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Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing

Summary: Introduces conditional join plans for correlation-aware horizontal partitioning, with eddies sharing intermediate state across partition-specific plans. A low-overhead graphical-model greedy optimizer delivers up to 10× faster execution on highly correlated data without harming low-correlation workloads. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10294
Venue
VLDB
Year
2010
Pagerank
5.3432371e-05
Overall Rank
8,965 | 38.50%
DOI
10.14778/1920841.1920911

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tzoumas_vldb10,
        title = {{Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing}},
        author = {Tzoumas, Kostas and Deshpande, Amol and Jensen, Christian S.},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {542--553},
        doi = {10.14778/1920841.1920911},
        url = {https://doi.org/10.14778/1920841.1920911},
        year = {2010}
}

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