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Improved Query Performance with Variant Indexes

Summary: Reviews read-mostly indexing tech and proposes two variant indexes: Projection indexing (column values in RID order) and Bit-Sliced (bitwise view). Shows targeted performance gains over conventional indexes for certain aggregations, predicates, and multi-dimensional group-by queries, including a novel OLAP-like grouping method. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2995
Venue
SIGMOD
Year
1997
Pagerank
0.00033932213
Overall Rank
104 | 99.29%
DOI
10.1145/253260.253268

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{oneil_sigmod97,
        title = {{Improved Query Performance with Variant Indexes}},
        author = {O'Neil, Patrick and Quass, Dallan},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253268},
        url = {https://dl.acm.org/doi/10.1145/253260.253268},
        year = {1997}
}

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