airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- 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
- For spark operator with `track_driver_via_k8s_api`, detect driver completion by container status rather than pod phase
- Honor [scheduler] create_cron_data_intervals when serializing cron schedules in the Go SDK
- Add asset partition sensor
- Fix missing task.duration metric for tasks that get skipped after starting.
- Docs
- Python not yet supported