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Exploiting Soft and Hard Correlations in Big Data Query Optimization

Summary: EXORD exploits guaranteed and uncertain attribute correlations in big-data optimization, validating soft rules and isolating violating records. A workload-aware cost-benefit heuristic selects useful correlations for Hive/Hadoop, integrating with indexing and partitioning for over 10× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11400
Venue
VLDB
Year
2016
Pagerank
5.995949e-05
Overall Rank
6,044 | 58.54%
DOI
10.14778/2994509.2994514

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{liu_vldb16,
        title = {{Exploiting Soft and Hard Correlations in Big Data Query Optimization}},
        author = {Liu, Hai and Xiao, Dongqing and Didwania, Pankaj and Eltabakh, Mohamed Y.},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {12},
        pages = {1005--1016},
        doi = {10.14778/2994509.2994514},
        url = {https://doi.org/10.14778/2994509.2994514},
        year = {2016}
}

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