我对hadoop也有同样的问题 librarymcan . 你能帮帮我吗。我在linux上安装了cloudera。我想使用hadoop，所以我用cmd编写代码，如下所示

javac -classpath /opt/cloudera/parcels/CDH-5.7.11.cdh5.7.1.p0.11/lib/hadoop/client-0.20/hadoop-core.jar Oper.java

但是当我运行类似这样的错误时（包org.apache.hadoop.conf不存在import org.apache.hadoop.conf.*）
你能说我做了什么坏事吗？
我的java文件由以下内容组成

3 import java.io.IOException;
   4 import java.util.*;
   5         
   6 import org.apache.hadoop.fs.Path;
   7 import org.apache.hadoop.conf.*;
   8 import org.apache.hadoop.io.*;
   9 import org.apache.hadoop.mapreduce.*;
  10 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
  11 import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
  12 import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
  13 import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
  14         
  15 public class WordCount {
  16         
  17  public static class Map extends Mapper<LongWritable, Text, Text, IntWritable> {
  18     private final static IntWritable one = new IntWritable(1);
  19     private Text word = new Text();
  20         
  21     public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
  22         String line = value.toString();
  23         StringTokenizer tokenizer = new StringTokenizer(line);
  24         while (tokenizer.hasMoreTokens()) {
  25             word.set(tokenizer.nextToken());
  26             context.write(word, one);
  27         }
  28     }
  29  } 
  30         
  31  public static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
  32 
  33     public void reduce(Text key, Iterable<IntWritable> values, Context context) 
  34       throws IOException, InterruptedException {
  35         int sum = 0;
  36         for (IntWritable val : values) {
  37             sum += val.get();
  38         }
  39         context.write(key, new IntWritable(sum));
  40     }
  41  }
  42         
  43  public static void main(String[] args) throws Exception {
  44     Configuration conf = new Configuration();
  45         
  46         Job job = new Job(conf, "wordcount");
  47     
  48     job.setOutputKeyClass(Text.class);
  49     job.setOutputValueClass(IntWritable.class);
  50         
  51     job.setMapperClass(Map.class);
  52     job.setReducerClass(Reduce.class);
  53         
  54     job.setInputFormatClass(TextInputFormat.class);
  55     job.setOutputFormatClass(TextOutputFormat.class);
  56         
  57     FileInputFormat.addInputPath(job, new Path(args[0]));
  58     FileOutputFormat.setOutputPath(job, new Path(args[1]));
  59         
  60     job.waitForCompletion(true);
  61  }
  62         
  63 }