这个问题在这里已经有了答案：

mapreduce java.lang.arrayindexoutofboundsexception:0（1个答案）
上个月关门了。
我正在尝试使用hadoop计算文本文件中每个单词的频率。我已附上密码。

package sub4;

import java.io.IOException;
import java.util.*; 
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapreduce.*;
import org.apache.hadoop.mapreduce.Reducer.Context;
import org.apache.hadoop.mapreduce.lib.input.*;
import org.apache.hadoop.mapreduce.lib.output.*;
public class count {
    public static class Map extends Mapper<LongWritable, Text, Text, IntWritable>{
        //private final static IntWritable one = new IntWritable(1);
        IntWritable one = new IntWritable(1);
        //private Text word = new Text();

    public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
        String[] line = value.toString().split(",");
        for(String lines:line) {
            context.write(new Text(lines),one);
        }
    }
    } 

public static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
        public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {          int sum = 0;
            for (IntWritable val : values) {
                sum += val.get();
            }
            context.write(key, new IntWritable(sum));
        }  
  }

  public static void main(String[] args) throws Exception {
       Configuration conf = new Configuration();
       Job job = new Job(conf, "count");
       job.setJarByClass(count.class);
       job.setOutputKeyClass(Text.class);
       job.setOutputValueClass(IntWritable.class);
       job.setMapperClass(Map.class);
       job.setReducerClass(Reduce.class);
       job.setInputFormatClass(TextInputFormat.class);      
       job.setOutputFormatClass(TextOutputFormat.class);    
       FileInputFormat.addInputPath(job, new Path(args[0]));
       FileOutputFormat.setOutputPath(job, new Path(args[1]));
       job.waitForCompletion(true);
    }        ``
}

我保存了这段代码，并试图通过右键单击它并按export使它成为eclipse中的jar文件。之后，我转到终端并键入hadoopjar/home/user/wcount.jar sub4.count//wc/output。
这个错误来了

Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 1
    at sub4.count.main(count.java:51)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.hadoop.util.RunJar.main(RunJar.java:156)