airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- Manual run with same execution date as scheduled run causes the scheduled run to be skipped.
- SparkKubernetesOperator reattach_on_restart logic doesn't working
- Automatically expand log line groups
- Remove the ability to set parallelism to infinity in Airflow V3
- Scheduler unable to process large number of orphan Datasets
- `id` of sentinel values not preserved by `partial_subset`
- The Celery Worker Pods terminated and lost task logs when scale down happened during HPA autoscaling
- DAG Overview Last Run, Next Run are confusing/wrong, also the next Run ID and Run date on the DAG run details are confusing/wrong
- Using `MappedOperator` creates `Triggered DAG` incorrectly
- Cannot delete DAG with many runs
- Docs
- Python not yet supported