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Many of the objects we create during the regression tests are put in the public schema, so that using the same names in different regression tests creates a hazard of test failures if any two such scripts run concurrently. This patch cleans up a bunch of latent hazards of that sort, as well as two live hazards. The current situation in this regard is far worse than it was a year or two back, because practically all of the partitioning-related test cases have reused table names with enthusiasm. I despaired of cleaning up that mess within the five most-affected tests (create_table, alter_table, insert, update, inherit); fortunately those don't run concurrently. Other than partitioning problems, most of the issues boil down to using names like "foo", "bar", "tmp", etc, without thought for the fact that other test scripts might use similar names concurrently. I've made an effort to make all such names more specific. One of the live hazards was that commit7421f4b8
caused with.sql to create a table named "test", conflicting with a similarly-named table in alter_table.sql; this was exposed in the buildfarm recently. The other one was that join.sql and transactions.sql both create tables named "foo" and "bar"; but join.sql's uses of those names date back only to December or so. Since commit7421f4b8
was back-patched to v10, back-patch a minimal fix for that problem. The rest of this is just future-proofing. Discussion: https://postgr.es/m/4627.1521070268@sss.pgh.pa.us
387 lines
12 KiB
PL/PgSQL
387 lines
12 KiB
PL/PgSQL
--
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-- PARALLEL
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--
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create function sp_parallel_restricted(int) returns int as
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$$begin return $1; end$$ language plpgsql parallel restricted;
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-- Serializable isolation would disable parallel query, so explicitly use an
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-- arbitrary other level.
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begin isolation level repeatable read;
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-- encourage use of parallel plans
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set parallel_setup_cost=0;
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set parallel_tuple_cost=0;
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set min_parallel_table_scan_size=0;
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set max_parallel_workers_per_gather=4;
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-- Parallel Append with partial-subplans
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explain (costs off)
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select round(avg(aa)), sum(aa) from a_star;
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select round(avg(aa)), sum(aa) from a_star a1;
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-- Parallel Append with both partial and non-partial subplans
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alter table c_star set (parallel_workers = 0);
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alter table d_star set (parallel_workers = 0);
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explain (costs off)
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select round(avg(aa)), sum(aa) from a_star;
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select round(avg(aa)), sum(aa) from a_star a2;
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-- Parallel Append with only non-partial subplans
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alter table a_star set (parallel_workers = 0);
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alter table b_star set (parallel_workers = 0);
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alter table e_star set (parallel_workers = 0);
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alter table f_star set (parallel_workers = 0);
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explain (costs off)
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select round(avg(aa)), sum(aa) from a_star;
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select round(avg(aa)), sum(aa) from a_star a3;
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-- Disable Parallel Append
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alter table a_star reset (parallel_workers);
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alter table b_star reset (parallel_workers);
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alter table c_star reset (parallel_workers);
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alter table d_star reset (parallel_workers);
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alter table e_star reset (parallel_workers);
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alter table f_star reset (parallel_workers);
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set enable_parallel_append to off;
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explain (costs off)
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select round(avg(aa)), sum(aa) from a_star;
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select round(avg(aa)), sum(aa) from a_star a4;
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reset enable_parallel_append;
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-- Parallel Append that runs serially
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create function sp_test_func() returns setof text as
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$$ select 'foo'::varchar union all select 'bar'::varchar $$
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language sql stable;
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select sp_test_func() order by 1;
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-- test with leader participation disabled
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set parallel_leader_participation = off;
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explain (costs off)
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select count(*) from tenk1 where stringu1 = 'GRAAAA';
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select count(*) from tenk1 where stringu1 = 'GRAAAA';
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-- test with leader participation disabled, but no workers available (so
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-- the leader will have to run the plan despite the setting)
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set max_parallel_workers = 0;
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explain (costs off)
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select count(*) from tenk1 where stringu1 = 'GRAAAA';
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select count(*) from tenk1 where stringu1 = 'GRAAAA';
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reset max_parallel_workers;
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reset parallel_leader_participation;
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-- test that parallel_restricted function doesn't run in worker
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alter table tenk1 set (parallel_workers = 4);
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explain (verbose, costs off)
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select sp_parallel_restricted(unique1) from tenk1
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where stringu1 = 'GRAAAA' order by 1;
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-- test parallel plan when group by expression is in target list.
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explain (costs off)
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select length(stringu1) from tenk1 group by length(stringu1);
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select length(stringu1) from tenk1 group by length(stringu1);
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explain (costs off)
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select stringu1, count(*) from tenk1 group by stringu1 order by stringu1;
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-- test that parallel plan for aggregates is not selected when
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-- target list contains parallel restricted clause.
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explain (costs off)
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select sum(sp_parallel_restricted(unique1)) from tenk1
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group by(sp_parallel_restricted(unique1));
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-- test prepared statement
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prepare tenk1_count(integer) As select count((unique1)) from tenk1 where hundred > $1;
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explain (costs off) execute tenk1_count(1);
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execute tenk1_count(1);
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deallocate tenk1_count;
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-- test parallel plans for queries containing un-correlated subplans.
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alter table tenk2 set (parallel_workers = 0);
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explain (costs off)
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select count(*) from tenk1 where (two, four) not in
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(select hundred, thousand from tenk2 where thousand > 100);
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select count(*) from tenk1 where (two, four) not in
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(select hundred, thousand from tenk2 where thousand > 100);
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-- this is not parallel-safe due to use of random() within SubLink's testexpr:
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explain (costs off)
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select * from tenk1 where (unique1 + random())::integer not in
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(select ten from tenk2);
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alter table tenk2 reset (parallel_workers);
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-- test parallel plan for a query containing initplan.
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set enable_indexscan = off;
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set enable_indexonlyscan = off;
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set enable_bitmapscan = off;
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alter table tenk2 set (parallel_workers = 2);
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explain (costs off)
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select count(*) from tenk1
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where tenk1.unique1 = (Select max(tenk2.unique1) from tenk2);
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select count(*) from tenk1
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where tenk1.unique1 = (Select max(tenk2.unique1) from tenk2);
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reset enable_indexscan;
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reset enable_indexonlyscan;
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reset enable_bitmapscan;
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alter table tenk2 reset (parallel_workers);
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-- test parallel index scans.
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set enable_seqscan to off;
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set enable_bitmapscan to off;
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explain (costs off)
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select count((unique1)) from tenk1 where hundred > 1;
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select count((unique1)) from tenk1 where hundred > 1;
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-- test parallel index-only scans.
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explain (costs off)
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select count(*) from tenk1 where thousand > 95;
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select count(*) from tenk1 where thousand > 95;
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-- test rescan cases too
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set enable_material = false;
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explain (costs off)
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select * from
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(select count(unique1) from tenk1 where hundred > 10) ss
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right join (values (1),(2),(3)) v(x) on true;
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select * from
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(select count(unique1) from tenk1 where hundred > 10) ss
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right join (values (1),(2),(3)) v(x) on true;
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explain (costs off)
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select * from
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(select count(*) from tenk1 where thousand > 99) ss
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right join (values (1),(2),(3)) v(x) on true;
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select * from
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(select count(*) from tenk1 where thousand > 99) ss
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right join (values (1),(2),(3)) v(x) on true;
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reset enable_material;
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reset enable_seqscan;
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reset enable_bitmapscan;
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-- test parallel bitmap heap scan.
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set enable_seqscan to off;
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set enable_indexscan to off;
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set enable_hashjoin to off;
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set enable_mergejoin to off;
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set enable_material to off;
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-- test prefetching, if the platform allows it
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DO $$
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BEGIN
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SET effective_io_concurrency = 50;
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EXCEPTION WHEN invalid_parameter_value THEN
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END $$;
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set work_mem='64kB'; --set small work mem to force lossy pages
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explain (costs off)
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select count(*) from tenk1, tenk2 where tenk1.hundred > 1 and tenk2.thousand=0;
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select count(*) from tenk1, tenk2 where tenk1.hundred > 1 and tenk2.thousand=0;
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create table bmscantest (a int, t text);
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insert into bmscantest select r, 'fooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo' FROM generate_series(1,100000) r;
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create index i_bmtest ON bmscantest(a);
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select count(*) from bmscantest where a>1;
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-- test accumulation of stats for parallel nodes
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reset enable_seqscan;
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alter table tenk2 set (parallel_workers = 0);
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explain (analyze, timing off, summary off, costs off)
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select count(*) from tenk1, tenk2 where tenk1.hundred > 1
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and tenk2.thousand=0;
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alter table tenk2 reset (parallel_workers);
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reset work_mem;
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create function explain_parallel_sort_stats() returns setof text
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language plpgsql as
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$$
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declare ln text;
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begin
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for ln in
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explain (analyze, timing off, summary off, costs off)
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select * from
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(select ten from tenk1 where ten < 100 order by ten) ss
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right join (values (1),(2),(3)) v(x) on true
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loop
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ln := regexp_replace(ln, 'Memory: \S*', 'Memory: xxx');
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return next ln;
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end loop;
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end;
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$$;
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select * from explain_parallel_sort_stats();
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reset enable_indexscan;
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reset enable_hashjoin;
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reset enable_mergejoin;
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reset enable_material;
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reset effective_io_concurrency;
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drop table bmscantest;
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drop function explain_parallel_sort_stats();
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-- test parallel merge join path.
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set enable_hashjoin to off;
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set enable_nestloop to off;
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explain (costs off)
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select count(*) from tenk1, tenk2 where tenk1.unique1 = tenk2.unique1;
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select count(*) from tenk1, tenk2 where tenk1.unique1 = tenk2.unique1;
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reset enable_hashjoin;
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reset enable_nestloop;
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-- test gather merge
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set enable_hashagg = false;
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explain (costs off)
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select count(*) from tenk1 group by twenty;
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select count(*) from tenk1 group by twenty;
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--test expressions in targetlist are pushed down for gather merge
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create function sp_simple_func(var1 integer) returns integer
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as $$
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begin
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return var1 + 10;
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end;
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$$ language plpgsql PARALLEL SAFE;
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explain (costs off, verbose)
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select ten, sp_simple_func(ten) from tenk1 where ten < 100 order by ten;
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drop function sp_simple_func(integer);
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-- test gather merge with parallel leader participation disabled
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set parallel_leader_participation = off;
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explain (costs off)
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select count(*) from tenk1 group by twenty;
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select count(*) from tenk1 group by twenty;
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reset parallel_leader_participation;
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--test rescan behavior of gather merge
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set enable_material = false;
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explain (costs off)
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select * from
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(select string4, count(unique2)
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from tenk1 group by string4 order by string4) ss
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right join (values (1),(2),(3)) v(x) on true;
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select * from
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(select string4, count(unique2)
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from tenk1 group by string4 order by string4) ss
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right join (values (1),(2),(3)) v(x) on true;
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reset enable_material;
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reset enable_hashagg;
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-- check parallelized int8 aggregate (bug #14897)
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explain (costs off)
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select avg(unique1::int8) from tenk1;
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select avg(unique1::int8) from tenk1;
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-- gather merge test with a LIMIT
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explain (costs off)
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select fivethous from tenk1 order by fivethous limit 4;
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select fivethous from tenk1 order by fivethous limit 4;
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-- gather merge test with 0 worker
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set max_parallel_workers = 0;
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explain (costs off)
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select string4 from tenk1 order by string4 limit 5;
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select string4 from tenk1 order by string4 limit 5;
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-- gather merge test with 0 workers, with parallel leader
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-- participation disabled (the leader will have to run the plan
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-- despite the setting)
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set parallel_leader_participation = off;
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explain (costs off)
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select string4 from tenk1 order by string4 limit 5;
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select string4 from tenk1 order by string4 limit 5;
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reset parallel_leader_participation;
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reset max_parallel_workers;
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SAVEPOINT settings;
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SET LOCAL force_parallel_mode = 1;
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explain (costs off)
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select stringu1::int2 from tenk1 where unique1 = 1;
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ROLLBACK TO SAVEPOINT settings;
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-- exercise record typmod remapping between backends
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CREATE FUNCTION make_record(n int)
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RETURNS RECORD LANGUAGE plpgsql PARALLEL SAFE AS
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$$
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BEGIN
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RETURN CASE n
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WHEN 1 THEN ROW(1)
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WHEN 2 THEN ROW(1, 2)
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WHEN 3 THEN ROW(1, 2, 3)
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WHEN 4 THEN ROW(1, 2, 3, 4)
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ELSE ROW(1, 2, 3, 4, 5)
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END;
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END;
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$$;
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SAVEPOINT settings;
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SET LOCAL force_parallel_mode = 1;
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SELECT make_record(x) FROM (SELECT generate_series(1, 5) x) ss ORDER BY x;
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ROLLBACK TO SAVEPOINT settings;
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DROP function make_record(n int);
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-- test the sanity of parallel query after the active role is dropped.
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drop role if exists regress_parallel_worker;
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create role regress_parallel_worker;
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set role regress_parallel_worker;
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reset session authorization;
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drop role regress_parallel_worker;
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set force_parallel_mode = 1;
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select count(*) from tenk1;
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reset force_parallel_mode;
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reset role;
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-- to increase the parallel query test coverage
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SAVEPOINT settings;
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SET LOCAL force_parallel_mode = 1;
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EXPLAIN (analyze, timing off, summary off, costs off) SELECT * FROM tenk1;
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ROLLBACK TO SAVEPOINT settings;
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-- provoke error in worker
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SAVEPOINT settings;
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SET LOCAL force_parallel_mode = 1;
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select stringu1::int2 from tenk1 where unique1 = 1;
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ROLLBACK TO SAVEPOINT settings;
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-- test interaction with set-returning functions
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SAVEPOINT settings;
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-- multiple subqueries under a single Gather node
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-- must set parallel_setup_cost > 0 to discourage multiple Gather nodes
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SET LOCAL parallel_setup_cost = 10;
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EXPLAIN (COSTS OFF)
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SELECT unique1 FROM tenk1 WHERE fivethous = tenthous + 1
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UNION ALL
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SELECT unique1 FROM tenk1 WHERE fivethous = tenthous + 1;
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ROLLBACK TO SAVEPOINT settings;
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-- can't use multiple subqueries under a single Gather node due to initPlans
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EXPLAIN (COSTS OFF)
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SELECT unique1 FROM tenk1 WHERE fivethous =
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(SELECT unique1 FROM tenk1 WHERE fivethous = 1 LIMIT 1)
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UNION ALL
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SELECT unique1 FROM tenk1 WHERE fivethous =
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(SELECT unique2 FROM tenk1 WHERE fivethous = 1 LIMIT 1)
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ORDER BY 1;
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-- test interaction with SRFs
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SELECT * FROM information_schema.foreign_data_wrapper_options
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ORDER BY 1, 2, 3;
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rollback;
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