[jira] [Resolved] (SPARK-14160) Windowing for structured streaming

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-14160.
--------------------------------------
       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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