Abstract
The query evaluation algorithms of practically all XML management systems are based on structural joins, i.e., operations which determine all occurrences of parent/child, ancestor/descendant, preceding/following etc. relationships between node sets. In this paper, we present a simple method for accelerating structural joins which is very easy to implement on different platforms. Our idea is to split the nodes into disjoint partitions and use this information to avoid unnecessary structural joins. Despite its simplicity, our proposal can considerably accelerate XPath evaluation on different XML management systems. To exemplify this, we describe two implementation options of our method - one built from the scratch and one based on a relational database - and present the results of our experiments.
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References
W3C (World Wide Web Consortium): Extensible Markup Language (XML) 1.0, http://www.w3c.org/TR/REC-xml/
W3C (World Wide Web Consortium): XML Path Language (XPath) 2.0, http://www.w3c.org/TR/xpath20/
W3C (World Wide Web Consortium): XQuery 1.0: An XML Query Language, http://www.w3c.org/TR/xquery/
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Luoma, O. (2008). Efficient Queries on XML Data through Partitioning. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2007. Lecture Notes in Business Information Processing, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68262-2_8
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DOI: https://doi.org/10.1007/978-3-540-68262-2_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68257-8
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