Github user inouehrs commented on the issue:
https://github.com/apache/spark/pull/16391
I agree that it is quite nice to have multiple record types in the
benchmark to reveal the source of overheads!
I also observed the relative performances of RDD, DataFrame, Dataset become
quite different when only a primitive is used as the record type as discussed
in an old PR
(https://github.com/apache/spark/pull/13459/commits/f1e49f35e03c1d69662273b91b67b734d95b117b).
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
