hadoop学习笔记之倒排索引

开发工具：eclipse

目标：对下面文档phone_numbers进行倒排索引：

13599999999 1008613899999999 12013944444444 1380013800013722222222 1380013800018800000000 12013722222222 1008618944444444 10086

代码：

 1 import java.io.IOException; 2 import org.apache.hadoop.conf.Configured; 3 import org.apache.hadoop.conf.Configuration; 4 import org.apache.hadoop.fs.Path; 5 import org.apache.hadoop.util.Tool; 6 import org.apache.hadoop.util.ToolRunner; 7 import org.apache.hadoop.io.*; 8 import org.apache.hadoop.maPReduce.*; 9 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;10 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;11 import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;12 13 public class Test_1 extends Configured implements Tool 14 {15     enum Counter16     {17         LINESKIP, // error lines18     }19     20     public static class Map extends Mapper<LongWritable, Text, Text, Text>21     {22         public void map(LongWritable key, Text value, Context context)throws IOException, InterruptedException23         {24             String line = value.toString(); // read original data25             26             try27             {28                 // process data29                 String[] lineSplit = line.split(" ");30                 String anum = lineSplit[0];31                 String bnum = lineSplit[1];32                 33                 context.write(new Text(bnum), new Text(anum)); // map output34             }35             catch(java.lang.ArrayIndexOutOfBoundsException e)36             {37                 context.getCounter(Counter.LINESKIP).increment(1);38                 return;39             }40             41         }42     }43     public static class Reduce extends Reducer<Text, Text, Text, Text>44     {45         public void reduce(Text key, Iterable<Text>values, Context context)throws IOException, InterruptedException46         {47             String valueString;48             String out = "";49             50             for (Text value : values)51             {52                 valueString = value.toString();53                 out += valueString + "|";54             }55             56             context.write(key, new Text(out));    // reduce output57         }58     }59     public int run(String[] args)throws Exception60     {61         Configuration conf = getConf();62         63         Job job = new Job(conf, "Test_1");  // task name64         job.setJarByClass(Test_1.class);    // specified task65         66         FileInputFormat.addInputPath(job, new Path(args[0]));  // input path67         FileOutputFormat.setOutputPath(job, new Path(args[1])); // output path68         69         job.setMapperClass(Map.class);70         job.setReducerClass(Reduce.class);71         job.setOutputFormatClass(TextOutputFormat.class);72         job.setOutputKeyClass(Text.class);73         job.setOutputValueClass(Text.class);74         75         job.waitForCompletion(true);76         77         return job.isSuccessful() ? 0 : 1;78     }79     80     public static void main(String[] args)throws Exception81     {82         int res = ToolRunner.run(new Configuration(), new Test_1(), args);83         System.exit(res);84     }85 }

运行结果：