zhuqi-lucas commented on code in PR #45314:
URL: https://github.com/apache/spark/pull/45314#discussion_r1513735868


##########
sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/HasPartitionSize.java:
##########
@@ -0,0 +1,36 @@
+/*
+ * 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.connector.read;
+
+import java.util.OptionalLong;
+
+/**
+ * A mix-in for input partitions whose records are clustered on the same set 
of partition keys
+ * (provided via {@link SupportsReportPartitioning}, see below). Data sources 
can opt-in to
+ * implement this interface for the partitions they report to Spark, which 
will use the info
+ * to decide whether partition grouping should be applied or not.
+ *
+ * @see org.apache.spark.sql.connector.read.SupportsReportPartitioning
+ * @since 4.0.0
+ */
+public interface HasPartitionSize extends InputPartition {

Review Comment:
   Thank you @sunchao for review, and this is a good suggestion, i check the 
Iceberg code, it includes the sizeBytes and estimatedRowsCount, filesCount.  
Let me address this!
   
   ```
     @Override
     default long sizeBytes() {
       return tasks().stream().mapToLong(ScanTask::sizeBytes).sum();
     }
   
     @Override
     default long estimatedRowsCount() {
       return tasks().stream().mapToLong(ScanTask::estimatedRowsCount).sum();
     }
   
     @Override
     default int filesCount() {
       return tasks().stream().mapToInt(ScanTask::filesCount).sum();
     }
   }
   ```



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