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ASF GitHub Bot commented on FLINK-6196: --------------------------------------- Github user KurtYoung commented on a diff in the pull request: https://github.com/apache/flink/pull/3623#discussion_r108318419 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/functions/TableFunction.scala --- @@ -86,12 +90,79 @@ abstract class TableFunction[T] extends UserDefinedFunction { * @return [[Expression]] in form of a [[TableFunctionCall]] */ final def apply(params: Expression*)(implicit typeInfo: TypeInformation[T]): Expression = { - val resultType = if (getResultType == null) { - typeInfo + buildTableFunctionCall(getClass.getSimpleName, typeInfo, params: _*) + } + + /** + * Build a TableFunctionCall, a name and a sequence of params will determine a unique + * [[TableFunctionCall]] + * + * @param name function name + * @param implicitResultType If no result type returned, it will use this type. + * @param params The input expressions + * @return A unique [[TableFunctionCall]] + */ + private[table] def buildTableFunctionCall(name: String, --- End diff -- Can we move this to a util class? Since this is a user facing API class, we don't want to expose such kind of thing. > 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)