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Multi-Dimensional Clustering: A New Data Layout Scheme in DB2

Summary: Introduces multi-dimensional clustering (MDC) in DB2 UDB v8, a physical layout clustering records by orthogonal dimension attributes for multi-dimensional access. Shows efficient maintenance and query processing with OLAP/warehousing gains and low overhead, validated on star-schema workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3532
Venue
SIGMOD
Year
2003
Pagerank
8.9684812e-05
Overall Rank
2,197 | 84.93%
DOI
10.1145/872757.872835

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{padmanabhan_sigmod03,
        title = {{Multi-Dimensional Clustering: A New Data Layout Scheme in DB2}},
        author = {Padmanabhan, Sriram and Bhattacharjee, Bishwaranjan and Malkemus, Tim and Cranston, Leslie and Huras, Matthew},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872835},
        url = {https://dl.acm.org/doi/10.1145/872757.872835},
        year = {2003}
}

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