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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

Introduction to Backpressure and Flowables

So far, we were trying to understand the push-based architecture of reactive programming. By now, we have gained a good understanding of Observables. We now understand that an Observable emits items to be consumed by an Observer for further processing. However, while going through previous chapters, did you ever think of a situation where the Observable emits items faster than the Observer can consume them? This whole chapter is devoted to this problem. We will start by trying to understand how and when this problem may occur, and then we will try to solve the problem.

So, in this chapter, we will focus on the following topics, and by the end of the chapter we should have a solution to the problem mentioned earlier:

  • Understanding backpressure
  • Flowables and Subscriber
  • Creating Flowables with Flowable.create()
  • Using Observable and Flowables...
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