cancel
Showing results forย 
Search instead forย 
Did you mean:ย 
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
cancel
Showing results forย 
Search instead forย 
Did you mean:ย 

Performance Issues experienced when cluster was upgraded from 10.4 LTS to 11.3 LTS

Shivani_DB
New Contributor

Performance Issues experienced when cluster was upgraded from 10.4 LTS to 11.3 LTS , The notebooks were running fine with the existing cluster. Soon after the upgrade the notebooks started to fail or exhaust memory executors etc . Any suggestions?

1 REPLY 1

Kaniz_Fatma
Community Manager
Community Manager

Hi @Shivani_DBThe possible reasons for the issues might be:
 - Incompatible dependencies with Spark elastic jar
 - Class not found error: org/sparkproject/guava/cache/CacheLoader


Suggestions to resolve the issues:
 - Check for incompatible dependencies in code and update or modify accordingly
 - Verify cluster configurations, especially Spark Session Isolation
 - Monitor cluster performance using tools like Ganglia
 - Increase cluster capacity if notebooks are failing or memory executors are exhausted
 - Check the driver log for any issues

Connect with Databricks Users in Your Area

Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโ€™t want to miss the chance to attend and share knowledge.

If there isnโ€™t a group near you, start one and help create a community that brings people together.

Request a New Group