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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

Memoization and the flyweight pattern


Memoization is caching of oft-repeated computation results. This is a way to avoid recalculating the result again. Flyweight is a design pattern that uses memoization. A flyweight is an object that minimizes memory use by sharing. A very good example of a flyweight is Java's Integer.valueOf(int) method.

Java supports autoboxing of primitives to corresponding wrapper types. We should always prefer. Let's have a look at the following snippet:

        int someInt = ...; 
        Integer someInteger = someInt; 

instead of the following:

        new Integer(someInt);

If we happen to auto-box (int → Integer) values in the range of 128 to 127, the valueOf() method allows us to reuse the Integer object. As integer instances are immutable, we can rest easy about sharing the same integer instance across the application.

The following JUnit test case shows the memoization:

 @Test
 public void test() {
  Integer a1 = Integer.valueOf(12);
  Integer a2 = Integer.valueOf...
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