CONCERTO predicts query latency on parallel OLAP databases by estimating per-operator costs, calibrating resource contention with graph attention networks, and aggregating calibrated costs with a tree convolutional network.
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CONCERTO: Complex Query Execution Mechanism-Aware Learned Cost Estimation
CONCERTO predicts query latency on parallel OLAP databases by estimating per-operator costs, calibrating resource contention with graph attention networks, and aggregating calibrated costs with a tree convolutional network.