Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse
Summary: Lattice-path clustering for fact tables under a workload; dynamic programming computes the optimal lattice-path clustering in time linear in lattice size. Snaking yields near-optimal snaked clustering; for star schemas, a snaked lattice path is globally optimal with guarantees and TPC-D validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. H. V. Jagadish (AT&T; University of Illinois Urbana-Champaign)
- 2. Laks V. S. Lakshmanan (AT&T; Concordia University; Indian Institute of Technology Mumbai)
- 3. Divesh Srivastava (AT&T)
BibTeX Citation
@inproceedings{jagadish_sigmod99,
title = {{Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse}},
author = {Jagadish, H. V. and Lakshmanan, Laks V. S. and Srivastava, Divesh},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304186},
url = {https://dl.acm.org/doi/10.1145/304182.304186},
year = {1999}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,606 | Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing | 2014 | VLDB | 0.00010228576 |
| 6,879 | Oracle8i Index-Organized Table and its Application to New Domains | 2000 | VLDB | 5.7475732e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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