incubator-airflow/scripts/perf/dags/perf_dag_2.py

54 строки
1.6 KiB
Python

# -*- coding: utf-8 -*-
#
# 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.
"""
This dag tests performance of simple bash commands executed with Airflow.
"""
from datetime import timedelta
import airflow
from airflow.models import DAG
from airflow.operators.bash_operator import BashOperator
args = {
'owner': 'Airflow',
'start_date': airflow.utils.dates.days_ago(3),
}
dag = DAG(
dag_id='perf_dag_2', default_args=args,
schedule_interval='@daily',
dagrun_timeout=timedelta(minutes=60))
task_1 = BashOperator(
task_id='perf_task_1',
bash_command='sleep 5; echo "run_id={{ run_id }} | dag_run={{ dag_run }}"',
dag=dag)
for i in range(2, 5):
task = BashOperator(
task_id='perf_task_{}'.format(i),
bash_command='''
sleep 5; echo "run_id={{ run_id }} | dag_run={{ dag_run }}"
''',
dag=dag)
task.set_upstream(task_1)
if __name__ == "__main__":
dag.cli()