上次说到,当MapLauncher或ReduceLancher(用于执行任务的线程,它们扩展自TaskLauncher),从它们所维护的LinkedList也即队列中获取到TaskInProgress,而且TaskTracker有空闲的slot时,该线程就调用了TaskTracker的startNewTask(tip)方法,以下所示: spa
public void run() { while (!Thread.interrupted()) { try { TaskInProgress tip; Task task; synchronized (tasksToLaunch) { while (tasksToLaunch.isEmpty()) { tasksToLaunch.wait();//当队列为空时呗阻塞,知道有新的tip到来才会被唤醒 } //get the TIP tip = tasksToLaunch.remove(0); task = tip.getTask(); ......//当有空闲的slot时执行启动一个任务 startNewTask(tip); ...... } }
接下了来就让咱们看下startNewTask(tip)的神秘面纱吧,因为在其内部经过实习Runnable建立了一个线程,咱们只需分析线程体的run方法便可,关键代码以下,为便于说明,给3个核心语句分别标识为**1,**2:
线程
public void run() { try { RunningJob rjob = localizeJob(tip); //**1 tip.getTask().setJobFile(rjob.getLocalizedJobConf().toString()); // task本地化已经完成,此刻若是rjob.jobConf或者rjob.ugi为空的话,会抛出异常
launchTaskForJob(tip, new JobConf(rjob.getJobConf()), rjob); //**2
......
} }
**1的源码以下,code
Task t = tip.getTask(); JobID jobId = t.getJobID(); RunningJob rjob = addTaskToJob(jobId, tip); InetSocketAddress ttAddr = getTaskTrackerReportAddress();
从中咱们能够看出,首先建立了一个该任务所属的RunningJob,并把它放入到一个该TaskTracker所维护的TreeMap<jobId,RunningJob>中,同时在RunningJob中记录将要执行的task,也即把tip放入到RunningJob.tasks(一个HashSet<TaskInProgress>)中。由此,咱们能够知道,每一个TaskTracker都维护者一个TreeMap用以记录它正在执行的哪一个做业的哪些任务(map、reduce任务)。xml
接下来localizeJob(tip)要作的就是调用initializeJob(t, rjob, ttAddr)初始化工做目录,并下载相应的job.xml以及job.jar(TaskController负责)文件,TaskController最后调用RunJar.unJar()将包解压到相应的工做目录,,至此初始化工做完成,调用launchTaskForJob开始执行Task。blog
**2的核心代码为:队列
protected void launchTaskForJob(TaskInProgress tip, JobConf jobConf,RunningJob rjob) throws IOException { synchronized (tip) { jobConf.set(JobConf.MAPRED_LOCAL_DIR_PROPERTY, localStorage.getDirsString()); tip.setJobConf(jobConf); tip.setUGI(rjob.ugi); tip.launchTask(rjob); } }
由此看出,它主要是调用TaskTracker.TaskInProgress的launchTask()方法,在该方法中它建立了一个TaskRunner线程,并启这个线程执行这个task,其run方法核心代码以下:进程
public final void run() {
//设置工做目录 final File workDir = new File(new Path(localdirs[rand.nextInt(localdirs.length)], TaskTracker.getTaskWorkDir(t.getUser(), taskid.getJobID().toString(), taskid.toString(), t.isTaskCleanupTask())).toString());
......
// 设置环境变量 List<String> classPaths = getClassPaths(conf, workDir,taskDistributedCacheManager); .......
//启动Task子进程 launchJvmAndWait(setupCmds, vargs, stdout, stderr, logSize, workDir); } }
未完待续...... ip