Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/4421#issuecomment-73625791
Types need to exist, but names don't. They can just be random column names
like _1, _2, _3.
In Scala, if you import sqlContext.implicits._, then any RDD[Product]
(which includes RDD of case classes and RDD of tuples) can be implicitly turned
into a DataFrame.
In Python, I think we can add an explicit method that turns a RDD of tuple
into a DataFrame, if that doesn't exist yet.
---
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 infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
