Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula · arXiv (Cornell University) · 2021
Random uniform sampling has been studied in various statistical tasks but few of them have covered the Q-error metric for cardinality estimation (CE). In this paper, we analyze the confidence intervals of random uniform sampling with and without replacement for single-table CE. Results indicate that the upper Q-error bound depends on the sample size and true cardinality. Our bound gives a rule-of-thumb for how large a sample should be kept for single-table CE.