HyukjinKwon commented on a change in pull request #24095: [SPARK-27163][PYTHON] Cleanup and consolidate Pandas UDF functionality URL: https://github.com/apache/spark/pull/24095#discussion_r265815684
########## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/python/FlatMapGroupsInPandasExec.scala ########## @@ -145,7 +146,15 @@ case class FlatMapGroupsInPandasExec( sessionLocalTimeZone, pythonRunnerConf).compute(grouped, context.partitionId(), context) - columnarBatchIter.flatMap(_.rowIterator.asScala).map(UnsafeProjection.create(output, output)) + columnarBatchIter.flatMap { batch => + // Grouped Map UDF returns a StructType column in ColumnarBatch, select the children here + // TODO: ColumnVector getChild is protected, so use ArrowColumnVector which is public + val structVector = batch.column(0).asInstanceOf[ArrowColumnVector] + val outputVectors = output.indices.map(structVector.getChild(_).asInstanceOf[ColumnVector]) Review comment: Another concern is tho .. I think all of Arrow implementations (including SparkR ones) dont modify the batch's outputs but use the batch as are. ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org