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https://issues.apache.org/jira/browse/SPARK-21590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-21590:
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    Issue Type: Improvement  (was: Bug)

> Structured Streaming window start time should support negative values to 
> adjust time zone
> -----------------------------------------------------------------------------------------
>
>                 Key: SPARK-21590
>                 URL: https://issues.apache.org/jira/browse/SPARK-21590
>             Project: Spark
>          Issue Type: Improvement
>          Components: Structured Streaming
>    Affects Versions: 2.0.0, 2.0.1, 2.1.0, 2.2.0
>         Environment: spark 2.2.0
>            Reporter: Kevin Zhang
>              Labels: spark-sql, spark2.2, streaming, structured, timezone, 
> window
>
> I want to calculate (unique) daily access count using structured streaming 
> (2.2.0). 
> Now strut streaming' s window with 1 day duration starts at 
> 00:00:00 UTC and ends at 23:59:59 UTC each day, but my local timezone is CST 
> (UTC + 8 hours) and I
> want date boundaries to be 00:00:00 CST (that is 00:00:00 UTC - 8). 
> In Flink I can set the window offset to -8 hours to make it, but here in 
> struct streaming if I set the start time (same as the offset in Flink) to -8 
> or any other negative values, I will get the following error:
> {code:java}
> Exception in thread "main" org.apache.spark.sql.AnalysisException: cannot 
> resolve 'timewindow(timestamp, 86400000000, 86400000000, -28800000000)' due 
> to data type mismatch: The start time (-28800000000) must be greater than or 
> equal to 0.;;
> {code}
> because the time window checks the input parameters to guarantee each value 
> is greater than or equal to 0.
> So I'm thinking about whether we can remove the limit that the start time 
> cannot be negative?



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