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Kyvos Deployment for On-premises with No Hadoop and No Spark

Important points for no-Hadoop and no-Spark deployments

  • No Spark types: Kyvos Native (Shared QE) or Kyvos Native (Compute)

    • Kyvos Native (Shared QE): In this deployment mode, a semantic model is processed on Query Engines itself.

    • Kyvos Native (Compute): In this deployment mode, a semantic model is processed on a dedicated node. This ensures that query performance is not impacted by issues such as a failure in semantic model processing.

  • A Compute Server can be deployed on any dedicated node, or it can even share nodes with any of the existing services. You can also configure multiple instances of Compute Server service on the same node.

  • Java options for Compute Service server can be configured from Kyvos Manager on the Java Options page.

  • Kyvos Manager offers a way to manage service of dedicated Query Engine or Compute Server from Kyvos Dashboard page as offered for other services of cluster.

  • Logs of dedicated Compute Server service can be viewed and downloaded on the Monitor > Logs page from Kyvos Manager.

  • Kyvos Manager offers a way to add, delete, or migrate Compute Server in a deployed on-premises cluster.

  • Migration of Kyvos Native (Shared QE) cluster to Kyvos native (Compute) is NOT supported. You must redeploy the cluster.

Note

Before deploying no Hadoop and no Spark, the same Network File System (NFS) must be mounted on each compute node of cluster.

To deploy No-Hadoop and No-Spark Cluster, perform the following steps.

  1. Download the setup provided by your admin/Kyvos Support team. Untar the setup bundle and start the Kyvos Manager.
    The Kyvos Installer page is displayed.

  2. Enter details as:

  1. To proceed with the deployment, click the Install button.

 Note

In case of No Hadoop No Spark deployments, data reading is supported via MSSQL and Postgres. To create connection for MSSQL warehouse, see the Working with MSSQL Warehouse Connection section.

Tip

To save the information as a new template, click the Save as Template

For more template management-related features, refer to the section Managing templates.

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