Grant McKenzie created AIRFLOW-6893:
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Summary: Per dag worker image selection
Key: AIRFLOW-6893
URL: https://issues.apache.org/jira/browse/AIRFLOW-6893
Project: Apache Airflow
Issue Type: New Feature
Components: executor-kubernetes
Affects Versions: 1.10.9
Reporter: Grant McKenzie
Assignee: Daniel Imberman
Hi,
one of the challenges of a multi-tenant deployment of Airflow is that different
teams might require different versions of common python libraries - pandas,
numpy for example.
Configuration of the worker image in the KubernetesExecutor is static via
airflow.cfg.
Has any consideration been given to allowing specification of a per-Dag worker
image that would allow different teams on a shared Airflow instance to
customize the set of dependencies available to them?
Thanks.
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