Cloudera Docs

Cloudera Data Engineering upgrade scenarios

When deciding which upgrade path to take, consider the eligibility of the Cloudera Data Engineering version, the Cloudera Data Engineering services, as well as the recommendations if your Cloudera Data Engineering services include Apache Airflow workloads.

Eligibility for in-place upgrade

  1. Check if your Cloudera Data Engineering version is eligible for the in-place upgrade. For more information, see Cloudera Data Engineering upgrade version compatibility.
  2. Check if your Cloudera Data Engineering services are eligible for in-place upgrade. For more information, see Handling ineligible upgrades for Cloudera Data Engineering.
If both your Cloudera Data Engineering version and services are eligible, take the in-place upgrade, but if you have Apache Airflow workloads in your Cloudera Data Engineering services, before the upgrade, consider the aspects listed in Upgrade considerations if Cloudera Data Engineering services include Apache Airflow workloads.

If your Cloudera Data Engineering version is not eligible for the in-place upgrade, or if your Cloudera Data Engineering services are in one of the listed in-eligible upgrade cases, take the manual backup and restore.

Upgrading Cloudera Data Lake to version 7.3.1

In Cloudera Data Engineering, Cloudera Data Lake version 7.3.1 only supports Spark 3.5, or higher versions. If you plan to upgrade to Cloudera Data Lake version 7.3.1, first, make sure to migrate your Spark workloads to Spark 3.5. For more information, see Upgrading to Cloudera Data Lake 7.3.1 with Cloudera Data Engineering.