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https://issues.apache.org/jira/browse/SPARK-18577?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yerui Sun closed SPARK-18577.
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> Ambiguous reference with duplicate column names in aggregate
> ------------------------------------------------------------
>
> Key: SPARK-18577
> URL: https://issues.apache.org/jira/browse/SPARK-18577
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.2
> Reporter: Yerui Sun
>
> Assuming we have a table 't' with 3 columns 'id', 'name' and 'rank', and
> here's the sql to re-produce issue:
> {code}
> select id, count(*) from t t1 join t t2 on t1.name = t2.name group by t1.id
> {code}
> The error message is:
> {code}
> Reference 'id' is ambiguous, could be: id#3, id#9.; line 1 pos 7
> {code}
> The sql can be parsed in Hive, since the select 'id' reference can be
> resolved to 't1.id', which presented in group expressions.
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