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dc.contributor.authorLien, Yao-Nan
dc.contributor.authorHu, Gillin
dc.contributor.authorChiou, Chian-Yuan
dc.date.accessioned2009-08-23T04:38:54Z
dc.date.accessioned2020-05-25T06:26:58Z-
dc.date.available2009-08-23T04:38:54Z
dc.date.available2020-05-25T06:26:58Z-
dc.date.issued2006-10-24T01:38:54Z
dc.date.submitted1996-12-19
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2368-
dc.description.abstractIn relational databases, a composition requires there operations:join, projection and duplicate elimination. An external sort is required to eliminate duplicates in a large file. Both join and external sort are expensive because they incur a nonlinear I/O overhead. Most conventional composition algorithms take join and duplicate elimination as separate operations to achieve savings on either operation but not both. Direct composition algorithms outperform all these algorithms by executing the composition as a single primitive. In this paper, we show that direct composition can even outperform its component operation, the join operation, when there is a high degree of duplication after join and projection operations. The result can encourage the correct implementation of join operation to preserve the integrity of relational data model in real DBMSs where duplicate tuples are usually not removed.
dc.description.sponsorship中山大學,高雄市
dc.format.extent8p.
dc.format.extent523547 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries1996 ICS會議
dc.subjectDatabase
dc.subjectcomposition
dc.subjectjoin
dc.subjectduplicate elimination
dc.subject.otherJoin Algorithms
dc.titleA Comparison of Composition and Join Operations
分類:1996年 ICS 國際計算機會議

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