[GLUTEN-1476][VL] Enable scan on array type

backends-velox/src/main/scala/io/glutenproject/backendsapi/velox/VeloxBackend.scala

@@ -52,9 +52,17 @@ object BackendSettings extends BackendSettingsApi {
       // Collect unsupported types.
       val unsupportedDataTypes = fields.map(_.dataType).collect {
         case _: ByteType => "ByteType"
-        case _: ArrayType => "ArrayType"
-        case mapType: MapType if mapType.keyType.isInstanceOf[StructType] => "StructType as Key in MapType"
-        // Parquet scan of nested map with struct as key type is not supported in Velox.
+        // Parquet scan of nested array with struct/array as element type is not supported in Velox.
+        case arrayType: ArrayType if arrayType.elementType.isInstanceOf[StructType] =>
+          "StructType as element type in ArrayType"
+        case arrayType: ArrayType if arrayType.elementType.isInstanceOf[ArrayType] =>
+          "ArrayType as element type in ArrayType"
+        // Parquet scan of nested map with struct as key type,
+        // or array type as value type is not supported in Velox.
+        case mapType: MapType if mapType.keyType.isInstanceOf[StructType] =>
+          "StructType as Key type in MapType"
+        case mapType: MapType if mapType.valueType.isInstanceOf[ArrayType] =>
+          "ArrayType as Value type in MapType"
       }
       for (unsupportedDataType <- unsupportedDataTypes) {
         // scalastyle:off println

backends-velox/src/test/scala/io/glutenproject/execution/VeloxDataTypeValidationSuite.scala

@@ -289,9 +289,16 @@ class VeloxDataTypeValidationSuite extends WholeStageTransformerSuite {
   }
 
   test("Array type") {
+    // Validation: BatchScan.
+    runQueryAndCompare("select array from type1") {
+      checkOperatorMatch[BatchScanExecTransformer]}
+
     // Validation: BatchScan Project Aggregate Expand Sort Limit
     runQueryAndCompare("select int, array from type1 " +
-      " group by grouping sets(int, array) sort by array, int limit 1") { _ => }
+      " group by grouping sets(int, array) sort by array, int limit 1") { df => {
+      val executedPlan = getExecutedPlan(df)
+      assert(executedPlan.exists(plan => plan.isInstanceOf[BatchScanExecTransformer]))
+    }}
 
     // Validation: BroadHashJoin, Filter, Project
     super.sparkConf.set("spark.sql.autoBroadcastJoinThreshold", "10M")

gluten-ut/spark33/src/test/scala/io/glutenproject/utils/velox/VeloxTestSettings.scala

@@ -637,6 +637,11 @@ class VeloxTestSettings extends BackendTestSettings {
     // Struct reader does not support implicit schema pruning.
     .exclude("vectorized reader: missing some struct fields")
     .exclude("vectorized reader: missing all struct fields")
+    // TODO: Unsupported Array schema in Parquet.
+    .exclude("vectorized reader: optional array with required elements")
+    .exclude("vectorized reader: required array with required elements")
+    .exclude("vectorized reader: required array with optional elements")
+    .exclude("vectorized reader: required array with legacy format")
   enableSuite[GlutenParquetV1PartitionDiscoverySuite]
     // Timezone is not supported yet.
     .exclude("Resolve type conflicts - decimals, dates and timestamps in partition column")