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

Access Jira Service Desk data like you would a database - read, write, and update Jira Service Desk Customers, Organizations, Requests, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Jira Service Desk in PyCharm


Connect to Jira Service Desk as an ODBC data source in PyCharm using the CData ODBC Driver for Jira Service Desk.

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 Jira Service Desk 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 Jira Service Desk 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 Jira Service Desk

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 establish a connection to any Jira Service Desk Cloud account or Server instance.

Connecting with a Cloud Account

To connect to a Cloud account, you'll first need to retrieve an APIToken. To generate one, log in to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

Supply the following to connect to data:

  • User: Set this to the username of the authenticating user.
  • APIToken: Set this to the API token found previously.

Connecting with a Service Account

To authenticate with a service account, you will need to supply the following connection properties:

  • User: Set this to the username of the authenticating user.
  • Password: Set this to the password of the authenticating user.
  • URL: Set this to the URL associated with your JIRA Service Desk endpoint. For example, https://yoursitename.atlassian.net.

Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.

Accessing Custom Fields

By default, the connector only surfaces system fields. To access the custom fields for Issues, set IncludeCustomFields.

Below is the syntax for a DSN:

[CData JiraServiceDesk Source] Driver = CData ODBC Driver for Jira Service Desk Description = My Description ApiKey = myApiKey User = MyUser

Execute SQL to Jira Service Desk

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 JiraServiceDesk};ApiKey = myApiKey;User = MyUser;') cursor = cnxn.cursor() cursor.execute("SELECT RequestId, ReporterName FROM Requests WHERE CurrentStatus = 'Open'") rows = cursor.fetchall() for row in rows: print(row.RequestId, row.ReporterName)

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