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Query Processing Method for Multi-Attribute Clustered Relations

Summary: Proposes a wave-based query processing method for multi-attribute clustered relations, reducing I/O by grouping unordered pages into memory-sized, ordered waves. KD-tree and Grid-file experiments demonstrate near-one-scan I/O efficiency and outperform naive single-attribute approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7932
Venue
VLDB
Year
1990
Pagerank
7.6279403e-05
Overall Rank
3,064 | 78.69%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
148 Efficient Processing of Spatial Joins Using R-trees 1993 SIGMOD 0.00041182766
925 Partition Based Spatial-Merge Join 1996 SIGMOD 0.00015264328
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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