1 | /** |
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2 | * Medium length for events |
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3 | * |
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4 | * @author cristina |
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5 | */ |
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6 | |
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7 | package org.PP; |
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8 | |
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9 | import java.io.IOException; |
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10 | import java.util.*; |
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11 | |
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12 | import org.apache.hadoop.fs.Path; |
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13 | import org.apache.hadoop.conf.*; |
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14 | import org.apache.hadoop.io.*; |
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15 | import org.apache.hadoop.mapred.*; |
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16 | import org.apache.hadoop.util.*; |
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17 | |
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18 | public class MediumEvents { |
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19 | |
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20 | public static class Map extends MapReduceBase implements |
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21 | Mapper<LongWritable, Text, Text, DoubleWritable> { |
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22 | private static Text label = new Text(); |
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23 | static long anotherLabel = 0; // groups data by generating a new lable |
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24 | // each 1000 entries |
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25 | static long labels = 0; // number of keys generated |
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26 | |
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27 | public enum MapDuration { |
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28 | AHAM |
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29 | }; |
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30 | |
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31 | public void map(LongWritable key, Text value, |
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32 | OutputCollector<Text, DoubleWritable> output, Reporter reporter) |
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33 | throws IOException { |
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34 | |
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35 | Map.label.set("medium duration " + Map.labels); |
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36 | |
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37 | if (Map.anotherLabel == 1000) { |
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38 | Map.anotherLabel = 0; |
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39 | Map.labels++; |
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40 | |
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41 | // reporter.setStatus("map " + label.toString()); |
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42 | reporter.incrCounter(MapDuration.AHAM, 1); |
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43 | } |
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44 | |
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45 | String line = value.toString(); |
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46 | // skip comments |
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47 | if (!line.startsWith("#")) { |
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48 | // collons 7 and 8 are start, end time of job respectively |
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49 | StringTokenizer tokenizer = new StringTokenizer(line); |
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50 | int count = 0; |
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51 | Double start = new Double(0), end = new Double(0), duration = new Double( |
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52 | 0); |
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53 | anotherLabel++; |
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54 | while (tokenizer.hasMoreTokens()) { |
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55 | count++; |
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56 | String token = tokenizer.nextToken(); |
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57 | if (count == 7) |
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58 | start = Double.parseDouble(token); |
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59 | if (count == 8) { |
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60 | end = Double.parseDouble(token); |
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61 | // stop, we have all the information |
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62 | break; |
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63 | } |
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64 | } |
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65 | |
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66 | duration = end - start; |
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67 | output.collect(label, new DoubleWritable(duration)); |
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68 | } |
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69 | } |
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70 | } |
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71 | |
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72 | public static class Combiner extends MapReduceBase implements |
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73 | Reducer<Text, DoubleWritable, Text, DoubleWritable> { |
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74 | |
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75 | public void reduce(Text key, Iterator<DoubleWritable> values, |
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76 | OutputCollector<Text, DoubleWritable> output, Reporter reporter) |
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77 | throws IOException { |
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78 | Double sum = new Double(0); |
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79 | Long count = new Long(0); |
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80 | Double med = new Double(0); |
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81 | |
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82 | while (values.hasNext()) { |
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83 | count++; |
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84 | sum += values.next().get(); |
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85 | } |
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86 | if (count > 0) |
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87 | med = sum / count; |
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88 | else |
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89 | med = new Double(0); |
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90 | output.collect(new Text("medium duration"), new DoubleWritable(med)); |
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91 | |
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92 | } |
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93 | } |
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94 | |
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95 | public static class Reduce extends MapReduceBase implements |
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96 | Reducer<Text, DoubleWritable, Text, DoubleWritable> { |
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97 | |
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98 | public void reduce(Text key, Iterator<DoubleWritable> values, |
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99 | OutputCollector<Text, DoubleWritable> output, Reporter reporter) |
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100 | throws IOException { |
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101 | Double sum = new Double(0); |
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102 | Long count = new Long(0); |
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103 | Double med = new Double(0); |
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104 | |
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105 | while (values.hasNext()) { |
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106 | count++; |
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107 | sum += values.next().get(); |
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108 | } |
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109 | if (count > 0) |
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110 | med = sum / count; |
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111 | else |
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112 | med = new Double(0); |
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113 | output.collect(key, new DoubleWritable(med)); |
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114 | |
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115 | } |
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116 | } |
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117 | |
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118 | /* |
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119 | * public static class Reduce extends MapReduceBase implements Reducer<Text, |
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120 | * DoubleWritable, Text, DoubleWritable> { |
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121 | * |
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122 | * static Text label = new Text(); static long anotherLabel = 0; // groups |
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123 | * data by generating a new lable each 1.000.000 entries static long labels |
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124 | * = 0; // number of keys generated |
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125 | * |
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126 | * public enum RedDuration { AHAM }; |
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127 | * |
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128 | * |
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129 | * public void reduce(Text key, Iterator<DoubleWritable> values, |
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130 | * OutputCollector<Text, DoubleWritable> output, Reporter reporter) throws |
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131 | * IOException { Double sum = new Double(0); Long count = new Long(0); |
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132 | * Double med = new Double(0); |
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133 | * |
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134 | * Reduce.label.set("medium duration "+Reduce.labels); |
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135 | * |
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136 | * if(Reduce.anotherLabel == 100) { Reduce.anotherLabel = 0; |
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137 | * Reduce.labels++; |
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138 | * |
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139 | * //reporter.setStatus("map " + label.toString()); |
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140 | * reporter.incrCounter(RedDuration.AHAM, 1); } |
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141 | * |
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142 | * Reduce.anotherLabel++; |
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143 | * |
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144 | * |
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145 | * while (values.hasNext()) { count++; sum += values.next().get(); } |
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146 | * if(count > 0) med = sum/count; else med = new Double(0); |
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147 | * output.collect(Reduce.label, new DoubleWritable(med)); |
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148 | * |
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149 | * } } |
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150 | */ |
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151 | |
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152 | public static void main(String[] args) throws Exception { |
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153 | JobConf conf = new JobConf(MediumEvents.class); |
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154 | conf.setJobName("mediumEvents"); |
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155 | |
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156 | conf.setOutputKeyClass(Text.class); |
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157 | conf.setOutputValueClass(DoubleWritable.class); |
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158 | |
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159 | conf.setMapperClass(Map.class); |
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160 | conf.setCombinerClass(Combiner.class); |
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161 | conf.setReducerClass(Reduce.class); |
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162 | |
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163 | conf.setInputFormat(TextInputFormat.class); |
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164 | conf.setOutputFormat(TextOutputFormat.class); |
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165 | |
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166 | FileInputFormat.setInputPaths(conf, new Path(args[0])); |
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167 | FileOutputFormat.setOutputPath(conf, new Path(args[1])); |
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168 | |
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169 | conf.setNumReduceTasks(5); |
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170 | |
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171 | JobClient.runJob(conf); |
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172 | } |
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173 | } |
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