Examples with ReduceContextImpl org.apache.hadoop.mapreduce.task.ReduceContextImpl used on opensource projects

Example 1 with ReduceContextImpl

use of org.apache.hadoop.mapreduce.task.ReduceContextImpl in project hadoop by apache.

the class TestGridMixClasses method testSleepReducer.

/*
   * test SleepReducer
   */
@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<GridmixKey, NullWritable, NullWritable, NullWritable> 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());
}

Example 2 with ReduceContextImpl

use of org.apache.hadoop.mapreduce.task.ReduceContextImpl in project hadoop by apache.

the class TestGridMixClasses method testLoadJobLoadReducer.

/*
   * test LoadReducer
   */
@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<GridmixKey, GridmixRecord, NullWritable, GridmixRecord> 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());
}

Example 3 with ReduceContextImpl

use of org.apache.hadoop.mapreduce.task.ReduceContextImpl in project tez by apache.

the class MRCombiner method createReduceContext.

private static <KEYIN, VALUEIN, KEYOUT, VALUEOUT> org.apache.hadoop.mapreduce.Reducer<KEYIN, VALUEIN, KEYOUT, VALUEOUT>.Context createReduceContext(Configuration conf, TaskAttemptID mrTaskAttemptID, final TezRawKeyValueIterator rawIter, Counter combineInputRecordsCounter, Counter combineOutputRecordsCounter, RecordWriter<KEYOUT, VALUEOUT> recordWriter, MRTaskReporter reporter, RawComparator<KEYIN> comparator, Class<KEYIN> keyClass, Class<VALUEIN> valClass) throws InterruptedException, IOException {
    RawKeyValueIterator r = new RawKeyValueIterator() {

        @Override
        public boolean next() throws IOException {
            return rawIter.next();
        }

        @Override
        public DataInputBuffer getValue() throws IOException {
            return rawIter.getValue();
        }

        @Override
        public Progress getProgress() {
            return rawIter.getProgress();
        }

        @Override
        public DataInputBuffer getKey() throws IOException {
            return rawIter.getKey();
        }

        @Override
        public void close() throws IOException {
            rawIter.close();
        }
    };
    ReduceContext<KEYIN, VALUEIN, KEYOUT, VALUEOUT> rContext = new ReduceContextImpl<KEYIN, VALUEIN, KEYOUT, VALUEOUT>(conf, mrTaskAttemptID, r, null, combineInputRecordsCounter, recordWriter, null, reporter, comparator, keyClass, valClass);
    org.apache.hadoop.mapreduce.Reducer<KEYIN, VALUEIN, KEYOUT, VALUEOUT>.Context reducerContext = new WrappedReducer<KEYIN, VALUEIN, KEYOUT, VALUEOUT>().getReducerContext(rContext);
    return reducerContext;
}

Example 4 with ReduceContextImpl

use of org.apache.hadoop.mapreduce.task.ReduceContextImpl in project tez by apache.

the class MRTask method createReduceContext.

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, TaskAttemptID taskId, final TezRawKeyValueIterator 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 {
    RawKeyValueIterator r = new RawKeyValueIterator() {

        @Override
        public boolean next() throws IOException {
            return rIter.next();
        }

        @Override
        public DataInputBuffer getValue() throws IOException {
            return rIter.getValue();
        }

        @Override
        public Progress getProgress() {
            return rIter.getProgress();
        }

        @Override
        public DataInputBuffer getKey() throws IOException {
            return rIter.getKey();
        }

        @Override
        public void close() throws IOException {
            rIter.close();
        }
    };
    org.apache.hadoop.mapreduce.ReduceContext<INKEY, INVALUE, OUTKEY, OUTVALUE> reduceContext = new ReduceContextImpl<INKEY, INVALUE, OUTKEY, OUTVALUE>(job, taskId, r, inputKeyCounter, inputValueCounter, output, committer, reporter, comparator, keyClass, valueClass);
    if (LOG.isDebugEnabled()) {
        LOG.debug("Using key class: " + keyClass + ", valueClass: " + valueClass);
    }
    org.apache.hadoop.mapreduce.Reducer<INKEY, INVALUE, OUTKEY, OUTVALUE>.Context reducerContext = new WrappedReducer<INKEY, INVALUE, OUTKEY, OUTVALUE>().getReducerContext(reduceContext);
    return reducerContext;
}