### Description

Spark-submit 
--queue thequeue option specifies the YARN queue to which the application should be submitted.


more  - https://spark.apache.org/docs/3.2.0/running-on-yarn.html

### Use case/motivation


The --queue option is particularly useful in a multi-tenant environment where different users or groups have allocated resources in specific YARN queues.

### Related issues

_No response_

### Are you willing to submit a 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)

kill_cmd = f"yarn application -kill {self._yarn_application_id}".split()
                env = {**os.environ, **(self._env or {})}
                if self._keytab is not None and self._principal is not None:
                    
                    
                    
                    renew_from_kt(self._principal, self._keytab, exit_on_fail=False)
                    env = os.environ.copy()
                    ccacche = airflow_conf.get_mandatory_value("kerberos", "ccache")
                    env["KRB5CCNAME"] = ccacche
                with subprocess.Popen(
                    kill_cmd, env=env, stdout=subprocess.PIPE, stderr=subprocess.PIPE
                ) as yarn_kill:
                    self.log.info("YARN app killed with return code: %s", yarn_kill.wait())
            if self._kubernetes_driver_pod:
                self.log.info("Killing pod %s on Kubernetes", self._kubernetes_driver_pod)
                
                try:
                    import kubernetes
                    client = kube_client.get_kube_client()
                    api_response = client.delete_namespaced_pod(
                        self._kubernetes_driver_pod,
                        self._connection["namespace"],
                        body=kubernetes.client.V1DeleteOptions(),
                        pretty=True,
                    )
                    self.log.info("Spark on K8s killed with response: %s", api_response)
                except kube_client.ApiException:
                    self.log.exception("Exception when attempting to kill Spark on K8s")