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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

Cluster Sharding


Akka Cluster Sharding is a helper module that automatically distributes actors across multiple cluster nodes. These actors have an identifier and they are commonly known as entities. Each actor entity runs only at one location, and you can interact with them through the ClusterSharding extension. A shard is a group of entities that is managed together through an EntityId.

Cluster Sharding takes care of routing the message to the expected destination, so you don't need to know where the actors are running. It needs a persistent store to store actor information. We will configure our app to use the distributed data store, which will be the default as of Akka 2.5.0. We will learn more about distributed data in the next recipe.

Cluster Sharding is used when you have stateful actors where the size of the state does not fit the memory of a single machine. We can easily scale an application beyond a single machine, thanks to Cluster Sharding.

In this recipe, we are going to test this...

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