@Override
  public StoreFuncInterface createStoreFunc(POStore store) throws IOException {

    Configuration conf = ConfigurationUtil.toConfiguration(pc.getProperties());
    StoreFuncInterface storeFunc = store.getStoreFunc();
    JobContext jc = HadoopShims.createJobContext(conf, new JobID());

    OutputFormat<?, ?> outputFormat = storeFunc.getOutputFormat();
    PigOutputFormat.setLocation(jc, store);
    context = HadoopShims.createTaskAttemptContext(conf, HadoopShims.getNewTaskAttemptID());
    PigOutputFormat.setLocation(context, store);

    try {
      outputFormat.checkOutputSpecs(jc);
    } catch (InterruptedException e) {
      throw new IOException(e);
    }

    try {
      outputCommitter = outputFormat.getOutputCommitter(context);
      outputCommitter.setupJob(jc);
      outputCommitter.setupTask(context);
      writer = outputFormat.getRecordWriter(context);
    } catch (InterruptedException e) {
      throw new IOException(e);
    }
    storeFunc.prepareToWrite(writer);
    return storeFunc;
  }
  public void testBinary() throws IOException, InterruptedException {
    Configuration conf = new Configuration();
    Job job = new Job(conf);

    Path outdir = new Path(System.getProperty("test.build.data", "/tmp"), "outseq");
    Random r = new Random();
    long seed = r.nextLong();
    r.setSeed(seed);

    FileOutputFormat.setOutputPath(job, outdir);

    SequenceFileAsBinaryOutputFormat.setSequenceFileOutputKeyClass(job, IntWritable.class);
    SequenceFileAsBinaryOutputFormat.setSequenceFileOutputValueClass(job, DoubleWritable.class);

    SequenceFileAsBinaryOutputFormat.setCompressOutput(job, true);
    SequenceFileAsBinaryOutputFormat.setOutputCompressionType(job, CompressionType.BLOCK);

    BytesWritable bkey = new BytesWritable();
    BytesWritable bval = new BytesWritable();

    TaskAttemptContext context =
        MapReduceTestUtil.createDummyMapTaskAttemptContext(job.getConfiguration());
    OutputFormat<BytesWritable, BytesWritable> outputFormat =
        new SequenceFileAsBinaryOutputFormat();
    OutputCommitter committer = outputFormat.getOutputCommitter(context);
    committer.setupJob(job);
    RecordWriter<BytesWritable, BytesWritable> writer = outputFormat.getRecordWriter(context);

    IntWritable iwritable = new IntWritable();
    DoubleWritable dwritable = new DoubleWritable();
    DataOutputBuffer outbuf = new DataOutputBuffer();
    LOG.info("Creating data by SequenceFileAsBinaryOutputFormat");
    try {
      for (int i = 0; i < RECORDS; ++i) {
        iwritable = new IntWritable(r.nextInt());
        iwritable.write(outbuf);
        bkey.set(outbuf.getData(), 0, outbuf.getLength());
        outbuf.reset();
        dwritable = new DoubleWritable(r.nextDouble());
        dwritable.write(outbuf);
        bval.set(outbuf.getData(), 0, outbuf.getLength());
        outbuf.reset();
        writer.write(bkey, bval);
      }
    } finally {
      writer.close(context);
    }
    committer.commitTask(context);
    committer.commitJob(job);

    InputFormat<IntWritable, DoubleWritable> iformat =
        new SequenceFileInputFormat<IntWritable, DoubleWritable>();
    int count = 0;
    r.setSeed(seed);
    SequenceFileInputFormat.setInputPaths(job, outdir);
    LOG.info("Reading data by SequenceFileInputFormat");
    for (InputSplit split : iformat.getSplits(job)) {
      RecordReader<IntWritable, DoubleWritable> reader = iformat.createRecordReader(split, context);
      MapContext<IntWritable, DoubleWritable, BytesWritable, BytesWritable> mcontext =
          new MapContextImpl<IntWritable, DoubleWritable, BytesWritable, BytesWritable>(
              job.getConfiguration(),
              context.getTaskAttemptID(),
              reader,
              null,
              null,
              MapReduceTestUtil.createDummyReporter(),
              split);
      reader.initialize(split, mcontext);
      try {
        int sourceInt;
        double sourceDouble;
        while (reader.nextKeyValue()) {
          sourceInt = r.nextInt();
          sourceDouble = r.nextDouble();
          iwritable = reader.getCurrentKey();
          dwritable = reader.getCurrentValue();
          assertEquals(
              "Keys don't match: " + "*" + iwritable.get() + ":" + sourceInt + "*",
              sourceInt,
              iwritable.get());
          assertTrue(
              "Vals don't match: " + "*" + dwritable.get() + ":" + sourceDouble + "*",
              Double.compare(dwritable.get(), sourceDouble) == 0);
          ++count;
        }
      } finally {
        reader.close();
      }
    }
    assertEquals("Some records not found", RECORDS, count);
  }
예제 #3
0
    @SuppressWarnings("unchecked")
    @Override
    public void run() {
      JobID jobId = profile.getJobID();
      JobContext jContext = new JobContextImpl(conf, jobId);
      org.apache.hadoop.mapreduce.OutputCommitter outputCommitter = null;
      try {
        outputCommitter = createOutputCommitter(conf.getUseNewMapper(), jobId, conf);
      } catch (Exception e) {
        LOG.info("Failed to createOutputCommitter", e);
        return;
      }

      try {
        TaskSplitMetaInfo[] taskSplitMetaInfos =
            SplitMetaInfoReader.readSplitMetaInfo(jobId, localFs, conf, systemJobDir);
        int numReduceTasks = job.getNumReduceTasks();
        if (numReduceTasks > 1 || numReduceTasks < 0) {
          // we only allow 0 or 1 reducer in local mode
          numReduceTasks = 1;
          job.setNumReduceTasks(1);
        }
        outputCommitter.setupJob(jContext);
        status.setSetupProgress(1.0f);

        Map<TaskAttemptID, MapOutputFile> mapOutputFiles =
            Collections.synchronizedMap(new HashMap<TaskAttemptID, MapOutputFile>());

        List<MapTaskRunnable> taskRunnables =
            getMapTaskRunnables(taskSplitMetaInfos, jobId, mapOutputFiles);

        ExecutorService mapService = createMapExecutor(taskRunnables.size());
        // Start populating the executor with work units.
        // They may begin running immediately (in other threads).
        for (Runnable r : taskRunnables) {
          mapService.submit(r);
        }

        try {
          mapService.shutdown(); // Instructs queue to drain.

          // Wait for tasks to finish; do not use a time-based timeout.
          // (See http://bugs.sun.com/bugdatabase/view_bug.do?bug_id=6179024)
          LOG.info("Waiting for map tasks");
          mapService.awaitTermination(Long.MAX_VALUE, TimeUnit.NANOSECONDS);
        } catch (InterruptedException ie) {
          // Cancel all threads.
          mapService.shutdownNow();
          throw ie;
        }

        LOG.info("Map task executor complete.");

        // After waiting for the map tasks to complete, if any of these
        // have thrown an exception, rethrow it now in the main thread context.
        for (MapTaskRunnable r : taskRunnables) {
          if (r.storedException != null) {
            throw new Exception(r.storedException);
          }
        }

        TaskAttemptID reduceId = new TaskAttemptID(new TaskID(jobId, false, 0), 0);
        try {
          if (numReduceTasks > 0) {
            ReduceTask reduce =
                new ReduceTask(systemJobFile.toString(), reduceId, 0, mapIds.size(), 1);
            reduce.setUser(UserGroupInformation.getCurrentUser().getShortUserName());
            JobConf localConf = new JobConf(job);
            localConf.set("mapreduce.jobtracker.address", "local");
            TaskRunner.setupChildMapredLocalDirs(reduce, localConf);
            // move map output to reduce input
            for (int i = 0; i < mapIds.size(); i++) {
              if (!this.isInterrupted()) {
                TaskAttemptID mapId = mapIds.get(i);
                Path mapOut = mapOutputFiles.get(mapId).getOutputFile();
                MapOutputFile localOutputFile = new MapOutputFile();
                localOutputFile.setConf(localConf);
                Path reduceIn =
                    localOutputFile.getInputFileForWrite(
                        mapId.getTaskID(), localFs.getFileStatus(mapOut).getLen());
                if (!localFs.mkdirs(reduceIn.getParent())) {
                  throw new IOException(
                      "Mkdirs failed to create " + reduceIn.getParent().toString());
                }
                if (!localFs.rename(mapOut, reduceIn))
                  throw new IOException("Couldn't rename " + mapOut);
              } else {
                throw new InterruptedException();
              }
            }
            if (!this.isInterrupted()) {
              reduce.setJobFile(localJobFile.toString());
              localConf.setUser(reduce.getUser());
              reduce.localizeConfiguration(localConf);
              reduce.setConf(localConf);
              reduce_tasks += 1;
              myMetrics.launchReduce(reduce.getTaskID());
              reduce.run(localConf, this);
              myMetrics.completeReduce(reduce.getTaskID());
              reduce_tasks -= 1;
            } else {
              throw new InterruptedException();
            }
          }
        } finally {
          for (MapOutputFile output : mapOutputFiles.values()) {
            output.removeAll();
          }
        }
        // delete the temporary directory in output directory
        outputCommitter.commitJob(jContext);
        status.setCleanupProgress(1.0f);

        if (killed) {
          this.status.setRunState(JobStatus.KILLED);
        } else {
          this.status.setRunState(JobStatus.SUCCEEDED);
        }

        JobEndNotifier.localRunnerNotification(job, status);

      } catch (Throwable t) {
        try {
          outputCommitter.abortJob(jContext, org.apache.hadoop.mapreduce.JobStatus.State.FAILED);
        } catch (IOException ioe) {
          LOG.info("Error cleaning up job:" + id);
        }
        status.setCleanupProgress(1.0f);
        if (killed) {
          this.status.setRunState(JobStatus.KILLED);
        } else {
          this.status.setRunState(JobStatus.FAILED);
        }
        LOG.warn(id, t);

        JobEndNotifier.localRunnerNotification(job, status);

      } finally {
        try {
          fs.delete(systemJobFile.getParent(), true); // delete submit dir
          localFs.delete(localJobFile, true); // delete local copy
          // Cleanup distributed cache
          taskDistributedCacheManager.release();
          trackerDistributedCacheManager.purgeCache();
        } catch (IOException e) {
          LOG.warn("Error cleaning up " + id + ": " + e);
        }
      }
    }