zhengruifeng commented on code in PR #38468:
URL: https://github.com/apache/spark/pull/38468#discussion_r1018741978
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sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala:
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@@ -128,6 +128,97 @@ private[sql] object ArrowConverters extends Logging {
}
}
+ private[sql] def toArrowBatchIterator(
+ rowIter: Iterator[InternalRow],
+ schema: StructType,
+ maxRecordsPerBatch: Int,
+ timeZoneId: String): Iterator[(Array[Byte], Long, Long)] = {
+ val arrowSchema = ArrowUtils.toArrowSchema(schema, timeZoneId)
+ val allocator = ArrowUtils.rootAllocator.newChildAllocator(
+ "toArrowBatchIterator", 0, Long.MaxValue)
+
+ val root = VectorSchemaRoot.create(arrowSchema, allocator)
+ val unloader = new VectorUnloader(root)
+ val arrowWriter = ArrowWriter.create(root)
+
+ Option(TaskContext.get).foreach {
+ _.addTaskCompletionListener[Unit] { _ =>
+ root.close()
+ allocator.close()
+ }
+ }
+
+ new Iterator[(Array[Byte], Long, Long)] {
+
+ override def hasNext: Boolean = rowIter.hasNext || {
+ root.close()
+ allocator.close()
+ false
+ }
+
+ override def next(): (Array[Byte], Long, Long) = {
+ val out = new ByteArrayOutputStream()
+ val writeChannel = new WriteChannel(Channels.newChannel(out))
+
+ var rowCount = 0L
+ var estimatedSize = SizeEstimator.estimate(arrowSchema) +
+ SizeEstimator.estimate(IpcOption.DEFAULT)
+ Utils.tryWithSafeFinally {
+ while (rowIter.hasNext && (maxRecordsPerBatch <= 0 || rowCount <
maxRecordsPerBatch)) {
+ val row = rowIter.next()
+ arrowWriter.write(row)
+ rowCount += 1
+ estimatedSize += SizeEstimator.estimate(row)
+ }
+ arrowWriter.finish()
+ val batch = unloader.getRecordBatch()
+
+ MessageSerializer.serialize(writeChannel, arrowSchema)
+ MessageSerializer.serialize(writeChannel, batch)
+ ArrowStreamWriter.writeEndOfStream(writeChannel, IpcOption.DEFAULT)
+
+ batch.close()
+ } {
+ arrowWriter.reset()
+ }
+
+ (out.toByteArray, rowCount, estimatedSize)
+ }
+ }
+ }
+
+ private[sql] def createEmptyArrowBatch(
Review Comment:
let me take a look
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