Cloudera Docs

Limitations of migrating CDSW to Cloudera AI

You need to avoid unsupported operations that might cause migration to fail.

The following operations are not supported for migration of Cloudera Data Science Workbench (CDSW) 1.10.0 or higher version to Cloudera AI:
  • The migration of CDSW to Cloudera AI is not supported for the Cloudera Embedded Container Service cluster installed with the internal registry alias option.
  • Migration to Cloudera Private Cloud OpenShift Container Platform (OCP) is not supported.
  • Custom configurations, such as host or Kubernetes configurations, are not migrated. You must note these configurations and manually configure your Private Cloud cluster after migration.
  • CDSW and Cloudera Private Cloud clusters must run side-by-side during migration.
  • CDSW projects that use engines with Spark might not work as expected after migration.
  • Migrating the sessions created with a custom engine in CDSW will not work in the migrated Cloudera AI as the engine architecture differs between Cloudera AI and CDSW. You must move from the custom engine to a custom ML Runtime before the migration.
  • CDSW projects that access HBase might not work after migration.