diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
index 89d65e13fb57..ceb9726bc6d6 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
@@ -89,8 +89,9 @@ abstract class LogicalPlan
     }
   }
 
-  private[this] lazy val childAttributes =
-    AttributeSeq(children.flatMap(c => c.output ++ c.metadataOutput))
+  private[this] lazy val childAttributes = AttributeSeq(children.flatMap(_.output))
+
+  private[this] lazy val childMetadataAttributes = AttributeSeq(children.flatMap(_.metadataOutput))
 
   private[this] lazy val outputAttributes = AttributeSeq(output)
 
@@ -103,6 +104,7 @@ abstract class LogicalPlan
       nameParts: Seq[String],
       resolver: Resolver): Option[NamedExpression] =
     childAttributes.resolve(nameParts, resolver)
+      .orElse(childMetadataAttributes.resolve(nameParts, resolver))
 
   /**
    * Optionally resolves the given strings to a [[NamedExpression]] based on the output of this
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
index 2f57298856fb..be71ae2b4d7d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
@@ -2492,6 +2492,37 @@ class DataSourceV2SQLSuite
     }
   }
 
+  test("SPARK-34547: metadata columns are resolved last") {
+    val t1 = s"${catalogAndNamespace}tableOne"
+    val t2 = "t2"
+    withTable(t1) {
+      sql(s"CREATE TABLE $t1 (id bigint, data string) USING $v2Format " +
+        "PARTITIONED BY (bucket(4, id), id)")
+      sql(s"INSERT INTO $t1 VALUES (1, 'a'), (2, 'b'), (3, 'c')")
+      withTempView(t2) {
+        sql(s"CREATE TEMPORARY VIEW $t2 AS SELECT * FROM " +
+          s"VALUES (1, -1), (2, -2), (3, -3) AS $t2(id, index)")
+
+        val sqlQuery = spark.sql(s"SELECT $t1.id, $t2.id, data, index, $t1.index, $t2.index FROM " +
+          s"$t1 JOIN $t2 WHERE $t1.id = $t2.id")
+        val t1Table = spark.table(t1)
+        val t2Table = spark.table(t2)
+        val dfQuery = t1Table.join(t2Table, t1Table.col("id") === t2Table.col("id"))
+          .select(s"$t1.id", s"$t2.id", "data", "index", s"$t1.index", s"$t2.index")
+
+        Seq(sqlQuery, dfQuery).foreach { query =>
+          checkAnswer(query,
+            Seq(
+              Row(1, 1, "a", -1, 0, -1),
+              Row(2, 2, "b", -2, 0, -2),
+              Row(3, 3, "c", -3, 0, -3)
+            )
+          )
+        }
+      }
+    }
+  }
+
   test("SPARK-33505: insert into partitioned table") {
     val t = "testpart.ns1.ns2.tbl"
     withTable(t) {