1954 lines
72 KiB
PL/PgSQL
1954 lines
72 KiB
PL/PgSQL
--
|
|
-- WINDOW FUNCTIONS
|
|
--
|
|
|
|
CREATE TEMPORARY TABLE empsalary (
|
|
depname varchar,
|
|
empno bigint,
|
|
salary int,
|
|
enroll_date date
|
|
);
|
|
|
|
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');
|
|
|
|
SELECT depname, empno, salary, sum(salary) OVER (PARTITION BY depname) FROM empsalary ORDER BY depname, salary;
|
|
|
|
SELECT depname, empno, salary, rank() OVER (PARTITION BY depname ORDER BY salary) FROM empsalary;
|
|
|
|
-- with GROUP BY
|
|
SELECT four, ten, SUM(SUM(four)) OVER (PARTITION BY four), AVG(ten) FROM tenk1
|
|
GROUP BY four, ten ORDER BY four, ten;
|
|
|
|
SELECT depname, empno, salary, sum(salary) OVER w FROM empsalary WINDOW w AS (PARTITION BY depname);
|
|
|
|
SELECT depname, empno, salary, rank() OVER w FROM empsalary WINDOW w AS (PARTITION BY depname ORDER BY salary) ORDER BY rank() OVER w;
|
|
|
|
-- empty window specification
|
|
SELECT COUNT(*) OVER () FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT COUNT(*) OVER w FROM tenk1 WHERE unique2 < 10 WINDOW w AS ();
|
|
|
|
-- no window operation
|
|
SELECT four FROM tenk1 WHERE FALSE WINDOW w AS (PARTITION BY ten);
|
|
|
|
-- cumulative aggregate
|
|
SELECT sum(four) OVER (PARTITION BY ten ORDER BY unique2) AS sum_1, ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT row_number() OVER (ORDER BY unique2) FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT rank() OVER (PARTITION BY four ORDER BY ten) AS rank_1, ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT dense_rank() OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT percent_rank() OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT cume_dist() OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT ntile(3) OVER (ORDER BY ten, four), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT ntile(NULL) OVER (ORDER BY ten, four), ten, four FROM tenk1 LIMIT 2;
|
|
|
|
SELECT lag(ten) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT lag(ten, four) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT lag(ten, four, 0) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
SELECT lag(ten, four, 0.7) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10 ORDER BY four, ten;
|
|
|
|
SELECT lead(ten) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT lead(ten * 2, 1) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT lead(ten * 2, 1, -1) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
SELECT lead(ten * 2, 1, -1.4) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10 ORDER BY four, ten;
|
|
|
|
SELECT first_value(ten) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
-- last_value returns the last row of the frame, which is CURRENT ROW in ORDER BY window.
|
|
SELECT last_value(four) OVER (ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT last_value(ten) OVER (PARTITION BY four), ten, four FROM
|
|
(SELECT * FROM tenk1 WHERE unique2 < 10 ORDER BY four, ten)s
|
|
ORDER BY four, ten;
|
|
|
|
SELECT nth_value(ten, four + 1) OVER (PARTITION BY four), ten, four
|
|
FROM (SELECT * FROM tenk1 WHERE unique2 < 10 ORDER BY four, ten)s;
|
|
|
|
SELECT ten, two, sum(hundred) AS gsum, sum(sum(hundred)) OVER (PARTITION BY two ORDER BY ten) AS wsum
|
|
FROM tenk1 GROUP BY ten, two;
|
|
|
|
SELECT count(*) OVER (PARTITION BY four), four FROM (SELECT * FROM tenk1 WHERE two = 1)s WHERE unique2 < 10;
|
|
|
|
SELECT (count(*) OVER (PARTITION BY four ORDER BY ten) +
|
|
sum(hundred) OVER (PARTITION BY four ORDER BY ten))::varchar AS cntsum
|
|
FROM tenk1 WHERE unique2 < 10;
|
|
|
|
-- opexpr with different windows evaluation.
|
|
SELECT * FROM(
|
|
SELECT count(*) OVER (PARTITION BY four ORDER BY ten) +
|
|
sum(hundred) OVER (PARTITION BY two ORDER BY ten) AS total,
|
|
count(*) OVER (PARTITION BY four ORDER BY ten) AS fourcount,
|
|
sum(hundred) OVER (PARTITION BY two ORDER BY ten) AS twosum
|
|
FROM tenk1
|
|
)sub
|
|
WHERE total <> fourcount + twosum;
|
|
|
|
SELECT avg(four) OVER (PARTITION BY four ORDER BY thousand / 100) FROM tenk1 WHERE unique2 < 10;
|
|
|
|
SELECT ten, two, sum(hundred) AS gsum, sum(sum(hundred)) OVER win AS wsum
|
|
FROM tenk1 GROUP BY ten, two WINDOW win AS (PARTITION BY two ORDER BY ten);
|
|
|
|
-- more than one window with GROUP BY
|
|
SELECT sum(salary),
|
|
row_number() OVER (ORDER BY depname),
|
|
sum(sum(salary)) OVER (ORDER BY depname DESC)
|
|
FROM empsalary GROUP BY depname;
|
|
|
|
-- identical windows with different names
|
|
SELECT sum(salary) OVER w1, count(*) OVER w2
|
|
FROM empsalary WINDOW w1 AS (ORDER BY salary), w2 AS (ORDER BY salary);
|
|
|
|
-- subplan
|
|
SELECT lead(ten, (SELECT two FROM tenk1 WHERE s.unique2 = unique2)) OVER (PARTITION BY four ORDER BY ten)
|
|
FROM tenk1 s WHERE unique2 < 10;
|
|
|
|
-- empty table
|
|
SELECT count(*) OVER (PARTITION BY four) FROM (SELECT * FROM tenk1 WHERE FALSE)s;
|
|
|
|
-- mixture of agg/wfunc in the same window
|
|
SELECT sum(salary) OVER w, rank() OVER w FROM empsalary WINDOW w AS (PARTITION BY depname ORDER BY salary DESC);
|
|
|
|
-- strict aggs
|
|
SELECT empno, depname, salary, bonus, depadj, MIN(bonus) OVER (ORDER BY empno), MAX(depadj) OVER () FROM(
|
|
SELECT *,
|
|
CASE WHEN enroll_date < '2008-01-01' THEN 2008 - extract(YEAR FROM enroll_date) END * 500 AS bonus,
|
|
CASE WHEN
|
|
AVG(salary) OVER (PARTITION BY depname) < salary
|
|
THEN 200 END AS depadj FROM empsalary
|
|
)s;
|
|
|
|
-- window function over ungrouped agg over empty row set (bug before 9.1)
|
|
SELECT SUM(COUNT(f1)) OVER () FROM int4_tbl WHERE f1=42;
|
|
|
|
-- window function with ORDER BY an expression involving aggregates (9.1 bug)
|
|
select ten,
|
|
sum(unique1) + sum(unique2) as res,
|
|
rank() over (order by sum(unique1) + sum(unique2)) as rank
|
|
from tenk1
|
|
group by ten order by ten;
|
|
|
|
-- window and aggregate with GROUP BY expression (9.2 bug)
|
|
explain (costs off)
|
|
select first_value(max(x)) over (), y
|
|
from (select unique1 as x, ten+four as y from tenk1) ss
|
|
group by y;
|
|
|
|
-- window functions returning pass-by-ref values from different rows
|
|
select x, lag(x, 1) over (order by x), lead(x, 3) over (order by x)
|
|
from (select x::numeric as x from generate_series(1,10) x);
|
|
|
|
-- test non-default frame specifications
|
|
SELECT four, ten,
|
|
sum(ten) over (partition by four order by ten),
|
|
last_value(ten) over (partition by four order by ten)
|
|
FROM (select distinct ten, four from tenk1) ss;
|
|
|
|
SELECT four, ten,
|
|
sum(ten) over (partition by four order by ten range between unbounded preceding and current row),
|
|
last_value(ten) over (partition by four order by ten range between unbounded preceding and current row)
|
|
FROM (select distinct ten, four from tenk1) ss;
|
|
|
|
SELECT four, ten,
|
|
sum(ten) over (partition by four order by ten range between unbounded preceding and unbounded following),
|
|
last_value(ten) over (partition by four order by ten range between unbounded preceding and unbounded following)
|
|
FROM (select distinct ten, four from tenk1) ss;
|
|
|
|
SELECT four, ten/4 as two,
|
|
sum(ten/4) over (partition by four order by ten/4 range between unbounded preceding and current row),
|
|
last_value(ten/4) over (partition by four order by ten/4 range between unbounded preceding and current row)
|
|
FROM (select distinct ten, four from tenk1) ss;
|
|
|
|
SELECT four, ten/4 as two,
|
|
sum(ten/4) over (partition by four order by ten/4 rows between unbounded preceding and current row),
|
|
last_value(ten/4) over (partition by four order by ten/4 rows between unbounded preceding and current row)
|
|
FROM (select distinct ten, four from tenk1) ss;
|
|
|
|
SELECT sum(unique1) over (order by four range between current row and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between current row and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between 2 preceding and 2 following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between 2 preceding and 2 following exclude no others),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between 2 preceding and 2 following exclude current row),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between 2 preceding and 2 following exclude group),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between 2 preceding and 2 following exclude ties),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT first_value(unique1) over (ORDER BY four rows between current row and 2 following exclude current row),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT first_value(unique1) over (ORDER BY four rows between current row and 2 following exclude group),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT first_value(unique1) over (ORDER BY four rows between current row and 2 following exclude ties),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT last_value(unique1) over (ORDER BY four rows between current row and 2 following exclude current row),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT last_value(unique1) over (ORDER BY four rows between current row and 2 following exclude group),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT last_value(unique1) over (ORDER BY four rows between current row and 2 following exclude ties),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between 2 preceding and 1 preceding),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between 1 following and 3 following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between unbounded preceding and 1 following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (w range between current row and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10 WINDOW w AS (order by four);
|
|
|
|
SELECT sum(unique1) over (w range between unbounded preceding and current row exclude current row),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10 WINDOW w AS (order by four);
|
|
|
|
SELECT sum(unique1) over (w range between unbounded preceding and current row exclude group),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10 WINDOW w AS (order by four);
|
|
|
|
SELECT sum(unique1) over (w range between unbounded preceding and current row exclude ties),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10 WINDOW w AS (order by four);
|
|
|
|
SELECT first_value(unique1) over w,
|
|
nth_value(unique1, 2) over w AS nth_2,
|
|
last_value(unique1) over w, unique1, four
|
|
FROM tenk1 WHERE unique1 < 10
|
|
WINDOW w AS (order by four range between current row and unbounded following);
|
|
|
|
SELECT sum(unique1) over
|
|
(order by unique1
|
|
rows (SELECT unique1 FROM tenk1 ORDER BY unique1 LIMIT 1) + 1 PRECEDING),
|
|
unique1
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
CREATE TEMP VIEW v_window AS
|
|
SELECT i, sum(i) over (order by i rows between 1 preceding and 1 following) as sum_rows
|
|
FROM generate_series(1, 10) i;
|
|
|
|
SELECT * FROM v_window;
|
|
|
|
SELECT pg_get_viewdef('v_window');
|
|
|
|
CREATE OR REPLACE TEMP VIEW v_window AS
|
|
SELECT i, sum(i) over (order by i rows between 1 preceding and 1 following
|
|
exclude current row) as sum_rows FROM generate_series(1, 10) i;
|
|
|
|
SELECT * FROM v_window;
|
|
|
|
SELECT pg_get_viewdef('v_window');
|
|
|
|
CREATE OR REPLACE TEMP VIEW v_window AS
|
|
SELECT i, sum(i) over (order by i rows between 1 preceding and 1 following
|
|
exclude group) as sum_rows FROM generate_series(1, 10) i;
|
|
|
|
SELECT * FROM v_window;
|
|
|
|
SELECT pg_get_viewdef('v_window');
|
|
|
|
CREATE OR REPLACE TEMP VIEW v_window AS
|
|
SELECT i, sum(i) over (order by i rows between 1 preceding and 1 following
|
|
exclude ties) as sum_rows FROM generate_series(1, 10) i;
|
|
|
|
SELECT * FROM v_window;
|
|
|
|
SELECT pg_get_viewdef('v_window');
|
|
|
|
CREATE OR REPLACE TEMP VIEW v_window AS
|
|
SELECT i, sum(i) over (order by i rows between 1 preceding and 1 following
|
|
exclude no others) as sum_rows FROM generate_series(1, 10) i;
|
|
|
|
SELECT * FROM v_window;
|
|
|
|
SELECT pg_get_viewdef('v_window');
|
|
|
|
CREATE OR REPLACE TEMP VIEW v_window AS
|
|
SELECT i, sum(i) over (order by i groups between 1 preceding and 1 following) as sum_rows FROM generate_series(1, 10) i;
|
|
|
|
SELECT * FROM v_window;
|
|
|
|
SELECT pg_get_viewdef('v_window');
|
|
|
|
DROP VIEW v_window;
|
|
|
|
CREATE TEMP VIEW v_window AS
|
|
SELECT i, min(i) over (order by i range between '1 day' preceding and '10 days' following) as min_i
|
|
FROM generate_series(now(), now()+'100 days'::interval, '1 hour') i;
|
|
|
|
SELECT pg_get_viewdef('v_window');
|
|
|
|
-- RANGE offset PRECEDING/FOLLOWING tests
|
|
|
|
SELECT sum(unique1) over (order by four range between 2::int8 preceding and 1::int2 preceding),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four desc range between 2::int8 preceding and 1::int2 preceding),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four range between 2::int8 preceding and 1::int2 preceding exclude no others),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four range between 2::int8 preceding and 1::int2 preceding exclude current row),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four range between 2::int8 preceding and 1::int2 preceding exclude group),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four range between 2::int8 preceding and 1::int2 preceding exclude ties),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four range between 2::int8 preceding and 6::int2 following exclude ties),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four range between 2::int8 preceding and 6::int2 following exclude group),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (partition by four order by unique1 range between 5::int8 preceding and 6::int2 following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (partition by four order by unique1 range between 5::int8 preceding and 6::int2 following
|
|
exclude current row),unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
select sum(salary) over (order by enroll_date range between '1 year'::interval preceding and '1 year'::interval following),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select sum(salary) over (order by enroll_date desc range between '1 year'::interval preceding and '1 year'::interval following),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select sum(salary) over (order by enroll_date desc range between '1 year'::interval following and '1 year'::interval following),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select sum(salary) over (order by enroll_date range between '1 year'::interval preceding and '1 year'::interval following
|
|
exclude current row), salary, enroll_date from empsalary;
|
|
|
|
select sum(salary) over (order by enroll_date range between '1 year'::interval preceding and '1 year'::interval following
|
|
exclude group), salary, enroll_date from empsalary;
|
|
|
|
select sum(salary) over (order by enroll_date range between '1 year'::interval preceding and '1 year'::interval following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
select first_value(salary) over(order by salary range between 1000 preceding and 1000 following),
|
|
lead(salary) over(order by salary range between 1000 preceding and 1000 following),
|
|
nth_value(salary, 1) over(order by salary range between 1000 preceding and 1000 following),
|
|
salary from empsalary;
|
|
|
|
select last_value(salary) over(order by salary range between 1000 preceding and 1000 following),
|
|
lag(salary) over(order by salary range between 1000 preceding and 1000 following),
|
|
salary from empsalary;
|
|
|
|
select first_value(salary) over(order by salary range between 1000 following and 3000 following
|
|
exclude current row),
|
|
lead(salary) over(order by salary range between 1000 following and 3000 following exclude ties),
|
|
nth_value(salary, 1) over(order by salary range between 1000 following and 3000 following
|
|
exclude ties),
|
|
salary from empsalary;
|
|
|
|
select last_value(salary) over(order by salary range between 1000 following and 3000 following
|
|
exclude group),
|
|
lag(salary) over(order by salary range between 1000 following and 3000 following exclude group),
|
|
salary from empsalary;
|
|
|
|
select first_value(salary) over(order by enroll_date range between unbounded preceding and '1 year'::interval following
|
|
exclude ties),
|
|
last_value(salary) over(order by enroll_date range between unbounded preceding and '1 year'::interval following),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select first_value(salary) over(order by enroll_date range between unbounded preceding and '1 year'::interval following
|
|
exclude ties),
|
|
last_value(salary) over(order by enroll_date range between unbounded preceding and '1 year'::interval following
|
|
exclude ties),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select first_value(salary) over(order by enroll_date range between unbounded preceding and '1 year'::interval following
|
|
exclude group),
|
|
last_value(salary) over(order by enroll_date range between unbounded preceding and '1 year'::interval following
|
|
exclude group),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select first_value(salary) over(order by enroll_date range between unbounded preceding and '1 year'::interval following
|
|
exclude current row),
|
|
last_value(salary) over(order by enroll_date range between unbounded preceding and '1 year'::interval following
|
|
exclude current row),
|
|
salary, enroll_date from empsalary;
|
|
|
|
-- RANGE offset PRECEDING/FOLLOWING with null values
|
|
select x, y,
|
|
first_value(y) over w,
|
|
last_value(y) over w
|
|
from
|
|
(select x, x as y from generate_series(1,5) as x
|
|
union all select null, 42
|
|
union all select null, 43) ss
|
|
window w as
|
|
(order by x asc nulls first range between 2 preceding and 2 following);
|
|
|
|
select x, y,
|
|
first_value(y) over w,
|
|
last_value(y) over w
|
|
from
|
|
(select x, x as y from generate_series(1,5) as x
|
|
union all select null, 42
|
|
union all select null, 43) ss
|
|
window w as
|
|
(order by x asc nulls last range between 2 preceding and 2 following);
|
|
|
|
select x, y,
|
|
first_value(y) over w,
|
|
last_value(y) over w
|
|
from
|
|
(select x, x as y from generate_series(1,5) as x
|
|
union all select null, 42
|
|
union all select null, 43) ss
|
|
window w as
|
|
(order by x desc nulls first range between 2 preceding and 2 following);
|
|
|
|
select x, y,
|
|
first_value(y) over w,
|
|
last_value(y) over w
|
|
from
|
|
(select x, x as y from generate_series(1,5) as x
|
|
union all select null, 42
|
|
union all select null, 43) ss
|
|
window w as
|
|
(order by x desc nulls last range between 2 preceding and 2 following);
|
|
|
|
-- There is a syntactic ambiguity in the SQL standard. Since
|
|
-- UNBOUNDED is a non-reserved word, it could be the name of a
|
|
-- function parameter and be used as an expression. There is a
|
|
-- grammar hack to resolve such cases as the keyword. The following
|
|
-- tests record this behavior.
|
|
|
|
CREATE FUNCTION unbounded_syntax_test1a(x int) RETURNS TABLE (a int, b int, c int)
|
|
LANGUAGE SQL
|
|
BEGIN ATOMIC
|
|
SELECT sum(unique1) over (rows between x preceding and x following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
END;
|
|
|
|
CREATE FUNCTION unbounded_syntax_test1b(x int) RETURNS TABLE (a int, b int, c int)
|
|
LANGUAGE SQL
|
|
AS $$
|
|
SELECT sum(unique1) over (rows between x preceding and x following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
$$;
|
|
|
|
-- These will apply the argument to the window specification inside the function.
|
|
SELECT * FROM unbounded_syntax_test1a(2);
|
|
SELECT * FROM unbounded_syntax_test1b(2);
|
|
|
|
CREATE FUNCTION unbounded_syntax_test2a(unbounded int) RETURNS TABLE (a int, b int, c int)
|
|
LANGUAGE SQL
|
|
BEGIN ATOMIC
|
|
SELECT sum(unique1) over (rows between unbounded preceding and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
END;
|
|
|
|
CREATE FUNCTION unbounded_syntax_test2b(unbounded int) RETURNS TABLE (a int, b int, c int)
|
|
LANGUAGE SQL
|
|
AS $$
|
|
SELECT sum(unique1) over (rows between unbounded preceding and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
$$;
|
|
|
|
-- These will not apply the argument but instead treat UNBOUNDED as a keyword.
|
|
SELECT * FROM unbounded_syntax_test2a(2);
|
|
SELECT * FROM unbounded_syntax_test2b(2);
|
|
|
|
DROP FUNCTION unbounded_syntax_test1a, unbounded_syntax_test1b,
|
|
unbounded_syntax_test2a, unbounded_syntax_test2b;
|
|
|
|
-- Other tests with token UNBOUNDED in potentially problematic position
|
|
CREATE FUNCTION unbounded(x int) RETURNS int LANGUAGE SQL IMMUTABLE RETURN x;
|
|
|
|
SELECT sum(unique1) over (rows between 1 preceding and 1 following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between unbounded(1) preceding and unbounded(1) following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (rows between unbounded.x preceding and unbounded.x following),
|
|
unique1, four
|
|
FROM tenk1, (values (1)) as unbounded(x) WHERE unique1 < 10;
|
|
|
|
DROP FUNCTION unbounded;
|
|
|
|
-- Check overflow behavior for various integer sizes
|
|
|
|
select x, last_value(x) over (order by x::smallint range between current row and 2147450884 following)
|
|
from generate_series(32764, 32766) x;
|
|
|
|
select x, last_value(x) over (order by x::smallint desc range between current row and 2147450885 following)
|
|
from generate_series(-32766, -32764) x;
|
|
|
|
select x, last_value(x) over (order by x range between current row and 4 following)
|
|
from generate_series(2147483644, 2147483646) x;
|
|
|
|
select x, last_value(x) over (order by x desc range between current row and 5 following)
|
|
from generate_series(-2147483646, -2147483644) x;
|
|
|
|
select x, last_value(x) over (order by x range between current row and 4 following)
|
|
from generate_series(9223372036854775804, 9223372036854775806) x;
|
|
|
|
select x, last_value(x) over (order by x desc range between current row and 5 following)
|
|
from generate_series(-9223372036854775806, -9223372036854775804) x;
|
|
|
|
-- Test in_range for other numeric datatypes
|
|
|
|
create temp table numerics(
|
|
id int,
|
|
f_float4 float4,
|
|
f_float8 float8,
|
|
f_numeric numeric
|
|
);
|
|
|
|
insert into numerics values
|
|
(0, '-infinity', '-infinity', '-infinity'),
|
|
(1, -3, -3, -3),
|
|
(2, -1, -1, -1),
|
|
(3, 0, 0, 0),
|
|
(4, 1.1, 1.1, 1.1),
|
|
(5, 1.12, 1.12, 1.12),
|
|
(6, 2, 2, 2),
|
|
(7, 100, 100, 100),
|
|
(8, 'infinity', 'infinity', 'infinity'),
|
|
(9, 'NaN', 'NaN', 'NaN');
|
|
|
|
select id, f_float4, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float4 range between
|
|
1 preceding and 1 following);
|
|
select id, f_float4, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float4 range between
|
|
1 preceding and 1.1::float4 following);
|
|
select id, f_float4, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float4 range between
|
|
'inf' preceding and 'inf' following);
|
|
select id, f_float4, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float4 range between
|
|
'inf' preceding and 'inf' preceding);
|
|
select id, f_float4, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float4 range between
|
|
'inf' following and 'inf' following);
|
|
select id, f_float4, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float4 range between
|
|
1.1 preceding and 'NaN' following); -- error, NaN disallowed
|
|
|
|
select id, f_float8, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float8 range between
|
|
1 preceding and 1 following);
|
|
select id, f_float8, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float8 range between
|
|
1 preceding and 1.1::float8 following);
|
|
select id, f_float8, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float8 range between
|
|
'inf' preceding and 'inf' following);
|
|
select id, f_float8, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float8 range between
|
|
'inf' preceding and 'inf' preceding);
|
|
select id, f_float8, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float8 range between
|
|
'inf' following and 'inf' following);
|
|
select id, f_float8, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_float8 range between
|
|
1.1 preceding and 'NaN' following); -- error, NaN disallowed
|
|
|
|
select id, f_numeric, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_numeric range between
|
|
1 preceding and 1 following);
|
|
select id, f_numeric, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_numeric range between
|
|
1 preceding and 1.1::numeric following);
|
|
select id, f_numeric, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_numeric range between
|
|
1 preceding and 1.1::float8 following); -- currently unsupported
|
|
select id, f_numeric, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_numeric range between
|
|
'inf' preceding and 'inf' following);
|
|
select id, f_numeric, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_numeric range between
|
|
'inf' preceding and 'inf' preceding);
|
|
select id, f_numeric, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_numeric range between
|
|
'inf' following and 'inf' following);
|
|
select id, f_numeric, first_value(id) over w, last_value(id) over w
|
|
from numerics
|
|
window w as (order by f_numeric range between
|
|
1.1 preceding and 'NaN' following); -- error, NaN disallowed
|
|
|
|
-- Test in_range for other datetime datatypes
|
|
|
|
create temp table datetimes(
|
|
id int,
|
|
f_time time,
|
|
f_timetz timetz,
|
|
f_interval interval,
|
|
f_timestamptz timestamptz,
|
|
f_timestamp timestamp
|
|
);
|
|
|
|
insert into datetimes values
|
|
(0, '10:00', '10:00 BST', '-infinity', '-infinity', '-infinity'),
|
|
(1, '11:00', '11:00 BST', '1 year', '2000-10-19 10:23:54+01', '2000-10-19 10:23:54'),
|
|
(2, '12:00', '12:00 BST', '2 years', '2001-10-19 10:23:54+01', '2001-10-19 10:23:54'),
|
|
(3, '13:00', '13:00 BST', '3 years', '2001-10-19 10:23:54+01', '2001-10-19 10:23:54'),
|
|
(4, '14:00', '14:00 BST', '4 years', '2002-10-19 10:23:54+01', '2002-10-19 10:23:54'),
|
|
(5, '15:00', '15:00 BST', '5 years', '2003-10-19 10:23:54+01', '2003-10-19 10:23:54'),
|
|
(6, '15:00', '15:00 BST', '5 years', '2004-10-19 10:23:54+01', '2004-10-19 10:23:54'),
|
|
(7, '17:00', '17:00 BST', '7 years', '2005-10-19 10:23:54+01', '2005-10-19 10:23:54'),
|
|
(8, '18:00', '18:00 BST', '8 years', '2006-10-19 10:23:54+01', '2006-10-19 10:23:54'),
|
|
(9, '19:00', '19:00 BST', '9 years', '2007-10-19 10:23:54+01', '2007-10-19 10:23:54'),
|
|
(10, '20:00', '20:00 BST', '10 years', '2008-10-19 10:23:54+01', '2008-10-19 10:23:54'),
|
|
(11, '21:00', '21:00 BST', 'infinity', 'infinity', 'infinity');
|
|
|
|
select id, f_time, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_time range between
|
|
'70 min'::interval preceding and '2 hours'::interval following);
|
|
|
|
select id, f_time, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_time desc range between
|
|
'70 min' preceding and '2 hours' following);
|
|
|
|
select id, f_time, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_time desc range between
|
|
'-70 min' preceding and '2 hours' following); -- error, negative offset disallowed
|
|
|
|
select id, f_time, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_time range between
|
|
'infinity'::interval preceding and 'infinity'::interval following);
|
|
|
|
select id, f_time, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_time range between
|
|
'infinity'::interval preceding and 'infinity'::interval preceding);
|
|
|
|
select id, f_time, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_time range between
|
|
'infinity'::interval following and 'infinity'::interval following);
|
|
|
|
select id, f_time, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_time range between
|
|
'-infinity'::interval following and
|
|
'infinity'::interval following); -- error, negative offset disallowed
|
|
|
|
select id, f_timetz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timetz range between
|
|
'70 min'::interval preceding and '2 hours'::interval following);
|
|
|
|
select id, f_timetz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timetz desc range between
|
|
'70 min' preceding and '2 hours' following);
|
|
|
|
select id, f_timetz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timetz desc range between
|
|
'70 min' preceding and '-2 hours' following); -- error, negative offset disallowed
|
|
|
|
select id, f_timetz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timetz range between
|
|
'infinity'::interval preceding and 'infinity'::interval following);
|
|
|
|
select id, f_timetz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timetz range between
|
|
'infinity'::interval preceding and 'infinity'::interval preceding);
|
|
|
|
select id, f_timetz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timetz range between
|
|
'infinity'::interval following and 'infinity'::interval following);
|
|
|
|
select id, f_timetz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timetz range between
|
|
'infinity'::interval following and
|
|
'-infinity'::interval following); -- error, negative offset disallowed
|
|
|
|
select id, f_interval, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_interval range between
|
|
'1 year'::interval preceding and '1 year'::interval following);
|
|
|
|
select id, f_interval, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_interval desc range between
|
|
'1 year' preceding and '1 year' following);
|
|
|
|
select id, f_interval, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_interval desc range between
|
|
'-1 year' preceding and '1 year' following); -- error, negative offset disallowed
|
|
|
|
select id, f_interval, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_interval range between
|
|
'infinity'::interval preceding and 'infinity'::interval following);
|
|
|
|
select id, f_interval, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_interval range between
|
|
'infinity'::interval preceding and 'infinity'::interval preceding);
|
|
|
|
select id, f_interval, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_interval range between
|
|
'infinity'::interval following and 'infinity'::interval following);
|
|
|
|
select id, f_interval, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_interval range between
|
|
'-infinity'::interval following and
|
|
'infinity'::interval following); -- error, negative offset disallowed
|
|
|
|
select id, f_timestamptz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamptz range between
|
|
'1 year'::interval preceding and '1 year'::interval following);
|
|
|
|
select id, f_timestamptz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamptz desc range between
|
|
'1 year' preceding and '1 year' following);
|
|
|
|
select id, f_timestamptz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamptz desc range between
|
|
'1 year' preceding and '-1 year' following); -- error, negative offset disallowed
|
|
|
|
select id, f_timestamptz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamptz range between
|
|
'infinity'::interval preceding and 'infinity'::interval following);
|
|
|
|
select id, f_timestamptz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamptz range between
|
|
'infinity'::interval preceding and 'infinity'::interval preceding);
|
|
|
|
select id, f_timestamptz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamptz range between
|
|
'infinity'::interval following and 'infinity'::interval following);
|
|
|
|
select id, f_timestamptz, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamptz range between
|
|
'-infinity'::interval following and
|
|
'infinity'::interval following); -- error, negative offset disallowed
|
|
|
|
select id, f_timestamp, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamp range between
|
|
'1 year'::interval preceding and '1 year'::interval following);
|
|
|
|
select id, f_timestamp, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamp desc range between
|
|
'1 year' preceding and '1 year' following);
|
|
|
|
select id, f_timestamp, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamp desc range between
|
|
'-1 year' preceding and '1 year' following); -- error, negative offset disallowed
|
|
|
|
select id, f_timestamp, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamp range between
|
|
'infinity'::interval preceding and 'infinity'::interval following);
|
|
|
|
select id, f_timestamp, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamp range between
|
|
'infinity'::interval preceding and 'infinity'::interval preceding);
|
|
|
|
select id, f_timestamp, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamp range between
|
|
'infinity'::interval following and 'infinity'::interval following);
|
|
|
|
select id, f_timestamp, first_value(id) over w, last_value(id) over w
|
|
from datetimes
|
|
window w as (order by f_timestamp range between
|
|
'-infinity'::interval following and
|
|
'infinity'::interval following); -- error, negative offset disallowed
|
|
|
|
-- RANGE offset PRECEDING/FOLLOWING error cases
|
|
select sum(salary) over (order by enroll_date, salary range between '1 year'::interval preceding and '2 years'::interval following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
select sum(salary) over (range between '1 year'::interval preceding and '2 years'::interval following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
select sum(salary) over (order by depname range between '1 year'::interval preceding and '2 years'::interval following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
select max(enroll_date) over (order by enroll_date range between 1 preceding and 2 following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
select max(enroll_date) over (order by salary range between -1 preceding and 2 following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
select max(enroll_date) over (order by salary range between 1 preceding and -2 following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
select max(enroll_date) over (order by salary range between '1 year'::interval preceding and '2 years'::interval following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
select max(enroll_date) over (order by enroll_date range between '1 year'::interval preceding and '-2 years'::interval following
|
|
exclude ties), salary, enroll_date from empsalary;
|
|
|
|
-- GROUPS tests
|
|
|
|
SELECT sum(unique1) over (order by four groups between unbounded preceding and current row),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between unbounded preceding and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between current row and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between 1 preceding and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between 1 following and unbounded following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between unbounded preceding and 2 following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between 2 preceding and 1 preceding),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between 2 preceding and 1 following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between 0 preceding and 0 following),
|
|
unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between 2 preceding and 1 following
|
|
exclude current row), unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between 2 preceding and 1 following
|
|
exclude group), unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (order by four groups between 2 preceding and 1 following
|
|
exclude ties), unique1, four
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (partition by ten
|
|
order by four groups between 0 preceding and 0 following),unique1, four, ten
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (partition by ten
|
|
order by four groups between 0 preceding and 0 following exclude current row), unique1, four, ten
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (partition by ten
|
|
order by four groups between 0 preceding and 0 following exclude group), unique1, four, ten
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
SELECT sum(unique1) over (partition by ten
|
|
order by four groups between 0 preceding and 0 following exclude ties), unique1, four, ten
|
|
FROM tenk1 WHERE unique1 < 10;
|
|
|
|
select first_value(salary) over(order by enroll_date groups between 1 preceding and 1 following),
|
|
lead(salary) over(order by enroll_date groups between 1 preceding and 1 following),
|
|
nth_value(salary, 1) over(order by enroll_date groups between 1 preceding and 1 following),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select last_value(salary) over(order by enroll_date groups between 1 preceding and 1 following),
|
|
lag(salary) over(order by enroll_date groups between 1 preceding and 1 following),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select first_value(salary) over(order by enroll_date groups between 1 following and 3 following
|
|
exclude current row),
|
|
lead(salary) over(order by enroll_date groups between 1 following and 3 following exclude ties),
|
|
nth_value(salary, 1) over(order by enroll_date groups between 1 following and 3 following
|
|
exclude ties),
|
|
salary, enroll_date from empsalary;
|
|
|
|
select last_value(salary) over(order by enroll_date groups between 1 following and 3 following
|
|
exclude group),
|
|
lag(salary) over(order by enroll_date groups between 1 following and 3 following exclude group),
|
|
salary, enroll_date from empsalary;
|
|
|
|
-- Show differences in offset interpretation between ROWS, RANGE, and GROUPS
|
|
WITH cte (x) AS (
|
|
SELECT * FROM generate_series(1, 35, 2)
|
|
)
|
|
SELECT x, (sum(x) over w)
|
|
FROM cte
|
|
WINDOW w AS (ORDER BY x rows between 1 preceding and 1 following);
|
|
|
|
WITH cte (x) AS (
|
|
SELECT * FROM generate_series(1, 35, 2)
|
|
)
|
|
SELECT x, (sum(x) over w)
|
|
FROM cte
|
|
WINDOW w AS (ORDER BY x range between 1 preceding and 1 following);
|
|
|
|
WITH cte (x) AS (
|
|
SELECT * FROM generate_series(1, 35, 2)
|
|
)
|
|
SELECT x, (sum(x) over w)
|
|
FROM cte
|
|
WINDOW w AS (ORDER BY x groups between 1 preceding and 1 following);
|
|
|
|
WITH cte (x) AS (
|
|
select 1 union all select 1 union all select 1 union all
|
|
SELECT * FROM generate_series(5, 49, 2)
|
|
)
|
|
SELECT x, (sum(x) over w)
|
|
FROM cte
|
|
WINDOW w AS (ORDER BY x rows between 1 preceding and 1 following);
|
|
|
|
WITH cte (x) AS (
|
|
select 1 union all select 1 union all select 1 union all
|
|
SELECT * FROM generate_series(5, 49, 2)
|
|
)
|
|
SELECT x, (sum(x) over w)
|
|
FROM cte
|
|
WINDOW w AS (ORDER BY x range between 1 preceding and 1 following);
|
|
|
|
WITH cte (x) AS (
|
|
select 1 union all select 1 union all select 1 union all
|
|
SELECT * FROM generate_series(5, 49, 2)
|
|
)
|
|
SELECT x, (sum(x) over w)
|
|
FROM cte
|
|
WINDOW w AS (ORDER BY x groups between 1 preceding and 1 following);
|
|
|
|
-- with UNION
|
|
SELECT count(*) OVER (PARTITION BY four) FROM (SELECT * FROM tenk1 UNION ALL SELECT * FROM tenk2)s LIMIT 0;
|
|
|
|
-- check some degenerate cases
|
|
create temp table t1 (f1 int, f2 int8);
|
|
insert into t1 values (1,1),(1,2),(2,2);
|
|
|
|
select f1, sum(f1) over (partition by f1
|
|
range between 1 preceding and 1 following)
|
|
from t1 where f1 = f2; -- error, must have order by
|
|
explain (costs off)
|
|
select f1, sum(f1) over (partition by f1 order by f2
|
|
range between 1 preceding and 1 following)
|
|
from t1 where f1 = f2;
|
|
select f1, sum(f1) over (partition by f1 order by f2
|
|
range between 1 preceding and 1 following)
|
|
from t1 where f1 = f2;
|
|
select f1, sum(f1) over (partition by f1, f1 order by f2
|
|
range between 2 preceding and 1 preceding)
|
|
from t1 where f1 = f2;
|
|
select f1, sum(f1) over (partition by f1, f2 order by f2
|
|
range between 1 following and 2 following)
|
|
from t1 where f1 = f2;
|
|
|
|
select f1, sum(f1) over (partition by f1
|
|
groups between 1 preceding and 1 following)
|
|
from t1 where f1 = f2; -- error, must have order by
|
|
explain (costs off)
|
|
select f1, sum(f1) over (partition by f1 order by f2
|
|
groups between 1 preceding and 1 following)
|
|
from t1 where f1 = f2;
|
|
select f1, sum(f1) over (partition by f1 order by f2
|
|
groups between 1 preceding and 1 following)
|
|
from t1 where f1 = f2;
|
|
select f1, sum(f1) over (partition by f1, f1 order by f2
|
|
groups between 2 preceding and 1 preceding)
|
|
from t1 where f1 = f2;
|
|
select f1, sum(f1) over (partition by f1, f2 order by f2
|
|
groups between 1 following and 2 following)
|
|
from t1 where f1 = f2;
|
|
|
|
-- ordering by a non-integer constant is allowed
|
|
SELECT rank() OVER (ORDER BY length('abc'));
|
|
|
|
-- can't order by another window function
|
|
SELECT rank() OVER (ORDER BY rank() OVER (ORDER BY random()));
|
|
|
|
-- some other errors
|
|
SELECT * FROM empsalary WHERE row_number() OVER (ORDER BY salary) < 10;
|
|
|
|
SELECT * FROM empsalary INNER JOIN tenk1 ON row_number() OVER (ORDER BY salary) < 10;
|
|
|
|
SELECT rank() OVER (ORDER BY 1), count(*) FROM empsalary GROUP BY 1;
|
|
|
|
SELECT * FROM rank() OVER (ORDER BY random());
|
|
|
|
DELETE FROM empsalary WHERE (rank() OVER (ORDER BY random())) > 10;
|
|
|
|
DELETE FROM empsalary RETURNING rank() OVER (ORDER BY random());
|
|
|
|
SELECT count(*) OVER w FROM tenk1 WINDOW w AS (ORDER BY unique1), w AS (ORDER BY unique1);
|
|
|
|
SELECT rank() OVER (PARTITION BY four, ORDER BY ten) FROM tenk1;
|
|
|
|
SELECT count() OVER () FROM tenk1;
|
|
|
|
SELECT generate_series(1, 100) OVER () FROM empsalary;
|
|
|
|
SELECT ntile(0) OVER (ORDER BY ten), ten, four FROM tenk1;
|
|
|
|
SELECT nth_value(four, 0) OVER (ORDER BY ten), ten, four FROM tenk1;
|
|
|
|
-- filter
|
|
|
|
SELECT sum(salary), row_number() OVER (ORDER BY depname), sum(
|
|
sum(salary) FILTER (WHERE enroll_date > '2007-01-01')
|
|
) FILTER (WHERE depname <> 'sales') OVER (ORDER BY depname DESC) AS "filtered_sum",
|
|
depname
|
|
FROM empsalary GROUP BY depname;
|
|
|
|
--
|
|
-- Test SupportRequestOptimizeWindowClause's ability to de-duplicate
|
|
-- WindowClauses
|
|
--
|
|
|
|
-- Ensure WindowClause frameOptions are changed so that only a single
|
|
-- WindowAgg exists in the plan.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT
|
|
empno,
|
|
depname,
|
|
row_number() OVER (PARTITION BY depname ORDER BY enroll_date) rn,
|
|
rank() OVER (PARTITION BY depname ORDER BY enroll_date ROWS BETWEEN
|
|
UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) rnk,
|
|
dense_rank() OVER (PARTITION BY depname ORDER BY enroll_date RANGE BETWEEN
|
|
CURRENT ROW AND CURRENT ROW) drnk,
|
|
ntile(10) OVER (PARTITION BY depname ORDER BY enroll_date RANGE BETWEEN
|
|
CURRENT ROW AND UNBOUNDED FOLLOWING) nt,
|
|
percent_rank() OVER (PARTITION BY depname ORDER BY enroll_date ROWS BETWEEN
|
|
CURRENT ROW AND UNBOUNDED FOLLOWING) pr,
|
|
cume_dist() OVER (PARTITION BY depname ORDER BY enroll_date RANGE BETWEEN
|
|
CURRENT ROW AND UNBOUNDED FOLLOWING) cd
|
|
FROM empsalary;
|
|
|
|
-- Ensure WindowFuncs which cannot support their WindowClause's frameOptions
|
|
-- being changed are untouched
|
|
EXPLAIN (COSTS OFF, VERBOSE)
|
|
SELECT
|
|
empno,
|
|
depname,
|
|
row_number() OVER (PARTITION BY depname ORDER BY enroll_date) rn,
|
|
rank() OVER (PARTITION BY depname ORDER BY enroll_date ROWS BETWEEN
|
|
UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) rnk,
|
|
count(*) OVER (PARTITION BY depname ORDER BY enroll_date RANGE BETWEEN
|
|
CURRENT ROW AND CURRENT ROW) cnt
|
|
FROM empsalary;
|
|
|
|
-- Ensure the above query gives us the expected results
|
|
SELECT
|
|
empno,
|
|
depname,
|
|
row_number() OVER (PARTITION BY depname ORDER BY enroll_date) rn,
|
|
rank() OVER (PARTITION BY depname ORDER BY enroll_date ROWS BETWEEN
|
|
UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) rnk,
|
|
count(*) OVER (PARTITION BY depname ORDER BY enroll_date RANGE BETWEEN
|
|
CURRENT ROW AND CURRENT ROW) cnt
|
|
FROM empsalary;
|
|
|
|
-- Test pushdown of quals into a subquery containing window functions
|
|
|
|
-- pushdown is safe because all PARTITION BY clauses include depname:
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT depname,
|
|
sum(salary) OVER (PARTITION BY depname) depsalary,
|
|
min(salary) OVER (PARTITION BY depname || 'A', depname) depminsalary
|
|
FROM empsalary) emp
|
|
WHERE depname = 'sales';
|
|
|
|
-- pushdown is unsafe because there's a PARTITION BY clause without depname:
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT depname,
|
|
sum(salary) OVER (PARTITION BY enroll_date) enroll_salary,
|
|
min(salary) OVER (PARTITION BY depname) depminsalary
|
|
FROM empsalary) emp
|
|
WHERE depname = 'sales';
|
|
|
|
-- Test window function run conditions are properly pushed down into the
|
|
-- WindowAgg
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
row_number() OVER (ORDER BY empno) rn
|
|
FROM empsalary) emp
|
|
WHERE rn < 3;
|
|
|
|
-- The following 3 statements should result the same result.
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
row_number() OVER (ORDER BY empno) rn
|
|
FROM empsalary) emp
|
|
WHERE rn < 3;
|
|
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
row_number() OVER (ORDER BY empno) rn
|
|
FROM empsalary) emp
|
|
WHERE 3 > rn;
|
|
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
row_number() OVER (ORDER BY empno) rn
|
|
FROM empsalary) emp
|
|
WHERE 2 >= rn;
|
|
|
|
-- Ensure r <= 3 is pushed down into the run condition of the window agg
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
rank() OVER (ORDER BY salary DESC) r
|
|
FROM empsalary) emp
|
|
WHERE r <= 3;
|
|
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
rank() OVER (ORDER BY salary DESC) r
|
|
FROM empsalary) emp
|
|
WHERE r <= 3;
|
|
|
|
-- Ensure dr = 1 is converted to dr <= 1 to get all rows leading up to dr = 1
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
dense_rank() OVER (ORDER BY salary DESC) dr
|
|
FROM empsalary) emp
|
|
WHERE dr = 1;
|
|
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
dense_rank() OVER (ORDER BY salary DESC) dr
|
|
FROM empsalary) emp
|
|
WHERE dr = 1;
|
|
|
|
-- Check COUNT() and COUNT(*)
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(*) OVER (ORDER BY salary DESC) c
|
|
FROM empsalary) emp
|
|
WHERE c <= 3;
|
|
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(*) OVER (ORDER BY salary DESC) c
|
|
FROM empsalary) emp
|
|
WHERE c <= 3;
|
|
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(empno) OVER (ORDER BY salary DESC) c
|
|
FROM empsalary) emp
|
|
WHERE c <= 3;
|
|
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(empno) OVER (ORDER BY salary DESC) c
|
|
FROM empsalary) emp
|
|
WHERE c <= 3;
|
|
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(*) OVER (ORDER BY salary DESC ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) c
|
|
FROM empsalary) emp
|
|
WHERE c >= 3;
|
|
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(*) OVER () c
|
|
FROM empsalary) emp
|
|
WHERE 11 <= c;
|
|
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(*) OVER (ORDER BY salary DESC) c,
|
|
dense_rank() OVER (ORDER BY salary DESC) dr
|
|
FROM empsalary) emp
|
|
WHERE dr = 1;
|
|
|
|
-- Ensure we get a run condition when there's a PARTITION BY clause
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
depname,
|
|
row_number() OVER (PARTITION BY depname ORDER BY empno) rn
|
|
FROM empsalary) emp
|
|
WHERE rn < 3;
|
|
|
|
-- and ensure we get the correct results from the above plan
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
depname,
|
|
row_number() OVER (PARTITION BY depname ORDER BY empno) rn
|
|
FROM empsalary) emp
|
|
WHERE rn < 3;
|
|
|
|
-- ensure that "unused" subquery columns are not removed when the column only
|
|
-- exists in the run condition
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT empno, depname FROM
|
|
(SELECT empno,
|
|
depname,
|
|
row_number() OVER (PARTITION BY depname ORDER BY empno) rn
|
|
FROM empsalary) emp
|
|
WHERE rn < 3;
|
|
|
|
-- likewise with count(empno) instead of row_number()
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
depname,
|
|
salary,
|
|
count(empno) OVER (PARTITION BY depname ORDER BY salary DESC) c
|
|
FROM empsalary) emp
|
|
WHERE c <= 3;
|
|
|
|
-- and again, check the results are what we expect.
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
depname,
|
|
salary,
|
|
count(empno) OVER (PARTITION BY depname ORDER BY salary DESC) c
|
|
FROM empsalary) emp
|
|
WHERE c <= 3;
|
|
|
|
-- Ensure we get the correct run condition when the window function is both
|
|
-- monotonically increasing and decreasing.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
depname,
|
|
salary,
|
|
count(empno) OVER () c
|
|
FROM empsalary) emp
|
|
WHERE c = 1;
|
|
|
|
-- Some more complex cases with multiple window clauses
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT *,
|
|
count(salary) OVER (PARTITION BY depname || '') c1, -- w1
|
|
row_number() OVER (PARTITION BY depname) rn, -- w2
|
|
count(*) OVER (PARTITION BY depname) c2, -- w2
|
|
count(*) OVER (PARTITION BY '' || depname) c3, -- w3
|
|
ntile(2) OVER (PARTITION BY depname) nt -- w2
|
|
FROM empsalary
|
|
) e WHERE rn <= 1 AND c1 <= 3 AND nt < 2;
|
|
|
|
-- Ensure we correctly filter out all of the run conditions from each window
|
|
SELECT * FROM
|
|
(SELECT *,
|
|
count(salary) OVER (PARTITION BY depname || '') c1, -- w1
|
|
row_number() OVER (PARTITION BY depname) rn, -- w2
|
|
count(*) OVER (PARTITION BY depname) c2, -- w2
|
|
count(*) OVER (PARTITION BY '' || depname) c3, -- w3
|
|
ntile(2) OVER (PARTITION BY depname) nt -- w2
|
|
FROM empsalary
|
|
) e WHERE rn <= 1 AND c1 <= 3 AND nt < 2;
|
|
|
|
-- Ensure we remove references to reduced outer joins as nulling rels in run
|
|
-- conditions
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT 1 FROM
|
|
(SELECT ntile(e2.salary) OVER (PARTITION BY e1.depname) AS c
|
|
FROM empsalary e1 LEFT JOIN empsalary e2 ON TRUE
|
|
WHERE e1.empno = e2.empno) s
|
|
WHERE s.c = 1;
|
|
|
|
-- Ensure the run condition optimization is used in cases where the WindowFunc
|
|
-- has a Var from another query level
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT 1 FROM
|
|
(SELECT ntile(s1.x) OVER () AS c
|
|
FROM (SELECT (SELECT 1) AS x) AS s1) s
|
|
WHERE s.c = 1;
|
|
|
|
-- Tests to ensure we don't push down the run condition when it's not valid to
|
|
-- do so.
|
|
|
|
-- Ensure we don't push down when the frame options show that the window
|
|
-- function is not monotonically increasing
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(*) OVER (ORDER BY salary DESC ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) c
|
|
FROM empsalary) emp
|
|
WHERE c <= 3;
|
|
|
|
-- Ensure we don't push down when the window function's monotonic properties
|
|
-- don't match that of the clauses.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(*) OVER (ORDER BY salary) c
|
|
FROM empsalary) emp
|
|
WHERE 3 <= c;
|
|
|
|
-- Ensure we don't use a run condition when there's a volatile function in the
|
|
-- WindowFunc
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count(random()) OVER (ORDER BY empno DESC) c
|
|
FROM empsalary) emp
|
|
WHERE c = 1;
|
|
|
|
-- Ensure we don't use a run condition when the WindowFunc contains subplans
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT empno,
|
|
salary,
|
|
count((SELECT 1)) OVER (ORDER BY empno DESC) c
|
|
FROM empsalary) emp
|
|
WHERE c = 1;
|
|
|
|
-- Test Sort node collapsing
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT depname,
|
|
sum(salary) OVER (PARTITION BY depname order by empno) depsalary,
|
|
min(salary) OVER (PARTITION BY depname, empno order by enroll_date) depminsalary
|
|
FROM empsalary) emp
|
|
WHERE depname = 'sales';
|
|
|
|
-- Ensure that the evaluation order of the WindowAggs results in the WindowAgg
|
|
-- with the same sort order that's required by the ORDER BY is evaluated last.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT empno,
|
|
enroll_date,
|
|
depname,
|
|
sum(salary) OVER (PARTITION BY depname order by empno) depsalary,
|
|
min(salary) OVER (PARTITION BY depname order by enroll_date) depminsalary
|
|
FROM empsalary
|
|
ORDER BY depname, empno;
|
|
|
|
-- As above, but with an adjusted ORDER BY to ensure the above plan didn't
|
|
-- perform only 2 sorts by accident.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT empno,
|
|
enroll_date,
|
|
depname,
|
|
sum(salary) OVER (PARTITION BY depname order by empno) depsalary,
|
|
min(salary) OVER (PARTITION BY depname order by enroll_date) depminsalary
|
|
FROM empsalary
|
|
ORDER BY depname, enroll_date;
|
|
|
|
SET enable_hashagg TO off;
|
|
|
|
-- Ensure we don't get a sort for both DISTINCT and ORDER BY. We expect the
|
|
-- sort for the DISTINCT to provide presorted input for the ORDER BY.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT DISTINCT
|
|
empno,
|
|
enroll_date,
|
|
depname,
|
|
sum(salary) OVER (PARTITION BY depname order by empno) depsalary,
|
|
min(salary) OVER (PARTITION BY depname order by enroll_date) depminsalary
|
|
FROM empsalary
|
|
ORDER BY depname, enroll_date;
|
|
|
|
-- As above but adjust the ORDER BY clause to help ensure the plan with the
|
|
-- minimum amount of sorting wasn't a fluke.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT DISTINCT
|
|
empno,
|
|
enroll_date,
|
|
depname,
|
|
sum(salary) OVER (PARTITION BY depname order by empno) depsalary,
|
|
min(salary) OVER (PARTITION BY depname order by enroll_date) depminsalary
|
|
FROM empsalary
|
|
ORDER BY depname, empno;
|
|
|
|
RESET enable_hashagg;
|
|
|
|
-- Test Sort node reordering
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT
|
|
lead(1) OVER (PARTITION BY depname ORDER BY salary, enroll_date),
|
|
lag(1) OVER (PARTITION BY depname ORDER BY salary,enroll_date,empno)
|
|
FROM empsalary;
|
|
|
|
-- Test incremental sorting
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT * FROM
|
|
(SELECT depname,
|
|
empno,
|
|
salary,
|
|
enroll_date,
|
|
row_number() OVER (PARTITION BY depname ORDER BY enroll_date) AS first_emp,
|
|
row_number() OVER (PARTITION BY depname ORDER BY enroll_date DESC) AS last_emp
|
|
FROM empsalary) emp
|
|
WHERE first_emp = 1 OR last_emp = 1;
|
|
|
|
SELECT * FROM
|
|
(SELECT depname,
|
|
empno,
|
|
salary,
|
|
enroll_date,
|
|
row_number() OVER (PARTITION BY depname ORDER BY enroll_date) AS first_emp,
|
|
row_number() OVER (PARTITION BY depname ORDER BY enroll_date DESC) AS last_emp
|
|
FROM empsalary) emp
|
|
WHERE first_emp = 1 OR last_emp = 1;
|
|
|
|
-- cleanup
|
|
DROP TABLE empsalary;
|
|
|
|
-- test user-defined window function with named args and default args
|
|
CREATE FUNCTION nth_value_def(val anyelement, n integer = 1) RETURNS anyelement
|
|
LANGUAGE internal WINDOW IMMUTABLE STRICT AS 'window_nth_value';
|
|
|
|
SELECT nth_value_def(n := 2, val := ten) OVER (PARTITION BY four), ten, four
|
|
FROM (SELECT * FROM tenk1 WHERE unique2 < 10 ORDER BY four, ten) s;
|
|
|
|
SELECT nth_value_def(ten) OVER (PARTITION BY four), ten, four
|
|
FROM (SELECT * FROM tenk1 WHERE unique2 < 10 ORDER BY four, ten) s;
|
|
|
|
--
|
|
-- Test the basic moving-aggregate machinery
|
|
--
|
|
|
|
-- create aggregates that record the series of transform calls (these are
|
|
-- intentionally not true inverses)
|
|
|
|
CREATE FUNCTION logging_sfunc_nonstrict(text, anyelement) RETURNS text AS
|
|
$$ SELECT COALESCE($1, '') || '*' || quote_nullable($2) $$
|
|
LANGUAGE SQL IMMUTABLE;
|
|
|
|
CREATE FUNCTION logging_msfunc_nonstrict(text, anyelement) RETURNS text AS
|
|
$$ SELECT COALESCE($1, '') || '+' || quote_nullable($2) $$
|
|
LANGUAGE SQL IMMUTABLE;
|
|
|
|
CREATE FUNCTION logging_minvfunc_nonstrict(text, anyelement) RETURNS text AS
|
|
$$ SELECT $1 || '-' || quote_nullable($2) $$
|
|
LANGUAGE SQL IMMUTABLE;
|
|
|
|
CREATE AGGREGATE logging_agg_nonstrict (anyelement)
|
|
(
|
|
stype = text,
|
|
sfunc = logging_sfunc_nonstrict,
|
|
mstype = text,
|
|
msfunc = logging_msfunc_nonstrict,
|
|
minvfunc = logging_minvfunc_nonstrict
|
|
);
|
|
|
|
CREATE AGGREGATE logging_agg_nonstrict_initcond (anyelement)
|
|
(
|
|
stype = text,
|
|
sfunc = logging_sfunc_nonstrict,
|
|
mstype = text,
|
|
msfunc = logging_msfunc_nonstrict,
|
|
minvfunc = logging_minvfunc_nonstrict,
|
|
initcond = 'I',
|
|
minitcond = 'MI'
|
|
);
|
|
|
|
CREATE FUNCTION logging_sfunc_strict(text, anyelement) RETURNS text AS
|
|
$$ SELECT $1 || '*' || quote_nullable($2) $$
|
|
LANGUAGE SQL STRICT IMMUTABLE;
|
|
|
|
CREATE FUNCTION logging_msfunc_strict(text, anyelement) RETURNS text AS
|
|
$$ SELECT $1 || '+' || quote_nullable($2) $$
|
|
LANGUAGE SQL STRICT IMMUTABLE;
|
|
|
|
CREATE FUNCTION logging_minvfunc_strict(text, anyelement) RETURNS text AS
|
|
$$ SELECT $1 || '-' || quote_nullable($2) $$
|
|
LANGUAGE SQL STRICT IMMUTABLE;
|
|
|
|
CREATE AGGREGATE logging_agg_strict (text)
|
|
(
|
|
stype = text,
|
|
sfunc = logging_sfunc_strict,
|
|
mstype = text,
|
|
msfunc = logging_msfunc_strict,
|
|
minvfunc = logging_minvfunc_strict
|
|
);
|
|
|
|
CREATE AGGREGATE logging_agg_strict_initcond (anyelement)
|
|
(
|
|
stype = text,
|
|
sfunc = logging_sfunc_strict,
|
|
mstype = text,
|
|
msfunc = logging_msfunc_strict,
|
|
minvfunc = logging_minvfunc_strict,
|
|
initcond = 'I',
|
|
minitcond = 'MI'
|
|
);
|
|
|
|
-- test strict and non-strict cases
|
|
SELECT
|
|
p::text || ',' || i::text || ':' || COALESCE(v::text, 'NULL') AS row,
|
|
logging_agg_nonstrict(v) over wnd as nstrict,
|
|
logging_agg_nonstrict_initcond(v) over wnd as nstrict_init,
|
|
logging_agg_strict(v::text) over wnd as strict,
|
|
logging_agg_strict_initcond(v) over wnd as strict_init
|
|
FROM (VALUES
|
|
(1, 1, NULL),
|
|
(1, 2, 'a'),
|
|
(1, 3, 'b'),
|
|
(1, 4, NULL),
|
|
(1, 5, NULL),
|
|
(1, 6, 'c'),
|
|
(2, 1, NULL),
|
|
(2, 2, 'x'),
|
|
(3, 1, 'z')
|
|
) AS t(p, i, v)
|
|
WINDOW wnd AS (PARTITION BY P ORDER BY i ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
|
|
ORDER BY p, i;
|
|
|
|
-- and again, but with filter
|
|
SELECT
|
|
p::text || ',' || i::text || ':' ||
|
|
CASE WHEN f THEN COALESCE(v::text, 'NULL') ELSE '-' END as row,
|
|
logging_agg_nonstrict(v) filter(where f) over wnd as nstrict_filt,
|
|
logging_agg_nonstrict_initcond(v) filter(where f) over wnd as nstrict_init_filt,
|
|
logging_agg_strict(v::text) filter(where f) over wnd as strict_filt,
|
|
logging_agg_strict_initcond(v) filter(where f) over wnd as strict_init_filt
|
|
FROM (VALUES
|
|
(1, 1, true, NULL),
|
|
(1, 2, false, 'a'),
|
|
(1, 3, true, 'b'),
|
|
(1, 4, false, NULL),
|
|
(1, 5, false, NULL),
|
|
(1, 6, false, 'c'),
|
|
(2, 1, false, NULL),
|
|
(2, 2, true, 'x'),
|
|
(3, 1, true, 'z')
|
|
) AS t(p, i, f, v)
|
|
WINDOW wnd AS (PARTITION BY p ORDER BY i ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
|
|
ORDER BY p, i;
|
|
|
|
-- test that volatile arguments disable moving-aggregate mode
|
|
SELECT
|
|
i::text || ':' || COALESCE(v::text, 'NULL') as row,
|
|
logging_agg_strict(v::text)
|
|
over wnd as inverse,
|
|
logging_agg_strict(v::text || CASE WHEN random() < 0 then '?' ELSE '' END)
|
|
over wnd as noinverse
|
|
FROM (VALUES
|
|
(1, 'a'),
|
|
(2, 'b'),
|
|
(3, 'c')
|
|
) AS t(i, v)
|
|
WINDOW wnd AS (ORDER BY i ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
|
|
ORDER BY i;
|
|
|
|
SELECT
|
|
i::text || ':' || COALESCE(v::text, 'NULL') as row,
|
|
logging_agg_strict(v::text) filter(where true)
|
|
over wnd as inverse,
|
|
logging_agg_strict(v::text) filter(where random() >= 0)
|
|
over wnd as noinverse
|
|
FROM (VALUES
|
|
(1, 'a'),
|
|
(2, 'b'),
|
|
(3, 'c')
|
|
) AS t(i, v)
|
|
WINDOW wnd AS (ORDER BY i ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
|
|
ORDER BY i;
|
|
|
|
-- test that non-overlapping windows don't use inverse transitions
|
|
SELECT
|
|
logging_agg_strict(v::text) OVER wnd
|
|
FROM (VALUES
|
|
(1, 'a'),
|
|
(2, 'b'),
|
|
(3, 'c')
|
|
) AS t(i, v)
|
|
WINDOW wnd AS (ORDER BY i ROWS BETWEEN CURRENT ROW AND CURRENT ROW)
|
|
ORDER BY i;
|
|
|
|
-- test that returning NULL from the inverse transition functions
|
|
-- restarts the aggregation from scratch. The second aggregate is supposed
|
|
-- to test cases where only some aggregates restart, the third one checks
|
|
-- that one aggregate restarting doesn't cause others to restart.
|
|
|
|
CREATE FUNCTION sum_int_randrestart_minvfunc(int4, int4) RETURNS int4 AS
|
|
$$ SELECT CASE WHEN random() < 0.2 THEN NULL ELSE $1 - $2 END $$
|
|
LANGUAGE SQL STRICT;
|
|
|
|
CREATE AGGREGATE sum_int_randomrestart (int4)
|
|
(
|
|
stype = int4,
|
|
sfunc = int4pl,
|
|
mstype = int4,
|
|
msfunc = int4pl,
|
|
minvfunc = sum_int_randrestart_minvfunc
|
|
);
|
|
|
|
WITH
|
|
vs AS (
|
|
SELECT i, (random() * 100)::int4 AS v
|
|
FROM generate_series(1, 100) AS i
|
|
),
|
|
sum_following AS (
|
|
SELECT i, SUM(v) OVER
|
|
(ORDER BY i DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS s
|
|
FROM vs
|
|
)
|
|
SELECT DISTINCT
|
|
sum_following.s = sum_int_randomrestart(v) OVER fwd AS eq1,
|
|
-sum_following.s = sum_int_randomrestart(-v) OVER fwd AS eq2,
|
|
100*3+(vs.i-1)*3 = length(logging_agg_nonstrict(''::text) OVER fwd) AS eq3
|
|
FROM vs
|
|
JOIN sum_following ON sum_following.i = vs.i
|
|
WINDOW fwd AS (
|
|
ORDER BY vs.i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING
|
|
);
|
|
|
|
--
|
|
-- Test various built-in aggregates that have moving-aggregate support
|
|
--
|
|
|
|
-- test inverse transition functions handle NULLs properly
|
|
SELECT i,AVG(v::bigint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,AVG(v::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,AVG(v::smallint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,AVG(v::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1.5),(2,2.5),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,AVG(v::interval) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,'1 sec'),(2,'2 sec'),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
-- moving aggregates over infinite intervals
|
|
SELECT x
|
|
,avg(x) OVER(ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING ) as curr_next_avg
|
|
,avg(x) OVER(ROWS BETWEEN 1 PRECEDING AND CURRENT ROW ) as prev_curr_avg
|
|
,sum(x) OVER(ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING ) as curr_next_sum
|
|
,sum(x) OVER(ROWS BETWEEN 1 PRECEDING AND CURRENT ROW ) as prev_curr_sum
|
|
FROM (VALUES (NULL::interval),
|
|
('infinity'::interval),
|
|
('-2147483648 days -2147483648 months -9223372036854775807 usecs'), -- extreme interval value
|
|
('-infinity'::interval),
|
|
('2147483647 days 2147483647 months 9223372036854775806 usecs'), -- extreme interval value
|
|
('infinity'::interval),
|
|
('6 days'::interval),
|
|
('7 days'::interval),
|
|
(NULL::interval),
|
|
('-infinity'::interval)) v(x);
|
|
|
|
--should fail.
|
|
SELECT x, avg(x) OVER(ROWS BETWEEN CURRENT ROW AND 2 FOLLOWING)
|
|
FROM (VALUES (NULL::interval),
|
|
('3 days'::interval),
|
|
('infinity'::timestamptz - now()),
|
|
('6 days'::interval),
|
|
('-infinity'::interval)) v(x);
|
|
|
|
--should fail.
|
|
SELECT x, sum(x) OVER(ROWS BETWEEN CURRENT ROW AND 2 FOLLOWING)
|
|
FROM (VALUES (NULL::interval),
|
|
('3 days'::interval),
|
|
('infinity'::timestamptz - now()),
|
|
('6 days'::interval),
|
|
('-infinity'::interval)) v(x);
|
|
|
|
SELECT i,SUM(v::smallint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,SUM(v::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,SUM(v::bigint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,SUM(v::money) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,'1.10'),(2,'2.20'),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,SUM(v::interval) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,'1 sec'),(2,'2 sec'),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,SUM(v::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1.1),(2,2.2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT SUM(n::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1.01),(2,2),(3,3)) v(i,n);
|
|
|
|
SELECT i,COUNT(v) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,COUNT(*) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT VAR_POP(n::bigint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VAR_POP(n::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VAR_POP(n::smallint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VAR_POP(n::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VAR_SAMP(n::bigint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VAR_SAMP(n::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VAR_SAMP(n::smallint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VAR_SAMP(n::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VARIANCE(n::bigint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VARIANCE(n::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VARIANCE(n::smallint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT VARIANCE(n::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT STDDEV_POP(n::bigint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,NULL),(2,600),(3,470),(4,170),(5,430),(6,300)) r(i,n);
|
|
|
|
SELECT STDDEV_POP(n::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,NULL),(2,600),(3,470),(4,170),(5,430),(6,300)) r(i,n);
|
|
|
|
SELECT STDDEV_POP(n::smallint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,NULL),(2,600),(3,470),(4,170),(5,430),(6,300)) r(i,n);
|
|
|
|
SELECT STDDEV_POP(n::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,NULL),(2,600),(3,470),(4,170),(5,430),(6,300)) r(i,n);
|
|
|
|
SELECT STDDEV_SAMP(n::bigint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,NULL),(2,600),(3,470),(4,170),(5,430),(6,300)) r(i,n);
|
|
|
|
SELECT STDDEV_SAMP(n::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,NULL),(2,600),(3,470),(4,170),(5,430),(6,300)) r(i,n);
|
|
|
|
SELECT STDDEV_SAMP(n::smallint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,NULL),(2,600),(3,470),(4,170),(5,430),(6,300)) r(i,n);
|
|
|
|
SELECT STDDEV_SAMP(n::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(1,NULL),(2,600),(3,470),(4,170),(5,430),(6,300)) r(i,n);
|
|
|
|
SELECT STDDEV(n::bigint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(0,NULL),(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT STDDEV(n::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(0,NULL),(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT STDDEV(n::smallint) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(0,NULL),(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
SELECT STDDEV(n::numeric) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
|
|
FROM (VALUES(0,NULL),(1,600),(2,470),(3,170),(4,430),(5,300)) r(i,n);
|
|
|
|
-- test that inverse transition functions work with various frame options
|
|
SELECT i,SUM(v::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND CURRENT ROW)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,SUM(v::int) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v);
|
|
|
|
SELECT i,SUM(v::int) OVER (ORDER BY i ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)
|
|
FROM (VALUES(1,1),(2,2),(3,3),(4,4)) t(i,v);
|
|
|
|
-- ensure aggregate over numeric properly recovers from NaN values
|
|
SELECT a, b,
|
|
SUM(b) OVER(ORDER BY A ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
|
|
FROM (VALUES(1,1::numeric),(2,2),(3,'NaN'),(4,3),(5,4)) t(a,b);
|
|
|
|
-- It might be tempting for someone to add an inverse trans function for
|
|
-- float and double precision. This should not be done as it can give incorrect
|
|
-- results. This test should fail if anyone ever does this without thinking too
|
|
-- hard about it.
|
|
SELECT to_char(SUM(n::float8) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING),'999999999999999999999D9')
|
|
FROM (VALUES(1,1e20),(2,1)) n(i,n);
|
|
|
|
SELECT i, b, bool_and(b) OVER w, bool_or(b) OVER w
|
|
FROM (VALUES (1,true), (2,true), (3,false), (4,false), (5,true)) v(i,b)
|
|
WINDOW w AS (ORDER BY i ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING);
|
|
|
|
--
|
|
-- Test WindowAgg costing takes into account the number of rows that need to
|
|
-- be fetched before the first row can be output.
|
|
--
|
|
|
|
-- Ensure we get a cheap start up plan as the WindowAgg can output the first
|
|
-- row after reading 1 row from the join.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT COUNT(*) OVER (ORDER BY t1.unique1)
|
|
FROM tenk1 t1 INNER JOIN tenk1 t2 ON t1.unique1 = t2.tenthous
|
|
LIMIT 1;
|
|
|
|
-- Ensure we get a cheap total plan. Lack of ORDER BY in the WindowClause
|
|
-- means that all rows must be read from the join, so a cheap startup plan
|
|
-- isn't a good choice.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT COUNT(*) OVER ()
|
|
FROM tenk1 t1 INNER JOIN tenk1 t2 ON t1.unique1 = t2.tenthous
|
|
WHERE t2.two = 1
|
|
LIMIT 1;
|
|
|
|
-- Ensure we get a cheap total plan. This time use UNBOUNDED FOLLOWING, which
|
|
-- needs to read all join rows to output the first WindowAgg row.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT COUNT(*) OVER (ORDER BY t1.unique1 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)
|
|
FROM tenk1 t1 INNER JOIN tenk1 t2 ON t1.unique1 = t2.tenthous
|
|
LIMIT 1;
|
|
|
|
-- Ensure we get a cheap total plan. This time use 10000 FOLLOWING so we need
|
|
-- to read all join rows.
|
|
EXPLAIN (COSTS OFF)
|
|
SELECT COUNT(*) OVER (ORDER BY t1.unique1 ROWS BETWEEN UNBOUNDED PRECEDING AND 10000 FOLLOWING)
|
|
FROM tenk1 t1 INNER JOIN tenk1 t2 ON t1.unique1 = t2.tenthous
|
|
LIMIT 1;
|
|
|
|
-- Tests for problems with failure to walk or mutate expressions
|
|
-- within window frame clauses.
|
|
|
|
-- test walker (fails with collation error if expressions are not walked)
|
|
SELECT array_agg(i) OVER w
|
|
FROM generate_series(1,5) i
|
|
WINDOW w AS (ORDER BY i ROWS BETWEEN (('foo' < 'foobar')::integer) PRECEDING AND CURRENT ROW);
|
|
|
|
-- test mutator (fails when inlined if expressions are not mutated)
|
|
CREATE FUNCTION pg_temp.f(group_size BIGINT) RETURNS SETOF integer[]
|
|
AS $$
|
|
SELECT array_agg(s) OVER w
|
|
FROM generate_series(1,5) s
|
|
WINDOW w AS (ORDER BY s ROWS BETWEEN CURRENT ROW AND GROUP_SIZE FOLLOWING)
|
|
$$ LANGUAGE SQL STABLE;
|
|
|
|
EXPLAIN (costs off) SELECT * FROM pg_temp.f(2);
|
|
SELECT * FROM pg_temp.f(2);
|