Cloudera Docs

Upgrading Spark 3.3.2 (bundled) on 7.2.17 to Spark 3.5.4

The following steps help you move from Apache Spark 3.3.2 (bundled) on Cloudera on cloud 7.2.17 to Apache Spark 3.5.4 on Cloudera Runtime 7.3.1.100 and higher or 7.3.2.0.

Source cluster version Source cluster Spark 2 version Source cluster Spark 3 version Target cluster version Target cluster Spark 3 version Spark 2 used with connectors1
7.2.17 none 3.3.2 (bundled) 7.3.1.100+ or 7.3.2.0 3.5.4 (bundled) no
1 Oozie, Solr, Phoenix, Hive Warehouse Connector, Spark Schema Registry

Spark application migration

Follow the Spark application migration documentation to migrate your Apache Spark applications from version 3.3.2 to 3.5.4.
  1. Review behavior changes for Spark 3.3.x through 3.5.4 and refactor your Spark application code.

In-place cluster upgrade

  1. Upgrade the Data Lake cluster to 7.3.1
    1. Check the support matrix for upgrades.
    2. Stop all s attached to the environment.
    3. From the , click Data Lakes > Environment Name, scroll to the bottom of the Data Lake details page, and click the Upgrade tab.
    4. Click the Target Version drop-down menu to see any available upgrades.
    5. If you want to skip the automatic backup that is taken before the upgrade, uncheck the Automatic backup box.
    6. Click Validate and Prepare to check for any configuration issues and begin the parcel download and distribution.
    7. Click Upgrade to initiate the upgrade.
    8. Click the Event History tab to monitor the upgrade process and verify that it completes successfully.
    For more information, see Data Lake upgrade.
  2. Upgrade the new cluster to 7.3.1
    1. Check the support matrix for upgrades.
    2. Start the cluster.
    3. Check the current version of .
    4. If your cluster uses Streams Replication Manager, export or migrate aggregated metrics.
    5. If you use autoscaling, disable autoscaling on the cluster.
    6. Upgrade the cluster.
    7. Monitor the upgrade progress using the Event History tab.
    8. When the upgrade is complete, verify the new version.
    9. If you disabled autoscaling on the cluster, you can re-enable it after upgrade.
    For more information, see Upgrading s.

Final steps

After the upgrade and application migration are complete:
  1. Check the status of your Data Lakes, s, and clusters.
  2. Perform benchmark testing on your applications. See Spark Application Migration.