This is the original ticket: https://issues.apache.org/jira/browse/SPARK-1442
I believe it will happen, one way or another :) On Fri, Feb 6, 2015 at 5:29 PM, Evan R. Sparks <evan.spa...@gmail.com> wrote: > Currently there's no standard way of handling time series data in Spark. We > were kicking around some ideas in the lab today and one thing that came up > was SQL Window Functions as a way to support them and query over time > series (do things like moving average, etc.) > > These don't seem to be implemented in Spark SQL yet, but there's some > discussion on JIRA (https://issues.apache.org/jira/browse/SPARK-3587) > asking for them, and there have also been a couple of pull requests - > https://github.com/apache/spark/pull/3703 and > https://github.com/apache/spark/pull/2953. > > Is any work currently underway here? >
