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 1.6.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| airflow_ha-1.6.6.tar.gz | 15.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| airflow_ha-1.6.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.9 kB
Release files / airflow_ha-1.6.6.tar.gz
| Download URL | airflow_ha-1.6.6.tar.gz |
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| Size | 15.7 kB |
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Release files / airflow_ha-1.6.6-py3-none-any.whl
| Download URL | airflow_ha-1.6.6-py3-none-any.whl |
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| Size | 17.3 kB |
| Tags | Python 3 |
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