cloud-fan commented on a change in pull request #31993:
URL: https://github.com/apache/spark/pull/31993#discussion_r613895096
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/SchemaPruning.scala
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@@ -32,11 +33,10 @@ object SchemaPruning {
// in the resulting schema may differ from their ordering in the logical
relation's
// original schema
val mergedSchema = requestedRootFields
- .map { case root: RootField => StructType(Array(root.field)) }
+ .map { root: RootField => StructType(Array(root.field)) }
.reduceLeft(_ merge _)
- val dataSchemaFieldNames = dataSchema.fieldNames.toSet
val mergedDataSchema =
- StructType(mergedSchema.filter(f =>
dataSchemaFieldNames.contains(f.name)))
+ StructType(dataSchema.map(s =>
mergedSchema.find(_.name.equals(s.name)).getOrElse(s)))
Review comment:
What's wrong with the previous behavior? We can't sacrifice performance
for all the cases only because the ORC by ordinal case is problematic.
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