Secondary Index Optimization
Summary: Proposes a probabilistic model of transactions (queries/updates) to optimize secondary index selection. Derives optimality characterizations and an O(m log m) algorithm (m = attributes) that computes index configurations efficiently. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mario Schkolnick (Carnegie Mellon University)
BibTeX Citation
@inproceedings{schkolnick_sigmod75,
title = {{SECONDARY INDEX OPTIMIZATION}},
author = {Schkolnick, Mario},
series = {{SIGMOD} '75},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/500080.500106},
url = {https://dl.acm.org/doi/10.1145/500080.500106},
year = {1975}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,336 | Database Cost Analysis: a Top-Down Approach | 1977 | SIGMOD | 5.0723324e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|
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