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https://issues.apache.org/jira/browse/FLINK-27173?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17520475#comment-17520475
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Jun Qin commented on FLINK-27173:
---------------------------------
As Flink uses {{CoGroupedStreams$UnionSerializer}} as a custom serializer for
{{CoGroupedStreams$TaggedUnion}}, there is actually no performance issue here,
so this JIRA is only to remove the confusing log message.
> CoGroupedStreams$TaggedUnion cannot be used as a POJO type
> ----------------------------------------------------------
>
> Key: FLINK-27173
> URL: https://issues.apache.org/jira/browse/FLINK-27173
> Project: Flink
> Issue Type: Bug
> Components: API / Type Serialization System
> Affects Versions: 1.14.4
> Reporter: Jun Qin
> Priority: Major
> Attachments: StreamingJob.java
>
>
> Attached is the code to demo the issue. When running the job, we can see the
> following:
> {code:java}
> 11:48:26,584 INFO org.apache.flink.api.java.typeutils.TypeExtractor
> [] - class
> org.apache.flink.streaming.api.datastream.CoGroupedStreams$TaggedUnion does
> not contain a setter for field one
> 11:48:26,586 INFO org.apache.flink.api.java.typeutils.TypeExtractor
> [] - Class class
> org.apache.flink.streaming.api.datastream.CoGroupedStreams$TaggedUnion cannot
> be used as a POJO type because not all fields are valid POJO fields, and must
> be processed as GenericType. Please read the Flink documentation on "Data
> Types & Serialization" for details of the effect on performance. {code}
> TaggedUnion is a class in Flink. This should be fixed in Flink.
> [^StreamingJob.java]
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