Github user julienledem commented on a diff in the pull request:
https://github.com/apache/spark/pull/15821#discussion_r105322283
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/ArrowConverters.scala ---
@@ -0,0 +1,411 @@
+/*
+* 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
+
+import java.io.ByteArrayOutputStream
+import java.nio.ByteBuffer
+import java.nio.channels.{Channels, SeekableByteChannel}
+
+import scala.collection.JavaConverters._
+
+import io.netty.buffer.ArrowBuf
+import org.apache.arrow.memory.{BaseAllocator, RootAllocator}
+import org.apache.arrow.vector._
+import org.apache.arrow.vector.BaseValueVector.BaseMutator
+import org.apache.arrow.vector.file.{ArrowReader, ArrowWriter}
+import org.apache.arrow.vector.schema.{ArrowFieldNode, ArrowRecordBatch}
+import org.apache.arrow.vector.types.{FloatingPointPrecision, TimeUnit}
+import org.apache.arrow.vector.types.pojo.{ArrowType, Field, Schema}
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.types._
+
+
+/**
+ * ArrowReader requires a seekable byte channel.
+ * NOTE - this is taken from test org.apache.vector.file, see about moving
to public util pkg
+ */
+private[sql] class ByteArrayReadableSeekableByteChannel(var byteArray:
Array[Byte])
+ extends SeekableByteChannel {
+ var _position: Long = 0L
+
+ override def isOpen: Boolean = {
+ byteArray != null
+ }
+
+ override def close(): Unit = {
+ byteArray = null
+ }
+
+ override def read(dst: ByteBuffer): Int = {
+ val remainingBuf = byteArray.length - _position
+ val length = Math.min(dst.remaining(), remainingBuf).toInt
+ dst.put(byteArray, _position.toInt, length)
+ _position += length
+ length.toInt
+ }
+
+ override def position(): Long = _position
+
+ override def position(newPosition: Long): SeekableByteChannel = {
+ _position = newPosition.toLong
+ this
+ }
+
+ override def size: Long = {
+ byteArray.length.toLong
+ }
+
+ override def write(src: ByteBuffer): Int = {
+ throw new UnsupportedOperationException("Read Only")
+ }
+
+ override def truncate(size: Long): SeekableByteChannel = {
+ throw new UnsupportedOperationException("Read Only")
+ }
+}
+
+/**
+ * Intermediate data structure returned from Arrow conversions
+ */
+private[sql] abstract class ArrowPayload extends Iterator[ArrowRecordBatch]
+
+/**
+ * Build a payload from existing ArrowRecordBatches
+ */
+private[sql] class ArrowStaticPayload(batches: ArrowRecordBatch*) extends
ArrowPayload {
+ private val iter = batches.iterator
+ override def next(): ArrowRecordBatch = iter.next()
+ override def hasNext: Boolean = iter.hasNext
+}
+
+/**
+ * Class that wraps an Arrow RootAllocator used in conversion
+ */
+private[sql] class ArrowConverters {
+ private val _allocator = new RootAllocator(Long.MaxValue)
+
+ private[sql] def allocator: RootAllocator = _allocator
+
+ def interalRowIterToPayload(rowIter: Iterator[InternalRow], schema:
StructType): ArrowPayload = {
+ val batch = ArrowConverters.internalRowIterToArrowBatch(rowIter,
schema, allocator)
+ new ArrowStaticPayload(batch)
+ }
+
+ def readPayloadByteArrays(payloadByteArrays: Array[Array[Byte]]):
ArrowPayload = {
+ val batches =
scala.collection.mutable.ArrayBuffer.empty[ArrowRecordBatch]
+ var i = 0
+ while (i < payloadByteArrays.length) {
+ val payloadBytes = payloadByteArrays(i)
+ val in = new ByteArrayReadableSeekableByteChannel(payloadBytes)
+ val reader = new ArrowReader(in, _allocator)
+ val footer = reader.readFooter()
+ val batchBlocks = footer.getRecordBatches.asScala.toArray
+ batchBlocks.foreach(block => batches +=
reader.readRecordBatch(block))
+ i += 1
+ }
+ new ArrowStaticPayload(batches: _*)
+ }
+}
+
+private[sql] object ArrowConverters {
+
+ /**
+ * Map a Spark Dataset type to ArrowType.
+ */
+ private[sql] def sparkTypeToArrowType(dataType: DataType): ArrowType = {
+ dataType match {
+ case BooleanType => ArrowType.Bool.INSTANCE
+ case ShortType => new ArrowType.Int(8 * ShortType.defaultSize, true)
+ case IntegerType => new ArrowType.Int(8 * IntegerType.defaultSize,
true)
+ case LongType => new ArrowType.Int(8 * LongType.defaultSize, true)
+ case FloatType => new
ArrowType.FloatingPoint(FloatingPointPrecision.SINGLE)
+ case DoubleType => new
ArrowType.FloatingPoint(FloatingPointPrecision.DOUBLE)
+ case ByteType => new ArrowType.Int(8, true)
+ case StringType => ArrowType.Utf8.INSTANCE
+ case BinaryType => ArrowType.Binary.INSTANCE
+ case DateType => ArrowType.Date.INSTANCE
+ case TimestampType => new ArrowType.Timestamp(TimeUnit.MILLISECOND)
+ case _ => throw new UnsupportedOperationException(s"Unsupported data
type: $dataType")
+ }
+ }
+
+ /**
+ * Iterate over InternalRows and write to an ArrowRecordBatch.
+ */
+ private def internalRowIterToArrowBatch(
+ rowIter: Iterator[InternalRow],
+ schema: StructType,
+ allocator: RootAllocator): ArrowRecordBatch = {
+
+ val columnWriters = schema.fields.zipWithIndex.map { case (field,
ordinal) =>
+ ColumnWriter(ordinal, allocator, field.dataType)
+ .init()
+ }
+
+ val writerLength = columnWriters.length
+ while (rowIter.hasNext) {
+ val row = rowIter.next()
+ var i = 0
+ while (i < writerLength) {
+ columnWriters(i).write(row)
+ i += 1
+ }
+ }
+
+ val fieldAndBuf = columnWriters.map { writer =>
+ writer.finish()
+ }.unzip
+ val fieldNodes = fieldAndBuf._1
+ val buffers = fieldAndBuf._2.flatten
--- End diff --
how about
```
val (fieldNodes, buf) = columnWriters.map( _.finish()).unzip
val buffers = buf.flatten
```
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