For now, user-defined window function is not supported. We will add it in future.
On Mon, Aug 24, 2015 at 6:26 AM, xander92 <alexander.fra...@ompnt.com> wrote: > The ultimate aim of my program is to be able to wrap an arbitrary Scala > function (mostly will be statistics / customized rolling window metrics) in > a UDF and evaluate them on DataFrames using the window functionality. > > So my main question is how do I express that a UDF takes a Frame of rows > from a DataFrame as an argument instead of just a single row? And what sort > of arguments would the arbitrary Scala function need to take in order to > handle the raw data from the Frame? > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/How-to-evaluate-custom-UDF-over-window-tp24419.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
