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https://issues.apache.org/jira/browse/SPARK-25708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17258788#comment-17258788
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Apache Spark commented on SPARK-25708:
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User 'AngersZhuuuu' has created a pull request for this issue:
https://github.com/apache/spark/pull/31039
> 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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