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Scala Functional Programming Patterns

You're reading from   Scala Functional Programming Patterns Grok and perform effective functional programming in Scala

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783985845
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Table of Contents (13) Chapters Close

Preface 1. Grokking the Functional Way FREE CHAPTER 2. Singletons, Factories, and Builders 3. Recursion and Chasing your Own Tail 4. Lazy Sequences – Being Lazy, Being Good 5. Taming Multiple Inheritance with Traits 6. Currying Favors with Your Code 7. Of Visitors and Chains of Responsibilities 8. Traversals – Mapping/Filtering/Folding/Reducing 9. Higher Order Functions 10. Actors and Message Passing 11. It's a Paradigm Shift Index

Defeating the dreaded diamond


We saw that the diamond prevented us from reusing the code. In C++ though, you can use Multiple inheritance (MI), as it is sparingly used. In Java, you cannot use MI at all. In Scala, what happens when we mix in traits with two or more traits that have the same method? We saw earlier that the rightmost trait method gets called.

Here, there is an elaborate process, linearization, that flattens out the hierarchy. The process is described in all its nitty-gritty detail in the code labeled as 1. The mechanism effectively results in a single-method resolution. This avoids the method ambiguity, also known as, the dreaded diamond.

You get to reuse an implementation, add dependencies, and stack up behaviors in this method. This is an incredibly powerful way to design loosely coupled code. And we never ever have to fear the dreaded diamond rearing its head.

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