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https://issues.apache.org/jira/browse/FLINK-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15960722#comment-15960722
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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_r110379666
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/functions/TableFunction.scala
---
@@ -135,8 +135,11 @@ abstract class TableFunction[T] extends
UserDefinedFunction {
*
* @param arguments arguments of a function call (only literal arguments
* are passed, nulls for non-literal ones)
+ * @param typeInfos The type information of the parameters. only valid
argument types
+ * are passed, nulls for non-valid ones.
* @return [[TypeInformation]] of result type or null if Flink should
determine the type
*/
- def getResultType(arguments: java.util.List[AnyRef]): TypeInformation[T]
= null
+ def getResultType(arguments: java.util.List[AnyRef],
+ typeInfos: java.util.List[TypeInformation[_]]):
TypeInformation[T] = null
--- End diff --
I was thinking about this again. Maybe we should pass a `List[Class[_]]`
rather than `List[TypeInformation[_]]`. The `eval` method receives regular
classes (or primitives) and does not have to deal with type informations.
What do you think, @clarkyzl and @KurtYoung?
> 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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