Export Data from SQL Server to Databricks through SSIS

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Databricks SSIS Components

Powerful SSIS Source & Destination Components that allows you to easily connect SQL Server with Databricks through SSIS Workflows.

Use the Databricks Data Flow Components to synchronize with Databricks. Perfect for data synchronization, local back-ups, workflow automation, and more!



Easily push SQL Server data to Databricks using the CData SSIS Tasks for Databricks.

SQL Server databases are commonly used to store enterprise records. It is often necessary to move this data to other locations. The CData SSIS Task for Databricks allows you to easily transfer Databricks data. In this article you will export data from SQL Server to Databricks.

Add Source and Destination Components

To get started, add a new ADO.NET Source control and a new Databricks Destination control to the data flow task.

Configure the ADO.NET Source

Follow the steps below to specify properties required to connect to the SQL Server instance.

  1. Open the ADO.NET Source and add a new connection. Enter your server and database information here.
  2. In the Data access mode menu, select "Table or view" and select the table or view to export into Databricks.
  3. Close the ADO NET Source wizard and connect it to the destination component.

Create a New Connection Manager for Databricks

Follow the steps below to set required connection properties in the Connection Manager.

  1. Create a new connection manager: In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. Select CData Databricks Connection Manager in the menu.
  3. Configure the connection properties.

    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).

Configure the Databricks Destination

In the destination component Connection Manager, define mappings from the SQL Server source table into the Databricks destination table and the action you want to perform on the Databricks data. In this article, you will insert Customers entities to Databricks.

  1. Double-click the Databricks destination to open the destination component editor.
  2. In the Connection Managers tab, select the connection manager previously created.
  3. In the Use a Table, menu, select Customers. In the Action menu, select Insert.
  4. On the Column Mappings tab, configure the mappings from the input columns to the destination columns.

Run the Project

You can now run the project. After the SSIS Task has finished executing, data from your SQL table will be exported to the chosen table.