sushi30 commented on issue #22485:
URL: https://github.com/apache/airflow/issues/22485#issuecomment-1077514558
I am able to reproduce this with a minimal configuration helm chart on
minikube. The latest apache/airflow image is using version 3.0.2 so you need to
create a custom image with the new provider version. This DAG works fine with
3.0.2 and hangs in 3.1.1:
```python
from datetime import datetime
from airflow import DAG
from airflow.providers.cncf.kubernetes.operators.kubernetes_pod import (
KubernetesPodOperator,
)
with DAG(
dag_id="example", start_date=datetime(2022, 1, 1),
schedule_interval="@once"
) as dag:
k = KubernetesPodOperator(
namespace="airflow",
name="hello",
image="debian",
cmds=["bash", "-cx"],
arguments=["echo", "10"],
labels={"foo": "bar"},
task_id="dry_run_demo",
)
```
```docker
# Dockerfile
FROM apache/airflow
RUN pip install apache-airflow-providers-cncf-kubernetes==3.1.1
```
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