BaCon: Efficient Batch Processing of Counting Queries
Summary: BaCon batch-evaluates counting queries without modifying DBMS internals, combining factorized representations with workload-aware domain quantization to avoid massive join materialization. A PostgreSQL client/UDF achieves 2–178× speedups, making learned cardinality-estimator training practical. (summarized by gpt-5.6-luna on Aug 17 2026)
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Authors
- 1. Yuxi Liu (Duke University)
- 2. Xiao Hu (University of Waterloo)
- 3. Pankaj K. Agarwal (Duke University)
- 4. Jun Yang (Duke University)
BibTeX Citation
@article{liu_vldb26,
title = {{BaCon: Efficient Batch Processing of Counting Queries}},
author = {Liu, Yuxi and Hu, Xiao and Agarwal, Pankaj K. and Yang, Jun},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {9},
pages = {2508--2521},
doi = {10.14778/3819518.3819567},
url = {https://doi.org/10.14778/3819518.3819567},
year = {2026}
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