DataStax Python driver

Before using the DataStax driver, review the Best practices for DataStax drivers to understand the rules and recommendations for improving performance and minimizing resource utilization in applications that use a DataStax driver.

If possible, upgrade to the latest native driver.

For more details about supported software, see the DataStax Support Policy.

Upgrade your driver to a compatible version to connect to DataStax Astra DB databases. For more information, see the DataStax Driver Matrix.

Prerequisites

  • Create your database and set your environment variables to save time developing on your database. There are four environment variables, three of which are on the Astra dashboard (database id, region, and keyspace), and one that you must create (token). For more, see Create your database.

    A sample <user-ID>-token.json files looks like this:

    {
      "clientId": "THIS-is-a-FAKE-clientId-value-just-for-example",
      "secret": "FAKE-secret-example-values",
      "token": "AstraCS:FAKE-token-values-here:just-for-example"
    }
  • Download and install a supported Python version. Python 3.4, 3.5, 3.6, 3.7, and 3.8 are supported.

    CPython (the standard Python implementation) and PyPy are supported and tested.

  • Client ID and Client Secret by creating your application token for your username and password.

Working with secure connect bundle

This page explains how to use the secure connect bundle for Astra DB Classic.

If you want to use the secure connect bundle with Astra DB Serverless, see the Astra DB Serverless documentation.

Downloading secure connect bundle

To get the necessary security credentials and certificates for connecting drivers to your Astra DB database, you’ll need to download the secure connect bundle from the DataStax Astra Portal.

  1. Open your Astra Portal and select your database.

  2. On the Overview page, select Connect.

  3. In the Database Essentials section, click Get Bundle.

  4. In the Secure Connect Bundle Download dialog box, use the Select a region dropdown menu to select the region for which you want to download the bundle. If you have multiple regions, you can download a bundle for each region.

    If you’ve enabled VPC peering, you can also Download External Secure Connect Bundle for use within your VPC peering. VPC peering is only available on Classic databases.

  5. After selecting a region, various options for downloading the bundle appear. To download the bundle to your local computer, click Download Secure Bundle.

    The secure connect bundle downloads as a ZIP file named secure-connect-<database_name>.zip.

    Expiration of download link

    For added security, the download link for the secure connect bundle expires after five minutes. Once the download link expires, you’ll need to repeat the steps above to regenerate a new download link.

    Note that the secure connect bundle itself never expires.

Sharing secure connect bundle

Although teammates can access your Astra DB database, it doesn’t display in their list of available databases under My Databases in Astra Portal.

After you create an Astra DB database, you can grant access to other members of your team by providing them with the database credentials and connection details for your database.

Be careful when sharing connection details. Providing this information to another user grants them access to your Astra DB database and ownership capabilities, such as making modifications to the database.

For security, delete downloaded connection credentials after sending them to your teammate.

Secure connect bundle contents

The Secure Connect Bundle (SCB) contains the following files:

File Contents

ca.crt

DataStax’s Certificate Authority public certificate

cert

A certificate, unique to the specific SCB

key

A private key, unique to the specific SCB

cert.pfx

A PFX formatted archive containing the certificate and the private key

config.json

A configuration file with information on how to securely connect to the Astra DB instance associated with the SCB

cqlshrc

A CQLSH profile containing CQL shell session settings

identity.jks

A Java keystore file containing the aforementioned cert & key files

trustStore.jks

A Java keystore file containing the aforementioned ca.crt

Connecting Python driver

  1. Install the DataStax Python driver.

    pip install cassandra-driver

    See the Python driver installation instructions for more information.

  2. Verify that the DataStax Python driver installed successfully:

    python -c 'import cassandra;
    print (cassandra.__version__)'

    The version number displays in the console output: 3.24.0 or greater.

  3. Create a connect_database.py file in the main directory for your Python project.

    cd python_project
    touch connect_database.py
  4. Copy the following connection code into the connect_database.py file.

    Set the cloud_config parameter for the Cluster initialization as shown in the following example. The secure_connect_bundle must include the absolute path to your Astra DB database credentials (secure-connect-DATABASE_NAME.zip).

    from cassandra.cluster import Cluster
    from cassandra.auth import PlainTextAuthProvider
    import json
    
    with open(ASTRA_TOKEN_PATH, "r") as f:
        creds = json.load(f)
        ASTRA_DB_APPLICATION_TOKEN = creds["token"]
    
    cluster = Cluster(
        cloud={
            "secure_connect_bundle": ASTRA_DB_SECURE_BUNDLE_PATH,
        },
        auth_provider=PlainTextAuthProvider(
            "token",
            ASTRA_DB_APPLICATION_TOKEN,
        ),
    )
    
    session = cluster.connect()
  5. After the connection code, add the following code to connect-database.py. This code creates a Cluster instance to connect to your Astra DB database, runs a CQL query, and prints the output to the console. As the name suggests, you will typically have one instance of Cluster for each Cassandra cluster you want to interact with.

    row = session.execute("select release_version from system.local").one()
    if row:
        print(row[0])
    else:
        print("An error occurred.")
  6. Save and close the connect_database.py file.

  7. Run connect_database.py.

    python ./connect_database.py

    The console output displays the release_version from the system.local table:

    4.0.0.670

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