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Applies to:Image RemovedKyvos Enterprise  Image RemovedKyvos Cloud (Managed Services on AWS)  Image RemovedKyvos Azure Marketplace

Image RemovedKyvos AWS Marketplace  Image RemovedKyvos Single Node Installation (Kyvos SNI)  Image RemovedKyvos Free (Limited offering for AWSApplies to: (tick) Kyvos Enterprise  (tick) Kyvos Cloud (SaaS on AWS) (tick) Kyvos AWS Marketplace

(tick) Kyvos Azure Marketplace   (tick) Kyvos GCP Marketplace (tick) Kyvos Single Node Installation (Kyvos SNI)

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Precomputing dimensions allow you to support support a large number of dimensions and attributes in a single semantic model.

Reduce the combinations of dimensions that are pre-computed to reduce the semantic model size and the time to process the semantic model. This allows you to have more dimensions in a semantic model without exploding its size. You can choose to avoid those pre-aggregations, which are less significant for use in queries.

Use the following configuration property to define partial materialization:

kyvos.build.precompute.degree: Indicates the extent to which aggregates are precomputed in a semantic model. The value ranges from 1 to 10, where 1 indicates the lowest materialization that requires aggregate computations at runtime, while 10 indicates the highest materialization. The default value is 10.