hadoop-數(shù)據(jù)挖掘研究組

hadoop-數(shù)據(jù)挖掘研究組

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時間:2019-07-27

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1、HadoopIntroducing InstallationandConfiguration數(shù)據(jù)挖掘研究組DataMiningGroup@XiamenUniversityADistributeddata-intensiveProgrammingFrameworkHDFSMapReduceHadoopDistributedstorageParallelcomputing數(shù)據(jù)挖掘研究組DataMiningGroup@XiamenUniversityIntroducingtoHDFSHadoopDistributedFileSystem(HDFS)Anopen-sourceimp

2、lementationofGFShasmanysimilaritieswithdistributedfilesystems.However,comesdifferenceswithit.HDFSishighlyfault-tolerantandisdesignedtobedeployedonlow-costhardware.HDFSprovideshighthroughputaccesstoapplicationdataandissuitableforapplicationsthathavelargedatasets.數(shù)據(jù)挖掘研究組DataMiningGroup@Xiame

3、nUniversityHowitworks?FeaturesofitAnimportantfeatureofthedesign:dataisnevermovedthroughthenamenode.Instead,alldatatransferoccursdirectlybetweenclientsanddatanodes數(shù)據(jù)挖掘研究組DataMiningGroup@XiamenUniversityMapReduce?Let’stalkitnexttime………數(shù)據(jù)挖掘研究組DataMiningGroup@XiamenUniversity“RunningHadoop?” W

4、hatmeansforit?“RunningHadoop”meansrunningasetofdaemons.NameNodeDataNode SecondaryNameNodeJobTrackerTaskTracker數(shù)據(jù)挖掘研究組DataMiningGroup@XiamenUniversityWhoWorksforwho?HDFSMapReduceHadoopNameNodeSecNDTaskTrackerJobTrackerDataNodeNameNodeHadoopemploysamaster/slavearchitectureforbothdistributeds

5、torageanddistributedcomputation.NameNodeisthemasterofHDFSthatdirectstheslaveDataNodedaemonstoperformthelow-levelI/OtasksNameNodeisthebookkeeperofHDFSkeepstrackofhowyour?lesarebrokendowninto?leblockskeepstrackoftheoverallhealthofthedistributed?lesystemDataNodereadingandwritingHDFSblocksforc

6、lientscommunicatewithotherDataNodestoreplicateitsdatablocksforredundancy數(shù)據(jù)挖掘研究組DataMiningGroup@XiamenUniversityNameNodeandDataNodeSecondaryNameNodeSNNisanassistantdaemonformonitoringthestateoftheclusterHDFSdiffersfromtheNameNodeinthatthisprocessdoesn’treceiveorrecordanyreal-timechangestoHD

7、FScommunicateswiththeNameNodetotakesnapshotsoftheHDFSmetadataRecovery:NameNodefailure????Werecon?guretheclustertousetheSNNastheprimaryNameNodeJobTrackertheliaisonbetweenyourapplicationandHadoopsubmityourcodetoyourcluster,theJobTrackerdeterminestheexecutionplan

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