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postgres_fdw: Try again to stabilize aggregate pushdown regression tests.
A query that only aggregates one row isn't a great argument for pushdown, and buildfarm member brolga decides against it. Adjust the query a bit in the hopes of getting remote aggregation to win consistently. Jeevan Chalke, per suggestion from Tom Lane
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@ -3123,40 +3123,32 @@ select c2, sum from "S 1"."T 1" t1, lateral (select sum(t2.c1 + t1."C 1") sum fr
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reset enable_hashagg;
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-- Check with placeHolderVars
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explain (verbose, costs off)
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select q.b, count(ft4.c1), sum(q.a) from ft4 left join (select min(13), avg(ft1.c1), sum(ft2.c1) from ft1 right join ft2 on (ft1.c1 = ft2.c1) where ft1.c1 = 12) q(a, b, c) on (ft4.c1 = q.b) where ft4.c1 between 10 and 15 group by q.b order by 1 nulls last, 2;
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QUERY PLAN
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--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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Sort
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Output: q.b, (count(ft4.c1)), (sum(q.a))
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Sort Key: q.b, (count(ft4.c1))
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-> GroupAggregate
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Output: q.b, count(ft4.c1), sum(q.a)
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Group Key: q.b
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-> Sort
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Output: q.b, ft4.c1, q.a
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Sort Key: q.b
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-> Hash Left Join
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Output: q.b, ft4.c1, q.a
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Hash Cond: ((ft4.c1)::numeric = q.b)
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-> Foreign Scan on public.ft4
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Output: ft4.c1, ft4.c2, ft4.c3
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Remote SQL: SELECT c1 FROM "S 1"."T 3" WHERE ((c1 >= 10)) AND ((c1 <= 15))
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-> Hash
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Output: q.b, q.a
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-> Subquery Scan on q
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Output: q.b, q.a
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-> Foreign Scan
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Output: (min(13)), (avg(ft1.c1)), (NULL::bigint)
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Relations: Aggregate on ((public.ft1) INNER JOIN (public.ft2))
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Remote SQL: SELECT min(13), avg(r1."C 1"), NULL::bigint FROM ("S 1"."T 1" r1 INNER JOIN "S 1"."T 1" r2 ON (((r2."C 1" = 12)) AND ((r1."C 1" = 12))))
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(23 rows)
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select sum(q.a), count(q.b) from ft4 left join (select 13, avg(ft1.c1), sum(ft2.c1) from ft1 right join ft2 on (ft1.c1 = ft2.c1)) q(a, b, c) on (ft4.c1 <= q.b);
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QUERY PLAN
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----------------------------------------------------------------------------------------------------------------------------------------------------------
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Aggregate
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Output: sum(q.a), count(q.b)
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-> Nested Loop Left Join
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Output: q.a, q.b
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Join Filter: ((ft4.c1)::numeric <= q.b)
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-> Foreign Scan on public.ft4
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Output: ft4.c1, ft4.c2, ft4.c3
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Remote SQL: SELECT c1 FROM "S 1"."T 3"
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-> Materialize
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Output: q.a, q.b
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-> Subquery Scan on q
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Output: q.a, q.b
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-> Foreign Scan
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Output: (13), (avg(ft1.c1)), (NULL::bigint)
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Relations: Aggregate on ((public.ft2) LEFT JOIN (public.ft1))
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Remote SQL: SELECT 13, avg(r1."C 1"), NULL::bigint FROM ("S 1"."T 1" r2 LEFT JOIN "S 1"."T 1" r1 ON (((r1."C 1" = r2."C 1"))))
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(16 rows)
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select q.b, count(ft4.c1), sum(q.a) from ft4 left join (select min(13), avg(ft1.c1), sum(ft2.c1) from ft1 right join ft2 on (ft1.c1 = ft2.c1) where ft1.c1 = 12) q(a, b, c) on (ft4.c1 = q.b) where ft4.c1 between 10 and 15 group by q.b order by 1 nulls last, 2;
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b | count | sum
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---------------------+-------+-----
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12.0000000000000000 | 1 | 13
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| 2 |
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(2 rows)
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select sum(q.a), count(q.b) from ft4 left join (select 13, avg(ft1.c1), sum(ft2.c1) from ft1 right join ft2 on (ft1.c1 = ft2.c1)) q(a, b, c) on (ft4.c1 <= q.b);
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sum | count
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-----+-------
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650 | 50
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(1 row)
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-- Not supported cases
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-- Grouping sets
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