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https://issues.apache.org/jira/browse/FLINK-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15957212#comment-15957212
]
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_r109933183
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/functions/utils/UserDefinedFunctionUtils.scala
---
@@ -209,22 +216,23 @@ object UserDefinedFunctionUtils {
*
* @param name function name
* @param tableFunction table function
- * @param resultType the type information of returned table
+ * @param implicitResultType the implicit type information of returned
table
* @param typeFactory type factory
* @return the TableSqlFunction
*/
def createTableSqlFunctions(
name: String,
tableFunction: TableFunction[_],
- resultType: TypeInformation[_],
+ implicitResultType: TypeInformation[_],
typeFactory: FlinkTypeFactory)
: Seq[SqlFunction] = {
- val (fieldNames, fieldIndexes, _) =
UserDefinedFunctionUtils.getFieldInfo(resultType)
val evalMethods = checkAndExtractEvalMethods(tableFunction)
evalMethods.map { method =>
- val function = new FlinkTableFunctionImpl(resultType, fieldIndexes,
fieldNames, method)
- TableSqlFunction(name, tableFunction, resultType, typeFactory,
function)
+ // we don't know the exact result type yet.
+ val function = new DeferredTypeFlinkTableFunction(
+ tableFunction, method, implicitResultType)
--- End diff --
parameters fit in line above
> 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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