apache/iceberg · error · IllegalArgumentException
Expected one (and same) ORC type for list elements, got:
Error message
Expected one (and same) ORC type for list elements, got:
What it means
SparkOrcValueWriters.ListWriter expects exactly one ORC TypeDescription describing the list's element type, since ORC lists have a single child type. Receiving a list of TypeDescriptions whose size differs from 1 means the ORC schema and the writer wiring disagree. This IllegalArgumentException is an internal invariant check guarding schema/writer mismatch.
Source
Thrown at spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/data/SparkOrcValueWriters.java:137
}
private static class Decimal38Writer implements OrcValueWriter<Decimal> {
@Override
public void nonNullWrite(int rowId, Decimal decimal, ColumnVector output) {
((DecimalColumnVector) output)
.vector[rowId].set(HiveDecimal.create(decimal.toJavaBigDecimal()));
}
}
private static class ListWriter<T> implements OrcValueWriter<ArrayData> {
private final OrcValueWriter<T> writer;
private final SparkOrcWriter.FieldGetter<T> fieldGetter;
@SuppressWarnings("unchecked")
ListWriter(OrcValueWriter<T> writer, List<TypeDescription> orcTypes) {
if (orcTypes.size() != 1) {
throw new IllegalArgumentException(
"Expected one (and same) ORC type for list elements, got: " + orcTypes);
}
this.writer = writer;
this.fieldGetter =
(SparkOrcWriter.FieldGetter<T>) SparkOrcWriter.createFieldGetter(orcTypes.get(0));
}
@Override
public void nonNullWrite(int rowId, ArrayData value, ColumnVector output) {
ListColumnVector cv = (ListColumnVector) output;
// record the length and start of the list elements
cv.lengths[rowId] = value.numElements();
cv.offsets[rowId] = cv.childCount;
cv.childCount = (int) (cv.childCount + cv.lengths[rowId]);
// make sure the child is big enough
growColumnVector(cv.child, cv.childCount);
// Add each element
for (int e = 0; e < cv.lengths[rowId]; ++e) {View on GitHub (pinned to 86d9c8fc54)
Solutions
- Verify the ORC TypeDescription for the list column has a single child (element type).
- Regenerate/rewrite the ORC schema with a standard writer.
- Check that the schema passed to SparkOrcWriter matches the actual file schema.
- Align Iceberg and ORC library versions.
Defensive patterns
Strategy: validation
Validate before calling
org.apache.orc.TypeDescription listType = schema.findSubtype("my_list");
if (listType.getChildren().size() != 1) {
throw new IllegalStateException("ORC list must have exactly one child type, got " + listType.getChildren());
} Type guard
static boolean isWellFormedOrcList(org.apache.orc.TypeDescription t) {
return t.getCategory() == org.apache.orc.TypeDescription.Category.LIST && t.getChildren().size() == 1;
} Prevention
- Write ORC with standard writers only
- Verify ORC file schemas after external writes
- Keep ORC library versions consistent
When it happens
Trigger: Constructing a ListWriter where the ORC child types list for a list column does not contain exactly one entry, typically due to a corrupted or mismatched ORC schema passed into SparkOrcWriter.
Common situations: Custom writer wiring, ORC schema produced by a foreign/buggy writer, or version mismatches where the ORC file schema's list encoding differs from expected.
Understand the failure class
Background: "This is a bug, please report it": internal invariant violations, unreachable panics, and SNH errors explained — this error's family across 47 libraries.
Related errors
- Expected two ORC type descriptions for a map, got:
- Expected one (and same) ORC type for list elements, got: {or
- Expected two ORC type descriptions for a map, got: {orcTypes
- Unhandled type
- Encountered an unsupported ORC type during a write from Spar
AI-assisted analysis of apache/iceberg@86d9c8fc54 (2026-09-12).
Data as JSON: /api/errors/7c1a5b2a8c687d63.
Report an issue: GitHub.