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The Azure Table ODBC Driver is a powerful tool that allows you to connect with live Azure Table data, directly from any applications that support ODBC connectivity.

Access Azure Table Storage like you would a database - read, write, and update data through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Azure Table in PyCharm


Connect to Azure Table as an ODBC data source in PyCharm using the CData ODBC Driver for Azure Table.

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 Azure Table 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 Azure Table 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 Azure Table

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.

Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.

Below is the syntax for a DSN:

[CData AzureTables Source] Driver = CData ODBC Driver for Azure Table Description = My Description AccessKey = myAccessKey Account = myAccountName

Execute SQL to Azure Table

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 AzureTables};AccessKey = myAccessKey;Account = myAccountName;') cursor = cnxn.cursor() cursor.execute("SELECT Name, Price FROM NorthwindProducts WHERE ShipCity = 'New York'") rows = cursor.fetchall() for row in rows: print(row.Name, row.Price)

After connecting to Azure Table in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Azure Table 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.