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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Accelerating XML Structural Join by Partitioning
verfasst von : Nan Tang, Jeffrey Xu Yu, Kam-Fai Wong, Kevin Lü, Jianxin Li
Erschienen in: Database and Expert Systems Applications
Verlag: Springer Berlin Heidelberg
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Structural join is the core part of XML queries and has a significant impact on the performance of XML queries, several classical structural join algorithms have been proposed such as
Stack-tree
join and
XR-Tree
join. In this paper, we consider to answer the problem of structural join by partitioning. We first extend the relationships between nodes to the relationships between partitions in the plane and get some observations. We then propose a new partition-based method
P-Join
for structural join. Based on
P-Join
, moreover, we present an enhanced partitioned-based spatial structural join algorithm PSSJ.