Github user icexelloss commented on a diff in the pull request: https://github.com/apache/spark/pull/18732#discussion_r142583338 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala --- @@ -44,14 +63,17 @@ case class ArrowEvalPythonExec(udfs: Seq[PythonUDF], output: Seq[Attribute], chi val schemaOut = StructType.fromAttributes(output.drop(child.output.length).zipWithIndex .map { case (attr, i) => attr.withName(s"_$i") }) + val batchSize = conf.arrowMaxRecordsPerBatch + val batchIter = if (batchSize > 0) new BatchIterator(iter, batchSize) else Iterator(iter) --- End diff -- This is actually my first implementation. However it turns out I cannot hold reference to input rows without copy so `grouped` doesn't work (grouped uses a ArrayBuffer to keep references)
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