branch-2.0.4-alpha/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/lib/aggregate/ValueAggregatorReducer.java

/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.hadoop.mapreduce.lib.aggregate;

import java.io.IOException;

import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapreduce.Reducer;

/**
 * This class implements the generic reducer of Aggregate.
 */
@InterfaceAudience.Public
@InterfaceStability.Stable
public class ValueAggregatorReducer<K1 extends WritableComparable<?>,
                                    V1 extends Writable>
  extends Reducer<Text, Text, Text, Text> {

  public void setup(Context context) 
      throws IOException, InterruptedException {
    ValueAggregatorJobBase.setup(context.getConfiguration());
  }

  /**
   * @param key
   *        the key is expected to be a Text object, whose prefix indicates
   *        the type of aggregation to aggregate the values. In effect, data
   *        driven computing is achieved. It is assumed that each aggregator's
   *        getReport method emits appropriate output for the aggregator. This
   *        may be further customized.
   * @param values the values to be aggregated
   * @param context 
   */
  public void reduce(Text key, Iterable<Text> values,
      Context context) throws IOException, InterruptedException {
    String keyStr = key.toString();
    int pos = keyStr.indexOf(ValueAggregatorDescriptor.TYPE_SEPARATOR);
    String type = keyStr.substring(0, pos);
    keyStr = keyStr.substring(pos + 
               ValueAggregatorDescriptor.TYPE_SEPARATOR.length());
    long uniqCount = context.getConfiguration().
      getLong(UniqValueCount.MAX_NUM_UNIQUE_VALUES, Long.MAX_VALUE);
    ValueAggregator aggregator = ValueAggregatorBaseDescriptor
      .generateValueAggregator(type, uniqCount);
    for (Text value : values) {
      aggregator.addNextValue(value);
    }

    String val = aggregator.getReport();
    key = new Text(keyStr);
    context.write(key, new Text(val));
  }
}