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postgres_fdw: Attempt to stabilize regression results. 

Set enable_hashagg to false for tests involving least_agg(), so that
we get the same plan regardless of local costing variances.  Also,
remove a test involving sqrt(); it's there to test deparsing of
HAVING clauses containing expressions, but that's tested elsewhere
anyway, and sqrt(2) deparses with different amounts of precision on
different machines.

Per buildfarm.
This commit is contained in:
Robert Haas 2016-10-21 11:27:32 -04:00
parent 7aa2c10ac6
commit ad13a09d76
2 changed files with 25 additions and 58 deletions
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74
contrib/postgres_fdw/expected/postgres_fdw.out
View File

@ -2491,35 +2491,6 @@ select c2, sum(c1) from ft2 group by c2 having avg(c1) < 500 and sum(c1) < 49800
2 | 49700
(2 rows)
-- Using expressions in HAVING clause
explain (verbose, costs off)
select c5, count(c2) from ft1 group by c5, sqrt(c2) having sqrt(max(c2)) = sqrt(2) order by 1, 2;
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------------------------------------------------
Sort
Output: c5, (count(c2)), (sqrt((c2)::double precision))
Sort Key: ft1.c5, (count(ft1.c2))
-> Foreign Scan
Output: c5, (count(c2)), (sqrt((c2)::double precision))
Relations: Aggregate on (public.ft1)
Remote SQL: SELECT c5, count(c2), sqrt(c2) FROM "S 1"."T 1" GROUP BY c5, (sqrt(c2)) HAVING ((sqrt(max(c2)) = 1.41421356237309515::double precision))
(7 rows)
select c5, count(c2) from ft1 group by c5, sqrt(c2) having sqrt(max(c2)) = sqrt(2) order by 1, 2;
c5 | count
--------------------------+-------
Sat Jan 03 00:00:00 1970 | 10
Tue Jan 13 00:00:00 1970 | 10
Fri Jan 23 00:00:00 1970 | 10
Mon Feb 02 00:00:00 1970 | 10
Thu Feb 12 00:00:00 1970 | 10
Sun Feb 22 00:00:00 1970 | 10
Wed Mar 04 00:00:00 1970 | 10
Sat Mar 14 00:00:00 1970 | 10
Tue Mar 24 00:00:00 1970 | 10
Fri Apr 03 00:00:00 1970 | 10
(10 rows)
-- Unshippable HAVING clause will be evaluated locally, and other qual in HAVING clause is pushed down
explain (verbose, costs off)
select count(*) from (select c5, count(c1) from ft1 group by c5, sqrt(c2) having (avg(c1) / avg(c1)) * random() <= 1 and avg(c1) < 500) x;
@ -2844,21 +2815,20 @@ returns anyelement language sql as
create aggregate least_agg(variadic items anyarray) (
stype = anyelement, sfunc = least_accum
);
-- Disable hash aggregation for plan stability.
set enable_hashagg to false;
-- Not pushed down due to user defined aggregate
explain (verbose, costs off)
select c2, least_agg(c1) from ft1 group by c2 order by c2;
QUERY PLAN
-------------------------------------------------------------
Sort
Output: c2, (least_agg(VARIADIC ARRAY[c1]))
Sort Key: ft1.c2
-> HashAggregate
Output: c2, least_agg(VARIADIC ARRAY[c1])
Group Key: ft1.c2
-> Foreign Scan on public.ft1
Output: c2, c1
Remote SQL: SELECT "C 1", c2 FROM "S 1"."T 1"
(9 rows)
QUERY PLAN
----------------------------------------------------------------------------------
GroupAggregate
Output: c2, least_agg(VARIADIC ARRAY[c1])
Group Key: ft1.c2
-> Foreign Scan on public.ft1
Output: c2, c1
Remote SQL: SELECT "C 1", c2 FROM "S 1"."T 1" ORDER BY c2 ASC NULLS LAST
(6 rows)
-- Add function and aggregate into extension
alter extension postgres_fdw add function least_accum(anyelement, variadic anyarray);
@ -2900,20 +2870,18 @@ alter server loopback options (set extensions 'postgres_fdw');
-- Not pushed down as we have dropped objects from extension.
explain (verbose, costs off)
select c2, least_agg(c1) from ft1 group by c2 order by c2;
QUERY PLAN
-------------------------------------------------------------
Sort
Output: c2, (least_agg(VARIADIC ARRAY[c1]))
Sort Key: ft1.c2
-> HashAggregate
Output: c2, least_agg(VARIADIC ARRAY[c1])
Group Key: ft1.c2
-> Foreign Scan on public.ft1
Output: c2, c1
Remote SQL: SELECT "C 1", c2 FROM "S 1"."T 1"
(9 rows)
QUERY PLAN
----------------------------------------------------------------------------------
GroupAggregate
Output: c2, least_agg(VARIADIC ARRAY[c1])
Group Key: ft1.c2
-> Foreign Scan on public.ft1
Output: c2, c1
Remote SQL: SELECT "C 1", c2 FROM "S 1"."T 1" ORDER BY c2 ASC NULLS LAST
(6 rows)
-- Cleanup
reset enable_hashagg;
drop aggregate least_agg(variadic items anyarray);
drop function least_accum(anyelement, variadic anyarray);
-- Testing USING OPERATOR() in ORDER BY within aggregate.

9
contrib/postgres_fdw/sql/postgres_fdw.sql
View File

@ -593,11 +593,6 @@ explain (verbose, costs off)
select c2, sum(c1) from ft2 group by c2 having avg(c1) < 500 and sum(c1) < 49800 order by c2;
select c2, sum(c1) from ft2 group by c2 having avg(c1) < 500 and sum(c1) < 49800 order by c2;
-- Using expressions in HAVING clause
explain (verbose, costs off)
select c5, count(c2) from ft1 group by c5, sqrt(c2) having sqrt(max(c2)) = sqrt(2) order by 1, 2;
select c5, count(c2) from ft1 group by c5, sqrt(c2) having sqrt(max(c2)) = sqrt(2) order by 1, 2;
-- Unshippable HAVING clause will be evaluated locally, and other qual in HAVING clause is pushed down
explain (verbose, costs off)
select count(*) from (select c5, count(c1) from ft1 group by c5, sqrt(c2) having (avg(c1) / avg(c1)) * random() <= 1 and avg(c1) < 500) x;
@ -677,6 +672,9 @@ create aggregate least_agg(variadic items anyarray) (
stype = anyelement, sfunc = least_accum
);
-- Disable hash aggregation for plan stability.
set enable_hashagg to false;
-- Not pushed down due to user defined aggregate
explain (verbose, costs off)
select c2, least_agg(c1) from ft1 group by c2 order by c2;
@ -701,6 +699,7 @@ explain (verbose, costs off)
select c2, least_agg(c1) from ft1 group by c2 order by c2;
-- Cleanup
reset enable_hashagg;
drop aggregate least_agg(variadic items anyarray);
drop function least_accum(anyelement, variadic anyarray);