How to Connect DBeaver to SAS xpt via a JDBC Driver

The CData JDBC Driver for SASxpt implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to SAS xpt data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for SAS xpt Data

Follow the steps below to load the driver JAR in DBeaver.

1. Open the DBeaver application and, in the "Database" menu, select the "Driver Manager" option. Click "New" to open the "Create new driver" form.
2. In the Settings tab:
   • Set Driver Name to a user-friendly name for the driver (e.g. CData JDBC Driver for SASxpt).
   • Set Class Name to the class name for the JDBC driver: cdata.jdbc.sasxpt.SASXptDriver.
   • Set URL Template to jdbc:sasxpt:.
   👁 Configure the new driver settings (Salesforce is shown).
   
3. In the Libraries tab, click "Add File," navigate to the "lib" folder in the installation directory (C:\Program Files\CData[product_name] XXXX\) and select the JAR file (cdata.jdbc.SASXpt.jar). 👁 Loading the JDBC JAR file (Salesforce is shown).
   

Create a Connection to SAS xpt Data

Follow the steps below to add credentials and other required connection properties.

1. In the "Database" menu, click "New Database Connection."
2. In the "Connect to a database" wizard that results, select the driver you just created (e.g. CData JDBC Driver for SASxpt) and click "Next >." 👁 Selecting the driver (Salesforce is shown).
   
3. On the Main tab of the configuration wizard, set the JDBC URL, using the required connection properties:

   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).

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the SAS xpt JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.sasxpt.jar
   

   Fill in the connection properties and copy the connection string to the clipboard.

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   

   Below is a typical connection string:

   jdbc:sasxpt:URI=C:/folder;
   

   👁 Configuring the JDBC URL (Salesforce is shown).
   
4. Click "Test Connection ..." to ensure you have configured the connection properly. 👁 A successfully configured connection (Salesforce is shown).
   
5. Click "Finish."

Query SAS xpt Data

You can now query information from the tables exposed by the connection: Right-click a Table and then click View Table. The data is available on the Data tab.

👁 The results of a query in DBeaver. (Salesforce is shown.)

More Information & Free Trial

Download a free, 30-day trial of the CData JDBC Driver for SASxpt and start working with your live SAS xpt data in DBeaver. Join the CData Community or reach out to our Support Team if you have any questions.