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https://issues.apache.org/jira/browse/SPARK-18582?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15702684#comment-15702684
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Nattavut Sutyanyong commented on SPARK-18582:
---------------------------------------------

We shall classify the operators into 4 categories:

# Operators that are allowed anywhere in a correlated subquery
   and, by definition of the operators, they cannot host outer references.
# Operators that are allowed anywhere in a correlated subquery
   so long as they do not host outer references.
# Operators that need special treatment. These operators are
   Project, Filter, Join, Aggregate, and, Generate.

Any operators that are not in the above list are allowed in a correlated 
subquery only if they are not on a correlation path. In other word, these 
operators are allowed only under a correlation point.

Note that a correlation path is defined as the sub-tree of all the operators 
that are on the path from the operator hosting the correlated expressions up to 
the operator producing the correlated values.


> Whitelist LogicalPlan operators allowed in correlated subqueries
> ----------------------------------------------------------------
>
>                 Key: SPARK-18582
>                 URL: https://issues.apache.org/jira/browse/SPARK-18582
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Nattavut Sutyanyong
>
> We want to tighten the code that handles correlated subquery to whitelist 
> operators that are allowed in it.
> The current code in {{def pullOutCorrelatedPredicates}} looks like
> {code}
>       // Simplify the predicates before pulling them out.
>       val transformed = BooleanSimplification(sub) transformUp {
>         case f @ Filter(cond, child) => ...
>         case p @ Project(expressions, child) => ...
>         case a @ Aggregate(grouping, expressions, child) => ...
>         case w : Window => ...
>         case j @ Join(left, _, RightOuter, _) => ...
>         case j @ Join(left, right, FullOuter, _) => ...
>         case j @ Join(_, right, jt, _) if !jt.isInstanceOf[InnerLike] => ...
>         case u: Union => ...
>         case s: SetOperation => ...
>         case e: Expand => ...
>         case l : LocalLimit => ...
>         case g : GlobalLimit => ...
>         case s : Sample => ...
>         case p =>
>           failOnOuterReference(p)
>           ...
>       }
> {code}
> The code disallows operators in a sub plan of an operator hosting correlation 
> on a case by case basis. As it is today, it only blocks {{Union}}, 
> {{Intersect}}, {{Except}}, {{Expand}} {{LocalLimit}} {{GlobalLimit}} 
> {{Sample}} {{FullOuter}} and right table of {{LeftOuter}} (and left table of 
> {{RightOuter}}). That means any {{LogicalPlan}} operators that are not in the 
> list above are permitted to be under a correlation point. Is this risky? 
> There are many (30+ at least from browsing the {{LogicalPlan}} type 
> hierarchy) operators derived from {{LogicalPlan}} class.
> For the case of {{ScalarSubquery}}, it explicitly checks that only 
> {{SubqueryAlias}} {{Project}} {{Filter}} {{Aggregate}} are allowed 
> ({{CheckAnalysis.scala}} around line 126-165 in and after {{def 
> cleanQuery}}). We should whitelist which operators are allowed in correlated 
> subqueries. At my first glance, we should allow, in addition to the ones 
> allowed in {{ScalarSubquery}}: {{Join}}, {{Distinct}}, {{Sort}}.



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