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Learning to be a Statistician: Learned Estimator for Number of Distinct Values

Summary: Proposes a supervised-learning NDV estimator, replacing heuristic sample methods with a data-driven model. Trains on synthetic data for workload-agnostic deployment as a UDF, outperforming existing estimators on nine real datasets; code available. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12760
Venue
VLDB
Year
2022
Pagerank
4.6920008e-05
Overall Rank
7,611 | 47.11%
DOI
10.14778/3489496.3489508

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