Book Image

Go Design Patterns

By : Mario Castro Contreras
Book Image

Go Design Patterns

By: Mario Castro Contreras

Overview of this book

Go is a multi-paradigm programming language that has built-in facilities to create concurrent applications. Design patterns allow developers to efficiently address common problems faced during developing applications. Go Design Patterns will provide readers with a reference point to software design patterns and CSP concurrency design patterns to help them build applications in a more idiomatic, robust, and convenient way in Go. The book starts with a brief introduction to Go programming essentials and quickly moves on to explain the idea behind the creation of design patterns and how they appeared in the 90’s as a common "language" between developers to solve common tasks in object-oriented programming languages. You will then learn how to apply the 23 Gang of Four (GoF) design patterns in Go and also learn about CSP concurrency patterns, the "killer feature" in Go that has helped Google develop software to maintain thousands of servers. With all of this the book will enable you to understand and apply design patterns in an idiomatic way that will produce concise, readable, and maintainable software.
Table of Contents (17 chapters)
Go Design Patterns
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Pipeline design pattern


The third and final pattern we will see in this chapter is the Pipeline pattern. You will use this pattern heavily in your concurrent structures, and we can consider it one of the most useful too.

Description

We already know what a pipeline is. Every time that we write any function that performs some logic, we are writing a pipeline: If this then that, or else something else. Pipelines pattern can be made more complex by using a few functions that call to each other. They can even get looped in their out execution.

The Pipeline pattern in Go works in a similar fashion, but each step in the Pipeline will be in a different Goroutine and communication, and synchronizing will be done using channels.

Objectives

When creating a Pipeline, we are mainly looking for the following benefits:

  • We can create a concurrent structure of a multistep algorithm

  • We can exploit the parallelism of multicore machines by decomposing an algorithm in different Goroutines

However, just because we decompose...