Designing a high-performance database engine for the 'Db4XML' native XML database system

  • Authors:

  • Sudhanshu Sipani;Kunal Verma;John A. Miller;Boanerges Aleman-Meza

  • Affiliations:

  • Department of Computer Science, 415 Boyd Graduate Studies Research Center, University of Georgia, Athens, GA;Department of Computer Science, 415 Boyd Graduate Studies Research Center, University of Georgia, Athens, GA;Department of Computer Science, 415 Boyd Graduate Studies Research Center, University of Georgia, Athens, GA;Department of Computer Science, 415 Boyd Graduate Studies Research Center, University of Georgia, Athens, GA

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2004

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Abstract

eXtensible Markup Language (XML) is fast becoming the common electronic data interchange language between applications. In this paper, we describe a database engine called 'Db4XML', which provides storage for XML documents in native format. Db4XML is a high performance, main memory resident database engine. Db4XML is being used as a testbed for comparing various query evaluation techniques. The use of wild card (*, ?, '//', etc.) in the path expressions of a query allows users to query documents whose structural information is not available. This paper lists different techniques that can be used to evaluate generalized path expressions (GPE) and presents a performance comparison of the same. A preliminary performance study of the effect of using concurrency control techniques on the various query evaluation techniques is also performed. This paper briefly discusses a suitable recovery technique for the database engine.