Class WordCount$TokenMapper 在 Hadoop 示例程序中找不到



我正在研究此页面上找到的Hadoop示例,并且遇到找不到类的错误。Eclipse 没有看到任何语法错误,当我在 job.setMapperClass(TokenizerMapper.class) 中突出显示实例时,甚至突出显示了类 TokenizerMapper。这是因为它是一个子类,还是我在这里忽略了什么?我使用命令 hadoop jar word.jar input output 从主 Hadoop 节点执行它(我已经发现目录 (args) 参数是 HDFS 中/user/[myuser] 的相对路径,所以这不是问题。

这里的任何帮助将不胜感激。

    import java.io.IOException;
    import java.util.StringTokenizer;
    import org.apache.hadoop.conf.Configuration;
    import org.apache.hadoop.fs.Path;
    import org.apache.hadoop.io.IntWritable;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Job;
    import org.apache.hadoop.mapreduce.Mapper;
    import org.apache.hadoop.mapreduce.Reducer;
    import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
    import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
    public class WordCount {
      Configuration configuration = null;
      public static class TokenizerMapper
        extends Mapper<Object, Text, Text, IntWritable>{
        private final static IntWritable one = new IntWritable(1);
        private Text word = new Text();
        public void map(Object key, Text value, Context context
                        ) throws IOException, InterruptedException {
          StringTokenizer itr = new StringTokenizer(value.toString());
          while (itr.hasMoreTokens()) {
            word.set(itr.nextToken());
            context.write(word, one);
          }
        }
      }
      public static class IntSumReducer
           extends Reducer<Text,IntWritable,Text,IntWritable> {
        private IntWritable result = new IntWritable();
        public void reduce(Text key, Iterable<IntWritable> values,
                           Context context
                           ) throws IOException, InterruptedException {
          int sum = 0;
          for (IntWritable val : values) {
            sum += val.get();
          }
          result.set(sum);
          context.write(key, result);
        }
      }
      public static void main(String[] args) {
        Configuration conf = new Configuration();
        Job job;
        conf.addResource(new Path("/work/hadoop/config","core-site.xml"));
    conf.addResource(new Path("/work/hadoop/config","hdfs-site.xml"));
    try {
        job = Job.getInstance(conf, "word count");

        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);
        job.setCombinerClass(IntSumReducer.class);
        job.setReducerClass(IntSumReducer.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);
        FileInputFormat.addInputPath(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
        System.exit(job.waitForCompletion(true) ? 0 : 1);
        } catch (IOException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    } catch (ClassNotFoundException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    } catch (InterruptedException e) {
        // TODO Auto-generated catch block
            e.printStackTrace();
        }
      }
    }

命令行中缺少 jar 名称。在您的文档中搜索此内容。除了wc.jar之外,它还具有WordCount,这是您的驱动程序类名称。

bin/hadoop jar wc.jar WordCount /user/joe/wordcount/input /user/joe/wordcount/output

当您的 jar 应用程序入口点是您WordCount.java时,您可以毫无问题地运行此命令。 hadoop jar word.jar input output .目前 jar 没有入口点。因此,如果未在 jar 文件中指定类的完全限定名称,则会出错。
通过使用 Eclipse,您可以将类设置为默认类/入口点,以如下所示运行。

Project=> Right click => Export => JAR File => Next => Specify Jar Path => Next 
=> JAR Manifest specification.
select the class of the application entry point.  
Main class. Browse and select the main class(WordCount in your case).
Finish.

希望对您有所帮助!

将 JAR 文件导出到类路径定义的目录可以解决此问题。从 eclipse 导出 JAR 文件时,您可能会遇到"资源与文件系统不同步"错误。在这种情况下,只需右键单击项目并选择日食时刷新。这将解决"不同步"问题

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