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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

Flowable

We may call Flowables a backpressured version of Observables. Probably, the only difference between Flowables and Observables is that Flowable takes backpressure into consideration. Observable does not. That's it. Flowable hosts the default buffer size of 128 elements for operators, so, when the consumer is taking time, the emitted items may wait in the buffer.

Note that Flowables were added in ReactiveX 2.x (RxKotlin 2.X), and the previous versions don't include them. Instead, in previous versions, Observables was retrofitted to support backpressure that caused many unexpected MissingBackpressureException.
Here is the release note if you are interested:
https://github.com/ReactiveX/RxJava/wiki/What%27s-different-in-2.0#observable-and-flowable

We had a long discussion so far; let's now try our hands on code. At first, we will try a code with Observable...

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