pratham76 opened a new pull request, #58656:
URL: https://github.com/apache/spark/pull/58656

   
   
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   ### What changes were proposed in this pull request?
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   `RewritePredicateSubquery` turns a predicate subquery in a `Filter` into a 
semi/anti join, using
   the correlated predicates that `PullupCorrelatedPredicates` hoisted out of 
the subquery as the
   join condition. Nested existential subqueries in that condition were all 
rewritten into existence
   joins on top of the **outer** plan. This PR rewrites each of them against 
the plan that actually
   produces the attributes it references:
   * references the subquery plan and not the outer plan -> the existence join 
is built on top of the
     subquery plan;
   * otherwise -> on top of the outer plan, as before;
   * references both plans -> left in the join condition, where both plans are 
in scope (it cannot be
     rewritten on either side).
   Concretely, `rewriteExistentialExprWithAttrs` gains a `canRewrite` predicate 
so a caller can
   rewrite a subset of the nested subqueries, and two helpers
   (`rewriteExistentialExprInJoinCondition` / 
`rewriteExistentialExprInSubqueryPlan`) route each
   nested subquery to the correct side. All four semi/anti join rewrites 
(`EXISTS`, `NOT EXISTS`,
   `IN`, `NOT IN`) use them.
   
   
   ### Why are the changes needed?
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   A correlated predicate that is a disjunction is hoisted out of the subquery 
as a whole, so it can
   carry a nested existential subquery with it. That nested subquery may 
reference the subquery plan,
   in which case building its existence join on top of the outer plan produces 
a join whose condition
   references an attribute that neither of its children can produce, i.e. a 
plan node that references
   non-reachable attributes:
   ```sql
   select *
   from (values (1), (2), (3)) as t1(a)
   where exists (
     select c1
     from (values (1), (8), (9)) as t2(c1)
     where a = c1
     or c1 in (select col1 from (values (3), (9)) as t3(col1))
   );
   ```
   ```
   [INTERNAL_ERROR] Couldn't find c1#25 in [a#24,col1#26] SQLSTATE: XX000
   ```
   The optimized plan shows the invalid node (`!Join`), where the existence 
join for
   `c1 IN (SELECT col1 FROM t3)` sits on top of the outer plan and its 
condition references `c1`,
   which is only produced by the subquery plan on the right of the semi join:
   ```
   Project [a#9]
   +- Join LeftSemi, ((a#9 = c1#10) OR exists#12)
      :- !Join ExistenceJoin(exists#12), (c1#10 = col1#11)
      :  :- LocalRelation [a#9]
      :  +- LocalRelation [col1#11]
      +- LocalRelation [c1#10]
   ```
   With this PR the existence join is built on top of the subquery plan, which 
produces `c1`:
   ```
   Project [a#9]
   +- Join LeftSemi, ((a#9 = c1#10) OR exists#12)
      :- LocalRelation [a#9]
      +- Join ExistenceJoin(exists#12), (c1#10 = col1#11)
         :- LocalRelation [c1#10]
         +- LocalRelation [col1#11]
   ```
   and the query returns `1, 2, 3`, which is what PostgreSQL and DuckDB return.
   The same failure affects `NOT EXISTS`, `IN` and `NOT IN` subqueries, and 
nested `IN`, `NOT IN` and
   `EXISTS` subqueries; a nested subquery correlated to the subquery it is 
nested in produced the
   same invalid plan but happened to avoid the error when the nested relation 
was empty at runtime,
   because the invalid condition was then never bound.
   
   
   ### Does this PR introduce _any_ user-facing change?
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   Yes. Queries of the shape above failed with `INTERNAL_ERROR` and now return
   the correct result. 
   
   ### How was this patch tested?
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   Existing UTs, additional tests have been added
   
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   Claude Code (Claude Sonnet 4.5)


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