SQL/XML Performance Analysis of Parent/Ancestor Queries

  • Authors:

  • Eric Pardede;J. Wenny Rahayu;David Taniar;Ramanpreet Kaur Aujla

  • Affiliations:

  • Department of Computer Science and Computer Engineeering, LaTrobe University, Bundoora, Australia 3086;Department of Computer Science and Computer Engineeering, LaTrobe University, Bundoora, Australia 3086;Clayton School of IT, Monash University, Clayton, Australia 3800;Department of Computer Science and Computer Engineeering, LaTrobe University, Bundoora, Australia 3086

  • Venue:
  • ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
  • Year:
  • 2008

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Abstract

The fact that XML data can be stored in different repositories creates a layer of complexity in efficient XML query processing. Most existing works discussed the query analysis for Native XML Database using XML Query Language such as XQuery and XPath. However, it is inevitable that many XML users still use established database repositories, such as relational and object-relational database, for their XML storage (called XML-Enabled Database), and an extended SQL, such as SQL/XML, for their query processing. Query analysis using SQL/XML on the XML-Enabled Database System family has not been well-researched. In this paper, we present our research on parent/ancestor XML queries using the SQL/XML standard.