### Official Helm Chart version

1.7.0

### Apache Airflow version

2.4.0

### Kubernetes Version

K3s Kubernetes Version: v1.24.2+k3s2

### Helm Chart configuration

_No response_

### Docker Image customizations

_No response_

### What happened



Same as https://github.com/apache/airflow/issues/12229 
```
[2023-03-31T17:47:08.304+0000] {kubernetes_executor.py:112} ERROR - Unknown error in KubernetesJobWatcher. Failing
Traceback (most recent call last):
  File "/home/airflow/.local/lib/python3.10/site-packages/airflow/executors/kubernetes_executor.py", line 103, in run
    self.resource_version = self._run(
  File "/home/airflow/.local/lib/python3.10/site-packages/airflow/executors/kubernetes_executor.py", line 148, in _run
    for event in list_worker_pods():
  File "/home/airflow/.local/lib/python3.10/site-packages/kubernetes/watch/watch.py", line 182, in stream
    raise client.rest.ApiException(
kubernetes.client.exceptions.ApiException: (410)
Reason: Expired: too old resource version: 202541353 (202544371)

Process KubernetesJobWatcher-3:
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
    self.run()
  File "/home/airflow/.local/lib/python3.10/site-packages/airflow/executors/kubernetes_executor.py", line 103, in run
    self.resource_version = self._run(
  File "/home/airflow/.local/lib/python3.10/site-packages/airflow/executors/kubernetes_executor.py", line 148, in _run
    for event in list_worker_pods():
  File "/home/airflow/.local/lib/python3.10/site-packages/kubernetes/watch/watch.py", line 182, in stream
    raise client.rest.ApiException(
kubernetes.client.exceptions.ApiException: (410)
Reason: Expired: too old resource version: 202541353 (202544371)

[2023-03-31T17:47:08.832+0000] {kubernetes_executor.py:291} ERROR - Error while health checking kube watcher process. Process died for unknown reasons
```

### What you think should happen instead

no errors in the logs?

### How to reproduce

appears soon after AF-scheduler pod restart

### 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)

if ti.key in self.last_handled:
                continue
            
            base_label_selector = (
                f"dag_id={pod_generator.make_safe_label_value(ti.dag_id)},"
                f"task_id={pod_generator.make_safe_label_value(ti.task_id)},"
                f"airflow-worker={pod_generator.make_safe_label_value(str(ti.queued_by_job_id))}"
            )
            if ti.map_index >= 0:
                
                base_label_selector += f",map_index={ti.map_index}"
            kwargs = dict(label_selector=base_label_selector)
            if self.kube_config.kube_client_request_args:
                kwargs.update(**self.kube_config.kube_client_request_args)
            
            kwargs["label_selector"] += ",run_id=" + pod_generator.make_safe_label_value(ti.run_id)
            pod_list = self._list_pods(kwargs)
            if pod_list:
                continue
            
            kwargs["label_selector"] = (
                f"{base_label_selector},"
                f"execution_date={pod_generator.datetime_to_label_safe_datestring(ti.execution_date)}"
            )
            pod_list = self._list_pods(kwargs)
            if pod_list:
                continue
            self.log.info("TaskInstance: %s found in queued state but was not launched, rescheduling", ti)
            session.query(TaskInstance).filter(