Use the CData ODBC Driver for SAS xpt in SAS JMP

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SASxpt ODBC Driver

The SASxpt ODBC Driver is a powerful tool that allows you to connect with live data from SAS xpt (XPORT) file data, directly from any applications that support ODBC connectivity.

Access SAS xpt (XPORT) files like you would a database - read, write, and update through a standard ODBC Driver interface.



You can use the CData ODBC Driver to integrate SAS xpt data into the statistical analysis tools available in SAS JMP. This article shows how to use SAS xpt data in the Graph Builder and Query Builder.

You can use the CData ODBC Driver for SAS xpt to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the SAS xpt API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.

This article shows how to access SAS xpt data into a report and create data visualization. It also shows how to use SQL to query SAS xpt data from the JMP Query Builder.

Access SAS xpt Data as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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).

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Import SAS xpt Data with the Query Builder

After you have created the SAS xpt DSN, you can use SQL to invoke the capabilities of the SAS xpt API. Follow the steps below to execute some supported queries in the Query Builder:

  1. In SAS JMP, click File -> Database -> Query Builder. The Select Database Connection dialog is displayed.
  2. Click New Connection.
  3. On the Machine Data Source tab, select the DSN. In the next step, the Select Tables for Query dialog is displayed.
  4. In the Available Tables section, select a table and click Primary.
  5. As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated.
  6. Click Run Query to display the data.
  7. To refresh the results with the current data, right-click Update from Database and click Run Script.

Visualize SAS xpt Data

After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.

  1. Drag a dimension column onto the x axis. For example, Id.
  2. Drag a measure column onto the y axis. For example, Column1.
  3. Select a chart type. For example, a bar chart.