Empirical evaluation of sampling-based distinct combination estimation for multi-attribute GROUP-BY queries, including a new workload generator, tests on real datasets and TPC-H, error analysis, and recommendations for estimator design.
Adandv: Adaptive number of distinct value estimation via learning to select and fuse estimators,
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From Single to Multiple Attributes: Experimental Insights on Sampling-Based Distinct Combination Estimation in GROUP-BY Queries
Empirical evaluation of sampling-based distinct combination estimation for multi-attribute GROUP-BY queries, including a new workload generator, tests on real datasets and TPC-H, error analysis, and recommendations for estimator design.