could not use Transformers and compose() to turn an Observable<T> into a Single<R>. But this is more than doable with Kotlin extension functions. In the following code, we create a toSet() operator and add it to Observable<T>:

import io.reactivex.Observable

fun main(args: Array<String>) {

val source = Observable.just("Alpha", "Beta", "Gama", "Delta",
"Epsilon")

val asSet = source.toSet()

}

fun <T> Observable<T>.toSet() =
collect({ HashSet<T>() }, { set, next -> set.add(next) })
.map { it as Set<T> }

The toSet()returns a Single<Set<T>>, and it was called on...

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