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  4. BatWAn: A Binary and Multi-way Query Plan Analyzer
 
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2017
Conference Paper
Title

BatWAn: A Binary and Multi-way Query Plan Analyzer

Abstract
The majority of existing SPARQL query engines generate query plans composed of binary join operators. Albeit effective, binary joins can drastically impact on the performance of query processing whenever source answers need to be passed through multiple operators in a query plan. Multi-way joins have been proposed to overcome this problem; they are able to propagate and generate results in a single step during query execution. We demonstrate the benefits of query plans with multi-way operators with BatWAn, a binary and multi-way query plan analyzer. Attendees will observe the behavior of multi-way joins on queries of different selectivity, as well as the impact on total execution time, time for the first answer, and continuous results yield over time. The demo is available at: http://ec2-34-212-221-44.us-west-2.compute. amazonaws.com:9000/.
Author(s)
Galkin, Mikhail  
Vidal, Maria-Esther  
Mainwork
ISWC 2017 Posters & Demonstrations and Industry Tracks. Proceedings. Online resource  
Conference
International Semantic Web Conference (ISWC) 2017  
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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