commit | 66e3562aafce093d30473555248f22b3fdc88aad | [log] [tgz] |
---|---|---|
author | David L. Jones <dlj@google.com> | Tue Sep 22 20:46:07 2020 -0700 |
committer | GitHub <noreply@github.com> | Tue Sep 22 20:46:07 2020 -0700 |
tree | 50f68aaea1823fe690076bdfbc9b8a4a65415095 | |
parent | cae85a9f116478caea0b8b1920240b3ef8c07ae8 [diff] |
Remove uses of pkg_resources in non-namespace packages. (#7902) In #713 and #1296, the `google` package in protobuf sources was found to cause conflicts with other Google projects, because it was not properly configured as a namespace package [1]. The initial fix in 786f80f addressed part of the issue, and #1298 fixed the rest. However, 786f80f (the initial fix) also made `google.protobuf` and `google.protobuf.pyext` into namespace packages. This was not correct: they are both regular, non-namespace, sub-subpackages. However (still), the follow-up #1298 did not nominate them as namespace packages, so the namespace registration behavior has remained, but without benefit. This change removes the unnecessary namespace registration, which has substantial overhead, thus reducing startup time substantially when using protobufs. Because this change affects the import internals, quantifying the overhead requires a full tear-down/start-up of the Python interpreter. So, to capture the full cost for every run, I measured the time to launching a _fresh_ Python instance in a subprocess, varying the imports and code under test. In other words, I used `timeit` to measure the time to launch a _fresh_ Python subprocess which actually performs the imports. * Reference: normal Python startup (i.e., don't import protobuf at all). ``` % python3 -m timeit -s 'import subprocess' -r 3 -n 10 'subprocess.call(["python3", "-c", "pass"])' 10 loops, best of 3: 27.1 msec per loop ``` * Baseline: cost to import `google.protobuf.descriptor`, with extraneous namespace packages. ``` % python3 -m timeit -s 'import subprocess' -r 3 -n 10 'subprocess.call(["python3", "-c", "import google.protobuf.descriptor"])' 10 loops, best of 3: 133 msec per loop ``` * This change: cost to import `google.protobuf.descriptor`, without extraneous namespace packages. ``` % python3 -m timeit -s 'import subprocess' -r 3 -n 10 'subprocess.call(["python3", "-c", "import google.protobuf.descriptor"])' 10 loops, best of 3: 43.1 msec per loop ``` [1]: https://packaging.python.org/guides/packaging-namespace-packages/
Copyright 2008 Google Inc.
https://developers.google.com/protocol-buffers/
Protocol Buffers (a.k.a., protobuf) are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data. You can find protobuf's documentation on the Google Developers site.
This README file contains protobuf installation instructions. To install protobuf, you need to install the protocol compiler (used to compile .proto files) and the protobuf runtime for your chosen programming language.
The protocol compiler is written in C++. If you are using C++, please follow the C++ Installation Instructions to install protoc along with the C++ runtime.
For non-C++ users, the simplest way to install the protocol compiler is to download a pre-built binary from our release page:
https://github.com/protocolbuffers/protobuf/releases
In the downloads section of each release, you can find pre-built binaries in zip packages: protoc-$VERSION-$PLATFORM.zip. It contains the protoc binary as well as a set of standard .proto files distributed along with protobuf.
If you are looking for an old version that is not available in the release page, check out the maven repo here:
https://repo1.maven.org/maven2/com/google/protobuf/protoc/
These pre-built binaries are only provided for released versions. If you want to use the github master version at HEAD, or you need to modify protobuf code, or you are using C++, it's recommended to build your own protoc binary from source.
If you would like to build protoc binary from source, see the C++ Installation Instructions.
Protobuf supports several different programming languages. For each programming language, you can find instructions in the corresponding source directory about how to install protobuf runtime for that specific language:
Language | Source | Ubuntu | MacOS | Windows |
---|---|---|---|---|
C++ (include C++ runtime and protoc) | src | ![]() ![]() ![]() | ![]() ![]() | |
Java | java | ![]() ![]() ![]() ![]() | ||
Python | python | ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | ![]() ![]() ![]() | ![]() |
Objective-C | objectivec | ![]() ![]() ![]() ![]() | ||
C# | csharp | ![]() | ![]() | |
JavaScript | js | ![]() | ![]() | |
Ruby | ruby | ![]() ![]() ![]() ![]() ![]() | ![]() ![]() ![]() ![]() ![]() | |
Go | protocolbuffers/protobuf-go | |||
PHP | php | ![]() ![]() | ![]() ![]() | |
Dart | dart-lang/protobuf |
The best way to learn how to use protobuf is to follow the tutorials in our developer guide:
https://developers.google.com/protocol-buffers/docs/tutorials
If you want to learn from code examples, take a look at the examples in the examples directory.
The complete documentation for Protocol Buffers is available via the web at: