Protobuf Performance

The following benchmark test results were produced on a workstation utilizing an Intel® Xeon® Processor E5-2630 with 32GB of RAM.

This table contains the results of three separate languages:

• C++ - For C++, there are three parsing methods:
  • new - This is for using a new operator for creating a message instance.
  • new arena - This is for using arena for creating a new message instance.
  • reuse - This is for reusing the same message instance for parsing.
• Java - For Java, there are three parsing/serialization methods:
  • byte[] - This is for parsing from a Byte Array.
  • ByteString - This is for parsing from a com.google.protobuf.ByteString.
  • InputStream - This is for parsing from an InputStream.
• Python - For Python, there are three types of Python protobuf for testing:
  • C++-generated-code - This is for using C++ generated code of the proto file as a dynamic linked library.
  • C++-reflection - This is for using C++ reflection, for which there's no generated code, but still using C++ protobuf library as a dynamic linked library.
  • pure-Python - This is for the pure version of Python, which does not link with any C++ protobuf library.

Parsing performance

Serialization performance

* The cpp performance can be improved by using tcmalloc, please follow the (instruction)[https://github.com/protocolbuffers/protobuf/blob/master/benchmarks/README.md] to link with tcmalloc to get the faster result.