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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

The Event Streaming Pattern

We have already discussed what an Event Stream is and its usage in Chapter 7, Working with Reactive Systems. Please refer to that chapter for more details.

Like a Messaging Queue, which is useful to store Messages, an Event Stream is useful to store a Set of Events. In other words, we can say that an Event Stream is a sequence of events.

As we know, in a Reactive System, each User Action is represented as an Event. These events are stored in a data store, as shown here:

Let's look at the Cassandra Data store for a better understanding. We also used the same data store to store our WF (Weather Forecasting) Reactive System events.

In Cassandra, we store our System's sequence of Events into an Event Stream. It is known as a Journal. We use Akka Persistence and Lagom Framework's Persistence API to store or retrieve our System's events...

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