Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects
Summary: First implementation-focused study of spatial statistics in a commercial GIS (Oracle Spatial and Graph) for complex geometry objects. Proposes a main-memory approach that improves partitioning-based methods by leveraging existing R-trees to yield accurate selectivity, supported by extensive Oracle performance experiments. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Bhuvan Bamba (Oracle)
- 2. Siva Ravada (Oracle)
- 3. Ying Hu (Oracle)
- 4. Richard Anderson (Oracle)
BibTeX Citation
@article{bamba_vldb13,
title = {{Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects}},
author = {Bamba, Bhuvan and Ravada, Siva and Hu, Ying and Anderson, Richard},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {11},
pages = {1021--1032},
doi = {10.14778/2536222.2536229},
url = {https://doi.org/10.14778/2536222.2536229},
year = {2013}
}
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