Merge pull request #11788 from ydb-platform/mergelibs-241120-1113

Library import 241120-1113

1 files changed, 1247 insertions, 0 deletions

diff --git a/yql/essentials/tests/postgresql/original/cases/aggregates.sql b/yql/essentials/tests/postgresql/original/cases/aggregates.sql
new file mode 100644
index 0000000000..7cf86465e9
--- /dev/null
+++ b/yql/essentials/tests/postgresql/original/cases/aggregates.sql
@@ -0,0 +1,1247 @@
+--
+-- AGGREGATES
+--
+
+-- avoid bit-exact output here because operations may not be bit-exact.
+SET extra_float_digits = 0;
+
+SELECT avg(four) AS avg_1 FROM onek;
+
+SELECT avg(a) AS avg_32 FROM aggtest WHERE a < 100;
+
+-- In 7.1, avg(float4) is computed using float8 arithmetic.
+-- Round the result to 3 digits to avoid platform-specific results.
+
+SELECT avg(b)::numeric(10,3) AS avg_107_943 FROM aggtest;
+
+SELECT avg(gpa) AS avg_3_4 FROM ONLY student;
+
+
+SELECT sum(four) AS sum_1500 FROM onek;
+SELECT sum(a) AS sum_198 FROM aggtest;
+SELECT sum(b) AS avg_431_773 FROM aggtest;
+SELECT sum(gpa) AS avg_6_8 FROM ONLY student;
+
+SELECT max(four) AS max_3 FROM onek;
+SELECT max(a) AS max_100 FROM aggtest;
+SELECT max(aggtest.b) AS max_324_78 FROM aggtest;
+SELECT max(student.gpa) AS max_3_7 FROM student;
+
+SELECT stddev_pop(b) FROM aggtest;
+SELECT stddev_samp(b) FROM aggtest;
+SELECT var_pop(b) FROM aggtest;
+SELECT var_samp(b) FROM aggtest;
+
+SELECT stddev_pop(b::numeric) FROM aggtest;
+SELECT stddev_samp(b::numeric) FROM aggtest;
+SELECT var_pop(b::numeric) FROM aggtest;
+SELECT var_samp(b::numeric) FROM aggtest;
+
+-- population variance is defined for a single tuple, sample variance
+-- is not
+SELECT var_pop(1.0::float8), var_samp(2.0::float8);
+SELECT stddev_pop(3.0::float8), stddev_samp(4.0::float8);
+SELECT var_pop('inf'::float8), var_samp('inf'::float8);
+SELECT stddev_pop('inf'::float8), stddev_samp('inf'::float8);
+SELECT var_pop('nan'::float8), var_samp('nan'::float8);
+SELECT stddev_pop('nan'::float8), stddev_samp('nan'::float8);
+SELECT var_pop(1.0::float4), var_samp(2.0::float4);
+SELECT stddev_pop(3.0::float4), stddev_samp(4.0::float4);
+SELECT var_pop('inf'::float4), var_samp('inf'::float4);
+SELECT stddev_pop('inf'::float4), stddev_samp('inf'::float4);
+SELECT var_pop('nan'::float4), var_samp('nan'::float4);
+SELECT stddev_pop('nan'::float4), stddev_samp('nan'::float4);
+SELECT var_pop(1.0::numeric), var_samp(2.0::numeric);
+SELECT stddev_pop(3.0::numeric), stddev_samp(4.0::numeric);
+SELECT var_pop('inf'::numeric), var_samp('inf'::numeric);
+SELECT stddev_pop('inf'::numeric), stddev_samp('inf'::numeric);
+SELECT var_pop('nan'::numeric), var_samp('nan'::numeric);
+SELECT stddev_pop('nan'::numeric), stddev_samp('nan'::numeric);
+
+-- verify correct results for null and NaN inputs
+select sum(null::int4) from generate_series(1,3);
+select sum(null::int8) from generate_series(1,3);
+select sum(null::numeric) from generate_series(1,3);
+select sum(null::float8) from generate_series(1,3);
+select avg(null::int4) from generate_series(1,3);
+select avg(null::int8) from generate_series(1,3);
+select avg(null::numeric) from generate_series(1,3);
+select avg(null::float8) from generate_series(1,3);
+select sum('NaN'::numeric) from generate_series(1,3);
+select avg('NaN'::numeric) from generate_series(1,3);
+
+-- verify correct results for infinite inputs
+SELECT sum(x::float8), avg(x::float8), var_pop(x::float8)
+FROM (VALUES ('1'), ('infinity')) v(x);
+SELECT sum(x::float8), avg(x::float8), var_pop(x::float8)
+FROM (VALUES ('infinity'), ('1')) v(x);
+SELECT sum(x::float8), avg(x::float8), var_pop(x::float8)
+FROM (VALUES ('infinity'), ('infinity')) v(x);
+SELECT sum(x::float8), avg(x::float8), var_pop(x::float8)
+FROM (VALUES ('-infinity'), ('infinity')) v(x);
+SELECT sum(x::float8), avg(x::float8), var_pop(x::float8)
+FROM (VALUES ('-infinity'), ('-infinity')) v(x);
+SELECT sum(x::numeric), avg(x::numeric), var_pop(x::numeric)
+FROM (VALUES ('1'), ('infinity')) v(x);
+SELECT sum(x::numeric), avg(x::numeric), var_pop(x::numeric)
+FROM (VALUES ('infinity'), ('1')) v(x);
+SELECT sum(x::numeric), avg(x::numeric), var_pop(x::numeric)
+FROM (VALUES ('infinity'), ('infinity')) v(x);
+SELECT sum(x::numeric), avg(x::numeric), var_pop(x::numeric)
+FROM (VALUES ('-infinity'), ('infinity')) v(x);
+SELECT sum(x::numeric), avg(x::numeric), var_pop(x::numeric)
+FROM (VALUES ('-infinity'), ('-infinity')) v(x);
+
+-- test accuracy with a large input offset
+SELECT avg(x::float8), var_pop(x::float8)
+FROM (VALUES (100000003), (100000004), (100000006), (100000007)) v(x);
+SELECT avg(x::float8), var_pop(x::float8)
+FROM (VALUES (7000000000005), (7000000000007)) v(x);
+
+-- SQL2003 binary aggregates
+SELECT regr_count(b, a) FROM aggtest;
+SELECT regr_sxx(b, a) FROM aggtest;
+SELECT regr_syy(b, a) FROM aggtest;
+SELECT regr_sxy(b, a) FROM aggtest;
+SELECT regr_avgx(b, a), regr_avgy(b, a) FROM aggtest;
+SELECT regr_r2(b, a) FROM aggtest;
+SELECT regr_slope(b, a), regr_intercept(b, a) FROM aggtest;
+SELECT covar_pop(b, a), covar_samp(b, a) FROM aggtest;
+SELECT corr(b, a) FROM aggtest;
+
+-- check single-tuple behavior
+SELECT covar_pop(1::float8,2::float8), covar_samp(3::float8,4::float8);
+SELECT covar_pop(1::float8,'inf'::float8), covar_samp(3::float8,'inf'::float8);
+SELECT covar_pop(1::float8,'nan'::float8), covar_samp(3::float8,'nan'::float8);
+
+-- test accum and combine functions directly
+CREATE TABLE regr_test (x float8, y float8);
+INSERT INTO regr_test VALUES (10,150),(20,250),(30,350),(80,540),(100,200);
+SELECT count(*), sum(x), regr_sxx(y,x), sum(y),regr_syy(y,x), regr_sxy(y,x)
+FROM regr_test WHERE x IN (10,20,30,80);
+SELECT count(*), sum(x), regr_sxx(y,x), sum(y),regr_syy(y,x), regr_sxy(y,x)
+FROM regr_test;
+SELECT float8_accum('{4,140,2900}'::float8[], 100);
+SELECT float8_regr_accum('{4,140,2900,1290,83075,15050}'::float8[], 200, 100);
+SELECT count(*), sum(x), regr_sxx(y,x), sum(y),regr_syy(y,x), regr_sxy(y,x)
+FROM regr_test WHERE x IN (10,20,30);
+SELECT count(*), sum(x), regr_sxx(y,x), sum(y),regr_syy(y,x), regr_sxy(y,x)
+FROM regr_test WHERE x IN (80,100);
+SELECT float8_combine('{3,60,200}'::float8[], '{0,0,0}'::float8[]);
+SELECT float8_combine('{0,0,0}'::float8[], '{2,180,200}'::float8[]);
+SELECT float8_combine('{3,60,200}'::float8[], '{2,180,200}'::float8[]);
+SELECT float8_regr_combine('{3,60,200,750,20000,2000}'::float8[],
+                           '{0,0,0,0,0,0}'::float8[]);
+SELECT float8_regr_combine('{0,0,0,0,0,0}'::float8[],
+                           '{2,180,200,740,57800,-3400}'::float8[]);
+SELECT float8_regr_combine('{3,60,200,750,20000,2000}'::float8[],
+                           '{2,180,200,740,57800,-3400}'::float8[]);
+DROP TABLE regr_test;
+
+-- test count, distinct
+SELECT count(four) AS cnt_1000 FROM onek;
+SELECT count(DISTINCT four) AS cnt_4 FROM onek;
+
+select ten, count(*), sum(four) from onek
+group by ten order by ten;
+
+select ten, count(four), sum(DISTINCT four) from onek
+group by ten order by ten;
+
+-- user-defined aggregates
+SELECT newavg(four) AS avg_1 FROM onek;
+SELECT newsum(four) AS sum_1500 FROM onek;
+SELECT newcnt(four) AS cnt_1000 FROM onek;
+SELECT newcnt(*) AS cnt_1000 FROM onek;
+SELECT oldcnt(*) AS cnt_1000 FROM onek;
+SELECT sum2(q1,q2) FROM int8_tbl;
+
+-- test for outer-level aggregates
+
+-- this should work
+select ten, sum(distinct four) from onek a
+group by ten
+having exists (select 1 from onek b where sum(distinct a.four) = b.four);
+
+-- this should fail because subquery has an agg of its own in WHERE
+select ten, sum(distinct four) from onek a
+group by ten
+having exists (select 1 from onek b
+               where sum(distinct a.four + b.four) = b.four);
+
+-- Test handling of sublinks within outer-level aggregates.
+-- Per bug report from Daniel Grace.
+select
+  (select max((select i.unique2 from tenk1 i where i.unique1 = o.unique1)))
+from tenk1 o;
+
+-- Test handling of Params within aggregate arguments in hashed aggregation.
+-- Per bug report from Jeevan Chalke.
+explain (verbose, costs off)
+select s1, s2, sm
+from generate_series(1, 3) s1,
+     lateral (select s2, sum(s1 + s2) sm
+              from generate_series(1, 3) s2 group by s2) ss
+order by 1, 2;
+select s1, s2, sm
+from generate_series(1, 3) s1,
+     lateral (select s2, sum(s1 + s2) sm
+              from generate_series(1, 3) s2 group by s2) ss
+order by 1, 2;
+
+explain (verbose, costs off)
+select array(select sum(x+y) s
+            from generate_series(1,3) y group by y order by s)
+  from generate_series(1,3) x;
+select array(select sum(x+y) s
+            from generate_series(1,3) y group by y order by s)
+  from generate_series(1,3) x;
+
+--
+-- test for bitwise integer aggregates
+--
+CREATE TEMPORARY TABLE bitwise_test(
+  i2 INT2,
+  i4 INT4,
+  i8 INT8,
+  i INTEGER,
+  x INT2,
+  y BIT(4)
+);
+
+-- empty case
+SELECT
+  BIT_AND(i2) AS "?",
+  BIT_OR(i4)  AS "?",
+  BIT_XOR(i8) AS "?"
+FROM bitwise_test;
+
+COPY bitwise_test FROM STDIN NULL 'null';
+1	1	1	1	1	B0101
+3	3	3	null	2	B0100
+7	7	7	3	4	B1100
+\.
+
+SELECT
+  BIT_AND(i2) AS "1",
+  BIT_AND(i4) AS "1",
+  BIT_AND(i8) AS "1",
+  BIT_AND(i)  AS "?",
+  BIT_AND(x)  AS "0",
+  BIT_AND(y)  AS "0100",
+
+  BIT_OR(i2)  AS "7",
+  BIT_OR(i4)  AS "7",
+  BIT_OR(i8)  AS "7",
+  BIT_OR(i)   AS "?",
+  BIT_OR(x)   AS "7",
+  BIT_OR(y)   AS "1101",
+
+  BIT_XOR(i2) AS "5",
+  BIT_XOR(i4) AS "5",
+  BIT_XOR(i8) AS "5",
+  BIT_XOR(i)  AS "?",
+  BIT_XOR(x)  AS "7",
+  BIT_XOR(y)  AS "1101"
+FROM bitwise_test;
+
+--
+-- test boolean aggregates
+--
+-- first test all possible transition and final states
+
+SELECT
+  -- boolean and transitions
+  -- null because strict
+  booland_statefunc(NULL, NULL)  IS NULL AS "t",
+  booland_statefunc(TRUE, NULL)  IS NULL AS "t",
+  booland_statefunc(FALSE, NULL) IS NULL AS "t",
+  booland_statefunc(NULL, TRUE)  IS NULL AS "t",
+  booland_statefunc(NULL, FALSE) IS NULL AS "t",
+  -- and actual computations
+  booland_statefunc(TRUE, TRUE) AS "t",
+  NOT booland_statefunc(TRUE, FALSE) AS "t",
+  NOT booland_statefunc(FALSE, TRUE) AS "t",
+  NOT booland_statefunc(FALSE, FALSE) AS "t";
+
+SELECT
+  -- boolean or transitions
+  -- null because strict
+  boolor_statefunc(NULL, NULL)  IS NULL AS "t",
+  boolor_statefunc(TRUE, NULL)  IS NULL AS "t",
+  boolor_statefunc(FALSE, NULL) IS NULL AS "t",
+  boolor_statefunc(NULL, TRUE)  IS NULL AS "t",
+  boolor_statefunc(NULL, FALSE) IS NULL AS "t",
+  -- actual computations
+  boolor_statefunc(TRUE, TRUE) AS "t",
+  boolor_statefunc(TRUE, FALSE) AS "t",
+  boolor_statefunc(FALSE, TRUE) AS "t",
+  NOT boolor_statefunc(FALSE, FALSE) AS "t";
+
+CREATE TEMPORARY TABLE bool_test(
+  b1 BOOL,
+  b2 BOOL,
+  b3 BOOL,
+  b4 BOOL);
+
+-- empty case
+SELECT
+  BOOL_AND(b1)   AS "n",
+  BOOL_OR(b3)    AS "n"
+FROM bool_test;
+
+COPY bool_test FROM STDIN NULL 'null';
+TRUE	null	FALSE	null
+FALSE	TRUE	null	null
+null	TRUE	FALSE	null
+\.
+
+SELECT
+  BOOL_AND(b1)     AS "f",
+  BOOL_AND(b2)     AS "t",
+  BOOL_AND(b3)     AS "f",
+  BOOL_AND(b4)     AS "n",
+  BOOL_AND(NOT b2) AS "f",
+  BOOL_AND(NOT b3) AS "t"
+FROM bool_test;
+
+SELECT
+  EVERY(b1)     AS "f",
+  EVERY(b2)     AS "t",
+  EVERY(b3)     AS "f",
+  EVERY(b4)     AS "n",
+  EVERY(NOT b2) AS "f",
+  EVERY(NOT b3) AS "t"
+FROM bool_test;
+
+SELECT
+  BOOL_OR(b1)      AS "t",
+  BOOL_OR(b2)      AS "t",
+  BOOL_OR(b3)      AS "f",
+  BOOL_OR(b4)      AS "n",
+  BOOL_OR(NOT b2)  AS "f",
+  BOOL_OR(NOT b3)  AS "t"
+FROM bool_test;
+
+--
+-- Test cases that should be optimized into indexscans instead of
+-- the generic aggregate implementation.
+--
+
+-- Basic cases
+explain (costs off)
+  select min(unique1) from tenk1;
+select min(unique1) from tenk1;
+explain (costs off)
+  select max(unique1) from tenk1;
+select max(unique1) from tenk1;
+explain (costs off)
+  select max(unique1) from tenk1 where unique1 < 42;
+select max(unique1) from tenk1 where unique1 < 42;
+explain (costs off)
+  select max(unique1) from tenk1 where unique1 > 42;
+select max(unique1) from tenk1 where unique1 > 42;
+
+-- the planner may choose a generic aggregate here if parallel query is
+-- enabled, since that plan will be parallel safe and the "optimized"
+-- plan, which has almost identical cost, will not be.  we want to test
+-- the optimized plan, so temporarily disable parallel query.
+begin;
+set local max_parallel_workers_per_gather = 0;
+explain (costs off)
+  select max(unique1) from tenk1 where unique1 > 42000;
+select max(unique1) from tenk1 where unique1 > 42000;
+rollback;
+
+-- multi-column index (uses tenk1_thous_tenthous)
+explain (costs off)
+  select max(tenthous) from tenk1 where thousand = 33;
+select max(tenthous) from tenk1 where thousand = 33;
+explain (costs off)
+  select min(tenthous) from tenk1 where thousand = 33;
+select min(tenthous) from tenk1 where thousand = 33;
+
+-- check parameter propagation into an indexscan subquery
+explain (costs off)
+  select f1, (select min(unique1) from tenk1 where unique1 > f1) AS gt
+    from int4_tbl;
+select f1, (select min(unique1) from tenk1 where unique1 > f1) AS gt
+  from int4_tbl;
+
+-- check some cases that were handled incorrectly in 8.3.0
+explain (costs off)
+  select distinct max(unique2) from tenk1;
+select distinct max(unique2) from tenk1;
+explain (costs off)
+  select max(unique2) from tenk1 order by 1;
+select max(unique2) from tenk1 order by 1;
+explain (costs off)
+  select max(unique2) from tenk1 order by max(unique2);
+select max(unique2) from tenk1 order by max(unique2);
+explain (costs off)
+  select max(unique2) from tenk1 order by max(unique2)+1;
+select max(unique2) from tenk1 order by max(unique2)+1;
+explain (costs off)
+  select max(unique2), generate_series(1,3) as g from tenk1 order by g desc;
+select max(unique2), generate_series(1,3) as g from tenk1 order by g desc;
+
+-- interesting corner case: constant gets optimized into a seqscan
+explain (costs off)
+  select max(100) from tenk1;
+select max(100) from tenk1;
+
+-- try it on an inheritance tree
+create table minmaxtest(f1 int);
+create table minmaxtest1() inherits (minmaxtest);
+create table minmaxtest2() inherits (minmaxtest);
+create table minmaxtest3() inherits (minmaxtest);
+create index minmaxtesti on minmaxtest(f1);
+create index minmaxtest1i on minmaxtest1(f1);
+create index minmaxtest2i on minmaxtest2(f1 desc);
+create index minmaxtest3i on minmaxtest3(f1) where f1 is not null;
+
+insert into minmaxtest values(11), (12);
+insert into minmaxtest1 values(13), (14);
+insert into minmaxtest2 values(15), (16);
+insert into minmaxtest3 values(17), (18);
+
+explain (costs off)
+  select min(f1), max(f1) from minmaxtest;
+select min(f1), max(f1) from minmaxtest;
+
+-- DISTINCT doesn't do anything useful here, but it shouldn't fail
+explain (costs off)
+  select distinct min(f1), max(f1) from minmaxtest;
+select distinct min(f1), max(f1) from minmaxtest;
+
+drop table minmaxtest cascade;
+
+-- check for correct detection of nested-aggregate errors
+select max(min(unique1)) from tenk1;
+select (select max(min(unique1)) from int8_tbl) from tenk1;
+
+--
+-- Test removal of redundant GROUP BY columns
+--
+
+create temp table t1 (a int, b int, c int, d int, primary key (a, b));
+create temp table t2 (x int, y int, z int, primary key (x, y));
+create temp table t3 (a int, b int, c int, primary key(a, b) deferrable);
+
+-- Non-primary-key columns can be removed from GROUP BY
+explain (costs off) select * from t1 group by a,b,c,d;
+
+-- No removal can happen if the complete PK is not present in GROUP BY
+explain (costs off) select a,c from t1 group by a,c,d;
+
+-- Test removal across multiple relations
+explain (costs off) select *
+from t1 inner join t2 on t1.a = t2.x and t1.b = t2.y
+group by t1.a,t1.b,t1.c,t1.d,t2.x,t2.y,t2.z;
+
+-- Test case where t1 can be optimized but not t2
+explain (costs off) select t1.*,t2.x,t2.z
+from t1 inner join t2 on t1.a = t2.x and t1.b = t2.y
+group by t1.a,t1.b,t1.c,t1.d,t2.x,t2.z;
+
+-- Cannot optimize when PK is deferrable
+explain (costs off) select * from t3 group by a,b,c;
+
+create temp table t1c () inherits (t1);
+
+-- Ensure we don't remove any columns when t1 has a child table
+explain (costs off) select * from t1 group by a,b,c,d;
+
+-- Okay to remove columns if we're only querying the parent.
+explain (costs off) select * from only t1 group by a,b,c,d;
+
+create temp table p_t1 (
+  a int,
+  b int,
+  c int,
+  d int,
+  primary key(a,b)
+) partition by list(a);
+create temp table p_t1_1 partition of p_t1 for values in(1);
+create temp table p_t1_2 partition of p_t1 for values in(2);
+
+-- Ensure we can remove non-PK columns for partitioned tables.
+explain (costs off) select * from p_t1 group by a,b,c,d;
+
+drop table t1 cascade;
+drop table t2;
+drop table t3;
+drop table p_t1;
+
+--
+-- Test GROUP BY matching of join columns that are type-coerced due to USING
+--
+
+create temp table t1(f1 int, f2 bigint);
+create temp table t2(f1 bigint, f22 bigint);
+
+select f1 from t1 left join t2 using (f1) group by f1;
+select f1 from t1 left join t2 using (f1) group by t1.f1;
+select t1.f1 from t1 left join t2 using (f1) group by t1.f1;
+-- only this one should fail:
+select t1.f1 from t1 left join t2 using (f1) group by f1;
+
+drop table t1, t2;
+
+--
+-- Test combinations of DISTINCT and/or ORDER BY
+--
+
+select array_agg(a order by b)
+  from (values (1,4),(2,3),(3,1),(4,2)) v(a,b);
+select array_agg(a order by a)
+  from (values (1,4),(2,3),(3,1),(4,2)) v(a,b);
+select array_agg(a order by a desc)
+  from (values (1,4),(2,3),(3,1),(4,2)) v(a,b);
+select array_agg(b order by a desc)
+  from (values (1,4),(2,3),(3,1),(4,2)) v(a,b);
+
+select array_agg(distinct a)
+  from (values (1),(2),(1),(3),(null),(2)) v(a);
+select array_agg(distinct a order by a)
+  from (values (1),(2),(1),(3),(null),(2)) v(a);
+select array_agg(distinct a order by a desc)
+  from (values (1),(2),(1),(3),(null),(2)) v(a);
+select array_agg(distinct a order by a desc nulls last)
+  from (values (1),(2),(1),(3),(null),(2)) v(a);
+
+-- multi-arg aggs, strict/nonstrict, distinct/order by
+
+select aggfstr(a,b,c)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
+select aggfns(a,b,c)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
+
+select aggfstr(distinct a,b,c)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+       generate_series(1,3) i;
+select aggfns(distinct a,b,c)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+       generate_series(1,3) i;
+
+select aggfstr(distinct a,b,c order by b)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+       generate_series(1,3) i;
+select aggfns(distinct a,b,c order by b)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+       generate_series(1,3) i;
+
+-- test specific code paths
+
+select aggfns(distinct a,a,c order by c using ~<~,a)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+       generate_series(1,2) i;
+select aggfns(distinct a,a,c order by c using ~<~)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+       generate_series(1,2) i;
+select aggfns(distinct a,a,c order by a)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+       generate_series(1,2) i;
+select aggfns(distinct a,b,c order by a,c using ~<~,b)
+  from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+       generate_series(1,2) i;
+
+-- check node I/O via view creation and usage, also deparsing logic
+
+create view agg_view1 as
+  select aggfns(a,b,c)
+    from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
+
+select * from agg_view1;
+select pg_get_viewdef('agg_view1'::regclass);
+
+create or replace view agg_view1 as
+  select aggfns(distinct a,b,c)
+    from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+         generate_series(1,3) i;
+
+select * from agg_view1;
+select pg_get_viewdef('agg_view1'::regclass);
+
+create or replace view agg_view1 as
+  select aggfns(distinct a,b,c order by b)
+    from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+         generate_series(1,3) i;
+
+select * from agg_view1;
+select pg_get_viewdef('agg_view1'::regclass);
+
+create or replace view agg_view1 as
+  select aggfns(a,b,c order by b+1)
+    from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
+
+select * from agg_view1;
+select pg_get_viewdef('agg_view1'::regclass);
+
+create or replace view agg_view1 as
+  select aggfns(a,a,c order by b)
+    from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
+
+select * from agg_view1;
+select pg_get_viewdef('agg_view1'::regclass);
+
+create or replace view agg_view1 as
+  select aggfns(a,b,c order by c using ~<~)
+    from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
+
+select * from agg_view1;
+select pg_get_viewdef('agg_view1'::regclass);
+
+create or replace view agg_view1 as
+  select aggfns(distinct a,b,c order by a,c using ~<~,b)
+    from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+         generate_series(1,2) i;
+
+select * from agg_view1;
+select pg_get_viewdef('agg_view1'::regclass);
+
+drop view agg_view1;
+
+-- incorrect DISTINCT usage errors
+
+select aggfns(distinct a,b,c order by i)
+  from (values (1,1,'foo')) v(a,b,c), generate_series(1,2) i;
+select aggfns(distinct a,b,c order by a,b+1)
+  from (values (1,1,'foo')) v(a,b,c), generate_series(1,2) i;
+select aggfns(distinct a,b,c order by a,b,i,c)
+  from (values (1,1,'foo')) v(a,b,c), generate_series(1,2) i;
+select aggfns(distinct a,a,c order by a,b)
+  from (values (1,1,'foo')) v(a,b,c), generate_series(1,2) i;
+
+-- string_agg tests
+select string_agg(a,',') from (values('aaaa'),('bbbb'),('cccc')) g(a);
+select string_agg(a,',') from (values('aaaa'),(null),('bbbb'),('cccc')) g(a);
+select string_agg(a,'AB') from (values(null),(null),('bbbb'),('cccc')) g(a);
+select string_agg(a,',') from (values(null),(null)) g(a);
+
+-- check some implicit casting cases, as per bug #5564
+select string_agg(distinct f1, ',' order by f1) from varchar_tbl;  -- ok
+select string_agg(distinct f1::text, ',' order by f1) from varchar_tbl;  -- not ok
+select string_agg(distinct f1, ',' order by f1::text) from varchar_tbl;  -- not ok
+select string_agg(distinct f1::text, ',' order by f1::text) from varchar_tbl;  -- ok
+
+-- string_agg bytea tests
+create table bytea_test_table(v bytea);
+
+select string_agg(v, '') from bytea_test_table;
+
+insert into bytea_test_table values(decode('ff','hex'));
+
+select string_agg(v, '') from bytea_test_table;
+
+insert into bytea_test_table values(decode('aa','hex'));
+
+select string_agg(v, '') from bytea_test_table;
+select string_agg(v, NULL) from bytea_test_table;
+select string_agg(v, decode('ee', 'hex')) from bytea_test_table;
+
+drop table bytea_test_table;
+
+-- FILTER tests
+
+select min(unique1) filter (where unique1 > 100) from tenk1;
+
+select sum(1/ten) filter (where ten > 0) from tenk1;
+
+select ten, sum(distinct four) filter (where four::text ~ '123') from onek a
+group by ten;
+
+select ten, sum(distinct four) filter (where four > 10) from onek a
+group by ten
+having exists (select 1 from onek b where sum(distinct a.four) = b.four);
+
+select max(foo COLLATE "C") filter (where (bar collate "POSIX") > '0')
+from (values ('a', 'b')) AS v(foo,bar);
+
+-- outer reference in FILTER (PostgreSQL extension)
+select (select count(*)
+        from (values (1)) t0(inner_c))
+from (values (2),(3)) t1(outer_c); -- inner query is aggregation query
+select (select count(*) filter (where outer_c <> 0)
+        from (values (1)) t0(inner_c))
+from (values (2),(3)) t1(outer_c); -- outer query is aggregation query
+select (select count(inner_c) filter (where outer_c <> 0)
+        from (values (1)) t0(inner_c))
+from (values (2),(3)) t1(outer_c); -- inner query is aggregation query
+select
+  (select max((select i.unique2 from tenk1 i where i.unique1 = o.unique1))
+     filter (where o.unique1 < 10))
+from tenk1 o;					-- outer query is aggregation query
+
+-- subquery in FILTER clause (PostgreSQL extension)
+select sum(unique1) FILTER (WHERE
+  unique1 IN (SELECT unique1 FROM onek where unique1 < 100)) FROM tenk1;
+
+-- exercise lots of aggregate parts with FILTER
+select aggfns(distinct a,b,c order by a,c using ~<~,b) filter (where a > 1)
+    from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
+    generate_series(1,2) i;
+
+-- check handling of bare boolean Var in FILTER
+select max(0) filter (where b1) from bool_test;
+select (select max(0) filter (where b1)) from bool_test;
+
+-- check for correct detection of nested-aggregate errors in FILTER
+select max(unique1) filter (where sum(ten) > 0) from tenk1;
+select (select max(unique1) filter (where sum(ten) > 0) from int8_tbl) from tenk1;
+select max(unique1) filter (where bool_or(ten > 0)) from tenk1;
+select (select max(unique1) filter (where bool_or(ten > 0)) from int8_tbl) from tenk1;
+
+
+-- ordered-set aggregates
+
+select p, percentile_cont(p) within group (order by x::float8)
+from generate_series(1,5) x,
+     (values (0::float8),(0.1),(0.25),(0.4),(0.5),(0.6),(0.75),(0.9),(1)) v(p)
+group by p order by p;
+
+select p, percentile_cont(p order by p) within group (order by x)  -- error
+from generate_series(1,5) x,
+     (values (0::float8),(0.1),(0.25),(0.4),(0.5),(0.6),(0.75),(0.9),(1)) v(p)
+group by p order by p;
+
+select p, sum() within group (order by x::float8)  -- error
+from generate_series(1,5) x,
+     (values (0::float8),(0.1),(0.25),(0.4),(0.5),(0.6),(0.75),(0.9),(1)) v(p)
+group by p order by p;
+
+select p, percentile_cont(p,p)  -- error
+from generate_series(1,5) x,
+     (values (0::float8),(0.1),(0.25),(0.4),(0.5),(0.6),(0.75),(0.9),(1)) v(p)
+group by p order by p;
+
+select percentile_cont(0.5) within group (order by b) from aggtest;
+select percentile_cont(0.5) within group (order by b), sum(b) from aggtest;
+select percentile_cont(0.5) within group (order by thousand) from tenk1;
+select percentile_disc(0.5) within group (order by thousand) from tenk1;
+select rank(3) within group (order by x)
+from (values (1),(1),(2),(2),(3),(3),(4)) v(x);
+select cume_dist(3) within group (order by x)
+from (values (1),(1),(2),(2),(3),(3),(4)) v(x);
+select percent_rank(3) within group (order by x)
+from (values (1),(1),(2),(2),(3),(3),(4),(5)) v(x);
+select dense_rank(3) within group (order by x)
+from (values (1),(1),(2),(2),(3),(3),(4)) v(x);
+
+select percentile_disc(array[0,0.1,0.25,0.5,0.75,0.9,1]) within group (order by thousand)
+from tenk1;
+select percentile_cont(array[0,0.25,0.5,0.75,1]) within group (order by thousand)
+from tenk1;
+select percentile_disc(array[[null,1,0.5],[0.75,0.25,null]]) within group (order by thousand)
+from tenk1;
+select percentile_cont(array[0,1,0.25,0.75,0.5,1,0.3,0.32,0.35,0.38,0.4]) within group (order by x)
+from generate_series(1,6) x;
+
+select ten, mode() within group (order by string4) from tenk1 group by ten;
+
+select percentile_disc(array[0.25,0.5,0.75]) within group (order by x)
+from unnest('{fred,jim,fred,jack,jill,fred,jill,jim,jim,sheila,jim,sheila}'::text[]) u(x);
+
+-- check collation propagates up in suitable cases:
+select pg_collation_for(percentile_disc(1) within group (order by x collate "POSIX"))
+  from (values ('fred'),('jim')) v(x);
+
+-- ordered-set aggs created with CREATE AGGREGATE
+select test_rank(3) within group (order by x)
+from (values (1),(1),(2),(2),(3),(3),(4)) v(x);
+select test_percentile_disc(0.5) within group (order by thousand) from tenk1;
+
+-- ordered-set aggs can't use ungrouped vars in direct args:
+select rank(x) within group (order by x) from generate_series(1,5) x;
+
+-- outer-level agg can't use a grouped arg of a lower level, either:
+select array(select percentile_disc(a) within group (order by x)
+               from (values (0.3),(0.7)) v(a) group by a)
+  from generate_series(1,5) g(x);
+
+-- agg in the direct args is a grouping violation, too:
+select rank(sum(x)) within group (order by x) from generate_series(1,5) x;
+
+-- hypothetical-set type unification and argument-count failures:
+select rank(3) within group (order by x) from (values ('fred'),('jim')) v(x);
+select rank(3) within group (order by stringu1,stringu2) from tenk1;
+select rank('fred') within group (order by x) from generate_series(1,5) x;
+select rank('adam'::text collate "C") within group (order by x collate "POSIX")
+  from (values ('fred'),('jim')) v(x);
+-- hypothetical-set type unification successes:
+select rank('adam'::varchar) within group (order by x) from (values ('fred'),('jim')) v(x);
+select rank('3') within group (order by x) from generate_series(1,5) x;
+
+-- divide by zero check
+select percent_rank(0) within group (order by x) from generate_series(1,0) x;
+
+-- deparse and multiple features:
+create view aggordview1 as
+select ten,
+       percentile_disc(0.5) within group (order by thousand) as p50,
+       percentile_disc(0.5) within group (order by thousand) filter (where hundred=1) as px,
+       rank(5,'AZZZZ',50) within group (order by hundred, string4 desc, hundred)
+  from tenk1
+ group by ten order by ten;
+
+select pg_get_viewdef('aggordview1');
+select * from aggordview1 order by ten;
+drop view aggordview1;
+
+-- variadic aggregates
+select least_agg(q1,q2) from int8_tbl;
+select least_agg(variadic array[q1,q2]) from int8_tbl;
+
+select cleast_agg(q1,q2) from int8_tbl;
+select cleast_agg(4.5,f1) from int4_tbl;
+select cleast_agg(variadic array[4.5,f1]) from int4_tbl;
+select pg_typeof(cleast_agg(variadic array[4.5,f1])) from int4_tbl;
+
+-- test aggregates with common transition functions share the same states
+begin work;
+
+create type avg_state as (total bigint, count bigint);
+
+create or replace function avg_transfn(state avg_state, n int) returns avg_state as
+$$
+declare new_state avg_state;
+begin
+	raise notice 'avg_transfn called with %', n;
+	if state is null then
+		if n is not null then
+			new_state.total := n;
+			new_state.count := 1;
+			return new_state;
+		end if;
+		return null;
+	elsif n is not null then
+		state.total := state.total + n;
+		state.count := state.count + 1;
+		return state;
+	end if;
+
+	return null;
+end
+$$ language plpgsql;
+
+create function avg_finalfn(state avg_state) returns int4 as
+$$
+begin
+	if state is null then
+		return NULL;
+	else
+		return state.total / state.count;
+	end if;
+end
+$$ language plpgsql;
+
+create function sum_finalfn(state avg_state) returns int4 as
+$$
+begin
+	if state is null then
+		return NULL;
+	else
+		return state.total;
+	end if;
+end
+$$ language plpgsql;
+
+create aggregate my_avg(int4)
+(
+   stype = avg_state,
+   sfunc = avg_transfn,
+   finalfunc = avg_finalfn
+);
+
+create aggregate my_sum(int4)
+(
+   stype = avg_state,
+   sfunc = avg_transfn,
+   finalfunc = sum_finalfn
+);
+
+-- aggregate state should be shared as aggs are the same.
+select my_avg(one),my_avg(one) from (values(1),(3)) t(one);
+
+-- aggregate state should be shared as transfn is the same for both aggs.
+select my_avg(one),my_sum(one) from (values(1),(3)) t(one);
+
+-- same as previous one, but with DISTINCT, which requires sorting the input.
+select my_avg(distinct one),my_sum(distinct one) from (values(1),(3),(1)) t(one);
+
+-- shouldn't share states due to the distinctness not matching.
+select my_avg(distinct one),my_sum(one) from (values(1),(3)) t(one);
+
+-- shouldn't share states due to the filter clause not matching.
+select my_avg(one) filter (where one > 1),my_sum(one) from (values(1),(3)) t(one);
+
+-- this should not share the state due to different input columns.
+select my_avg(one),my_sum(two) from (values(1,2),(3,4)) t(one,two);
+
+-- exercise cases where OSAs share state
+select
+  percentile_cont(0.5) within group (order by a),
+  percentile_disc(0.5) within group (order by a)
+from (values(1::float8),(3),(5),(7)) t(a);
+
+select
+  percentile_cont(0.25) within group (order by a),
+  percentile_disc(0.5) within group (order by a)
+from (values(1::float8),(3),(5),(7)) t(a);
+
+-- these can't share state currently
+select
+  rank(4) within group (order by a),
+  dense_rank(4) within group (order by a)
+from (values(1),(3),(5),(7)) t(a);
+
+-- test that aggs with the same sfunc and initcond share the same agg state
+create aggregate my_sum_init(int4)
+(
+   stype = avg_state,
+   sfunc = avg_transfn,
+   finalfunc = sum_finalfn,
+   initcond = '(10,0)'
+);
+
+create aggregate my_avg_init(int4)
+(
+   stype = avg_state,
+   sfunc = avg_transfn,
+   finalfunc = avg_finalfn,
+   initcond = '(10,0)'
+);
+
+create aggregate my_avg_init2(int4)
+(
+   stype = avg_state,
+   sfunc = avg_transfn,
+   finalfunc = avg_finalfn,
+   initcond = '(4,0)'
+);
+
+-- state should be shared if INITCONDs are matching
+select my_sum_init(one),my_avg_init(one) from (values(1),(3)) t(one);
+
+-- Varying INITCONDs should cause the states not to be shared.
+select my_sum_init(one),my_avg_init2(one) from (values(1),(3)) t(one);
+
+rollback;
+
+-- test aggregate state sharing to ensure it works if one aggregate has a
+-- finalfn and the other one has none.
+begin work;
+
+create or replace function sum_transfn(state int4, n int4) returns int4 as
+$$
+declare new_state int4;
+begin
+	raise notice 'sum_transfn called with %', n;
+	if state is null then
+		if n is not null then
+			new_state := n;
+			return new_state;
+		end if;
+		return null;
+	elsif n is not null then
+		state := state + n;
+		return state;
+	end if;
+
+	return null;
+end
+$$ language plpgsql;
+
+create function halfsum_finalfn(state int4) returns int4 as
+$$
+begin
+	if state is null then
+		return NULL;
+	else
+		return state / 2;
+	end if;
+end
+$$ language plpgsql;
+
+create aggregate my_sum(int4)
+(
+   stype = int4,
+   sfunc = sum_transfn
+);
+
+create aggregate my_half_sum(int4)
+(
+   stype = int4,
+   sfunc = sum_transfn,
+   finalfunc = halfsum_finalfn
+);
+
+-- Agg state should be shared even though my_sum has no finalfn
+select my_sum(one),my_half_sum(one) from (values(1),(2),(3),(4)) t(one);
+
+rollback;
+
+
+-- test that the aggregate transition logic correctly handles
+-- transition / combine functions returning NULL
+
+-- First test the case of a normal transition function returning NULL
+BEGIN;
+CREATE FUNCTION balkifnull(int8, int4)
+RETURNS int8
+STRICT
+LANGUAGE plpgsql AS $$
+BEGIN
+    IF $1 IS NULL THEN
+       RAISE 'erroneously called with NULL argument';
+    END IF;
+    RETURN NULL;
+END$$;
+
+CREATE AGGREGATE balk(int4)
+(
+    SFUNC = balkifnull(int8, int4),
+    STYPE = int8,
+    PARALLEL = SAFE,
+    INITCOND = '0'
+);
+
+SELECT balk(hundred) FROM tenk1;
+
+ROLLBACK;
+
+-- Secondly test the case of a parallel aggregate combiner function
+-- returning NULL. For that use normal transition function, but a
+-- combiner function returning NULL.
+BEGIN;
+CREATE FUNCTION balkifnull(int8, int8)
+RETURNS int8
+PARALLEL SAFE
+STRICT
+LANGUAGE plpgsql AS $$
+BEGIN
+    IF $1 IS NULL THEN
+       RAISE 'erroneously called with NULL argument';
+    END IF;
+    RETURN NULL;
+END$$;
+
+CREATE AGGREGATE balk(int4)
+(
+    SFUNC = int4_sum(int8, int4),
+    STYPE = int8,
+    COMBINEFUNC = balkifnull(int8, int8),
+    PARALLEL = SAFE,
+    INITCOND = '0'
+);
+
+-- force use of parallelism
+ALTER TABLE tenk1 set (parallel_workers = 4);
+SET LOCAL parallel_setup_cost=0;
+SET LOCAL max_parallel_workers_per_gather=4;
+
+EXPLAIN (COSTS OFF) SELECT balk(hundred) FROM tenk1;
+SELECT balk(hundred) FROM tenk1;
+
+ROLLBACK;
+
+-- test coverage for aggregate combine/serial/deserial functions
+BEGIN;
+
+SET parallel_setup_cost = 0;
+SET parallel_tuple_cost = 0;
+SET min_parallel_table_scan_size = 0;
+SET max_parallel_workers_per_gather = 4;
+SET parallel_leader_participation = off;
+SET enable_indexonlyscan = off;
+
+-- variance(int4) covers numeric_poly_combine
+-- sum(int8) covers int8_avg_combine
+-- regr_count(float8, float8) covers int8inc_float8_float8 and aggregates with > 1 arg
+EXPLAIN (COSTS OFF, VERBOSE)
+SELECT variance(unique1::int4), sum(unique1::int8), regr_count(unique1::float8, unique1::float8)
+FROM (SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1) u;
+
+SELECT variance(unique1::int4), sum(unique1::int8), regr_count(unique1::float8, unique1::float8)
+FROM (SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1) u;
+
+-- variance(int8) covers numeric_combine
+-- avg(numeric) covers numeric_avg_combine
+EXPLAIN (COSTS OFF, VERBOSE)
+SELECT variance(unique1::int8), avg(unique1::numeric)
+FROM (SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1) u;
+
+SELECT variance(unique1::int8), avg(unique1::numeric)
+FROM (SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1
+      UNION ALL SELECT * FROM tenk1) u;
+
+ROLLBACK;
+
+-- test coverage for dense_rank
+SELECT dense_rank(x) WITHIN GROUP (ORDER BY x) FROM (VALUES (1),(1),(2),(2),(3),(3)) v(x) GROUP BY (x) ORDER BY 1;
+
+
+-- Ensure that the STRICT checks for aggregates does not take NULLness
+-- of ORDER BY columns into account. See bug report around
+-- 2a505161-2727-2473-7c46-591ed108ac52@email.cz
+SELECT min(x ORDER BY y) FROM (VALUES(1, NULL)) AS d(x,y);
+SELECT min(x ORDER BY y) FROM (VALUES(1, 2)) AS d(x,y);
+
+-- check collation-sensitive matching between grouping expressions
+select v||'a', case v||'a' when 'aa' then 1 else 0 end, count(*)
+  from unnest(array['a','b']) u(v)
+ group by v||'a' order by 1;
+select v||'a', case when v||'a' = 'aa' then 1 else 0 end, count(*)
+  from unnest(array['a','b']) u(v)
+ group by v||'a' order by 1;
+
+-- Make sure that generation of HashAggregate for uniqification purposes
+-- does not lead to array overflow due to unexpected duplicate hash keys
+-- see CAFeeJoKKu0u+A_A9R9316djW-YW3-+Gtgvy3ju655qRHR3jtdA@mail.gmail.com
+set enable_memoize to off;
+explain (costs off)
+  select 1 from tenk1
+   where (hundred, thousand) in (select twothousand, twothousand from onek);
+reset enable_memoize;
+
+--
+-- Hash Aggregation Spill tests
+--
+
+set enable_sort=false;
+set work_mem='64kB';
+
+select unique1, count(*), sum(twothousand) from tenk1
+group by unique1
+having sum(fivethous) > 4975
+order by sum(twothousand);
+
+set work_mem to default;
+set enable_sort to default;
+
+--
+-- Compare results between plans using sorting and plans using hash
+-- aggregation. Force spilling in both cases by setting work_mem low.
+--
+
+set work_mem='64kB';
+
+create table agg_data_2k as
+select g from generate_series(0, 1999) g;
+analyze agg_data_2k;
+
+create table agg_data_20k as
+select g from generate_series(0, 19999) g;
+analyze agg_data_20k;
+
+-- Produce results with sorting.
+
+set enable_hashagg = false;
+
+set jit_above_cost = 0;
+
+explain (costs off)
+select g%10000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from agg_data_20k group by g%10000;
+
+create table agg_group_1 as
+select g%10000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from agg_data_20k group by g%10000;
+
+create table agg_group_2 as
+select * from
+  (values (100), (300), (500)) as r(a),
+  lateral (
+    select (g/2)::numeric as c1,
+           array_agg(g::numeric) as c2,
+	   count(*) as c3
+    from agg_data_2k
+    where g < r.a
+    group by g/2) as s;
+
+set jit_above_cost to default;
+
+create table agg_group_3 as
+select (g/2)::numeric as c1, sum(7::int4) as c2, count(*) as c3
+  from agg_data_2k group by g/2;
+
+create table agg_group_4 as
+select (g/2)::numeric as c1, array_agg(g::numeric) as c2, count(*) as c3
+  from agg_data_2k group by g/2;
+
+-- Produce results with hash aggregation
+
+set enable_hashagg = true;
+set enable_sort = false;
+
+set jit_above_cost = 0;
+
+explain (costs off)
+select g%10000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from agg_data_20k group by g%10000;
+
+create table agg_hash_1 as
+select g%10000 as c1, sum(g::numeric) as c2, count(*) as c3
+  from agg_data_20k group by g%10000;
+
+create table agg_hash_2 as
+select * from
+  (values (100), (300), (500)) as r(a),
+  lateral (
+    select (g/2)::numeric as c1,
+           array_agg(g::numeric) as c2,
+	   count(*) as c3
+    from agg_data_2k
+    where g < r.a
+    group by g/2) as s;
+
+set jit_above_cost to default;
+
+create table agg_hash_3 as
+select (g/2)::numeric as c1, sum(7::int4) as c2, count(*) as c3
+  from agg_data_2k group by g/2;
+
+create table agg_hash_4 as
+select (g/2)::numeric as c1, array_agg(g::numeric) as c2, count(*) as c3
+  from agg_data_2k group by g/2;
+
+set enable_sort = true;
+set work_mem to default;
+
+-- Compare group aggregation results to hash aggregation results
+
+(select * from agg_hash_1 except select * from agg_group_1)
+  union all
+(select * from agg_group_1 except select * from agg_hash_1);
+
+(select * from agg_hash_2 except select * from agg_group_2)
+  union all
+(select * from agg_group_2 except select * from agg_hash_2);
+
+(select * from agg_hash_3 except select * from agg_group_3)
+  union all
+(select * from agg_group_3 except select * from agg_hash_3);
+
+(select * from agg_hash_4 except select * from agg_group_4)
+  union all
+(select * from agg_group_4 except select * from agg_hash_4);
+
+drop table agg_group_1;
+drop table agg_group_2;
+drop table agg_group_3;
+drop table agg_group_4;
+drop table agg_hash_1;
+drop table agg_hash_2;
+drop table agg_hash_3;
+drop table agg_hash_4;