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  • Protocol Buffer Basics

    Reference:https://developers.google.com/protocol-buffers/docs/overview

    What are protocol buffers?

    Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data – think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format.

    Why not just use XML?

    How do you serialize and retrieve structured data like this? There are a few ways to solve this problem:

    • Use Java Serialization. This is the default approach since it's built into the language, but it has a host of well-known problems (see Effective Java, by Josh Bloch pp. 213), and also doesn't work very well if you need to share data with applications written in C++ or Python.
    • You can invent an ad-hoc way to encode the data items into a single string – such as encoding 4 ints as "12:3:-23:67". This is a simple and flexible approach, although it does require writing one-off encoding and parsing code, and the parsing imposes a small run-time cost. This works best for encoding very simple data.
    • Serialize the data to XML. This approach can be very attractive since XML is (sort of) human readable and there are binding libraries for lots of languages. This can be a good choice if you want to share data with other applications/projects. However, XML is notoriously space intensive, and encoding/decoding it can impose a huge performance penalty on applications. Also, navigating an XML DOM tree is considerably more complicated than navigating simple fields in a class normally would be.

    Protocol buffers are the flexible, efficient, automated solution to solve exactly this problem. With protocol buffers, you write a .proto description of the data structure you wish to store. From that, the protocol buffer compiler creates a class that implements automatic encoding and parsing of the protocol buffer data with an efficient binary format. The generated class provides getters and setters for the fields that make up a protocol buffer and takes care of the details of reading and writing the protocol buffer as a unit. Importantly, the protocol buffer format supports the idea of extending the format over time in such a way that the code can still read data encoded with the old format.

    Protocol buffers have many advantages over XML for serializing structured data. Protocol buffers:

    • are simpler
    • are 3 to 10 times smaller
    • are 20 to 100 times faster
    • are less ambiguous
    • generate data access classes that are easier to use programmatically
    • supports the idea of extending the format over time in such a way that the code can still read data encoded with the old format

    However, protocol buffers are not always a better solution than XML – for instance, protocol buffers would not be a good way to model a text-based document with markup (e.g. HTML), since you cannot easily interleave structure with text. In addition, XML is human-readable and human-editable; protocol buffers, at least in their native format, are not. XML is also – to some extent – self-describing. A protocol buffer is only meaningful if you have the message definition (the .proto file).

    How protobuf encode mesage?

    For detailed info see :https://developers.google.com/protocol-buffers/docs/encoding

    How to use protobuf?

    see : https://developers.google.com/protocol-buffers/docs/javatutorial

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  • 原文地址:https://www.cnblogs.com/yangfengtao/p/2947155.html
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