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This release includes the following non-Spark enhancements:
Support of Shared Query Engine based deployment in Azure and AWS Marketplace Support for primary key validation in semantic model processing is available. Users can enable the inclusion of erroneous data in error messages and system logs by setting the kyvos.publish.error.data property to true. By default, this property is set to false.
Pruning support is now available for advanced filtering scenarios, enhancing query performance optimization. To enable advanced pruning, set the kyvos.query.enable.advancedPruning property to true. By default, this property is set to false.
Support for pushing SQL expression filters on dimension columns to the MDX engine. Previously, filters based on SQL expressions could not be pushed to the Query Engine (QE) via the MDX flow. With this release, Kyvos now enables pushing such filters to the MDX engine.
Support for reading cuboids from HDFC (on-premises cluster) with LRU cache.
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Performance Optimization for Calculated Measures: When the calculated measure count is increased in the semantic model, queries will now execute within the expected time, ensuring efficient performance without unexpected delays.
Optimized MDX queries with dimensions on both axes, enhancing querying performance and efficiency.
Enhanced the performance of queries using the ‘RESPONSESUBSET’ function, leading to faster query execution and improved efficiency.
New Properties
This release comes with the following API enhancements:
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