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AWS: You can use no Spark model processing to deploy Kyvos through Query Engine.
Azure: For Kubernetes, Kyvos processes the semantic model using Azure’s managed service AKS (Azure Kubernetes Service). The Azure cluster is deployed via ARM templates. You can create a cluster without Spark or process the semantic model utilizing Spark Mode within ARM templates.
GCP: For Kubernetes, Kyvos processes the semantic model using Google Cloud's managed service GKE (Google Kubernetes Engine). The GKE cluster is deployed through GCP Installation Files. Using the scripts, you can select a No-Spark-based cluster or process the semantic model using Spark Mode.
To proceed with a no-spark-based deployment mode, you must use a Dataproc cluster (either new or existing).
For more details about how to deploy Kyvos on GCP using the no-Spark model, see the following section:
Post deployment steps for all clouds (AWS, Azure and GCP)
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Add the kyvos.connection.readUsingCustomFS.jobs.internal=NONE property from the Kyvos connections page
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
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.
Launch SSH Kyvos Manager from terminal.
Navigate to /data/kyvos/app/kyvos/olapengine/conf/providerInfo.xml file.
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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