### 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)

:param java_class: the main class of the Java application
    :param packages: Comma-separated list of maven coordinates of jars to include on the
                     driver and executor classpaths. (templated)
    :param exclude_packages: Comma-separated list of maven coordinates of jars to exclude
                             while resolving the dependencies provided in 'packages' (templated)
    :param repositories: Comma-separated list of additional remote repositories to search
                         for the maven coordinates given with 'packages'
    :param total_executor_cores: (Standalone & Mesos only) Total cores for all executors
                                 (Default: all the available cores on the worker)
    :param executor_cores: (Standalone & YARN only) Number of cores per executor (Default: 2)
    :param executor_memory: Memory per executor (e.g. 1000M, 2G) (Default: 1G)
    :param driver_memory: Memory allocated to the driver (e.g. 1000M, 2G) (Default: 1G)
    :param keytab: Full path to the file that contains the keytab (templated)
    :param principal: The name of the kerberos principal used for keytab (templated)
    :param proxy_user: User to impersonate when submitting the application (templated)
    :param name: Name of the job (default airflow-spark). (templated)
    :param num_executors: Number of executors to launch
    :param status_poll_interval: Seconds to wait between polls of driver status in cluster
        mode (Default: 1)
    :param application_args: Arguments for the application being submitted (templated)
    :param env_vars: Environment variables for spark-submit. It supports yarn and k8s mode too. (templated)
    :param verbose: Whether to pass the verbose flag to spark-submit process for debugging
    :param spark_binary: The command to use for spark submit.
                         Some distros may use spark2-submit or spark3-submit.
    :param properties_file: Path to a file from which to load extra properties. If not
                              specified, this will look for conf/spark-defaults.conf.
    :param use_krb5ccache: if True, configure spark to use ticket cache instead of relying
                           on keytab for Kerberos login
    """
    template_fields: Sequence[str] = (