One Paragraph of project description goes here
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
import random | |
from airflow.operators.dummy_operator import DummyOperator | |
from airflow.models import DAG | |
from airflow.utils.dates import days_ago | |
with DAG( | |
"big_dag", | |
start_date=days_ago(1), | |
schedule_interval=None, |