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Rapidly create and deploy powerful .NET applications that integrate with Asana.

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Back Up Asana data to SQL Server through SSIS


Effortlessly backup data to SQL Server by utilizing the CData ADO.NET Provider for Asana. In this article, we will employ an SSIS workflow to populate a database with Asana data data.

This article illustrates using the Asana ADO.NET Data Provider within a SQL Server SSIS workflow for the direct transfer of Asana 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.

  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.

  4. Add a new connection and select .NET Providers\CData ADO.NET Provider for Asana.

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

    You can optionally set the following to refine the data returned from Asana.

    • WorkspaceId: Set this to the globally unique identifier (gid) associated with your Asana Workspace to only return projects from the specified workspace. To get your workspace id, navigate to https://app.asana.com/api/1.0/workspaces while logged into Asana. This displays a JSON object containing your workspace name and Id.
    • ProjectId: Set this to the globally unique identifier (gid) associated with your Asana Project to only return data mapped under the specified project. Project IDs can be found in the URL of your project's Overview page. This will be the numbers directly after /0/.

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Asana. OAuth requires the authenticating user to interact with Asana using the browser. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

  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 Id, WorkspaceId FROM projects WHERE Archived = 'true'

  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.

  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 Asana data.