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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 2. Singletons, Factories, and Builders FREE CHAPTER 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

Persistent data structures


As you can guess by now, immutability is the underlying big theme. The following Java code reverses a list in place:

List<Integer> list = Lists.newArrayList(1,2,3,4); 
// List<Integer> refList = Lists.newArrayList(list); // 1 
List<Integer> refList = list; 
Collections.reverse(list); 

System.out.println(list); 
System.out.println(refList);

The problem is when we do the reversal in place, the code using the list as a reference also sees the change. To prevent this, we need to use the statement at the part labeled as 1—the defensive copy technique. The other problem with changing the list in place is thread safety. We need to carefully synchronize the list access so we stay away from heisenbugs. To know more about them, refer to

http://opensourceforu.efytimes.com/2010/10/joy-of-programming-types-of-bugs/

Scala, instead, advocates immutable lists; we cannot change the list structure in place; instead, we create a new list:

import scala.annotation...
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