Created
August 2, 2018 13:45
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airflow_python_xcom_sample.py
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""" | |
Code that goes along with the Airflow located at: | |
http://airflow.readthedocs.org/en/latest/tutorial.html | |
""" | |
from airflow import DAG | |
from airflow.operators.python_operator import PythonOperator | |
from datetime import datetime, timedelta | |
import logging | |
default_args = { | |
"owner": "airflow", | |
"depends_on_past": False, | |
"start_date": datetime.today(), | |
"email": ["airflow@airflow.com"], | |
"email_on_failure": False, | |
"email_on_retry": False, | |
# "retries": 0, | |
# "retry_delay": timedelta(minutes=5), | |
# 'queue': 'default_queue', | |
# 'pool': 'backfill', | |
# 'priority_weight': 10, | |
# 'end_date': datetime(2016, 1, 1), | |
} | |
dag = DAG( | |
"filter_even_numbers", | |
default_args=default_args, | |
catchup=False, | |
schedule_interval=timedelta(hours=15) | |
) | |
def fetch_input(**kwargs): | |
return list(range(100) | |
def filter_even(task_instance, **kwargs): | |
numbers = task_instance.xcom_pull(task_ids='fetch_input') | |
logging.debug(f'input numbers: {numbers}') | |
return list(filter(lambda x: x % 2 == 0, numbers)) | |
t1 = PythonOperator( | |
task_id='fetch_input', | |
python_callable=fetch_input, | |
provide_context=True, | |
op_kwargs={}, | |
dag=dag | |
) | |
t2 = PythonOperator( | |
task_id='filter_even', | |
python_callable=filter_even, | |
provide_context=True, | |
op_kwargs={}, | |
dag=dag | |
) | |
t2.set_upstream(t1) |
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