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


posted @ 2020-01-12 19:09  回眸,境界  阅读(341)  评论(0编辑  收藏  举报