[jira] [Commented] (BEAM-9814) Error occurred when transforming from row to a new row without setCoder

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-9814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17182760#comment-17182760 ] 

Beam JIRA Bot commented on BEAM-9814:
-------------------------------------

This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> Error occurred when transforming from row to a new row without setCoder
> -----------------------------------------------------------------------
>
>                 Key: BEAM-9814
>                 URL: https://issues.apache.org/jira/browse/BEAM-9814
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-java-core
>    Affects Versions: 2.19.0
>            Reporter: Ruixue Liao
>            Priority: P2
>              Labels: stale-P2
>
> The output row from transform function uses the input row schema to verify which causes error. Ex:
> {code}
>         .apply(MapElements.via(
>                 new SimpleFunction<Row, Row>() \{
>                     @Override
>                     public Row apply(Row line) {
>                         return Row.withSchema(newSchema).addValues("a", 1, "b").build();
>                     }
>                 }));
> {code}
> Got error when the output row schema is not the same as the input row.
> Need to add {{.setCoder(RowCoder.of(newSchema))}} after the transform function to make it work.
> Related link: [https://stackoverflow.com/questions/61236972/beam-sql-udf-to-split-one-column-into-multiple-columns]



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