Summit Public Schools Snowflake warehouse for use in Airflow
This package is a clone of
spswarehouse, adapted to be used in Airflow. Rather than using a credentials.py file, it pulls credentials from Airflow's Connections.
Currently, only the Warehouse-related functionality has been adapted. Google Drive, Google Sheets, and Google Slides are not yet supported.
The main difference in this packages is that you do not import
Warehouse directly from the package. Instead, you will import the function
create_warehouse, and then call that function to create the warehouse connection when you need it. After completing the Warehouse work, you need to manually close the Warehouse connection.
At the top of your DAG file:
from spswarehouse_airflow.warehouse import create_warehouse from spswarehouse_airflow.table_utils import *
In a function that is fed to a PythonOperator:
Warehouse = create_warehouse() <Whatever it is you need to do in the warehouse> Warehouse.close()
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