hvanhovell commented on code in PR #55768:
URL: https://github.com/apache/spark/pull/55768#discussion_r3260498783
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sql/core/src/main/scala/org/apache/spark/sql/classic/Dataset.scala:
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@@ -1521,14 +1462,36 @@ class Dataset[T] private[sql](
isBarrier: Boolean = false,
profile: ResourceProfile = null): DataFrame = {
val func = funcCol.expr
- Dataset.ofRows(
- sparkSession,
+ val output = toAttributes(func.dataType.asInstanceOf[StructType])
+
+ if (SQLConf.get.getConf(SQLConf.UNIFIED_UDF_EXECUTION_ENABLED)) {
Review Comment:
I know this is early days, but can you do me a favor here. Can we define an
interface for UDF planning. One for the current implementation and one for the
new one? This way we need only one if/else statement, and we can keep the
implementations separate...
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