Connect to SAS xpt Data as a SQL Server Linked Server

SQL Server Linked Servers enable the SQL Server Database Engine to read data from remote data sources and execute commands against the remote database servers outside of the instance of SQL Server. Typically, linked servers are configured to enable the execution of a T-SQL statement that includes tables in another instance of SQL Server, or another database product such as Oracle. When paired with CData Connect AI, linked servers provides instant access to SAS xpt data from your SQL Server database. This article demonstrates how to connect to SAS xpt using Connect AI and query SAS xpt data in SQL Server Management Studio (SSMS).

CData Connect AI provides a pure SQL Server interface for SAS xpt, allowing you to query data from SAS xpt without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to SAS xpt, leveraging server-side processing to return the requested SAS xpt data quickly.

Configure SAS xpt Connectivity for SQL Server

Connectivity to SAS xpt from SQL Linked Servers is made possible through CData Connect AI. To work with SAS xpt data from SQL Linked Servers, we start by creating and configuring a SAS xpt connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "SAS xpt" from the Add Connection panel

3. Enter the necessary authentication properties to connect to SAS xpt.

   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).
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SAS xpt Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to SAS xpt data from .

Connect to SAS xpt from SQL Server using Connect AI

To establish a connection from SQL Server Linked Server to the CData Connect AI Virtual SQL Server API, follow these steps.

1. Open Microsoft SQL Server Management Studio.
2. In the Object Explorer pane, open Server Objects, right-click Linked Servers, and select New Linked Server.

3. The New Linked Server dialogue opens. On the General page, enter the following information:
   • Enter a name for the server in the Linked server field.
   • Select the radio button Other data source and select SQL Server Native Client 11.0 as the provider.
   • In the Data source field, enter tds.cdata.com,14333
   • In the Catalog field, enter enter the Connection Name of the CData Connect AI data source you want to connect to (for example, SASXpt1).
   
4. Select the Security page. At the bottom, select the radio button labeled Be made using this security context and enter the following information:
   • Remote login - enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
   • With password - enter the PAT you generated on the Settings page.
   
5. Click OK to create the server.
Your linked server can now be used to access the data in the data source you specified. If you need to access data from more sources, create another linked server for each one.

Execute Queries

You can now execute queries to the SAS xpt linked server from any tool that can connect to SQL Server. An example SQL query would be:

		SELECT * FROM [CDATA CONNECT CLOUD].[SASXpt1].[SASXpt].[SampleTable_1]
	

We have successfully created a linked server that allows us to query SAS xpt data.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!