viirya commented on code in PR #36851:
URL: https://github.com/apache/spark/pull/36851#discussion_r906323749
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/SchemaPruning.scala:
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@@ -103,8 +104,14 @@ object SchemaPruning extends Rule[LogicalPlan] {
}
}
+ private def containsNestedColumn(fsRelation: HadoopFsRelation): Boolean =
Review Comment:
Hmm, does nested column pruning work for metadata columns? Nested column
pruning is basically to update required schema for file datasource like
parquet.
I think metadata columns are directly reported from datasource to Spark. For
example, `FileFormat` adds metadata columns separately during reading data. It
is not covered by the nested column pruning logic.
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