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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

Ask Reactive Design Pattern

In a Reactive System, one component asks or delegates its computation to another component by sending a Message and continues its further steps in an asynchronous way. Once the other component finishes that computation, it will send a response to the original component.

In simple words, one component delegates its request and asks another component to serve that request.

For instance, Akka Toolkit has implemented this Ask pattern as akka.pattern.ask. Like Tell, it also has a function ask and has an operator—? (Ask operator).

Let's implement an Akka application to demonstrate this Ask operator:

  1. Develop a Data model, as shown here:
      case object GetWeather 
      case class WeatherForecast(city:String, temperature:String) 
  1. Develop the WF (Weather Forecasting) Actor, as shown here:
      class WFClient(wfTeller: ActorRef) extends Actor...
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