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Date: Fri, 7 Apr 2017 12:50:42 +0000 (UTC)
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Subject: [jira] [Commented] (FLINK-6196) Support dynamic schema in Table
 Function
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archived-at: Fri, 07 Apr 2017 12:50:48 -0000


    [ https://issues.apache.org/jira/browse/FLINK-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15960728#comment-15960728 ] 

ASF GitHub Bot commented on FLINK-6196:
---------------------------------------

Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3623#discussion_r110379996
  
    --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/schema/DeferredTypeFlinkTableFunction.scala ---
    @@ -40,6 +43,10 @@ class DeferredTypeFlinkTableFunction(
         val implicitResultType: TypeInformation[_])
       extends FlinkTableFunction(tableFunction, evalMethod) {
     
    +  val paramTypeInfos = evalMethod.getParameterTypes.map { paramType =>
    +    TypeExtractor.getForClass(paramType)
    --- End diff --
    
    The type extraction does not always work (esp. not for Row). That's why I think that passing `Class[_]` might be better.


> Support dynamic schema in Table Function
> ----------------------------------------
>
>                 Key: FLINK-6196
>                 URL: https://issues.apache.org/jira/browse/FLINK-6196
>             Project: Flink
>          Issue Type: Improvement
>          Components: Table API & SQL
>            Reporter: Zhuoluo Yang
>            Assignee: Zhuoluo Yang
>
> In many of our use cases. We have to decide the schema of a UDTF at the run time. For example. udtf('c1, c2, c3') will generate three columns for a lateral view. 
> Most systems such as calcite and hive support this feature. However, the current implementation of flink didn't implement the feature correctly.


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