[GLUTEN-11921] Support NullType Parquet read/write

gluten-ut/spark41/src/test/scala/org/apache/gluten/utils/velox/VeloxTestSettings.scala

@@ -547,7 +547,6 @@ class VeloxTestSettings extends BackendTestSettings {
     // TODO: fix on Spark-4.1
     .excludeByPrefix("SPARK-53535") // see https://issues.apache.org/jira/browse/SPARK-53535
     .excludeByPrefix("vectorized reader: missing all struct fields")
-    .excludeByPrefix("SPARK-54220") // https://issues.apache.org/jira/browse/SPARK-54220
   enableSuite[GlutenParquetV1PartitionDiscoverySuite]
   enableSuite[GlutenParquetV2PartitionDiscoverySuite]
   enableSuite[GlutenParquetProtobufCompatibilitySuite]

gluten-ut/spark41/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/GlutenParquetIOSuite.scala

@@ -17,14 +17,51 @@
 package org.apache.spark.sql.execution.datasources.parquet
 
 import org.apache.spark.sql._
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types.{IntegerType, StringType, StructType}
 
 /** A test suite that tests basic Parquet I/O. */
 class GlutenParquetIOSuite extends ParquetIOSuite with GlutenSQLTestsBaseTrait {
+  override def testNameBlackList: Seq[String] =
+    Seq("SPARK-54220: vectorized reader: missing all struct fields, struct with NullType only")
+
   override protected def testFile(fileName: String): String = {
     getWorkspaceFilePath("sql", "core", "src", "test", "resources").toString + "/" + fileName
   }
 
   override protected def readResourceParquetFile(name: String): DataFrame = {
     spark.read.parquet(testFile(name))
   }
+
+  testGluten(
+    "SPARK-54220: vectorized reader: missing all struct fields, struct with NullType only") {
+    val data = Seq(
+      Tuple1((null, null)),
+      Tuple1((null, null)),
+      Tuple1(null)
+    )
+    val readSchema = new StructType().add(
+      "_1",
+      new StructType()
+        .add("_3", IntegerType, nullable = true)
+        .add("_4", StringType, nullable = true),
+      nullable = true)
+    val expectedAnswer = Row(Row(null, null)) :: Row(Row(null, null)) :: Row(null) :: Nil
+
+    withParquetFile(data) {
+      file =>
+        for (offheapEnabled <- Seq(true, false)) {
+          withSQLConf(
+            SQLConf.PARQUET_VECTORIZED_READER_NESTED_COLUMN_ENABLED.key -> "true",
+            SQLConf.LEGACY_PARQUET_RETURN_NULL_STRUCT_IF_ALL_FIELDS_MISSING.key -> "false",
+            SQLConf.COLUMN_VECTOR_OFFHEAP_ENABLED.key -> offheapEnabled.toString
+          ) {
+            withAllParquetReaders {
+              val df = spark.read.schema(readSchema).parquet(file)
+              checkAnswer(df, expectedAnswer)
+            }
+          }
+        }
+    }
+  }
 }