I stumbled upon a post from 2010 mentioning using CExtensions to improve python protobuf serialization times: https://groups.google.com/g/protobuf/c/z7E80KYJscc/m/ysCjHHmoraUJ where the author states "~13x speedups" as a result of "Python code with PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp actually also *searches for the symbols for any pre-generated C++ code in the current process*, and uses them if available instead of DynamicMessage." when using a CExtension. I can find reference code on github <https://github.com/CampagneLaboratory/goby3/blob/9cd384a0b4afa5c85e70ba5a6b14ed6066d0a7de/python/setup.py#L30> that uses this technique, and references a corresponding speedup, however I do notice that all code using this approach is ~10 years old. Is this approach still beneficial in any way to improve serialization performance in python? Or would protobuf 3.19+ with PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp result in equally performant serialization when serializing in Python3? Thanks - Daniel
-- You received this message because you are subscribed to the Google Groups "Protocol Buffers" group. To unsubscribe from this group and stop receiving emails from it, send an email to protobuf+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/protobuf/a2161dc5-e384-4a9d-a414-0dd045524034n%40googlegroups.com.
