apache/hadoop · error · IOException

<typeQuota> was missing <type>

Error message

<typeQuota> was missing <type>

What it means

Error "<typeQuota> was missing <type>" thrown in apache/hadoop.

Source

Thrown at hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/tools/offlineImageViewer/OfflineImageReconstructor.java:811

    if (acls != null) {
      bld.setAcl(aclXmlToProto(acls));
    }
    Node xattrs = node.removeChild(INODE_SECTION_XATTRS);
    if (xattrs != null) {
      bld.setXAttrs(xattrsXmlToProto(xattrs));
    }
    INodeSection.QuotaByStorageTypeFeatureProto.Builder qf =
        INodeSection.QuotaByStorageTypeFeatureProto.newBuilder();
    while (true) {
      Node typeQuota = node.removeChild(INODE_SECTION_TYPE_QUOTA);
      if (typeQuota == null) {
        break;
      }
      INodeSection.QuotaByStorageTypeEntryProto.Builder qbld =
          INodeSection.QuotaByStorageTypeEntryProto.newBuilder();
      String type = typeQuota.removeChildStr(INODE_SECTION_TYPE);
      if (type == null) {
        throw new IOException("<typeQuota> was missing <type>");
      }
      HdfsProtos.StorageTypeProto storageType =
          HdfsProtos.StorageTypeProto.valueOf(type);
      if (storageType == null) {
        throw new IOException("<typeQuota> had unknown <type> " + type);
      }
      qbld.setStorageType(storageType);
      Long quota = typeQuota.removeChildLong(INODE_SECTION_QUOTA);
      if (quota == null) {
        throw new IOException("<typeQuota> was missing <quota>");
      }
      qbld.setQuota(quota);
      qf.addQuotas(qbld);
    }
    bld.setTypeQuotas(qf);
    return bld;
  }

View on GitHub (pinned to 2add963021)

Solutions

  1. Add the missing <type> element inside the <typeQuota> stanza (valid values: DISK, SSD, ARCHIVE, PROVIDED, NVDIMM).
  2. Regenerate the fsimage XML with 'hdfs oiv' from a valid fsimage.

When it happens

Trigger: Thrown by oiv -r when a <typeQuota> stanza in a directory inode lacks the <type> element identifying the storage type the quota applies to.

Common situations: See trigger scenarios.


AI-assisted analysis of apache/hadoop@2add963021 (2026-08-22). Data as JSON: /api/errors/f7a48ad54ce7a26d. Report an issue: GitHub.