Book Image

Scala Reactive Programming

By : Rambabu Posa
Book Image

Scala Reactive Programming

By: Rambabu Posa

Overview of this book

Reactive programming is a scalable, fast way to build applications, and one that helps us write code that is concise, clear, and readable. It can be used for many purposes such as GUIs, robotics, music, and others, and is central to many concurrent systems. This book will be your guide to getting started with Reactive programming in Scala. You will begin with the fundamental concepts of Reactive programming and gradually move on to working with asynchronous data streams. You will then start building an application using Akka Actors and extend it using the Play framework. You will also learn about reactive stream specifications, event sourcing techniques, and different methods to integrate Akka Streams into the Play Framework. This book will also take you one step forward by showing you the advantages of the Lagom framework while working with reactive microservices. You will also learn to scale applications using multi-node clusters and test, secure, and deploy your microservices to the cloud. By the end of the book, you will have gained the knowledge to build robust and distributed systems with Scala and Akka.
Table of Contents (16 chapters)

The Pull pattern

Like the Throttling Reactive Pattern, the Pull Reactive Pattern is also a Reactive System's Flow control pattern.

As we discussed in the Backpressure section in Chapter 7, Working with Reactive Streams, our Reactive Systems may have the following two flavors of Producers/Consumers:

  • Faster Producer/Slow Consumer
  • Slow Producer/Faster Consumer

In the Faster Producer/Slow Consumer scenario, Pull-based communication is suitable because the Consumer pulls its required amount of data from the Producer to avoid Buffer Overflow issues.

In the Slower Producer/Faster Consumer scenario, Push-based communication is suitable because the Producer pushes more amounts of data from the Producer to Consumer to avoid the Consumer's waiting time issues.

To solve this problem, Reactive Technologies use the Backpressure technique, which is a Flow Control mechanism. It uses...