001/** 002 * Copyright (c) 2011, The University of Southampton and the individual contributors. 003 * All rights reserved. 004 * 005 * Redistribution and use in source and binary forms, with or without modification, 006 * are permitted provided that the following conditions are met: 007 * 008 * * Redistributions of source code must retain the above copyright notice, 009 * this list of conditions and the following disclaimer. 010 * 011 * * Redistributions in binary form must reproduce the above copyright notice, 012 * this list of conditions and the following disclaimer in the documentation 013 * and/or other materials provided with the distribution. 014 * 015 * * Neither the name of the University of Southampton nor the names of its 016 * contributors may be used to endorse or promote products derived from this 017 * software without specific prior written permission. 018 * 019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR 023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON 026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 029 */ 030package org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries; 031 032import java.util.List; 033 034import org.apache.hadoop.io.BytesWritable; 035import org.apache.hadoop.io.NullWritable; 036import org.apache.hadoop.io.Text; 037import org.apache.hadoop.mapreduce.Job; 038import org.apache.hadoop.mapreduce.Mapper; 039import org.apache.hadoop.mapreduce.Reducer; 040import org.openimaj.hadoop.mapreduce.stage.StageProvider; 041import org.openimaj.hadoop.mapreduce.stage.helper.SequenceFileTextStage; 042 043/** 044 * Given a set of specific words, this a mapper is prepared which emits only the dfidf values of those specific words 045 * and a reducer is created which emits a serialised time series for each word. 046 * @author Sina Samangooei (ss@ecs.soton.ac.uk) 047 * 048 */ 049public class SpecificWordStageProvider extends StageProvider { 050 051 protected static final String WORD_TIME_SERIES = "org.openimaj.hadoop.tools.twitter.token.outputmode.timeseries.wts"; 052 public static final String SPECIFIC_WORD = "specificword"; 053 private List<String> wordtimeseries; 054 055 public SpecificWordStageProvider(List<String> wordtimeseries) { 056 this.wordtimeseries = wordtimeseries; 057 } 058 059 @Override 060 public SequenceFileTextStage<Text, BytesWritable, Text, BytesWritable, NullWritable, Text> stage() { 061 SequenceFileTextStage<Text,BytesWritable, Text, BytesWritable, NullWritable,Text> writeSpecificWords = new SequenceFileTextStage<Text,BytesWritable, Text, BytesWritable,NullWritable,Text>() { 062 @Override 063 public void setup(Job job) { 064 job.getConfiguration().setStrings(WORD_TIME_SERIES, wordtimeseries.toArray(new String[wordtimeseries.size()])); 065 } 066 067 @Override 068 public Class<? extends Mapper<Text, BytesWritable, Text, BytesWritable>> mapper() { 069 return SpecificWordSelectionMapper.class; 070 } 071 072 @Override 073 public Class<? extends Reducer<Text, BytesWritable, NullWritable, Text>> reducer() { 074 return WordDFIDFTimeSeriesReducer.class; 075 } 076 077 @Override 078 public String outname() { 079 return SPECIFIC_WORD; 080 } 081 }; 082 return writeSpecificWords; 083 } 084 085}