airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- DagProcessor - UPDATE statement on table 'serialized_dag' expected to update 1 row(s); 0 were matched.
- Mapped tasks marked as failed on scheduler restart
- mark dag_run and ti as automatically injected
- Use FOR KEY SHARE UPDATE instead of FOR UPDATE
- KEDA Autoscaling connection string is invalid when using psycopg2
- Unable to set podspec attributes to false in `KubernetesPodOperator`
- High CPU utilisation caused by frequent updates to dag_run table
- MySqlHook bulk_load_custom() syntax errors due to escaped sql command
- Implement on_killed support for tasks during DAG run timeout
- AIRFLOW__KUBERNETES_ENVIRONMENT_VARIABLES and AIRFLOW__KUBERNETES_SECRETS not working properly
- Docs
- Python not yet supported