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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Dive into the Scala framework with this programming guide, created to help you learn Scala and to build intricate, modern, scalable concurrent applications

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Product type Paperback
Published in Nov 2014
Publisher Packt
ISBN-13 9781783281411
Length 366 pages
Edition 1st Edition
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Author (1):
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Aleksandar Prokopec Aleksandar Prokopec
Author Profile Icon Aleksandar Prokopec
Aleksandar Prokopec
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Table of Contents (11) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Concurrency on the JVM and the Java Memory Model 3. Traditional Building Blocks of Concurrency 4. Asynchronous Programming with Futures and Promises 5. Data-Parallel Collections 6. Concurrent Programming with Reactive Extensions 7. Software Transactional Memory 8. Actors 9. Concurrency in Practice Index

Actor supervision


When studying the actor life cycle, we said that top-level user actors are by default restarted when an exception occurs. We now take a closer inspection at how this works. In Akka, every actor acts as a supervisor for its children. When a child fails, it suspends the processing messages, and sends a message to its parent to decide what to do about the failure. The policy that decides what happens to the parent and the child after the child fails is called the supervision strategy. The parent might decide to do the following:

  • Restart the actor, indicated with the Restart message

  • Resume the actor without a restart, indicated with the Resume message

  • Permanently stop the actor, indicated with the Stop message

  • Fail itself with the same exception, indicated with the Escalate message

By default, the user guardian actor comes with a supervision strategy that restarts the failed children access. User actors stop their children by default. Both supervision strategies can be overridden...

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