Integrate Jira Service Management Data in Pentaho Data Integration

The CData JDBC Driver for Jira Service Management enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Jira Service Management data as a JDBC data source and build jobs and transformations based on Jira Service Management data in Pentaho Data Integration.

Configure to Jira Service Management Connectivity

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, 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.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Jira Service Management JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

Fill in the connection properties and copy the connection string to the clipboard.

When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Below is a typical JDBC URL:

Save your connection string for use in Pentaho Data Integration.

Connect to Jira Service Management from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for Jira Service Management

1. Click "General"
2. Set Connection name (e.g. Jira Service Management Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Jira Service Management connection string (e.g.
   jdbc:jiraservicedesk:ApiKey=myApiKey;User=MyUser;InitiateOAuth=GETANDREFRESH
6. Set Custom driver class name to "cdata.jdbc.jiraservicedesk.JiraServiceDeskDriver"
7. Test the connection and click "OK" to save.

Create a Data Pipeline for Jira Service Management

Once the connection to Jira Service Management is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

1. Click "File" >> "New" >> "Transformation/job"
2. Drag a "Table input" object into the workflow panel and select your Jira Service Management connection.
3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
4. Select a table and optionally preview the data for verification.

At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

Free Trial & More Information

Download a free, 30-day trial of the CData JDBC Driver for Jira Service Management and start working with your live Jira Service Management data in Pentaho Data Integration today.