incubator-airflow
https://github.com/apache/incubator-airflow
Python
Apache Airflow (Incubating)
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- Issues
- `airflow tasks run` cli creates a kubernetesJobWatcher when running task with CeleryKubernetesExecutor
- Airflow scheduler and worker memory spikes when a dag is run with large run config
- Tasks get stuck in a running state sometimes despite having exectuation_timeout and retries set when running locally via airflow standalone
- Do not use the `app.request.state` as a place to store things in fastapi
- Unexpected skipped state and stopped processing of the DAG
- TI history missing after Scheduler restart during K8s 429 error
- Datasets should have allowed_states parameter
- Add sensor and trigger nodes to dag dependencies graph
- FileTaskHandler has set_context but, it is no longer used.
- Azure Virtual Machines Operator
- Docs
- Python not yet supported