airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- Current XCom __getitem__ behavior is confusing in task mapping context
- Showing DAGs in folder like structure
- Track SparkSubmitHook Yarn Cluster application with Yarn CLI
- Rename DagRun queue state to avoid confusion with TaskInstance
- Add DAG "Skipped" status in case of "startDate" in the future while manually triggering a DAGRun
- ability to assign permissions to role by DAGs' Owner (additional to DAGs' name)
- Get datetime template values in the user-configured timezone
- Allowing the Airflow Scheduler to use a custom appless security manager
- K8sPodOperator also shows log from created pod
- when trying to mark downstream tasks as failed in the UI tasks are instead cleared and reran
- Docs
- Python not yet supported