ClassCastException:java.lang.Exception: java.lang.ClassCastException 在映射中

Question

我正在编写一个 mapreduce 应用程序，它接受（键，值）格式的输入并只显示与 reducer 输出相同的数据。

这是示例输入：

1500s   1
1960s   1
Aldus   1

在下面的代码中，我使用 <<>> 指定输入格式，并在 main() 中将分隔符指定为制表符。当我运行代码时，我运行进入错误消息：

java.lang.Exception: java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to org.apache.hadoop.io.LongWritable
at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:522)
Caused by: java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to org.apache.hadoop.io.LongWritable
at cscie63.examples.WordDesc$KVMapper.map(WordDesc.java:1)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

尝试了不同的调试方法，但无济于事。

public class WordDesc {

  public static class KVMapper 
        extends Mapper<Text, LongWritable, Text, LongWritable>{
    private final static IntWritable one = new IntWritable(1);
    private Text word = new Text();
    public void map(Text key, LongWritable value , Context context
                    ) throws IOException, InterruptedException {
      context.write(key,value);
      }
    }


  public static class KVReducer 
       extends Reducer<Text,LongWritable,Text,LongWritable> {

    private IntWritable result = new IntWritable();
    public void reduce(Text key, LongWritable value, 
                       Context context
                       ) throws IOException, InterruptedException {
      context.write(key, value);
    }
  }

  public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    conf.set("mapreduce.input.keyvaluelinerecordreader.key.value.separator", "\t");
            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 desc");
    job.setInputFormatClass(KeyValueTextInputFormat.class);
    job.setJarByClass(WordDesc.class);
    job.setMapperClass(KVMapper.class);
    job.setCombinerClass(KVReducer.class);
    job.setReducerClass(KVReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(LongWritable.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

我猜这行 job.setInputFormatClass(KeyValueTextInputFormat.class); 告诉您的程序将您的输入视为 Text 的键值对。因此，当您要求输入值是 LongWritable 时，您会收到此异常。

一个快速解决方法是将您的输入读取为文本，然后，如果您想使用 LongWritable，请使用以下方法解析它：

public static class KVMapper 
    extends Mapper<Text, Text, Text, LongWritable>{
    private final static LongWritable val = new LongWritable();
    public void map(Text key, Text value, Context context) {
      val.set(Long.parseLong(value.toString()));
      context.write(key,val);
    }
}

它的作用如下：value 是 Text，然后 value.toString() 给出这个 Text 的 String 表示，然后 Long.parseLong() 解析这个 String 为 long。最后，val.set()，将其转换为 LongWritable。

顺便说一句，我认为您不需要为此使用 Reducer...您可以通过将 reduce 任务的数量设置为 0 来使其更快。

ClassCastException:java.lang.Exception: java.lang.ClassCastException 在映射中

ClassCastException:java.lang.Exception: java.lang.ClassCastException in mapred

java

hadoop

mapreduce

classcastexception