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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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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

Linearization


The reason why multiple inheritances become a burden when we try to implement them is due to the diamond problem. Take a look at the following image:

Diamond problem

Here, suppose we have an abstract class named Language, that has a method named sayHello. Two traits, named British and Spanish, extend the abstract Language class and define their own implementation of the sayHello method. Then we create a trait, named Socializer, that mixes in the other two traits with a super call to the sayHello method implementation. Now, confusion occurs as to which implementation of sayHello is getting called when we invoke this method. The primary reason for this problem is there's no multiple inheritance in Java, but Scala supports a form of multiple inheritance through trait mix-in. The concept Scala uses to resolve the problem of super calls is linearization. Let's first code for the problem and see it's behavior, then we'll understand linearization and the rules that justify the behavior...

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