Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/18732#discussion_r143802697
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala
---
@@ -44,14 +73,18 @@ 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
+ // DO NOT use iter.grouped(). See BatchIterator.
--- End diff --
Maybe put the reason not to use `grouped()`, I think it can make copies of
the rows is that right?
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