DocumentCode :
2080607
Title :
Evaluating skylines in the presence of equijoins
Author :
Jin, Wen ; Morse, Michael D. ; Patel, Jignesh M. ; Ester, Martin ; Hu, Zengjian
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2010
fDate :
1-6 March 2010
Firstpage :
249
Lastpage :
260
Abstract :
When a database system is extended with the skyline operator, it is important to determine the most efficient way to execute a skyline query across tables with join operations. This paper describes a framework for evaluating skylines in the presence of equijoins, including: (1) the development of algorithms to answer such queries over large input tables in a non-blocking, pipeline fashion, which significantly speeds up the entire query evaluation time. These algorithms are built on top of the traditional relational Nested-Loop and the Sort-Merge join algorithms, which allows easy implementation of these methods in existing relational systems; (2) a novel method for estimating the skyline selectivity of the joined table; (3) evaluation of skyline computation based on the estimation method and the proposed evaluation techniques; and (4) a systematic experimental evaluation to validate our skyline evaluation framework.
Keywords :
query processing; relational databases; database system; equijoins presence; estimation method; nested-loop join algorithms; relational systems; skyline computation; skyline evaluation; skyline query; skyline selectivity estimation; sort-merge join algorithms; Buildings; Costs; Database systems; Pipelines; Query processing; Recruitment; Remuneration; Statistical distributions; Visual databases; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2010 IEEE 26th International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-5445-7
Electronic_ISBN :
978-1-4244-5444-0
Type :
conf
DOI :
10.1109/ICDE.2010.5447841
Filename :
5447841
Link To Document :
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