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Airflow Example DAG
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| """ | |
| Python test code for airflow investigations | |
| """ | |
| from airflow import DAG | |
| from airflow.operators import PythonOperator | |
| from datetime import datetime, timedelta | |
| from modules import print_date, boto_workout, spark_test | |
| default_args = { | |
| 'owner': 'airflow', | |
| 'depends_on_past': False, | |
| 'start_date': datetime(2016, 4, 11, 13, 20, 00), | |
| 'email': ['[email protected]'], | |
| 'email_on_failure': False, | |
| 'email_on_retry': False, | |
| 'retries': 1, | |
| 'retry_delay': timedelta(minutes=5), | |
| # 'queue': 'bash_queue', | |
| # 'pool': 'backfill', | |
| # 'priority_weight': 10, | |
| # 'end_date': datetime(2016, 1, 1), | |
| } | |
| my_dag = DAG( | |
| 'python_test_dag', default_args=default_args, | |
| schedule_interval='*/5 * * * *') | |
| task_print_date = PythonOperator( | |
| task_id='print_date', | |
| python_callable=print_date.main, | |
| op_kwargs={'string': 'hello'}, | |
| dag=my_dag | |
| ) | |
| task_receive_xcom = PythonOperator( | |
| task_id='receive_xcom', | |
| python_callable=print_date.receive_xcom, | |
| provide_context=True, | |
| dag=my_dag | |
| ) | |
| task_boto_workout = PythonOperator( | |
| task_id='boto_workout', | |
| python_callable=boto_workout.main, | |
| dag=my_dag | |
| ) | |
| task_spark_test = PythonOperator( | |
| task_id='spark_test', | |
| python_callable=spark_test.spark_word_count, | |
| dag=my_dag | |
| ) | |
| task_boto_workout.set_upstream(task_print_date) | |
| task_receive_xcom.set_upstream(task_print_date) | |
| task_spark_test.set_upstream(task_receive_xcom) | |
| task_spark_test.set_upstream(task_boto_workout) |
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