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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
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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

Sharing data between nodes in an Akka cluster


Another interesting task you can accomplish through an Akka cluster is to have distributed data across all the nodes. The distributed data module allows you to use Conflict-Free Replicated Data Types (CRDTs) to have eventually consistent data structures. CRDTs permit you to execute updates from any node without coordination. In the case of update collision, the algorithm uses a monotonic merge function to resolve the issue.

This data is spread across cluster nodes via replication, and all the updates to these data structures are advertised by a Gossip protocol. The idea behind using Gossip is that all members should converge and decide the current state of a given data structure. By default, the Akka distributed data module provides the following data structures; however, it is possible to create your own custom ReplicatedData types:

  • Counters: GCounter and PNCounter
  • Sets: GSet and  ORSet
  • Maps: ORMap, ORMultiMap, LWWMap, and PNCounterMap
  • Registers...
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