| 1 | = Word Index = |
| 2 | |
| 3 | {{{ |
| 4 | #!java |
| 5 | import java.io.IOException; |
| 6 | import java.util.StringTokenizer; |
| 7 | |
| 8 | import org.apache.hadoop.conf.Configuration; |
| 9 | import org.apache.hadoop.fs.Path; |
| 10 | import org.apache.hadoop.io.LongWritable; |
| 11 | import org.apache.hadoop.io.Text; |
| 12 | import org.apache.hadoop.mapred.OutputCollector; |
| 13 | import org.apache.hadoop.mapred.Reporter; |
| 14 | import org.apache.hadoop.mapreduce.Job; |
| 15 | import org.apache.hadoop.mapreduce.Mapper; |
| 16 | import org.apache.hadoop.mapreduce.Reducer; |
| 17 | import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; |
| 18 | import org.apache.hadoop.mapreduce.lib.input.FileSplit; |
| 19 | import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; |
| 20 | import org.apache.hadoop.util.GenericOptionsParser; |
| 21 | |
| 22 | |
| 23 | // WordIndex |
| 24 | // 說明: |
| 25 | // 將每個字出於哪個檔案,那一行印出來 |
| 26 | // |
| 27 | // 測試方法: |
| 28 | // 將此程式運作在hadoop 0.20 平台上,執行: |
| 29 | // --------------------------- |
| 30 | // hadoop jar WordIndex.jar <input> <output> |
| 31 | // --------------------------- |
| 32 | // |
| 33 | // 注意: |
| 34 | //1. 在hdfs 上來源檔案的路徑為 你所指定的 <input> |
| 35 | //請注意必須先放資料到此hdfs上的資料夾內,且此資料夾內只能放檔案,不可再放資料夾 |
| 36 | //2. 運算完後,程式將執行結果放在hdfs 的輸出路徑為 你所指定的 <output> |
| 37 | |
| 38 | |
| 39 | public class WordIndex { |
| 40 | public static class wordindexM extends |
| 41 | Mapper<LongWritable, Text, Text, Text> { |
| 42 | public void map(LongWritable key, Text value, Context context) |
| 43 | throws IOException, InterruptedException { |
| 44 | |
| 45 | FileSplit fileSplit = (FileSplit) context.getInputSplit(); |
| 46 | |
| 47 | Text map_key = new Text(); |
| 48 | Text map_value = new Text(); |
| 49 | String line = value.toString(); |
| 50 | StringTokenizer st = new StringTokenizer(line.toLowerCase()); |
| 51 | while (st.hasMoreTokens()) { |
| 52 | String word = st.nextToken(); |
| 53 | map_key.set(word); |
| 54 | map_value.set(fileSplit.getPath().getName() + ":" + line); |
| 55 | context.write(map_key, map_value); |
| 56 | } |
| 57 | } |
| 58 | } |
| 59 | |
| 60 | |
| 61 | static public class wordindexR extends Reducer<Text, Text, Text, Text> { |
| 62 | |
| 63 | public void reduce(Text key, Iterable<Text> values, |
| 64 | OutputCollector<Text, Text> output, Reporter reporter) |
| 65 | throws IOException { |
| 66 | String v = ""; |
| 67 | StringBuilder ret = new StringBuilder("\n"); |
| 68 | for (Text val : values) { |
| 69 | v += val.toString().trim(); |
| 70 | if (v.length() > 0) |
| 71 | ret.append(v + "\n"); |
| 72 | } |
| 73 | |
| 74 | output.collect((Text) key, new Text(ret.toString())); |
| 75 | } |
| 76 | } |
| 77 | |
| 78 | public static void main(String[] args) throws IOException, |
| 79 | InterruptedException, ClassNotFoundException { |
| 80 | // debug using |
| 81 | // String[] argv = { "input", "output-wi" }; |
| 82 | // args = argv; |
| 83 | |
| 84 | Configuration conf = new Configuration(); |
| 85 | String[] otherArgs = new GenericOptionsParser(conf, args) |
| 86 | .getRemainingArgs(); |
| 87 | if (otherArgs.length < 2) { |
| 88 | System.out.println("hadoop jar WordIndex.jar <inDir> <outDir>"); |
| 89 | return; |
| 90 | } |
| 91 | Job job = new Job(conf, "word index"); |
| 92 | job.setJobName("word inverted index"); |
| 93 | job.setJarByClass(WordIndex.class); |
| 94 | |
| 95 | job.setMapOutputKeyClass(Text.class); |
| 96 | job.setMapOutputValueClass(Text.class); |
| 97 | job.setOutputKeyClass(Text.class); |
| 98 | job.setOutputValueClass(Text.class); |
| 99 | |
| 100 | job.setMapperClass(wordindexM.class); |
| 101 | job.setReducerClass(wordindexR.class); |
| 102 | job.setCombinerClass(wordindexR.class); |
| 103 | |
| 104 | FileInputFormat.setInputPaths(job, args[0]); |
| 105 | CheckAndDelete.checkAndDelete(args[1], conf); |
| 106 | FileOutputFormat.setOutputPath(job, new Path(args[1])); |
| 107 | |
| 108 | long start = System.nanoTime(); |
| 109 | |
| 110 | job.waitForCompletion(true); |
| 111 | |
| 112 | long time = System.nanoTime() - start; |
| 113 | System.err.println(time * (1E-9) + " secs."); |
| 114 | } |
| 115 | } |
| 116 | |
| 117 | }}} |