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Reactive Programming in Kotlin

You're reading from   Reactive Programming in Kotlin Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788473026
Length 322 pages
Edition 1st Edition
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Author (1):
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Rivu Chakraborty Rivu Chakraborty
Author Profile Icon Rivu Chakraborty
Rivu Chakraborty
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Table of Contents (13) Chapters Close

Preface 1. A Short Introduction to Reactive Programming 2. Functional Programming with Kotlin and RxKotlin FREE CHAPTER 3. Observables, Observers, and Subjects 4. Introduction to Backpressure and Flowables 5. Asynchronous Data Operators and Transformations 6. More on Operators and Error Handling 7. Concurrency and Parallel Processing in RxKotlin with Schedulers 8. Testing RxKotlin Applications 9. Resource Management and Extending RxKotlin 10. Introduction to Web Programming with Spring for Kotlin Developers 11. REST APIs with Spring JPA and Hibernate 12. Reactive Kotlin and Android

Creating Flowable from scratch


We learned about the Observable.create method in the previous chapter, but to make things less complicated, let's have a quick recap, and then we can continue with Flowable.create. Take a look at the following piece of code:

    fun main(args: Array<String>) { 
      val observer: Observer<Int> = object : Observer<Int> { 
        override fun onComplete() { 
            println("All Completed") 
        } 
 
        override fun onNext(item: Int) { 
            println("Next $item") 
        } 
 
        override fun onError(e: Throwable) { 
            println("Error Occured ${e.message}") 
        } 
 
        override fun onSubscribe(d: Disposable) { 
            println("New Subscription ") 
        } 
       }//Create Observer 
 
       val observable: Observable<Int> = Observable.create<Int> {//1 
         for(i in 1..10) { 
            it.onNext(i) 
         } 
         it.onComplete() 
       } 
 
       observable.subscribe...
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