airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- Test connections via workers instead of the API server
- Fix Spark K8s driver pod tracking confusion
- Emit scheduler.executor_events_duration per executor
- Chart: Reconcile metadata DB bidirectionally on helm upgrade
- UI: Render dict/list rendered template fields as collapsible JSON
- Detect Spark driver completion by container state when tracking via k8s API
- Helm chart: support bidirectional Airflow metadata DB reconciliation on helm upgrade (downgrade as well as upgrade)
- Make RollupMapper calendar windows DST-aware
- Make required airflowctl body fields positional
- Document supported `databricks_retry_args` usage for deferrable Databricks operators
- Docs
- Python not yet supported