Export Data from SQL Server to Google Spanner through SSIS

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 Google Spanner allows you to easily transfer Google Spanner data. In this article you will export data from SQL Server to Google Spanner.

Add Source and Destination Components

To get started, add a new ADO.NET Source control and a new Google Spanner 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 Google Spanner.
3. Close the ADO NET Source wizard and connect it to the destination component.

Create a New Connection Manager for Google Spanner

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 GoogleSpanner Connection Manager in the menu.
3. Configure the connection properties.

   Google Spanner uses the OAuth authentication standard. To authenticate using OAuth, you can use the embedded credentials or register an app with Google.

   See the Getting Started guide in the CData driver documentation for more information.

Configure the Google Spanner Destination

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

1. Double-click the Google Spanner 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 Customer. 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.