Github user dwmclary commented on the pull request:
https://github.com/apache/spark/pull/4421#issuecomment-73623236
Reynold,
It is similar, but I think the distinction here is that toDataFrame
appears to require that old names (and a schema) exist. Or, at least
that's what DataFrameImpl.scala suggests:
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala,
line 93.
I think there's a benefit for a quick way to get a DataFrame from a
"plain" RDD. If we don't want to do @davies applyNames idea, then maybe we
can change the behavior of toDataFrame.
Cheers,
Dan
On Mon, Feb 9, 2015 at 4:33 PM, Reynold Xin <[email protected]>
wrote:
> In particular, I'm talking about
>
https://github.com/apache/spark/blob/68b25cf695e0fce9e465288d5a053e540a3fccb4/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala#L105
>
> â
> Reply to this email directly or view it on GitHub
> <https://github.com/apache/spark/pull/4421#issuecomment-73621532>.
>
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