After the SSIS Task has finished executing, your database will be populated with SAS xpt data.Marcin Policht delves deeper into the specifics of the Integration Services feature of SQL Server 20 R2's capabilities by stepping through the process of creating and configuring sample packages that take advantage of SSIS functionality.

Configure any properties you wish to on the Mappings screen.

In the Table Or View menu, select the table or view to populate.

In the Data access mode menu, select 'table or view'.

Enter your server and database information here.

Open the ADO.NET Destination and add a New Connection.

Close the SAS xpt Source control and connect it to the ADO.NET Destination.įollow the steps below to specify the SQL server table to load the SAS xpt data into.SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100' Specify the query to use for the data extraction.In the Connection Manager menu, select the connection manager previously created.Double-click the SAS xpt source to open the source component editor.AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.įollow the steps below to specify the query to be used to extract SAS xpt data.AzureAccount: Set this to the name of the Azure Data Lake storage account.URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.You can connect to ADLS Gen2 to read SASXpt files. TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).Ĭonnecting to Azure Data Lake Storage Gen2.AWSSecretKey: Set this to your AWS account secret key.AWSAccessKey: Set this to your AWS account access key.URI: Set this to the folder within your bucket that you would like to connect to.You can connect to Amazon S3 source to read SASXpt files. You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files. The CData SAS xpt Connection Manager is displayed. In the Connection Manager type menu, select SASXpt.The Add SSIS Connection Manager dialog is displayed. In the Connection Manager window, right-click and then click New Connection.To get started, add a new SAS xpt source and SQL Server ADO.NET destination to a new data flow task.įollow the steps below to save SAS xpt connection properties in a connection manager. This example demonstrates how to use the CData SSIS Tasks for SAS xpt inside of a SQL Server SSIS workflow to transfer SAS xpt data into a Microsoft SQL Server database. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more. Using SQL Server as a backup for critical business data provides an essential safety net against loss.

Import dtsx to sql server