The current version is 4.0.2. Please see the changelog for details on version history.

This package implements an authentication plugin for the open-source Datastax Python Driver for Apache Cassandra. The driver enables you to add authentication information to your API requests using the AWS Signature Version 4 Process (SigV4). Using the plugin, you can provide users and applications short-term credentials to access Amazon Keyspaces (for Apache Cassandra) using AWS Identity and Access Management (IAM) users and roles.

The plugin depends on the AWS SDK for Python (Boto3). It uses boto3.Session to obtain credentials.

ssl_context = SSLContext(PROTOCOL_TLSv1_2)
ssl_context.load_verify_locations('./AmazonRootCA1.pem')
ssl_context.verify_mode = CERT_REQUIRED
boto_session = boto3.Session(aws_access_key_id="AKIAIOSFODNN7EXAMPLE",
                             aws_secret_access_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY",
                             aws_session_token="AQoDYXdzEJr...<remainder of token>",
                             region_name="us-east-2")
auth_provider = SigV4AuthProvider(boto_session)
cluster = Cluster(['cassandra.us-east-2.amazonaws.com'], ssl_context=ssl_context, auth_provider=auth_provider,
                  port=9142)
session = cluster.connect()
r = session.execute('select * from system_schema.keyspaces')
print(r.current_rows)

The following sections describe how to use the authentication plugin for the open-source DataStax Python Driver for Cassandra to access Amazon Keyspaces.

The first step is to get an Amazon digital certificate to encrypt your connections using Transport Layer Security (TLS). The DataStax Python driver must use an SSL CA certificate so that the client SSL engine can validate the Amazon Keyspaces certificate on connection.

ssl_context = SSLContext(PROTOCOL_TLSv1_2)
ssl_context.load_verify_locations('./AmazonRootCA1.pem')
ssl_context.verify_mode = CERT_REQUIRED

Before you can start using the plugin, you must configure the AWS Region that the plugin will use when authenticating. This is required because SigV4 signatures are Region-specific. For example, if you are connecting to the cassandra.us-east-2.amazonaws.com endpoint, the Region must be us-east-2. For a list of available AWS Regions and endpoints, see Service Endpoints for Amazon Keyspaces.

You can specify the Region using one of the following four methods:

• Environment Variable
• Constructor
• Boto3 Session Configuration

You can use the AWS_REGION environment variable to match the endpoint that you are communicating with by setting it as part of your application start-up, as follows.

$ export AWS_REGION=us-east-1

You can either provide the constructor for SigV4AuthProvider with a boto3 session, aws credentials and a region, or a parameterless constructor to follow the default boto3 credential discovery path.

pip install cassandra-sigv4

Note that if a session is provided, all other arguments for the constructor are ignored.

boto_session = boto3.Session(aws_access_key_id="AKIAIOSFODNN7EXAMPLE",
                             aws_secret_access_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY",
                             aws_session_token="AQoDYXdzEJr...<remainder of token>",
                             region_name="us-east-2")
auth_provider = SigV4AuthProvider(boto_session)
cluster = Cluster(['cassandra.us-east-2.amazonaws.com'], ssl_context=ssl_context, auth_provider=auth_provider,
                  port=9142)

auth_provider = SigV4AuthProvider(aws_access_key_id="AKIAIOSFODNN7EXAMPLE",
                                  aws_secret_access_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY",
                                  aws_session_token="AQoDYXdzEJr...<remainder of token>",
                                  region_name="us-east-2")
cluster = Cluster(['cassandra.us-east-2.amazonaws.com'], ssl_context=ssl_context, auth_provider=auth_provider,
                  port=9142)