XML Prefiltering as a String Matching Problem

  • Authors:
  • Christoph Koch;Stefanie Scherzinger;Michael Schmidt

  • Affiliations:
  • Saarland University Database Group, Saarbrücken, Germany. koch@infosys.uni-sb.de;Saarland University Database Group, Saarbrücken, Germany. scherzinger@infosys.uni-sb.de;Saarland University Database Group, Saarbrücken, Germany. mschmidt@informatik.uni-freiburg.de

  • Venue:
  • ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
  • Year:
  • 2008

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Abstract

We propose a new technique for the efficient search and navigation in XML documents and streams. This technique takes string matching algorithms designed for efficient search in flat strings into the second dimension to navigate in tree structured data. We consider the important XML data management task of prefiltering XML documents (also called XML projection) as an application for our approach. Different from existing prefiltering schemes we usually process only fractions of the input and get by with very economical consumption of both main memory and processing time. Our experiments reveal that already on low-complexity problems such as XPath filtering inmemory query engines can experience speed-ups by two orders of magnitude.