[GitHub] [airflow] davidkl97 opened a new pull request, #24987: support dag_ids arguments in db cleanup utility

[GitBox <gi...@apache.org>]

davidkl97 opened a new pull request, #24987:
URL: https://github.com/apache/airflow/pull/24987

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   **closes: #24828**
   this PR adds optional `dag_id_column` to each table configuration and optional list `dag_ids` to the runtime logic to append in condition at `_build_query` func to tables whom support this column.
   
   added test regarding the dag_ids arguments and updated cli parser and commands to support the new argument.
   
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[GitHub] [airflow] davidkl97 closed pull request #24987: support dag_ids arguments in db cleanup utility

[GitBox <gi...@apache.org>]

davidkl97 closed pull request #24987: support dag_ids arguments in db cleanup utility
URL: https://github.com/apache/airflow/pull/24987


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[GitHub] [airflow] boring-cyborg[bot] commented on pull request #24987: support dag_ids arguments in db cleanup utility

[GitBox <gi...@apache.org>]

boring-cyborg[bot] commented on PR #24987:
URL: https://github.com/apache/airflow/pull/24987#issuecomment-1181366088

   Congratulations on your first Pull Request and welcome to the Apache Airflow community! If you have any issues or are unsure about any anything please check our Contribution Guide (https://github.com/apache/airflow/blob/main/CONTRIBUTING.rst)
   Here are some useful points:
   - Pay attention to the quality of your code (flake8, mypy and type annotations). Our [pre-commits]( https://github.com/apache/airflow/blob/main/STATIC_CODE_CHECKS.rst#prerequisites-for-pre-commit-hooks) will help you with that.
   - In case of a new feature add useful documentation (in docstrings or in `docs/` directory). Adding a new operator? Check this short [guide](https://github.com/apache/airflow/blob/main/docs/apache-airflow/howto/custom-operator.rst) Consider adding an example DAG that shows how users should use it.
   - Consider using [Breeze environment](https://github.com/apache/airflow/blob/main/BREEZE.rst) for testing locally, it's a heavy docker but it ships with a working Airflow and a lot of integrations.
   - Be patient and persistent. It might take some time to get a review or get the final approval from Committers.
   - Please follow [ASF Code of Conduct](https://www.apache.org/foundation/policies/conduct) for all communication including (but not limited to) comments on Pull Requests, Mailing list and Slack.
   - Be sure to read the [Airflow Coding style]( https://github.com/apache/airflow/blob/main/CONTRIBUTING.rst#coding-style-and-best-practices).
   Apache Airflow is a community-driven project and together we are making it better 🚀.
   In case of doubts contact the developers at:
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