airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- Tasks remain in queued state for ~950s despite available worker capacity and no resource bottlenecks
- Add support for Papermill using https
- Conditional Dataset(Asset) Updates Are Grouped Together Instead of Creating Distinct DAG Runs
- Need to log hostname as metadata, not just for celery
- Triggers of a task instance that belongs to a deactivated / paused dag is running
- Remove postgres subcharts from Airflow Helm Charts
- Asset event scheduling - introduce max_asset_events parameter
- Default parameter can create a new version of DAG after every run
- Grouped Issue: Asset Scheduling behavior changes based on DAG performance settings (and it shouldn't)
- 'airflow tasks tests' for mapped tasks with dependencies
- Docs
- Python not yet supported