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https://issues.apache.org/jira/browse/FLINK-10489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-10489:
-----------------------------------
      Labels: auto-deprioritized-major auto-deprioritized-minor auto-unassigned 
 (was: auto-deprioritized-major auto-unassigned stale-minor)
    Priority: Not a Priority  (was: Minor)

This issue was labeled "stale-minor" 7 days ago and has not received any 
updates so it is being deprioritized. If this ticket is actually Minor, please 
raise the priority and ask a committer to assign you the issue or revive the 
public discussion.


> Inconsistent window information for streams with EventTime characteristic
> -------------------------------------------------------------------------
>
>                 Key: FLINK-10489
>                 URL: https://issues.apache.org/jira/browse/FLINK-10489
>             Project: Flink
>          Issue Type: Bug
>          Components: Table SQL / API
>         Environment: Flink v1.5.3
>            Reporter: Alexis Sarda-Espinosa
>            Priority: Not a Priority
>              Labels: auto-deprioritized-major, auto-deprioritized-minor, 
> auto-unassigned
>
> Consider the following program.
> {code:java}
> void temp() throws Exception {
>     StreamExecutionEnvironment execEnv = 
> StreamExecutionEnvironment.getExecutionEnvironment();
>     StreamTableEnvironment tableEnv = 
> TableEnvironment.getTableEnvironment(execEnv);
>     execEnv.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
>     DataStream<Tuple3<Timestamp, String, Double>> source = execEnv
>             .fromElements(
>                     new Tuple3<>(Timestamp.valueOf("2018-09-20 22:00:00"), 
> "a", 1.3),
>                     new Tuple3<>(Timestamp.valueOf("2018-09-20 22:01:00"), 
> "a", 2.1),
>                     new Tuple3<>(Timestamp.valueOf("2018-09-20 22:02:00"), 
> "a", 3.0),
>                     new Tuple3<>(Timestamp.valueOf("2018-09-20 22:00:00"), 
> "b", 2.2),
>                     new Tuple3<>(Timestamp.valueOf("2018-09-20 22:01:00"), 
> "b", 1.8)
>             )
>             .assignTimestampsAndWatermarks(new WaterMarker());
>     Table table = tableEnv.fromDataStream(source, "f0, f1, f2, 
> rowtime.rowtime")
>             
> .window(Slide.over("2.minutes").every("1.minute").on("rowtime").as("w"))
>             .groupBy("f1, w")
>             .select("f1, w.end - 1.minute, f2.sum");
>     tableEnv.toAppendStream(table, Row.class).print();
>     execEnv.execute();
> }
> public static class WaterMarker implements 
> AssignerWithPunctuatedWatermarks<Tuple3<Timestamp, String, Double>> {
>     @Nullable
>     @Override
>     public Watermark checkAndGetNextWatermark(Tuple3<Timestamp, String, 
> Double> lastElement, long extractedTimestamp) {
>         return new Watermark(extractedTimestamp);
>     }
>     @Override
>     public long extractTimestamp(Tuple3<Timestamp, String, Double> element, 
> long previousElementTimestamp) {
>         return element.f0.getTime();
>     }
> }
> {code}
> I am seeing an output like the following, where the hour is offset by 2 hours:
> {code:java}
> a,2018-09-20 20:00:00.0,1.3
> a,2018-09-20 20:01:00.0,3.4000000000000004
> a,2018-09-20 20:02:00.0,5.1
> a,2018-09-20 20:03:00.0,3.0
> {code}
> My local time zone is GMT+01:00, and indeed the input timestamps are parsed 
> with this time zone, but even if the window-end is printed as GMT, it should 
> show 21:0x:00. In my tests, where I actually collect the output and can see 
> the actual {{java.sql.Timestamp}} instances, I can always see this extra 1 
> hour offset.



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