Upgrading Cloudera Data Engineering
Cloudera Data Engineering supports in-place upgrades on both AWS and Azure. Cloudera Data Engineering provides an in-place upgrade option from the eligible versions to the latest version. If you are on a Cloudera Data Engineering version that is not eligible for the in-place upgrade, the in-place upgrade option is disabled and you can perform a backup and restore. The upgrades can be triggered by an Admin from the Cloudera Data Engineering user interface.
To check whether your Cloudera Data Engineering version is eligible for the in-place upgrade option, see Support lifecycle policy.
When you upgrade to the latest version in Cloudera Data Engineering, the upgrade process prepares your service for the upgrade with a click of a button. Your information is also backed up in this process. Learn how to complete the upgrade process here.
- Python-venv resources
- Airflow custom operators and libraries
- Airflow connections
- Airflow variables
- Logs
- Job Run logs (Driver, Executor, API)
- Service logs
- Virtual Cluster event logs
- Spark Session logs (Including statement history)
- Airflow DAG logs
- Job Runs
- Job Run history
- Virtual Cluster end-points
- Resource: Docker runtimes
catchup
option is not enabled for any user's
Airflow jobs. Before the backup starts, if the Airflow DAG catchup
options are enabled, disable them manually.