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International Conference on Management of Data: Proceedings of the 2006 ACM SIGMOD international conference on Management of data; 27-29 June 2006, 2006, p.757-759
International Conference on Management of Data: Proceedings of the 2006 ACM SIGMOD international conference on Management of data; 27-29 June 2006, 2006, p.757-759
Ort / Verlag
ACM
Erscheinungsjahr
2006
Link zum Volltext
Quelle
ACM Digital Library
Beschreibungen/Notizen
Although approximate query processing is a prominent way to cope with the requirements of data analysis applications, current database systems do not provide integrated and comprehensive support for these techniques. To improve this situation, we propose an SQL extension---called SQL/S---for approximate query answering using random samples, and present a prototypical implementation within the engine of the open-source database system Derby---called Derby/S. Our approach significantly reduces the required expert knowledge by enabling the definition of samples in a declarative way; the choice of the specific sampling scheme and its parametrization is left to the system. SQL/S introduces new DDL commands to easily define and administrate random samples subject to a given set of optimization criteria. Derby/S automatically takes care of sample maintenance if the underlying dataset changes. Finally, samples are transparently used during query processing, and error bounds are provided. Our extensions do not affect traditional queries and provide the means to integrate sampling as a first-class citizen into a DBMS.