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.
DataStax recommends using the unified DataStax driver. See this blog post for more information. You can also use the DataStax Enterprise (DSE) drivers, which exposes the same API for connecting to Cassandra databases. |
Prerequisites
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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.
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Download and install a supported Python version. Python 3.4, 3.5, 3.6, 3.7, and 3.8 are supported.
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Client ID and Client Secret by creating your application token for your username and password.
Working with secure connect bundle
Downloading secure connect bundle
To connect to your Astra DB database using the drivers, download the secure database bundle from the DataStax Astra Portal that contains the connection credentials.
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Open a browser, navigate to Astra DB, and log in.
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From your Dashboard page, select your database.
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On the Overview page, select Connect.
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In the Select a Method section, select Drivers and then Legacy from the dropdown menu to select your driver type from the list to load language-specific instructions.
Java and Node.js are available as legacy and cloud native drivers.
If you have multiple regions, select the region you want to connect to from the dropdown menu for instructions.
The bundle URL is the same for all languages.
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Click Download Bundle.
If you have multiple regions, you will have the option to download a bundle for each region from the expanded Download Bundle drop-down menu.
If you’ve enabled VPC peering, you can also Download External Secure Connect Bundle for use within your VPC peering.
The secure-connect-database_name.zip file downloads, which contains the security certificates and credentials for your database.
VPC peering is only available on Classic databases. |
Sharing secure connect bundle
Although teammates can access your Astra DB database, it will not 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. |
Connecting Python driver
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Install the DataStax Python driver.
pip install cassandra-driver
See the Python driver installation instructions for more information.
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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. -
Create a
connect_database.py
file in the main directory for your Python project.cd python_project touch connect_database.py
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Copy the following connection code into the
connect_database.py
file.Set the
cloud_config
parameter for theCluster
initialization as shown in the following example. Thesecure_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 cloud_config= { 'secure_connect_bundle': '/path/to/secure-connect-database_name.zip' } auth_provider = PlainTextAuthProvider('username', 'password') cluster = Cluster(cloud=cloud_config, auth_provider=auth_provider) session = cluster.connect()
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After the connection code, add the following code to
connect-database.py
. This code creates aCluster
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.")
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Save and close the
connect_database.py
file. -
Run
connect_database.py
.python ./connect_database.py
The console output displays the
release_version
from thesystem.local
table:4.0.0.670
Migrating Python driver
Complete the following procedure to migrate your existing DataStax Python driver to a version that is capable of connecting to DataStax Astra DB databases created using Astra DB.
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Install the DataStax Python driver:
See the Python driver installation instructions for more information.
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Verify that the DataStax Python driver installed successfully:
The version number displays in the console output: 3.20.0
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In your existing DataStax Python driver code, modify the connection code to use the Astra DB API. In the
cloud_config
parameter, include the path to the secure connect bundle for your Astra DB database (secure-connect-database_name.zip
), as shown in the following example.from cassandra.cluster import Cluster from cassandra.auth import PlainTextAuthProvider cloud_config= { 'secure_connect_bundle': '/path/to/secure-connect-database_name.zip' } auth_provider = PlainTextAuthProvider('clientId', 'clientSecret') cluster = Cluster(cloud=cloud_config, auth_provider=auth_provider) session = cluster.connect()
from dse.cluster import Cluster from dse.auth import PlainTextAuthProvider cloud_config = { 'secure_connect_bundle': '/python_project/creds/secure-connect-database_name.zip' } auth_provider = PlainTextAuthProvider(username='clientId', 'clientSecret') cluster = Cluster(cloud=cloud_config, auth_provider=auth_provider) session = cluster.connect()
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Run your Python script to connect to your Astra DB database:
python ./my_python_driver.py
If successful, the code builds, compiles, and connects to your Cassandra database.