Java tutorial
/** * 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 redpoll.text; import java.io.IOException; import java.util.Iterator; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.MapReduceBase; import org.apache.hadoop.mapred.OutputCollector; import org.apache.hadoop.mapred.Reducer; import org.apache.hadoop.mapred.Reporter; import redpoll.core.WritableSparseVector; /** * Reducer to create vsm of documents. * @author Jeremy Chow(coderplay@gmail.com) */ public class TfIdfReducer extends MapReduceBase implements Reducer<Text, TfIdfWritable, Text, TfIdfWritable> { private int totalTerms; public void reduce(Text key, Iterator<TfIdfWritable> values, OutputCollector<Text, TfIdfWritable> output, Reporter reporter) throws IOException { WritableSparseVector tfIdfVector = new WritableSparseVector(totalTerms); while (values.hasNext()) { ElementWritable value = (ElementWritable) values.next().get(); tfIdfVector.setQuick(value.getIndex(), value.getValue()); } // tf-idf style vector output.collect(key, new TfIdfWritable(tfIdfVector)); } @Override public void configure(JobConf job) { totalTerms = job.getInt("redpoll.text.terms.num", 1024); } }