from airflow import DAG
from datetime import datetime, timedelta
from airflow.operators import MyFirstOperator, MyFirstSensor
default_arguments = {
'owner': 'airflow',
'start_date': datetime(2020, 5, 15, 0, 0, 0),
'retries': 3,
'retry_delay': timedelta(minutes=10)
}
dag = DAG(dag_id='my_first_dag',
max_active_runs=5,
schedule_interval='0 * * * *',
default_args=default_arguments,
catchup=False)
task_1 = MyFirstOperator(task_id='task_id1', param='some random text', dag=dag)
task_2 = MyFirstSensor(task_id='task_id2', poke_interval=30, dag=dag)
task_2 >> task_1 # task_2 será executando antes da task_1
from datetime import datetime
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators import MyFirstOperator, MyfirstSensor
dag = DAG('my_test_dag', description='Another tutorial DAG',
schedule_interval='0 12 * * *',
start_date=datetime(2017, 3, 20), catchup=False)
dummy_task = DummyOperator(task_id='dummy_task', dag=dag)
snsor_task - MyFirstSensor(task_id='my_sensor_task', poke_interval = 30, dag=dag)
operator_task = MyFirstOperator(my_operator_param='This is a test.',
task_id='my_first_operator_task', dag=dag)
dummy_task >> operator_task >> operator_task
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.utils import dates
from airflow.operators import MyFirstOperator
default_args = {
"owner": "airflow",
"depends_on_past": False,
"start_date": dates.days_ago(1),
}
dag = DAG('Parent_dag', default_args=default_args, schedule_interval=None)
leave_work = MyFirstOperator(
my_operator_param='leave_work...',
task_id='leave_work',
dag=dag,
)
cook_dinner = MyFirstOperator(
my_operator_param='cook_dinner!!!',
task_id='cook_dinner',
dag=dag,
)
leave_work >> cook_dinner
