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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

Asynchronous Data Operators and Transformations

Through the previous chapters, we got a strong grip on the producer (Observable and Flowable) and consumer (Observer and Subscriber). While learning them, we used the map method a lot. As already mentioned, the map method is actually an Rx-Operator. There are also a number of operators in RxKotlin. I can guess you have an itching question in your mind from the very first time we used the map operator. Why do we call it an operator when it looks like a method? Well, in this chapter, we will first try to answer this question by defining RxKotlin operators. We will then take a deeper look at the various operators available and their implementations. With the help of operators, we will transform, accumulate, map, group, and filter our data efficiently and with ease.

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