In SAS^® Visual Data Mining and Machine Learning, using Model Studio to expand a caslib might take a minute or longer to provide results.  The client web-browser might stop responding, or fail, due to high memory-usage.

The problem occurs when the caslib contains hundreds or thousands of entries.

SAS^® Cloud Analytic Services (CAS) logs from the CAS controller show that a small amount of time was spent processing the request to display the caslib. However, diagnostics from built-in web-browser development tools or the browser debugging mode can show that a large amount of time and memory was spent on the client system.

You can work around the problem in either of two ways.

• Limit the number of entries in the caslib.
• Use access controls in SAS^® Viya^® to limit the number of entries that can be viewed by a given user.

Click the Hot Fix tab in this note for a link to instructions about accessing and applying the software update.

After you apply the hot fix, performance is improved significantly, and memory usage is decreased.

However, a caslib that contains thousands of entries is still likely to exhaust memory usage in the web browser due to having too many items to display.  To avoid memory and performance issues, a best practice is to limit the number of items in a caslib to whatever amount works best in your environment.

Operating System and Release Information

An update for this issue is available for SAS Viya 3.4. For instructions on how to access and apply software updates, see the Updating Your SAS Viya software section in the SAS Viya 3.4 for Linux Deployment Guide at

An update for this issue is available for SAS Viya 3.4. For instructions on how to access and apply software updates, see the Updating Your SAS Viya software section in the SAS Viya 3.4 for Windows Deployment Guide at