Package org.apache.hadoop.mapred

Examples of org.apache.hadoop.mapred.Reporter

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    JobConf job = new JobConf(conf);
    FileSystem fs = FileSystem.getLocal(conf);
    Path dir = new Path(System.getProperty("test.build.data",".") + "/mapred");
    Path file = new Path(dir, "test.seq");
   
    Reporter reporter = new Reporter() {
        public void setStatus(String status) throws IOException {}
        public void progress() throws IOException {}
      };
   
    int seed = new Random().nextInt();
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    LOG.info("testCopyFromHostBogusHeader");
    JobConf job = new JobConf();
    TaskAttemptID id = TaskAttemptID.forName("attempt_0_1_r_1_1");
    ShuffleScheduler<Text, Text> ss = mock(ShuffleScheduler.class);
    MergeManager<Text, Text> mm = mock(MergeManager.class);
    Reporter r = mock(Reporter.class);
    ShuffleClientMetrics metrics = mock(ShuffleClientMetrics.class);
    ExceptionReporter except = mock(ExceptionReporter.class);
    SecretKey key = JobTokenSecretManager.createSecretKey(new byte[]{0,0,0,0});
    HttpURLConnection connection = mock(HttpURLConnection.class);
   
    Counters.Counter allErrs = mock(Counters.Counter.class);
    when(r.getCounter(anyString(), anyString()))
      .thenReturn(allErrs);
   
    Fetcher<Text,Text> underTest = new FakeFetcher<Text,Text>(job, id, ss, mm,
        r, metrics, except, key, connection);
   
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    LOG.info("testCopyFromHostWait");
    JobConf job = new JobConf();
    TaskAttemptID id = TaskAttemptID.forName("attempt_0_1_r_1_1");
    ShuffleScheduler<Text, Text> ss = mock(ShuffleScheduler.class);
    MergeManager<Text, Text> mm = mock(MergeManager.class);
    Reporter r = mock(Reporter.class);
    ShuffleClientMetrics metrics = mock(ShuffleClientMetrics.class);
    ExceptionReporter except = mock(ExceptionReporter.class);
    SecretKey key = JobTokenSecretManager.createSecretKey(new byte[]{0,0,0,0});
    HttpURLConnection connection = mock(HttpURLConnection.class);
   
    Counters.Counter allErrs = mock(Counters.Counter.class);
    when(r.getCounter(anyString(), anyString()))
      .thenReturn(allErrs);
   
    Fetcher<Text,Text> underTest = new FakeFetcher<Text,Text>(job, id, ss, mm,
        r, metrics, except, key, connection);
   
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          public void collect(Object key, Object value)
            throws IOException {
            //just consume it, no need to write the record anywhere
          }
        };
        Reporter reporter = Reporter.NULL;//dummy reporter
        startOutputThreads(collector, reporter);
      }
      int exitVal = sim.waitFor();
      // how'd it go?
      if (exitVal != 0) {
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    JobConf job = new JobConf(conf);
    FileSystem fs = FileSystem.getNamed("local", conf);
    Path dir = new Path(System.getProperty("test.build.data",".") + "/mapred");
    Path file = new Path(dir, "test.seq");
   
    Reporter reporter = new Reporter() {
        public void setStatus(String status) throws IOException {}
        public void progress() throws IOException {}
      };
   
    int seed = new Random().nextInt();
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    ShuffleConsumerPlugin<K, V> shuffleConsumerPlugin = new TestShuffleConsumerPlugin<K, V>();

    //mock creation
    ReduceTask mockReduceTask = mock(ReduceTask.class);
    TaskUmbilicalProtocol mockUmbilical = mock(TaskUmbilicalProtocol.class);
    Reporter mockReporter = mock(Reporter.class);
    FileSystem mockFileSystem = mock(FileSystem.class);
    Class<? extends org.apache.hadoop.mapred.Reducer>  combinerClass = jobConf.getCombinerClass();
    @SuppressWarnings("unchecked")  // needed for mock with generic
    CombineOutputCollector<K, V>  mockCombineOutputCollector =
      (CombineOutputCollector<K, V>) mock(CombineOutputCollector.class);
    org.apache.hadoop.mapreduce.TaskAttemptID mockTaskAttemptID =
      mock(org.apache.hadoop.mapreduce.TaskAttemptID.class);
    LocalDirAllocator mockLocalDirAllocator = mock(LocalDirAllocator.class);
    CompressionCodec mockCompressionCodec = mock(CompressionCodec.class);
    Counter mockCounter = mock(Counter.class);
    TaskStatus mockTaskStatus = mock(TaskStatus.class);
    Progress mockProgress = mock(Progress.class);
    MapOutputFile mockMapOutputFile = mock(MapOutputFile.class);
    Task mockTask = mock(Task.class);

    try {
      String [] dirs = jobConf.getLocalDirs();
      // verify that these APIs are available through super class handler
      ShuffleConsumerPlugin.Context<K, V> context =
      new ShuffleConsumerPlugin.Context<K, V>(mockTaskAttemptID, jobConf, mockFileSystem,
                                                mockUmbilical, mockLocalDirAllocator,
                                                mockReporter, mockCompressionCodec,
                                                combinerClass, mockCombineOutputCollector,
                                                mockCounter, mockCounter, mockCounter,
                                                mockCounter, mockCounter, mockCounter,
                                                mockTaskStatus, mockProgress, mockProgress,
                                                mockTask, mockMapOutputFile);
      shuffleConsumerPlugin.init(context);
      shuffleConsumerPlugin.run();
      shuffleConsumerPlugin.close();
    }
    catch (Exception e) {
      assertTrue("Threw exception:" + e, false);
    }

    // verify that these APIs are available for 3rd party plugins
    mockReduceTask.getTaskID();
    mockReduceTask.getJobID();
    mockReduceTask.getNumMaps();
    mockReduceTask.getPartition();
    mockReporter.progress();
  }
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    Builder.sortSplits(sorted);

    int numTrees = Builder.getNbTrees(job); // total number of trees

    firstOutput = new PartialOutputCollector(numTrees);
    Reporter reporter = Reporter.NULL;

    firstIds = new int[splits.length];
    sizes = new int[splits.length];
   
    // to compute firstIds, process the splits in file order
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    for (int p = 0; p < splits.length; p++) {
      total += Step2Mapper.nbConcerned(splits.length, numTrees, p);
    }

    secondOutput = new PartialOutputCollector(total);
    Reporter reporter = Reporter.NULL;
    long slowest = 0; // duration of slowest map

    for (int partition = 0; partition < splits.length; partition++) {
      InputSplit split = splits[partition];
      RecordReader<LongWritable, Text> reader = input.getRecordReader(split,
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    InputSplit[] sorted = Arrays.copyOf(splits, splits.length);
    Builder.sortSplits(sorted);

    Step0OutputCollector collector = new Step0OutputCollector(numMaps);
    Reporter reporter = Reporter.NULL;

    for (int p = 0; p < numMaps; p++) {
      InputSplit split = sorted[p];
      RecordReader<LongWritable, Text> reader = input.getRecordReader(split, job, reporter);
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    InputSplit[] splits = input.getSplits(job, numMaps);

    InputSplit[] sorted = Arrays.copyOf(splits, splits.length);
    Builder.sortSplits(sorted);

    Reporter reporter = Reporter.NULL;

    int[] keys = new int[numMaps];
    Step0Output[] values = new Step0Output[numMaps];
   
    int[] expectedIds = new int[numMaps];
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