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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 (20) Chapters Close

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
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

Learning Buffer, Throttle, and Window operators


So far, we have learned about backpressure. We slowed down the source, dropped items, or used buffer, which will hold items until the consumer consumes it; however, will all these suffice? While handling backpressure at the downstream is not a good solution always, we cannot always slow down the source as well.

While using Observable.interval/Flowable.interval, you cannot slow down the source. A stop gap could be some operators that would somehow allow us to process the emissions simultaneously.

There are the three operators that could help us in that way:

  • Buffer
  • Throttle
  • Window

The buffer() operator

Unlike the onBackPressureBuffer() operator, which buffers emissions until the consumer consumes, the buffer() operator will gather emissions as a batch and will emit them as a list or any other collection type.

So, let's look at this example:

    fun main(args: Array<String>) { 
      val flowable = Flowable.range(1,111)//(1) 
      flowable.buffer...
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