Skip to content

feat(scheduler): add INFO logging for dataset-triggered DagRun creation#63546

Draft
leossantos wants to merge 1 commit intoapache:v2-11-stablefrom
leossantos:leo-santos/addtional-scheduler-fix
Draft

feat(scheduler): add INFO logging for dataset-triggered DagRun creation#63546
leossantos wants to merge 1 commit intoapache:v2-11-stablefrom
leossantos:leo-santos/addtional-scheduler-fix

Conversation

@leossantos
Copy link

Log which DAGs are selected as dataset-triggered (with ADRQ timestamp ranges) and log successful DagRun creation with dag_id, exec_date, prev_exec, event count, and event URIs. This provides visibility into the scheduler's dataset trigger decisions for debugging premature trigger incidents.

Made-with: Cursor


Was generative AI tooling used to co-author this PR?
  • Yes (please specify the tool below)

  • Read the Pull Request Guidelines for more information. Note: commit author/co-author name and email in commits become permanently public when merged.
  • For fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
  • When adding dependency, check compliance with the ASF 3rd Party License Policy.
  • For significant user-facing changes create newsfragment: {pr_number}.significant.rst, in airflow-core/newsfragments. You can add this file in a follow-up commit after the PR is created so you know the PR number.

Log which DAGs are selected as dataset-triggered (with ADRQ timestamp
ranges) and log successful DagRun creation with dag_id, exec_date,
prev_exec, event count, and event URIs. This provides visibility into
the scheduler's dataset trigger decisions for debugging premature
trigger incidents.

Made-with: Cursor
@boring-cyborg
Copy link

boring-cyborg bot commented Mar 13, 2026

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 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 Consider adding an example DAG that shows how users should use it.
  • Consider using Breeze environment 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 for all communication including (but not limited to) comments on Pull Requests, Mailing list and Slack.
  • Be sure to read the Airflow Coding style.
  • 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
    Slack: https://s.apache.org/airflow-slack

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant