Github user leifwalsh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15821#discussion_r121921861
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
---
@@ -0,0 +1,423 @@
+/*
+* 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
+import java.nio.channels.Channels
+
+import scala.collection.JavaConverters._
+
+import io.netty.buffer.ArrowBuf
+import org.apache.arrow.memory.{BufferAllocator, RootAllocator}
+import org.apache.arrow.vector._
+import org.apache.arrow.vector.BaseValueVector.BaseMutator
+import org.apache.arrow.vector.file._
+import org.apache.arrow.vector.schema.{ArrowFieldNode, ArrowRecordBatch}
+import org.apache.arrow.vector.types.FloatingPointPrecision
+import org.apache.arrow.vector.types.pojo.{ArrowType, Field, FieldType,
Schema}
+import org.apache.arrow.vector.util.ByteArrayReadableSeekableByteChannel
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.types._
+import org.apache.spark.util.Utils
+
+
+/**
+ * Store Arrow data in a form that can be serialized by Spark.
+ */
+private[sql] class ArrowPayload(payload: Array[Byte]) extends Serializable
{
+
+ /**
+ * Create an ArrowPayload from an ArrowRecordBatch and Spark schema.
+ */
+ def this(batch: ArrowRecordBatch, schema: StructType, allocator:
BufferAllocator) = {
+ this(ArrowConverters.batchToByteArray(batch, schema, allocator))
+ }
+
+ /**
+ * Convert the ArrowPayload to an ArrowRecordBatch.
+ */
+ def loadBatch(allocator: BufferAllocator): ArrowRecordBatch = {
--- End diff --
The read path will hopefully soon be used, as we also want to use arrow to
move data from the executor to the python worker and back for UDF application.
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