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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
4846
Venue
SIGMOD
Year
2014
Pagerank
5.2788785e-05
Overall Rank
5,905 | 58.93%
DOI
10.1145/2588555.2595629

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