本文へ移動
cccskills
無料GitHub で公開

contributing

Guides the contribution workflow for Apache Beam, including creating PRs, issue management, code review process, release cycles, and rigorous evaluation rules for high-risk core component changes. Use when contributing code, creating PRs, or modifying core Beam components.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md5.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Contributing to Apache Beam

Getting Started

Prerequisites

  • GitHub account
  • Java JDK 11 (preferred, or 8, 17, 21)
  • Latest Go 1.x
  • Docker
  • Python (any supported version for manual testing, all versions for running test suites)
  • For large contributions: signed ICLA to Apache Software Foundation

Environment Setup Options

Local Setup (automated)

./local-env-setup.sh

Docker-based Setup

./start-build-env.sh

Contribution Workflow

1. Find or Create an Issue

2. Claim the Issue

.take-issue    # Assigns issue to you
.free-issue    # Unassigns issue from you
.close-issue   # Closes the issue

3. For Large Changes

4. Make Your Changes

  • Every source file needs Apache license header
  • New dependencies must have Apache-compatible open source licenses
  • Add unit tests for your changes
  • Document public-facing APIs in a standard way (Javadoc, docstrings/pydoc).
    • Documentation should be user-friendly, informative.
    • Implementation details belong in inline code comments.
  • Use descriptive commit messages

Working on Core Components (High Risk — Heightened Scrutiny)

AGENT DIRECTIVE: modification to Core Components carries an inherently elevated risk of silent regression across distributed runners. Refer to .github/autolabeler.yml under the "core" label for the authoritative list of core component paths (including sdks/java/core, runners/core-*, model, sdks/python/apache_beam/transforms|coders, sdks/go/pkg/beam/core, FileIO, and GCS). If you are an AI agent modifying files matched by these paths, evaluate your changes with scrutiny.

5. Create Pull Request

  • Link to the issue in PR description
  • Pre-commit tests run automatically
  • If tests fail unrelated to your change, comment: retest this please

6. Code Review

  • Reviewers are auto-assigned within a few hours
  • Use R: @username to request specific reviewer
  • No response in 3 days? Email dev@beam.apache.org

Code Review Best Practices

For Authors

  • Provide context in issue and PR description
  • Avoid huge mega-changes
  • Add follow-up changes as "fixup" commits (don't squash until approved)
  • Squash fixup commits after approval

For Reviewers

  • PRs can only be merged by Beam committers
  • PRs with the core label touch foundational Beam semantics or common code paths; review with extra scrutiny for non-obvious failure modes, edge case, and performance regressions

Testing Workflows

Pre-commit Tests

Run automatically on PRs. To run locally:

./gradlew javaPreCommit      # Java
./gradlew :sdks:python:test  # Python
./gradlew :sdks:go:test      # Go

Post-commit Tests

Run after merge. Trigger phrases in PR comments start specific test suites. See trigger phrase catalog.

Formatting

Java

./gradlew spotlessApply

Python

# Uses yapf, isort, pylint
pre-commit run --all-files

CHANGES.md

./gradlew formatChanges

Release Cycle

  • Minor releases every 6 weeks
  • Check release calendar
  • Changes must be in master before release branch is cut

Stale PRs

  • PRs become stale after 60 days of author inactivity
  • Community will close stale PRs
  • Authors can reopen closed PRs

Key Resources

Communication

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Guide on how to add and propagate new metadata fields in Apache Beam's WindowedValue, extending protos, windmill persistence, and runner interfaces to avoid metadata loss.

日本語の概要は準備中です。原文の説明を表示しています。

apache/beam8,6802026年10月10日 更新

Explains core Apache Beam programming model concepts including PCollections, PTransforms, Pipelines, and Runners. Use when learning Beam fundamentals or explaining pipeline concepts.

日本語の概要は準備中です。原文の説明を表示しています。

apache/beam8,6802026年10月10日 更新

ci-cd

無料

Guides understanding and working with Apache Beam's CI/CD system using GitHub Actions. Use when debugging CI failures, understanding test workflows, or modifying CI configuration.

日本語の概要は準備中です。原文の説明を表示しています。

apache/beam8,6802026年10月10日 更新

End-to-end guide on developing new Apache Beam I/O connectors correctly, including core IO transforms, SchemaTransforms, URN proto definitions, Managed API integration, cross-language expansion service, and testing.

日本語の概要は準備中です。原文の説明を表示しています。

apache/beam8,6802026年10月10日 更新

Guides understanding and using the Gradle build system in Apache Beam. Use when building projects, understanding dependencies, or troubleshooting build issues.

日本語の概要は準備中です。原文の説明を表示しています。

apache/beam8,6802026年10月10日 更新

Guides development and usage of I/O connectors in Apache Beam. Use when working with I/O connectors, creating new connectors, or debugging data source/sink issues.

日本語の概要は準備中です。原文の説明を表示しています。

apache/beam8,6802026年10月10日 更新

apache のスキルをすべて見る

このスキルの問題を報告する