Improving Performance with Bulk-Inserts in Oracle R-Trees

Summary: Novel bulk-insertion technique for R-Trees enabling fast batch loads while preserving index quality. Integration into Oracle 10i demonstrates 50-90% faster inserts on real datasets, highlighting practical gains for spatial data management. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 9037
Venue: VLDB
Year: 2003
Pagerank: 4.1945683e-05
Overall Rank: 12,628 | 12.15%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
2	R-Trees: A Dynamic Index Structure For Spatial Searching	1984	SIGMOD	0.0032169493
6	The R*-tree: An Efficient and Robust Access Method for Points and Rectangles	1990	SIGMOD	0.0016162015
9,017	Indexing Medium-dimensionality Data in Oracle	1999	SIGMOD	4.4091374e-05

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