[
https://issues.apache.org/jira/browse/FLINK-22689?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yunfeng Zhou updated FLINK-22689:
---------------------------------
Description:
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.
was:
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]
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);
}
}
}
The code above would throw an exception like this:
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)
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.
> 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 / Ecosystem
> 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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