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IBM Cloud Data Engine Icon IBM Cloud Data Engine ODBC Driver

The IBM Cloud Data Engine ODBC Driver is a powerful tool that allows you to connect with live data from IBM Cloud Data Engine, directly from any applications that support ODBC connectivity.

Access IBM Cloud Data Engine interactive query services data like you would a database, through a standard ODBC Driver interface.

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Using the CData ODBC Driver for IBM Cloud Data Engine in PyCharm


Connect to IBM Cloud Data Engine as an ODBC data source in PyCharm using the CData ODBC Driver for IBM Cloud Data Engine.

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 IBM Cloud Data Engine 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 IBM Cloud Data Engine 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 IBM Cloud Data Engine

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.

IBM Cloud Data Engine uses the OAuth and HMAC authentication standards. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

Below is the syntax for a DSN:

[CData IBMCloudDataEngine Source] Driver = CData ODBC Driver for IBM Cloud Data Engine Description = My Description Api Key = MyAPIKey Instance CRN = myInstanceCRN Region = myRegion Schema = mySchema OAuth Client Id = myOAuthClientId OAuth Client Secret = myOAuthClientSecret

Execute SQL to IBM Cloud Data Engine

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 IBMCloudDataEngine};Api Key = MyAPIKey;Instance CRN = myInstanceCRN;Region = myRegion;Schema = mySchema;OAuth Client Id = myOAuthClientId;OAuth Client Secret = myOAuthClientSecret;') cursor = cnxn.cursor() cursor.execute("SELECT Id, Status FROM Jobs WHERE UserId = 'user@domain.com'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Status)

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