viirya commented on code in PR #53232:
URL: https://github.com/apache/spark/pull/53232#discussion_r2566698276


##########
sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowFileReadWrite.scala:
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@@ -0,0 +1,110 @@
+/*
+ * 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.execution.arrow
+
+import java.io.{ByteArrayOutputStream, FileOutputStream}
+import java.nio.channels.Channels
+import java.nio.file.Files
+import java.nio.file.Paths
+
+import scala.jdk.CollectionConverters._
+
+import org.apache.arrow.vector._
+import org.apache.arrow.vector.ipc.{ArrowFileReader, ArrowFileWriter, 
WriteChannel}
+import org.apache.arrow.vector.ipc.message.MessageSerializer
+import org.apache.arrow.vector.types.pojo.Schema
+
+import org.apache.spark.sql.classic.{DataFrame, SparkSession}
+import org.apache.spark.sql.util.ArrowUtils
+
+private[sql] class SparkArrowFileWriter(
+  arrowSchema: Schema,
+  path: String) extends AutoCloseable {
+  private val allocator =
+    ArrowUtils.rootAllocator.newChildAllocator(
+      s"to${this.getClass.getSimpleName}", 0, Long.MaxValue)
+
+  protected val root = VectorSchemaRoot.create(arrowSchema, allocator)
+  protected val loader = new VectorLoader(root)
+  protected val arrowWriter = ArrowWriter.create(root)
+
+  protected val fileWriter =
+    new ArrowFileWriter(root, null, Channels.newChannel(new 
FileOutputStream(path)))
+
+  override def close(): Unit = {
+    root.close()
+    allocator.close()
+    fileWriter.close()
+  }
+
+  def write(batchBytesIter: Iterator[Array[Byte]]): Unit = {

Review Comment:
   Dataset is already distributed on executors. Rows are written into Arrow 
batches in executors. If they are not to distributed again, they could be in 
Arrow batches, no?



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