Update test.

sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala

@@ -28,7 +28,8 @@ import org.apache.spark.{AccumulatorSuite, SparkException}
 import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
 import org.apache.spark.sql.catalyst.expressions.GenericRow
 import org.apache.spark.sql.catalyst.expressions.aggregate.{Complete, Partial}
-import org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation
+import org.apache.spark.sql.catalyst.optimizer.{ConvertToLocalRelation, NestedColumnAliasingSuite}
+import org.apache.spark.sql.catalyst.plans.logical.Project
 import org.apache.spark.sql.catalyst.util.StringUtils
 import org.apache.spark.sql.execution.HiveResult.hiveResultString
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
@@ -3396,13 +3397,24 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
 
   test("SPARK-30870: Column pruning shouldn't alias a nested column if it means the whole " +
     "structure") {
-    val df = sql(
-      """
-        |SELECT explodedvalue.field
-        |FROM VALUES array(named_struct('field', named_struct('a', 1, 'b', 2))) AS (value)
-        |LATERAL VIEW explode(value) AS explodedvalue
-      """.stripMargin)
-    checkAnswer(df, Row(Row(1, 2)) :: Nil)
+    withTable("t") {
+      val df = sql(
+        """
+          |SELECT value
+          |FROM VALUES array(named_struct('field', named_struct('a', 1, 'b', 2))) AS (value)
+        """.stripMargin)
+      df.write.format("parquet").saveAsTable("t")
+
+      val df2 = spark.table("t")
+        .limit(100)
+        .select(size(col("value.field")))
+      val projects = df2.queryExecution.optimizedPlan.collect {
+        case p: Project => p
+      }
+      assert(projects.length == 1)
+      val aliases = NestedColumnAliasingSuite.collectGeneratedAliases(projects(0))
+      assert(aliases.length == 0)
+    }
   }
 }