Java ReduceContextImpl类代码示例

本文整理汇总了Java中org.apache.hadoop.mapreduce.task.ReduceContextImpl类的典型用法代码示例。如果您正苦于以下问题：Java ReduceContextImpl类的具体用法？Java ReduceContextImpl怎么用？Java ReduceContextImpl使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。

ReduceContextImpl类属于org.apache.hadoop.mapreduce.task包，在下文中一共展示了ReduceContextImpl类的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: WrappingContext

import org.apache.hadoop.mapreduce.task.ReduceContextImpl; //导入依赖的package包/类
@SuppressWarnings("unchecked")
WrappingContext(Configuration configuration,
                TaskAttemptID id,
                OutputCommitter outputCommitter,
                RecordWriter<KEYOUT, VALUEOUT> output,
                KeyValueProducer<KEYIN, Iterable<VALUEIN>> transport,
                MapOutputAccumulator<KEYOUT, VALUEOUT> consumer
) throws IOException, InterruptedException {
    //Override the actual key and value class with Writables, to ensure that constructor
    //will not throw exception if SerializationFactory does not support that class.
    //Any actual serialization/deserialization is performed by DataTransport, so this
    //factory is never used.

    super();
    impl = new ReduceContextImpl(configuration, id, new DummyRawIterator()
            , null, null, output, outputCommitter, new TaskAttemptContextImpl.DummyReporter(), null, Writable.class, Writable.class);
    this.transport = transport;
    this.mapOutputAccumulatorCallback = consumer;
}

开发者ID:scaleoutsoftware，项目名称:hServer，代码行数:20，代码来源:HadoopVersionSpecificCode_CDH4.java

示例2: createReduceContext

import org.apache.hadoop.mapreduce.task.ReduceContextImpl; //导入依赖的package包/类
@SuppressWarnings("unchecked")
protected static <INKEY,INVALUE,OUTKEY,OUTVALUE> 
org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
                      <INKEY,INVALUE,OUTKEY,OUTVALUE> reducer,
                    Configuration job,
                    org.apache.hadoop.mapreduce.TaskAttemptID taskId, 
                    RawKeyValueIterator rIter,
                    org.apache.hadoop.mapreduce.Counter inputKeyCounter,
                    org.apache.hadoop.mapreduce.Counter inputValueCounter,
                    org.apache.hadoop.mapreduce.RecordWriter<OUTKEY,OUTVALUE> output, 
                    org.apache.hadoop.mapreduce.OutputCommitter committer,
                    org.apache.hadoop.mapreduce.StatusReporter reporter,
                    RawComparator<INKEY> comparator,
                    Class<INKEY> keyClass, Class<INVALUE> valueClass
) throws IOException, InterruptedException {
  org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE> 
  reduceContext = 
    new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId, 
                                                            rIter, 
                                                            inputKeyCounter, 
                                                            inputValueCounter, 
                                                            output, 
                                                            committer, 
                                                            reporter, 
                                                            comparator, 
                                                            keyClass, 
                                                            valueClass);

  org.apache.hadoop.mapreduce.Reducer<INKEY,INVALUE,OUTKEY,OUTVALUE>.Context 
      reducerContext = 
        new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(
            reduceContext);

  return reducerContext;
}

开发者ID:naver，项目名称:hadoop，代码行数:37，代码来源:Task.java

示例3: createReduceContext

import org.apache.hadoop.mapreduce.task.ReduceContextImpl; //导入依赖的package包/类
@SuppressWarnings({ "rawtypes", "unchecked" })
public Reducer.Context createReduceContext(Configuration conf, TaskAttemptID taskid, RawKeyValueIterator input,
        Counter inputKeyCounter, Counter inputValueCounter, RecordWriter output, OutputCommitter committer,
        StatusReporter reporter, RawComparator comparator, Class keyClass, Class valueClass)
        throws HyracksDataException {
    try {
        return new WrappedReducer().getReducerContext(new ReduceContextImpl(conf, taskid, input, inputKeyCounter,
                inputValueCounter, output, committer, reporter, comparator, keyClass, valueClass));
    } catch (Exception e) {
        throw new HyracksDataException(e);
    }
}

开发者ID:apache，项目名称:incubator-asterixdb-hyracks，代码行数:13，代码来源:MRContextUtil.java

示例4: testLoadJobLoadReducer

import org.apache.hadoop.mapreduce.task.ReduceContextImpl; //导入依赖的package包/类
@Test (timeout=3000)
public void testLoadJobLoadReducer() throws Exception {
  LoadJob.LoadReducer test = new LoadJob.LoadReducer();

  Configuration conf = new Configuration();
  conf.setInt(JobContext.NUM_REDUCES, 2);
  CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
  conf.setBoolean(FileOutputFormat.COMPRESS, true);

  CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
  conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
  TaskAttemptID taskid = new TaskAttemptID();

  RawKeyValueIterator input = new FakeRawKeyValueIterator();

  Counter counter = new GenericCounter();
  Counter inputValueCounter = new GenericCounter();
  LoadRecordWriter output = new LoadRecordWriter();

  OutputCommitter committer = new CustomOutputCommitter();

  StatusReporter reporter = new DummyReporter();
  RawComparator<GridmixKey> comparator = new FakeRawComparator();

  ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
          conf, taskid, input, counter, inputValueCounter, output, committer,
          reporter, comparator, GridmixKey.class, GridmixRecord.class);
  // read for previous data
  reduceContext.nextKeyValue();
  org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
          .getReducerContext(reduceContext);

  // test.setup(context);
  test.run(context);
  // have been readed 9 records (-1 for previous)
  assertEquals(9, counter.getValue());
  assertEquals(10, inputValueCounter.getValue());
  assertEquals(1, output.getData().size());
  GridmixRecord record = output.getData().values().iterator()
          .next();

  assertEquals(1593, record.getSize());
}

开发者ID:naver，项目名称:hadoop，代码行数:44，代码来源:TestGridMixClasses.java

示例5: testSleepReducer

import org.apache.hadoop.mapreduce.task.ReduceContextImpl; //导入依赖的package包/类
@Test (timeout=3000)
public void testSleepReducer() throws Exception {
  Configuration conf = new Configuration();
  conf.setInt(JobContext.NUM_REDUCES, 2);
  CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
  conf.setBoolean(FileOutputFormat.COMPRESS, true);

  CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
  conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
  TaskAttemptID taskId = new TaskAttemptID();

  RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();

  Counter counter = new GenericCounter();
  Counter inputValueCounter = new GenericCounter();
  RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();

  OutputCommitter committer = new CustomOutputCommitter();

  StatusReporter reporter = new DummyReporter();
  RawComparator<GridmixKey> comparator = new FakeRawComparator();

  ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
          conf, taskId, input, counter, inputValueCounter, output, committer,
          reporter, comparator, GridmixKey.class, NullWritable.class);
  org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
          .getReducerContext(reducecontext);

  SleepReducer test = new SleepReducer();
  long start = System.currentTimeMillis();
  test.setup(context);
  long sleeper = context.getCurrentKey().getReduceOutputBytes();
  // status has been changed
  assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
  // should sleep 0.9 sec

  assertTrue(System.currentTimeMillis() >= (start + sleeper));
  test.cleanup(context);
  // status has been changed again

  assertEquals("Slept for " + sleeper, context.getStatus());

}

开发者ID:naver，项目名称:hadoop，代码行数:44，代码来源:TestGridMixClasses.java

示例6: testLoadJobLoadReducer

import org.apache.hadoop.mapreduce.task.ReduceContextImpl; //导入依赖的package包/类
@Test (timeout=1000)
public void testLoadJobLoadReducer() throws Exception {
  LoadJob.LoadReducer test = new LoadJob.LoadReducer();

  Configuration conf = new Configuration();
  conf.setInt(JobContext.NUM_REDUCES, 2);
  CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
  conf.setBoolean(FileOutputFormat.COMPRESS, true);

  CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
  conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
  TaskAttemptID taskid = new TaskAttemptID();

  RawKeyValueIterator input = new FakeRawKeyValueIterator();

  Counter counter = new GenericCounter();
  Counter inputValueCounter = new GenericCounter();
  LoadRecordWriter output = new LoadRecordWriter();

  OutputCommitter committer = new CustomOutputCommitter();

  StatusReporter reporter = new DummyReporter();
  RawComparator<GridmixKey> comparator = new FakeRawComparator();

  ReduceContext<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> reduceContext = new ReduceContextImpl<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>(
          conf, taskid, input, counter, inputValueCounter, output, committer,
          reporter, comparator, GridmixKey.class, GridmixRecord.class);
  // read for previous data
  reduceContext.nextKeyValue();
  org.apache.hadoop.mapreduce.Reducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>.Context context = new WrappedReducer<GridmixKey, GridmixRecord, NullWritable, GridmixRecord>()
          .getReducerContext(reduceContext);

  // test.setup(context);
  test.run(context);
  // have been readed 9 records (-1 for previous)
  assertEquals(9, counter.getValue());
  assertEquals(10, inputValueCounter.getValue());
  assertEquals(1, output.getData().size());
  GridmixRecord record = output.getData().values().iterator()
          .next();

  assertEquals(1593, record.getSize());
}

开发者ID:ict-carch，项目名称:hadoop-plus，代码行数:44，代码来源:TestGridMixClasses.java

示例7: testSleepReducer

import org.apache.hadoop.mapreduce.task.ReduceContextImpl; //导入依赖的package包/类
@Test (timeout=1000)
public void testSleepReducer() throws Exception {
  Configuration conf = new Configuration();
  conf.setInt(JobContext.NUM_REDUCES, 2);
  CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
  conf.setBoolean(FileOutputFormat.COMPRESS, true);

  CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
  conf.setBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, true);
  TaskAttemptID taskId = new TaskAttemptID();

  RawKeyValueIterator input = new FakeRawKeyValueReducerIterator();

  Counter counter = new GenericCounter();
  Counter inputValueCounter = new GenericCounter();
  RecordWriter<NullWritable, NullWritable> output = new LoadRecordReduceWriter();

  OutputCommitter committer = new CustomOutputCommitter();

  StatusReporter reporter = new DummyReporter();
  RawComparator<GridmixKey> comparator = new FakeRawComparator();

  ReduceContext<GridmixKey, NullWritable, NullWritable, NullWritable> reducecontext = new ReduceContextImpl<GridmixKey, NullWritable, NullWritable, NullWritable>(
          conf, taskId, input, counter, inputValueCounter, output, committer,
          reporter, comparator, GridmixKey.class, NullWritable.class);
  org.apache.hadoop.mapreduce.Reducer<GridmixKey, NullWritable, NullWritable, NullWritable>.Context context = new WrappedReducer<GridmixKey, NullWritable, NullWritable, NullWritable>()
          .getReducerContext(reducecontext);

  SleepReducer test = new SleepReducer();
  long start = System.currentTimeMillis();
  test.setup(context);
  long sleeper = context.getCurrentKey().getReduceOutputBytes();
  // status has been changed
  assertEquals("Sleeping... " + sleeper + " ms left", context.getStatus());
  // should sleep 0.9 sec

  assertTrue(System.currentTimeMillis() >= (start + sleeper));
  test.cleanup(context);
  // status has been changed again

  assertEquals("Slept for " + sleeper, context.getStatus());

}

开发者ID:ict-carch，项目名称:hadoop-plus，代码行数:44，代码来源:TestGridMixClasses.java

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