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https://issues.apache.org/jira/browse/FLINK-11220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16738018#comment-16738018
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Fabian Hueske commented on FLINK-11220:
---------------------------------------

Yes. 
We should add variants for Scala parameters (with {{Expression}} instead of 
{{String}}) and Scala's implicit conversions ({{Table}} -> 
{{TableConversions}}).
In addition we should have this for retraction streams as well.



> Can not Select row time field in JOIN query
> -------------------------------------------
>
>                 Key: FLINK-11220
>                 URL: https://issues.apache.org/jira/browse/FLINK-11220
>             Project: Flink
>          Issue Type: Bug
>          Components: Table API & SQL
>    Affects Versions: 1.8.0
>            Reporter: sunjincheng
>            Priority: Major
>
> SQL:
> {code:java}
> Orders...toTable(tEnv, 'orderId, 'orderTime.rowtime)
> Payment...toTable(tEnv, 'orderId, 'payTime.rowtime)
> SELECT orderTime, o.orderId, payTime
>   FROM Orders AS o JOIN Payment AS p
>   ON o.orderId = p.orderId AND
>      p.payTime BETWEEN orderTime AND orderTime + INTERVAL '1' HOUR
> {code}
> Execption:
> {code:java}
> org.apache.flink.table.api.TableException: Found more than one rowtime field: 
> [orderTime, payTime] in the table that should be converted to a DataStream.
> Please select the rowtime field that should be used as event-time timestamp 
> for the DataStream by casting all other fields to TIMESTAMP.
> at 
> org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:906)
> {code}
> The reason for the error is that we have 2 time fields `orderTime` and  
> `payTime`.  I think we do not  need throw the exception, and we can remove 
> the logic of `plan.process(new OutputRowtimeProcessFunction[A](conversion, 
> rowtimeFields.head.getIndex))`, if we want using the timestamp after 
> toDataSteram, we should using `assignTimestampsAndWatermarks()`.
> What do you think ? [~twalthr] [~fhueske] 
>  



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