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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 FREE CHAPTER 2. Functional Programming with Kotlin and RxKotlin 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

Parallel execution versus concurrency


The concepts of concurrency and parallelization are not only related, but they are deeply connected to each other; you may think of them as identical twin brothers. They look almost the same, but there are differences. Let's try to discover.

In the previous example, we discussed concurrency, but it seemed to execute in parallel. Now, let's take a better example, which will not only help us understand parallelization, but will allow us to understand the differences between concurrency and parallelization as well.

Think of a hotel with 5 customers who ordered 15 dishes. These 15 dishes represent identical tasks, and each of them require to be cooked by a chef. Now, as with the previous example, think of the cooks as threads (in the previous example, you and your family member were playing the role of a cook in your home), but rather than sharing sub-parts of a dish, they will cook each dish at a time (because, obviously, there are 15 orders!).

Now, if you...

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