Book Image

Protocol Buffers Handbook

By : Clément Jean
Book Image

Protocol Buffers Handbook

By: Clément Jean

Overview of this book

Explore how Protocol Buffers (Protobuf) serialize structured data and provides a language-neutral, platform-neutral, and extensible solution. With this guide to mastering Protobuf, you'll build your skills to effectively serialize, transmit, and manage data across diverse platforms and languages. This book will help you enter the world of Protocol Buffers by unraveling the intricate nuances of Protobuf syntax and showing you how to define complex data structures. As you progress, you’ll learn schema evolution, ensuring seamless compatibility as your projects evolve. The book also covers advanced topics such as custom options and plugins, allowing you to tailor validation processes to your specific requirements. You’ll understand how to automate project builds using cutting-edge tools such as Buf and Bazel, streamlining your development workflow. With hands-on projects in Go and Python programming, you’ll learn how to practically apply Protobuf concepts. Later chapters will show you how to integrate data interchange capabilities across different programming languages, enabling efficient collaboration and system interoperability. By the end of this book, you’ll have a solid understanding of Protobuf internals, enabling you to discern when and how to use and redefine your approach to data serialization.
Table of Contents (13 chapters)

Technical requirements

All the code that you will see in this chapter can be found in the directory called chapter7 in the GitHub repository (https://github.com/PacktPublishing/Protocol-Buffers-Handbook).

Disclaimer

This chapter will focus on the Go implementation of an address book. This is in no way a Go tutorial, so if you are not familiar with the language and do not want to go through this, you can find a Python implementation in the next chapter. However, I would still encourage you to skim through this chapter to be able to analyze the difference between the generated Go code and the Python code. You will see that Protobuf generates idiomatic code, and some concepts have different feels in different languages.