Using Amazon MWAA with Amazon RDS for Microsoft SQL Server - Amazon Managed Workflows for Apache Airflow
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Using Amazon MWAA with Amazon RDS for Microsoft SQL Server

You can use Amazon Managed Workflows for Apache Airflow to connect to an RDS for SQL Server. The following sample code uses DAGs on an Amazon Managed Workflows for Apache Airflow environment to connect to and execute queries on an Amazon RDS for Microsoft SQL Server.


  • The sample code on this page can be used with Apache Airflow v1 in Python 3.7.

  • You can use the code example on this page with Apache Airflow v2 and above in Python 3.10.


To use the sample code on this page, you'll need the following:

  • An Amazon MWAA environment.

  • Amazon MWAA and the RDS for SQL Server are running in the same Amazon VPC/

  • VPC security groups of Amazon MWAA and the server are configured with the following connections:

    • An inbound rule for the port 1433 open for Amazon RDS in Amazon MWAA's security group

    • Or an outbound rule for the port of 1433 open from Amazon MWAA to RDS

  • Apache Airflow Connection for RDS for SQL Server reflects the hostname, port, username and password from the Amazon RDS SQL server database created in previous process.


To use the sample code in this section, add the following dependency to your requirements.txt. To learn more, see Installing Python dependencies

Apache Airflow v2
apache-airflow-providers-microsoft-mssql==1.0.1 apache-airflow-providers-odbc==1.0.1 pymssql==2.2.1
Apache Airflow v1

Apache Airflow v2 connection

If you're using a connection in Apache Airflow v2, ensure the Airflow connection object includes the following key-value pairs:

  1. Conn Id: mssql_default

  2. Conn Type: Amazon Web Services

  3. Host: YOUR_DB_HOST

  4. Schema:

  5. Login: admin

  6. Password:

  7. Port: 1433

  8. Extra:

Code sample

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

    cd dags
  2. Copy the contents of the following code sample and save locally as

    """ Copyright, 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. """ import pymssql import logging import sys from airflow import DAG from datetime import datetime from airflow.operators.mssql_operator import MsSqlOperator from airflow.operators.python_operator import PythonOperator default_args = { 'owner': 'aws', 'depends_on_past': False, 'start_date': datetime(2019, 2, 20), 'provide_context': True } dag = DAG( 'mssql_conn_example', default_args=default_args, schedule_interval=None) drop_db = MsSqlOperator( task_id="drop_db", sql="DROP DATABASE IF EXISTS testdb;", mssql_conn_id="mssql_default", autocommit=True, dag=dag ) create_db = MsSqlOperator( task_id="create_db", sql="create database testdb;", mssql_conn_id="mssql_default", autocommit=True, dag=dag ) create_table = MsSqlOperator( task_id="create_table", sql="CREATE TABLE (name VARCHAR(20), owner VARCHAR(20));", mssql_conn_id="mssql_default", autocommit=True, dag=dag ) insert_into_table = MsSqlOperator( task_id="insert_into_table", sql="INSERT INTO VALUES ('Olaf', 'Disney');", mssql_conn_id="mssql_default", autocommit=True, dag=dag ) def select_pet(**kwargs): try: conn = pymssql.connect( server='sampledb.<xxxxxx>.<region>', user='admin', password='<yoursupersecretpassword>', database='testdb' ) # Create a cursor from the connection cursor = conn.cursor() cursor.execute("SELECT * from") row = cursor.fetchone() if row: print(row) except: logging.error("Error when creating pymssql database connection: %s", sys.exc_info()[0]) select_query = PythonOperator( task_id='select_query', python_callable=select_pet, dag=dag, ) drop_db >> create_db >> create_table >> insert_into_table >> select_query

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