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https://issues.apache.org/jira/browse/FLINK-23978?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17705241#comment-17705241
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Chesnay Schepler commented on FLINK-23978:
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Yes, that's the exception I had expected.
When you reference a field by index ({{.sum(1)}}) Flink needs some way to
actually access this field.
This is what the FieldAccessor does, but it only works for a few special cases.
It's unfortunately not tied to the TypeInfo class.
So, you should be able to workaround this issue in either case by using a
ReduceFunction to do the summing.
Additionally you may want to file a ticket with flink-adt to have them also
copy the FieldAccessFactrory for scala types.
> FieldAccessor has direct scala dependency
> -----------------------------------------
>
> Key: FLINK-23978
> URL: https://issues.apache.org/jira/browse/FLINK-23978
> Project: Flink
> Issue Type: Sub-task
> Components: API / DataStream
> Reporter: Chesnay Schepler
> Assignee: Chesnay Schepler
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.15.0
>
>
> The FieldAccessor class in flink-streaming-java has a hard dependency on
> scala. It would be ideal if we could restrict this dependencies to
> flink-streaming-scala.
> We could move the SimpleProductFieldAccessor & RecursiveProductFieldAccessor
> to flink-streaming-scala, and load them in the FieldAccessorFactory via
> reflection.
> This is one of a few steps that would allow the Java Datastream API to be
> used without scala being on the classpath.
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