Hadoop多个输入文件错误

我试图用下面的代码从hdfs输入中读取2个文件，但我面临如下错误我是mapreduce编程的初学者，在这个问题上坚持了几天，任何帮助都将不胜感激。
我的代码：

import java.io.IOException;
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.mapred.FileSplit;
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;
import org.apache.hadoop.mapreduce.lib.input.MultipleInputs;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
public class Recipe {
public static class TokenizerMapper1
        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 {
        String line=value.toString(); 
        word.set(line.substring(2,8));
        context.write(word,one);
}
}
public static class TokenizerMapper2
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 {
String line=value.toString(); 
word.set(line.substring(2,8));
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: recipe <in> <out>");
        System.exit(2);
    }
    @SuppressWarnings("deprecation")
    Job job = new Job(conf, "Recipe");
    job.setJarByClass(Recipe.class);
    job.setMapperClass(TokenizerMapper1.class);
    job.setMapperClass(TokenizerMapper2.class);        
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    MultipleInputs.addInputPath(job,new Path(args[0]),TextInputFormat.class,TokenizerMapper1.class);
    MultipleInputs.addInputPath(job,new Path(args[1]),TextInputFormat.class,TokenizerMapper2.class);
    FileOutputFormat.setOutputPath(job, new Path(args[2]));
  //FileInputFormat.addInputPath(job, new Path("hdfs://localhost:9000/in"));
  //FileOutputFormat.setOutputPath(job, new Path("hdfs://127.0.0.1:9000/out"));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
   // job.submit();
}

我设置了这样的程序运行配置参数：
/输入/输出
错误：

线程"main"java.lang.ArrayIndexOutOfBoundsException异常：2在Recipe.main（Recipe.java:121）

有几个问题。程序需要3个参数，而您只传递了2个。此外，如果您必须处理多种输入格式，则需要使用MultipleInputs。

假设您调用程序/in1/in2/out

    MultipleInputs.addInputPath(job, args[0], TokenizerMapper1.class, FirstMapper.class);
    MultipleInputs.addInputPath(job, args[1], TokenizerMapper2.class, SecondMapper.class);

您可以从代码中删除这些行：

job.setMapperClass(TokenizerMapper1.class);
job.setMapperClass(TokenizerMapper2.class);

现在它可以进行以下修改：

使用实际地址而不是arg[]，如下所示：

MultipleInputs.addInputPath(job,new Path("hdfs://localhost:9000/in1"),TextInputFormat.class,TokenizerMapper1.class);
MultipleInputs.addInputPath(job,new Path("hdfs://localhost:9000/in2"),TextInputFormat.class,TokenizerMapper1.class);
FileOutputFormat.setOutputPath(job, new Path("hdfs://127.0.0.1:9000/out"));

在运行配置\参数中指定所有输入和输出路径，如下所示：

127.0.0.1:9000/in1/DNAIn.txt 127.0.0.1:9000/in2/DNAIn2.txt 127.0.0.1:9000/out

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