apache/beam · error · IllegalArgumentException
Unsupported vector type: <type>
Error message
Unsupported vector type: <type>
What it means
SerializableRow.getVectorValue() converts ColumnVector entries into Java objects for the supported DataType set; an unrecognized vector DataType throws IllegalArgumentException 'Unsupported vector type: <type>'. It is the vectorized counterpart of getValue()'s unsupported-type error and is reached while converting arrays/maps/keys.
Source
Thrown at sdks/java/io/delta/src/main/java/org/apache/beam/sdk/io/delta/SerializableRow.java:286
StructType structType = (StructType) type;
int numFields = structType.fields().size();
ColumnVector[] childFields = new ColumnVector[numFields];
for (int j = 0; j < numFields; j++) {
childFields[j] = vector.getChild(j);
}
return new SerializableRow(new VectorRow(structType, childFields, index));
} else if (type instanceof DateType) {
return vector.getInt(index);
} else if (type instanceof TimestampType) {
return vector.getLong(index);
} else if (type instanceof ArrayType) {
ArrayValue arr = vector.getArray(index);
return convertArray(arr, (ArrayType) type);
} else if (type instanceof MapType) {
MapValue map = vector.getMap(index);
return convertMap(map, (MapType) type);
}
throw new IllegalArgumentException("Unsupported vector type: " + type);
}
private static List<@Nullable Object> convertArray(ArrayValue arr, ArrayType arrayType) {
int size = arr.getSize();
ColumnVector elements = arr.getElements();
DataType elementType = arrayType.getElementType();
List<@Nullable Object> result = new ArrayList<>(size);
for (int i = 0; i < size; i++) {
result.add(getVectorValue(elements, i, elementType));
}
return result;
}
private static Map<Object, @Nullable Object> convertMap(MapValue map, MapType mapType) {
int size = map.getSize();
ColumnVector keys = map.getKeys();
ColumnVector values = map.getValues();
DataType keyType = mapType.getKeyType();View on GitHub (pinned to 12126d8942)
Solutions
- Upgrade the Beam Delta IO connector and io.delta kernel dependencies to versions supporting the nested element type
- Locate the offending nested column (array element or map key/value type) from the table schema
- Rewrite the table casting the nested element type to a supported one
- Flatten or restructure the schema (e.g. store complex values as JSON strings) if the type remains unsupported
Example fix
// before
// map<string, unsupported_nested_type> in the table
PCollection<Row> rows = input.apply(DeltaIO.read().withTable(path).withStartVersion(0L));
// after
-- rewrite the table casting the nested element type (Spark example)
df = spark.read.format("delta").load(path).withColumn("m", expr("map_from_entries(transform(map_entries(m), e -> (e.key, cast(e.value as string))))"))
df.write.format("delta").mode("overwrite").save(path) Defensive patterns
Strategy: validation
Validate before calling
// Recursively check nested array/map element types for supported mappings before reading checkNested(deltaSchema); // throws if any nested element/key/value DataType is unsupported
Try / catch
try {
rows = input.apply(deltaIO);
} catch (IllegalArgumentException e) {
if (e.getMessage().startsWith("Unsupported vector type:")) {
// restructure nested collections to supported element types, or upgrade connector
} else { throw e; }
} Prevention
- Keep nested array/map element types to primitives the connector supports
- Test reads against a small version range when adopting tables with deep/nested schemas
- Upgrade beam-sdks-java-io-delta and delta kernel together to avoid type-mapping skew
When it happens
Trigger: While serializing array elements or map keys/values during processElement, a nested ColumnVector carries a Delta DataType with no conversion mapping.
Common situations: Nested arrays/maps containing newer Delta element types the connector doesn't support; version skew between delta kernel and the Beam Delta IO connector; tables written by newer Delta writer versions.
Understand the failure class
Background: UnsupportedOperationException and "is not supported" errors: when a library deliberately refuses a call — this error's family across 30 libraries.
Related errors
- Unsupported type: <type>
- Unsupported type: <type.getClass()>
- Unsupported vector type: <type.getClass()>
- cannot encode a null Integer
- cannot encode a null Long
AI-assisted analysis of apache/beam@12126d8942 (2026-09-13).
Data as JSON: /api/errors/fce94ea47ef68ef5.
Report an issue: GitHub.