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ASF GitHub Bot commented on FLINK-6196: --------------------------------------- Github user clarkyzl commented on a diff in the pull request: https://github.com/apache/flink/pull/3623#discussion_r110577213 --- 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 -- Yes. I agree with you. I think the List[Class[_]] will make users easier to parse. > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346)