A multi-head learned cost model with a shared graph-neural-network embedding routes SQL queries to the fastest engine in a lakehouse, using Calcite-optimized logical plans as inputs.
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A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
A multi-head learned cost model with a shared graph-neural-network embedding routes SQL queries to the fastest engine in a lakehouse, using Calcite-optimized logical plans as inputs.