Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788473026
Length 322 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Rivu Chakraborty Rivu Chakraborty
Author Profile Icon Rivu Chakraborty
Rivu Chakraborty
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. A Short Introduction to Reactive Programming FREE CHAPTER 2. Functional Programming with Kotlin and RxKotlin 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

The transforming operators


As the name suggests, the transforming operators help you transform items emitted by a producer.

Here is a brief list of transforming operators:

  • map
  • flatMap, concatMap, and flatMapIterable
  • switchMap
  • switchIfEmpty
  • scan
  • groupBy
  • startWith
  • defaultIfEmpty
  • sorted
  • buffer
  • window
  • cast
  • delay
  • repeat

The map operator

The map operator performs a given task (lambda) on each of the emitted items and emits them to the downstream. We have already seen a little use of the map operator. For a given Observable<T> or Flowable<T>, the map operator will transform an emitted item of type T into an emission of type R by applying the provided lambda of Function<T,R> to it.

So, now, let's take a look at another example with the map operator:

    fun main(args: Array<String>) { 
      val observable = listOf(10,9,8,7,6,5,4,3,2,1).toObservable() 
      observable.map {//(1) 
        number-> "Transforming Int to String $number" 
      }.subscribe { 
        item-> println("Received...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image