### Apache Airflow version

main (development)

### What happened

_list_pods function uses kube list_namespaced_pod and list_pod_for_all_namespaces kube functions. Right now, these Kube functions will get the entire pod spec though we are interested in the pod metadata alone. This _list_pods is refered in clear_not_launched_queued_tasks. try_adopt_task_instances and _adopt_completed_pods functions.

When we run the airflow at large scale (with worker pods of more than > 500). The _list_pods function takes a significant amount of time (upto 15 - 30 seconds with 500 worker pods) due to unnecessary data transfer (V1PodList up to a few 10 MBs) and JSON deserialization overhead. This is blocking us from scaling the airflow to run at large scale

### What you think should happen instead

Request the Pod metadata instead of entire Pod payload. It will help to reduce significant network data transfer and JSON deserialization overhead.

### How to reproduce

I have reproduced the performance issue while running 500 concurrent jobs. Monitor  kubernetes_executor.clear_not_launched_queued_tasks.duration and kubernetes_executor.adopt_task_instances.duration metrics.

### Operating System

CentOS 6

### Versions of Apache Airflow Providers

apache-airflow-providers-cncf-kubernetes

### Deployment

Other Docker-based deployment

### Deployment details

Terraform based airflow deployment

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

from airflow.exceptions import AirflowException
from airflow.models.taskinstancekey import TaskInstanceKey
from airflow.operators.bash import BashOperator
from airflow.operators.empty import EmptyOperator
from airflow.utils import timezone
from airflow.utils.state import State, TaskInstanceState
from tests.test_utils.config import conf_vars
try:
    from airflow.providers.cncf.kubernetes import pod_generator
    from airflow.providers.cncf.kubernetes.executors.kubernetes_executor import (
        KubernetesExecutor,
        PodReconciliationError,
    )
    from airflow.providers.cncf.kubernetes.executors.kubernetes_executor_types import POD_EXECUTOR_DONE_KEY
    from airflow.providers.cncf.kubernetes.executors.kubernetes_executor_utils import (
        AirflowKubernetesScheduler,
        KubernetesJobWatcher,
        ResourceVersion,
        create_pod_id,
        get_base_pod_from_template,
    )
    from airflow.providers.cncf.kubernetes.kubernetes_helper_functions import (
        annotations_for_logging_task_metadata,
        annotations_to_key,
        get_logs_task_metadata,
    )
    from airflow.providers.cncf.kubernetes.pod_generator import PodGenerator
except ImportError:
    AirflowKubernetesScheduler = None  
class TestAirflowKubernetesScheduler: