YARN和Hadoop(YARN and Hadoop)

 关于HDFS的工作提交和Hadoop中的YARN架构，我有几个问题： 
 
 因此，在Hadoop生态系统中，每个集群都有一个NameNode，它可以包含存储数据的任意数量的数据节点。 当您向Hadoop提交作业时，NameNode上的作业跟踪器将选择每个作业并将其分配给数据节点上存在该文件的任务跟踪器。 
 
 所以我的问题是YARN的组件如何在HDFS中协同工作：？ 
 
 所以YARN由NodeManager和资源管理器组成。 在这两个组件中：NodeManager是否在每个DataNode上运行，并且ResourceManager在每个群集的每个NameNode上运行？ 因此，当任务跟踪器（在每个DataNode中）从作业跟踪器（在NameNode中）分配任务时，特定数据节点中的NodeManager将创建一个容器，该容器将从NameNode中的ResourceManager请求资源。 因此，当数据节点中的任务跟踪器从NameNode中的作业跟踪器获取作业时，此资源管理器和节点管理器才会发挥作用，其中NodeManager将向ResourceManager请求资源以执行作业。 它是否正确？ 

I had a couple of questions regarding job submission to HDFS and the YARN architecture in Hadoop:
 
So in the Hadoop ecosystem you have one NameNode for each cluster which can contain any number of data nodes that store your data. When you submit a job to Hadoop, the job tracker on the NameNode will pick each job and assign it to the task tracker on which the file is present on the data node. 
 
So my question is how do the components of YARN work together in HDFS:? 
 
So YARN consists of the NodeManager and the Resource Manager. Out of these two components: Is the NodeManager run on every DataNode and the ResourceManager runs on each NameNode for each cluster? So when the task tracker (in each DataNode) gets assigned a task from the job tracker (in the NameNode), the NodeManager in a specific data node will create an container which will request resources from the ResourceManager in the NameNode. So this resource manager and node manager only come into play when a task tracker in a data node gets a job from the job tracker in the NameNode, in which the NodeManager will ask the ResourceManager for resources for the job to be executed. Is this correct?

原文：https://stackoverflow.com/questions/36253538