airflow-ha
Monitor health with Apache Airflow and branch to stop or retrigger a DAG.
HighAvailabilityOperator runs a Python check returning (Result, Action).
Health and recovery are separate: a failed result can retrigger the DAG while
its current run follows a failure branch. Time limits stop monitoring, and
maxretrigger bounds recovery attempts while preserving the health result.
Documentation
- Tutorial: run a DAG that retriggers itself builds a countdown with three runs.
- How-to guides cover service monitoring, alerts, Python and airflow-config, and stop boundaries.
- API reference defines results, branches, limits, callbacks, task models, and run configuration.
- Why health results and recovery actions are separate explains retries, retriggers, and workload ownership.
Published documentation is available at airflow-laminar.github.io/airflow-ha.
Related integrations
airflow-supervisor and airflow-nomad use this sensor inside external workload lifecycles and add log forwarding and diagnostics. airflow-pydantic provides declarative task models; airflow-config loads those models from YAML.
License
Apache 2.0. See LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for airflow-ha 1.6.7
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| File | Size | Uploaded | Provenance | Actions |
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| airflow_ha-1.6.7.tar.gz | 15.8 kB | Without provenance | Details for airflow_ha-1.6.7.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| airflow_ha-1.6.7-py3-none-any.whl | Python 3 | none | any | Details for airflow_ha-1.6.7-py3-none-any.whl |
Total release size: 33.3 kB
Release files / airflow_ha-1.6.7.tar.gz
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| Tags | Python 3 |
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