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)

Quiz

Answer the following questions to test your knowledge of this chapter:

  1. Which encoding algorithm outputs a variable number of bytes depending on the value encoded?
    1. ZigZag
    2. Varint
    3. Length-delimited
  2. Which encoding algorithm turns negative numbers into positive ones?
    1. Length-delimited
    2. varint
    3. ZigZag
  3. What might be a problem with using varint?
    1. It can use more bytes than the original 32- and 64-bit integers
    2. It will encode negative numbers into 10 bytes
    3. All the above
  4. What might be a problem with using ZigZag?
    1. It is less efficient at encoding positive numbers than varint
    2. It will encode negative numbers into 10 bytes
    3. It can use more bytes than the original 32- and 64-bit integers
  5. When should you consider using fixed-sized integers?
    1. Never, always prefer using varints
    2. When dealing with larger numbers which will be encoded a more than 4 or 8 bytes
    3. When dealing with negative numbers
  6. What is the difference between unpacked and packed repeated fields?
    1. Unpacked has overhead in terms of...