DAG: tutorial A simple tutorial DAG

schedule: 1 day, 0:00:00


DAG details


schedule_interval 1 day, 0:00:00
start_date None
end_date None
max_active_runs 0 / 16
concurrency 16
default_args {'owner': 'airflow', 'depends_on_past': False, 'start_date': datetime.datetime(2025, 6, 22, 0, 0, tzinfo=<TimezoneInfo [UTC, GMT, +00:00:00, STD]>), 'email': ['airflow@example.com'], 'email_on_failure': False, 'email_on_retry': False, 'retries': 1, 'retry_delay': datetime.timedelta(seconds=300)}
tasks count 3
task ids ['print_date', 'sleep', 'templated']
filepath /data/dev/miniconda/lib/python3.7/site-packages/airflow/example_dags/tutorial.py
owner airflow