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https://issues.apache.org/jira/browse/SPARK-14160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-14160.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12008
[https://github.com/apache/spark/pull/12008]
> Windowing for structured streaming
> ----------------------------------
>
> Key: SPARK-14160
> URL: https://issues.apache.org/jira/browse/SPARK-14160
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Burak Yavuz
> Fix For: 2.0.0
>
>
> This JIRA is to track the status regarding event time windowing operations
> for Continuous queries.
> The proposition is to add a
> {code}
> window(timeColumn, windowDuration, slideDuration, startTime)
> {code} expression that will bucket time columns into time windows. This
> expression will be useful in both batch analysis and streaming. With
> streaming, it will open up the use case for event-time window aggregations.
> For R, and Python interoperability, we will take windowDuration,
> slideDuration, startTime as strings and parse interval lengths.
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