Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation
Summary: Systematic design-space exploration and comparative evaluation of state-of-the-art learned cardinality estimators. Highlights when they outperform histograms/sampling on multi-predicate, multi-column, and multi-table queries, guiding practical optimizer deployment. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Ji Sun (Tsinghua University)
- 2. Jintao Zhang (Tsinghua University)
- 3. Zhaoyan Sun (Tsinghua University)
- 4. Guoliang Li (Tsinghua University)
- 5. Nan Tang (Qatar Computing Research Institute)
BibTeX Citation
@article{sun_vldb22,
title = {{Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation}},
author = {Sun, Ji and Zhang, Jintao and Sun, Zhaoyan and Li, Guoliang and Tang, Nan},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {1},
pages = {85--97},
doi = {10.14778/3485450.3485459},
url = {https://doi.org/10.14778/3485450.3485459},
year = {2022}
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