def test_check_for_stalled_adopted_tasks(self):
exec_date = timezone.utcnow() - timedelta(minutes=40)
start_date = timezone.utcnow() - timedelta(days=2)
queued_dttm = timezone.utcnow() - timedelta(minutes=30)
try_number = 1
with DAG("test_check_for_stalled_adopted_tasks") as dag:
task_1 = BaseOperator(task_id="task_1", start_date=start_date)
task_2 = BaseOperator(task_id="task_2", start_date=start_date)
key_1 = TaskInstanceKey(dag.dag_id, task_1.task_id, exec_date,
try_number)
key_2 = TaskInstanceKey(dag.dag_id, task_2.task_id, exec_date,
try_number)
executor = celery_executor.CeleryExecutor()
executor.adopted_task_timeouts = {
key_1: queued_dttm + executor.task_adoption_timeout,
key_2: queued_dttm + executor.task_adoption_timeout
}
executor.tasks = {key_1: AsyncResult("231"), key_2: AsyncResult("232")}
executor.sync()
self.assertEqual(executor.event_buffer, {
key_1: (State.FAILED, None),
key_2: (State.FAILED, None)
})
self.assertEqual(executor.tasks, {})
self.assertEqual(executor.adopted_task_timeouts, {})
def _labels_to_key(self, labels: Dict[str,
str]) -> Optional[TaskInstanceKey]:
try_num = 1
try:
try_num = int(labels.get('try_number', '1'))
except ValueError:
self.log.warning("could not get try_number as an int: %s",
labels.get('try_number', '1'))
try:
dag_id = labels['dag_id']
task_id = labels['task_id']
ex_time = self._label_safe_datestring_to_datetime(
labels['execution_date'])
except Exception as e: # pylint: disable=broad-except
self.log.warning(
'Error while retrieving labels; labels: %s; exception: %s',
labels, e)
return None
with create_session() as session:
task = (session.query(TaskInstance).filter_by(
task_id=task_id, dag_id=dag_id,
execution_date=ex_time).one_or_none())
if task:
self.log.info(
'Found matching task %s-%s (%s) with current state of %s',
task.dag_id, task.task_id, task.execution_date, task.state)
return TaskInstanceKey(dag_id, task_id, ex_time, try_num)
else:
self.log.warning(
'task_id/dag_id are not safe to use as Kubernetes labels. This can cause '
'severe performance regressions. Please see '
'<https://kubernetes.io/docs/concepts/overview/working-with-objects'
'/labels/#syntax-and-character-set>. '
'Given dag_id: %s, task_id: %s', task_id, dag_id)
tasks = (session.query(TaskInstance).filter_by(
execution_date=ex_time).all())
self.log.info('Checking %s task instances.', len(tasks))
for task in tasks:
if (pod_generator.make_safe_label_value(task.dag_id) == dag_id
and pod_generator.make_safe_label_value(task.task_id)
== task_id and task.execution_date == ex_time):
self.log.info(
'Found matching task %s-%s (%s) with current state of %s',
task.dag_id, task.task_id, task.execution_date,
task.state)
dag_id = task.dag_id
task_id = task.task_id
return TaskInstanceKey(dag_id, task_id, ex_time, try_num)
self.log.warning(
'Failed to find and match task details to a pod; labels: %s',
labels)
return None
def _annotations_to_key(self, annotations: Dict[str, str]) -> Optional[TaskInstanceKey]:
dag_id = annotations['dag_id']
task_id = annotations['task_id']
try_number = int(annotations['try_number'])
execution_date = parser.parse(annotations['execution_date'])
return TaskInstanceKey(dag_id, task_id, execution_date, try_number)
def annotations_to_key(annotations: Dict[str, str]) -> Optional[TaskInstanceKey]:
"""Build a TaskInstanceKey based on pod annotations"""
log.debug("Creating task key for annotations %s", annotations)
dag_id = annotations['dag_id']
task_id = annotations['task_id']
try_number = int(annotations['try_number'])
run_id = annotations.get('run_id')
if not run_id and 'execution_date' in annotations:
# Compat: Look up the run_id from the TI table!
from airflow.models.dagrun import DagRun
from airflow.models.taskinstance import TaskInstance
from airflow.settings import Session
execution_date = pendulum.parse(annotations['execution_date'])
# Do _not_ use create-session, we don't want to expunge
session = Session()
run_id: str = (
session.query(TaskInstance.run_id)
.join(TaskInstance.dag_run)
.filter(
TaskInstance.dag_id == dag_id,
TaskInstance.task_id == task_id,
DagRun.execution_date == execution_date,
)
.scalar()
)
return TaskInstanceKey(dag_id, task_id, run_id, try_number)
def test_get_event_buffer(self):
executor = BaseExecutor()
date = datetime.utcnow()
try_number = 1
key1 = TaskInstanceKey("my_dag1", "my_task1", date, try_number)
key2 = TaskInstanceKey("my_dag2", "my_task1", date, try_number)
key3 = TaskInstanceKey("my_dag2", "my_task2", date, try_number)
state = State.SUCCESS
executor.event_buffer[key1] = state, None
executor.event_buffer[key2] = state, None
executor.event_buffer[key3] = state, None
self.assertEqual(len(executor.get_event_buffer(("my_dag1", ))), 1)
self.assertEqual(len(executor.get_event_buffer()), 2)
self.assertEqual(len(executor.event_buffer), 0)
def _annotations_to_key(self, annotations: Dict[str, str]) -> Optional[TaskInstanceKey]:
self.log.debug("Creating task key for annotations %s", annotations)
dag_id = annotations['dag_id']
task_id = annotations['task_id']
try_number = int(annotations['try_number'])
execution_date = parser.parse(annotations['execution_date'])
return TaskInstanceKey(dag_id, task_id, execution_date, try_number)
def mock_task_fail(self, dag_id, task_id, date, try_number=1):
"""
Set the mock outcome of running this particular task instances to
FAILED.
If the task identified by the tuple ``(dag_id, task_id, date,
try_number)`` is run by this executor it's state will be FAILED.
"""
self.mock_task_results[TaskInstanceKey(dag_id, task_id, date,
try_number)] = State.FAILED
def test_try_adopt_task_instances(self):
exec_date = timezone.utcnow() - timedelta(minutes=2)
start_date = timezone.utcnow() - timedelta(days=2)
queued_dttm = timezone.utcnow() - timedelta(minutes=1)
try_number = 1
with DAG("test_try_adopt_task_instances_none") as dag:
task_1 = BaseOperator(task_id="task_1", start_date=start_date)
task_2 = BaseOperator(task_id="task_2", start_date=start_date)
ti1 = TaskInstance(task=task_1, execution_date=exec_date)
ti1.external_executor_id = '231'
ti1.queued_dttm = queued_dttm
ti2 = TaskInstance(task=task_2, execution_date=exec_date)
ti2.external_executor_id = '232'
ti2.queued_dttm = queued_dttm
tis = [ti1, ti2]
executor = celery_executor.CeleryExecutor()
self.assertEqual(executor.running, set())
self.assertEqual(executor.adopted_task_timeouts, {})
self.assertEqual(executor.tasks, {})
not_adopted_tis = executor.try_adopt_task_instances(tis)
key_1 = TaskInstanceKey(dag.dag_id, task_1.task_id, exec_date,
try_number)
key_2 = TaskInstanceKey(dag.dag_id, task_2.task_id, exec_date,
try_number)
self.assertEqual(executor.running, {key_1, key_2})
self.assertEqual(
dict(executor.adopted_task_timeouts),
{
key_1: queued_dttm + executor.task_adoption_timeout,
key_2: queued_dttm + executor.task_adoption_timeout,
},
)
self.assertEqual(executor.tasks, {
key_1: AsyncResult("231"),
key_2: AsyncResult("232")
})
self.assertEqual(not_adopted_tis, [])
def _schedule_task(self, scheduling_event: TaskSchedulingEvent):
task_key = TaskInstanceKey(scheduling_event.dag_id,
scheduling_event.task_id,
scheduling_event.execution_date,
scheduling_event.try_number)
self.executor.schedule_task(task_key, scheduling_event.action)
def _send_message(self, ti):
self.send_message(
TaskInstanceKey(ti.dag_id, ti.task_id, ti.execution_date,
ti.try_number))
