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https://issues.apache.org/jira/browse/SPARK-34946?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reopened SPARK-34946:
---------------------------------

> Block unsupported correlated scalar subquery in Aggregate
> ---------------------------------------------------------
>
>                 Key: SPARK-34946
>                 URL: https://issues.apache.org/jira/browse/SPARK-34946
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.2.0
>            Reporter: Allison Wang
>            Priority: Major
>
> Currently, Spark supports Aggregate to host correlated scalar subqueries, but 
> in some cases, those subqueries cannot be rewritten properly in the 
> `RewriteCorrelatedScalarSubquery` rule. The error messages are also 
> confusing. Hence we should block these cases in CheckAnalysis.
>   
> Case 1: correlated scalar subquery in the grouping expressions but not in 
> aggregate expressions 
> {code:java}
> SELECT SUM(c2) FROM t t1 GROUP BY (SELECT SUM(c2) FROM t t2 WHERE t1.c1 = 
> t2.c1)
> {code}
> We get this error:
> {code:java}
> java.lang.AssertionError: assertion failed: Expects 1 field, but got 2; 
> something went wrong in analysis  
> {code}
> because the correlated scalar subquery is not rewritten properly: 
> {code:java}
> == Optimized Logical Plan ==
> Aggregate [scalar-subquery#5 [(c1#6 = c1#6#93)]], [sum(c2#7) AS sum(c2)#11L]
> :  +- Aggregate [c1#6], [sum(c2#7) AS sum(c2)#15L, c1#6 AS c1#6#93]
> :     +- LocalRelation [c1#6, c2#7]
> +- LocalRelation [c1#6, c2#7]
> {code}
>  
> Case 2: correlated scalar subquery in the aggregate expressions but not in 
> the grouping expressions 
> {code:java}
> SELECT (SELECT SUM(c2) FROM t t2 WHERE t1.c1 = t2.c1), SUM(c2) FROM t t1 
> GROUP BY c1
> {code}
> We get this error:
> {code:java}
> java.lang.IllegalStateException: Couldn't find sum(c2)#69L in 
> [c1#60,sum(c2#61)#64L]
> {code}
> because the transformed correlated scalar subquery output is not present in 
> the grouping expression of the Aggregate:
> {code:java}
> == Optimized Logical Plan ==
> Aggregate [c1#60], [sum(c2)#69L AS scalarsubquery(c1)#70L, sum(c2#61) AS 
> sum(c2)#65L]
> +- Project [c1#60, c2#61, sum(c2)#69L]
>    +- Join LeftOuter, (c1#60 = c1#60#95)
>       :- LocalRelation [c1#60, c2#61]
>       +- Aggregate [c1#60], [sum(c2#61) AS sum(c2)#69L, c1#60 AS c1#60#95]
>          +- LocalRelation [c1#60, c2#61]
> {code}
>  
>  



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