def task_sensor():
"""
TODO 샘플 예제 잘 작동 안함..
DAG가 동일 파일에 두개 있으면, DAG두개 생성됨
각각의 dag가 다른 dag를 참조 할수 있음
"""
with makeDag("task_marker_test") as parent_dag:
parent_task = ExternalTaskMarker(
task_id="parent_task",
external_dag_id="task_sensor_test",
external_task_id="child_task1",
)
with makeDag("task_sensor_test") as child_dag:
child_task1 = ExternalTaskSensor(
task_id="child_task1",
external_dag_id=parent_dag.dag_id,
external_task_id=parent_task.task_id,
timeout=600,
allowed_states=['success'],
failed_states=['failed', 'skipped'],
mode="reschedule",
)
child_task2 = DummyOperator(task_id="child_task2")
child_task1 >> child_task2
def dag_bag_multiple():
"""
Create a DagBag containing two DAGs, linked by multiple ExternalTaskMarker.
"""
dag_bag = DagBag(dag_folder=DEV_NULL, include_examples=False)
daily_dag = DAG("daily_dag",
start_date=DEFAULT_DATE,
schedule_interval="@daily")
agg_dag = DAG("agg_dag",
start_date=DEFAULT_DATE,
schedule_interval="@daily")
dag_bag.bag_dag(dag=daily_dag, root_dag=daily_dag)
dag_bag.bag_dag(dag=agg_dag, root_dag=agg_dag)
daily_task = DummyOperator(task_id="daily_tas", dag=daily_dag)
start = DummyOperator(task_id="start", dag=agg_dag)
for i in range(25):
task = ExternalTaskMarker(
task_id=f"{daily_task.task_id}_{i}",
external_dag_id=daily_dag.dag_id,
external_task_id=daily_task.task_id,
execution_date="{{ macros.ds_add(ds, -1 * %s) }}" % i,
dag=agg_dag,
)
start >> task
yield dag_bag
def dag_bag_cyclic():
"""
Create a DagBag with DAGs having cyclic dependencies set up by ExternalTaskMarker and
ExternalTaskSensor.
dag_0: task_a_0 >> task_b_0
^ |
| |
dag_1: | ---> task_a_1 >> task_b_1
| |
---------------------------------
"""
dag_bag = DagBag(dag_folder=DEV_NULL, include_examples=False)
dag_0 = DAG("dag_0", start_date=DEFAULT_DATE, schedule_interval=None)
task_a_0 = DummyOperator(task_id="task_a_0", dag=dag_0)
task_b_0 = ExternalTaskMarker(task_id="task_b_0",
external_dag_id="dag_1",
external_task_id="task_a_1",
recursion_depth=3,
dag=dag_0)
task_a_0 >> task_b_0
dag_1 = DAG("dag_1", start_date=DEFAULT_DATE, schedule_interval=None)
task_a_1 = ExternalTaskSensor(task_id="task_a_1",
external_dag_id=dag_0.dag_id,
external_task_id=task_b_0.task_id,
dag=dag_1)
task_b_1 = ExternalTaskMarker(task_id="task_b_1",
external_dag_id="dag_0",
external_task_id="task_a_0",
recursion_depth=2,
dag=dag_1)
task_a_1 >> task_b_1
for dag in [dag_0, dag_1]:
dag_bag.bag_dag(dag=dag, root_dag=dag)
return dag_bag
def test_serialized_external_task_marker(self):
dag = DAG('test_serialized_external_task_marker',
start_date=DEFAULT_DATE)
task = ExternalTaskMarker(
task_id="parent_task",
external_dag_id="external_task_marker_child",
external_task_id="child_task1",
dag=dag,
)
serialized_op = SerializedBaseOperator.serialize_operator(task)
deserialized_op = SerializedBaseOperator.deserialize_operator(
serialized_op)
assert deserialized_op.task_type == 'ExternalTaskMarker'
assert getattr(deserialized_op,
'external_dag_id') == 'external_task_marker_child'
assert getattr(deserialized_op, 'external_task_id') == 'child_task1'
def dag_bag_head_tail():
"""
Create a DagBag containing one DAG, with task "head" depending on task "tail" of the
previous execution_date.
20200501 20200502 20200510
+------+ +------+ +------+
| head | -->head | --> -->head |
| | | / | | | / / | | |
| v | / | v | / / | v |
| body | / | body | / ... / | body |
| | |/ | | |/ / | | |
| v / | v / / | v |
| tail/| | tail/| / | tail |
+------+ +------+ +------+
"""
dag_bag = DagBag(dag_folder=DEV_NULL, include_examples=False)
with DAG("head_tail", start_date=DEFAULT_DATE,
schedule_interval="@daily") as dag:
head = ExternalTaskSensor(
task_id='head',
external_dag_id=dag.dag_id,
external_task_id="tail",
execution_delta=timedelta(days=1),
mode="reschedule",
)
body = DummyOperator(task_id="body")
tail = ExternalTaskMarker(
task_id="tail",
external_dag_id=dag.dag_id,
external_task_id=head.task_id,
execution_date="{{ tomorrow_ds_nodash }}",
)
head >> body >> tail
dag_bag.bag_dag(dag=dag, root_dag=dag)
yield dag_bag
import datetime
from airflow import DAG
from airflow.operators.dummy import DummyOperator
from airflow.sensors.external_task import ExternalTaskMarker, ExternalTaskSensor
start_date = datetime.datetime(2015, 1, 1)
with DAG(dag_id='external_task_marker_parent',
start_date=start_date,
schedule_interval=None,
tags=['tms_practice']) as parent_dag:
parent_task = ExternalTaskMarker(
task_id="parent_task",
external_dag_id="external_task_marker_child",
external_tax_id="child_task1",
)
with DAG(
dag_id="external_task_marker_child",
start_date=start_date,
schedule_interval=None,
tags=['tms_practice'],
) as child_dag:
child_task1 = ExternalTaskSensor(
task_id="child_task1",
external_dag_id=parent_dag.dag_id,
external_task_id=parent_task.task_id,
timeout=600,
allowed_states=['success'],
def dag_bag_ext():
"""
Create a DagBag with DAGs looking like this. The dotted lines represent external dependencies
set up using ExternalTaskMarker and ExternalTaskSensor.
dag_0: task_a_0 >> task_b_0
|
|
dag_1: ---> task_a_1 >> task_b_1
|
|
dag_2: ---> task_a_2 >> task_b_2
|
|
dag_3: ---> task_a_3 >> task_b_3
"""
dag_bag = DagBag(dag_folder=DEV_NULL, include_examples=False)
dag_0 = DAG("dag_0", start_date=DEFAULT_DATE, schedule_interval=None)
task_a_0 = DummyOperator(task_id="task_a_0", dag=dag_0)
task_b_0 = ExternalTaskMarker(task_id="task_b_0",
external_dag_id="dag_1",
external_task_id="task_a_1",
recursion_depth=3,
dag=dag_0)
task_a_0 >> task_b_0
dag_1 = DAG("dag_1", start_date=DEFAULT_DATE, schedule_interval=None)
task_a_1 = ExternalTaskSensor(task_id="task_a_1",
external_dag_id=dag_0.dag_id,
external_task_id=task_b_0.task_id,
dag=dag_1)
task_b_1 = ExternalTaskMarker(task_id="task_b_1",
external_dag_id="dag_2",
external_task_id="task_a_2",
recursion_depth=2,
dag=dag_1)
task_a_1 >> task_b_1
dag_2 = DAG("dag_2", start_date=DEFAULT_DATE, schedule_interval=None)
task_a_2 = ExternalTaskSensor(task_id="task_a_2",
external_dag_id=dag_1.dag_id,
external_task_id=task_b_1.task_id,
dag=dag_2)
task_b_2 = ExternalTaskMarker(task_id="task_b_2",
external_dag_id="dag_3",
external_task_id="task_a_3",
recursion_depth=1,
dag=dag_2)
task_a_2 >> task_b_2
dag_3 = DAG("dag_3", start_date=DEFAULT_DATE, schedule_interval=None)
task_a_3 = ExternalTaskSensor(task_id="task_a_3",
external_dag_id=dag_2.dag_id,
external_task_id=task_b_2.task_id,
dag=dag_3)
task_b_3 = DummyOperator(task_id="task_b_3", dag=dag_3)
task_a_3 >> task_b_3
for dag in [dag_0, dag_1, dag_2, dag_3]:
dag_bag.bag_dag(dag=dag, root_dag=dag)
return dag_bag
def test_serialized_fields(self):
self.assertTrue({"recursion_depth"}.issubset(
ExternalTaskMarker.get_serialized_fields()))
from airflow_utils import set_dag_id
with DAG(dag_id=set_dag_id(__file__) + '-parent',
start_date=days_ago(1),
schedule_interval="@daily") as parent_dag:
start = DummyOperator(task_id='start')
do_something = BashOperator(task_id='do_something',
bash_command="sleep 10s")
# Use Task Marker in case to clear child task if this task is cleared
end = ExternalTaskMarker(
task_id="end",
external_dag_id="dag-dependency-child",
external_task_id="child_task1",
)
start >> do_something >> end
with DAG(dag_id=set_dag_id(__file__) + '-child',
start_date=days_ago(1),
schedule_interval="@daily") as child_dag:
child_task1 = ExternalTaskSensor(
task_id="child_task1",
external_dag_id=parent_dag.dag_id,
external_task_id=end.task_id,
timeout=600,
allowed_states=['success'],