should be it

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# name: test/sql/window/test_naive_aggregation.test
# description: Test naive aggregation implementation
# group: [window]
statement ok
SET default_null_order='nulls_first';
statement ok
PRAGMA enable_verification
statement ok
PRAGMA debug_window_mode=separate
statement ok
CREATE TABLE empsalary (depname varchar, empno bigint, salary int, enroll_date date)
statement ok
INSERT INTO empsalary VALUES ('develop', 10, 5200, '2007-08-01'), ('sales', 1, 5000, '2006-10-01'), ('personnel', 5, 3500, '2007-12-10'), ('sales', 4, 4800, '2007-08-08'), ('personnel', 2, 3900, '2006-12-23'), ('develop', 7, 4200, '2008-01-01'), ('develop', 9, 4500, '2008-01-01'), ('sales', 3, 4800, '2007-08-01'), ('develop', 8, 6000, '2006-10-01'), ('develop', 11, 5200, '2007-08-15')
# basic example from postgres' window.sql
query TIIR
SELECT depname, empno, salary, sum(salary) OVER (PARTITION BY depname ORDER BY empno) FROM empsalary ORDER BY depname, empno
----
develop 7 4200 4200.000000
develop 8 6000 10200.000000
develop 9 4500 14700.000000
develop 10 5200 19900.000000
develop 11 5200 25100.000000
personnel 2 3900 3900.000000
personnel 5 3500 7400.000000
sales 1 5000 5000.000000
sales 3 4800 9800.000000
sales 4 4800 14600.000000
# sum
query R
SELECT sum(salary) OVER (PARTITION BY depname ORDER BY salary) ss FROM empsalary ORDER BY depname, ss
----
4200.000000
8700.000000
19100.000000
19100.000000
25100.000000
3500.000000
7400.000000
9600.000000
9600.000000
14600.000000
# min/max/avg
query TIIR
SELECT depname, min(salary) OVER (PARTITION BY depname ORDER BY salary, empno) m1, max(salary) OVER (PARTITION BY depname ORDER BY salary, empno) m2, AVG(salary) OVER (PARTITION BY depname ORDER BY salary, empno) m3 FROM empsalary ORDER BY depname, empno
----
develop 4200 4200 4200.000000
develop 4200 6000 5020.000000
develop 4200 4500 4350.000000
develop 4200 5200 4633.333333
develop 4200 5200 4775.000000
personnel 3500 3900 3700.000000
personnel 3500 3500 3500.000000
sales 4800 5000 4866.666667
sales 4800 4800 4800.000000
sales 4800 4800 4800.000000
# stddev_pop
query TR
SELECT depname, STDDEV_POP(salary) OVER (PARTITION BY depname ORDER BY salary, empno) s FROM empsalary ORDER BY depname, empno
----
develop 0.000000
develop 627.375486
develop 150.000000
develop 418.993503
develop 438.035387
personnel 200.000000
personnel 0.000000
sales 94.280904
sales 0.000000
sales 0.000000
# covar_pop
query TR
SELECT depname, COVAR_POP(salary, empno) OVER (PARTITION BY depname ORDER BY salary, empno) c FROM empsalary ORDER BY depname, empno
----
develop 0.000000
develop 240.000000
develop 150.000000
develop 477.777778
develop 606.250000
personnel -300.000000
personnel 0.000000
sales -111.111111
sales 0.000000
sales 0.000000
statement ok
CREATE TABLE filtering AS
SELECT
x
,round(x * 0.333,0) % 3 AS y
,round(x * 0.333,0) % 3 AS z
FROM generate_series(0,10) tbl(x);
# The x_filtered_window and z_filtered_window columns should return a different output than plain_window
query IIIIII
SELECT
x
,y
,z
,avg(x) OVER (PARTITION BY y) AS plain_window
,avg(x) FILTER (WHERE x = 1) OVER (PARTITION BY y) AS x_filtered_window
,avg(x) FILTER (WHERE z = 0) OVER (PARTITION BY y) AS z_filtered_window
FROM filtering
ORDER BY y, x;
----
0 0.000000 0.000000 5.600000 1.000000 5.600000
1 0.000000 0.000000 5.600000 1.000000 5.600000
8 0.000000 0.000000 5.600000 1.000000 5.600000
9 0.000000 0.000000 5.600000 1.000000 5.600000
10 0.000000 0.000000 5.600000 1.000000 5.600000
2 1.000000 1.000000 3.000000 NULL NULL
3 1.000000 1.000000 3.000000 NULL NULL
4 1.000000 1.000000 3.000000 NULL NULL
5 2.000000 2.000000 6.000000 NULL NULL
6 2.000000 2.000000 6.000000 NULL NULL
7 2.000000 2.000000 6.000000 NULL NULL
# COUNT(*) coverage
query IIIIII
SELECT
x
,y
,z
,count(*) OVER (PARTITION BY y) AS plain_window
,count(*) FILTER (WHERE x = 1) OVER (PARTITION BY y) AS x_filtered_window
,count(*) FILTER (WHERE z = 0) OVER (PARTITION BY y) AS z_filtered_window
FROM filtering
ORDER BY y, x;
----
0 0.000000 0.000000 5 1 5
1 0.000000 0.000000 5 1 5
8 0.000000 0.000000 5 1 5
9 0.000000 0.000000 5 1 5
10 0.000000 0.000000 5 1 5
2 1.000000 1.000000 3 0 0
3 1.000000 1.000000 3 0 0
4 1.000000 1.000000 3 0 0
5 2.000000 2.000000 3 0 0
6 2.000000 2.000000 3 0 0
7 2.000000 2.000000 3 0 0
# Holistic coverage
query IIIIII
SELECT
x
,y
,z
,median(x) OVER (PARTITION BY y) AS plain_window
,median(x) FILTER (WHERE x = 1) OVER (PARTITION BY y) AS x_filtered_window
,median(x) FILTER (WHERE z = 0) OVER (PARTITION BY y) AS z_filtered_window
FROM filtering
ORDER BY y, x;
----
0 0.000000 0.000000 8.000000 1.000000 8.000000
1 0.000000 0.000000 8.000000 1.000000 8.000000
8 0.000000 0.000000 8.000000 1.000000 8.000000
9 0.000000 0.000000 8.000000 1.000000 8.000000
10 0.000000 0.000000 8.000000 1.000000 8.000000
2 1.000000 1.000000 3.000000 NULL NULL
3 1.000000 1.000000 3.000000 NULL NULL
4 1.000000 1.000000 3.000000 NULL NULL
5 2.000000 2.000000 6.000000 NULL NULL
6 2.000000 2.000000 6.000000 NULL NULL
7 2.000000 2.000000 6.000000 NULL NULL
# Filters do not affect framing.
query II
SELECT x, count(x) FILTER (WHERE x % 2 = 0) OVER (ORDER BY x ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING)
FROM generate_series(0,10) tbl(x);
----
0 2
1 2
2 3
3 2
4 3
5 2
6 3
7 2
8 3
9 2
10 2
# Test distinct hash table
statement ok
CREATE TABLE figure1 AS
SELECT *
FROM VALUES
(1, 'a'),
(2, 'b'),
(3, 'b'),
(4, 'c'),
(5, 'c'),
(6, 'b'),
(7, 'c'),
(8, 'a')
v(i, s);
query III
SELECT i
, s
, COUNT(DISTINCT s) OVER( ORDER BY i ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING) AS c
FROM figure1
ORDER BY i
----
1 a 2
2 b 3
3 b 3
4 c 2
5 c 2
6 b 3
7 c 3
8 a 3
# Test distinct and exclude
query III
SELECT i
, s
, COUNT(DISTINCT s) OVER( ORDER BY i ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING EXCLUDE TIES) AS c
FROM figure1
ORDER BY i
----
1 a 2
2 b 3
3 b 3
4 c 2
5 c 2
6 b 3
7 c 3
8 a 3
# Test ORDER BY arguments
# Multiple partitions => multiple threads.
query III
SELECT
i // 10 AS p,
i,
ANY_VALUE(i ORDER BY i DESC) OVER(
PARTITION BY i // 10
ORDER BY i
ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING
) AS c
FROM range(20) tbl(i)
ORDER BY ALL
----
0 0 2
0 1 3
0 2 4
0 3 5
0 4 6
0 5 7
0 6 8
0 7 9
0 8 9
0 9 9
1 10 12
1 11 13
1 12 14
1 13 15
1 14 16
1 15 17
1 16 18
1 17 19
1 18 19
1 19 19
query III
SELECT
i // 10 AS p,
i,
LIST(i ORDER BY i DESC) OVER(
PARTITION BY i // 10
ORDER BY i
ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING
) AS c
FROM range(20) tbl(i)
ORDER BY ALL
----
0 0 [2, 1, 0]
0 1 [3, 2, 1, 0]
0 2 [4, 3, 2, 1, 0]
0 3 [5, 4, 3, 2, 1]
0 4 [6, 5, 4, 3, 2]
0 5 [7, 6, 5, 4, 3]
0 6 [8, 7, 6, 5, 4]
0 7 [9, 8, 7, 6, 5]
0 8 [9, 8, 7, 6]
0 9 [9, 8, 7]
1 10 [12, 11, 10]
1 11 [13, 12, 11, 10]
1 12 [14, 13, 12, 11, 10]
1 13 [15, 14, 13, 12, 11]
1 14 [16, 15, 14, 13, 12]
1 15 [17, 16, 15, 14, 13]
1 16 [18, 17, 16, 15, 14]
1 17 [19, 18, 17, 16, 15]
1 18 [19, 18, 17, 16]
1 19 [19, 18, 17]
# Test DISTINCT + ORDER BY arguments
query III
SELECT
i // 10 AS p,
i,
LIST(DISTINCT i // 2 ORDER BY i DESC) OVER(
PARTITION BY i // 10
ORDER BY i
ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING
) AS c
FROM range(20) tbl(i)
ORDER BY ALL
----
0 0 [1, 0]
0 1 [1, 0]
0 2 [2, 1, 0]
0 3 [2, 1, 0]
0 4 [3, 2, 1]
0 5 [3, 2, 1]
0 6 [4, 3, 2]
0 7 [4, 3, 2]
0 8 [4, 3]
0 9 [4, 3]
1 10 [6, 5]
1 11 [6, 5]
1 12 [7, 6, 5]
1 13 [7, 6, 5]
1 14 [8, 7, 6]
1 15 [8, 7, 6]
1 16 [9, 8, 7]
1 17 [9, 8, 7]
1 18 [9, 8]
1 19 [9, 8]
# Test DISTINCT + ORDER BY + FILTER arguments
query III
SELECT
i // 10 AS p,
i,
LIST(DISTINCT i // 2 ORDER BY i DESC) FILTER (i > 1) OVER(
PARTITION BY i // 10
ORDER BY i
ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING
) AS c
FROM range(20) tbl(i)
ORDER BY ALL
----
0 0 [1]
0 1 [1]
0 2 [2, 1]
0 3 [2, 1]
0 4 [3, 2, 1]
0 5 [3, 2, 1]
0 6 [4, 3, 2]
0 7 [4, 3, 2]
0 8 [4, 3]
0 9 [4, 3]
1 10 [6, 5]
1 11 [6, 5]
1 12 [7, 6, 5]
1 13 [7, 6, 5]
1 14 [8, 7, 6]
1 15 [8, 7, 6]
1 16 [9, 8, 7]
1 17 [9, 8, 7]
1 18 [9, 8]
1 19 [9, 8]