[166] | 1 | package ro.pub.cs.pp.a51hadoop.table; |
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| 2 | |
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| 3 | import ro.pub.cs.pp.a51hadoop.config.Config; |
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| 4 | import ro.pub.cs.pp.a51hadoop.common.*; |
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| 5 | import ro.pub.cs.pp.a51hadoop.algorithm.*; |
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| 6 | import ro.pub.cs.pp.a51hadoop.algorithm.testing.*; |
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| 7 | |
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| 8 | import java.io.IOException; |
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| 9 | import java.util.*; |
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| 10 | |
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| 11 | import org.apache.hadoop.fs.Path; |
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| 12 | import org.apache.hadoop.conf.*; |
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| 13 | import org.apache.hadoop.io.*; |
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| 14 | import org.apache.hadoop.mapred.*; |
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| 15 | import org.apache.hadoop.util.*; |
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| 16 | |
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| 17 | public class Search |
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| 18 | { |
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| 19 | |
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| 20 | public static class Map extends MapReduceBase implements Mapper<LongWritable, Text, Text, ArrayWritable> |
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| 21 | { |
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| 22 | private HashReducer[] r; |
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| 23 | private Hashfn hashfn; |
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| 24 | private String needle; |
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| 25 | private ArrayList<String> needleGenerators; |
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| 26 | |
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| 27 | public void create_testing_problem(int nr_reducers, int id) |
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| 28 | { |
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| 29 | hashfn = new DigitHashfn(); |
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| 30 | r = new DigitReducerGenerator().generate(nr_reducers, id); |
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| 31 | } |
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| 32 | |
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| 33 | public void create_a51_problem(int nr_reducers, int id) |
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| 34 | { |
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| 35 | throw new RuntimeException("a51 not implemented"); |
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| 36 | } |
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| 37 | |
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| 38 | public void configure(JobConf job) |
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| 39 | { |
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| 40 | int nr_reducers = Config.N_R; |
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| 41 | int k = job.getInt("mapred.mapper.table_id", 0); |
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| 42 | int use_a51 = job.getInt("mapred.mapper.use_a51", 0); |
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| 43 | this.needle = job.get("mapred.mapper.needle"); |
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| 44 | this.needleGenerators = new ArrayList<String>(); |
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| 45 | |
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| 46 | for(int i = 0; i < Config.N_R; i++) |
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| 47 | { |
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| 48 | String gen = applyLast(needle, i); |
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| 49 | this.needleGenerators.add(gen); |
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| 50 | } |
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| 51 | |
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| 52 | |
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| 53 | if (use_a51 != 0) |
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| 54 | create_a51_problem(nr_reducers, k); |
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| 55 | else |
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| 56 | create_testing_problem(nr_reducers, k); |
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| 57 | } |
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| 58 | |
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| 59 | public String applyAll(String txt) |
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| 60 | { |
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| 61 | for (int i = 0; i < Config.N_R; i++) |
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| 62 | { |
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| 63 | txt = r[i].apply(hashfn.hashfn(txt)); |
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| 64 | } |
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| 65 | return txt; |
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| 66 | } |
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| 67 | |
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| 68 | public String applyLast(String hashstr, int n) |
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| 69 | { |
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| 70 | for (int i = Config.N_R - n; i < Config.N_R - 1; i++) |
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| 71 | { |
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| 72 | hashstr = hashfn.hashfn(r[i].apply(hashstr)); |
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| 73 | } |
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| 74 | return r[r.length - 1].apply(hashstr); |
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| 75 | } |
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| 76 | |
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| 77 | |
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| 78 | public String applyFirst(String txt, int n) |
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| 79 | { |
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| 80 | for (int i = 0; i < n; i++) |
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| 81 | { |
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| 82 | txt = hashfn.hashfn(r[i].apply(txt)); |
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| 83 | } |
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| 84 | return txt; |
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| 85 | } |
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| 86 | |
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| 87 | |
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| 88 | public void map(LongWritable key, Text value, OutputCollector<Text, ArrayWritable> output, Reporter reporter) throws IOException |
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| 89 | { |
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| 90 | |
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| 91 | String line = value.toString(); |
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| 92 | StringTokenizer tokenizer = new StringTokenizer(line); |
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| 93 | if (!tokenizer.hasMoreTokens()) |
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| 94 | return; |
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| 95 | String end = tokenizer.nextToken(); |
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| 96 | List<Text> list = new ArrayList<Text>(); |
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| 97 | ArrayWritable arr = new TextArrayWritable(); |
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| 98 | Text word = new Text(); |
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| 99 | word.set(needle); |
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| 100 | while (tokenizer.hasMoreTokens()) |
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| 101 | { |
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| 102 | String start = tokenizer.nextToken(); |
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| 103 | for (int i = 0; i < needleGenerators.size(); i++) |
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| 104 | { |
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| 105 | if (start.equals(needleGenerators.get(i))) |
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| 106 | { |
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| 107 | String hashStr = applyFirst(start, Config.N_R - i); |
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| 108 | if (!hashStr.equals(needle)) |
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| 109 | continue; |
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| 110 | Text t = new Text(); |
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| 111 | t.set(start); |
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| 112 | list.add(t); |
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| 113 | } |
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| 114 | } |
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| 115 | } |
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| 116 | |
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| 117 | arr.set(list.toArray(new Text[0])); |
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| 118 | output.collect(word, arr); |
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| 119 | } |
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| 120 | } |
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| 121 | |
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| 122 | public static class Reduce extends MapReduceBase implements Reducer<Text, ArrayWritable, Text, ArrayWritable> |
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| 123 | { |
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| 124 | |
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| 125 | public void reduce(Text key, Iterator<ArrayWritable> values, OutputCollector<Text, ArrayWritable> output, Reporter reporter) throws IOException |
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| 126 | { |
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| 127 | List<Text> list = new ArrayList<Text>(); |
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| 128 | while (values.hasNext()) |
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| 129 | { |
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| 130 | //Text[] arr = (Text[]) ; |
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| 131 | Writable[] arr = values.next().get(); |
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| 132 | for (int i = 0; i < arr.length; i++) |
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| 133 | { |
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| 134 | Text t = (Text) arr[i]; |
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| 135 | list.add(t); |
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| 136 | } |
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| 137 | } |
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| 138 | ArrayWritable arr = new TextArrayWritable(); |
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| 139 | arr.set(list.toArray(new Text[0])); |
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| 140 | output.collect(key, arr); |
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| 141 | } |
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| 142 | } |
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| 143 | |
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| 144 | public static void run(String input, String output, int k) throws Exception |
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| 145 | { |
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| 146 | JobConf conf = new JobConf(TableGen.class); |
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| 147 | String kstr = "" + k; |
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| 148 | conf.setJobName("tablegen"); |
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| 149 | conf.setOutputKeyClass(Text.class); |
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| 150 | conf.setOutputValueClass(TextArrayWritable.class); |
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| 151 | |
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| 152 | conf.setMapperClass(Map.class); |
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| 153 | conf.setCombinerClass(Reduce.class); |
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| 154 | conf.setReducerClass(Reduce.class); |
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| 155 | |
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| 156 | conf.setInputFormat(TextInputFormat.class); |
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| 157 | conf.setOutputFormat(TextOutputFormat.class); |
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| 158 | |
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| 159 | FileInputFormat.setInputPaths(conf, new Path(input)); |
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| 160 | FileOutputFormat.setOutputPath(conf, new Path(new Path(output), kstr)); |
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| 161 | |
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| 162 | JobClient.runJob(conf); |
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| 163 | } |
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| 164 | |
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| 165 | public static void main(String[] args) throws Exception |
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| 166 | { |
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| 167 | for(int i = 0; i < Config.N_TABLES; i++) |
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| 168 | { |
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| 169 | run(args[0], args[1], i); |
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| 170 | System.out.println("LAG:XXXX:XXXX: i=" + i); |
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| 171 | } |
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| 172 | } |
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| 173 | } |
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