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Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA

Summary: Proposes q-error-bounded histograms with a cardinality threshold θ to speed up query-plan estimates. Leverages SAP HANA's order-preserving dictionary encoding for fast θ,q-acceptability tests; yields sub-second histogram construction and ~5% storage. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4908
Venue
SIGMOD
Year
2014
Pagerank
6.1189424e-05
Overall Rank
5,693 | 60.95%
DOI
10.1145/2588555.2595629

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{moerkotte_sigmod14,
        title = {{Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA}},
        author = {Moerkotte, Guido and DeHaan, David and May, Norman and Nica, Anisoara and Boehm, Alexander},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2595629},
        url = {https://dl.acm.org/doi/10.1145/2588555.2595629},
        year = {2014}
}

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