postgresql/src/test/regress/sql/select_parallel.sql
Tom Lane 6ee41a301e Fix mis-planning of repeated application of a projection.
create_projection_plan contains a hidden assumption (here made
explicit by an Assert) that a projection-capable Path will yield a
projection-capable Plan.  Unfortunately, that assumption is violated
only a few lines away, by create_projection_plan itself.  This means
that two stacked ProjectionPaths can yield an outcome where we try to
jam the upper path's tlist into a non-projection-capable child node,
resulting in an invalid plan.

There isn't any good reason to have stacked ProjectionPaths; indeed the
whole concept is faulty, since the set of Vars/Aggs/etc needed by the
upper one wouldn't necessarily be available in the output of the lower
one, nor could the lower one create such values if they weren't
available from its input.  Hence, we can fix this by adjusting
create_projection_path to strip any top-level ProjectionPath from the
subpath it's given.  (This amounts to saying "oh, we changed our
minds about what we need to project here".)

The test case added here only fails in v13 and HEAD; before that, we
don't attempt to shove the Sort into the parallel part of the plan,
for reasons that aren't entirely clear to me.  However, all the
directly-related code looks generally the same as far back as v11,
where the hazard was introduced (by d7c19e62a).  So I've got no faith
that the same type of bug doesn't exist in v11 and v12, given the
right test case.  Hence, back-patch the code changes, but not the
irrelevant test case, into those branches.

Per report from Bas Poot.

Discussion: https://postgr.es/m/534fca83789c4a378c7de379e9067d4f@politie.nl
2021-05-31 12:03:00 -04:00

459 lines
14 KiB
PL/PgSQL

--
-- PARALLEL
--
create function sp_parallel_restricted(int) returns int as
$$begin return $1; end$$ language plpgsql parallel restricted;
begin;
-- encourage use of parallel plans
set parallel_setup_cost=0;
set parallel_tuple_cost=0;
set min_parallel_table_scan_size=0;
set max_parallel_workers_per_gather=4;
-- Parallel Append with partial-subplans
explain (costs off)
select round(avg(aa)), sum(aa) from a_star;
select round(avg(aa)), sum(aa) from a_star a1;
-- Parallel Append with both partial and non-partial subplans
alter table c_star set (parallel_workers = 0);
alter table d_star set (parallel_workers = 0);
explain (costs off)
select round(avg(aa)), sum(aa) from a_star;
select round(avg(aa)), sum(aa) from a_star a2;
-- Parallel Append with only non-partial subplans
alter table a_star set (parallel_workers = 0);
alter table b_star set (parallel_workers = 0);
alter table e_star set (parallel_workers = 0);
alter table f_star set (parallel_workers = 0);
explain (costs off)
select round(avg(aa)), sum(aa) from a_star;
select round(avg(aa)), sum(aa) from a_star a3;
-- Disable Parallel Append
alter table a_star reset (parallel_workers);
alter table b_star reset (parallel_workers);
alter table c_star reset (parallel_workers);
alter table d_star reset (parallel_workers);
alter table e_star reset (parallel_workers);
alter table f_star reset (parallel_workers);
set enable_parallel_append to off;
explain (costs off)
select round(avg(aa)), sum(aa) from a_star;
select round(avg(aa)), sum(aa) from a_star a4;
reset enable_parallel_append;
-- Parallel Append that runs serially
create function sp_test_func() returns setof text as
$$ select 'foo'::varchar union all select 'bar'::varchar $$
language sql stable;
select sp_test_func() order by 1;
-- Parallel Append is not to be used when the subpath depends on the outer param
create table part_pa_test(a int, b int) partition by range(a);
create table part_pa_test_p1 partition of part_pa_test for values from (minvalue) to (0);
create table part_pa_test_p2 partition of part_pa_test for values from (0) to (maxvalue);
explain (costs off)
select (select max((select pa1.b from part_pa_test pa1 where pa1.a = pa2.a)))
from part_pa_test pa2;
drop table part_pa_test;
-- test with leader participation disabled
set parallel_leader_participation = off;
explain (costs off)
select count(*) from tenk1 where stringu1 = 'GRAAAA';
select count(*) from tenk1 where stringu1 = 'GRAAAA';
-- test with leader participation disabled, but no workers available (so
-- the leader will have to run the plan despite the setting)
set max_parallel_workers = 0;
explain (costs off)
select count(*) from tenk1 where stringu1 = 'GRAAAA';
select count(*) from tenk1 where stringu1 = 'GRAAAA';
reset max_parallel_workers;
reset parallel_leader_participation;
-- test that parallel_restricted function doesn't run in worker
alter table tenk1 set (parallel_workers = 4);
explain (verbose, costs off)
select sp_parallel_restricted(unique1) from tenk1
where stringu1 = 'GRAAAA' order by 1;
-- test parallel plan when group by expression is in target list.
explain (costs off)
select length(stringu1) from tenk1 group by length(stringu1);
select length(stringu1) from tenk1 group by length(stringu1);
explain (costs off)
select stringu1, count(*) from tenk1 group by stringu1 order by stringu1;
-- test that parallel plan for aggregates is not selected when
-- target list contains parallel restricted clause.
explain (costs off)
select sum(sp_parallel_restricted(unique1)) from tenk1
group by(sp_parallel_restricted(unique1));
-- test prepared statement
prepare tenk1_count(integer) As select count((unique1)) from tenk1 where hundred > $1;
explain (costs off) execute tenk1_count(1);
execute tenk1_count(1);
deallocate tenk1_count;
-- test parallel plans for queries containing un-correlated subplans.
alter table tenk2 set (parallel_workers = 0);
explain (costs off)
select count(*) from tenk1 where (two, four) not in
(select hundred, thousand from tenk2 where thousand > 100);
select count(*) from tenk1 where (two, four) not in
(select hundred, thousand from tenk2 where thousand > 100);
-- this is not parallel-safe due to use of random() within SubLink's testexpr:
explain (costs off)
select * from tenk1 where (unique1 + random())::integer not in
(select ten from tenk2);
alter table tenk2 reset (parallel_workers);
-- test parallel plan for a query containing initplan.
set enable_indexscan = off;
set enable_indexonlyscan = off;
set enable_bitmapscan = off;
alter table tenk2 set (parallel_workers = 2);
explain (costs off)
select count(*) from tenk1
where tenk1.unique1 = (Select max(tenk2.unique1) from tenk2);
select count(*) from tenk1
where tenk1.unique1 = (Select max(tenk2.unique1) from tenk2);
reset enable_indexscan;
reset enable_indexonlyscan;
reset enable_bitmapscan;
alter table tenk2 reset (parallel_workers);
-- test parallel index scans.
set enable_seqscan to off;
set enable_bitmapscan to off;
explain (costs off)
select count((unique1)) from tenk1 where hundred > 1;
select count((unique1)) from tenk1 where hundred > 1;
-- test parallel index-only scans.
explain (costs off)
select count(*) from tenk1 where thousand > 95;
select count(*) from tenk1 where thousand > 95;
-- test rescan cases too
set enable_material = false;
explain (costs off)
select * from
(select count(unique1) from tenk1 where hundred > 10) ss
right join (values (1),(2),(3)) v(x) on true;
select * from
(select count(unique1) from tenk1 where hundred > 10) ss
right join (values (1),(2),(3)) v(x) on true;
explain (costs off)
select * from
(select count(*) from tenk1 where thousand > 99) ss
right join (values (1),(2),(3)) v(x) on true;
select * from
(select count(*) from tenk1 where thousand > 99) ss
right join (values (1),(2),(3)) v(x) on true;
-- test rescans for a Limit node with a parallel node beneath it.
reset enable_seqscan;
set enable_indexonlyscan to off;
set enable_indexscan to off;
alter table tenk1 set (parallel_workers = 0);
alter table tenk2 set (parallel_workers = 1);
explain (costs off)
select count(*) from tenk1
left join (select tenk2.unique1 from tenk2 order by 1 limit 1000) ss
on tenk1.unique1 < ss.unique1 + 1
where tenk1.unique1 < 2;
select count(*) from tenk1
left join (select tenk2.unique1 from tenk2 order by 1 limit 1000) ss
on tenk1.unique1 < ss.unique1 + 1
where tenk1.unique1 < 2;
--reset the value of workers for each table as it was before this test.
alter table tenk1 set (parallel_workers = 4);
alter table tenk2 reset (parallel_workers);
reset enable_material;
reset enable_bitmapscan;
reset enable_indexonlyscan;
reset enable_indexscan;
-- test parallel bitmap heap scan.
set enable_seqscan to off;
set enable_indexscan to off;
set enable_hashjoin to off;
set enable_mergejoin to off;
set enable_material to off;
-- test prefetching, if the platform allows it
DO $$
BEGIN
SET effective_io_concurrency = 50;
EXCEPTION WHEN invalid_parameter_value THEN
END $$;
set work_mem='64kB'; --set small work mem to force lossy pages
explain (costs off)
select count(*) from tenk1, tenk2 where tenk1.hundred > 1 and tenk2.thousand=0;
select count(*) from tenk1, tenk2 where tenk1.hundred > 1 and tenk2.thousand=0;
create table bmscantest (a int, t text);
insert into bmscantest select r, 'fooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo' FROM generate_series(1,100000) r;
create index i_bmtest ON bmscantest(a);
select count(*) from bmscantest where a>1;
-- test accumulation of stats for parallel nodes
reset enable_seqscan;
alter table tenk2 set (parallel_workers = 0);
explain (analyze, timing off, summary off, costs off)
select count(*) from tenk1, tenk2 where tenk1.hundred > 1
and tenk2.thousand=0;
alter table tenk2 reset (parallel_workers);
reset work_mem;
create function explain_parallel_sort_stats() returns setof text
language plpgsql as
$$
declare ln text;
begin
for ln in
explain (analyze, timing off, summary off, costs off)
select * from
(select ten from tenk1 where ten < 100 order by ten) ss
right join (values (1),(2),(3)) v(x) on true
loop
ln := regexp_replace(ln, 'Memory: \S*', 'Memory: xxx');
return next ln;
end loop;
end;
$$;
select * from explain_parallel_sort_stats();
reset enable_indexscan;
reset enable_hashjoin;
reset enable_mergejoin;
reset enable_material;
reset effective_io_concurrency;
drop table bmscantest;
drop function explain_parallel_sort_stats();
-- test parallel merge join path.
set enable_hashjoin to off;
set enable_nestloop to off;
explain (costs off)
select count(*) from tenk1, tenk2 where tenk1.unique1 = tenk2.unique1;
select count(*) from tenk1, tenk2 where tenk1.unique1 = tenk2.unique1;
reset enable_hashjoin;
reset enable_nestloop;
-- test gather merge
set enable_hashagg = false;
explain (costs off)
select count(*) from tenk1 group by twenty;
select count(*) from tenk1 group by twenty;
--test expressions in targetlist are pushed down for gather merge
create function sp_simple_func(var1 integer) returns integer
as $$
begin
return var1 + 10;
end;
$$ language plpgsql PARALLEL SAFE;
explain (costs off, verbose)
select ten, sp_simple_func(ten) from tenk1 where ten < 100 order by ten;
drop function sp_simple_func(integer);
-- test handling of SRFs in targetlist (bug in 10.0)
explain (costs off)
select count(*), generate_series(1,2) from tenk1 group by twenty;
select count(*), generate_series(1,2) from tenk1 group by twenty;
-- test gather merge with parallel leader participation disabled
set parallel_leader_participation = off;
explain (costs off)
select count(*) from tenk1 group by twenty;
select count(*) from tenk1 group by twenty;
reset parallel_leader_participation;
--test rescan behavior of gather merge
set enable_material = false;
explain (costs off)
select * from
(select string4, count(unique2)
from tenk1 group by string4 order by string4) ss
right join (values (1),(2),(3)) v(x) on true;
select * from
(select string4, count(unique2)
from tenk1 group by string4 order by string4) ss
right join (values (1),(2),(3)) v(x) on true;
reset enable_material;
reset enable_hashagg;
-- check parallelized int8 aggregate (bug #14897)
explain (costs off)
select avg(unique1::int8) from tenk1;
select avg(unique1::int8) from tenk1;
-- gather merge test with a LIMIT
explain (costs off)
select fivethous from tenk1 order by fivethous limit 4;
select fivethous from tenk1 order by fivethous limit 4;
-- gather merge test with 0 worker
set max_parallel_workers = 0;
explain (costs off)
select string4 from tenk1 order by string4 limit 5;
select string4 from tenk1 order by string4 limit 5;
-- gather merge test with 0 workers, with parallel leader
-- participation disabled (the leader will have to run the plan
-- despite the setting)
set parallel_leader_participation = off;
explain (costs off)
select string4 from tenk1 order by string4 limit 5;
select string4 from tenk1 order by string4 limit 5;
reset parallel_leader_participation;
reset max_parallel_workers;
SAVEPOINT settings;
SET LOCAL force_parallel_mode = 1;
explain (costs off)
select stringu1::int2 from tenk1 where unique1 = 1;
ROLLBACK TO SAVEPOINT settings;
-- exercise record typmod remapping between backends
CREATE FUNCTION make_record(n int)
RETURNS RECORD LANGUAGE plpgsql PARALLEL SAFE AS
$$
BEGIN
RETURN CASE n
WHEN 1 THEN ROW(1)
WHEN 2 THEN ROW(1, 2)
WHEN 3 THEN ROW(1, 2, 3)
WHEN 4 THEN ROW(1, 2, 3, 4)
ELSE ROW(1, 2, 3, 4, 5)
END;
END;
$$;
SAVEPOINT settings;
SET LOCAL force_parallel_mode = 1;
SELECT make_record(x) FROM (SELECT generate_series(1, 5) x) ss ORDER BY x;
ROLLBACK TO SAVEPOINT settings;
DROP function make_record(n int);
-- test the sanity of parallel query after the active role is dropped.
drop role if exists regress_parallel_worker;
create role regress_parallel_worker;
set role regress_parallel_worker;
reset session authorization;
drop role regress_parallel_worker;
set force_parallel_mode = 1;
select count(*) from tenk1;
reset force_parallel_mode;
reset role;
-- Window function calculation can't be pushed to workers.
explain (costs off, verbose)
select count(*) from tenk1 a where (unique1, two) in
(select unique1, row_number() over() from tenk1 b);
-- LIMIT/OFFSET within sub-selects can't be pushed to workers.
explain (costs off)
select * from tenk1 a where two in
(select two from tenk1 b where stringu1 like '%AAAA' limit 3);
-- to increase the parallel query test coverage
SAVEPOINT settings;
SET LOCAL force_parallel_mode = 1;
EXPLAIN (analyze, timing off, summary off, costs off) SELECT * FROM tenk1;
ROLLBACK TO SAVEPOINT settings;
-- provoke error in worker
-- (make the error message long enough to require multiple bufferloads)
SAVEPOINT settings;
SET LOCAL force_parallel_mode = 1;
select (stringu1 || repeat('abcd', 5000))::int2 from tenk1 where unique1 = 1;
ROLLBACK TO SAVEPOINT settings;
-- test interaction with set-returning functions
SAVEPOINT settings;
-- multiple subqueries under a single Gather node
-- must set parallel_setup_cost > 0 to discourage multiple Gather nodes
SET LOCAL parallel_setup_cost = 10;
EXPLAIN (COSTS OFF)
SELECT unique1 FROM tenk1 WHERE fivethous = tenthous + 1
UNION ALL
SELECT unique1 FROM tenk1 WHERE fivethous = tenthous + 1;
ROLLBACK TO SAVEPOINT settings;
-- can't use multiple subqueries under a single Gather node due to initPlans
EXPLAIN (COSTS OFF)
SELECT unique1 FROM tenk1 WHERE fivethous =
(SELECT unique1 FROM tenk1 WHERE fivethous = 1 LIMIT 1)
UNION ALL
SELECT unique1 FROM tenk1 WHERE fivethous =
(SELECT unique2 FROM tenk1 WHERE fivethous = 1 LIMIT 1)
ORDER BY 1;
-- test interaction with SRFs
SELECT * FROM information_schema.foreign_data_wrapper_options
ORDER BY 1, 2, 3;
EXPLAIN (VERBOSE, COSTS OFF)
SELECT generate_series(1, two), array(select generate_series(1, two))
FROM tenk1 ORDER BY tenthous;
-- test passing expanded-value representations to workers
CREATE FUNCTION make_some_array(int,int) returns int[] as
$$declare x int[];
begin
x[1] := $1;
x[2] := $2;
return x;
end$$ language plpgsql parallel safe;
CREATE TABLE fooarr(f1 text, f2 int[], f3 text);
INSERT INTO fooarr VALUES('1', ARRAY[1,2], 'one');
PREPARE pstmt(text, int[]) AS SELECT * FROM fooarr WHERE f1 = $1 AND f2 = $2;
EXPLAIN (COSTS OFF) EXECUTE pstmt('1', make_some_array(1,2));
EXECUTE pstmt('1', make_some_array(1,2));
DEALLOCATE pstmt;
-- test interaction between subquery and partial_paths
CREATE VIEW tenk1_vw_sec WITH (security_barrier) AS SELECT * FROM tenk1;
EXPLAIN (COSTS OFF)
SELECT 1 FROM tenk1_vw_sec
WHERE (SELECT sum(f1) FROM int4_tbl WHERE f1 < unique1) < 100;
rollback;