Hi Koert,
Thank you for your help! GOT IT!
Best Regards,
Jerry
On Wed, Feb 1, 2017 at 6:24 PM, Koert Kuipers wrote:
> you can still use it as Dataset[Set[X]]. all transformations should work
> correctly.
>
> however dataset.schema will show binary type, and dataset.show will show
> bytes (unf
you can still use it as Dataset[Set[X]]. all transformations should work
correctly.
however dataset.schema will show binary type, and dataset.show will show
bytes (unfortunately).
for example:
scala> implicit def setEncoder[X]: Encoder[Set[X]] = Encoders.kryo[Set[X]]
setEncoder: [X]=> org.apache
Hi Koert,
Thanks for the tips. I tried to do that but the column's type is now
Binary. Do I get the Set[X] back in the Dataset?
Best Regards,
Jerry
On Tue, Jan 31, 2017 at 8:04 PM, Koert Kuipers wrote:
> set is currently not supported. you can use kryo encoder. there is no
> other work aroun
set is currently not supported. you can use kryo encoder. there is no other
work around that i know of.
import org.apache.spark.sql.{ Encoder, Encoders }
implicit def setEncoder[X]: Encoder[Set[X]] = Encoders.kryo[Set[X]]
On Tue, Jan 31, 2017 at 7:33 PM, Jerry Lam wrote:
> Hi guys,
>
> I got an
