Kimahriman commented on code in PR #731:
URL: https://github.com/apache/datafusion-comet/pull/731#discussion_r1693981470
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spark/src/main/scala/org/apache/spark/sql/comet/CometRowToColumnarExec.scala:
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@@ -60,8 +62,17 @@ case class CometRowToColumnarExec(child: SparkPlan)
val timeZoneId = conf.sessionLocalTimeZone
val schema = child.schema
- child
- .execute()
+ val rdd: RDD[InternalRow] = if (child.supportsColumnar) {
+ child
+ .executeColumnar()
+ .mapPartitionsInternal { iter =>
+ iter.flatMap(_.rowIterator().asScala)
+ }
+ } else {
+ child.execute()
+ }
Review Comment:
I mean I would say this is no more-or-less just for testing than the
existing use cases for CometRowToColumnarExec. I was using this for real
queries while testing this out on real data. It could be a legitimate use
depending on when complex type support is added to the parquet readers.
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