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Back Up Databricks data to SQL Server through SSIS



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

This article illustrates using the Databricks ADO.NET Data Provider within a SQL Server SSIS workflow for the direct transfer of Databricks 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 Databricks.
  5. In the connection manager, enter the connection details for Databricks data.

    To connect to a Databricks cluster, set the properties as described below.

    Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

    • Server: Set to the Server Hostname of your Databricks cluster.
    • HTTPPath: Set to the HTTP Path of your Databricks cluster.
    • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

  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 City, CompanyName FROM Customers WHERE Country = 'US'

  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 Databricks data.