### 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)

tis_to_flush = [ti for ti in tis if not ti.queued_by_job_id]
        scheduler_job_ids = {ti.queued_by_job_id for ti in tis}
        pod_ids = {ti.key: ti for ti in tis if ti.queued_by_job_id}
        kube_client: client.CoreV1Api = self.kube_client
        for scheduler_job_id in scheduler_job_ids:
            scheduler_job_id = pod_generator.make_safe_label_value(str(scheduler_job_id))
            
            
            
            
            
            query_kwargs = {
                "field_selector": "status.phase!=Succeeded",
                "label_selector": (
                    "kubernetes_executor=True,"
                    f"airflow-worker={scheduler_job_id},{POD_EXECUTOR_DONE_KEY}!=True"
                ),
            }
            pod_list = self._list_pods(query_kwargs)
            for pod in pod_list:
                self.adopt_launched_task(kube_client, pod, pod_ids)
        self._adopt_completed_pods(kube_client)
        tis_to_flush.extend(pod_ids.values())
        return tis_to_flush
    def adopt_launched_task(