cloud-fan commented on code in PR #50823:
URL: https://github.com/apache/spark/pull/50823#discussion_r2080665514
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sql/core/src/main/scala/org/apache/spark/sql/execution/GenerateExec.scala:
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@@ -86,12 +86,16 @@ case class GenerateExec(
val generatorNullRow = new
GenericInternalRow(generator.elementSchema.length)
val rows = if (requiredChildOutput.nonEmpty) {
- val pruneChildForResult: InternalRow => InternalRow =
- if (child.outputSet == AttributeSet(requiredChildOutput)) {
+ val pruneChildForResult: InternalRow => InternalRow = {
+ // The declared output of this operator is `requiredChildOutput ++
generatorOutput`.
+ // If `child.output` is different from `requiredChildOutput`, we
must do an projection
+ // to adjust the child output and make sure the final result matches
the declared output.
+ if (child.output == requiredChildOutput) {
Review Comment:
> if child.output was [a#1, b#2] but requiredChildOutput was [b#2, a#1]
This will not happen according to how we generate `requiredChildOutput`
today. The change here is to make sure the data matches its declared schema.
Even if this case happens (`[a#1, b#2]` vs `[b#2, a#1]`), we have to do a
projection to reorder the columns.
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