Back Up SAS xpt data to SQL Server through SSIS

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SASxpt ADO.NET Provider

Rapidly create and deploy powerful .NET applications that integrate with SAS xpt (XPORT) files data.



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

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

This example demonstrates how to use the provider for SAS xpt inside of a SQL Server SSIS workflow to directly transfer SAS xpt 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 SAS xpt.
  5. In the connection manager, enter the connection details for SAS xpt data.

    Connecting to Local SASXpt Files

    You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

    Connecting to S3 data source

    You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

    • URI: Set this to the folder within your bucket that you would like to connect to.
    • AWSAccessKey: Set this to your AWS account access key.
    • AWSSecretKey: Set this to your AWS account secret key.
    • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

    Connecting to Azure Data Lake Storage Gen2

    You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

    • URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
    • AzureAccount: Set this to the name of the Azure Data Lake storage account.
    • AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
    • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

  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, Column1 FROM SampleTable_1 WHERE Column2 = '100'

  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 SAS xpt data.