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https://issues.apache.org/jira/browse/FLINK-25471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17469904#comment-17469904
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Timo Walther commented on FLINK-25471:
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[~paul8263] I can assign this to you. But I'm still not sure if this is a bug
or intended. How would you fix it? In Flink 1.13 the
\{{env.setRuntimeMode(RuntimeExecutionMode.BATCH)}} had no effect on
\{{StreamTableEnvironment}}. So \{{StreamTableEnvironment}} was still in
streaming mode. Now it considers the option and uses a different set of rules
internally.
> wrong result if table transfrom to DataStream then keyby sum in Batch Mode
> ---------------------------------------------------------------------------
>
> Key: FLINK-25471
> URL: https://issues.apache.org/jira/browse/FLINK-25471
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / API, Table SQL / Runtime
> Affects Versions: 1.14.2
> Environment: mac book pro m1
> jdk 8
> scala 2.11
> flink 1.14.2
> idea 2020
> Reporter: zhangzh
> Priority: Critical
> Attachments: TableToDataStreamBatchWordCount-1.scala, pom.xml
>
>
> I have a dataStream with 6 lines datas like this:
> Row.of("Alice"),
> Row.of("alice"),
> Row.of("Bob"),
> Row.of("lily"),
> Row.of("lily"),
> Row.of("lily")
> then make it to table with one column "word"
> then sql transform : select upper(word) from tmp_table
> then change to dataStream
> then keyby sum.
>
> in batch mode:
> I think correct result is:
> > (BOB,1)
> > (ALICE,2)
> > (LILY,3)
>
> but the result is :
> > (BOB,1)
> if i set different parallelism ,the result is different.
>
> the source file and pom is in attach.
> is a bug?
> pelease help me!!!
>
>
>
>
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>
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