[SPARK-48241][SQL] CSV parsing failure with char/varchar type columns

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala

@@ -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.withMetadata(field.metadata)
         case _ => throw QueryExecutionErrors.resolveCannotHandleNestedSchema(this)
       }.getOrElse {
         throw QueryCompilationErrors.cannotResolveAttributeError(

sql/core/src/test/resources/test-data/char.csv

@@ -0,0 +1,4 @@
+color,name
+pink,Bob
+blue,Mike
+grey,Tom

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala

@@ -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(
@@ -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 {