Book Image

Effective Concurrency in Go

By : Burak Serdar
Book Image

Effective Concurrency in Go

By: Burak Serdar

Overview of this book

The Go language has been gaining momentum due to its treatment of concurrency as a core language feature, making concurrent programming more accessible than ever. However, concurrency is still an inherently difficult skill to master, since it requires the development of the right mindset to decompose problems into concurrent components correctly. This book will guide you in deepening your understanding of concurrency and show you how to make the most of its advantages. You’ll start by learning what guarantees are offered by the language when running concurrent programs. Through multiple examples, you will see how to use this information to develop concurrent algorithms that run without data races and complete successfully. You’ll also find out all you need to know about multiple common concurrency patterns, such as worker pools, asynchronous pipelines, fan-in/fan-out, scheduling periodic or future tasks, and error and panic handling in goroutines. The central theme of this book is to give you, the developer, an understanding of why concurrent programs behave the way they do, and how they can be used to build correct programs that work the same way in all platforms. By the time you finish the final chapter, you’ll be able to develop, analyze, and troubleshoot concurrent algorithms written in Go.
Table of Contents (13 chapters)

Concurrency and parallelism

There was probably a time when concurrency and parallelism meant the same thing in computer science. That time is long gone now. Many people will tell you what concurrency is not: “concurrency is not parallelism,” but when it comes to telling what concurrency is, a simple definition is usually elusive. Different definitions of concurrency give different aspects of the concept because concurrency is not how the real world works. The real world works with parallelism. I will try to summarize some of the core ideas behind concurrency, hoping you can understand the abstract nature of it well enough so that you can apply it to solve practical problems.

Many things around us act independently at the same time. There are probably people around you minding their own business, and sometimes, they interact with you and with each other. All these things happen in parallel, so parallelism is the natural way of thinking about multiple independent things...