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Akka Cookbook

You're reading from   Akka Cookbook Recipes for concurrent, fast, and reactive applications

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781785288180
Length 414 pages
Edition 1st Edition
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Authors (3):
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Vivek Mishra Vivek Mishra
Author Profile Icon Vivek Mishra
Vivek Mishra
Piyush Mishra Piyush Mishra
Author Profile Icon Piyush Mishra
Piyush Mishra
Héctor Veiga Ortiz Héctor Veiga Ortiz
Author Profile Icon Héctor Veiga Ortiz
Héctor Veiga Ortiz
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Toc

Table of Contents (12) Chapters Close

Preface 1. Diving into Akka FREE CHAPTER 2. Supervision and Monitoring 3. Routing Messages 4. Using Futures and Agents 5. Scheduling Actors and Other Utilities 6. Akka Persistence 7. Remoting and Akka Clustering 8. Akka Streams 9. Akka HTTP 10. Understanding Various Akka patterns 11. Microservices with Lagom

Custom stream processing


Sometimes, all the out-of-the-box Akka Streams stages do not cover a specific scenario you need. Akka Streams provides a set of APIs to create your own custom stage. Since Streams are essentially processing graphs, to create a custom stage, you need to extend the GraphStage abstraction. Let's not confuse GraphDSL with GraphStage. The main difference between GraphDSL, which is used to compose multiple stages into a single stage, and GraphStage is that the latter cannot be decomposed into smaller pieces.

At this point, we need to learn a bit about how Akka Streams works internally. To begin with, there is the concept of shape. A shape defines the number of input and output ports in your stage (known as inlets and outlets). For example, SourceShape has only one outlet. A SinkShape has one inlet. A FlowShape has one inlet and one outlet. It is also possible to have an AmorphousShape, which has an arbitrary number of inlets and outlets. Every GraphStage also encompasses...

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