[154] | 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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