Marquez integration with Airflow
Project description
marquez-airflow
A library that integrates Airflow DAGs with Marquez for automatic metadata collection.
Status
This library is under active development at The We Company.
Requirements
Installation
$ pip install marquez-airflow
To install from source run:
$ python setup.py install
Usage
Once the library is installed in your system, your current DAGs need to be modified slightly by changing the import of airflow.models.DAG
to marquez.airflow.DAG
, see example below:
from marquez_airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
DAG_NAME = 'my_DAG_name'
default_args = {
'marquez_location': 'github://data-dags/dag_location/',
'marquez_input_urns': ["s3://some_data", "s3://more_data"],
'marquez_output_urns': ["s3://output_data"],
'owner': ...,
'depends_on_past': False,
'start_date': ...,
}
dag = DAG(DAG_NAME, schedule_interval='*/10 * * * *',
default_args=default_args, description="yet another DAG")
run_this = DummyOperator(task_id='run_this', dag=dag)
run_this_too = DummyOperator(task_id='run_this_too', dag=dag)
run_this_too.set_upstream(run_this)
Contributing
See CONTRIBUTING.md for more details about how to contribute.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
marquez-airflow-0.1.6.tar.gz
(4.2 kB
view hashes)