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Scala Reactive Programming

You're reading from   Scala Reactive Programming Build scalable, functional reactive microservices with Akka, Play, and Lagom

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787288645
Length 552 pages
Edition 1st Edition
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Author (1):
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Rambabu Posa Rambabu Posa
Author Profile Icon Rambabu Posa
Rambabu Posa
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with Reactive and Functional Programming FREE CHAPTER 2. Functional Scala 3. Asynchronous Programming with Scala 4. Building Reactive Applications with Akka 5. Adding Reactiveness with RxScala 6. Extending Applications with Play 7. Working with Reactive Streams 8. Integrating Akka Streams to Play Application 9. Reactive Microservices with Lagom 10. Testing Reactive Microservices 11. Managing Microservices in ConductR 12. Reactive Design Patterns and Best Practices 13. Scala Plugin for IntelliJ IDEA 14. Installing Robomongo 15. Other Books You May Enjoy

Scala Functional Design Patterns

As a Java or Scala-experienced developer, I guess you are already familiar with some of the OOP design patterns. You may be not aware of Scala Functional Design Patterns.

Scala source code or applications use the following Functional Design Patterns extensively:

  • Monoid
  • Functor
  • Monad

All these three terminologies come from Mathematics Category Theory (MAT). Let's delve into each of these, one by one in the following sections:

  • Monoid: In Scala, Monoid is a type class or data structure with the following two rules:
    • Associative rule:
              (A1 Op A2) Op A3 == A1 Op (A2 Op A3)
    • Identity rule: This rule states that, suppose we make a call to a function with two elements. This Identity rule states if that function returns a second element as is, without any change, then that first element is known as an Identity element:

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