DAG: tutorial A simple tutorial DAG

schedule: 1 day, 0:00:00


DAG details

None 18

schedule_interval 1 day, 0:00:00
max_active_runs 0 / 16
concurrency 16
default_args {'retries': 1, 'email_on_failure': False, 'email_on_retry': False, 'retry_delay': datetime.timedelta(0, 300), 'owner': 'airflow', 'depends_on_past': False, 'start_date': datetime.datetime(2025, 4, 29, 0, 0), 'email': ['airflow@airflow.com']}
tasks count 3
task ids ['sleep', 'print_date', 'templated']
filepath example_dags/tutorial.py
owner airflow