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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 a scheduler?


In ReactiveX, the heart of concurrency lies in schedulers. As I have already mentioned, by default, the Observable and the chain of operators applied to it will do the work on the same thread where subscribe is called, and the thread will be blocked until Observer receives the onComplete or onError notification. We can use schedulers to change this behavior.

A scheduler can be thought of as a thread pool, from which ReactiveX can pool a thread and execute its task on it. It's basically an abstraction over multithreading and concurrency, making the implementation of concurrency a lot easier in ReactiveX.

Types of scheduler

As an abstraction layer for thread pool management, the scheduler API provides you with some pre-composed scheduler. It also allows you to create a new user-defined scheduler. Let's take a look at the available scheduler types:

  • Schedulers.io()
  • Schedulers.computation()
  • Schedulers.newThread()
  • Schedulers.single()
  • Schedulers.trampoline()
  • Schedulers.from()

We will...

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