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Scala Design Patterns

You're reading from Scala Design Patterns Design modular, clean, and scalable applications by applying proven design patterns in Scala

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788471305

Length 396 pages

Edition 2nd Edition

Languages

Scala

Concepts

Design Patterns

Author (1):

Ivan Nikolov

View More author details

Table of Contents (14) Chapters

Preface

1. The Design Patterns Out There and Setting Up Your Environment

2. Traits and Mixin Compositions FREE CHAPTER

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 One

9. Behavioral Design Patterns – Part Two

10. Functional Design Patterns – the Deep Theory

11. Applying What We Have Learned

12. Real-Life Applications

13. Other Books You May Enjoy

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Summary

In this chapter, we learned about structural design patterns and specifically about the following—adapter, decorator, bridge, composite, facade, flyweight, and proxy. We went through the details of each of them and showed a class diagram as well as a code example for each. Because of the richness of Scala, sometimes there can be a better implementation using some of the nice features of Scala, but sometimes the design pattern just looks the same as it would in a language such as Java.

In many cases, the structural design patterns seem quite similar. This, however, shouldn't confuse you as they still have different purposes. Some examples include:

Adapter versus Bridge: Adapter is used to convert one interface to another when we do not have access to the code. Bridge is used while designing software and it decouples abstraction from implementation for easier...

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Authors (1)

Nikolov

Nikolov

Ivan Nikolov is a technical architect based in London. He works in the ad tech industry and uses Scala in combination with libraries and technologies such as Spark, Hadoop, RabbitMQ, Kafka, SQL and NoSQL stores, and Akka. He also uses other JVM and scripting languages. Some of the projects Ivan has worked on include a large-scale real-time machine learning platform, batch processing solutions, and high load APIs. Ivan also likes getting involved with open source projects, whether it be to contribute or get inspiration and good ideas.

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