HDFS ---- Services startup

本文深入解析了HDFS系统启动时各服务的初始化与启动过程,重点介绍了BlockManager和RPCServer两个核心模块的初始化细节,以及DataNodeManager的启动流程,最后概述了Namenode进入Active或Standby状态的条件与操作。

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Overview

HDFS内部把各种功能通过各种服务的方式向外部提供。 在启动的时候,HDFS主要启动以下一些服务:

  • HTTPServer, 用来动态查看当前系统状态;
  • JVMPauseMonitor, 用来记录当前运行的JVM是否曾经暂停过;
  • NameNodeResourceChecker, 定期检查当前系统可用的本地目录的可用空间;
  • BlockManager, 管理系统中所有与Block相关的信息;
  • RPC Server, 主要用来与datanode,second namenode, backup namenode, checkpoint namenode, HA node(Zookeeper)FSClient 等通信;

BlockManager, 与 RPC server是整个系统最重要的两个模块;这里也就只查看这两个模块的初始化启动。

BlockManager 启动

BlockManager 实例化

由FSNamesystem 调用其构造函数完成,实例化过程中主要完成以下信息的初始化:

  • 保存一个到FSNamesystem, 及FSclusterStats 的引用,这个两个引用在实现中是同一个对像,即FSNamesystem;
  • 完成DataNodeManager的实例化;
  • HartbeatManager 初始化;
  • 为BlocksMap对像分配2% 的系统内存,内部是一个link-hashmap 的实现,主要保存Block的元数据及Datanode信息;
  • BlockPlacementPlolicy对像初始化, 这个对像主要用来选择合适的datanode来存放block及replication block;
  • PendingReplicationBlocks: 对像初始化, 该对像主要用来保存那些replication 还没有达到系统配置的Block的信息;
  • BlockTokenSecretManager,对像实例化;
  • 所有的Blocks相关的配置信息读取;包括:
  1. defaultReplication
  2. maxReplication
  3. minReplication
  4. maxReplicationStreams
  5. shouldCheckForEnoughRacks
  6. replicationRecheckInterval
  7. encryptDataTransfer
  8. maxNumBlocksToLog

BlockManager 初始化

在初始化过程中,BlockManger主要完成以下任务:

  • pendingReplications 线程启动;
  • 启动datanodeManager;
  • 启动ReplicationThread, 该线程以固定的时间计算Datanode的负载,并处理所有等待Replicate的Block;

 其中最主要的是DataNdeManager的启动;

DataNodeManager 启动

DataNodeManger实例化

 DataNodeManager实例化过程中主要完成以下资源的初始化:

  • NetworkTopology对像初始化;
  • hearbeatManager对像初始化;
  • HostFileManager初始化;
  • DNSToSwitchMapping对像初始化;
  • 所有的DataNode相关的配置信息的读取;
DataNodeManager 初始化

DataNodeManager 初始化主要完成以下任务:

  • DecommissionManager的启动, 该对像主要用来监视系统中退投的Datanode, 在日志中记录下来;
  • 启动heatBeatManager, 来处理,来自己dataNode的请求;

RPC Server 启动

RPC Server实现在几个重要的通信协议:
  • ClientProtocol 用来与在Client 通信;
  • DataNodeProtocol, 用来与DataNode 通信;
  • NamenodeProtocol, 用来与backupNamenode, secondaryNamenode,及checkpointNamenode通信;
  • RefreshAuthorizationPolicyProtocol, 用来与管理工具交互;
  • RefreshUserMappingsProtocol, 用来更新user 信息;
  • GetUserMappingsProtocol:用来获得当用用户信息;
  • HAServiceProtocol: Zookeeper使用该 协议来切换NameNode的状态。、
RPC Server 启动之后,Namenode所有的公共的Service已经就绪, 然后NameNode 根据配置是否启用HA决定进入Standby或Active状态,并启动相应的Service;
如果启用HA功能,则Namenode进入standby 状态,并启动standby 相应的Service 后续由Zookeeper去选择active的namenode;
否则,Namenode直接进入active状态,启动active Service 开始对外提供服务。

HAContext Service 启动

Standby Service 启动

Standby Service的启动比较简单,主是把FSEditLog以只读的方式打开, 并从active读取最新的操日志记录, 
  LOG.info("Starting services required for standby state");
    if (!dir.fsImage.editLog.isOpenForRead()) {
      // During startup, we're already open for read.
      dir.fsImage.editLog.initSharedJournalsForRead();
    }
    
    blockManager.setPostponeBlocksFromFuture(true);

    editLogTailer = new EditLogTailer(this, conf);
    editLogTailer.start();
    if (standbyShouldCheckpoint) {
      standbyCheckpointer = new StandbyCheckpointer(conf, this);
      standbyCheckpointer.start();
    }

Active Service 启动

Active 主要初始化之前service, 并启动两个monitor:

   FSEditLog editLog = dir.fsImage.getEditLog();
      
      if (!editLog.isOpenForWrite()) {
        // During startup, we're already open for write during initialization.
        editLog.initJournalsForWrite();
        // May need to recover
        editLog.recoverUnclosedStreams();
        
        LOG.info("Catching up to latest edits from old active before " +
            "taking over writer role in edits logs");
        editLogTailer.catchupDuringFailover();
        
        blockManager.setPostponeBlocksFromFuture(false);
        blockManager.getDatanodeManager().markAllDatanodesStale();
        blockManager.clearQueues();
        blockManager.processAllPendingDNMessages();
        
        if (!isInSafeMode() ||
            (isInSafeMode() && safeMode.isPopulatingReplQueues())) {
          LOG.info("Reprocessing replication and invalidation queues");
          blockManager.processMisReplicatedBlocks();
        }
        
        if (LOG.isDebugEnabled()) {
          LOG.debug("NameNode metadata after re-processing " +
              "replication and invalidation queues during failover:\n" +
              metaSaveAsString());
        }
        
        long nextTxId = dir.fsImage.getLastAppliedTxId() + 1;
        LOG.info("Will take over writing edit logs at txnid " + 
            nextTxId);
        editLog.setNextTxId(nextTxId);

        dir.fsImage.editLog.openForWrite();
      }
      if (haEnabled) {
        // Renew all of the leases before becoming active.
        // This is because, while we were in standby mode,
        // the leases weren't getting renewed on this NN.
        // Give them all a fresh start here.
        leaseManager.renewAllLeases();
      }
      leaseManager.startMonitor();
      startSecretManagerIfNecessary();

      //ResourceMonitor required only at ActiveNN. See HDFS-2914
      this.nnrmthread = new Daemon(new NameNodeResourceMonitor());
      nnrmthread.start();

如以上代码所示,在active阶段,主要是确认,FSEditlog是以写入的方式打开,设定blockmanager的工作方式,更新所有的datanode的状态;

启动leaseManager monitor, 启动 NameNodeResourceMonitor

至此,所有的的service 启动,然后,主线程进入等待, namenode启动完成;


DEPRECATED: Use of this script to execute hdfs command is deprecated. Instead use the hdfs command for it. 2025-06-18 16:50:39,734 INFO datanode.DataNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting DataNode STARTUP_MSG: host = LAPTOP-FK5QKFGQ/192.168.10.1 STARTUP_MSG: args = [] STARTUP_MSG: version = 3.2.2 STARTUP_MSG: classpath = 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:\pyspark\Hadoop\hadoop-3.2.2\share\hadoop\mapreduce\hadoop-mapreduce-client-nativetask-3.2.2.jar;D:\pyspark\Hadoop\hadoop-3.2.2\share\hadoop\mapreduce\hadoop-mapreduce-client-shuffle-3.2.2.jar;D:\pyspark\Hadoop\hadoop-3.2.2\share\hadoop\mapreduce\hadoop-mapreduce-client-uploader-3.2.2.jar;D:\pyspark\Hadoop\hadoop-3.2.2\share\hadoop\mapreduce\hadoop-mapreduce-examples-3.2.2.jar STARTUP_MSG: build = Unknown -r 7a3bc90b05f257c8ace2f76d74264906f0f7a932; compiled by 'hexiaoqiao' on 2021-01-03T09:26Z STARTUP_MSG: java = 1.8.0_281 ************************************************************/ 2025-06-18 16:50:45,335 INFO checker.ThrottledAsyncChecker: Scheduling a check for [DISK]file:/D:/hadoop-3.2.2/data/datanode 2025-06-18 16:50:45,420 INFO impl.MetricsConfig: Loaded properties from hadoop-metrics2.properties 2025-06-18 16:50:45,483 INFO impl.MetricsSystemImpl: Scheduled Metric snapshot period at 10 second(s). 2025-06-18 16:50:45,484 INFO impl.MetricsSystemImpl: DataNode metrics system started 2025-06-18 16:50:46,677 INFO common.Util: dfs.datanode.fileio.profiling.sampling.percentage set to 0. Disabling file IO profiling 2025-06-18 16:50:46,689 INFO datanode.BlockScanner: Initialized block scanner with targetBytesPerSec 1048576 2025-06-18 16:50:46,692 INFO datanode.DataNode: Configured hostname is LAPTOP-FK5QKFGQ 2025-06-18 16:50:46,693 INFO common.Util: dfs.datanode.fileio.profiling.sampling.percentage set to 0. Disabling file IO profiling 2025-06-18 16:50:46,695 INFO datanode.DataNode: Starting DataNode with maxLockedMemory = 0 2025-06-18 16:50:46,709 INFO datanode.DataNode: Opened streaming server at /0.0.0.0:9866 2025-06-18 16:50:46,710 INFO datanode.DataNode: Balancing bandwidth is 10485760 bytes/s 2025-06-18 16:50:46,710 INFO datanode.DataNode: Number threads for balancing is 50 2025-06-18 16:50:46,741 INFO util.log: Logging initialized @7589ms to org.eclipse.jetty.util.log.Slf4jLog 2025-06-18 16:50:51,787 INFO server.AuthenticationFilter: Unable to initialize FileSignerSecretProvider, falling back to use random secrets. 2025-06-18 16:50:51,821 INFO http.HttpRequestLog: Http request log for http.requests.datanode is not defined 2025-06-18 16:50:51,828 INFO http.HttpServer2: Added global filter 'safety' (class=org.apache.hadoop.http.HttpServer2$QuotingInputFilter) 2025-06-18 16:50:51,829 INFO http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context datanode 2025-06-18 16:50:51,829 INFO http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context logs 2025-06-18 16:50:51,830 INFO http.HttpServer2: Added filter static_user_filter (class=org.apache.hadoop.http.lib.StaticUserWebFilter$StaticUserFilter) to context static 2025-06-18 16:50:51,848 INFO http.HttpServer2: Jetty bound to port 38751 2025-06-18 16:50:51,849 INFO server.Server: jetty-9.4.20.v20190813; built: 2019-08-13T21:28:18.144Z; git: 84700530e645e812b336747464d6fbbf370c9a20; jvm 1.8.0_281-b09 2025-06-18 16:50:51,865 INFO server.session: DefaultSessionIdManager workerName=node0 2025-06-18 16:50:51,865 INFO server.session: No SessionScavenger set, using defaults 2025-06-18 16:50:51,867 INFO server.session: node0 Scavenging every 660000ms 2025-06-18 16:50:51,874 INFO handler.ContextHandler: Started o.e.j.s.ServletContextHandler@2421cc4{logs,/logs,file:///D:/pyspark/Hadoop/hadoop-3.2.2/logs/,AVAILABLE} 2025-06-18 16:50:51,874 INFO handler.ContextHandler: Started o.e.j.s.ServletContextHandler@21ba0741{static,/static,file:///D:/pyspark/Hadoop/hadoop-3.2.2/share/hadoop/hdfs/webapps/static/,AVAILABLE} 2025-06-18 16:50:51,926 INFO util.TypeUtil: JVM Runtime does not support Modules 2025-06-18 16:50:51,932 INFO handler.ContextHandler: Started o.e.j.w.WebAppContext@43f82e78{datanode,/,file:///D:/pyspark/Hadoop/hadoop-3.2.2/share/hadoop/hdfs/webapps/datanode/,AVAILABLE}{file:/D:/pyspark/Hadoop/hadoop-3.2.2/share/hadoop/hdfs/webapps/datanode} 2025-06-18 16:50:51,939 INFO server.AbstractConnector: Started ServerConnector@1e097d59{HTTP/1.1,[http/1.1]}{localhost:38751} 2025-06-18 16:50:51,940 INFO server.Server: Started @12789ms 2025-06-18 16:50:52,540 INFO web.DatanodeHttpServer: Listening HTTP traffic on /0.0.0.0:9864 2025-06-18 16:50:52,545 INFO util.JvmPauseMonitor: Starting JVM pause monitor 2025-06-18 16:50:52,545 INFO datanode.DataNode: dnUserName = aaa 2025-06-18 16:50:52,546 INFO datanode.DataNode: supergroup = supergroup 2025-06-18 16:50:52,573 INFO ipc.CallQueueManager: Using callQueue: class java.util.concurrent.LinkedBlockingQueue, queueCapacity: 1000, scheduler: class org.apache.hadoop.ipc.DefaultRpcScheduler, ipcBackoff: false. 2025-06-18 16:50:52,583 INFO ipc.Server: Starting Socket Reader #1 for port 9867 2025-06-18 16:50:52,720 INFO datanode.DataNode: Opened IPC server at /0.0.0.0:9867 2025-06-18 16:50:52,729 INFO datanode.DataNode: Refresh request received for nameservices: null 2025-06-18 16:50:52,735 INFO datanode.DataNode: Starting BPOfferServices for nameservices: <default> 2025-06-18 16:50:52,740 INFO datanode.DataNode: Block pool <registering> (Datanode Uuid unassigned) service to localhost/127.0.0.1:9000 starting to offer service 2025-06-18 16:50:52,745 INFO ipc.Server: IPC Server Responder: starting 2025-06-18 16:50:52,745 INFO ipc.Server: IPC Server listener on 9867: starting 2025-06-18 16:50:52,954 INFO datanode.DataNode: Acknowledging ACTIVE Namenode during handshakeBlock pool <registering> (Datanode Uuid unassigned) service to localhost/127.0.0.1:9000 2025-06-18 16:50:52,956 INFO common.Storage: Using 1 threads to upgrade data directories (dfs.datanode.parallel.volumes.load.threads.num=1, dataDirs=1) 2025-06-18 16:50:52,965 INFO common.Storage: Lock on D:\hadoop-3.2.2\data\datanode\in_use.lock acquired by nodename 16808@LAPTOP-FK5QKFGQ 2025-06-18 16:50:52,970 WARN common.Storage: Failed to add storage directory [DISK]file:/D:/hadoop-3.2.2/data/datanode java.io.IOException: Incompatible clusterIDs in D:\hadoop-3.2.2\data\datanode: namenode clusterID = CID-0243def2-304c-4ffd-871c-57b2cdf0182f; datanode clusterID = CID-a6ff55fc-9daf-4605-8a53-edaae5a9f8de at org.apache.hadoop.hdfs.server.datanode.DataStorage.doTransition(DataStorage.java:744) at org.apache.hadoop.hdfs.server.datanode.DataStorage.loadStorageDirectory(DataStorage.java:294) at org.apache.hadoop.hdfs.server.datanode.DataStorage.loadDataStorage(DataStorage.java:407) at org.apache.hadoop.hdfs.server.datanode.DataStorage.addStorageLocations(DataStorage.java:387) at org.apache.hadoop.hdfs.server.datanode.DataStorage.recoverTransitionRead(DataStorage.java:559) at org.apache.hadoop.hdfs.server.datanode.DataNode.initStorage(DataNode.java:1748) at org.apache.hadoop.hdfs.server.datanode.DataNode.initBlockPool(DataNode.java:1684) at org.apache.hadoop.hdfs.server.datanode.BPOfferService.verifyAndSetNamespaceInfo(BPOfferService.java:392) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.connectToNNAndHandshake(BPServiceActor.java:282) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.run(BPServiceActor.java:829) at java.lang.Thread.run(Thread.java:748) 2025-06-18 16:50:52,973 ERROR datanode.DataNode: Initialization failed for Block pool <registering> (Datanode Uuid cd899db0-fd95-4996-8250-261d1d36dbda) service to localhost/127.0.0.1:9000. Exiting. java.io.IOException: All specified directories have failed to load. at org.apache.hadoop.hdfs.server.datanode.DataStorage.recoverTransitionRead(DataStorage.java:560) at org.apache.hadoop.hdfs.server.datanode.DataNode.initStorage(DataNode.java:1748) at org.apache.hadoop.hdfs.server.datanode.DataNode.initBlockPool(DataNode.java:1684) at org.apache.hadoop.hdfs.server.datanode.BPOfferService.verifyAndSetNamespaceInfo(BPOfferService.java:392) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.connectToNNAndHandshake(BPServiceActor.java:282) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.run(BPServiceActor.java:829) at java.lang.Thread.run(Thread.java:748) 2025-06-18 16:50:52,973 WARN datanode.DataNode: Ending block pool service for: Block pool <registering> (Datanode Uuid cd899db0-fd95-4996-8250-261d1d36dbda) service to localhost/127.0.0.1:9000 2025-06-18 16:50:52,974 INFO datanode.DataNode: Removed Block pool <registering> (Datanode Uuid cd899db0-fd95-4996-8250-261d1d36dbda) 2025-06-18 16:50:54,974 WARN datanode.DataNode: Exiting Datanode 2025-06-18 16:50:54,976 INFO datanode.DataNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down DataNode at LAPTOP-FK5QKFGQ/192.168.10.1 ************************************************************/
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