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 org.ankus.mapreduce.algorithms.statistics.certaintyfactorsum; import java.io.IOException; import java.util.Iterator; import org.ankus.util.ArgumentsConstants; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Reducer; /** * CFSumReducer * @desc (common) reducer class for certainty factor based summation mr job (1-step / 2-step) * @version 0.0.1 * @date : 2013.08.20 * @author Moonie */ public class CFSumReducer extends Reducer<Text, Text, NullWritable, Text> { // value for vf sum max private double sumMax; private String delimiter; @Override protected void setup(Context context) throws IOException, InterruptedException { sumMax = Double.parseDouble(context.getConfiguration().get(ArgumentsConstants.CERTAINTY_FACTOR_MAX, "1")); // TODO '\t'? delimiter = context.getConfiguration().get(ArgumentsConstants.DELIMITER, "\t"); } @Override protected void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException { Iterator<Text> iterator = values.iterator(); double m_sum = 0; while (iterator.hasNext()) { double value = Double.parseDouble(iterator.next().toString()); m_sum = m_sum + value - (m_sum * value / sumMax); } context.write(NullWritable.get(), new Text(key.toString() + delimiter + m_sum)); } @Override protected void cleanup(Context context) throws IOException, InterruptedException { } }