pratham76 commented on code in PR #58656:
URL: https://github.com/apache/spark/pull/58656#discussion_r4040695643
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala:
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@@ -454,6 +470,70 @@ object RewritePredicateSubquery extends Rule[LogicalPlan]
with PredicateHelper {
}
(newExprs.reduceOption(And), newPlan, introducedAttrs.toSeq)
}
+
+ /**
+ * Returns true if `e` references any of the attributes produced by `plan`.
+ */
+ private def referencesPlan(e: Expression, plan: LogicalPlan): Boolean = {
+ e.references.intersect(plan.outputSet).nonEmpty
+ }
+
+ /**
+ * Rewrites the existential sub-queries that are nested in the correlated
predicates which
+ * [[PullupCorrelatedPredicates]] hoisted out of a predicate sub-query, and
which therefore end
+ * up in the condition of the semi/anti join that replaces that sub-query.
+ *
+ * A hoisted predicate can carry a nested existential sub-query out of the
sub-query plan,
+ * because a correlated predicate is hoisted as a whole when it is a
disjunction. For example
+ *
+ * SELECT * FROM t1 WHERE EXISTS (
+ * SELECT 1 FROM t2 WHERE t1.a = t2.c1 OR t2.c1 IN (SELECT col1 FROM t3))
+ *
+ * hoists `a = c1 OR c1 IN (SELECT col1 FROM t3)` into the join condition.
Such a nested
+ * sub-query must be rewritten against the plan that produces the attributes
it references:
+ * the one above references `c1`, which is produced by the sub-query plan
and not by the outer
+ * plan, so its existence join has to be built on top of the sub-query plan.
Building it on top
+ * of the outer plan instead yields a join whose condition references an
attribute that neither
+ * of its children can produce (SPARK-59351).
+ *
+ * A nested sub-query that references both plans cannot be rewritten into an
existence join on
+ * either side, so it is left in the join condition, where both plans are in
scope. Such a
+ * sub-query is necessarily uncorrelated, as being correlated to the outer
plan as well would
+ * require two levels of correlation, which the Analyzer rejects. It is then
either planned as
+ * an in-subquery filter or reported as unsupported by the rewrite of
predicate sub-queries in
+ * join conditions.
Review Comment:
You are right, and this is worse than a doc error. I reproduced it exactly
as you described.
With
`spark.sql.optimizer.decorrelatePredicateSubqueriesInJoinPredicate.enabled=false`,
on
`t1(a)=(1,2,3)`, `t2(c1)=(1,8,9)`, `t3(col1)=(3,9)`:
```sql
SELECT * FROM t1 WHERE EXISTS (
SELECT 1 FROM t2 WHERE a = c1 OR a IN (SELECT col1 FROM t3 WHERE col1 =
c1));
```
| | result |
|---|---|
| PostgreSQL / DuckDB | `1` |
| master | `INTERNAL_ERROR` (attribute not found) |
| this PR, before the fixup | **`1, 3`** — silently wrong |
The plan shows why: the leftover keeps its correlation in the list query,
```
+- Join LeftSemi, ((col1#29 = c1#35) OR col1#29 IN (list#32 [c1#35 &&
(col1#36 = c1#35)]))
```
and `PlanSubqueries` then plans it as an uncorrelated `InSubqueryExec`,
dropping `col1 = c1`. As you
noted, `InSubquery` has no `references` override, so `values :+ query` puts
the outer reference in
`references` while the list query stays correlated to the inner query —
exactly the shape my
"necessarily uncorrelated" sentence claimed could not exist. Turning an
error into a wrong answer is
not an acceptable trade, so I took your suggestion and settled it in this PR
rather than leaving it
to the doc:
* a leftover that is **correlated** now raises `0A000`
(`UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY.UNSUPPORTED_CORRELATED_EXPRESSION_IN_JOIN_CONDITION`),
because its join condition cannot survive being planned in the join
condition;
* a leftover that is **uncorrelated** has no join condition to lose and is
still left in place.
The check lives in `rewriteExistentialExprInSubqueryPlan`, so it covers the
`NOT IN` branch too, not
only the branches that go through `rewriteExistentialExprInJoinCondition`.
The rejection is
deliberately independent of `decorrelatePredicateSubqueriesInJoinPredicate`:
previously the shape
happened to be caught by the join-condition rewrite under the default confs
and produced a wrong
answer with that conf off, which is why the bug was invisible by default.
The new test asserts
`0A000` under **both** settings of that conf.
Correlation can only be to the sub-query plan here, since correlating to the
outer plan as well
would need two levels of correlation and the Analyzer rejects that — the doc
now says only that,
and no longer claims the leftover is uncorrelated.
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