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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

When to use Flowables and Observables

By now, you may think Flowable is a handy tool to use, so you could replace Observable everywhere. However, this may not always be the case. Although Flowable provides us with backpressure strategies, Observables are here for a reason, and both of them have their own advantages and disadvantages. So, when to use which? Let's see.

When to use Flowables?

The following are the situations when you should consider using Flowables. Remember, Flowables are slower than Observables:

  • Flowables and backpressure are meant to help deal with larger amounts of data. So, use flowable if your source may emit 10,000+ items. Especially when the source is asynchronous so that the consumer chain may...
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