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https://issues.apache.org/jira/browse/SPARK-17893?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15571556#comment-15571556
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Raviteja Lokineni commented on SPARK-17893:
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[~srowen] I don't find anything in the documentation which offsets by timestamp 
or date.
* 
http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.expressions.Window
** Offsets by number of rows ahead or behind
** In my case I do not have a fixed number of rows between dates
* 
http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.functions$
** I looked at all four definitions of lead/lag in the docs but it offsets only 
by number of rows, which in my case is not possible

FYI, the function that I was referring to was: {noformat}def
window(timeColumn: Column, windowDuration: String): Column{noformat}

> 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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