/** * 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.mahout.vectorizer.term; import java.io.IOException; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.mapreduce.Reducer; /** * Can also be used as a local Combiner. This accumulates all the features and the weights and sums them up. */ public class TermDocumentCountReducer extends Reducer<IntWritable, LongWritable, IntWritable, LongWritable> { @Override protected void reduce(IntWritable key, Iterable<LongWritable> values, Context context) throws IOException, InterruptedException { long sum = 0; for (LongWritable value : values) { sum += value.get(); } context.write(key, new LongWritable(sum)); } }