maropu commented on a change in pull request #30372:
URL: https://github.com/apache/spark/pull/30372#discussion_r524941488
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
##########
@@ -1734,15 +1734,17 @@ object CodeGenerator extends Logging {
* Returns the specialized code to access a value from a column vector for a
given `DataType`.
*/
def getValueFromVector(vector: String, dataType: DataType, rowId: String):
String = {
- if (dataType.isInstanceOf[StructType]) {
- // `ColumnVector.getStruct` is different from `InternalRow.getStruct`,
it only takes an
- // `ordinal` parameter.
- s"$vector.getStruct($rowId)"
- } else {
- getValue(vector, dataType, rowId)
+ dataType match {
+ case udt: UserDefinedType[_] => getValueFromVector(vector, udt.sqlType,
rowId)
Review comment:
Does this issue only happens when using
`spark-bigquery-with-dependencies`? In the current spark codebase, it seems
dataType cannot be an user-defined type in this method.
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