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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

Concepts

Design Patterns

Author (1):

Mario Castro Contreras

Table of Contents (17) Chapters

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

Barrier concurrency pattern

We are going to start with the Barrier pattern. Its purpose is simple--put up a barrier so that nobody passes until we have all the results we need, something quite common in concurrent applications.

Description

Imagine the situation where we have a microservices application where one service needs to compose its response by merging the responses of another three microservices. This is where the Barrier pattern can help us.

Our Barrier pattern could be a service that will block its response until it has been composed with the results returned by one or more different Goroutines (or services). And what kind of primitive do we have that has a blocking nature? Well, we can use a lock, but it's more idiomatic in Go to use an unbuffered channel.

Objectives

As its name implies, the Barrier pattern tries to stop an execution so it doesn't finish before it's ready to finish. The Barrier pattern's objectives are as follows:

Compose the value of a type with the data coming from...

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Authors (1)

Mario Castro Contreras

Mario Castro Contreras is a software engineer who has specialized in distributed systems and big data solutions. He works as a site reliability engineer, and now he is focused on containerized solutions and apps using most of Google Cloud suite, especially Kubernetes. He has broad experience in systems and solutions integration, and he has written many scalable and reliable 12-factor apps using Go and Docker. He has designed Big Data architectures for financial services and media, and he has written data processing pipelines using event-driven architectures written purely in Go. He is also very active in the open source community, and you can find him on his GitHub account with the username sayden. In the past, he has also written mobile applications and back ends in Java. Mario is passionate about programming languages, and he found the best balance between fun and productivity in Go; however, recently he has enjoyed writing in Rust and embedded systems in C. He is also passionate about road cycling and winter sports.

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