andreyolv opened a new issue, #31988:
URL: https://github.com/apache/airflow/issues/31988
### Official Helm Chart version
1.9.0 (latest released)
### Apache Airflow version
1.9.0
### Kubernetes Version
1.24.7
### Helm Chart configuration
executor: KubernetesExecutor
multiNamespaceMode: true
# I am using Flux as GitOps tool
createUserJob:
useHelmHooks: false
applyCustomEnv: false
migrateDatabaseJob:
useHelmHooks: false
applyCustomEnv: false
### Docker Image customizations
_No response_
### What happened
I deploy airflow in namespace called 'airflow'.
And, when I use executor_config in tasks:
executor_config={
'KubernetesExecutor': {
'namespace': 'othernamespace',
'request_cpu': '0.5',
'request_memory': '1G'
}
}
task1 = PythonOperator(
task_id='task_1',
python_callable=task1,
executor_config=executor_config,
dag=dag
)
The task1 pod not run in namespace 'othernamespace', but in 'airflow'.
### What you think should happen instead
Task1 pod run in namespace 'othernamespace'
### How to reproduce
Values helm chart configuration edited:
```
executor: KubernetesExecutor
multiNamespaceMode: true
# I am using Flux as GitOps tool
createUserJob:
useHelmHooks: false
applyCustomEnv: false
migrateDatabaseJob:
useHelmHooks: false
applyCustomEnv: false
```
Dag code:
```
import time
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from datetime import datetime
executor_config = {
'KubernetesExecutor': {
'namespace': 'othernamespace',
'request_cpu': '0.5',
'request_memory': '1G'
}
}
# Define the DAG
dag = DAG(
'example_dag',
description='Example DAG',
schedule_interval='0 0 * * *',
start_date=datetime(2023, 6, 7),
catchup=False
)
def task1():
print("Running task 1")
time.sleep(10)
task1 = PythonOperator(
task_id='task_1',
python_callable=task1,
executor_config=executor_config,
dag=dag
)
```
### 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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