Ten Thousand SQLs: Parallel Keyword Queries Computing
Summary: Parallelizes relational keyword search over tens of thousands of candidate-network SQLs, exploiting query- and operation-level sharing while addressing skew and estimation error. An adaptive relation-partitioning algorithm balances cores with low partitioning overhead. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Lu Qin (Chinese University of Hong Kong)
- 2. Jeffrey Xu Yu (Chinese University of Hong Kong)
- 3. Lijun Chang (Chinese University of Hong Kong)
BibTeX Citation
@article{qin_vldb10,
title = {{Ten Thousand SQLs: Parallel Keyword Queries Computing}},
author = {Qin, Lu and Yu, Jeffrey Xu and Chang, Lijun},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {58--69},
doi = {10.14778/1920841.1920851},
url = {https://doi.org/10.14778/1920841.1920851},
year = {2010}
}
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