apache/hadoop · error · IOException

renewer is too long to be serialized!

Error message

renewer is too long to be serialized!

What it means

Error "renewer is too long to be serialized!" thrown in apache/hadoop.

Source

Thrown at hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/security/token/delegation/AbstractDelegationTokenIdentifier.java:223

  @VisibleForTesting
  void writeImpl(DataOutput out) throws IOException {
    out.writeByte(VERSION);
    owner.write(out);
    renewer.write(out);
    realUser.write(out);
    WritableUtils.writeVLong(out, issueDate);
    WritableUtils.writeVLong(out, maxDate);
    WritableUtils.writeVInt(out, sequenceNumber);
    WritableUtils.writeVInt(out, masterKeyId);
  }
  
  @Override
  public void write(DataOutput out) throws IOException {
    if (owner.getLength() > Text.DEFAULT_MAX_LEN) {
      throw new IOException("owner is too long to be serialized!");
    }
    if (renewer.getLength() > Text.DEFAULT_MAX_LEN) {
      throw new IOException("renewer is too long to be serialized!");
    }
    if (realUser.getLength() > Text.DEFAULT_MAX_LEN) {
      throw new IOException("realuser is too long to be serialized!");
    }
    writeImpl(out);
  }
  
  @Override
  public String toString() {
    StringBuilder buffer = new StringBuilder();
    buffer
        .append(getKind())
        .append(" owner=").append(owner)
        .append(", renewer=").append(renewer)
        .append(", realUser=").append(realUser)
        .append(", issueDate=").append(issueDate)
        .append(", maxDate=").append(maxDate)
        .append(", sequenceNumber=").append(sequenceNumber)

View on GitHub (pinned to 2add963021)

Solutions

1. Shorten the renewer name: it exceeds the maximum serializable length for a delegation token identifier. Use a shorter renewer principal (e.g. the Yarn RM principal short name).

When it happens

Trigger: Thrown at hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/security/token/delegation/AbstractDelegationTokenIdentifier.java:223 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/23b55152581f5e21. Report an issue: GitHub.