sven-weber-db commented on code in PR #55768:
URL: https://github.com/apache/spark/pull/55768#discussion_r3280527660
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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:
Yes, as discussed offline: I introduced a new planning node, which captures
the whole UDF planning. There is a single branch when building the session
state, which decides, if the new or the legacy planning will be used.
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