maropu commented on a change in pull request #24881: [SPARK-23160][SQL][TEST] Port window.sql URL: https://github.com/apache/spark/pull/24881#discussion_r311333666
########## File path: sql/core/src/test/resources/sql-tests/inputs/pgSQL/window.sql ########## @@ -0,0 +1,1175 @@ +-- Portions Copyright (c) 1996-2019, PostgreSQL Global Development Group +-- +-- Window Functions Testing +-- https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/window.sql + +CREATE TEMPORARY VIEW tenk2 AS SELECT * FROM tenk1; + +CREATE TABLE empsalary ( + depname string, + empno integer, + salary int, + enroll_date date +) USING parquet; + +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); + +-- [SPARK-28064] Order by does not accept a call to rank() +-- 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; + +-- [SPARK-28065] ntile does not accept NULL as input +-- 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; + +-- [SPARK-28068] `lag` second argument must be a literal in Spark +-- 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 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 first(ten) OVER (PARTITION BY four ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10; + +-- last returns the last row of the frame, which is CURRENT ROW in ORDER BY window. +SELECT last(four) OVER (ORDER BY ten), ten, four FROM tenk1 WHERE unique2 < 10; + +SELECT last(ten) OVER (PARTITION BY four), ten, four FROM +(SELECT * FROM tenk1 WHERE unique2 < 10 ORDER BY four, ten)s +ORDER BY four, ten; + +-- [SPARK-27951] ANSI SQL: NTH_VALUE function +-- 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)) 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 +-- [SPARK-28379] Correlated scalar subqueries must be aggregated +-- 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 +-- Temporarily turns off the ANSI mode because of compatibility issues between keywords +SET spark.sql.parser.ansi.enabled=false; +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; +SET spark.sql.parser.ansi.enabled=true; + +create temporary view int4_tbl as select * from values + (0), + (123456), + (-123456), + (2147483647), + (-2147483647) + as int4_tbl(f1); + +-- 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 +-- select first(max(x)) over (), y +-- from (select unique1 as x, ten+four as y from tenk1) ss +-- group by y; + +-- test non-default frame specifications +SELECT four, ten, +sum(ten) over (partition by four order by ten), +last(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(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(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(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(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; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (rows between 2 preceding and 2 following exclude no others), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (rows between 2 preceding and 2 following exclude current row), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (rows between 2 preceding and 2 following exclude group), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (rows between 2 preceding and 2 following exclude ties), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT first(unique1) over (ORDER BY four rows between current row and 2 following exclude current row), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT first(unique1) over (ORDER BY four rows between current row and 2 following exclude group), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT first(unique1) over (ORDER BY four rows between current row and 2 following exclude ties), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT last(unique1) over (ORDER BY four rows between current row and 2 following exclude current row), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT last(unique1) over (ORDER BY four rows between current row and 2 following exclude group), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT last(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; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- 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); + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- 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); + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- 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); + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- 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); + +-- [SPARK-27951] ANSI SQL: NTH_VALUE function +-- 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); + +-- [SPARK-28501] Frame bound value must be a literal. +-- 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.id, sum(i.id) over (order by i.id rows between 1 preceding and 1 following) as sum_rows +FROM range(1, 10) i; + +SELECT * FROM v_window; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- 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 range(1, 10) i; + +-- SELECT * FROM v_window; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- 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 range(1, 10) i; +-- SELECT * FROM v_window; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- 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; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- 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; + +CREATE OR REPLACE TEMP VIEW v_window AS +SELECT i.id, sum(i.id) over (order by i.id range between 1 preceding and 1 following) as sum_rows FROM range(1, 10) i; + +SELECT * FROM v_window; + +DROP VIEW v_window; + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- 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 range(now(), now()+'100 days', '1 hour') i; + +-- RANGE offset PRECEDING/FOLLOWING tests + +SELECT sum(unique1) over (order by four range between 2 preceding and 1 preceding), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +SELECT sum(unique1) over (order by four desc range between 2 preceding and 1 preceding), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 1 preceding exclude no others), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 1 preceding exclude current row), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 1 preceding exclude group), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 1 preceding exclude ties), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 6 following exclude ties), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 6 following exclude group), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +SELECT sum(unique1) over (partition by four order by unique1 range between 5 preceding and 6 following), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (partition by four order by unique1 range between 5 preceding and 6 following +-- exclude current row),unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select sum(salary) over (order by enroll_date range between '1 year' preceding and '1 year' following), +-- salary, enroll_date from empsalary; + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select sum(salary) over (order by enroll_date desc range between '1 year' preceding and '1 year' following), +-- salary, enroll_date from empsalary; + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select sum(salary) over (order by enroll_date desc range between '1 year' following and '1 year' following), +-- salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select sum(salary) over (order by enroll_date range between '1 year' preceding and '1 year' following +-- exclude current row), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select sum(salary) over (order by enroll_date range between '1 year' preceding and '1 year' following +-- exclude group), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select sum(salary) over (order by enroll_date range between '1 year' preceding and '1 year' following +-- exclude ties), salary, enroll_date from empsalary; + +-- [SPARK-27951] ANSI SQL: NTH_VALUE function +-- 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; + +-- [SPARK-27951] ANSI SQL: NTH_VALUE function +-- 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; + +-- [SPARK-27951] ANSI SQL: NTH_VALUE function +-- 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; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select last(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; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select first(salary) over(order by enroll_date range between unbounded preceding and '1 year' following +-- exclude ties), +-- last(salary) over(order by enroll_date range between unbounded preceding and '1 year' following), +-- salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select first(salary) over(order by enroll_date range between unbounded preceding and '1 year' following +-- exclude ties), +-- last(salary) over(order by enroll_date range between unbounded preceding and '1 year' following +-- exclude ties), +-- salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select first(salary) over(order by enroll_date range between unbounded preceding and '1 year' following +-- exclude group), +-- last(salary) over(order by enroll_date range between unbounded preceding and '1 year' following +-- exclude group), +-- salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select first(salary) over(order by enroll_date range between unbounded preceding and '1 year' following +-- exclude current row), +-- last(salary) over(order by enroll_date range between unbounded preceding and '1 year' following +-- exclude current row), +-- salary, enroll_date from empsalary; + +-- RANGE offset PRECEDING/FOLLOWING with null values +select ss.id, ss.y, + first(ss.y) over w, + last(ss.y) over w +from + (select x.id, x.id as y from range(1,5) as x + union all select null, 42 + union all select null, 43) ss +window w as + (order by ss.id asc nulls first range between 2 preceding and 2 following); + +select ss.id, ss.y, + first(ss.y) over w, + last(ss.y) over w +from + (select x.id, x.id as y from range(1,5) as x + union all select null, 42 + union all select null, 43) ss +window w as + (order by ss.id asc nulls last range between 2 preceding and 2 following); + +select ss.id, ss.y, + first(ss.y) over w, + last(ss.y) over w +from + (select x.id, x.id as y from range(1,5) as x + union all select null, 42 + union all select null, 43) ss +window w as + (order by ss.id desc nulls first range between 2 preceding and 2 following); + +select ss.id, ss.y, + first(ss.y) over w, + last(ss.y) over w +from + (select x.id, x.id as y from range(1,5) as x + union all select null, 42 + union all select null, 43) ss +window w as + (order by ss.id desc nulls last range between 2 preceding and 2 following); + +-- Check overflow behavior for various integer sizes + +select x.id, last(x.id) over (order by x.id range between current row and 2147450884 following) +from range(32764, 32766) x; + +select x.id, last(x.id) over (order by x.id desc range between current row and 2147450885 following) +from range(-32766, -32764) x; + +select x.id, last(x.id) over (order by x.id range between current row and 4 following) +from range(2147483644, 2147483646) x; + +select x.id, last(x.id) over (order by x.id desc range between current row and 5 following) +from range(-2147483646, -2147483644) x; + +select x.id, last(x.id) over (order by x.id range between current row and 4 following) +from range(9223372036854775804, 9223372036854775806) x; + +select x.id, last(x.id) over (order by x.id desc range between current row and 5 following) +from range(-9223372036854775806, -9223372036854775804) x; + +-- Test in_range for other numeric datatypes + +create table numerics ( + id int, + f_float4 float, + f_float8 float, + f_numeric int +) using parquet; + +-- [SPARK-27768] Infinity, -Infinity, NaN should be recognized in a case insensitive manner +insert into numerics values +(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', '1000'), +--(9, 'NaN', 'NaN', 'NaN'); +--(0, '-infinity', '-infinity', '-1000'), -- numeric type lacks infinities + + +select id, f_float4, first(id) over w, last(id) over w +from numerics +window w as (order by f_float4 range between + 1 preceding and 1 following); + +select id, f_float4, first(id) over w, last(id) over w +from numerics +window w as (order by f_float4 range between + 1 preceding and 1.1 following); + +select id, f_float4, first(id) over w, last(id) over w +from numerics +window w as (order by f_float4 range between + 'inf' preceding and 'inf' following); + +select id, f_float4, first(id) over w, last(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(id) over w, last(id) over w +from numerics +window w as (order by f_float8 range between + 1 preceding and 1 following); + +select id, f_float8, first(id) over w, last(id) over w +from numerics +window w as (order by f_float8 range between + 1 preceding and 1.1 following); + +select id, f_float8, first(id) over w, last(id) over w +from numerics +window w as (order by f_float8 range between + 'inf' preceding and 'inf' following); + +select id, f_float8, first(id) over w, last(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(id) over w, last(id) over w +from numerics +window w as (order by f_numeric range between + 1 preceding and 1 following); + +select id, f_numeric, first(id) over w, last(id) over w +from numerics +window w as (order by f_numeric range between + 1 preceding and 1.1 following); + +select id, f_numeric, first(id) over w, last(id) over w +from numerics +window w as (order by f_numeric range between + 1 preceding and 1.1 following); -- currently unsupported + +select id, f_numeric, first(id) over w, last(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 + +-- Spark only supports timestamp +create table datetimes ( + id int, + f_time timestamp, + f_timetz timestamp, + f_interval timestamp, + f_timestamptz timestamp, + f_timestamp timestamp +) using parquet; + +insert into datetimes values +(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'); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_time, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_time range between +-- '70 min' preceding and '2 hours' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_time, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_time desc range between +-- '70 min' preceding and '2 hours' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_timetz, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_timetz range between +-- '70 min' preceding and '2 hours' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_timetz, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_timetz desc range between +-- '70 min' preceding and '2 hours' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_interval, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_interval range between +-- '1 year' preceding and '1 year' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_interval, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_interval desc range between +-- '1 year' preceding and '1 year' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_timestamptz, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_timestamptz range between +-- '1 year' preceding and '1 year' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_timestamptz, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_timestamptz desc range between +-- '1 year' preceding and '1 year' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_timestamp, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_timestamp range between +-- '1 year' preceding and '1 year' following); + +-- [SPARK-28429] SQL Datetime util function being casted to double instead of timestamp +-- select id, f_timestamp, first(id) over w, last(id) over w +-- from datetimes +-- window w as (order by f_timestamp desc range between +-- '1 year' preceding and '1 year' following); + +-- RANGE offset PRECEDING/FOLLOWING error cases +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select sum(salary) over (order by enroll_date, salary range between '1 year' preceding and '2 years' following +-- exclude ties), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select sum(salary) over (range between '1 year' preceding and '2 years' following +-- exclude ties), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select sum(salary) over (order by depname range between '1 year' preceding and '2 years' following +-- exclude ties), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select max(enroll_date) over (order by enroll_date range between 1 preceding and 2 following +-- exclude ties), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select max(enroll_date) over (order by salary range between -1 preceding and 2 following +-- exclude ties), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select max(enroll_date) over (order by salary range between 1 preceding and -2 following +-- exclude ties), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select max(enroll_date) over (order by salary range between '1 year' preceding and '2 years' following +-- exclude ties), salary, enroll_date from empsalary; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select max(enroll_date) over (order by enroll_date range between '1 year' preceding and '-2 years' following +-- exclude ties), salary, enroll_date from empsalary; + +-- GROUPS tests + +SELECT sum(unique1) over (order by four range between unbounded preceding and current row), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +SELECT sum(unique1) over (order by four range between unbounded preceding and unbounded following), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +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 (order by four range between 1 preceding and unbounded following), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +SELECT sum(unique1) over (order by four range between 1 following and unbounded following), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +SELECT sum(unique1) over (order by four range between unbounded preceding and 2 following), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +SELECT sum(unique1) over (order by four range between 2 preceding and 1 preceding), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 1 following), +-- unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +SELECT sum(unique1) over (order by four range between 0 preceding and 0 following), +unique1, four +FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 1 following +-- exclude current row), unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range between 2 preceding and 1 following +-- exclude group), unique1, four +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (order by four range 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 range between 0 preceding and 0 following),unique1, four, ten +FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (partition by ten +-- order by four range between 0 preceding and 0 following exclude current row), unique1, four, ten +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (partition by ten +-- order by four range between 0 preceding and 0 following exclude group), unique1, four, ten +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- SELECT sum(unique1) over (partition by ten +-- order by four range between 0 preceding and 0 following exclude ties), unique1, four, ten +-- FROM tenk1 WHERE unique1 < 10; + +-- [SPARK-27951] ANSI SQL: NTH_VALUE function +-- 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; + +-- [SPARK-28508] Support for range frame+row frame in the same query +-- select last(salary) over(order by enroll_date range between 1 preceding and 1 following), +-- lag(salary) over(order by enroll_date range between 1 preceding and 1 following), +-- salary, enroll_date from empsalary; + +-- [SPARK-27951] ANSI SQL: NTH_VALUE function +-- 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; + +-- [SPARK-28428] Spark `exclude` always expecting `()` +-- select last(salary) over(order by enroll_date range between 1 following and 3 following +-- exclude group), +-- lag(salary) over(order by enroll_date range 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 range(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 range(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 range(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 1 union all select 1 union all select 1 union all + SELECT * FROM range(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 range(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 range(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 UNION + +SELECT count(*) OVER (PARTITION BY four) FROM (SELECT * FROM tenk1 UNION ALL SELECT * FROM tenk2)s LIMIT 0; + +-- check some degenerate cases + +create table t1 (f1 int, f2 int) using parquet; +insert into t1 values (1,1),(1,2),(2,2); + +select f1, sum(f1) over (partition by f1 order by f1 + range between 1 preceding and 1 following) +from t1 where f1 = f2; -- error, must have order by + +-- Since EXPLAIN clause rely on host physical location, it is commented out +-- explain +-- 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, +f1 order by f2 range between 1 preceding and 1 following) +from t1 where f1 = f2; + +-- Since EXPLAIN clause rely on host physical location, it is commented out +-- explain +-- 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; + +-- ordering by a non-integer constant is allowed + +SELECT rank() OVER (ORDER BY length('abc')); + +-- can't order by another window function +-- [SPARK-28566] window functions should not be allowed in window definitions +-- SELECT rank() OVER (ORDER BY rank() OVER (ORDER BY random())); + +-- some other errors +SELECT * FROM empsalary WHERE row_number() OVER (ORDER BY salary) < 10; + +-- [SPARK-28506] not handling usage of group function and window function at some conditions +-- SELECT * FROM empsalary INNER JOIN tenk1 ON row_number() OVER (ORDER BY salary) < 10; + +-- [SPARK-28506] not handling usage of group function and window function at some conditions +-- SELECT rank() OVER (ORDER BY 1), count(*) FROM empsalary GROUP BY 1; + +-- Since random() result may change due to seed issues, the behavior is actually unstable +SELECT * FROM rank() OVER (ORDER BY random()); + +SELECT * FROM empsalary WHERE (rank() OVER (ORDER BY random())) > 10; + +SELECT * FROM empsalary WHERE rank() OVER (ORDER BY random()); + +-- The original query currently outputs too many rows, so just count the output number +SELECT count(*) FROM (select count(*) OVER w FROM tenk1 WINDOW w AS (ORDER BY unique1), w AS (ORDER BY unique1)); + +-- The original query currently outputs too many rows, so just count the output number +SELECT count(*) FROM (select rank() OVER (PARTITION BY four ORDER BY ten) FROM tenk1); + +-- The original query currently outputs too many rows, so just count the output number +SELECT count(*) FROM (select count() OVER () FROM tenk1); + +-- [SPARK-28065] ntile only accepting positive (>0) values +SELECT ntile(0) OVER (ORDER BY ten), ten, four FROM tenk1; + +-- [SPARK-27951] ANSI SQL: NTH_VALUE function +-- SELECT nth_value(four, 0) OVER (ORDER BY ten), ten, four FROM tenk1; + +-- filter + +-- [SPARK-28500] Adds support for `filter` clause +-- SELECT sum(salary), row_number() OVER (ORDER BY depname), sum( +-- sum(salary) FILTER (WHERE enroll_date > '2007-01-01') +-- ) +-- FROM empsalary GROUP BY depname; + +-- Test pushdown of quals into a subquery containing window functions + +-- pushdown is safe because all PARTITION BY clauses include depname: +-- Since EXPLAIN clause rely on host physical location, it is commented out +-- EXPLAIN +-- 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: +-- Since EXPLAIN clause rely on host physical location, it is commented out +-- EXPLAIN +-- 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 Sort node collapsing +-- Since EXPLAIN clause rely on host physical location, it is commented out +-- EXPLAIN +-- 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'; + +-- Test Sort node reordering +-- Since EXPLAIN clause rely on host physical location, it is commented out +-- EXPLAIN +-- 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; + +-- cleanup +DROP TABLE empsalary; + +-- +-- Test various built-in aggregates that have moving-aggregate support +-- + +-- test inverse transition functions handle NULLs properly +SELECT i,AVG(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,AVG(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,AVG(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,AVG(v) 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); + +-- [SPARK-28602] Spark does not recognize 'interval' type as 'numeric' +-- SELECT i,AVG(cast(v as 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) 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) 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) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) + FROM (VALUES(1,1),(2,2),(3,NULL),(4,NULL)) t(i,v); + +-- The cast syntax is present in PgSQL for legacy reasons and Spark will not recognize a money field +-- 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); + +-- [SPARK-28602] Spark does not recognize 'interval' type as 'numeric' +-- SELECT i,SUM(cast(v as 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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); + +-- For the following queries Spark result differs from PgSQL: +-- Spark handles division by zero as 'NaN' instead of 'NULL', which is the PgSQL behaviour +SELECT STDDEV_SAMP(n) 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) 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) 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) 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) 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) 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) 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) 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 i,SUM(v) 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) 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) 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 +-- [SPARK-27768] Infinity, -Infinity, NaN should be recognized in a case insensitive manner Review comment: FYI: this fix is wip in https://github.com/apache/spark/pull/25331 ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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