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You can use no Spark model processing to deploy Kyvos through Query Engine or Kubernetes for Azure and GCP.

Post deployment for all clouds (AWS, Azure and GCP)

After deploying Kyvos using no-Spark processing model, perform the following post deployment steps.

  1. Add the kyvos.connection.readUsingCustomFS.jobs.internal=NONE property from the Kyvos connections page

  2. Modify the values of the following properties in the advance properties of semantic model job:

    • kyvos.process.compute.type=KYVOS_COMPUTE

    • kyvos.build.aggregate.type=TABULAR

  3. Set the kyvos.process.datastore.properties property on Hadoop Connection properties and set the value as SET disabled_optimizers = 'join_order';SET memory_limit='40GB';SET threads TO 1;

  4. Restart Kyvos services.

Important

  • From the Kyvos Connection page, do the following:

    • For ROLAP queries, set the kyvos.connection.defaultsqlengine property’s value as True.

    • Add the kyvos.connection.isRead property and set is value as True.

  • Modify the value of the following semantic model advanced properties on Kyvos Web Portal:

    • kyvos.sqlwarehouse.catalog = ‘Your catalog name’ 

    • kyvos.sqlwarehouse.tempdb = ‘Your Database name’ 

    • kyvos.build.aggregate.type = TABULAR 

    • Kyvos.process.compute.type = Kyvos Compute 

  • You can also set subtype at semantic model via property, for this navigate to Kyvos Properties page and update the KYVOS_PROCESS_COMPUTE_SUBTYPE property and restart Kyvos services.

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