CONTRIBUTING.md
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- 難易度
- 2/5
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- 1〜3時間
- 初心者へのやさしさ
- 25/100
- issue の種類
- ドキュメント
- 明瞭さ
- 説明が足りない
- 活発さ
- 停滞
- 技術スタック
- git, github, python
調査の方向性
提案されているCONTRIBUTING.mdの内容を、リポジトリに既存のコントリビューター向けガイダンスおよびプロジェクト設定と照らし合わせて確認します。文書化されているPoetry、pytest、Black、Git、GitHubのワークフローが、示されているコマンドとパスに一致していることを確認し、そのうえで、完成したCONTRIBUTING.mdがコントリビューターに正確なセットアップ、テスト、フォーマット、sign-offの手順を示していることを確認します。
索引モデルが issue の本文から書いたものです。
説明
Contributing Guide
We happily welcome contributions to the databricks-sql-connector package. We use GitHub Issues to track community reported issues and GitHub Pull Requests for accepting changes.
Contributions are licensed on a license-in/license-out basis.
Communication
Before starting work on a major feature, please reach out to us via GitHub, Slack, email, etc. We will make sure no one else is already working on it and ask you to open a GitHub issue.
A "major feature" is defined as any change that is > 100 LOC altered (not including tests), or changes any user-facing behavior.
We will use the GitHub issue to discuss the feature and come to agreement.
This is to prevent your time being wasted, as well as ours.
The GitHub review process for major features is also important so that organizations with commit access can come to agreement on design.
If it is appropriate to write a design document, the document must be hosted either in the GitHub tracking issue, or linked to from the issue and hosted in a world-readable location.
Specifically, if the goal is to add a new extension, please read the extension policy.
Small patches and bug fixes don't need prior communication.
Coding Style
We follow PEP 8 with one exception: lines can be up to 100 characters in length, not 79.
Sign your work
The sign-off is a simple line at the end of the explanation for the patch. Your signature certifies that you wrote the patch or otherwise have the right to pass it on as an open-source patch. The rules are pretty simple: if you can certify the below (from developercertificate.org):
Developer Certificate of Origin
Version 1.1
Copyright (C) 2004, 2006 The Linux Foundation and its contributors.
1 Letterman Drive
Suite D4700
San Francisco, CA, 94129
Everyone is permitted to copy and distribute verbatim copies of this
license document, but changing it is not allowed.
Developer's Certificate of Origin 1.1
By making a contribution to this project, I certify that:
(a) The contribution was created in whole or in part by me and I
have the right to submit it under the open source license
indicated in the file; or
(b) The contribution is based upon previous work that, to the best
of my knowledge, is covered under an appropriate open source
license and I have the right under that license to submit that
work with modifications, whether created in whole or in part
by me, under the same open source license (unless I am
permitted to submit under a different license), as indicated
in the file; or
(c) The contribution was provided directly to me by some other
person who certified (a), (b) or (c) and I have not modified
it.
(d) I understand and agree that this project and the contribution
are public and that a record of the contribution (including all
personal information I submit with it, including my sign-off) is
maintained indefinitely and may be redistributed consistent with
this project or the open source license(s) involved.
Then you just add a line to every git commit message:
Signed-off-by: Joe Smith <joe.smith@email.com>
Use your real name (sorry, no pseudonyms or anonymous contributions.)
If you set your user.name and user.email git configs, you can sign your commit automatically with git commit -s.
Set up your environment
This project uses Poetry for dependency management, tests, and linting.
- Clone this respository
- Run
poetry install
Run tests
We use Pytest as our test runner. Invoke it with poetry run python -m pytest, all other arguments are passed directly to pytest.
Unit tests
Unit tests do not require a Databricks account.
poetry run python -m pytest tests/unit
Only a specific test file
poetry run python -m pytest tests/unit/tests.py
Only a specific method
poetry run python -m pytest tests/unit/tests.py::ClientTestSuite::test_closing_connection_closes_commands
e2e Tests
End-to-end tests require a Databricks account. Before you can run them, you must set connection details for a Databricks SQL endpoint in your environment:
export host=""
export http_path=""
export access_token=""
export catalog=""
export schema=""
Or you can write these into a file called test.env in the root of the repository:
host="****.cloud.databricks.com"
http_path="/sql/1.0/warehouses/***"
access_token="dapi***"
staging_ingestion_user="***@example.com"
To see logging output from pytest while running tests, set log_cli = "true" under tool.pytest.ini_options in pyproject.toml. You can also set log_cli_level to any of the default Python log levels: DEBUG, INFO, WARNING, ERROR, CRITICAL
There are several e2e test suites available:
PySQLCoreTestSuitePySQLLargeQueriesSuitePySQLStagingIngestionTestSuitePySQLRetryTestSuite.HTTP503Suite[not documented]PySQLRetryTestSuite.HTTP429Suite[not documented]PySQLUnityCatalogTestSuite[not documented]
To execute the core test suite:
poetry run python -m pytest tests/e2e/driver_tests.py::PySQLCoreTestSuite
The PySQLCoreTestSuite namespace contains tests for all of the connector's basic features and behaviours. This is the default namespace where tests should be written unless they require specially configured clusters or take an especially long-time to execute by design.
The PySQLLargeQueriesSuite namespace contains long-running query tests and is kept separate. In general, if the PySQLCoreTestSuite passes then these tests will as well.
The PySQLStagingIngestionTestSuite namespace requires a cluster running DBR version > 12.x which supports staging ingestion commands.
The suites marked [not documented] require additional configuration which will be documented at a later time.
Code formatting
This project uses Black.
poetry run python3 -m black src --check
Remove the --check flag to write reformatted files to disk.
To simplify reviews you can format your changes in a separate commit.
Change a pinned dependency version
Modify the dependency specification (syntax can be found here) in pyproject.toml and run one of the following in your terminal:
poetry updaterm poetry.lock && poetry install
Sometimes poetry update can freeze or run forever. Deleting the poetry.lock file and calling poetry install is guaranteed to update everything but is usually slower than poetry update if poetry update works at all.
- 主要言語
- Python
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- フォーク
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- マージ済み PR(30日)
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コントリビューションガイド
はじめの一歩
- issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
- 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
- リポジトリをフォークし、ブランチを切って変更します。
- issue 番号を参照したプルリクエストを送ります。
databricks/databricks-sql-python のほかの issue
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難易度 2/5 1〜3時間 初心者へのやさしさ 78/100
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