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Using the CData ODBC Driver for Bugzilla in PyCharm

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

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 Bugzilla 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 Bugzilla 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 Bugzilla

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 can authenticate to your Bugzilla account using two parameters:

  • URL: The URL of your Bugzilla developer's page (the Home page).
  • ApiKey: API Keys can be generated from the Preferences -> API Keys section of your Bugzilla developer's page.

Below is the syntax for a DSN:

[CData Bugzilla Source] Driver = CData ODBC Driver for Bugzilla Description = My Description Url = http://yourdomain/Bugzilla APIKey = abc123

Execute SQL to Bugzilla

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 Bugzilla};Url = http://yourdomain/Bugzilla;APIKey = abc123;') cursor = cnxn.cursor() cursor.execute("SELECT Id, Summary FROM Bugs WHERE Creator = 'user@domain.com'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Summary)

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