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

Kyvos AWS Marketplace  Kyvos Single Node Installation (Kyvos SNI)  Kyvos Free (Limited offering for AWS)


Precomputing dimensions allow you to 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.

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