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https://issues.apache.org/jira/browse/FLINK-25471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17469003#comment-17469003
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Yao Zhang commented on FLINK-25471:
-----------------------------------
Hi [~zhangzihan] ,
For Flink 1.13.3 even though we use batch mode, actually the operator is still
`StreamGroupedReduceOperator`. It is a bug and batch operator is not used at
all. Thus for Flink 1.13.3, both batch mode and streaming mode behaves the same.
> 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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