Learn more
 

Using the CData ODBC Driver for Jira in PyCharm


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

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 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 as well as PyCharm.

About Jira Data Integration

CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:

  • Gain bi-directional access to their Jira objects like issues, projects, and workflows.
  • Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
  • Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.

Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.

Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.


Getting Started


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

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 JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

Below is the syntax for a DSN:

[CData JIRA Source] Driver = CData ODBC Driver for Jira Description = My Description User = admin Password = 123abc Url = https://yoursitename.atlassian.net

Execute SQL to Jira

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 JIRA};User = admin;Password = 123abc;Url = https://yoursitename.atlassian.net;') cursor = cnxn.cursor() cursor.execute("SELECT Summary, TimeSpent FROM Issues WHERE ReporterDisplayName = 'Bob'") rows = cursor.fetchall() for row in rows: print(row.Summary, row.TimeSpent)

After connecting to Jira in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Jira data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].

Ready to get started?

Download a free trial of the Jira ODBC Driver to get started:

 Download Now

Learn more:

Jira Icon Jira ODBC Driver

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

Access Jira like you would a database - query Projects, Groups, Workflows, etc. through a standard ODBC Driver interface.

In this article

Related articles