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https://issues.apache.org/jira/browse/FLINK-8866?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16531114#comment-16531114
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ASF GitHub Bot commented on FLINK-8866:
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Github user fhueske commented on the issue:

    https://github.com/apache/flink/pull/6201
  
    Hi @suez1224, that sounds good overall. :-)
    
    A few comments:
    
    - I would not add a user-facing property `connector.support-timestamp` 
because a user chooses that by choosing the connector type. Whether the 
connector supports writing a system timestamp can be an internal 
field/annotation/interface of the `TableSink` that is generated from the 
properties.
    - Copying the timestamp to the StreamRecord timestamp field can be done 
with a process function. Actually, we do that already when converting a Table 
into a DataStream. Setting the flag in the Kafka TableSink should be easy.
    - Not sure if `from-source` needs to be supported by the initial version. 
We could just implement `from-field` for now, and handle `from-source` as a 
follow up issue. Since we are approaching feature freeze, I think this might be 
a good idea at this point.
    
    What do you think?
    Fabian


> Create unified interfaces to configure and instatiate TableSinks
> ----------------------------------------------------------------
>
>                 Key: FLINK-8866
>                 URL: https://issues.apache.org/jira/browse/FLINK-8866
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table API & SQL
>            Reporter: Timo Walther
>            Assignee: Shuyi Chen
>            Priority: Major
>              Labels: pull-request-available
>
> Similar to the efforts done in FLINK-8240. We need unified ways to configure 
> and instantiate TableSinks. Among other applications, this is necessary in 
> order to declare table sinks in an environment file of the SQL client. Such 
> that the sink can be used for {{INSERT INTO}} statements.
> Below are a few major changes in mind. 
> 1) Add TableSinkFactory/TableSinkFactoryService similar to 
> TableSourceFactory/TableSourceFactoryService
> 2) Add a common property called "type" with values (source, sink and both) 
> for both TableSource and TableSink.
> 3) in yaml file, replace "sources" with "tables", and use tableType to 
> identify whether it's source or sink.



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