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Automated design of multidimensional clustering tables for relational databases

Summary: Introduces the first automated method for selecting multidimensional clustering keys and dimension granularities in cell/block-stored relational tables. Combining sampling, what-if cost models, and combinatorial search, it balances clustering benefits against sparsity and matches expert designs in IBM DB2. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9325
Venue
VLDB
Year
2004
Pagerank
5.5474421e-05
Overall Rank
7,770 | 46.70%
DOI
10.1016/B978-012088469-8.50102-9

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lightstone_vldb04,
        title = {{Automated design of multidimensional clustering tables for relational databases}},
        author = {Lightstone, Sam S. and Bhattacharjee, Bishwaranjan},
        journal = {PVLDB},
        series = {{VLDB} '04},
        doi = {10.1016/B978-012088469-8.50102-9},
        url = {https://doi.org/10.1016/B978-012088469-8.50102-9},
        year = {2004}
}

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