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Posted to commits@airflow.apache.org by "venkatamandavilli-code (via GitHub)" <gi...@apache.org> on 2026/05/12 14:50:44 UTC

[PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

venkatamandavilli-code opened a new pull request, #66774:
URL: https://github.com/apache/airflow/pull/66774

   ### Summary
   This PR adds an example DAG demonstrating a typical ERP data migration workflow using Apache Airflow.
   
   ### Details
   The DAG models a structured ETL pipeline commonly used in enterprise ERP transformations:
   - Data extraction from legacy systems
   - Data validation (completeness and accuracy checks)
   - Data transformation to target schema
   - Data loading into target system
   - Post-load reconciliation
   
   ### Use Case
   This example is intended to help users understand how Airflow can be used to orchestrate complex enterprise data migration workflows, especially in ERP environments.
   
   ### Notes
   This is a simplified illustrative example based on real-world enterprise migration patterns.


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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "potiuk (via GitHub)" <gi...@apache.org>.
potiuk commented on PR #66774:
URL: https://github.com/apache/airflow/pull/66774#issuecomment-4483646004

   @venkatamandavilli-code A few things need addressing before review — see our [Pull Request quality criteria](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria).
   
   - :x: **Pre-commit / static checks** — Failing: `Basic tests / Static checks: basic checks only`. See [docs](https://github.com/apache/airflow/blob/main/contributing-docs/08_static_code_checks.rst).
   
   > **Note:** Your branch is **146 commits behind `main`**. Please rebase and push again to get up-to-date CI results.
   
   No rush.
   
   ---
   
   _Note: This comment was drafted by an AI-assisted triage tool and may contain mistakes. Once you have addressed the points above, an Apache Airflow maintainer — a real person — will take the next look at your PR. We use this [two-stage triage process](https://github.com/apache/airflow/blob/main/contributing-docs/25_maintainer_pr_triage.md#why-the-first-pass-is-automated) so that our maintainers' limited time is spent where it matters most: the conversation with you._
   
   ---
   
   Drafted-by: Claude Code (Opus 4.7); reviewed by @potiuk before posting
   


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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "potiuk (via GitHub)" <gi...@apache.org>.
potiuk commented on PR #66774:
URL: https://github.com/apache/airflow/pull/66774#issuecomment-4529640473

   @venkatamandavilli-code A few things need addressing before review — see our [Pull Request quality criteria](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria).
   
   - :x: **CI fails**: `Basic tests / Static checks: basic checks only` (and possibly other checks — see the [Checks tab](https://github.com/apache/airflow/pull/66774/checks) for the full list).
   
   No rush.
   
   ---
   
   _Note: This comment was drafted by an AI-assisted triage tool and may contain mistakes. Once you have addressed the points above, an Apache Airflow maintainer — a real person — will take the next look at your PR. We use this [two-stage triage process](https://github.com/apache/airflow/blob/main/contributing-docs/25_maintainer_pr_triage.md#why-the-first-pass-is-automated) so that our maintainers' limited time is spent where it matters most: the conversation with you._
   
   ---
   Drafted-by: Claude Code (Opus 4.7); reviewed by @potiuk before posting
   


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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "venkatamandavilli-code (via GitHub)" <gi...@apache.org>.
venkatamandavilli-code commented on PR #66774:
URL: https://github.com/apache/airflow/pull/66774#issuecomment-4431729088

   Thank you for reviewing my contribution.
   
   Please let me know if any modifications or improvements are required. I would be happy to update the PR accordingly.


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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed pull request #66774: Add example DAG for ERP data migration pipeline (ETL workflow)
URL: https://github.com/apache/airflow/pull/66774


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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "venkatamandavilli-code (via GitHub)" <gi...@apache.org>.
venkatamandavilli-code commented on PR #66774:
URL: https://github.com/apache/airflow/pull/66774#issuecomment-4721283660

   Hi maintainers,
   
   Just following up on this PR since it is now marked ready for maintainer review.
   
   Please let me know if any further changes are needed from my side. I’m happy to update the example DAG to better align with Airflow’s examples or documentation style.
   
   Thank you.


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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "venkatamandavilli-code (via GitHub)" <gi...@apache.org>.
venkatamandavilli-code commented on PR #66774:
URL: https://github.com/apache/airflow/pull/66774#issuecomment-4492859893

   Thanks for the guidance. I’ll update the branch and review the static check failure before pushing the correction.
   
   Appreciate the feedback.
   


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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "boring-cyborg[bot] (via GitHub)" <gi...@apache.org>.
boring-cyborg[bot] commented on PR #66774:
URL: https://github.com/apache/airflow/pull/66774#issuecomment-4431716908

   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 [Contributors' Guide](https://github.com/apache/airflow/blob/main/contributing-docs/README.rst)
   Here are some useful points:
   - Pay attention to the quality of your code (ruff, mypy and type annotations). Our [prek-hooks]( https://github.com/apache/airflow/blob/main/contributing-docs/08_static_code_checks.rst#prerequisites-for-prek-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/airflow-core/docs/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/dev/breeze/doc/README.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-docs/05_pull_requests.rst#coding-style-and-best-practices).
   - Always keep your Pull Requests rebased, otherwise your build might fail due to changes not related to your commits.
   Apache Airflow is a community-driven project and together we are making it better 🚀.
   In case of doubts contact the developers at:
   Mailing List: dev@airflow.apache.org
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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "venkatamandavilli-code (via GitHub)" <gi...@apache.org>.
venkatamandavilli-code commented on PR #66774:
URL: https://github.com/apache/airflow/pull/66774#issuecomment-4592795212

   @potiuk - Could you please review and let me know if anything is needed from me.


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Re: [PR] Add example DAG for ERP data migration pipeline (ETL workflow) [airflow]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #66774:
URL: https://github.com/apache/airflow/pull/66774#issuecomment-5148613184

   This pull request has been automatically marked as stale because it has not had recent activity. It will be closed in 5 days if no further activity occurs. Thank you for your contributions.


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