Troubleshooting upgrade operations This section provides some troubleshooting solutions for errors during Data Lake upgrade operations. Cloudera Manager - memory tuning issueCloudera Data Hub and Data Lake services on JDK 17 clusters might fail after upgrading to Cloudera Runtime 7.3.1.500 or lower versions due to a problem in fine memory tuning with JDK17.Data Lake upgrade - Kafka consumer not available yetAfter the Data Lake upgrade, the Atlas Hook does not function as the Kafka service is not available yet.Data Lake upgrade - out of memory errorData Lake upgrade can fail due to not sufficient memory for Client Java Heap Size. The issue can be resolved by increasing the default Client Java Heap Size value in Cloudera Manager.Parent topic: Upgrading a Data Lake
