ms32035 opened a new issue, #48667:
URL: https://github.com/apache/airflow/issues/48667
### Official Helm Chart version
1.16.0 (latest released)
### Apache Airflow version
2.10.5
### Kubernetes Version
1.31
### Helm Chart configuration
_No response_
### Docker Image customizations
_No response_
### What happened
I'm afraid that then new multiple executor configuration does not work at
all.
In when the scheduler parses the dags tasks are configured with:
```
executor='KubernetesExecutor`
```
but then when a pod is launched an environment variable is injected:
```
AIRFLOW__CORE__EXECUTOR=LocalExecutor
```
which next results in a validation error:
```
│ Traceback (most recent call last):
│
│ File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/models/dag.py", line
852, in validate_executor_field
│
│ ExecutorLoader.lookup_executor_name_by_str(task.executor)
│
│ File
"/home/airflow/.local/lib/python3.12/site-packages/airflow/executors/executor_loader.py",
line 215, in lookup_executor_name_by_str
│
│ raise UnknownExecutorException(f"Unknown executor being loaded:
{executor_name_str}")
│
│ airflow.exceptions.UnknownExecutorException: Unknown executor being
loaded: KubernetesExecutor
```
### What you think should happen instead
_No response_
### How to reproduce
Configure the chart with `CeleryExecutor,KubernetesExecutor` and run any task
### 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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