blob: d66cfd8b64f9e3309417b76417ef9bfb61a53fda [file] [log] [blame]
/**
* 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 java.util.Iterator;
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 combiner of Aggregate.
*/
public class ValueAggregatorCombiner<K1 extends WritableComparable<?>,
V1 extends Writable>
extends Reducer<Text, Text, Text, Text> {
/** Combines values for a given key.
* @param key the key is expected to be a Text object, whose prefix indicates
* the type of aggregation to aggregate the values.
* @param values the values to combine
* @param context to collect combined values
*/
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);
long uniqCount = context.getConfiguration().
getLong(UniqValueCount.MAX_NUM_UNIQUE_VALUES, Long.MAX_VALUE);
ValueAggregator aggregator = ValueAggregatorBaseDescriptor
.generateValueAggregator(type, uniqCount);
for (Text val : values) {
aggregator.addNextValue(val);
}
Iterator<?> outputs = aggregator.getCombinerOutput().iterator();
while (outputs.hasNext()) {
Object v = outputs.next();
if (v instanceof Text) {
context.write(key, (Text)v);
} else {
context.write(key, new Text(v.toString()));
}
}
}
}