Using a secret key in Amazon Secrets Manager for an Apache Airflow Snowflake connection

In your command prompt, navigate to the directory where your DAG code is stored. For example:

cd dags

Copy the contents of the following code sample and save locally as snowflake_connection.py.

"""
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
 
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
from airflow import DAG
from airflow.providers.snowflake.operators.snowflake import SnowflakeOperator
from airflow.utils.dates import days_ago

snowflake_query = [
    """use warehouse "MY_WAREHOUSE";""",
    """select * from "SNOWFLAKE_SAMPLE_DATA"."WEATHER"."WEATHER_14_TOTAL" limit 100;""",
]

with DAG(dag_id='snowflake_test', schedule_interval=None, catchup=False, start_date=days_ago(1)) as dag:
    snowflake_select = SnowflakeOperator(
        task_id="snowflake_select",
        sql=snowflake_query,
        snowflake_conn_id="snowflake_conn",
    )