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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

Concurrency and Parallel Processing in RxKotlin with Schedulers

So, up until now, you have learned the basics of reactive programming. You learned about Observable, Observers, and Subjects, as well as backpressure, Flowable, processors, and operators. Now, it's time for us to learn some other new topics in reactive programming, probably the most important ones—concurrency and parallel processing.

A popular misconception regarding reactive programming is that reactive programming is multi-threaded by default. The truth is actually that RxKotlin works on a single thread by default, although it provides us with loads of operators to implement multi-threading as per our business logic and requirements with ease.

In this chapter, we will cover the following topics:

  • Introduction to concurrency
  • The subscribeOn() and observeOn() operator
  • Parallelization
...
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