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Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g

Summary: One-pass distinct sampling derives table-level stats from partition-level stats, avoiding full-table scans. Oracle 11g re-gathers only changed partitions and derives table stats, becoming the first commercial implementation of this approach with notable accuracy and faster performance than 10g. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4115
Venue
SIGMOD
Year
2008
Pagerank
5.6297042e-05
Overall Rank
7,377 | 49.39%
DOI
10.1145/1376616.1376721

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chakkappen_sigmod08,
        title = {{Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g}},
        author = {Chakkappen, Sunil and Cruanes, Thierry and Dageville, Benoit and Jiang, Linan and Shaft, Uri and Su, Hong and Zait, Mohamed},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376721},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376721},
        year = {2008}
}

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