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Use Apache Airflow with Teradata Vantage

Overview​

This quickstart demonstrates how to use airflow with Teradata Vantage. Airflow will be installed on a Ubuntu System.

Prerequisites​

  • Ubuntu 22.x
  • Access to a Teradata Vantage instance.
    Hinweis

    If you need a test instance of Vantage, you can provision one for free at https://clearscape.teradata.com

  • Python 3.8, 3.9, 3.10 or 3.11 installed.
  • pip

Install Apache Airflow​

  1. Set the AIRFLOW_HOME environment variable. Airflow requires a home directory and uses ~/airflow by default, but you can set a different location if you prefer. The AIRFLOW_HOME environment variable is used to inform Airflow of the desired location.

  2. Install apache-airflow stable version 2.8.2 from PyPI repository:

  3. Install the Airflow Teradata provider stable version from PyPI repository:

    Hinweis

    For security reasons, the test connection functionality is disabled by default across Airflow UI, API and CLI. The availability of the functionality can be controlled by the test_connection flag in the core section of the Airflow configuration ($AIRFLOW_HOME/airflow.cfg) or define below environment variable before starting airflow server:

Start Airflow Standalone​

  1. Run Airflow Standalone
  2. Access the Airflow UI. Visit https://localhost:8080 in the browser and log in with the admin account details shown in the terminal.

Teradata Connections may be defined in Airflow in the following ways:

  1. Using Airflow Web UI
  2. Using Environment Variable

Define a Teradata connection in Airflow Web UI​

  1. Open the Admin -> Connections section of the UI. Click the Create link to create a new connection. Airflow admin dropdown

  2. Fill in input details in New Connection Page. Airflow New Connection

    • Connection Id: Unique ID of Teradata Connection.
    • Connection Type: Type of the system. Select Teradata.
    • Database Server URL (required): Teradata instance hostname to connect to.
    • Database (optional): Specify the name of the database to connect to
    • Login (required): Specify the user name to connect.
    • Password (required): Specify the password to connect.
    • Click on Test and Save.

Define a Teradata connection in Environment Variable​

Airflow connections may be defined in environment variables in either of one below formats.

  1. JSON format

  2. URI format

    Hinweis

    The naming convention is AIRFLOW_CONN_CONN_ID, all uppercase (note the single underscores surrounding CONN). So if your connection id is teradata_conn_id then the variable name should be AIRFLOW_CONN_TERADATA_CONN_ID

JSON format example​

URI format example​

Refer Teradata Hook for detailed information on Teradata Connection in Airflow.

Define a DAG in Airflow​

Create a DAG as a python file like sample.py under DAG_FOLDER - $AIRFLOW_HOME/files/dags directory.

Load DAG​

Airflow loads DAGs from Python source files, which it looks for inside its configured DAG_FOLDER - $AIRFLOW_HOME/files/dags directory.

Run DAG​

DAGs will run in one of two ways:

  1. When they are triggered either manually or via the API
  2. On a defined schedule, which is defined as part of the DAG example_teradata_operator is defined to trigger as manually. To define a schedule, any valid crontab schedule value can be passed to the schedule argument.

Summary​

This quickstart demonstrated how to use Airflow and the Airflow Teradata provider with a Teradata Vantage instance. The example DAG provided creates my_users table in the Teradata Vantage instance defined in Connection UI.

Further reading​

Hinweis

If you have any questions or need further assistance, please visit our community forum where you can get support and interact with other community members.

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