airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- Cache latest-DAG lookups in clear_task_instances
- Persist a sweep of Dag parse results in one pass
- UI: Mask sensitive connection extra fields in the connection form
- Airflow 3.2.0: structured task logging increases log size by 1.89× and high-volume task runtime by 2.64×
- KubernetesPodOperator durable reattach can reconnect to a different pod when the pod name is reused
- Check the pod uid on KubernetesPodOperator durable reattach
- Custom deadline references registered as TYPES.DAGRUN_QUEUED are not re-anchored when a DagRun is cleared
- A NULL column silently suppresses the deadline, and the warning blames a missing DagRun
- Bug with the advanced logging configuration documentation with remote logging and custom logging config class for airflow version 3.2.2
- Issues upgrading from Airflow 3.3.0 to 3.3.1 or 3.3.2
- Docs
- Python not yet supported