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https://issues.apache.org/jira/browse/FLINK-8577?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16698770#comment-16698770
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ASF GitHub Bot commented on FLINK-8577:
---------------------------------------

pnowojski commented on a change in pull request #6787: [FLINK-8577][table] 
Implement proctime DataStream to Table upsert conversion
URL: https://github.com/apache/flink/pull/6787#discussion_r236177333
 
 

 ##########
 File path: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/api/TableEnvironment.scala
 ##########
 @@ -1101,6 +1114,10 @@ abstract class TableEnvironment(val config: 
TableConfig) {
             referenceByName(name, p).map((_, name))
           case Alias(UnresolvedFieldReference(origName), name: String, _) =>
             referenceByName(origName, p).map((_, name))
+          case (Key(UnresolvedFieldReference(name: String))) =>
 
 Review comment:
   Tbh, at this moment I'm not sure if adding `Key` as nested case class was a 
good idea. It adds quite a lot of boiler plate and special handling in multiple 
places, which contradicts a clean code. 
   
   I wonder if `UnresolvedFieldReference` shouldn't have some kind of "trait" 
that's a primary key. Where by a "trait" I mean any way to determine if that's 
a primary key or not. For example either some boolean flag or maybe introducing 
an `UnresolvedKeyFieldReference` that extends from `UnresolvedFieldReference`? 
I think both of those solutions would allow avoid this code/handling 
duplication in most of the places and special handle  `Key` only where it is 
necessary. 

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> Implement proctime DataStream to Table upsert conversion.
> ---------------------------------------------------------
>
>                 Key: FLINK-8577
>                 URL: https://issues.apache.org/jira/browse/FLINK-8577
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: Hequn Cheng
>            Assignee: Hequn Cheng
>            Priority: Major
>              Labels: pull-request-available
>
> Api will looks like:
> {code:java}
> DataStream[(String, Long, Int)] input = ???
> // upsert with keyTable 
> table = tEnv.upsertFromStream(input, 'a, 'b, 'c.key)
> // upsert without key -> single row tableTable 
> table = tEnv.upsertFromStream(input, 'a, 'b, 'c){code}
> A simple design 
> [doc|https://docs.google.com/document/d/1yMEi9xkm3pNYNmmZykbLzqtKjFVezaWe0y7Xqd0c1zE/edit?usp=sharing]
>  about this subtask.



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