在 Horton 作品沙盒上运行修改后的字数统计程序时需要帮助

Question

我在运行修改版本的字数程序时出错（添加了映射器逻辑以将符号与单词分开）。

错误：java.lang.RuntimeException：java.lang.ClassNotFoundException：Class wcount。字数统计$TokenizerMapper

操作系统：HortonWorks Sandbox 托管 2.6 Hadoop 版本这是我所做的——

1. 修改了字数统计.java以引入映射器逻辑
2. 编译字数.java使用命令 javac -classpath /home/test_user/jars/commons-cli-1.2.jar:/home/test_user/jars/hadoop-common-2.6.0.2.2.0.0-2041.jar:/home/test_user/jars/hadoop-mapreduce-client-core-2.6.0.2.2.0.0-2041.jar -d /home/test_user/hadoopjar/wordcountclass -Xlint:deprecation WordCount.java

3. 使用jar cvf wordcount.jar wcount创建 WordCount.jar其中 wcount 是包含所有 3 个类（字数、分词器和 intsumreducer）的文件夹。这是 jar 文件的样子 wcount wcount/WordCount.class wcount/WordCount$TokenizerMapper.class wcount/WordCount$intsumreducer.class

4. 运行它使用命令 - hadoop jar wordcount.jar WordCount /home/user/test_user/wordcount/wordcount.txt /home/user/test_user/wordcount/out8

尝试运行地图作业后出错Error: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class wcount.WordCount$TokenizerMapper

代码是

package wcount;
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;
import org.apache.hadoop.util.GenericOptionsParser;
public class WordCount {
  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());
       char[] chararray = {'(' , ')' , ';' , ':' , '.' , '/' , '{' , '}' , ']' , ']'};
       String temp;
      while (itr.hasMoreTokens())
      {
          temp = itr.nextToken();
          for (short i = 0; i < chararray.length; i++)
          {
              if (temp.charAt(0) == chararray[i])
              {
                  temp = temp.substring(1);
              }
           if (temp.charAt(temp.length() - 1) == chararray[i])
              {
                  temp = temp.substring(0, temp.length() - 1);
              }
          }
        word.set(temp);
        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) throws Exception {
    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length < 2) {
      System.err.println("Usage: wordcount <in> [<in>...] <out>");
      System.exit(2);
    }
    Job job = new Job(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);
    for (int i = 0; i < otherArgs.length - 1; ++i) {
      FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
    }
    FileOutputFormat.setOutputPath(job,
      new Path(otherArgs[otherArgs.length - 1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
  }
}

Answer 1

您没有在作业设置中设置任何输入格式化程序，因此默认情况下，您的输入格式化程序是 TextInput格式化程序。因此，这项工作可能期待一个LongWritable，而不是普通的Object。 您可以尝试将extends Mapper<Object更改为extends Mapper<LongWritable并将map(Object key更改为map(LongWritable key吗？