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Automating Physical Database Design in a Parallel Database

Summary: Automates partitioning of data in a shared-nothing parallel DB using workload-driven optimization. Integrates with the optimizer to propose and evaluate partition candidates; rank-based search outperforms random in a commercial shared-nothing system. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hdd1ad2edebb2e5e8
Venue
SIGMOD
Year
2002
Pagerank
0.00023358891
Overall Rank
243 | 98.37%
DOI
10.1145/564691.564757

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{rao_sigmod02,
        title = {{Automating Physical Database Design in a Parallel Database}},
        author = {Rao, Jun and Zhang, Chun and Lohman, Guy and Megiddo, Nimrod},
        series = {{SIGMOD} '02},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/564691.564757},
        url = {https://dl.acm.org/doi/10.1145/564691.564757},
        year = {2002}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 52 citing papers.

Rank Citing Paper Year Venue Pagerank
12,821 Declarative Management in Microsoft SQL Server 2009 VLDB 4.9793485e-05
13,136 SMART: Making DB2 (More) Autonomic 2002 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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