airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- When a DAG Viewer tries to trigger a DAG, the action fails with 403
- Return destination GCS URIs from ADLSToGCSOperator
- Implement execution_timeout semantics for DbtCloudRunJobOperator in deferrable mode
- Avoid large tuple IN query in SchedulerJobRunner._activate_referenced_assets on PostgreSQL (performance / perceived hanging)
- When a Viewer/Author tries to reparse a DAG, the UI shows generic failed to reparse error
- Decouple deadline reference types from core in task SDK
- DbtCloudRunJobOperator does not enforce execution_timeout semantics in Deferrable mode
- Add three-level `run_on_latest_version` configuration hierarchy
- I am upgrading from Airflow 2.11.0 to Airflow 3.1.6 and noticed a change in behavior regarding the `ExternalTaskMarker`
- Kubernetes best practices and Helm support for API server rollout restarts
- Docs
- Python not yet supported