Change Description
The OmniMV 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:
- Added intelligent recommendation of materialized views on the ClickHouse engine.
- Added 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.
Parent topic: V1.1.0