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CREATE TABLE t1 (name CHAR(10), test double, score DECIMAL(19,4));
INSERT INTO t1 VALUES
('Chun', 0, 3), ('Chun', 0, 7),
('Kaolin', 0.5, 3), ('Kaolin', 0.6, 7),
('Kaolin', 0.5, 4),
('Tatiana', 0.8, 4), ('Tata', 0.8, 4);
#
# Test invalid syntax
#
# Order by clause has more than one element
select percentile_disc(0.5) within group(order by score,test) over (partition by name) from t1;
ERROR 42000: You have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near 'test) over (partition by name) from t1' at line 1
select percentile_cont(0.5) within group(order by score,test) over (partition by name) from t1;
ERROR 42000: You have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near 'test) over (partition by name) from t1' at line 1
# Order by clause has no element
select percentile_disc(0.5) within group() over (partition by name) from t1;
ERROR 42000: You have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near ') over (partition by name) from t1' at line 1
select percentile_cont(0.5) within group() over (partition by name) from t1;
ERROR 42000: You have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near ') over (partition by name) from t1' at line 1
# No parameters to the percentile functions
select percentile_disc() within group() over (partition by name) from t1;
ERROR 42000: You have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near ') within group() over (partition by name) from t1' at line 1
select percentile_cont() within group() over (partition by name) from t1;
ERROR 42000: You have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near ') within group() over (partition by name) from t1' at line 1
#
# Test simple syntax
#
select name, percentile_cont(0.5) within group(order by score) over (partition by name) as c from t1;
name c
Chun 5.0000000000
Chun 5.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Tata 4.0000000000
Tatiana 4.0000000000
select name, percentile_disc(0.5) within group(order by score) over (partition by name) as c from t1;
name c
Chun 3.0000
Chun 3.0000
Kaolin 4.0000
Kaolin 4.0000
Kaolin 4.0000
Tata 4.0000
Tatiana 4.0000
# no partition clause
select name, percentile_disc(0.5) within group(order by score) over () from t1;
name percentile_disc(0.5) within group(order by score) over ()
Chun 4.0000
Chun 4.0000
Kaolin 4.0000
Kaolin 4.0000
Kaolin 4.0000
Tata 4.0000
Tatiana 4.0000
select name, percentile_cont(0.5) within group(order by score) over () from t1;
name percentile_cont(0.5) within group(order by score) over ()
Chun 4.0000000000
Chun 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Tata 4.0000000000
Tatiana 4.0000000000
# argument set to null
select name, percentile_cont(null) within group(order by score) over (partition by name) from t1;
ERROR HY000: percentile_cont function only accepts arguments that can be converted to numerical types
select name, percentile_disc(null) within group(order by score) over (partition by name) from t1;
ERROR HY000: percentile_disc function only accepts arguments that can be converted to numerical types
#subqueries having percentile functions
select * from ( select name , percentile_cont(0.5) within group ( order by score) over (partition by name ) from t1 ) as t;
name percentile_cont(0.5) within group ( order by score) over (partition by name )
Chun 5.0000000000
Chun 5.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Tata 4.0000000000
Tatiana 4.0000000000
select * from ( select name , percentile_disc(0.5) within group ( order by score) over (partition by name ) from t1 ) as t;
name percentile_disc(0.5) within group ( order by score) over (partition by name )
Chun 3.0000
Chun 3.0000
Kaolin 4.0000
Kaolin 4.0000
Kaolin 4.0000
Tata 4.0000
Tatiana 4.0000
select name from t1 a where (select percentile_disc(0.5) within group (order by score) over (partition by name) from t1 b limit 1) >= 0.5;
name
Chun
Chun
Kaolin
Kaolin
Kaolin
Tata
Tatiana
#disallowed fields in order by
select score, percentile_cont(0.5) within group(order by name) over (partition by score) as result from t1;
ERROR HY000: Numeric datatype is required for percentile_cont function
select score, percentile_disc(0.5) within group(order by name) over (partition by score) as result from t1;
score result
3.0000 Chun
3.0000 Chun
4.0000 Tata
4.0000 Tata
4.0000 Tata
7.0000 Chun
7.0000 Chun
#parameter value should be in the range of [0,1]
select percentile_disc(1.5) within group(order by score) over (partition by name) from t1;
ERROR HY000: Argument to the percentile_disc function does not belong to the range [0,1]
select percentile_cont(1.5) within group(order by score) over (partition by name) from t1;
ERROR HY000: Argument to the percentile_cont function does not belong to the range [0,1]
#Argument should remain constant for the entire partition
select name,percentile_cont(test) within group(order by score) over (partition by name) from t1;
ERROR HY000: Argument to the percentile_cont function is not a constant for a partition
select name, percentile_disc(test) within group(order by score) over (partition by name) from t1;
ERROR HY000: Argument to the percentile_disc function is not a constant for a partition
#only numerical types are allowed as argument to percentile functions
select name, percentile_cont(name) within group(order by score) over (partition by name) from t1;
ERROR HY000: percentile_cont function only accepts arguments that can be converted to numerical types
select name, percentile_disc(name) within group(order by score) over (partition by name) from t1;
ERROR HY000: percentile_disc function only accepts arguments that can be converted to numerical types
#complete query with partition column
select name,cume_dist() over (partition by name order by score), percentile_disc(0.5) within group(order by score) over (partition by name) as c from t1;
name cume_dist() over (partition by name order by score) c
Chun 0.5000000000 3.0000
Chun 1.0000000000 3.0000
Kaolin 0.3333333333 4.0000
Kaolin 0.6666666667 4.0000
Kaolin 1.0000000000 4.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name, percentile_cont(0.5) within group(order by score) over (partition by name) as c from t1;
name c
Chun 5.0000000000
Chun 5.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Tata 4.0000000000
Tatiana 4.0000000000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.1) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 3.0000
Chun 1.0000000000 3.0000
Kaolin 0.3333333333 3.0000
Kaolin 0.6666666667 3.0000
Kaolin 1.0000000000 3.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.2) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 3.0000
Chun 1.0000000000 3.0000
Kaolin 0.3333333333 3.0000
Kaolin 0.6666666667 3.0000
Kaolin 1.0000000000 3.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.3) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 3.0000
Chun 1.0000000000 3.0000
Kaolin 0.3333333333 3.0000
Kaolin 0.6666666667 3.0000
Kaolin 1.0000000000 3.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.4) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 3.0000
Chun 1.0000000000 3.0000
Kaolin 0.3333333333 4.0000
Kaolin 0.6666666667 4.0000
Kaolin 1.0000000000 4.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.5) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 3.0000
Chun 1.0000000000 3.0000
Kaolin 0.3333333333 4.0000
Kaolin 0.6666666667 4.0000
Kaolin 1.0000000000 4.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.6) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 7.0000
Chun 1.0000000000 7.0000
Kaolin 0.3333333333 4.0000
Kaolin 0.6666666667 4.0000
Kaolin 1.0000000000 4.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.7) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 7.0000
Chun 1.0000000000 7.0000
Kaolin 0.3333333333 7.0000
Kaolin 0.6666666667 7.0000
Kaolin 1.0000000000 7.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.8) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 7.0000
Chun 1.0000000000 7.0000
Kaolin 0.3333333333 7.0000
Kaolin 0.6666666667 7.0000
Kaolin 1.0000000000 7.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(0.9) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 7.0000
Chun 1.0000000000 7.0000
Kaolin 0.3333333333 7.0000
Kaolin 0.6666666667 7.0000
Kaolin 1.0000000000 7.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select name,cume_dist() over (partition by name order by score) as b, percentile_disc(1) within group(order by score) over (partition by name) as c from t1;
name b c
Chun 0.5000000000 7.0000
Chun 1.0000000000 7.0000
Kaolin 0.3333333333 7.0000
Kaolin 0.6666666667 7.0000
Kaolin 1.0000000000 7.0000
Tata 1.0000000000 4.0000
Tatiana 1.0000000000 4.0000
select median(score) over (partition by name), percentile_cont(0) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 3.0000000000
5.0000000000 3.0000000000
4.0000000000 3.0000000000
4.0000000000 3.0000000000
4.0000000000 3.0000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.1) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 3.4000000000
5.0000000000 3.4000000000
4.0000000000 3.2000000000
4.0000000000 3.2000000000
4.0000000000 3.2000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.2) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 3.8000000000
5.0000000000 3.8000000000
4.0000000000 3.4000000000
4.0000000000 3.4000000000
4.0000000000 3.4000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.3) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 4.2000000000
5.0000000000 4.2000000000
4.0000000000 3.6000000000
4.0000000000 3.6000000000
4.0000000000 3.6000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.4) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 4.6000000000
5.0000000000 4.6000000000
4.0000000000 3.8000000000
4.0000000000 3.8000000000
4.0000000000 3.8000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.5) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 5.0000000000
5.0000000000 5.0000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.6) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 5.4000000000
5.0000000000 5.4000000000
4.0000000000 4.6000000000
4.0000000000 4.6000000000
4.0000000000 4.6000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.7) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 5.8000000000
5.0000000000 5.8000000000
4.0000000000 5.2000000000
4.0000000000 5.2000000000
4.0000000000 5.2000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.8) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 6.2000000000
5.0000000000 6.2000000000
4.0000000000 5.8000000000
4.0000000000 5.8000000000
4.0000000000 5.8000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(0.9) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 6.6000000000
5.0000000000 6.6000000000
4.0000000000 6.4000000000
4.0000000000 6.4000000000
4.0000000000 6.4000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
select median(score) over (partition by name), percentile_cont(1) within group(order by score) over (partition by name) as c from t1;
median(score) over (partition by name) c
5.0000000000 7.0000000000
5.0000000000 7.0000000000
4.0000000000 7.0000000000
4.0000000000 7.0000000000
4.0000000000 7.0000000000
4.0000000000 4.0000000000
4.0000000000 4.0000000000
drop table t1;
#
# MDEV-13352: MEDIAN window function over a table with virtual column
# in select with CTE and ORDER BY
#
CREATE TABLE t1 (f1 int ,f2 int ,f3 int, f4 int, v1 int AS (-f4) virtual);
INSERT INTO t1(f1,f2,f3,f4) VALUES
(1,10,100,10), (7,11,112,15), (3,14,121,12);
WITH CTE AS (SELECT MIN(f3) OVER () FROM t1)
SELECT MEDIAN(f3) OVER () FROM t1
ORDER BY f1, f2, f3, f4, v1;
MEDIAN(f3) OVER ()
112.0000000000
112.0000000000
112.0000000000
DROP TABLE t1;
#
# MDEV-15846: Sever crashed with MEDIAN() window function
#
CREATE TABLE t1 ( pk int PRIMARY KEY, a1 int, a2 int);
SELECT MEDIAN(`a1`) OVER (),
MEDIAN(`a2`) OVER (PARTITION BY `pk`)
FROM t1;
MEDIAN(`a1`) OVER () MEDIAN(`a2`) OVER (PARTITION BY `pk`)
DROP TABLE t1;
#
# MDEV-17137: Syntax errors with VIEW using MEDIAN
#
CREATE TABLE t1(val int);
INSERT INTO t1 VALUES (1), (2), (3);
CREATE VIEW v1 AS SELECT MEDIAN(val) OVER() FROM t1;
select * from v1;
MEDIAN(val) OVER()
2.0000000000
2.0000000000
2.0000000000
select median(val) OVER () FROM t1;
median(val) OVER ()
2.0000000000
2.0000000000
2.0000000000
drop table t1;
drop view v1;
#
# MDEV-20278 PERCENTILE_DISC() returns a wrong data type
#
# INT variants
CREATE TABLE t1 (name CHAR(30), star_rating INT);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 5);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 3);
INSERT INTO t1 VALUES ('Lady of the Flies', 1);
INSERT INTO t1 VALUES ('Lady of the Flies', 2);
INSERT INTO t1 VALUES ('Lady of the Flies', 5);
CREATE OR REPLACE TABLE t2 AS SELECT name, PERCENTILE_DISC(0.5)
WITHIN GROUP (ORDER BY star_rating)
OVER (PARTITION BY name) AS pc FROM t1;
SHOW CREATE TABLE t2;
Table Create Table
t2 CREATE TABLE `t2` (
`name` char(30) DEFAULT NULL,
`pc` int(11) DEFAULT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_uca1400_ai_ci
DROP TABLE t2, t1;
# UNSIGNED INT variants
CREATE OR REPLACE TABLE t1 (name CHAR(30), star_rating BIGINT UNSIGNED);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 0x8000000000000005);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 0x8000000000000003);
INSERT INTO t1 VALUES ('Lady of the Flies', 0x8000000000000001);
INSERT INTO t1 VALUES ('Lady of the Flies', 0x8000000000000002);
INSERT INTO t1 VALUES ('Lady of the Flies', 0x8000000000000003);
CREATE OR REPLACE TABLE t2 AS SELECT name, PERCENTILE_DISC(0.5)
WITHIN GROUP (ORDER BY star_rating)
OVER (PARTITION BY name) AS pc FROM t1;
SHOW CREATE TABLE t2;
Table Create Table
t2 CREATE TABLE `t2` (
`name` char(30) DEFAULT NULL,
`pc` bigint(20) unsigned DEFAULT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_uca1400_ai_ci
SELECT name, pc, HEX(pc) FROM t2 ORDER BY name, pc;
name pc HEX(pc)
Lady of the Flies 9223372036854775810 8000000000000002
Lady of the Flies 9223372036854775810 8000000000000002
Lady of the Flies 9223372036854775810 8000000000000002
Lord of the Ladybirds 9223372036854775811 8000000000000003
Lord of the Ladybirds 9223372036854775811 8000000000000003
DROP TABLE t2, t1;
# FLOAT variants
CREATE TABLE t1 (name CHAR(30), star_rating FLOAT);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 5);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 3);
INSERT INTO t1 VALUES ('Lady of the Flies', 1);
INSERT INTO t1 VALUES ('Lady of the Flies', 2);
INSERT INTO t1 VALUES ('Lady of the Flies', 5);
CREATE TABLE t2 AS SELECT name, PERCENTILE_DISC(0.5)
WITHIN GROUP (ORDER BY star_rating)
OVER (PARTITION BY name) AS pc FROM t1;
SHOW CREATE TABLE t2;
Table Create Table
t2 CREATE TABLE `t2` (
`name` char(30) DEFAULT NULL,
`pc` float DEFAULT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_uca1400_ai_ci
DROP TABLE t2, t1;
# DECIMAL variants
CREATE OR REPLACE TABLE t1 (name CHAR(30), star_rating DECIMAL(30,2));
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 50000000000);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 30000000000);
INSERT INTO t1 VALUES ('Lady of the Flies', 10000000000);
INSERT INTO t1 VALUES ('Lady of the Flies', 20000000000);
INSERT INTO t1 VALUES ('Lady of the Flies', 50000000000);
CREATE OR REPLACE TABLE t2 AS SELECT name, PERCENTILE_DISC(0.5)
WITHIN GROUP (ORDER BY star_rating)
OVER (PARTITION BY name) AS pc FROM t1;
SHOW CREATE TABLE t2;
Table Create Table
t2 CREATE TABLE `t2` (
`name` char(30) DEFAULT NULL,
`pc` decimal(30,2) DEFAULT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_uca1400_ai_ci
SELECT * FROM t2 ORDER BY name, pc;
name pc
Lady of the Flies 20000000000.00
Lady of the Flies 20000000000.00
Lady of the Flies 20000000000.00
Lord of the Ladybirds 30000000000.00
Lord of the Ladybirds 30000000000.00
DROP TABLE t2, t1;
#
# MDEV-20280 PERCENTILE_DISC() rejects temporal and string input
#
CREATE OR REPLACE TABLE t1 (name CHAR(30), star_rating TIME);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 5);
INSERT INTO t1 VALUES ('Lord of the Ladybirds', 3);
INSERT INTO t1 VALUES ('Lady of the Flies', 1);
INSERT INTO t1 VALUES ('Lady of the Flies', 2);
INSERT INTO t1 VALUES ('Lady of the Flies', 5);
SELECT name, PERCENTILE_DISC(0.5)
WITHIN GROUP (ORDER BY star_rating)
OVER (PARTITION BY name) AS pc FROM t1;
name pc
Lady of the Flies 00:00:02
Lady of the Flies 00:00:02
Lady of the Flies 00:00:02
Lord of the Ladybirds 00:00:03
Lord of the Ladybirds 00:00:03
SELECT name, PERCENTILE_DISC(0)
WITHIN GROUP (ORDER BY star_rating)
OVER (PARTITION BY name) AS pc FROM t1;
name pc
Lady of the Flies 00:00:01
Lady of the Flies 00:00:01
Lady of the Flies 00:00:01
Lord of the Ladybirds 00:00:03
Lord of the Ladybirds 00:00:03
SELECT name, PERCENTILE_DISC(1)
WITHIN GROUP (ORDER BY star_rating)
OVER (PARTITION BY name) AS pc FROM t1;
name pc
Lady of the Flies 00:00:05
Lady of the Flies 00:00:05
Lady of the Flies 00:00:05
Lord of the Ladybirds 00:00:05
Lord of the Ladybirds 00:00:05
DROP TABLE t1;
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