• This node doesn't have to be a master node.

    这个节点不必是主节点。

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  • Last, announce this node as the master node in the cluster: tyd.

    最后,声明这个节点是集群中的主节点:tyd。

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  • The master node assembles the results, further distributes work, and so on.

    主节点收集结果,并继续分发任务,依此类推。

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  • In a typical setup, the master node is where the applications are initiated.

    在典型的设置中,应用程序在主节点上开始运行。

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  • Figure 15 shows a summary of what has been configured for the Hadoop Master node.

    图15显示了HadoopMaster节点的配置内容的摘要。

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  • In such a cluster, apart from the master node, you don't need to run a GUI on the slaves.

    在这类集群中,除了主节点以外,不需要在从节点上运行GUI。

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  • The worker node processes that smaller task, and passes the answer back to the master node.

    工作者节点处理这些小任务,把结果返回给主节点。

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  • Then you can define the master replicate using -m option to specify the master node as g_pkcdr.1.

    然后可以使用- m选项定义主复制,将主节点指定为g_pkcdr . 1。

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  • Heartbeat is configured to switch over to the backup node if the master node happens to go down.

    Heartbeat的配置是当主节点偶然宕机时切换到备份节点。

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  • Therefore, in this example the same data center chosen for the Master node (Markham, Canada) is used.

    因此,这个示例中使用了为主节点(Markham,Canada)选择的相同数据中心。

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  • It works in unattended mode so its operation is fully controlled by the master node (using Linux).

    它以自动的方式工作,其操作由主节点(使用Linux)完全控制。

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  • The master node must have connectivity with all the servers in the Enterprise Replication topology.

    主节点必须和EnterpriseReplication拓扑中的所有服务器相连接。

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  • In this example, the IP address that was assigned to this Hadoop Master node instance is 170.224.193.137.

    在这个示例中,指定给这个HadoopMaster节点实例的IP地址是170.224.193.137。

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  • Hadoop's Name node and Job tracker reside on the master node and might not need scaling at this stage.

    Hadoop的命名节点和工作跟踪器贮存在主节点上,在这个阶段可能并不需要扩充。

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  • In the map step, the document is taken by the master node and the problem is divided into subproblems.

    在map步骤中,由主节点接收文档并将问题划分为多个子问题。

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  • For all the other Settings, keep the defaults or choose the same values as you did for the Hadoop Master node.

    对于所有其他设置,保留其默认值或者选择与HadoopMaster节点相同的值。

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  • During failover, one of the children becomes the master node and all replication starts flowing from that node.

    在故障恢复过程中,其中一个子节点会成为主节点,而所有复制将从该节点开始。

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  • You should now have all the components necessary to handle a failure of the master node, if it should occur.

    现在您就已经拥有了处理主节点故障(如果它会发生)所需要的所有组成部分。

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  • The — master option (-m) requires you to specify the master node where the master table dictionary is located.

    master选项(- m)要求指定主表字典所在的主节点。

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  • This paper detailedly introduces the expander node configuration method and the master node software design method.

    详细介绍扩展节点的配置方法和主节点的软件设计方法。

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  • There is a slight chance that each node will need to be rebooted while working on a job submitted by the master node.

    各个节点在执行主节点所提交的作业时,需要重新引导的机率较小。

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  • This command USES the master dictionary created while using the master node specified with the CDR define template command.

    该命令使用在使用由cdrdefinetemplate命令指定的主节点时创建的主字典。

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  • This example presents a simple ha cluster that consists of three nodes: a master node, a backup node, and a management node.

    本例描述了一个简单的ha集群,由三个节点构成:一个主节点,一个备份节点,以及一个管理节点。

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  • These subproblems are then distributed to worker nodes, which solve the problem and return the results to the master node.

    然后将这些子问题发布给工作节点,由它处理后再将结果返回给主节点。

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  • If you provision one or more Hadoop Data nodes in addition to the Hadoop Master node, you are working in fully distributed mode.

    如果除了HadoopMaster节点之外,您还提供了一个或多个HadoopData节点,那么您是在完全分布模式下工作。

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  • If you only provision a Hadoop Master node, and therefore only work on that single node, you are working in pseudo-distributed mode.

    如果您只提供一个HadoopMaster节点,那么只能在一个节点上工作,即在伪分布模式下工作。

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  • In the Map process, the master node takes the input, divides it up into smaller sub-tasks, and distributes those to worker nodes.

    在映射过程中,主节点接收输入,把输入分割为更小的子任务,然后把这些子任务分布到工作者节点。

    youdao

  • It is assumed that the Hadoop slave node has been configured a priori in such a manner that it registers with the Hadoop master node.

    这里假设Hadoop从节点已经在之前配置完成,也就是它已经注册到Hadoop主节点中。

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  • OpenMosix doesn't require the first node initiated to be a master node, but just to keep things straight, set up the master node first.

    openMosix并不要求将第一个节点初始化为主节点,不过,为了直观,首先要建立主节点。

    youdao

  • OpenMosix doesn't require the first node initiated to be a master node, but just to keep things straight, set up the master node first.

    openMosix并不要求将第一个节点初始化为主节点,不过,为了直观,首先要建立主节点。

    youdao

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