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Using the CData ODBC Driver for Veeva in PyCharm

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

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 Veeva 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 Veeva 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 Veeva

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.

You are ready to connect after specifying the following connection properties:

  • Url: The host you see in the URL after you login to your account. For example: https://my-veeva-domain.veevavault.com
  • User: The username you use to login to your account.
  • Password: The password you use to login to your account.

Below is the syntax for a DSN:

[CData Veeva Source] Driver = CData ODBC Driver for Veeva Description = My Description User = myuser Password = mypassword Server = localhost Database = mydatabase

Execute SQL to Veeva

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 Veeva};User = myuser;Password = mypassword;Server = localhost;Database = mydatabase;') cursor = cnxn.cursor() cursor.execute("SELECT ProductId, ProductName FROM NorthwindProducts WHERE CategoryId = '5'") rows = cursor.fetchall() for row in rows: print(row.ProductId, row.ProductName)

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