[
https://issues.apache.org/jira/browse/BEAM-9814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17191333#comment-17191333
]
Beam JIRA Bot commented on BEAM-9814:
-------------------------------------
This issue was marked "stale-P2" and has not received a public comment in 14
days. It is now automatically moved to P3. If you are still affected by it, you
can comment and move it back to P2.
> 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: P3
>
> 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]
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
