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Learning Scala Programming

You're reading from   Learning Scala Programming Object-oriented programming meets functional reactive to create Scalable and Concurrent programs

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788392822
Length 426 pages
Edition 1st Edition
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Author (1):
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Vikash Sharma Vikash Sharma
Author Profile Icon Vikash Sharma
Vikash Sharma
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Vikash Sharma is a software developer and open source technology evangelist. He tries to keep things simple, which helps him write clean and manageable code. He has invested a large amount of time learning and implementing Scala code, and he has authored video courses for Scala. He works as a developer at SAP Labs.
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Toc

Table of Contents (16) Chapters Close

1. Getting Started with Scala Programming FREE CHAPTER 2. Building Blocks of Scala 3. Shaping our Scala Program 4. Giving Meaning to Programs with Functions 5. Getting Familiar with Scala Collections 6. Object-Oriented Scala Basics 7. Next Steps in Object-Oriented Scala 8. More on Functions 9. Using Powerful Functional Constructs 10. Advanced Functional Programming 11. Working with Implicits and Exceptions 12. Introduction to Akka 13. Concurrent Programming in Scala 14. Programming with Reactive Extensions 15. Testing in Scala 16. Other Books You May Enjoy

Default supervision strategy

By default, the Akka system looks for a few exception types from failure messages received from child Actors. Let's take a look at those scenarios.

The default supervision strategy will stop the failing child Actor in case of:

  • ActorInitializationException
  • ActorKilledException
  • DeathPactException

Note that in case of exception, it'll restart the failing Actor.

With this information, let's try implementing one strategy on our own.

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Authors (1)

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Sharma
Tushar Sharma has a master's degree specializing in data science from the International Institute of Information Technology, Bangalore. He works as a data scientist with Intel. In his previous job he used to work as a research engineer for a financial consultancy firm. His work involves handling big data at scale generated by the massive infrastructure at Intel. He engineers and delivers end to end solutions on this data using the latest machine learning tools and frameworks. He is proficient in R, Python, Spark, and mathematical aspects of machine learning among other things. Tushar has a keen interest in everything related to technology. He likes to read a wide array of books ranging from history to philosophy and beyond. He is a running enthusiast and likes to play badminton and tennis.
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