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[SPARK-35080][SQL] Only allow a subset of correlated equality predica…
…tes when a subquery is aggregated This PR updated the `foundNonEqualCorrelatedPred` logic for correlated subqueries in `CheckAnalysis` to only allow correlated equality predicates that guarantee one-to-one mapping between inner and outer attributes, instead of all equality predicates. To fix correctness bugs. Before this fix Spark can give wrong results for certain correlated subqueries that pass CheckAnalysis: Example 1: ```sql create or replace view t1(c) as values ('a'), ('b') create or replace view t2(c) as values ('ab'), ('abc'), ('bc') select c, (select count(*) from t2 where t1.c = substring(t2.c, 1, 1)) from t1 ``` Correct results: [(a, 2), (b, 1)] Spark results: ``` +---+-----------------+ |c |scalarsubquery(c)| +---+-----------------+ |a |1 | |a |1 | |b |1 | +---+-----------------+ ``` Example 2: ```sql create or replace view t1(a, b) as values (0, 6), (1, 5), (2, 4), (3, 3); create or replace view t2(c) as values (6); select c, (select count(*) from t1 where a + b = c) from t2; ``` Correct results: [(6, 4)] Spark results: ``` +---+-----------------+ |c |scalarsubquery(c)| +---+-----------------+ |6 |1 | |6 |1 | |6 |1 | |6 |1 | +---+-----------------+ ``` Yes. Users will not be able to run queries that contain unsupported correlated equality predicates. Added unit tests. Closes #32179 from allisonwang-db/spark-35080-subquery-bug. Lead-authored-by: allisonwang-db <66282705+allisonwang-db@users.noreply.github.com> Co-authored-by: Wenchen Fan <cloud0fan@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit bad4b6f) Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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