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Go Design Patterns

You're reading from  Go Design Patterns

Product type Book
Published in Feb 2017
Publisher Packt
ISBN-13 9781786466204
Pages 402 pages
Edition 1st Edition
Languages
Author (1):
Mario Castro Contreras Mario Castro Contreras
Profile icon Mario Castro Contreras
Toc

Table of Contents (17) Chapters close

Go Design Patterns
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Ready... Steady... Go! 2. Creational Patterns - Singleton, Builder, Factory, Prototype, and Abstract Factory Design Patterns 3. Structural Patterns - Composite, Adapter, and Bridge Design Patterns 4. Structural Patterns - Proxy, Facade, Decorator, and Flyweight Design Patterns 5. Behavioral Patterns - Strategy, Chain of Responsibility, and Command Design Patterns 6. Behavioral Patterns - Template, Memento, and Interpreter Design Patterns 7. Behavioral Patterns - Visitor, State, Mediator, and Observer Design Patterns 8. Introduction to Gos Concurrency 9. Concurrency Patterns - Barrier, Future, and Pipeline Design Patterns 10. Concurrency Patterns - Workers Pool and Publish/Subscriber Design Patterns

Proxy design pattern


We'll start the final chapter on structural patterns with the Proxy pattern. It's a simple pattern that provides interesting features and possibilities with very little effort.

Description

The Proxy pattern usually wraps an object to hide some of its characteristics. These characteristics could be the fact that it is a remote object (remote proxy), a very heavy object such as a very big image or the dump of a terabyte database (virtual proxy), or a restricted access object (protection proxy).

Objectives

The possibilities of the Proxy pattern are many, but in general, they all try to provide the same following functionalities:

  • Hide an object behind the proxy so the features can be hidden, restricted, and so on

  • Provide a new abstraction layer that is easy to work with, and can be changed easily

Example

For our example, we are going to create a remote proxy, which is going to be a cache of objects before accessing a database. Let's imagine that we have a database with many users...

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