Visualize Jira Assets Data in TIBCO Spotfire through OData

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Integrate Jira Assets data into dashboards in TIBCO Spotfire.

OData is a major protocol enabling real-time communication among cloud-based, mobile, and other online applications. The CData API Server provides Jira Assets 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 Assets 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 Assets OData services:

Connect to Jira Assets

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

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

    Jira Assets supports connecting and authenticating via the APIToken.

    To generate an API token:

    1. Log in to your Atlassian account.
    2. Navigate to Security < Create and manage API Token < Create API Token.

    Atlassian generates and then displays the API token.

    After you have generated the API token, set these parameters:

    • AuthScheme: APIToken.
    • User: The login of the authenticating user.
    • APIToken: The API token you just generated.

    You are now ready to connect and authenticate to Jira Assets.

  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 Assets 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 Assets

Having created a user, you are ready to create API endpoints for the Jira Assets 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 Assets 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 Assets 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 Objects.
  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 Name in the Numbers section and ID 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.

Ready to get started?

Learn more or sign up for a free trial:

CData API Server