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https://issues.apache.org/jira/browse/SPARK-17893?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15571582#comment-15571582
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Raviteja Lokineni commented on SPARK-17893:
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[~srowen] No it's not actually streaming.
Let me explain my use case:
* We get data in batches
* Once the data is available it has a Date column and a few other numeric
columns
* Now for every unique date that is available I have to look back 7 days and
aggregate all the numeric columns
I am looking at past records not future.
> 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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