《HadoopMapReduceV2参考手册（第2版影印版英文版）》开篇介绍了HadoopYARN、MapReduce、HDFs以及其他Hadoop生态系统组件的安装。在《HadoopMapReduceV2参考手册（第2版影印版英文版）》的指引下，你很快就会学习到很多激动人心的主题，例如MapReduce模式，使用Hadoop处理分析、归类、在线销售、推荐、数据索引及搜索。你还会学习到如何使用包括Hive、HBase、Pig、Mahout、Nutch~BGiraph在内的Hadoop生态系统项目以及如何在云环境下进行部署。 PrefaceChapter1：GettingStartedwithHadooov2IntrOductiOnSettingupHadoopv2onyourlocalmachineWritingaWordCountMapReduceapplication，bundlingitandrunningitusingtheHadooplocalmodeAddingacombinersteptotheWordCountMapReduceprogramSettingupHDFSSettingupHadoopYARNinadistributedclusterenvironmentusingHadoopv2SettingupHadoopecosysteminadistributedclusterenvironmentusingaHadoopdistributionHDFScommand-linefileoperationsRunningtheWordCountprograminadistributedclusterenvironmentBenchmarkingHDFSusingDFSIOBenchmarkingHadoopMapReduceusingTeraSortChapter2：CloudDeployments—UsingHadoopYARNonCloudEnvironmentsIntroductionRunningHadoopMapReducev2computationsusingAmazonElasticMapReduceSavingmoneyusingAmazonEC2SpotInstancestoexecuteEMRjobflowsExecutingaPigscriptusingEMRExecutingaHivescriptusingEMRCreatinganAmazonEMRjobflowusingtheAWSCommandLineInterfaceDeployinganApacheHBaseclusteronAmazonEC2usingEMRUsingEMRbootstrapactionstoconfigureVMsfortheAmazonEMRjobsUsingApacheWhirrtodeployanApacheHadoopclusterinacloudenvironmentChapter3：HadoopEssentials—C0nfigurations，UnitTests，andOtherAPIsIntroductionOptimizingHadoopYARNandMapReducecOnfiguratiOnsforclusterdeploymentsShareduserHadoopclusters—-usingFairandCapacityschedulersSettingclasspathprecedencetouser-providedJARsSpeculativeexecutionofstragglingtasksUnittestingHadoopMapReduceapplicationsusingMRUnitIntegrationtestingHadoopMapReduceapplicationsusingMiniYarnClusterAddinganewDataNodeDecommissioningDataNodesUsingmultipledisks／volumesandlimitingHDFSdiskusageSettingtheHDFSblocksizeSettingthefilereplicationfactorUsingtheHDFsJavaAPIChapter4：Develooin~ComDlexHadoooMaoReduceAoolicationsIntrOductiOnChoosingappropriateHadoopdatatypesImplementingacustomHadoopWritabledatatypeImplementingacustomHadoopkeytypeEmittingdataofdifferentvaluetypesfromaMapperChoosingasuitableHadoopInputFormatforyourinputdataformatAddingsupportfornewinputdataformats——implementingacustomInputFormatFormattingtheresultsofMapReducecomputations——usingHadoopOutputFormatsWritingmultipleoutputsfromaMapReducecomputationHadoopintermediatedatapartitioningSecondarysorting——sortingReduceinputvaluesBrOadcastinganddistributingsharedresourcestotasksinaMapReducejob—HadoopDistributedCacheUsingHadoopwithlegacyapplications—-HadoopstreamingAddingdependenciesbetweenMapReducejobsHadoopcounterstoreportcustommetricsChapter5：AnalvticsIntroductionSimpleanalyticsusingMapReducePerformingGROUPBYusingMapReduceCalculatingfrequencydistributionsandsortingusingMapReducePlottingtheHadoopMapReduceresultsusinggnuplotCalculatinghistogramsusingMapReduceCalculatingScatterplotsusingMapReduceParsingacomplexdatasetwithHadoopJoiningtwodatasetsusingMapReduceChapter6：HadoooEcosystem—Apach