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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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Apache Spark reassigned SPARK-21590:
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Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> 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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