Created
August 16, 2018 00:31
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# 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. | |
from __future__ import print_function | |
from builtins import range | |
import airflow | |
from airflow.operators.python_operator import PythonOperator | |
from airflow.models import DAG | |
import time | |
from pprint import pprint | |
args = { | |
'owner': 'airflow', | |
'start_date': airflow.utils.dates.days_ago(2) | |
} | |
dag = DAG( | |
dag_id='example_python_operator', default_args=args, | |
schedule_interval=None) | |
def my_sleeping_function(random_base): | |
"""This is a function that will run within the DAG execution""" | |
time.sleep(random_base) | |
def print_context(ds, **kwargs): | |
pprint(kwargs) | |
print(ds) | |
import sys | |
pprint(sys.path) | |
return 'Whatever you return gets printed in the logs' | |
run_this = PythonOperator( | |
task_id='print_the_context', | |
provide_context=True, | |
python_callable=print_context, | |
dag=dag) | |
# Generate 10 sleeping tasks, sleeping from 0 to 9 seconds respectively | |
for i in range(10): | |
task = PythonOperator( | |
task_id='sleep_for_' + str(i), | |
python_callable=my_sleeping_function, | |
op_kwargs={'random_base': float(i) / 10}, | |
dag=dag) | |
task.set_upstream(run_this) |
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