aokolnychyi commented on a change in pull request #35395:
URL: https://github.com/apache/spark/pull/35395#discussion_r823360477



##########
File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/InMemoryRowLevelOperationTable.scala
##########
@@ -0,0 +1,96 @@
+/*
+ * 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 java.util
+
+import org.apache.spark.sql.connector.distributions.{Distribution, 
Distributions}
+import org.apache.spark.sql.connector.expressions.{FieldReference, 
LogicalExpressions, NamedReference, SortDirection, SortOrder, Transform}
+import org.apache.spark.sql.connector.read.{Scan, ScanBuilder}
+import org.apache.spark.sql.connector.write.{BatchWrite, LogicalWriteInfo, 
RequiresDistributionAndOrdering, RowLevelOperation, RowLevelOperationBuilder, 
RowLevelOperationInfo, Write, WriteBuilder, WriterCommitMessage}
+import org.apache.spark.sql.connector.write.RowLevelOperation.Command
+import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+class InMemoryRowLevelOperationTable(
+    name: String,
+    schema: StructType,
+    partitioning: Array[Transform],
+    properties: util.Map[String, String])
+  extends InMemoryTable(name, schema, partitioning, properties) with 
SupportsRowLevelOperations {
+
+  override def newRowLevelOperationBuilder(
+      info: RowLevelOperationInfo): RowLevelOperationBuilder = {
+    () => PartitionBasedOperation(info.command)
+  }
+
+  case class PartitionBasedOperation(command: Command) extends 
RowLevelOperation {
+    private final val PARTITION_COLUMN_REF = 
FieldReference(PartitionKeyColumn.name)
+
+    var configuredScan: InMemoryBatchScan = _
+
+    override def requiredMetadataAttributes(): Array[NamedReference] = {
+      Array(PARTITION_COLUMN_REF)
+    }
+
+    override def newScanBuilder(options: CaseInsensitiveStringMap): 
ScanBuilder = {
+      new InMemoryScanBuilder(schema) {
+        override def build: Scan = {
+          val scan = super.build()
+          configuredScan = scan.asInstanceOf[InMemoryBatchScan]
+          scan
+        }
+      }
+    }
+
+    override def newWriteBuilder(info: LogicalWriteInfo): WriteBuilder = new 
WriteBuilder {
+
+      override def build(): Write = new Write with 
RequiresDistributionAndOrdering {
+        override def requiredDistribution(): Distribution = {
+          Distributions.clustered(Array(PARTITION_COLUMN_REF))
+        }
+
+        override def requiredOrdering(): Array[SortOrder] = {
+          Array[SortOrder](
+            LogicalExpressions.sort(
+              PARTITION_COLUMN_REF,
+              SortDirection.ASCENDING,
+              SortDirection.ASCENDING.defaultNullOrdering())
+          )
+        }
+
+        override def toBatch: BatchWrite = 
PartitionBasedReplaceData(configuredScan)
+
+        override def description(): String = "InMemoryWrite"
+      }
+    }
+
+    override def description(): String = "InMemoryPartitionReplaceOperation"
+  }
+
+  private case class PartitionBasedReplaceData(scan: InMemoryBatchScan) 
extends TestBatchWrite {
+
+    override def commit(messages: Array[WriterCommitMessage]): Unit = 
dataMap.synchronized {
+      val newData = messages.map(_.asInstanceOf[BufferedRows])
+      val readRows = scan.data.flatMap(_.asInstanceOf[BufferedRows].rows)

Review comment:
       In case of regular Hive tables, runtime filtering can still use data 
columns.




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