zhengruifeng commented on code in PR #38468: URL: https://github.com/apache/spark/pull/38468#discussion_r1013549587
########## sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala: ########## @@ -128,6 +128,65 @@ private[sql] object ArrowConverters extends Logging { } } + private[sql] def toArrowBatchIterator( + rowIter: Iterator[InternalRow], + schema: StructType, + maxRecordsPerBatch: Int, + timeZoneId: String, + context: TaskContext): 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) + + if (context != null) { // for test at driver + context.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 = 0L + 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) Review Comment: i had tried to split schema and record batches, but didn't find an easy way to do this. Then made this change as per @grundprinzip and @HyukjinKwon suggestion -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org