Here's a technical article tailored for SAP professionals about Upgrading SAP Vora, suitable for inclusion in documentation, training materials, or internal IT knowledge bases.
SAP Vora is an in-memory, distributed computing engine that extends Apache Spark and Hadoop with enterprise-class features. It enables advanced analytics on big data stored in Hadoop Distributed File Systems (HDFS), Amazon S3, or other data lakes, seamlessly integrated with SAP HANA. Like any enterprise software, regular upgrades are crucial for maintaining security, performance, and compatibility with evolving data platforms.
This article provides a structured guide to upgrading SAP Vora, covering preparation, upgrade methods, post-upgrade verification, and best practices.
Upgrading ensures:
Before initiating the upgrade:
There are two primary ways to upgrade Vora:
If you're using SAP Data Intelligence, upgrades are managed centrally.
Steps:
Applicable for Kubernetes or Docker-based deployments.
Steps:
Stop Existing Vora Services
Use kubectl or docker-compose to gracefully stop the Vora containers.
Pull the Latest Images
docker pull store/saplabs/vora-*:<version>
Update Configuration Files
Adjust environment variables or config maps to match new requirements in the latest version.
Redeploy the Vora Services
docker-compose up -d
# or using Helm for Kubernetes:
helm upgrade vora sap/vora --set ...
Check Logs
Validate that each service (e.g., Vora-Discovery, Vora-Transaction-Coordinator) starts without issues.
Run Health Checks
Use vora-tools or built-in diagnostics to verify cluster health and node connectivity.
Validate User Access
Ensure user roles and permissions remain intact.
Test Workloads
Run existing SQL scripts or data pipelines to confirm compatibility.
Monitor Logs
Review logs for any deprecation warnings or runtime errors.
Upgrading SAP Vora is a strategic step that enhances your data lake analytics capabilities, ensuring better integration with SAP’s data ecosystem. With proper planning and execution, organizations can take full advantage of new features while maintaining system stability.