

**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
ARG_TASK_REGEX,
            ARG_START_DATE,
            ARG_END_DATE,
            ARG_SUBDIR,
            ARG_UPSTREAM,
            ARG_DOWNSTREAM,
            ARG_YES,
            ARG_ONLY_FAILED,
            ARG_ONLY_RUNNING,
            ARG_EXCLUDE_SUBDAGS,
            ARG_EXCLUDE_PARENTDAG,
            ARG_DAG_REGEX,
        ),
    ),
    ActionCommand(
        name='state',
        help="Get the status of a task instance",
        func=lazy_load_command('airflow.cli.commands.task_command.task_state'),
        args=(ARG_DAG_ID, ARG_TASK_ID, ARG_EXECUTION_DATE, ARG_SUBDIR, ARG_VERBOSE),
    ),
    ActionCommand(
        name='failed-deps',
        help="Returns the unmet dependencies for a task instance",
        description=(
            "Returns the unmet dependencies for a task instance from the perspective of the scheduler. "
            "In other words, why a task instance doesn't get scheduled and then queued by the scheduler, "
            "and then run by an executor."
        ),
        func=lazy_load_command('airflow.cli.commands.task_command.task_failed_deps'),
        args=(ARG_DAG_ID, ARG_TASK_ID, ARG_EXECUTION_DATE, ARG_SUBDIR),