aokolnychyi commented on a change in pull request #1738:
URL: https://github.com/apache/iceberg/pull/1738#discussion_r519559625



##########
File path: 
spark3/src/main/java/org/apache/spark/sql/connector/catalog/SupportsRowLevelOperations.java
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@@ -0,0 +1,27 @@
+/*
+ * 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.catalog;
+
+import org.apache.spark.sql.connector.write.LogicalWriteInfo;
+import org.apache.spark.sql.connector.write.RowLevelOperationsBuilder;
+
+public interface SupportsRowLevelOperations extends Table {

Review comment:
       The only worry I have with `replace` is the meaning it has in Iceberg. 
When I hear `replace`, I usually assume a compaction job where the data does 
not change.
   
   Do you see a separate interface for merge-on-read? I am not entirely sure we 
don't need any coordination between scans and writes for merge-on-read, though. 
For example, we still want to propagate the expression that was used to scan 
for checking concurrently appended files under serializable isolation.




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