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test_cleartasks.py
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test_cleartasks.py
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#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import datetime
import pytest
from airflow import settings
from airflow.models import DAG, TaskInstance as TI, TaskReschedule, clear_task_instances
from airflow.operators.empty import EmptyOperator
from airflow.sensors.python import PythonSensor
from airflow.utils.session import create_session
from airflow.utils.state import State, TaskInstanceState
from airflow.utils.types import DagRunType
from tests.models import DEFAULT_DATE
from tests.test_utils import db
class TestClearTasks:
@pytest.fixture(autouse=True, scope="class")
def clean(self):
db.clear_db_runs()
yield
db.clear_db_runs()
def test_clear_task_instances(self, dag_maker):
with dag_maker(
'test_clear_task_instances',
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
) as dag:
task0 = EmptyOperator(task_id='0')
task1 = EmptyOperator(task_id='1', retries=2)
dr = dag_maker.create_dagrun(
state=State.RUNNING,
run_type=DagRunType.SCHEDULED,
)
ti0, ti1 = sorted(dr.task_instances, key=lambda ti: ti.task_id)
ti0.refresh_from_task(task0)
ti1.refresh_from_task(task1)
ti0.run()
ti1.run()
with create_session() as session:
# we use order_by(task_id) here because for the test DAG structure of ours
# this is equivalent to topological sort. It would not work in general case
# but it works for our case because we specifically constructed test DAGS
# in the way that those two sort methods are equivalent
qry = session.query(TI).filter(TI.dag_id == dag.dag_id).order_by(TI.task_id).all()
clear_task_instances(qry, session, dag=dag)
ti0.refresh_from_db()
ti1.refresh_from_db()
# Next try to run will be try 2
assert ti0.state is None
assert ti0.try_number == 2
assert ti0.max_tries == 1
assert ti1.state is None
assert ti1.try_number == 2
assert ti1.max_tries == 3
def test_clear_task_instances_external_executor_id(self, dag_maker):
with dag_maker(
'test_clear_task_instances_external_executor_id',
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
) as dag:
EmptyOperator(task_id='task0')
ti0 = dag_maker.create_dagrun().task_instances[0]
ti0.state = State.SUCCESS
ti0.external_executor_id = "some_external_executor_id"
with create_session() as session:
session.add(ti0)
session.commit()
# we use order_by(task_id) here because for the test DAG structure of ours
# this is equivalent to topological sort. It would not work in general case
# but it works for our case because we specifically constructed test DAGS
# in the way that those two sort methods are equivalent
qry = session.query(TI).filter(TI.dag_id == dag.dag_id).order_by(TI.task_id).all()
clear_task_instances(qry, session, dag=dag)
ti0.refresh_from_db()
assert ti0.state is None
assert ti0.external_executor_id is None
def test_clear_task_instances_next_method(self, dag_maker, session):
with dag_maker(
'test_clear_task_instances_next_method',
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
) as dag:
EmptyOperator(task_id='task0')
ti0 = dag_maker.create_dagrun().task_instances[0]
ti0.state = State.DEFERRED
ti0.next_method = "next_method"
ti0.next_kwargs = {}
session.add(ti0)
session.commit()
clear_task_instances([ti0], session, dag=dag)
ti0.refresh_from_db()
assert ti0.next_method is None
assert ti0.next_kwargs is None
@pytest.mark.parametrize(
["state", "last_scheduling"], [(State.QUEUED, None), (State.RUNNING, DEFAULT_DATE)]
)
def test_clear_task_instances_dr_state(self, state, last_scheduling, dag_maker):
"""Test that DR state is set to None after clear.
And that DR.last_scheduling_decision is handled OK.
start_date is also set to None
"""
with dag_maker(
'test_clear_task_instances',
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
) as dag:
EmptyOperator(task_id='0')
EmptyOperator(task_id='1', retries=2)
dr = dag_maker.create_dagrun(
state=State.RUNNING,
run_type=DagRunType.SCHEDULED,
)
ti0, ti1 = sorted(dr.task_instances, key=lambda ti: ti.task_id)
dr.last_scheduling_decision = DEFAULT_DATE
ti0.state = TaskInstanceState.SUCCESS
ti1.state = TaskInstanceState.SUCCESS
session = dag_maker.session
session.flush()
# we use order_by(task_id) here because for the test DAG structure of ours
# this is equivalent to topological sort. It would not work in general case
# but it works for our case because we specifically constructed test DAGS
# in the way that those two sort methods are equivalent
qry = session.query(TI).filter(TI.dag_id == dag.dag_id).order_by(TI.task_id).all()
clear_task_instances(qry, session, dag_run_state=state, dag=dag)
session.flush()
session.refresh(dr)
assert dr.state == state
assert dr.start_date is None if state == State.QUEUED else dr.start_date
assert dr.last_scheduling_decision == last_scheduling
def test_clear_task_instances_without_task(self, dag_maker):
with dag_maker(
'test_clear_task_instances_without_task',
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
) as dag:
task0 = EmptyOperator(task_id='task0')
task1 = EmptyOperator(task_id='task1', retries=2)
dr = dag_maker.create_dagrun(
state=State.RUNNING,
run_type=DagRunType.SCHEDULED,
)
ti0, ti1 = sorted(dr.task_instances, key=lambda ti: ti.task_id)
ti0.refresh_from_task(task0)
ti1.refresh_from_task(task1)
ti0.run()
ti1.run()
# Remove the task from dag.
dag.task_dict = {}
assert not dag.has_task(task0.task_id)
assert not dag.has_task(task1.task_id)
with create_session() as session:
# we use order_by(task_id) here because for the test DAG structure of ours
# this is equivalent to topological sort. It would not work in general case
# but it works for our case because we specifically constructed test DAGS
# in the way that those two sort methods are equivalent
qry = session.query(TI).filter(TI.dag_id == dag.dag_id).order_by(TI.task_id).all()
clear_task_instances(qry, session)
# When dag is None, max_tries will be maximum of original max_tries or try_number.
ti0.refresh_from_db()
ti1.refresh_from_db()
# Next try to run will be try 2
assert ti0.try_number == 2
assert ti0.max_tries == 1
assert ti1.try_number == 2
assert ti1.max_tries == 2
def test_clear_task_instances_without_dag(self, dag_maker):
with dag_maker(
'test_clear_task_instances_without_dag',
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
) as dag:
task0 = EmptyOperator(task_id='task0')
task1 = EmptyOperator(task_id='task1', retries=2)
dr = dag_maker.create_dagrun(
state=State.RUNNING,
run_type=DagRunType.SCHEDULED,
)
ti0, ti1 = sorted(dr.task_instances, key=lambda ti: ti.task_id)
ti0.refresh_from_task(task0)
ti1.refresh_from_task(task1)
ti0.run()
ti1.run()
with create_session() as session:
# we use order_by(task_id) here because for the test DAG structure of ours
# this is equivalent to topological sort. It would not work in general case
# but it works for our case because we specifically constructed test DAGS
# in the way that those two sort methods are equivalent
qry = session.query(TI).filter(TI.dag_id == dag.dag_id).order_by(TI.task_id).all()
clear_task_instances(qry, session)
# When dag is None, max_tries will be maximum of original max_tries or try_number.
ti0.refresh_from_db()
ti1.refresh_from_db()
# Next try to run will be try 2
assert ti0.try_number == 2
assert ti0.max_tries == 1
assert ti1.try_number == 2
assert ti1.max_tries == 2
def test_clear_task_instances_with_task_reschedule(self, dag_maker):
"""Test that TaskReschedules are deleted correctly when TaskInstances are cleared"""
with dag_maker(
'test_clear_task_instances_with_task_reschedule',
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
) as dag:
task0 = PythonSensor(task_id='0', python_callable=lambda: False, mode="reschedule")
task1 = PythonSensor(task_id='1', python_callable=lambda: False, mode="reschedule")
dr = dag_maker.create_dagrun(
state=State.RUNNING,
run_type=DagRunType.SCHEDULED,
)
ti0, ti1 = sorted(dr.task_instances, key=lambda ti: ti.task_id)
ti0.refresh_from_task(task0)
ti1.refresh_from_task(task1)
ti0.run()
ti1.run()
with create_session() as session:
def count_task_reschedule(task_id):
return (
session.query(TaskReschedule)
.filter(
TaskReschedule.dag_id == dag.dag_id,
TaskReschedule.task_id == task_id,
TaskReschedule.run_id == dr.run_id,
TaskReschedule.try_number == 1,
)
.count()
)
assert count_task_reschedule(ti0.task_id) == 1
assert count_task_reschedule(ti1.task_id) == 1
# we use order_by(task_id) here because for the test DAG structure of ours
# this is equivalent to topological sort. It would not work in general case
# but it works for our case because we specifically constructed test DAGS
# in the way that those two sort methods are equivalent
qry = (
session.query(TI)
.filter(TI.dag_id == dag.dag_id, TI.task_id == ti0.task_id)
.order_by(TI.task_id)
.all()
)
clear_task_instances(qry, session, dag=dag)
assert count_task_reschedule(ti0.task_id) == 0
assert count_task_reschedule(ti1.task_id) == 1
def test_dag_clear(self, dag_maker):
with dag_maker(
'test_dag_clear', start_date=DEFAULT_DATE, end_date=DEFAULT_DATE + datetime.timedelta(days=10)
) as dag:
task0 = EmptyOperator(task_id='test_dag_clear_task_0')
task1 = EmptyOperator(task_id='test_dag_clear_task_1', retries=2)
dr = dag_maker.create_dagrun(
state=State.RUNNING,
run_type=DagRunType.SCHEDULED,
)
session = dag_maker.session
ti0, ti1 = sorted(dr.task_instances, key=lambda ti: ti.task_id)
ti0.refresh_from_task(task0)
ti1.refresh_from_task(task1)
# Next try to run will be try 1
assert ti0.try_number == 1
ti0.run()
assert ti0.try_number == 2
dag.clear()
ti0.refresh_from_db()
assert ti0.try_number == 2
assert ti0.state == State.NONE
assert ti0.max_tries == 1
assert ti1.max_tries == 2
ti1.try_number = 1
session.merge(ti1)
session.commit()
# Next try will be 2
ti1.run()
assert ti1.try_number == 3
assert ti1.max_tries == 2
dag.clear()
ti0.refresh_from_db()
ti1.refresh_from_db()
# after clear dag, ti2 should show attempt 3 of 5
assert ti1.max_tries == 4
assert ti1.try_number == 3
# after clear dag, ti1 should show attempt 2 of 2
assert ti0.try_number == 2
assert ti0.max_tries == 1
def test_dags_clear(self):
# setup
session = settings.Session()
dags, tis = [], []
num_of_dags = 5
for i in range(num_of_dags):
dag = DAG(
'test_dag_clear_' + str(i),
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
)
task = EmptyOperator(task_id='test_task_clear_' + str(i), owner='test', dag=dag)
dr = dag.create_dagrun(
execution_date=DEFAULT_DATE,
state=State.RUNNING,
run_type=DagRunType.SCHEDULED,
session=session,
)
ti = dr.task_instances[0]
ti.task = task
dags.append(dag)
tis.append(ti)
# test clear all dags
for i in range(num_of_dags):
tis[i].run()
assert tis[i].state == State.SUCCESS
assert tis[i].try_number == 2
assert tis[i].max_tries == 0
DAG.clear_dags(dags)
for i in range(num_of_dags):
tis[i].refresh_from_db()
assert tis[i].state == State.NONE
assert tis[i].try_number == 2
assert tis[i].max_tries == 1
# test dry_run
for i in range(num_of_dags):
tis[i].run()
assert tis[i].state == State.SUCCESS
assert tis[i].try_number == 3
assert tis[i].max_tries == 1
DAG.clear_dags(dags, dry_run=True)
for i in range(num_of_dags):
tis[i].refresh_from_db()
assert tis[i].state == State.SUCCESS
assert tis[i].try_number == 3
assert tis[i].max_tries == 1
# test only_failed
from random import randint
failed_dag_idx = randint(0, len(tis) - 1)
tis[failed_dag_idx].state = State.FAILED
session.merge(tis[failed_dag_idx])
session.commit()
DAG.clear_dags(dags, only_failed=True)
for i in range(num_of_dags):
tis[i].refresh_from_db()
if i != failed_dag_idx:
assert tis[i].state == State.SUCCESS
assert tis[i].try_number == 3
assert tis[i].max_tries == 1
else:
assert tis[i].state == State.NONE
assert tis[i].try_number == 3
assert tis[i].max_tries == 2
def test_operator_clear(self, dag_maker):
with dag_maker(
'test_operator_clear',
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE + datetime.timedelta(days=10),
):
op1 = EmptyOperator(task_id='test1')
op2 = EmptyOperator(task_id='test2', retries=1)
op1 >> op2
dr = dag_maker.create_dagrun(
state=State.RUNNING,
run_type=DagRunType.SCHEDULED,
)
ti1, ti2 = sorted(dr.task_instances, key=lambda ti: ti.task_id)
ti1.task = op1
ti2.task = op2
ti2.run()
# Dependency not met
assert ti2.try_number == 1
assert ti2.max_tries == 1
op2.clear(upstream=True)
ti1.run()
ti2.run(ignore_ti_state=True)
assert ti1.try_number == 2
# max_tries is 0 because there is no task instance in db for ti1
# so clear won't change the max_tries.
assert ti1.max_tries == 0
assert ti2.try_number == 2
# try_number (0) + retries(1)
assert ti2.max_tries == 1