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V1.1.0

Change Description

The OmniMV materialized view feature of Kunpeng BoostKit for Big Data uses AI algorithms to recommend the optimal materialized view from historical SQL queries, automatically matches user SQL statements with a materialized view, and uses the matched materialized view in the SQL execution plan. This feature greatly reduces repeated calculations and increases the query efficiency.

Version 1.1.0 has the following changes:

  • Incorporated the documents of this feature into the Kunpeng BoostKit 23.0.RC2 Big Data OmniRuntime Feature Guide.
  • Supports intelligent recommendation of materialized views on the ClickHouse engine.
  • Supports functions such as candidate view generation, cost estimation model training, and view selection model training on the ClickHouse engine.
  • Optimized the AI algorithm recommendation module.

Resolved Issues

None

Known Issues

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