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.
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()
Similar to Snowflake, rather than importing GoogleSheets or GoogleDrive, import the relevant create function.
from spswarehouse_airflow.googlesheets import create_sheets from spswarehouse_airflow.googledrive import create_drive from spswarehouse_airflow.googleslides import create_slides
GoogleSheets = create_sheets() GoogleDrive = create_drive() GoogleSlides = create_slides()
Default service account e-mail to share your files with is
If you are not using
google_cloud_default as the connection name for where you are storing the credentials, pass the conn_id to the create function. E.g.,
GoogleSheets = create_sheets(custom_conn_id)
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Hashes for spswarehouse_airflow-0.0.4.tar.gz