Kimahriman commented on code in PR #731:
URL: https://github.com/apache/datafusion-comet/pull/731#discussion_r1693981470
##########
spark/src/main/scala/org/apache/spark/sql/comet/CometRowToColumnarExec.scala:
##########
@@ -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.
--
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: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
