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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.
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:
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:
You can establish a connection to any Jira Service Desk Cloud account or Server instance.
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:
To authenticate with a service account, supply the following connection properties:
Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.
By default, the connector only surfaces system fields. To access the custom fields for Issues, set IncludeCustomFields.
π Connecting to a datasource (SQLite is shown)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:
Having created a user, you are ready to create API endpoints for the Jira Service Management tables:
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:
π API Endpointshttp://localhost:8080/api.rsc
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.
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.
Learn more or sign up for a free trial:
CData API Server