Hello,

I changed the format of the tables a long time ago so that they could be parsed in standard Linux tools such as AWK.
https://github.com/apache/airflow/pull/8409
For example, to list the files that contain the DAG, I could run the command below.
```
airflow dags list | grep -v "dag_id" | awk '{print $2}' | sort | uniq
```
To pause all dags:
```bash
airflow dags list | awk '{print $1}' | grep -v "dag_id"| xargs airflow dags pause
```
Unfortunately [that has changed](https://github.com/apache/airflow/pull/12704) and we now have more fancy tables, but harder to use in standard Linux tools.

Alternatively, we can use JSON output, but I don't always have JQ installed on production environment, so performing administrative tasks is difficult for me.
```bash
$  docker run apache/airflow:2.0.1 bash -c "jq"

/bin/bash: jq: command not found
```

Best regards,
Kamil Breguła

CC: @turbaszek 
airflow/cli/cli_parser.py
)
DB_COMMANDS = (
    ActionCommand(
        name='init',
        help="Initialize the metadata database",
        func=lazy_load_command('airflow.cli.commands.db_command.initdb'),
        args=(),
    ),
    ActionCommand(
        name="check-migrations",
        help="Check if migration have finished",
        description="Check if migration have finished (or continually check until timeout)",
        func=lazy_load_command('airflow.cli.commands.db_command.check_migrations'),
        args=(ARG_MIGRATION_TIMEOUT,),
    ),
    ActionCommand(
        name='reset',
        help="Burn down and rebuild the metadata database",
        func=lazy_load_command('airflow.cli.commands.db_command.resetdb'),
        args=(ARG_YES,),
    ),
    ActionCommand(
        name='upgrade',
        help="Upgrade the metadata database to latest version",
        func=lazy_load_command('airflow.cli.commands.db_command.upgradedb'),
        args=(),
    ),
    ActionCommand(
        name='shell',
        help="Runs a shell to access the database",