Examples of org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext$PathIterator

org.apache.hadoop.fs.LocalDirAllocator
An implementation of a round-robin scheme for disk allocation for creating files. The way it works is that it is kept track what disk was last allocated for a file write. For the current request, the next disk from the set of disks would be allocated if the free space on the disk is sufficient enough to accommodate the file that is being considered for creation. If the space requirements cannot be met, the next disk in order would be tried and so on till a disk is found with sufficient capacity. Once a disk with sufficient space is identified, a check is done to make sure that the disk is writable. Also, there is an API provided that doesn't take the space requirements into consideration but just checks whether the disk under consideration is writable (this should be used for cases where the file size is not known apriori). An API is provided to read a path that was created earlier. That API works by doing a scan of all the disks for the input pathname. This implementation also provides the functionality of having multiple allocators per JVM (one for each unique functionality or context, like mapred, dfs-client, etc.). It ensures that there is only one instance of an allocator per context per JVM. Note: 1. The contexts referred above are actually the configuration items defined in the Configuration class like "mapred.local.dir" (for which we want to control the dir allocations). The context-strings are exactly those configuration items. 2. This implementation does not take into consideration cases where a disk becomes read-only or goes out of space while a file is being written to (disks are shared between multiple processes, and so the latter situation is probable). 3. In the class implementation, "Disk" is referred to as "Dir", which actually points to the configured directory on the Disk which will be the parent for all file write/read allocations.

    this.shuffleServerMetrics = new ShuffleServerMetrics(conf);
    server.setThreads(1, workerThreads);
    // let the jsp pages get to the task tracker, config, and other relevant
    // objects
    FileSystem local = FileSystem.getLocal(conf);
    this.localDirAllocator = new LocalDirAllocator("mapred.local.dir");
    server.setAttribute("task.tracker", this);
    server.setAttribute("local.file.system", local);
    server.setAttribute("conf", conf);
    server.setAttribute("log", LOG);
    server.setAttribute("localDirAllocator", localDirAllocator);

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                                      context.getAttribute("shuffleServerMetrics");
      try {
        shuffleMetrics.serverHandlerBusy();
        outStream = response.getOutputStream();
        JobConf conf = (JobConf) context.getAttribute("conf");
        LocalDirAllocator lDirAlloc = 
          (LocalDirAllocator)context.getAttribute("localDirAllocator");
        FileSystem fileSys = 
          (FileSystem) context.getAttribute("local.file.system");


        // Index file
        Path indexFileName = lDirAlloc.getLocalPathToRead(
            mapId+"/file.out.index", conf);
        
        // Map-output file
        Path mapOutputFileName = lDirAlloc.getLocalPathToRead(
            mapId+"/file.out", conf);


        /**
         * Read the index file to get the information about where
         * the map-output for the given reducer is available.

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      }
    } else {
      this.conf = new JobConf(conf);
    }
    this.mapOutputFile.setConf(this.conf);
    this.lDirAlloc = new LocalDirAllocator("mapred.local.dir");
  }

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    this.shuffleServerMetrics = new ShuffleServerMetrics(fConf);
    server.setThreads(1, workerThreads);
    // let the jsp pages get to the task tracker, config, and other relevant
    // objects
    FileSystem local = FileSystem.getLocal(conf);
    this.localDirAllocator = new LocalDirAllocator("mapred.local.dir");
    server.setAttribute("task.tracker", this);
    server.setAttribute("local.file.system", local);
    server.setAttribute("conf", conf);
    server.setAttribute("log", LOG);
    server.setAttribute("localDirAllocator", localDirAllocator);

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                                      context.getAttribute("shuffleServerMetrics");
      try {
        shuffleMetrics.serverHandlerBusy();
        outStream = response.getOutputStream();
        JobConf conf = (JobConf) context.getAttribute("conf");
        LocalDirAllocator lDirAlloc = 
          (LocalDirAllocator)context.getAttribute("localDirAllocator");
        FileSystem fileSys = 
          (FileSystem) context.getAttribute("local.file.system");


        // Index file
        Path indexFileName = lDirAlloc.getLocalPathToRead(
            mapId+"/file.out.index", conf);
        
        // Map-output file
        Path mapOutputFileName = lDirAlloc.getLocalPathToRead(
            mapId+"/file.out", conf);


        /**
         * Read the index file to get the information about where
         * the map-output for the given reducer is available.

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      this.conf = (JobConf) conf;
    } else {
      this.conf = new JobConf(conf);
    }
    this.mapOutputFile.setConf(this.conf);
    this.lDirAlloc = new LocalDirAllocator("mapred.local.dir");
    // add the static resolutions (this is required for the junit to
    // work on testcases that simulate multiple nodes on a single physical
    // node.
    String hostToResolved[] = conf.getStrings("hadoop.net.static.resolutions");
    if (hostToResolved != null) {

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    // IsolationRunner either by setting keep.failed.tasks.files to true or by
    // using keep.tasks.files.pattern
    if (supportIsolationRunner(conf) && isMapOrReduce()) {
      // localize the split meta-information
      Path localSplitMeta =
        new LocalDirAllocator("mapred.local.dir").getLocalPathForWrite(
            TaskTracker.getLocalSplitFile(conf.getUser(), getJobID()
                .toString(), getTaskID().toString()), conf);
      LOG.debug("Writing local split to " + localSplitMeta);
      DataOutputStream out = FileSystem.getLocal(conf).create(localSplitMeta);
      splitMetaInfo.write(out);

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  public TrackerDistributedCacheManager(Configuration conf,
      TaskController taskController) throws IOException {
    this.localFs = FileSystem.getLocal(conf);
    this.trackerConf = conf;
    this.lDirAllocator = new LocalDirAllocator("mapred.local.dir");
    this.taskController = taskController;


    // setting the cache size to a default of 10GB
    this.allowedCacheSize = conf.getLong
      ("local.cache.size", DEFAULT_CACHE_SIZE);

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    this.shuffleServerMetrics = new ShuffleServerMetrics(conf);
    server.setThreads(1, workerThreads);
    // let the jsp pages get to the task tracker, config, and other relevant
    // objects
    FileSystem local = FileSystem.getLocal(conf);
    this.localDirAllocator = new LocalDirAllocator("mapred.local.dir");
    server.setAttribute("task.tracker", this);
    server.setAttribute("local.file.system", local);
    server.setAttribute("conf", conf);
    server.setAttribute("log", LOG);
    server.setAttribute("localDirAllocator", localDirAllocator);

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    try {
      
      //before preparing the job localize 
      //all the archives
      TaskAttemptID taskid = t.getTaskID();
      final LocalDirAllocator lDirAlloc = new LocalDirAllocator("mapred.local.dir");
      final File workDir = formWorkDir(lDirAlloc, taskid, t.isTaskCleanupTask(), conf);
      
      // We don't create any symlinks yet, so presence/absence of workDir
      // actually on the file system doesn't matter.
      tip.getUGI().doAs(new PrivilegedExceptionAction<Void>() {

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