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
)
ARG_SHIP_DAG = Arg(
    ("--ship-dag",), help="Pickles (serializes) the DAG and ships it to the worker", action="store_true"
)
ARG_PICKLE = Arg(("-p", "--pickle"), help="Serialized pickle object of the entire dag (used internally)")
ARG_ERROR_FILE = Arg(("--error-file",), help="File to store task failure error")
ARG_JOB_ID = Arg(("-j", "--job-id"), help=argparse.SUPPRESS)
ARG_CFG_PATH = Arg(("--cfg-path",), help="Path to config file to use instead of airflow.cfg")
ARG_MIGRATION_TIMEOUT = Arg(
    ("-t", "--migration-wait-timeout"),
    help="timeout to wait for db to migrate ",
    type=int,
    default=0,
)
ARG_PORT = Arg(
    ("-p", "--port"),
    default=conf.get('webserver', 'WEB_SERVER_PORT'),
    type=int,
    help="The port on which to run the server",
)
ARG_SSL_CERT = Arg(
    ("--ssl-cert",),
    default=conf.get('webserver', 'WEB_SERVER_SSL_CERT'),
    help="Path to the SSL certificate for the webserver",
)
ARG_SSL_KEY = Arg(
    ("--ssl-key",),
    default=conf.get('webserver', 'WEB_SERVER_SSL_KEY'),
    help="Path to the key to use with the SSL certificate",
)