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/**
* 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.avro.mapred;
import java.io.IOException;
import org.apache.hadoop.mapred.Reporter;
import org.apache.hadoop.conf.Configured;
/** A reducer for Avro data.
*
* <p>Applications should subclass this class and pass their subclass to {@link
* AvroJob#setReducerClass} and perhaps {@link AvroJob#setCombinerClass}.
* Subclasses override {@link #reduce}.
*/
public class AvroReducer<K,V,OUT> extends Configured {
private Pair<K,V> outputPair;
/** Called with all map output values with a given key. By default, pairs
* key with each value, collecting {@link Pair} instances. */
@SuppressWarnings("unchecked")
public void reduce(K key, Iterable<V> values,
AvroCollector<OUT> collector,
Reporter reporter) throws IOException {
if (outputPair == null)
outputPair = new Pair<K,V>(AvroJob.getOutputSchema(getConf()));
for (V value : values) {
outputPair.set(key, value);
collector.collect((OUT)outputPair);
}
}
}