Lightweight Cardinality Estimation in LSM-based Systems
Summary: Lightweight statistics for LSM stores; piggybacks on flush/merge to stay updated under high ingestion. Uses equi-width/equi-height histograms and wavelets for cardinality estimates, implemented on Apache AsterixDB with accuracy and overhead evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ildar Absalyamov (University of California Riverside)
- 2. Michael J. Carey (University of California Irvine)
- 3. Vassilis J. Tsotras (University of California Riverside)
BibTeX Citation
@inproceedings{absalyamov_sigmod18,
title = {{Lightweight Cardinality Estimation in LSM-based Systems}},
author = {Absalyamov, Ildar and Carey, Michael J. and Tsotras, Vassilis J.},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183761},
url = {https://dl.acm.org/doi/10.1145/3183713.3183761},
year = {2018}
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