amogh-jahagirdar commented on code in PR #50246:
URL: https://github.com/apache/spark/pull/50246#discussion_r2006549214
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/RewriteRowLevelCommand.scala:
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@@ -273,9 +273,8 @@ trait RewriteRowLevelCommand extends Rule[LogicalPlan] {
outputs: Seq[Seq[Expression]],
colOrdinals: Seq[Int],
attrs: Seq[Attribute]): ProjectingInternalRow = {
- val schema = StructType(attrs.zipWithIndex.map { case (attr, index) =>
- val nullable = outputs.exists(output =>
output(colOrdinals(index)).nullable)
- StructField(attr.name, attr.dataType, nullable, attr.metadata)
+ val schema = StructType(attrs.zipWithIndex.map { case (attr, _) =>
+ StructField(attr.name, attr.dataType, attr.nullable, attr.metadata)
Review Comment:
I also encountered the same issues when testing out an Iceberg v3 feature
with the spark 4.0 integration. That said, I vaguely recall there was some
reasoning for this nullability being derived from the output instead of the
attribute itself. Let me see if I can dig through PRs and find that info. Maybe
it no longer holds true
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