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Scala Design Patterns

You're reading from   Scala Design Patterns Write efficient, clean, and reusable code with Scala

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785882500
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Ivan Nikolov Ivan Nikolov
Author Profile Icon Ivan Nikolov
Ivan Nikolov
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Table of Contents (14) Chapters Close

Preface 1. The Design Patterns Out There and Setting Up Your Environment FREE CHAPTER 2. Traits and Mixin Compositions 3. Unification 4. Abstract and Self Types 5. Aspect-Oriented Programming and Components 6. Creational Design Patterns 7. Structural Design Patterns 8. Behavioral Design Patterns – Part 1 9. Behavioral Design Patterns – Part 2 10. Functional Design Patterns – The Deep Theory 11. Functional Design Patterns – Applying What We Learned 12. Real-Life Applications Index

Memoization

Writing high performance programs is usually a mixture of using good algorithms and the smart usage of computer processing power. Caching is one mechanism that can help us, especially when a method takes time to calculate or it's called a lot of times in our application.

Note

Memoization is a mechanism of recording a function result based on its arguments in order to reduce computation in consecutive calls.

Along with saving CPU cycles, memoization can also be useful to minimize the application memory footprint by only having one instance of each result. Of course, for this entire mechanism to work, we need to have a function that always returns the same result when the same arguments are passed.

Memoization example

There are different ways to achieve memoization. Some of them use imperative programming styles and it's pretty straightforward to get to them. Here we will show an approach, which is more suitable for Scala.

Let's imagine that we will need to hash strings...

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