Visualize Jira Service Management Data in TIBCO Spotfire through OData

OData is a major protocol enabling real-time communication among cloud-based, mobile, and other online applications. The CData API Server provides Jira Service Management data to OData consumers like TIBCO Spotfire. This article shows how to use the API Server and Spotfire's built-in support for OData to access Jira Service Management data in real time.

Set Up the API Server

If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure Jira Service Management OData services:

Connect to Jira Service Management

To work with Jira Service Management data from TIBCO Spotfire, we start by creating and configuring a Jira Service Management connection. Follow the steps below to configure the API Server to connect to Jira Service Management data:

1. First, navigate to the Connections page.
2. Click Add Connection and then search for and select the Jira Service Management connection.
3. Enter the necessary authentication properties to connect to Jira Service Management.

   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.

   
4. After configuring the connection, click Save & Test to confirm a successful connection.

Configure API Server Users

Next, create a user to access your Jira Service Management data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:

1. On the Users page, click Add User to open the Add User dialog.
2. Next, set the Role, Username, and Privileges properties and then click Add User.
3. An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page:

Creating API Endpoints for Jira Service Management

Having created a user, you are ready to create API endpoints for the Jira Service Management tables:

1. First, navigate to the API page and then click Add Table .
2. Select the connection you wish to access and click Next.
3. With the connection selected, create endpoints by selecting each table and then clicking Confirm.

Gather the OData Url

Having configured a connection to Jira Service Management data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:

Create Data Visualizations on External Jira Service Management Data

1. Open Spotfire and click Add Data Tables -> OData.
2. In the OData Connection dialog, enter the following information:
   • Service URL: Enter the API Server's OData endpoint. For example: http://localhost:8080/api.rsc
   • Authentication Method: Select Username and Password.
   • Username: Enter the username of an API Server user. You can create API users on the Security tab of the administration console.
   • Password: Enter the authtoken of an API Server user.
   
3. Select the tables and columns you want to add to the dashboard. This example uses Requests.
4. If you want to work with the live data, click the Keep Data Table External option. This option enables your dashboards to reflect changes to the data in real time.

   If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.

5. After adding tables, the Recommended Visualizations wizard is displayed. When you select a table, Spotfire uses the column data types to detect number, time, and category columns. This example uses ReporterName in the Numbers section and RequestId in the Categories section.

After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can apply a filter: After clicking the Filter button, the available filters for each query are displayed in the Filters pane.