DocumentCode
1626744
Title
Robust Cardinality and Cost Estimation for Skyline Operator
Author
Chaudhuri, Surajit ; Dalvi, Nilesh ; Kaushik, Raghav
Author_Institution
Microsoft Research, Redmond
fYear
2006
Firstpage
64
Lastpage
64
Abstract
Incorporating the skyline operator inside the relational engine requires solving the cardinality estimation and the cost estimation problem, hitherto unaddressed. We propose robust techniques to estimate the cardinality and the computational cost of Skyline, and through an empirical comparison, show that our technique is substantially more effective than traditional approaches. Finally, we show through an implementation in Microsoft SQL Server that skyline queries can substantially benefit from our techniques.
Keywords
Computational efficiency; Costs; Data engineering; Database languages; Engines; Histograms; Robustness; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2006. ICDE '06. Proceedings of the 22nd International Conference on
Print_ISBN
0-7695-2570-9
Type
conf
DOI
10.1109/ICDE.2006.131
Filename
1617432
Link To Document