See Good First Issues.
Create an issue with this form.
Generally we follow the Conventional Commits for pull request titles, since we will squash and merge the PR and use the PR title as the first line of commit message.
For example, here are good PR titles:
- feat(java): support xxx feature
- fix(c++): blablabla
- chore(python): remove useless yyy file
If the submitted PR affects the performance of Apache Fory™, we strongly recommend using the perf type, and need to provide benchmark data in the PR description. For how to run the benchmark, please check Apache Fory™ Java Benchmark.
For more details, please check pr-lint.yml.
For full requirements, see AI Contribution Policy.
Key points:
- AI tools are allowed as assistants, but contributors remain fully responsible for all submitted changes.
- AI-assisted code must be reviewed carefully line by line before submission, and contributors must be able to explain and defend it during review.
- For substantial AI assistance, contributors must complete a self-review first, then repeat a two-reviewer AI review loop until both reviewers report no further actionable comments, and include the final clean review screenshots in the PR disclosure.
- For substantial AI assistance, provide privacy-safe disclosure in the PR using the AI Contribution Checklist template. Minor/narrow AI assistance does not require full disclosure.
- Include adequate human verification evidence (for example exact build/lint/test commands and pass/fail outcomes), and add/update tests and specs where required.
- For protocol/type-mapping/wire-format or performance-sensitive changes, provide the required compatibility/performance validation evidence.
- Ensure licensing and provenance compliance with ASF Generative Tooling Guidance and do not submit content with uncertain provenance.
For environmental requirements, please check DEVELOPMENT.md.
cd python
pytest -v -s .cd java
mvn -T10 clean testbazel test $(bazel query //...)cd go/fory
go test -v ./...
go test -v fory_xlang_test.gocd rust
cargo test
# run test with specific test file and method
cargo test -p tests --test $test_file $test_method
# run specific test under subdirectory
cargo test --test mod $dir$::$test_file::$test_method
# debug specific test under subdirectory and get backtrace
RUST_BACKTRACE=1 FORY_PANIC_ON_ERROR=1 cargo test --test mod $dir$::$test_file::$test_methodcd javascript
npm run testRun all checks: bash ci/format.sh --all.
docker run --rm -v $(pwd):/github/workspace ghcr.io/korandoru/hawkeye-native:v3 formatcd java
# code format
mvn spotless:apply
# code format check
mvn spotless:check
mvn checkstyle:checkcd python
# install dependencies for formatting
pip install ruff
# format python code
ruff formatpip install clang-format==18.1.8
git ls-files -- '*.cc' '*.h' | xargs -P 5 clang-format -icd go/fory
gofmt -s -w .cd rust
cargo fmt --all
# lint
cargo clippy --workspace --all-features --all-targets -- -D warningscd javascript
npm run lintApache Fory™ supports dump jit generated code into local file for better debug by configuring environment variables:
FORY_CODE_DIR:The directory for fory to dump generated code. Set to empty by default to skip dump code.ENABLE_FORY_GENERATED_CLASS_UNIQUE_ID: Append an unique id for dynamically generated files by default to avoid serializer collision for different classes with same name. Set this tofalseto keep serializer name same for multiple execution orAOTcodegen.
By using those environment variables, we can generate code to source directory and debug the generated code in next run.
cd python
python setup.py develop- Use
cython --cplus -a pyfory/serialization.pyxto produce an annotated HTML file of the source code. Then you can analyze interaction between Python objects and Python's C API. - Read more: https://cython.readthedocs.io/en/latest/src/userguide/debugging.html
FORY_DEBUG=true python setup.py build_ext --inplace
# For linux
cygdb buildSee the Debugging C++ doc.
Enable core dump on Macos Monterey 12.1:
/usr/libexec/PlistBuddy -c "Add :com.apple.security.get-task-allow bool true" tmp.entitlements
codesign -s - -f --entitlements tmp.entitlements /Users/chaokunyang/anaconda3/envs/py3.8/bin/python
ulimit -c unlimitedthen run the code:
python fory_serializer.py
ls -al /cores# Dtrace
sudo dtrace -x ustackframes=100 -n 'profile-99 /pid == 73485 && arg1/ { @[ustack()] = count(); } tick-60s { exit(0); }' -o out.stack
sudo stackcollapse.pl out.stack > out.folded
sudo flamegraph.pl out.folded > out.svgbazel run :refresh_compile_commandsApache Fory™ Java development is based on Java 11+, and different modules are built with different Java versions.
For example, the fory-core module is built with Java 8, and the fory-format module is built with Java 11.
To use Jetbrains IDEA IDE for Java Development, you need to configure the project SDK and module SDK to using JDK 11+.
And due to the usage of sun.misc.Unsafe API, which is not visible in Java 11+, you need to configure java compiler with --releaese option disabled.
Apache Fory™'s website consists of static pages hosted at https://github.com/apache/fory-site.
All updates about docs under guide and benchmarks will be synced to the site repo automatically.
If you want write a blog, or update other contents about the website, please submit PR to the site repo.
For more information, please refer to Development Guide.
