Structural Map: A New Index for Efficient XML Path Expression Processing
XML is merging as the main standard of presentation and exchange on the Internet. Various XML query languages are proposed. As a ubiquitous part of those XML query languages, path expression poses a new challenge for efficient XML query processing in database systems. In this paper, we present a new index structure, Structural Map, for efficient evaluation of path expression queries. Structural Map can be used to support path-indices as well as value-indices in an integrated manner. It is powerful to handle not only simple path expressions but also the branching path expressions and path expressions with predicates efficiently. Performance study shows the Structural Map can improve the performance of XML path expression processing significantly.
Unable to display preview. Download preview PDF.
- 1.S. Abiteboul, D. Quass, J. Mchugh, and et al. The Lore Query Language for Semistructured Data. International Journal on Digital Libraries, 1(1): 68–88, April 1997.Google Scholar
- 2.T. Bohme, E. Rahm: XMach-1: A Benchmark for XML Data Management. In Proceedings of German database conference BTW2001, Oldenburg, 7–9. March, Springer, Berlin 2001Google Scholar
- 3.J. Clark and S. Derose. XML Path Language (Xpath). In W3C Recommendation 16 November 1999, http://www.w3.org/TR/Xpath.
- 4.D. Chamberlin, D. Florescu, J. Robie, J. Simeon, and M. Stefanascu. XQuery: A query Language for XML. Technical report. World Wide Web Consortium, Feb. 2001. Available: http://www.w3.org/TR/xquery.
- 5.A. Deutsch, M. Fernandez, D. Florescu, and et al. XML-QL: A Query Language for XML. W3C Note, 1998. Available: http://www.w3.org/TR/1998/NOTE-xml-ql-19980819/
- 6.D. Florescu, D. Kossmann. A Performance Evaluation of Alternative Mapping Schemes for Storing XML Data in a Relational Database. Technical Report 3684, INRIA, March 1999.Google Scholar
- 7.R. Goldman, J. Widom: DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases. VLDB 1997: 436–445.Google Scholar
- 8.J. Han, Z. Xie, Y. Fu: Join Index Hierarchy: An Indexing Structure for Efficient Navigation in Object-Oriented Databases. TKDE 11(2): 321–337 (1999)Google Scholar
- 9.C. Kanne, G. Moerkotte, Efficient Storage of XML Data. In Proceedings of the 16th International Conference on Data Engineering, 28 February-3 March, 2000, San Diego, California, page 198.Google Scholar
- 10.A. Kemper, G. Moerkotte. Access Support in Object Bases. In Proceedings ACM SIGMOD Conference on Management of Data pages 364–374, Atlantic City, USA, May 1990.Google Scholar
- 12.T. Milo, D. Suciu: Index Structures for Path Expressions. In ICDT’99, the 7th International Conference, Jerusale,,Israel, pages 277–295, 1999.Google Scholar
- 13.J. McHugh, J. Widom: Query Optimization for XML. VLDB 1999: 315–326Google Scholar
- 14.S. Nishioka, M. Onizuka: Mapping XML to Object Relational Model. International Conference on Internet Computing (1) 2001: 171–177Google Scholar
- 15.J. Shanmugasundaram, K. Tufte, C. Zhang, and et al. Relational Databases for Querying XML Documents: Limitations and Opportunities. In Proceedings of the 25th International Conference on Very Large Databases, Edinburgh, Scotland, September 1999.Google Scholar
- 16.F. Tian, D. J. DeWitt, J. Chen, C. Zhang, The Design and Performance Evaluation of Alternative XML Storage Strategies. to appear in SIGMOD Record special issue on “Data Management Issues in E-commerce”, March 2002.Google Scholar
- 18.A. Zhou, H. Lu, S. Zheng, and et al. VXMLR: A Visual XML-Relational Database System, In Proceedings of the International Conference on Very Large Data Bases (VLDB), Roma, Italy, Sept. 2001.Google Scholar