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Keep no-match rows when pulling up a correlated aggregate subquery - #547

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Keep no-match rows when pulling up a correlated aggregate subquery#547
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@Alena0704 Alena0704 commented Jul 29, 2026

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Keep no-match rows when pulling up a correlated aggregate subquery

With the Postgres planner (optimizer=off or an ORCA fallback), a correlated scalar subquery with an aggregate is pulled up into an INNER join with a grouped subquery (convert_EXPR_to_join), which drops outer rows that have no match. The original subquery keeps them: it computes the aggregate over empty input, so e.g. COUNT yields 0 there:

select ... from t1
	where t1.a > (select count(*) from t2 where t2.a = t1.d);

A row with no match in t2 must be compared as "t1.a > 0" and can pass, but the INNER join dropped it.

To fix this, pull the subquery up into a LEFT join, so no-match rows survive as null-extended rows, and rewrite the comparison to return the same value the subquery would:

outer OP CASE WHEN match_flag THEN expr ELSE empty_input_default END

match_flag is a constant TRUE column added to the subquery. For a matched row the CASE returns the real expression; for a null-extended row the flag is NULL and the CASE returns the empty-input default (0 for COUNT, NULL for other aggregates).

The comparison runs above the LEFT join as a filter, not as the join condition: as a join qual it would null-extend matched rows that fail it, and the default would let them back in.

The LEFT join is not always needed. If a no-match row cannot pass the comparison anyway -- e.g. "1 = (select count(*) ...)" turns into "1 = 0" for it -- dropping it is fine and the INNER join is kept as before. This is detected by substituting the empty-input default into the comparison and constant-folding it. Ordinary sum/avg/min/max comparisons fall into this group: their empty-input value is NULL, and a comparison with NULL does not pass, so those plans do not change.

If the comparison cannot be placed above the join (the sublink is in an outer join's ON clause) or the subquery's targetlist is correlated, the pull-up bails out and the sublink runs as a SubPlan, as before.

Adapted from open-gpdb/gpdb#397
Co-Authored-By: excaliiibur excaliiibur@foxmail.com

With the Postgres planner (optimizer=off or an ORCA fallback), a
correlated scalar subquery with an aggregate is pulled up into an INNER
join with a grouped subquery (convert_EXPR_to_join), which drops outer
rows that have no match. The original subquery keeps them: it computes
the aggregate over empty input, so e.g. COUNT yields 0 there:

	select ... from t1
		where t1.a > (select count(*) from t2 where t2.a = t1.d);

A row with no match in t2 must be compared as "t1.a > 0" and can pass,
but the INNER join dropped it.

To fix this, pull the subquery up into a LEFT join, so no-match rows
survive as null-extended rows, and rewrite the comparison to return the
same value the subquery would:

    outer OP CASE WHEN match_flag THEN expr ELSE empty_input_default END

match_flag is a constant TRUE column added to the subquery. For a matched
row the CASE returns the real expression; for a null-extended row the flag
is NULL and the CASE returns the empty-input default (0 for COUNT, NULL for
other aggregates).

The comparison runs above the LEFT join as a filter, not as the join
condition: as a join qual it would null-extend matched rows that fail it,
and the default would let them back in.

The LEFT join is not always needed. If a no-match row cannot pass the
comparison anyway -- e.g. "1 = (select count(*) ...)" turns into "1 = 0"
for it -- dropping it is fine and the INNER join is kept as before. This is
detected by substituting the empty-input default into the comparison and
constant-folding it. Ordinary sum/avg/min/max comparisons fall into this
group: their empty-input value is NULL, and a comparison with NULL does not
pass, so those plans do not change.

If the comparison cannot be placed above the join (the sublink is in an
outer join's ON clause) or the subquery's targetlist is correlated, the
pull-up bails out and the sublink runs as a SubPlan, as before.

Adapted from open-gpdb/gpdb#397

Co-Authored-By: excaliiibur <excaliiibur@foxmail.com>
@Alena0704

Alena0704 commented Jul 29, 2026

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An issue without this commit is:

postgres=# drop table t_out;
DROP TABLE
postgres=# drop table t_in;
DROP TABLE
postgres=# create table t_out as select 1 as a distributed by (a);                                          
SELECT 1
postgres=# create table t_in  as select 2 as a distributed by (a);                                          
SELECT 1
postgres=# set optimizer=0;                                                                                 
SET
postgres=# select * from t_outwhere a > (select count(*) from t_in where t_in.a = t_out.a);
 a 
---
(0 rows)

postgres=# set optimizer=1;
SET
postgres=# select * from t_outwhere a > (select count(*) from t_in where t_in.a = t_out.a);
 a 
---
 1
(1 row)

As you see the Postgres planner returns incorrect result.

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