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Re: [jira] [Commented] (FLINK-8353) Add support for timezones

Time zone is a very useful feature, I think there are three levels of time
zone settings (priority from high to low):
1. connectors: For example, the time zone of the time field in the kafaka
2. job level: Specifies which time zone the current job uses, perhaps
specified by TableConfig or StreamQueryConfig
3. The system default, effective for all jobs, can be specified by

2018-05-29 22:52 GMT+08:00 Weike Dong (JIRA) <jira@xxxxxxxxxx>:

>     [ https://issues.apache.org/jira/browse/FLINK-8353?page=
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> Weike Dong commented on FLINK-8353:
> -----------------------------------
> I strongly support these features, preferably there could be a way to set
> a specific timezone for a particular job, so that all the subsequent
> temporal processing could be based on that. As user's input data are often
> collected from other systems that do not follow the rules set by Flink
> (UTC+0), currently some temporal UDFs are needed to perform such
> transformations, which adds the complexity for the whole system, especially
> in case of watermark generation or output of processing time into external
> database, etc.
> > Add support for timezones
> > -------------------------
> >
> >                 Key: FLINK-8353
> >                 URL: https://issues.apache.org/jira/browse/FLINK-8353
> >             Project: Flink
> >          Issue Type: New Feature
> >          Components: Table API &amp; SQL
> >            Reporter: Timo Walther
> >            Priority: Major
> >
> > This is an umbrella issue for adding support for timezones in the Table
> & SQL API.
> > Usually companies work with different timezones simultaneously. We could
> add support for the new time classes introduced with Java 8 and enable our
> scalar functions to also work with those (or some custom time class
> implementations like those from Calcite). We need a good design for this to
> address most of the problems users face related to timestamp and timezones.
> > It is up for discussion how to ship date, time, timestamp instances
> through the cluster.
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