Efficient Execution of Range Top-k Queries in Aggregate R-Trees

Seokjin HONG
Bongki MOON
Sukho LEE

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E88-D    No.11    pp.2544-2554
Publication Date: 2005/11/01
Online ISSN: 
DOI: 10.1093/ietisy/e88-d.11.2544
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Database
Keyword: 
spatial database,  data warehouse,  range top-k query,  aggregate R-tree,  

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Summary: 
A range top-k query returns the topmost k records in the order set by a measure attribute within a specified region of multi-dimensional data. The range top-k query is a powerful tool for analysis in spatial databases and data warehouse environments. In this paper, we propose an algorithm to answer the query by selectively traversing an aggregate R-tree having MAX as the aggregate values. The algorithm can execute the query by accessing only a small part of the leaf nodes within a query region. Therefore, it shows good query performance regardless of the size of the query region. We suggest an efficient pruning technique for the priority queue, which reduces the cost of handling the priority queue, and also propose an efficient technique for leaf node organization to reduce the number of node accesses to execute the range top-k queries.

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