> On 29 Apr 2019, at 11:12 PM, Timo Walther <twal...@apache.org> wrote:
>
> Hi Sung,
>
> private fields are only supported if you specify getters and setters
> accordingly. Otherwise you need to use `Row.class` and perform the mapping in
> a subsequent map() function manually via reflection.
>
> Regards,
> Timo
>
>
> Am 29.04.19 um 15:44 schrieb Sung Gon Yi:
>> In
>> https://ci.apache.org/projects/flink/flink-docs-release-1.8/dev/table/common.html#convert-a-table-into-a-datastream-or-dataset
>>
>> <https://ci.apache.org/projects/flink/flink-docs-release-1.8/dev/table/common.html#convert-a-table-into-a-datastream-or-dataset>,
>> POJO data type is available to convert to DataStream.
>>
>> I would like to use POJO data type class with private fields. I wonder it is
>> possible or not officially.
>> Any currently it does not work.
>>
>> Codes:
>> —————
>> CsvTableSource as = CsvTableSource.builder()
>> .path("aa.csv")
>> .field("name", STRING)
>> .field("value", INT)
>> .build();
>> Table aa = tEnv.fromTableSource(as);
>> tEnv.toAppendStream(aa, P.class);
>> —————
>> public class P implements Serializable {
>> private String name;
>> private Integer value;
>> }
>> —————
>>
>> Above codes, I got below error message:
>> ==========
>> Exception in thread "main" org.apache.flink.table.api.TableException: Arity
>> [2] of result [ArrayBuffer(String, Integer)] does not match the number[1] of
>> requested type [GenericType<aa.P>].
>> at
>> org.apache.flink.table.api.TableEnvironment.generateRowConverterFunction(TableEnvironment.scala:1165)
>> at
>> org.apache.flink.table.api.StreamTableEnvironment.getConversionMapper(StreamTableEnvironment.scala:423)
>> at
>> org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:936)
>> at
>> org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:866)
>> at
>> org.apache.flink.table.api.java.StreamTableEnvironment.toAppendStream(StreamTableEnvironment.scala:202)
>> at
>> org.apache.flink.table.api.java.StreamTableEnvironment.toAppendStream(StreamTableEnvironment.scala:156)
>> at ...
>> ==========
>>
>> When fields of class P are changed to “public”, it works well.
>> —————
>> public class P implements Serializable {
>> public String name;
>> public Integer value;
>> }
>> —————
>>
>> Thanks,
>> skonmeme
>>
>>
>>
>
