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https://issues.apache.org/jira/browse/SPARK-31663?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17102844#comment-17102844
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Dongjoon Hyun commented on SPARK-31663:
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Apache Spark 2.3.4 follows Hive syntaxes, but the result is also wrong while
Hive is correct.
{code:java}
spark-sql> select sum(a) as b from t group by b grouping sets(b) having b > 10;
Time taken: 0.194 seconds
hive> select sum(a) as b from t group by b grouping sets(b) having b > 10;
2
Time taken: 1.605 seconds, Fetched: 1 row(s){code}
> Grouping sets with having clause returns the wrong result
> ---------------------------------------------------------
>
> Key: SPARK-31663
> URL: https://issues.apache.org/jira/browse/SPARK-31663
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.4.5, 3.0.0
> Reporter: Yuanjian Li
> Priority: Major
> Labels: correctness
>
> Grouping sets with having clause returns the wrong result when the condition
> of having contained conflicting naming. See the below example:
> {code:java}
> select sum(a) as b FROM VALUESÂ (1, 10), (2, 20) AS T(a, b) group by GROUPING
> SETS ((b), (a, b)) having b > 10{code}
> The `b` in `having b > 10` should be resolved as `T.b` not `sum(a)`, so the
> right result should be
> {code:java}
> +---+
> | b|
> +---+
> | 2|
> | 2|
> +---+{code}
> instead of an empty result.
> The root cause is similar to SPARK-31519, it's caused by we parsed HAVING as
> Filter(..., Agg(...)) and resolved these two parts in different rules. The
> CUBE and ROLLUP have the same issue.
> Other systems worked as expected, I checked PostgreSQL 9.6 and MS SQL Server
> 2017.
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