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https://issues.apache.org/jira/browse/SPARK-25708?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-25708:
----------------------------------
    Affects Version/s: 2.0.2
                       2.1.3
                       2.2.3
                       2.3.4

> HAVING without GROUP BY means global aggregate
> ----------------------------------------------
>
>                 Key: SPARK-25708
>                 URL: https://issues.apache.org/jira/browse/SPARK-25708
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.2, 2.1.3, 2.2.3, 2.3.4, 2.4.0
>            Reporter: Wenchen Fan
>            Assignee: Wenchen Fan
>            Priority: Major
>              Labels: correctness, release-notes
>             Fix For: 2.4.0
>
>
> According to the SQL standard, when a query contains `HAVING`, it indicates 
> an aggregate operator. For more details please refer to 
> https://blog.jooq.org/2014/12/04/do-you-really-understand-sqls-group-by-and-having-clauses/
> However, in Spark SQL parser, we treat HAVING as a normal filter when there 
> is no GROUP BY, which breaks SQL semantic and lead to wrong result. This PR 
> fixes the parser.



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