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Using the CData ODBC Driver for Teradata in PyCharm

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

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 Teradata 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 Teradata 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 Teradata

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.

To connect to Teradata, provide authentication information and specify the database server name.

  • User: Set this to the username of a Teradata user.
  • Password: Set this to the password of the Teradata user.
  • DataSource: Specify the Teradata server name, DBC Name, or TDPID.
  • Port: Specify the port the server is running on.
  • Database: Specify the database name. If not specified, the default database is used.

Below is the syntax for a DSN:

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

Execute SQL to Teradata

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 Teradata};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 Teradata in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Teradata 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.