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Protocol Buffers Handbook

Protocol Buffers Handbook

By : Clément Jean
5 (2)
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Protocol Buffers Handbook

Protocol Buffers Handbook

5 (2)
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)
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Disabling field names – reserved names

Important message

For the sake of simplicity, I will be using Go for this example. If you are not familiar with this language, don’t worry. The example is small, and Go is a simple language. I am 100% confident that you can understand what’s going on.

We previously saw the need for reserved tags and how they can help with backward and forward compatibility. In this section, we will focus on the impact of the schema’s evolution on the code we are writing.

As we know, Protoc is mostly used to generate code out of proto files. This generated code is then used in our application to abstract the Protobuf encoding/decoding. While this is great, this creates some problems when the schemas evolve. Some of these problems can only be solved by going through the code manually and updating it but others are preventable.

Let’s see an example of a preventable problem. As you may recall, we now have v1, v2, and...

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