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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_r108320419 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/schema/FlinkTableFunctionImpl.scala --- @@ -27,52 +27,73 @@ import org.apache.flink.api.common.typeinfo.{AtomicType, TypeInformation} import org.apache.flink.api.common.typeutils.CompositeType import org.apache.flink.table.api.TableException import org.apache.flink.table.calcite.FlinkTypeFactory +import org.apache.flink.table.functions.utils.UserDefinedFunctionUtils +import org.apache.flink.table.functions.{TableFunction => FlinkUDTF} /** * This is heavily inspired by Calcite's [[org.apache.calcite.schema.impl.TableFunctionImpl]]. * We need it in order to create a [[org.apache.flink.table.functions.utils.TableSqlFunction]]. * The main difference is that we override the [[getRowType()]] and [[getElementType()]]. + * + * @param tableFunction The Table Function instance + * @param implicitResultType The implicit result type. + * @param evalMethod The eval() method of the [[tableFunction]] */ -class FlinkTableFunctionImpl[T]( - val typeInfo: TypeInformation[T], - val fieldIndexes: Array[Int], - val fieldNames: Array[String], - val evalMethod: Method) +class FlinkTableFunctionImpl[T](val tableFunction: FlinkUDTF[_], --- End diff -- Can we just separate this implementation into 2 classes, one for which we already know the type, and one for whose type has not been decided yet. Why i suggesting this is that i noticed `tableFunction.getResultType` is called multiple times when evaluating the plan, even we had already determine the row type long time ago, i.e. when `apply` method from `TableFunction` has been called. > 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)