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https://issues.apache.org/jira/browse/SPARK-17893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-17893.
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    Resolution: Not A Problem

This might be better as a question on the mailing list, not a JIRA. THis is 
already possible; have a look at the API docs: 
http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.expressions.Window

Look at rowsBetween, and look into LEAD/LAG for SQL syntax.

> Window functions should also allow looking back in time
> -------------------------------------------------------
>
>                 Key: SPARK-17893
>                 URL: https://issues.apache.org/jira/browse/SPARK-17893
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>    Affects Versions: 2.0.1
>            Reporter: Raviteja Lokineni
>
> This function should allow looking back. The current window(timestamp, 
> duration) seems to be for looking forward in time.
> Example:
> {code}dataFrame.groupBy(window("date", "7 days ago")).agg(min("col1"), 
> max("col1")){code}
> For example, if date: 2013-01-07 then the window should be 2013-01-01 - 
> 2013-01-07



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