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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

Immutability is golden


Time and again, we have talked of making data structures immutable. We can pass them around without two threads changing the shared state (that is, data structure) at the same time. Immutability makes up for less moving parts, and hence the reasoning about such systems is simpler.

The issue here is when two (or more) threads update a shared object, a race condition is said to happen. Refer to http://stackoverflow.com/questions/34510/what-is-a-race-condition to know more about races.

If we make the objects immutable, race conditions are not possible, as no thread can update it.

To make a mutable instance immutable, we could wrap it up. However, we should not leak any references out. Here is an example Java snippet that illustrates this problem:

public class Wrapper {
  private final List<Integer> value;
  
  public Wrapper() {
    value = new ArrayList<Integer>();
    //...
  }

  public List<Integer> getValue() {
    return value;
  }

  public synchronized...
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