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Back Up Google Cloud Storage data to SQL Server through SSIS

Easily back up data to SQL Server using the CData ADO.NET Provider for Google Cloud Storage. This example uses an SSIS workflow to populate a database with Google Cloud Storage data.

The CData ADO.NET Provider for Google Cloud Storage connects Google Cloud Storage data to applications that provide backup, reporting, full-text search, analytics, and more.

This example demonstrates how to use the provider for Google Cloud Storage inside of a SQL Server SSIS workflow to directly transfer Google Cloud Storage data into a Microsoft SQL Server database. The exact same procedure outlined below can be used with any CData ADO.NET Data Providers to connect SQL Server directly with remote data via 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 Google Cloud Storage.
  5. In the connection manager, enter the connection details for Google Cloud Storage data.

    Authenticate with a User Account

    You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

    When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

    You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

    • InitiateOAuth: Set this to GETANDREFRESH.
    • OAuthJWTCertType: Set this to "PFXFILE".
    • OAuthJWTCert: Set this to the path to the .p12 file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .p12 file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
    • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
    • ProjectId: Set this to the Id of the project you want to connect to.

    The OAuth flow for a service account then completes.

  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 Name, OwnerId FROM Buckets WHERE Name = 'TestBucket'

  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 Google Cloud Storage data.