Versioning in Managed Service for Apache Airflow™
Available Apache Airflow™ versions
Managed Service for Apache Airflow™ supports several Apache Airflow™ versions, each available on one of several Python versions. The following version combinations are supported:
| Version Apache Airflow™ | Python version |
|---|---|
| 2.10 | 3.10 |
| 2.10 | 3.12 |
| 2.11 | 3.10 |
| 2.11 | 3.12 |
| 3.0 | 3.12 |
| 3.1 | 3.12 |
Warning
The package contents in Apache Airflow™ may vary in different versions. Some packages available in earlier versions are not included in Apache Airflow™ 3.0 and higher. If required, you can install them when creating or updating a cluster.
Version update
When updating versions in Managed Service for Apache Airflow™, you can change the following:
-
Python version to any supported one for the current Apache Airflow™ version.
-
Apache Airflow™ version to the next supported version within the same branch:
2.Xor3.X.You cannot update Apache Airflow™ from
2.Xto3.X. To update to3.X, create a new cluster and attach the old cluster's DAG storage to it.
Managed Service for Apache Airflow™ does not allow simultaneous updates of Apache Airflow™ and Python versions because user dependencies may stop working on newer Python versions.
For example, to update a cluster from Apache Airflow™ 2.8 and Python 3.8 to Apache Airflow™ 2.10 and Python 3.12:
- Update Python to
3.10and test the cluster with its dependencies. - Update Apache Airflow™ to
2.10and test the cluster after you migrate the database. - Update Python to
3.12and test the dependencies again.
Useful links
- Apache Airflow™ versioning policy
- Updating Apache Airflow™ and Python versions