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

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  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 propertyon Hadoop Connection properties and set the value as SET disabled_optimizers = 'join_order';SET memory_limit='40GB';SET threads TO 1; Restart Kyvos services.

Post deployment steps for Azure

The post-deployment steps must be executed since the Data Lake connection is blank on the Azure no Spark cluster.

  1. Launch SSH Kyvos Manager from terminal.

  2. Navigate to /data/kyvos/app/kyvos/olapengine/conf/providerInfo.xml file.

  3. Update In the providerInfo.xml file on the Kyvos Manager node to add a , add Hadoop cluster for the Azure provider list, including all necessary details.

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  • 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 to select no Spark model processing for semantic model via property.
    To do this, navigate to the Kyvos Properties page and update the KYVOS_PROCESS_COMPUTE_SUBTYPE property and restart Kyvos services.

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