wengh commented on code in PR #50531:
URL: https://github.com/apache/spark/pull/50531#discussion_r2032220968
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sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInBatchEvaluatorFactory.scala:
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@@ -75,6 +77,12 @@ class MapInBatchEvaluatorFactory(
val unsafeProj = UnsafeProjection.create(output, output)
columnarBatchIter.flatMap { batch =>
+ // Ensure the schema matches the expected schema
+ val actualSchema = batch.column(0).dataType()
+ if (!outputSchema.sameType(actualSchema)) { // Ignore nullability
mismatch for now
Review Comment:
Yeah, not ignoring nullability breaks many of existing tests (e.g. where
expected field is not nullable but actual field is nullable but there's no null
values, so the actual schema is technically wrong but not causing any problems)
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