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
type=float,
    default=1.0,
)
ARG_RESET_DAG_RUN = Arg(
    ("--reset-dagruns",),
    help=(
        "if set, the backfill will delete existing "
        "backfill-related DAG runs and start "
        "anew with fresh, running DAG runs"
    ),
    action="store_true",
)
ARG_RERUN_FAILED_TASKS = Arg(
    ("--rerun-failed-tasks",),
    help=(
        "if set, the backfill will auto-rerun "
        "all the failed tasks for the backfill date range "
        "instead of throwing exceptions"
    ),
    action="store_true",
)
ARG_RUN_BACKWARDS = Arg(
    (
        "-B",
        "--run-backwards",
    ),
    help=(
        "if set, the backfill will run tasks from the most "
        "recent day first.  if there are tasks that depend_on_past "
        "this option will throw an exception"