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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. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)