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ID:34029114
大小:3.28 MB
页数:64页
时间:2019-03-03
《improving+materialized+view+selection+under+storage+constraint》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、AbstractDatawarehousingandon-lineanalyticalprocessing(otAP)haveincreasinglybecomeacenterofthedatabaseindustry.Theabilityandtheinsurancethatthey西VetocompaniesfortheSuccessoftheiractivitiesategreatlyimproved.Animportantissueindatawarehousedevelopmentisth
2、eselectionofasetofviewstomaterializeinordertoaccelerateOnlineanalyticalprocessingqueries,givencertainspaceandmaintenancetimeconstraints.Ontheotherhand,thematerializedviews(MV)selectionproblemisanNP-·complete;thenumberofpossiblesummary··viewsinthemulti·
3、-dimensional(MD)modelincreasesexplosivelywiththeincreasingnumberofdimensionalattributes.Thehighstoragecostandcomputationcostmakeitunfeasibleforanysystemtomaterializeallofthesepossibleviews.Thus,precisingthesummary-viewsformaterializationbecomesanessent
4、ialchallengeinOLAPresearch.Tosolvethisproblemofsummary—viewsexplosionandstoragecost,wesupplyanimprovedgreedyalgorithmforselectingbestviewsformaterializationbasedontheirweights.Givenaspaceconstraintforthematerializedset,thealgorithmpicksaviewwiththemaxi
5、mumBenefitPerUnitSpace(BPUS)tomaterializefromthecandidateviewset.Afteraperiodoftime(preciselyatthemaintenancetime),andgivinganewqueryfrequencyforeachview,thealgorithmdeterminetheviewtoberemovedfromthematerializedviewset.Logicallyspeakingthoseviewremove
6、dareviewsthatarelessusefultothedatawarehouse.Thefinalstepistofillthespaceleftbytheremovedviewwiththeothernewoneuntiltheoptimalmaterializedviewsetisreached.Duringtheexperimentofthisalgorithm,weobservethattheafteraperiodoftime,somematerializedviewweights
7、(BPUS)becomeverythinwhileothercandidateviewfromthecandidateviewsetarehavingmoreimportant.Thisnewmethodprovidesawaytosolvethisproblemofuselessmaterializedview.Wethinkthisworkwillcontributegreatlyintheimprovingtheefficiencyofmaterializedviewsusageintheda
8、tawarehouseusage.Keywords:DataWarehouses;OLAP;Cube;MaterializedViewSelection;IIIMASTER’STHESiSLISTOFFIGURESFigurelStarschema⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯.⋯.⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯..3Figure2ASnowflakeSchema⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯.⋯⋯⋯⋯⋯..4Figure3AT
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