Github user citoubest commented on the issue:
https://github.com/apache/spark/pull/15135
OK, because pandas dataframe support the added approach to agg, so I
suppose maybe spark dataframe should support, but it not. So I have tried to
add this patch. If you think this patch is not necessary , I will close this
request later. @rxin .
---
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]
