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@KevinYang21
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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