

**Description**

We are using a 3rd party executor which has the ability to use multiple queues, however the `default_queue` is defined under the `celery` heading and is used regardless of the executor that you are using.

See: https://github.com/apache/airflow/blob/2.0.1/airflow/models/baseoperator.py#L366

It would be nice to decouple the default_queue configuration argument away from the celery section to allow other executors to utilise this functionality with less confusion.

**Are you willing to submit a PR?**

Yep! Will open a pull request shortly


**Related Issues**

Not that I'm aware of.

airflow/cli/cli_parser.py
),
    ActionCommand(
        name='trigger',
        help='Trigger a DAG run',
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_trigger'),
        args=(ARG_DAG_ID, ARG_SUBDIR, ARG_RUN_ID, ARG_CONF, ARG_EXEC_DATE),
    ),
    ActionCommand(
        name='delete',
        help="Delete all DB records related to the specified DAG",
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_delete'),
        args=(ARG_DAG_ID, ARG_YES),
    ),
    ActionCommand(
        name='show',
        help="Displays DAG's tasks with their dependencies",
        description=(
            "The --imgcat option only works in iTerm.\n"
            "\n"
            "For more information, see: https://www.iterm2.com/documentation-images.html\n"
            "\n"
            "The --save option saves the result to the indicated file.\n"
            "\n"
            "The file format is determined by the file extension. "
            "For more information about supported "
            "format, see: https://www.graphviz.org/doc/info/output.html\n"
            "\n"
            "If you want to create a PNG file then you should execute the following command:\n"
            "airflow dags show <DAG_ID> --save output.png\n"
            "\n"