Connect to SAS xpt Data in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for SASxpt, HULFT Integrate can work with live SAS xpt data. This article walks through connecting to SAS xpt and moving the data into a CSV file.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live SAS xpt data. When you issue complex SQL queries to SAS xpt, the driver pushes supported SQL operations, like filters and aggregations, directly to SAS xpt and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze SAS xpt data using native data types.

Enable Access to SAS xpt

To enable access to SAS xpt data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.sasxpt.jar (and cdata.jdbc.sasxpt.lic), to the jdbc_adapter subfolder for the Integrate Server
2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to SAS xpt Data

Once you copy the JAR files, you can create a project with access to SAS xpt data. Start by opening Integrate Studio and creating a new project.

1. Name the project
2. Ensure the "Create script" checkbox is checked
3. Click Next
4. Name the script (e.g.: SASXpttoCSV)

Once you create the project, add components to the script to copy SAS xpt data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for SAS xpt. Set the following properties:
   • Name: SAS xpt Connection Settings
   • Driver class name: cdata.jdbc.sasxpt.SASXptDriver
   • URL: jdbc:sasxpt:URI=C:/folder;
     
     

     Built-in Connection String Designer

     For assistance 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.

     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).

2. Write your SQL statement. For example:

   SELECT Id, Column1 FROM SampleTable_1

3. Click "Extraction test" to ensure the connection and query are configured properly
4. Click "Execute SQL statement and set output schema"
5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

1. Set a file to write the query results to (e.g. SampleTable_1.csv)
2. Set "Input data" to the "Select SQL" component
3. Add columns for each field selected in the SQL query
4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
5. Click "Finish"

Map SAS xpt Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move SAS xpt data into a CSV file.

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