MultipleInputs FileSplit cannot be cast to TaggedInputSplit ClassCastException hadoop多路径格式输入异常

1.问题描述

使用hadoop 的reduce端排序，用MultipleInputs 输入两个文件夹下不同格式的文件，使用两个mapper解析，hadoop版本2.8.3. 3 hadoop 3.2.1也报同样的错误。

java.lang.Exception: java.lang.ClassCastException: org.apache.hadoop.mapreduce.lib.input.FileSplit cannot be cast to org.apache.hadoop.mapreduce.lib.input.TaggedInputSplit
at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:489)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:549)
Caused by: java.lang.ClassCastException: org.apache.hadoop.mapreduce.lib.input.FileSplit cannot be cast to org.apache.hadoop.mapreduce.lib.input.TaggedInputSplit
at org.apache.hadoop.mapreduce.lib.input.DelegatingMapper.setup(DelegatingMapper.java:45)
at org.apache.hadoop.mapreduce.lib.input.DelegatingMapper.run(DelegatingMapper.java:54)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:270)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

2.问题分析

网上找了很多资料都说是hadoop的一个bug，需要修改TaggedInputSplit的源码（路径D:hadoophadoop-2.8.3sharehadoopmapreducehadoop-mapreduce-client-core-2.8.3.jar!orgapachehadoopmapreducelibinputDelegatingMapper.class），也就是hadoop-client-core，然后重新编译源码，生成hadoop-mapreduce-client-core-2.8.3.jar替换掉本地仓库的jar包就可以了。

（1）MultipleInputs的addInputPath方法如下，job.setMapperClass(DelegatingMapper.class);表明用DelegatingMapper的作为输入文件的处理类，实际的处理数据的Mapper是入参mapperClass， mapperClass名称和输入文件路径被组织成了字符串，然后设置到conf配置中。可能最后被DelegatingMapper读取配置conf，然后在获取到实际的处理类mapperClass和输入文件路径，进行处理文件中的数据。

 public static void addInputPath(Job job, Path path, Class<? extends InputFormat> inputFormatClass, Class<? extends Mapper> mapperClass) {
        addInputPath(job, path, inputFormatClass);
        Configuration conf = job.getConfiguration();
        String mapperMapping = path.toString() + ";" + mapperClass.getName();
        String mappers = conf.get("mapreduce.input.multipleinputs.dir.mappers");
        conf.set("mapreduce.input.multipleinputs.dir.mappers", mappers == null ? mapperMapping : mappers + "," + mapperMapping);
        job.setMapperClass(DelegatingMapper.class);
    }

（2）在idea中点击报错的行at org.apache.hadoop.mapreduce.lib.input.DelegatingMapper.setup(DelegatingMapper.java:45) 会跳转到转换异常发生的地方

protected void setup(Mapper<K1, V1, K2, V2>.Context context) throws IOException, InterruptedException {
    TaggedInputSplit inputSplit = (TaggedInputSplit)context.getInputSplit();
    this.mapper = (Mapper)ReflectionUtils.newInstance(inputSplit.getMapperClass(), context.getConfiguration());
}

context.getInputSplit();返回的是FileSplit对象类型，两个类的定义如下，两个类都是继承于InputSplit，只有父类和子类之间能转换，但是这两个类之间无法完成强制转换，所以报异常
FileSplit类定义

public class FileSplit extends InputSplit implements Writable 

TaggedInputSplit 类定义

class TaggedInputSplit extends InputSplit implements Configurable, Writable {

3.解决方法
实际异常原因是我在驱动代码中加入了下面三行代码，用MultipleInputs添加了输入路径之后，和输入input之后，就不能再用FileInputFormat添加输入路径了，也不用setInputFormatClass，
这样系统会认为是普通的输入FileSpilt，所以TaggedInputSplit inputSplit = (TaggedInputSplit)context.getInputSplit();中context.getInputSplit()返回的是FileSplit类型，
不是TaggedInputSplit而无法被强制转换为TaggedInputSplit 类，TaggedInputSplit类会根据是要解析出传入的实际map处理类的。

public int run(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
   if (args.length!=3)
   {
       return -1;
   }
    Job job=new Job(getConf(),"joinStationTemperatueRecord");
   if (job==null)
   {
       return -1;
   }
   String strClassName=this.getClass().getName();
   job.setJarByClass(this.getClass());
  //设置两个输入路径，一个输出路径
   Path StationPath=new Path(args[0]);
   Path TemperatureRecordPath= new Path(args[1]);
   Path outputPath=new Path(args[2]);
   MultipleInputs.addInputPath(job,StationPath, TextInputFormat.class,StationMapper.class);
   MultipleInputs.addInputPath(job,TemperatureRecordPath,TextInputFormat.class,TemperatureRecordMapper.class);
   FileOutputFormat.setOutputPath(job,outputPath);

   //设置分区类、分组类、reduce类
   job.setPartitionerClass(FirstPartitioner.class);
   job.setGroupingComparatorClass(GroupingComparator.class);
   job.setReducerClass(JoinReducer.class);
   job.setNumReduceTasks(2);
    //下面的三行不能加，否则会报java.lang.Exception: java.lang.ClassCastException: org.apache.hadoop.mapreduce.lib.input.FileSplit cannot be cast to org.apache.hadoop.mapreduce.lib.input.TaggedInputSplit
  // job.setInputFormatClass(TextInputFormat.class);

  // FileInputFormat.addInputPath(job,StationPath);
  // FileInputFormat.addInputPath(job,TemperatureRecordPath);
   //设置输出类型
   job.setOutputKeyClass(Text.class);
   job.setOutputValueClass(Text.class);
   job.setMapOutputKeyClass(TextPair.class);
   job.setMapOutputValueClass(Text.class);
    //删除结果目录，重新生成
    FileUtil.fullyDelete(new File(args[2]));
   return job.waitForCompletion(true)? 0:1;
}

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https://www.cnblogs.com/bclshuai/p/11380657.html