欢迎来到天天文库
浏览记录
ID:37360763
大小:2.64 MB
页数:77页
时间:2019-05-22
《数据仓库物化视图在线算法研究》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、东南大学博士学位论文数据仓库物化视图在线算法研究姓名:张柏礼申请学位级别:博士专业:计算机应用技术指导教师:孙志挥20050701AbstractAdatewarehouseisadatarepository,whichcollectsandmaintainsalargemountofdatafrommullipledism'buted,autonomousandpossiblyheterogeneousdatasoIM.Oftenthedataisstoredintheformofmaterializedview3forthepurposeefficientlyimpl
2、ementingdccision-suppo仳orOLAPqueries.Firstly,theselectionofviewsformaterializationisoneofthemostissuesinthedesigndatewarehouse,it’sgoalistoselect∞appropriatesetofviewsthatminimizestotalqueryresponsetimeand/orthecostofmaintainingtheselectedviews,givonalimitedamountofrasonsce,e.g.,storagesp
3、ace,materializationtime,ortotalviewmaIntanancetime.Secondly,maintaininglotsofmaterializedviewsischallenging.especiallyffthedatasources2reautonomousandviewsofthedataatthedatawarehousespanmultiplesoume“q.Theviewshavetobemaintainedintimetoreflecttheupdatesdoneagainstthebaserelationsstoredatt
4、hevariousdatesources.n圮e伍cientmaintenanceofmaterializedviewshasbecomeanotherimportantresearchiss∞.Theusualmethodsis廿扭tthematerializedviewsaraselectedandmaintainedoffline。forexample,thestaticselectionalgorithmofviewisemployedtogenerateorregeneratethematerializedviewset,andbatchupdatepolicy
5、isusedtomaintainthematnight,However,wheremtheamountofdataenteringawerchousc,thequeryloads,andtheneedtoobtain叩-to-dateresponsesareauincreasing,the‘'night"’timeavailableformakingthewarehouseup-to-dateisshrinking.Theseu'andsnecessitateefficientonlinealgorithmsformaterializedviews.Inthispaper
6、,itisemphasizedtomakedeeperresearchontheselectionalgorithmsandmaintenancealgorithmsofmaterializedviewsduringthedatawarehouseon-line.Themaincontributionsofthisdissertationareasfollows:(1)Tosolvetheshortageofthestaticselectionalgorithmofmaterializedview,thepaperpresentsPMVS.preprocessorofma
7、terializedviewselectionapproach.PMVSmakesu∞ofthequerysparsenessanddatasparsenassinmulti-dimensionaldatasets,andreducesthetimecomplex(searchspacc)ofthestaticselectionalgorithm,Sothecostofstaticalgorithmsonspaceandtimecanbecutdowntofitforonlinedemand.(2)Preseataimprov
此文档下载收益归作者所有