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Google Cloud Spanner Icon Google Spanner ODBC Driver

The Google Cloud Spanner ODBC Driver is a powerful tool that allows you to connect with live Spanner Cloud databases, directly from any applications that support ODBC connectivity.

Access Google Cloud Spanner like you would any other RDBMS - read, write, and update through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Google Spanner in PyCharm


Connect to Google Spanner as an ODBC data source in PyCharm using the CData ODBC Driver for Google Spanner.

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Google Spanner from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Google Spanner as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

  1. Click File -> Settings to open the project settings window.
  2. Click Project Interpreter from the Project: YourProjectName menu.
  3. To add pyodbc, click the + button and enter pyodbc.
  4. Click Install Package to install pyodbc.

Connect to Google Spanner

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

Google Spanner uses the OAuth authentication standard. To authenticate using OAuth, you can use the embedded credentials or register an app with Google.

See the Getting Started guide in the CData driver documentation for more information.

Below is the syntax for a DSN:

[CData GoogleSpanner Source] Driver = CData ODBC Driver for Google Spanner Description = My Description ProjectId = 'project1' InstanceId = 'instance1' Database = 'db1'

Execute SQL to Google Spanner

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for GoogleSpanner};ProjectId = 'project1';InstanceId = 'instance1';Database = 'db1';') cursor = cnxn.cursor() cursor.execute("SELECT Name, TotalDue FROM Customer WHERE Id = '1'") rows = cursor.fetchall() for row in rows: print(row.Name, row.TotalDue)

After connecting to Google Spanner in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Google Spanner data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.