Upgrading Apache Spark 3.4.1 to Spark 3.5.4

The following steps help you move from Apache Spark 3.4.1 to Apache Spark 3.5.4 on Cloudera Runtime 7.3.1.100 and higher or 7.3.2.0.


Source Spark 3	Target Cloudera Runtime (bundled Spark 3.5.4)	Target Spark 3
3.4.1 (bundled)	7.3.1.100 and higher, or 7.3.2.0	3.5.4 (bundled)

Spark application migration

Follow the Spark application migration documentation to migrate your Apache Spark applications from version 3.4.1 to 3.5.4.

Review behavior changes for Spark 3.4.x to 3.5.4 and refactor your Spark application code.

Upgrade the Server to 7.13.1.0
1. Back up the server databases, working directories, and several other entities. These backups can be used to restore your deployment if there are problems during the upgrade.
2. Upgrade the server software on the host using package commands from the command line (for example, yum on RHEL systems). automates much of this process and is recommend for upgrading and managing your CDH/ clusters.
3. Upgrade the agent software on all cluster hosts. The upgrade wizard can upgrade the agent software (and, optionally, the JDK), or you can install the agent and JDK software manually. The CDH or software is not upgraded during this process.
For more information, see Upgrading 7.
Use to upgrade your clusters from a lower version of to the target version for your Spark upgrade (for example, 7.3.1).
For more information, see Upgrading to a higher version.
handles deactivation of the SPARK3 parcel. The parcel itself is not removed but deactivated.

After the upgrade and application migration are complete:

Check the status of your clusters.
Perform benchmark testing on your applications. See Spark Application Migration.