proto description of the data structure you Protocol buffers are theįlexible, efficient, automated solution to solve exactly this problem. Instead of these options, you can use protocol buffers. Navigating simple fields in a class normally would be. However, XML is notoriously space intensive, andĮncoding/decoding it can impose a huge performance penalty on applications.Īlso, navigating an XML DOM tree is considerably more complicated than This can be a good choice if you want to share data with otherĪpplications/projects. (sort of) human readable and there are binding libraries for lots of This approach can be very attractive since XML is Parsing code, and the parsing imposes a small run-time cost. This is a simple andįlexible approach, although it does require writing one-off encoding and String – such as encoding 4 ints as “12:3:-23:67”. You can invent an ad-hoc way to encode the data items into a single.Work very well if you need to share data with applications written in C++ or
Language, but it doesn’t deal well with schema evolution, and also doesn’t This is the default approach since it’s built into the How do you serialize and retrieve structured data like this? There are a few The address book has a name, an ID, an email address, and a contact phone The example we’re going to use is a very simple “address book” application thatĬan read and write people’s contact details to and from a file. This isn’t a comprehensive guide to using protocol buffers in Python. Use the Python protocol buffer API to write and read messages.By walking through creating a simple example application, it This tutorial provides a basic Python programmer’s introduction to working with
This tutorial provides a basic Python programmers introduction to working with protocol buffers.
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