Enable the Jira Service Desk JDBC Driver in KNIME

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Jira Service Desk JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Jira Service Desk.



Use standard data access components in KNIME to create charts and reports with Jira Service Desk data.

One of the strengths of the CData JDBC Driver for Jira Service Desk is its cross-platform support, enabling integration with major BI tools. Follow the procedure below to access Jira Service Desk data in KNIME and to create a chart from Jira Service Desk data using the report designer.

Define a New JDBC Connection to Jira Service Desk Data

  1. Install the Report Designer extension: Click File -> Install KNIME Extensions, and filter on "Report".
  2. In a new workflow, click File -> Preferences and expand the KNIME -> Databases node to add cdata.jdbc.jiraservicedesk.jar. The driver JAR is located in the lib subfolder of the installation directory.
  3. In the Node Repository view, expand the Database -> Read/Write node and drag a Database Reader onto the workflow editor.
  4. Double-click the Database Reader and set the following properties:

    • Database Driver: In the menu, select the driver name, cdata.jdbc.jiraservicedesk.JiraServiceDeskDriver
    • Database URL: Enter the connection properties. The JDBC URL begins with jdbc:jiraservicedesk: and is followed by a semicolon-separated list of connection properties.

      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.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.jiraservicedesk.jar

      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.

      A typical JDBC URL is below.

      jdbc:jiraservicedesk:ApiKey=myApiKey;User=MyUser;InitiateOAuth=GETANDREFRESH
    • User Name: The username used to authenticate.
    • Password: The password used to authenticate.
    • SQL Statement: Enter an SQL query in the SQL Statement box or double-click a table. This article uses the query below to create a chart: SELECT RequestId, ReporterName FROM Requests WHERE CurrentStatus = 'Open'
  5. Test the connection by clicking Fetch Metadata.

  6. Connect the Database Reader to a Data to Report node to supply the dataset to a range of data visualization controls. Click Execute and then click Edit Report at the top of the workflow to open the report designer perspective.
  7. You can now generate reports based on live data. To create a chart, drag the chart control from the palette to the report designer. In the resulting wizard, you can use the filtering and aggregation controls available in KNIME.

Troubleshooting

The following list shows how to resolve common errors:

  • Encountered duplicate row Id "Row1": To resolve this error, add the following to the knime.ini file located in your KNIME installation directory:-Dknime.database.fetchsize=0