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[SPARK-48308][CORE][3.5] Unify getting data schema without partition columns in FileSourceStrategy #47483

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[SPARK-48308][CORE][3.5] Unify getting data schema without partition columns in FileSourceStrategy #47483

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3 changes: 1 addition & 2 deletions sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -210,9 +210,8 @@ object FileSourceStrategy extends Strategy with PredicateHelper with Logging {
val requiredExpressions: Seq[NamedExpression] = filterAttributes.toSeq ++ projects
val requiredAttributes = AttributeSet(requiredExpressions)

val readDataColumns = dataColumns
val readDataColumns = dataColumnsWithoutPartitionCols
.filter(requiredAttributes.contains)
.filterNot(partitionColumns.contains)

// Metadata attributes are part of a column of type struct up to this point. Here we extract
// this column from the schema and specify a matcher for that.
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