apache/hadoop · error · RuntimeException

Problem getting input split size

Error message

Problem getting input split size

What it means

Error "Problem getting input split size" thrown in apache/hadoop.

Source

Thrown at hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/JobSubmitter.java:356

    org.apache.hadoop.mapred.InputSplit[] splits =
    job.getInputFormat().getSplits(job, job.getNumMapTasks());
    // sort the splits into order based on size, so that the biggest
    // go first
    Arrays.sort(splits, new Comparator<org.apache.hadoop.mapred.InputSplit>() {
      public int compare(org.apache.hadoop.mapred.InputSplit a,
                         org.apache.hadoop.mapred.InputSplit b) {
        try {
          long left = a.getLength();
          long right = b.getLength();
          if (left == right) {
            return 0;
          } else if (left < right) {
            return 1;
          } else {
            return -1;
          }
        } catch (IOException ie) {
          throw new RuntimeException("Problem getting input split size", ie);
        }
      }
    });
    JobSplitWriter.createSplitFiles(jobSubmitDir, job, 
        jobSubmitDir.getFileSystem(job), splits);
    return splits.length;
  }
  
  private static class SplitComparator implements Comparator<InputSplit> {
    @Override
    public int compare(InputSplit o1, InputSplit o2) {
      try {
        long len1 = o1.getLength();
        long len2 = o2.getLength();
        if (len1 < len2) {
          return 1;
        } else if (len1 == len2) {
          return 0;

View on GitHub (pinned to 2add963021)

Solutions

1. Check that input paths are accessible and the InputFormat can compute splits; see the underlying IOException for the specific path failing.

When it happens

Trigger: Thrown at hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/JobSubmitter.java:356 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of apache/hadoop@2add963021 (2026-08-22). Data as JSON: /api/errors/3af736055b593d73. Report an issue: GitHub.