Access Jira Service Desk Data in Anypoint Using SQL

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Jira Service Desk MuleSoft Connector



Create a simple Mule Application that uses HTTP and SQL with the CData Mule Connector for Jira Service Desk to create a JSON endpoint for Jira Service Desk data.

The CData Mule Connector for Jira Service Desk connects Jira Service Desk data to Mule applications enabling read , write, update, and delete functionality with familiar SQL queries. The Connector allows users to easily create Mule Applications to backup, transform, report, and analyze Jira Service Desk data.

This article demonstrates how to use the CData Mule Connector for Jira Service Desk inside of a Mule project to create a Web interface for Jira Service Desk data. The application created allows you to request Jira Service Desk data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData Mule Connector to create a Web interface for the 200+ available data sources.

  1. Create a new Mule Project in Anypoint Studio.
  2. Add an HTTP Connector to the Message Flow.
  3. Configure the address for the HTTP Connector.
  4. Add a CData Jira Service Desk Connector to the same flow, after the HTTP Connector.
  5. Create a new Connection (or edit an existing one) and configure the properties to connect to Jira Service Desk (see below). Once the connection is configured, click Test Connection to ensure the connectivity to Jira Service Desk.

    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.

  6. Configure the CData Jira Service Desk Connector.
    1. Set the Operation to 'Select with Streaming'.
    2. Set the Query type to Dynamic.
    3. Set the SQL query to SELECT * FROM #[message.inboundProperties.'http.query.params'.get('table')] to parse the URL parameter table and use it as the target of the SELECT query. You can customize the query further by referencing other potential URL parameters.
  7. Add a Transform Message Component to the flow.
    1. Map the Payload from the input to the Map in the output.
    2. Set the Output script to the following to convert the payload to JSON:
      %dw 1.0
      %output application/json
      ---
      payload
              
  8. To view your Jira Service Desk data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default) and pass a table name as the table URL parameter: http://localhost:8081?table=Requests
    The Requests data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with Jira Service Desk data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the Mule Connector for Jira Service Desk and see the CData difference in your Mule Applications today.