Book Image

.Go Programming Blueprints - Second Edition

By : Mat Ryer
Book Image

.Go Programming Blueprints - Second Edition

By: Mat Ryer

Overview of this book

Go is the language of the Internet age, and the latest version of Go comes with major architectural changes. Implementation of the language, runtime, and libraries has changed significantly. The compiler and runtime are now written entirely in Go. The garbage collector is now concurrent and provides dramatically lower pause times by running in parallel with other Go routines when possible. This book will show you how to leverage all the latest features and much more. This book shows you how to build powerful systems and drops you into real-world situations. You will learn to develop high quality command-line tools that utilize the powerful shell capabilities and perform well using Go's in-built concurrency mechanisms. Scale, performance, and high availability lie at the heart of our projects, and the lessons learned throughout this book will arm you with everything you need to build world-class solutions. You will get a feel for app deployment using Docker and Google App Engine. Each project could form the basis of a start-up, which means they are directly applicable to modern software markets.
Table of Contents (13 chapters)

Endpoints with dynamic paths


Pattern matching for the http package in the Go standard library isn't the most comprehensive and fully featured implementation out there. For example, Ruby on Rails makes it much easier to have dynamic segments inside the path. You could map the route like this:

"auth/:action/:provider_name" 

Rails then provides a data map (or dictionary) containing the values that it automatically extracted from the matched path. So if you visit auth/login/google, then params[:provider_name] would equal google and params[:action] would equal login.

The most the http package lets us specify by default is a path prefix, which we can make use of by leaving a trailing slash at the end of the pattern:

"auth/" 

We would then have to manually parse the remaining segments to extract the appropriate data. This is acceptable for relatively simple cases. This suits our needs for the time being since we only need to handle a few different paths, such as the following:

  • /auth/login/google

  • ...