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Contains some basic Map/Reduce implementations for working with RDF on Hadoop

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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.jena.hadoop.rdf.mapreduce;

import java.io.IOException;
import java.util.Iterator;

import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;

/**
 * A reducer which takes text keys with a sequence of longs representing counts
 * as the values and sums the counts together into pairs consisting of a node
 * key and a count value.
 * 
 * 
 * 
 */
public class TextCountReducer extends Reducer {

    @Override
    protected void reduce(Text key, Iterable values, Context context) throws IOException,
            InterruptedException {
        long count = 0;
        Iterator iter = values.iterator();
        while (iter.hasNext()) {
            count += iter.next().get();
        }
        context.write(key, new LongWritable(count));
    }

}