Integrate with Live Jira Data in MuleSoft (via CData Connect Cloud)


Use CData Connect Cloud to connect to Jira from the MuleSoft Anypoint Platform to integrate live Jira data into custom reports and dashboards.

The MuleSoft Anypoint Platform enables the building, deployment, and management of APIs and integrations, facilitating seamless connectivity across applications and systems. When combined with CData Connect Cloud, it provides access to Jira data for visualizations, dashboards, and more. This article explains how to use CData Connect Cloud to create a live connection to Jira and how to connect and access live Jira data from the MuleSoft Anypoint Platform.

Prerequisites

Before configuring and using MuleSoft with CData Connect Cloud, you must first connect a data source to your CData Connect Cloud account. For more information, see the Connections section.

Additionally, you need to generate a Personal Access Token (PAT) on the Settings page. Be sure to copy it down, as it serves as your password during authentication.

About Jira Data Integration

CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:

  • Gain bi-directional access to their Jira objects like issues, projects, and workflows.
  • Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
  • Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.

Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.

Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.


Getting Started


Configure Jira Connectivity for MuleSoft

Connectivity to Jira from MuleSoft is made possible through CData Connect Cloud. To work with Jira data from MuleSoft, we start by creating and configuring a Jira connection.

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "Jira" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Jira.

    To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Jira Connection page and update the User-based permissions.

With the connection configured, you are ready to connect to Jira data from MuleSoft.

Connecting to CData Connect Cloud

Follow these steps to establish a connection from Mulesoft to CData Connect Cloud through the JDBC driver:

  1. Download and install the CData Connect Cloud JDBC driver.
    1. Open the Client Tools page of CData Connect Cloud.
    2. Locate MuleSoft and click on Download for Mac/Windows/Linux.
    3. Download and run the setup file.
    4. When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
  2. Log into Mulesoft Anypoint Studio or launch the desktop application.
  3. Create a new Mulesoft project. The new project appears in a project folder.
  4. In the Mule Palette located on the right, drag an HTTP Listener to the Message Flow area.
  5. Click on the HTTP Listener to configure it.
  6. Click the + sign on the right of Connector configuration. The HTTP Listener config dialog appears.
  7. Configure the HTTP Listener, providing a Port on which to query your data, and click OK.
  8. Provide a path on which to perform the actions. The HTTP Listener is now configured.
  9. In the Mule Palette on the right, type database in the search bar.
  10. Drag the database operation you want to perform to the Message Flow area. For this example, we choose Select.
  11. Select Generic Connection from the Connection dropdown in the Database Config dialog.
  12. Click the Configure button to configure the JDBC driver. Select Use local file from the drop-down list.
  13. Locate the CData Connect Cloud JAR file from the JDBC driver installation and click OK.
  14. Provide the following information:
    • URL: the URL for the connection, for example: jdbc:connect:Authscheme=Basic;user=username;password=password Note: the password is the PAT created in the Prerequisites section.
    • Driver class name: Enter the Driver class name as: cdata.jdbc.connect.ConnectDriver
  15. Click Test Connection.
  16. If the connection is successful, provide the SQL Query Text in the editor. You can see the table metadata on the right side in the Output tab.
  17. In the Mule Palette, drag Transform Message to the Message Flow area.
  18. Click Transform Message to configure it. Change the Output as follows:
  19. Save your project and run it. In the console, Mulesoft starts initializing the dependencies.
  20. Once you see the message, "Message source 'listener' on flow your_project_name successfully started", you can start querying your data at the endpoint you provided.
  21. Query to check out the data using the Postman application (as shown below).

SQL Access to Jira Data from Cloud Applications

Now you have a direct connection to live Jira data from MuleSoft Anypoint Platform. You can create more connections to ensure seamless data flow, automate business processes, and manage APIs - all without replicating Jira data.

To get real-time data access to 100+ SaaS, Big Data, and NoSQL sources (including Jira) directly from your cloud applications, explore the CData Connect Cloud.

Ready to get started?

Learn more about CData Connect Cloud or sign up for free trial access:

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