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URL: https://www.cdata.com/kb/tech/jira-ado-ssistask.rst

⇱ Back Up Jira data to SQL Server through SSIS

Back Up Jira data to SQL Server through SSIS

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Effortlessly backup data to SQL Server by utilizing the CData ADO.NET Provider for Jira. In this article, we will employ an SSIS workflow to populate a database with Jira data data.

This article illustrates using the Jira ADO.NET Data Provider within a SQL Server SSIS workflow for the direct transfer of Jira data to a Microsoft SQL Server database. It's worth noting that the identical process detailed below is applicable to any CData ADO.NET Data Providers, enabling the direct connection of SQL Server with remote data through SSIS.

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


  1. Open Visual Studio and create a new Integration Services project.
  2. Add a new Data Flow task from the toolbox onto the Control Flow screen.

  3. In the Data Flow screen, add an ADO.NET Source and an OLE DB Destination from the toolbox.

    👁 The components used in the data task in this example.
  4. Add a new connection and select .NET Providers\CData ADO.NET Provider for Jira.

  5. In the connection manager, enter the connection details for Jira data.

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

    👁 Connection properties in the Connection Manager dialog. (Salesforce is shown.)

  6. Open the DataReader editor and set the following information:

    • ADO.NET connection manager: In the Connection Managers menu, select the Data Connection you just created.
    • Data access mode: Select 'SQL command'.
    • SQL command text: In the DataReader Source editor, open the Component Properties tab and enter a SELECT command, such as the one below:
      SELECT Projects.LeadName, Issues.Summary FROM Projects, Issues WHERE Projects.Id=Issues.ProjectId
    👁 The connection and query specified in the source component properties. (Salesforce is shown.)
  7. Close the DataReader editor and drag the arrow below the DataReader Source to connect it to the OLE DB Destination.

  8. Open the OLE DB Destination and enter the following information in the Destination Component Editor.

    • Connection manager: Add a new connection. Enter your server and database information here. In this example, SQLExpress is running on a separate machine.
    • Data access mode: Set your data access mode to "table or view" and select the table or view to populate in your database.

  9. Configure any properties you wish on the Mappings screen.

    👁 Input and destination columns in the OLE DB Destination Editor.
  10. Close the OLE DB Destination Editor and run the project. After the SSIS task has finished executing, your database will be populated with data obtained from Jira data.
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