Book Image

Test-Driven Development in Go

By : Adelina Simion
Book Image

Test-Driven Development in Go

By: Adelina Simion

Overview of this book

Experienced developers understand the importance of designing a comprehensive testing strategy to ensure efficient shipping and maintaining services in production. This book shows you how to utilize test-driven development (TDD), a widely adopted industry practice, for testing your Go apps at different levels. You’ll also explore challenges faced in testing concurrent code, and learn how to leverage generics and write fuzz tests. The book begins by teaching you how to use TDD to tackle various problems, from simple mathematical functions to web apps. You’ll then learn how to structure and run your unit tests using Go’s standard testing library, and explore two popular testing frameworks, Testify and Ginkgo. You’ll also implement test suites using table-driven testing, a popular Go technique. As you advance, you’ll write and run behavior-driven development (BDD) tests using Ginkgo and Godog. Finally, you’ll explore the tricky aspects of implementing and testing TDD in production, such as refactoring your code and testing microservices architecture with contract testing implemented with Pact. All these techniques will be demonstrated using an example REST API, as well as smaller bespoke code examples. By the end of this book, you’ll have learned how to design and implement a comprehensive testing strategy for your Go applications and microservices architecture.
Table of Contents (18 chapters)
1
Part 1: The Big Picture
6
Part 2: Integration and End-to-End Testing with TDD
11
Part 3: Advanced Testing Techniques

Part 3: Advanced Testing Techniques

The final part is dedicated to discussing the more challenging aspects of testing complex Go code, as all the tools and techniques required for testing applications are provided by the previous two sections. We begin our exploration by learning about Go concurrency mechanisms and what the concurrency untestable conditions are, including how to use Go’s race detector. Then, we revisit and expand our testing of edge cases by making use of fuzz tests and property-based testing, allowing us to test our code with a large amount of input to ensure that it is robust. Finally, we explore how to leverage Go’s recently introduced generics capability to write code that can work with different types, learn how to change table-driven tests to verify generic code, and leverage generics to create custom test utilities.

This part has the following chapters: