Yes, it can be! There is a sql function called current_timestamp() which is
self-explanatory. So I believe you should be able to do something like
import org.apache.spark.sql.functions._
ds.withColumn("processingTime", current_timestamp())
.groupBy(window("processingTime", "1 minute"))
.count()
On Mon, Aug 28, 2017 at 5:46 AM, madhu phatak <phatak....@gmail.com> wrote:
> Hi,
> As I am playing with structured streaming, I observed that window function
> always requires a time column in input data.So that means it's event time.
>
> Is it possible to old spark streaming style window function based on
> processing time. I don't see any documentation on the same.
>
> --
> Regards,
> Madhukara Phatak
> http://datamantra.io/
>
