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.swjtu.helloworldcn; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.mapreduce.Reducer; import org.apache.mahout.math.RandomAccessSparseVector; import org.apache.mahout.math.SequentialAccessSparseVector; import org.slf4j.Logger; import org.slf4j.LoggerFactory; /** * @author Tang * @since 2012-3 * ??Reducer */ public class APCMatrixInputReducer extends Reducer<IntWritable, APCMatrixEntryWritable, IntWritable, APCRowVectorWritable> { private static final Logger log = LoggerFactory.getLogger(APCMatrixInputReducer.class); private Double preference = null; @Override protected void reduce(IntWritable row, Iterable<APCMatrixEntryWritable> values, Context context) throws IOException, InterruptedException { int size = context.getConfiguration().getInt(APCMatrixInputJob.MATRIX_DIMENSIONS, Integer.MAX_VALUE); RandomAccessSparseVector outS = new RandomAccessSparseVector(size, 100); RandomAccessSparseVector outA = new RandomAccessSparseVector(size, 100); RandomAccessSparseVector outR = new RandomAccessSparseVector(size, 100); Configuration conf = context.getConfiguration(); if (preference == null) { preference = Double.parseDouble(conf.get(APCMatrixInputJob.TEMPORARY_SAVE_PREFERENCE)); } //System.out.println("pian du"+preference); for (APCMatrixEntryWritable element : values) { outS.setQuick(element.getCol(), element.getValS()); outA.setQuick(element.getCol(), 0.0); outR.setQuick(element.getCol(), 0.0); } //Place preferences on the diagonal of S outS.setQuick(row.get(), preference); SequentialAccessSparseVector outputS = new SequentialAccessSparseVector(outS); SequentialAccessSparseVector outputA = new SequentialAccessSparseVector(outA); SequentialAccessSparseVector outputR = new SequentialAccessSparseVector(outR); APCRowVectorWritable rowVectorWritable = new APCRowVectorWritable(outputA, outputR, outputS); //System.out.println(outputS); context.write(row, rowVectorWritable); } }