[
https://issues.apache.org/jira/browse/FLINK-22689?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jark Wu updated FLINK-22689:
----------------------------
Component/s: (was: Table SQL / Ecosystem)
Table SQL / API
> Table API Documentation Row-Based Operations Example Fails
> ----------------------------------------------------------
>
> Key: FLINK-22689
> URL: https://issues.apache.org/jira/browse/FLINK-22689
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / API
> Affects Versions: 1.12.1
> Reporter: Yunfeng Zhou
> Priority: Major
>
> I wrote the following program according to the example code provided in
> [Documentation/Table API/Row-based
> operations|https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/dev/table/tableapi/#row-based-operations]
> {code:java}
> public class TableUDF {
> public static void main(String[] args) {
> StreamExecutionEnvironment env =
> StreamExecutionEnvironment.createLocalEnvironment();
> StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
>
> Table input = tEnv.fromValues(
> DataTypes.of("ROW<c STRING>"),
> Row.of("name")
> );
>
> ScalarFunction func = new MyMapFunction();
> tEnv.registerFunction("func", func);
>
> Table table = input
> .map(call("func", $("c")).as("a", "b")); // exception occurs
> here
>
> table.execute().print();
> }
>
> public static class MyMapFunction extends ScalarFunction {
> public Row eval(String a) {
> return Row.of(a, "pre-" + a);
> }
>
> @Override
> public TypeInformation<?> getResultType(Class<?>[] signature) {
> return Types.ROW(Types.STRING, Types.STRING);
> }
> }
> }
> {code}
> The code above would throw an exception like this:
> {code}
> Exception in thread "main" org.apache.flink.table.api.ValidationException:
> Only a scalar function can be used in the map operator.
> at
> org.apache.flink.table.operations.utils.OperationTreeBuilder.map(OperationTreeBuilder.java:480)
> at org.apache.flink.table.api.internal.TableImpl.map(TableImpl.java:519)
> at org.apache.flink.ml.common.function.TableUDFBug.main(TableUDF.java:29)
> {code}
> The core of the program above is identical to that provided in flink
> documentation, but it cannot function correctly. This might affect users who
> want to use custom function with table API.
>
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