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  • YARN源码分析(二)-----ResourceManager中的NM节点管理

    前言

    继上一篇文章讲述完ApplicationMaster的相关用法,核心主题都是围绕着2个字"应用",当然在RM中还有另外一项比较重要的服务也很重要,他就是节点管理服务,在RM中是如何维系管理多个节点,对于应用管理的话,在RM中已经有了ApplicationMasterService这个服务对象了,那么对应于节点NodeManager来说,难道叫做NodeManagerService吗,听起来非常顺,其实他叫做?ResourceTrackerService,当然名称叫什么都无所谓啦,他扮演的功能就是类似于节点NodeManager大管家的角色了.OK,在这里我们就以NodeManager管理为核心线索,逐步分析RM在此方面的设计思想.


    相关涉及类

    在分析之前,还是需要了解一下相关类,在阅读本篇文章之前,可以建议大家阅读我的上一篇文章ApplicationMaster文章的分析,因为NM和AM管理许多思想共同,也有共同的父类,比如AbstractService这样的抽象服务类.下面是我归纳出的几个类.

    1.NodeManager.java--节点管理类,这个类是yarn-resourcemanager包中的类,不是yarn-nodemanager中的同名类,这个类是本篇文章的核心角色类,

    2.NodesListManager--节点列表管理类,这个类中管理了类似黑名单,白名单的节点列表形式。

    3.NMLivelinessMonitor--节点存活状态监控线程类,与之前的AMLivelinessMonitor线程的原理类似,最简单的心跳更新检查。

    4.ResourceTrackerService--节点服务管理对象,负责与各个NodeManager通信。包括NM在此服务上的注册请求处理,心跳更新操作等等。

    下面是一张结构简图帮助大家宏观上理解RM中的NM管理:



    NodeManager节点注册

    我们从一个比较初始的状态出发,比如说节点注册开始,一步步的贯穿的去分析整个流程。节点注册操作,在NodeManager类自身中。这个类中定义的基本信息如下

    //ResourceManager下资源管理器类
    public class NodeManager implements ContainerManagementProtocol {
      private static final Log LOG = LogFactory.getLog(NodeManager.class);
      private static final RecordFactory recordFactory = RecordFactoryProvider.getRecordFactory(null);
      
      final private String containerManagerAddress;
      //节点通信地址
      final private String nodeHttpAddress;
      //所在机架名称
      final private String rackName;
      //节点ID
      final private NodeId nodeId;
      final private Resource capability;
      Resource available = recordFactory.newRecordInstance(Resource.class);
      Resource used = recordFactory.newRecordInstance(Resource.class);

    注册操作并没有独立出方法来,而是包含在了构造函数中,也就是说,当你构造新的NodeManager的时候,你已经在注册节点到ResourceTrackerService。

    public NodeManager(String hostName, int containerManagerPort, int httpPort,
          String rackName, Resource capability,
          ResourceTrackerService resourceTrackerService, RMContext rmContext)
          throws IOException, YarnException {
        this.containerManagerAddress = hostName + ":" + containerManagerPort;
        this.nodeHttpAddress = hostName + ":" + httpPort;
        this.rackName = rackName;
        this.resourceTrackerService = resourceTrackerService;
        this.capability = capability;
        Resources.addTo(available, capability);
    
        this.nodeId = NodeId.newInstance(hostName, containerManagerPort);
        //新建nodemanager注册请求
        RegisterNodeManagerRequest request = recordFactory
            .newRecordInstance(RegisterNodeManagerRequest.class);
        //往请求内写入状态信息
        request.setHttpPort(httpPort);
        request.setNodeId(this.nodeId);
        request.setResource(capability);
        request.setNodeId(this.nodeId);
        //调用resourceTrackerService服务对象进行节点注册操作
        resourceTrackerService.registerNodeManager(request);
        this.schedulerNode = new FiCaSchedulerNode(rmContext.getRMNodes().get(
            this.nodeId), false);
       .....
      }
    顺着这行代码,来看一下服务端处理注册请求的方法。服务端的类对象是ResourceTrackerService。
    //节点资源跟踪服务,与各个节点的NodeManager通信服务
    public class ResourceTrackerService extends AbstractService implements
        ResourceTracker {
    
      private static final Log LOG = LogFactory.getLog(ResourceTrackerService.class);
    
      private static final RecordFactory recordFactory = 
        RecordFactoryProvider.getRecordFactory(null);
      //资源管理器上下文
      private final RMContext rmContext;
      //节点列表管理器
      private final NodesListManager nodesListManager;
      //节点存活状态监控
      private final NMLivelinessMonitor nmLivelinessMonitor;
      //节点安全认证相关
      private final RMContainerTokenSecretManager containerTokenSecretManager;
      private final NMTokenSecretManagerInRM nmTokenSecretManager;
      
      //心跳间隔
      private long nextHeartBeatInterval;
      //远程RPC服务
      private Server server;
      private InetSocketAddress resourceTrackerAddress;
    
      private static final NodeHeartbeatResponse resync = recordFactory
          .newRecordInstance(NodeHeartbeatResponse.class);
      private static final NodeHeartbeatResponse shutDown = recordFactory
      .newRecordInstance(NodeHeartbeatResponse.class);
      
      //最小分配的内存的大小
      private int minAllocMb;
      //最小分配的核数大小
      private int minAllocVcores;
    也是继承了抽象服务类,这里面包含的内容就多了许多,重点关注,节点列表管理器对象NodesListManager和NMLivelinessMonitor,这2者与本文叙述所相关。然后跳到节点注册请求处理操作。在节点注册请求进来的时候,首先会做一些请求的过滤条件的验证,过滤不符合要求的节点。

    //响应NodeManager的节点注册请求方法
      @SuppressWarnings("unchecked")
      @Override
      public RegisterNodeManagerResponse registerNodeManager(
          RegisterNodeManagerRequest request) throws YarnException,
          IOException {
    
        NodeId nodeId = request.getNodeId();
        String host = nodeId.getHost();
        .....
    
        // Check if this node is a 'valid' node
        //如果此节点是在exclude名单中,注册请求将会被拒绝,调用的是节点列表管理器的isValidNode方法
        if (!this.nodesListManager.isValidNode(host)) {
          String message =
              "Disallowed NodeManager from  " + host
                  + ", Sending SHUTDOWN signal to the NodeManager.";
          LOG.info(message);
          response.setDiagnosticsMessage(message);
          response.setNodeAction(NodeAction.SHUTDOWN);
          return response;
        }
    
        // Check if this node has minimum allocations
        //判断节点资源是否满足最小内存和核数的限制,如果没有同样拒绝注册
        if (capability.getMemory() < minAllocMb
            || capability.getVirtualCores() < minAllocVcores) {
          String message =
              "NodeManager from  " + host
                  + " doesn't satisfy minimum allocations, Sending SHUTDOWN"
                  + " signal to the NodeManager.";
          LOG.info(message);
          response.setDiagnosticsMessage(message);
          response.setNodeAction(NodeAction.SHUTDOWN);
          return response;
        }
        .....
    2个条件,节点是否有效,有效的规则就是在NodeListManager中定义的,这个后面会提到,第二个是节点所剩资源是否足够启动NodeManager。如果这2个请求都过了的话,则表明可以进行注册,此节点将会被注册进行存活监控线程中。

    .....
        // On every node manager register we will be clearing NMToken keys if
        // present for any running application.
        this.nmTokenSecretManager.removeNodeKey(nodeId);
        //同时将节点注册到节点存活监控线程中
        this.nmLivelinessMonitor.register(nodeId);
    
        String message =
            "NodeManager from node " + host + "(cmPort: " + cmPort + " httpPort: "
                + httpPort + ") " + "registered with capability: " + capability
                + ", assigned nodeId " + nodeId;
        LOG.info(message);
        response.setNodeAction(NodeAction.NORMAL);
        response.setRMIdentifier(ResourceManager.clusterTimeStamp);
        return response;
      }
    注册操作在上篇文章都详细讲述过了,在基础监控类中声明了,如下:

    //进程存活状态监控类
    public abstract class AbstractLivelinessMonitor<O> extends AbstractService {
      ......
    
      private final Clock clock;
      
      //保存了心跳检验的结果记录
      private Map<O, Long> running = new HashMap<O, Long>();
      
      //更新心跳监控检测最新时间
      public synchronized void receivedPing(O ob) {
        //only put for the registered objects
        if (running.containsKey(ob)) {
          running.put(ob, clock.getTime());
        }
      }
    具体细节请求点击YARN源码分析(一)

    OK,回到之前没有说清楚的NodeListManager节点列表管理器类,这个类提供了节点有效性检查的方法

    .....
    
        // Check if this node is a 'valid' node
        //如果此节点是在exclude名单中,注册请求将会被拒绝,调用的是节点列表管理器的isValidNode方法
        if (!this.nodesListManager.isValidNode(host)) {
          String message =
              "Disallowed NodeManager from  " + host
                  + ", Sending SHUTDOWN signal to the NodeManager.";
          LOG.info(message);
          response.setDiagnosticsMessage(message);
          response.setNodeAction(NodeAction.SHUTDOWN);
          return response;
        }
        .....
    传入的是主机名,可以联系之前Decommision文章中提到的include,exclude名单列表的内容。

    //节点列表管理器,主要是根据include白名单和exclude黑名单属性进行判断,也是一个服务
    public class NodesListManager extends AbstractService implements
        EventHandler<NodesListManagerEvent> {
    
      private static final Log LOG = LogFactory.getLog(NodesListManager.class);
      //节点列表读取器
      private HostsFileReader hostsReader;
      private Configuration conf;
      //不允许使用的节点列表
      private Set<RMNode> unusableRMNodesConcurrentSet = Collections
          .newSetFromMap(new ConcurrentHashMap<RMNode,Boolean>());
      //资源管理上下文
      private final RMContext rmContext;
      .....
    在这个类中写明了unsableNodes无法使用的节点列表名单,但是有效性检查的方法并没有使用到此变量。下面是真正的valid检测方法

    //输入主机名,判断是否是有效的节点,
      public boolean isValidNode(String hostName) {
        synchronized (hostsReader) {
          //获取可接入和不可接入主机名列表
          Set<String> hostsList = hostsReader.getHosts();
          Set<String> excludeList = hostsReader.getExcludedHosts();
          String ip = NetUtils.normalizeHostName(hostName);
          //判断是否在相应的列表中以此判断节点是否有效
          return (hostsList.isEmpty() || hostsList.contains(hostName) || hostsList
              .contains(ip))
              && !(excludeList.contains(hostName) || excludeList.contains(ip));
        }
      }
    也是通过hostReader对象读取配置文件中的include,exclude主机名列表做判断。初始主机从这里读取出来

    @Override
      protected void serviceInit(Configuration conf) throws Exception {
    
        this.conf = conf;
    
        // Read the hosts/exclude files to restrict access to the RM
        //在服务初始化的时候读取include和exclude文件信息,exclude的节点列表名单将会被RM拒绝接入
        try {
          this.hostsReader = 
            new HostsFileReader(
                conf.get(YarnConfiguration.RM_NODES_INCLUDE_FILE_PATH, 
                    YarnConfiguration.DEFAULT_RM_NODES_INCLUDE_FILE_PATH),
                conf.get(YarnConfiguration.RM_NODES_EXCLUDE_FILE_PATH, 
                    YarnConfiguration.DEFAULT_RM_NODES_EXCLUDE_FILE_PATH)
                    );
          //输出节点信息
          printConfiguredHosts();
          .....
    OK,节点注册操作分析完毕。


    节点HeartBeat心跳

    心跳方法在NodeManager中有直接定义

    public class NodeManager implements ContainerManagementProtocol {
       ....
      //周期心跳方法
      public void heartbeat() throws IOException, YarnException {
        NodeStatus nodeStatus = 
          org.apache.hadoop.yarn.server.resourcemanager.NodeManager.createNodeStatus(
              nodeId, getContainerStatuses(containers));
        nodeStatus.setResponseId(responseID);
        NodeHeartbeatRequest request = recordFactory
            .newRecordInstance(NodeHeartbeatRequest.class);
        request.setNodeStatus(nodeStatus);
        //调用resourceTrackerService发送心跳包,并获取响应回复
        NodeHeartbeatResponse response = resourceTrackerService
            .nodeHeartbeat(request);
        responseID = response.getResponseId();
      }
    也是远程调用ResourceTrackerService方法

    //节点心跳相应方法
      @SuppressWarnings("unchecked")
      @Override
      public NodeHeartbeatResponse nodeHeartbeat(NodeHeartbeatRequest request)
          throws YarnException, IOException {
        
        //从心跳中获取远程节点状态信息
        NodeStatus remoteNodeStatus = request.getNodeStatus();
        /**
         * Here is the node heartbeat sequence...
         * 1. Check if it's a registered node
         * 2. Check if it's a valid (i.e. not excluded) node 
         * 3. Check if it's a 'fresh' heartbeat i.e. not duplicate heartbeat 
         * 4. Send healthStatus to RMNode
         */
    
        NodeId nodeId = remoteNodeStatus.getNodeId();
    
        // 1. Check if it's a registered node
        RMNode rmNode = this.rmContext.getRMNodes().get(nodeId);
        if (rmNode == null) {
          /* node does not exist */
          String message = "Node not found resyncing " + remoteNodeStatus.getNodeId();
          LOG.info(message);
          resync.setDiagnosticsMessage(message);
          return resync;
        }
    
        // Send ping
        //更新心跳响应最新时间
        this.nmLivelinessMonitor.receivedPing(nodeId);
    
        // 2. Check if it's a valid (i.e. not excluded) node
        //每次心跳检测都会检查节点是否被拉入exclude名单
        if (!this.nodesListManager.isValidNode(rmNode.getHostName())) {
          String message =
              "Disallowed NodeManager nodeId: " + nodeId + " hostname: "
                  + rmNode.getNodeAddress();
          LOG.info(message);
          shutDown.setDiagnosticsMessage(message);
          //如果是被拉入,则触发节点撤销事件
          this.rmContext.getDispatcher().getEventHandler().handle(
              new RMNodeEvent(nodeId, RMNodeEventType.DECOMMISSION));
          return shutDown;
        }
        
        .....
    
        // Heartbeat response
        //设置心跳回复
        NodeHeartbeatResponse nodeHeartBeatResponse = YarnServerBuilderUtils
            .newNodeHeartbeatResponse(lastNodeHeartbeatResponse.
                getResponseId() + 1, NodeAction.NORMAL, null, null, null, null,
                nextHeartBeatInterval);
        rmNode.updateNodeHeartbeatResponseForCleanup(nodeHeartBeatResponse);
    
    心跳方法也不是特别的复杂。


    全部代码的分析请点击链接https://github.com/linyiqun/hadoop-yarn,后续将会继续更新YARN其他方面的代码分析。


    参考文献

    《Hadoop技术内部–YARN架构设计与实现原理》.董西成


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  • 原文地址:https://www.cnblogs.com/bianqi/p/12183868.html
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