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ETD Abstract Container

Abstract Header

A Performance Study of XML Query Optimization Techniques

Richardson, Bartley D.
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258475256

Abstract Details

2009, PhD, University of Cincinnati, Engineering : Computer Science and Engineering.
As computers and technology continue to become more commonplace and essential to everyday life, more data is captured, stored, and analyzed by a variety of institutions in government, education, and the private sector. As this amount of data grows, so does the need for efficient methodologies and tools used to store, retrieve, and transform the data. A common method used to store this schemaless, semi-structured data is through the Extensible Markup Language, XML. In this way, an XML document is viewed as a database. With this sizable amount of data stored in a common format, one problem is how to efficiently query XML documents. While relational database man- agement systems contain built-in query optimizers, no such framework exists for XML databases. A multitude of document shapes, query shapes, index structures, and query techniques exist for XML databases, but the implications of these choices and their effects on query processing have not been investigated in a common framework. This dissertation identifies a set of representative query techniques, document structures, and query styles for XML databases and provides a com- mon framework for classifying the various query techniques, structures, and styles. We identify two broad classifications of query techniques, native XML and non-native XML, and develop a cost-based model for each technique that models query performance from an execution standpoint. We also develop our own query technique, RDBQuery, as an extension and major enhancement to a previously existing non-native XML query technique that leverages a relational database man- agement system to efficiently process XML queries. To evaluate relative query performance, we compare the techniques for various parameters that impact their performance, including query shape and document shape/size, and the results are presented through a series of graphs. These graphs and their underlying cost models are used to present an optimization framework for XML queries, and this provides the essential foundation in development of an integrated cost-based XML query optimizer.
Karen Davis, PhD (Committee Chair)
Raj Bhatnagar, PhD (Committee Member)
John Schlipf, PhD (Committee Member)
Fred Annexstein, PhD (Committee Member)
Hsiang-Li Chiang, PhD (Committee Member)
279 p.
Computer Science
XML; query; optimization

Recommended Citations

Citations

  • Richardson, B. D. (2009). A Performance Study of XML Query Optimization Techniques [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258475256

    APA Style (7th edition)

  • Richardson, Bartley. A Performance Study of XML Query Optimization Techniques. 2009. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258475256.

    MLA Style (8th edition)

  • Richardson, Bartley. "A Performance Study of XML Query Optimization Techniques." Doctoral dissertation, University of Cincinnati, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258475256

    Chicago Manual of Style (17th edition)

ucin1258475256
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© 2009, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.