### 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)

TaskInstance.dag_id == ti.dag_id,
                TaskInstance.task_id == ti.task_id,
                TaskInstance.run_id == ti.run_id,
                TaskInstance.map_index == ti.map_index,
            ).update({TaskInstance.state: TaskInstanceState.SCHEDULED})
    def start(self) -> None:
        """Starts the executor."""
        self.log.info("Start Kubernetes executor")
        self.scheduler_job_id = str(self.job_id)
        self.log.debug("Start with scheduler_job_id: %s", self.scheduler_job_id)
        self.kube_client = get_kube_client()
        self.kube_scheduler = AirflowKubernetesScheduler(
            kube_config=self.kube_config,
            result_queue=self.result_queue,
            kube_client=self.kube_client,
            scheduler_job_id=self.scheduler_job_id,
        )
        self.event_scheduler = EventScheduler()
        self.event_scheduler.call_regular_interval(
            self.kube_config.worker_pods_pending_timeout_check_interval,
            self._check_worker_pods_pending_timeout,
        )
        self.event_scheduler.call_regular_interval(
            self.kube_config.worker_pods_queued_check_interval,
            self.clear_not_launched_queued_tasks,
        )
        
        
        self.clear_not_launched_queued_tasks()
    def execute_async(