Yes, as[T] is lazy as any transformation is, but in terms of data
processing not schema. You seem to imply the as[T] is lazy in terms of
the schema, where I do no know of any other transformation that behaves
like this.
Your proposed solution works, because the map transformation returns the
I think it's simply because as[T] is lazy. You will see the right schema if
you do `df.as[T].map(identity)`.
On Tue, Jan 7, 2020 at 4:42 PM Enrico Minack wrote:
> Hi Devs,
>
> I'd like to propose a stricter version of as[T]. Given the interface def
> as[T](): Dataset[T], it is
Hi Devs,
I'd like to propose a stricter version of as[T]. Given the interface def
as[T](): Dataset[T], it is counter-intuitive that the schema of the
returned Dataset[T] is not agnostic to the schema of the originating
Dataset. The schema should always be derived only from T.
I am proposing
