cloud-fan commented on code in PR #38750:
URL: https://github.com/apache/spark/pull/38750#discussion_r1035869504


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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/types/PhysicalDataType.scala:
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@@ -0,0 +1,55 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.types
+
+import org.apache.spark.sql.types._
+
+sealed abstract class PhysicalDataType
+
+case class PhysicalArrayType(elementType: DataType, containsNull: Boolean) 
extends PhysicalDataType
+
+case class PhysicalBinaryType() extends PhysicalDataType

Review Comment:
   for physical types without parameters, shall we follow logical type and have 
both class and object?
   ```
   class LongType private() ...
   case object LongType extends LongType
   ```
   
   The benefit is: it's a singleton and we can save memory usage. The matching 
code in Scala can be
   ```
   if (dt == PhysicalBinaryType)..
   pdt match {
     case PhysicalBinaryType => ...
   }
   ```



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