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hadoop2之YARN

 
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YARN资源管理系统
产生背景:
    1.源于MRV1的几个缺陷
      单点故障、扩展性受限、难以支持MR以外的计算
    2.多种计算框架各自为战,难以数据共享
      MR离线计算框架、Storm实时/流式计算框架、Spart内存计算框架
基本架构
    1.ResourceManager (整个集群只有一个,负责集群资源的统一管理与调度)
      处理客户端请求、启动/监控ApplicationMaster、监控NodeMager、资源分配与调度
    2.NodeManager(整个集群有多个, 负责单节点资源管理与使用)
      单个节点上资源管理、处理来自RM与ApplicatoinMaster的命令
      //容错:失败后RM将失败任务告诉对应的AM,AM决定如何处理失败的任务
        RM将资源分配给AM,AM将资源进一步分配给各个Task

    3.ApplicationMaster(每个应用程序有一个,负责应用程序的管理)
      数据切分、为应用程序申请资源、并分配给内部任务、任务监控与容错
      //容错:失败后,由RM负责重启;AM需处理内部任务的容错问题;RMAppMaster会保存已经运行完成的Task,重启后无需重新运行
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