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Original file line number Diff line number Diff line change
Expand Up @@ -118,7 +118,9 @@ abstract class LogicalPlan
def resolve(schema: StructType, resolver: Resolver): Seq[Attribute] = {
schema.map { field =>
resolve(field.name :: Nil, resolver).map {
case a: AttributeReference => a
case a: AttributeReference =>
// Keep the metadata in given schema.
a.copy(metadata = field.metadata)(exprId = a.exprId, qualifier = a.qualifier)

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a.withMetadata(field.metadata)

case _ => throw QueryExecutionErrors.resolveCannotHandleNestedSchema(this)
}.getOrElse {
throw QueryCompilationErrors.cannotResolveAttributeError(
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4 changes: 4 additions & 0 deletions sql/core/src/test/resources/test-data/char.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,4 @@
color,name
pink,Bob
blue,Mike
grey,Tom
Original file line number Diff line number Diff line change
Expand Up @@ -80,6 +80,7 @@ abstract class CSVSuite
private val valueMalformedFile = "test-data/value-malformed.csv"
private val badAfterGoodFile = "test-data/bad_after_good.csv"
private val malformedRowFile = "test-data/malformedRow.csv"
private val charFile = "test-data/char.csv"

/** Verifies data and schema. */
private def verifyCars(
Expand Down Expand Up @@ -3342,6 +3343,29 @@ abstract class CSVSuite
expected)
}
}

test("SPARK-48241: CSV parsing failure with char/varchar type columns") {
withTable("charVarcharTable") {
spark.sql(
s"""
|CREATE TABLE charVarcharTable(
| color char(4),
| name varchar(10))
|USING csv
|OPTIONS (
| header "true",
| path "${testFile(charFile)}"
|)
""".stripMargin)
val expected = Seq(
Row("pink", "Bob"),
Row("blue", "Mike"),
Row("grey", "Tom"))
checkAnswer(
sql("SELECT * FROM charVarcharTable"),
expected)
}
}
}

class CSVv1Suite extends CSVSuite {
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