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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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Toc

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

Chapter case example


An important part of every program is efficiency. In many cases, we can time our methods and find bottlenecks in our applications. Let's look at an example program that we will try and time afterwards.

We will have a look at parsing. In many real-life applications, we have to read data in specific formats and parse it to the objects in our code. For this example, we will have a small database of people represented in a JSON format:

[
  {
    "firstName": "Ivan",
    "lastName": "Nikolov",
    "age": 26
  },
  {
    "firstName": "John",
    "lastName": "Smith",
    "age": 55
  },
  {
    "firstName": "Maria",
    "lastName": "Cooper",
    "age": 19
  }
]

To represent this JSON in Scala, we have to define our model. It will be simple and contain only one class: Person. Here is the code for it:

case class Person(firstName: String, lastName: String, age: Int)

Since we will be reading JSON inputs, we will have to parse them. There are many parsers out there, and everyone might...

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