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https://issues.apache.org/jira/browse/FLINK-23978?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17705914#comment-17705914
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Alexey Novakov commented on FLINK-23978:
----------------------------------------

Thanks, [~chesnay] .

It is indeed works via reduce function
{code:java}
.reduce {(a, b) => (a._1 , a._2 + b._2)} {code}
Yeah, I have been thinking to make such proposal to copy FieldAccessFactrory 
class to flink-adt or to findify/flink-scala-api.

> 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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