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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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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

Balancing workload across actors

Often, you may want to ensure that all your worker actors are processing roughly the same number of messages. Akka provides a couple of interesting approaches to achieve this behavior. The first one is using a balancing dispatcher. This dispatcher is backed by ExecutorService where a group of actors shares the same mailbox. The dispatcher will try to redistribute work from busy actors to idle actors. This dispatcher can be easily used by implementing BalancingPool, as we will see in this recipe.

The second option is using SmallestMailboxRouter. When sending a message, this type of router would try to route the message to the actor with the mailbox with fewer messages. In this recipe, we will look at how to configure our actors to use either of these approaches.

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