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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

What is reactive programming?

Reactive programming is an asynchronous programming paradigm that revolves around data streams and the propagation of change. In simpler words, those programs which propagate all the changes that affected its data/data streams to all the interested parties (such as end users, components and sub-parts, and other programs that are somehow related) are called reactive programs.

For example, take any spreadsheet (say the Google Sheet), put any number in the A1 cell, and in the B1 cell, write the =ISEVEN(A1) function; it'll show TRUE or  FALSE, depending on whether you've entered an even or odd number. Now, if you modify the number in A1, the value of B1 will also get changed automatically; such behavior is called reactive.

Not clear enough? Let's look at a coding example and then try to understand it again. The following is a normal Kotlin code block to determine if a number is even or odd:

    fun main(args: Array<String>) { 
      var number = 4 
      var isEven = isEven(number) 
      println("The number is " + (if (isEven) "Even" else "Odd")) 
      number = 9 
      println("The number is " + (if (isEven) "Even" else "Odd")) 
    } 
 
    fun isEven(n:Int):Boolean = ((n % 2) == 0) 

If you check the output of the program, then you'll see that, although the number is assigned a new value, isEven is still true; however, if isEven was made to track changes of the number, then it would automatically become false. A reactive program would just do the same.

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