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Preprints of the Keldysh Institute of Applied Mathematics, 2016, 025, 18 pp. (Mi ipmp2101)  

This article is cited in 1 scientific paper (total in 1 paper)

Optimization of search queries with aggregation functions for the conditions of massive virtual integration of databases

V. N. Kovalenko, E. I. Kovalenko
Full-text PDF (815 kB) Citations (1)
References:
Abstract: The concept of virtual integration assumes that during a query execution the data from several databases are transferred via network to the integration system server where they are processed jointly. One of the possible directions of query optimization is reduction of the transmitted data amount. In this paper a method of optimization for the queries which calculate the aggregation functions of the SQL language (the sum, average et al.) is offered. Algorithms of optimizing transformation over the query execution plan and those ensuring the function evaluation directly in databases are presented. The experimental results have shown high efficiency of the proposed method.
Keywords: database integration, query optimization, aggregation functions.
Document Type: Preprint
Language: Russian
Citation: V. N. Kovalenko, E. I. Kovalenko, “Optimization of search queries with aggregation functions for the conditions of massive virtual integration of databases”, Keldysh Institute preprints, 2016, 025, 18 pp.
Citation in format AMSBIB
\Bibitem{KovKov16}
\by V.~N.~Kovalenko, E.~I.~Kovalenko
\paper Optimization of search queries with aggregation functions for the conditions of massive virtual integration of databases
\jour Keldysh Institute preprints
\yr 2016
\papernumber 025
\totalpages 18
\mathnet{http://mi.mathnet.ru/ipmp2101}
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  • https://www.mathnet.ru/eng/ipmp/y2016/p25
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
     
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