karoldob opened a new issue, #26354:
URL: https://github.com/apache/airflow/issues/26354
### Apache Airflow version
2.3.4
### What happened
I am using KubernetesPodOperator to launch pod with multiple containers.
When one container fail, Pod becomes in "Error" state, but task is "running".
### What you think should happen instead
When Pod is in Error state, task should fail or restart (?).
### How to reproduce
Simple DAG to reproduce issue - one container fails after 25s.
```
from datetime import datetime
from kubernetes.client import models as k8s
from airflow import DAG
from airflow.providers.cncf.kubernetes.operators.kubernetes_pod import
KubernetesPodOperator
containers = [
k8s.V1Container(
name="container-1",
image="ubuntu:16.04",
command=[ "/bin/bash", "-c", "--" ],
args=["while true; do sleep 30; done;"]
),
k8s.V1Container(
name="container-2",
image="ubuntu:16.04",
command=[ "/bin/bash", "-c", "--" ],
args=["while true; do sleep 30; done;"]
),
k8s.V1Container(
name="container-3-failing",
image="ubuntu:16.04",
command=[ "/bin/bash", "-c", "--" ],
args=[ 'for i in {1..5}; do sleep 5; echo "$i" ; done; exit 1']
)
]
with DAG(
dag_id='multi_containers_one_fail',
schedule_interval=None,
start_date=datetime(2021, 1, 1),
) as dag:
k = KubernetesPodOperator(
namespace="airflow-test",
name="test-pod",
task_id="task",
is_delete_operator_pod=True,
full_pod_spec=k8s.V1Pod(spec=k8s.V1PodSpec(containers=containers))
)
k
```
### Operating System
Debian GNU/Linux 11 (bullseye)
### Versions of Apache Airflow Providers
apache-airflow-providers-cncf-kubernetes==4.3.0
apache-airflow-providers-celery==3.0.0
### Deployment
Official Apache Airflow Helm Chart
### Deployment details
I am using CeleryExecutor
### Anything else
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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