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Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 1165-1168
Andreas M. Weiner , Department of Computer Science, Databases and Information Systems Group, University of Kaiserslautern, P. O. Box 3049, 67653, Germany
Theo Harder , Department of Computer Science, Databases and Information Systems Group, University of Kaiserslautern, P. O. Box 3049, 67653, Germany
Renato Oliveira da Silva , Department of Computer Science, Databases and Information Systems Group, University of Kaiserslautern, P. O. Box 3049, 67653, Germany
ABSTRACT
Developing a full-fledged cost-based XQuery optimizer is a fairly complex task. Nowadays, there is little knowledge concerning suitable cost formulae and optimization strategies for exploring and constraining the tremendously large search space. To allow for a fair assessment of different optimization strategies, physical algebra operators, and indexing approaches, we developed an extensible optimization framework. The framework is accompanied by a supportive visual explain tool that enables user interactions to refine the inspection and the comprehension of the query plans proposed. Using this tool, the optimizer can be dynamically reconfigured and the impact of different optimization strategies on the final query execution plan can be immediately visualized.
CITATION
Andreas M. Weiner, Theo Harder, Renato Oliveira da Silva, "Visualizing cost-based XQuery optimization", ICDE, 2010, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2010, pp. 1165-1168, doi:10.1109/ICDE.2010.5447784
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