Thanks for the answer Dawid and the helper function, Timo it's not too bad for my use case (small number of fields), I just wanted to make sure I am not missing something here.
Cheers, Johannes On Thu, Oct 4, 2018 at 5:07 PM Timo Walther <twal...@apache.org> wrote: > Hi Johannes, > > this is not supported so far. You could write a little helper method like > the following: > > val s: Seq[Expression] = > Types.of[WC].asInstanceOf[CaseClassTypeInfo[WC]].fieldNames.map(Symbol(_).toExpr) > val s2: Seq[Expression] = s :+ 'rowtime.rowtime > > tEnv.fromDataSet(input, s2: _*) > > > Not a very nice solution, but it should work. > > Regards, > Timo > > Am 04.10.18 um 15:40 schrieb Dawid Wysakowicz: > > Hi Johannes, > > I am afraid that this is currently not possible and indeed you have to > pass all fields again, but Timo cced might want to correct me if I am wrong. > > Best, > > Dawid > > > On 04/10/18 15:08, Johannes Schulte wrote: > > Hi, > > when converting a DataStream (with Watermarks) to a table like > described here > https://ci.apache.org/projects/flink/flink-docs-release-1.6/dev/table/streaming.html#event-time > > I wonder on how to use the rowtime in a following window operation > _without_ explicitly specifying all field names and hence rely on case > class type inference. > > Currently when operating on a stream of events > > case class Event(field1: String, ts: long) > > val ds: DataStream[Event] = ... > > I have to do > > tableEnv.fromDataStream(ds, 'field1, 'ts, 'myRowtime.rowtime) > > to do > > .window(Tumble over 1.hours on 'myRowtime as 'w) > > afterwards. Is there a way to create the TimeAttribute column without > specifiying all fields again? > > Thanks for yout help, > > Johannes > > > >
