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Commit 58a6e435 authored by Varun Gupta's avatar Varun Gupta
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Tests added for percentile and median functions

parent b77105ca
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mysql-test/r/win_percentile.result 0 → 100644
View file @ 58a6e435
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);
select name, percentile_cont(0.5) within group(order by score) over (partition by name) as c from t1;
name c
Chun 5.00000
Chun 5.00000
Kaolin 4.00000
Kaolin 4.00000
Kaolin 4.00000
Tatiana 4.00000
Tata 4.00000
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 4.00000
Chun 4.00000
Kaolin 4.00000
Kaolin 4.00000
Kaolin 4.00000
Tatiana 4.00000
Tata 4.00000
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 4.00000
Chun 4.00000
Kaolin 4.00000
Kaolin 4.00000
Kaolin 4.00000
Tatiana 4.00000
Tata 4.00000
argument set to null
select name, percentile_cont(null) within group(order by score) over (partition by name) from t1;
ERROR HY000: Numeric values are only allowed as arguments to percentile functions
select name, percentile_disc(null) within group(order by score) over (partition by name) from t1;
ERROR HY000: Numeric values are only allowed as arguments to percentile functions
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 5.00000
Chun 5.00000
Kaolin 4.00000
Kaolin 4.00000
Kaolin 4.00000
Tatiana 4.00000
Tata 4.00000
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 3.00000
Chun 3.00000
Kaolin 4.00000
Kaolin 4.00000
Kaolin 4.00000
Tatiana 4.00000
Tata 4.00000
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
Tatiana
Tata
disallowed fields in order by
select score, percentile_cont(0.5) within group(order by name) over (partition by score) 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) from t1;
score percentile_disc(0.5) within group(order by name) over (partition by score)
3.0000 Chun
7.0000 Chun
3.0000 Chun
7.0000 Chun
4.0000 Tata
4.0000 Tata
4.0000 Tata
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
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 functions 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 functions does not belong to the range [0,1]
select name,percentile_cont(test) within group(order by score) over (partition by name) from t1;
ERROR HY000: Argument to the percentile functions is not a constant
select name, percentile_disc(test) within group(order by score) over (partition by name) from t1;
ERROR HY000: Argument to the percentile functions is not a constant
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: Numeric values are only allowed as arguments to percentile functions
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 3.00000
Chun 1.0000000000 3.00000
Kaolin 0.3333333333 4.00000
Kaolin 1.0000000000 4.00000
Kaolin 0.6666666667 4.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
select name, percentile_cont(0.5) within group(order by score) over (partition by name) as c from t1;
name c
Chun 5.00000
Chun 5.00000
Kaolin 4.00000
Kaolin 4.00000
Kaolin 4.00000
Tatiana 4.00000
Tata 4.00000
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 3.00000
Chun 1.0000000000 3.00000
Kaolin 0.3333333333 3.00000
Kaolin 1.0000000000 3.00000
Kaolin 0.6666666667 3.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 3.00000
Chun 1.0000000000 3.00000
Kaolin 0.3333333333 3.00000
Kaolin 1.0000000000 3.00000
Kaolin 0.6666666667 3.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 3.00000
Chun 1.0000000000 3.00000
Kaolin 0.3333333333 3.00000
Kaolin 1.0000000000 3.00000
Kaolin 0.6666666667 3.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 3.00000
Chun 1.0000000000 3.00000
Kaolin 0.3333333333 4.00000
Kaolin 1.0000000000 4.00000
Kaolin 0.6666666667 4.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 3.00000
Chun 1.0000000000 3.00000
Kaolin 0.3333333333 4.00000
Kaolin 1.0000000000 4.00000
Kaolin 0.6666666667 4.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 7.00000
Chun 1.0000000000 7.00000
Kaolin 0.3333333333 4.00000
Kaolin 1.0000000000 4.00000
Kaolin 0.6666666667 4.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 7.00000
Chun 1.0000000000 7.00000
Kaolin 0.3333333333 7.00000
Kaolin 1.0000000000 7.00000
Kaolin 0.6666666667 7.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 7.00000
Chun 1.0000000000 7.00000
Kaolin 0.3333333333 7.00000
Kaolin 1.0000000000 7.00000
Kaolin 0.6666666667 7.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 7.00000
Chun 1.0000000000 7.00000
Kaolin 0.3333333333 7.00000
Kaolin 1.0000000000 7.00000
Kaolin 0.6666666667 7.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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 7.00000
Chun 1.0000000000 7.00000
Kaolin 0.3333333333 7.00000
Kaolin 1.0000000000 7.00000
Kaolin 0.6666666667 7.00000
Tatiana 1.0000000000 4.00000
Tata 1.0000000000 4.00000
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
5.00000 3.00000
5.00000 3.00000
4.00000 3.00000
4.00000 3.00000
4.00000 3.00000
4.00000 4.00000
4.00000 4.00000
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
5.00000 3.40000
5.00000 3.40000
4.00000 3.20000
4.00000 3.20000
4.00000 3.20000
4.00000 4.00000
4.00000 4.00000
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
5.00000 3.80000
5.00000 3.80000
4.00000 3.40000
4.00000 3.40000
4.00000 3.40000
4.00000 4.00000
4.00000 4.00000
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
5.00000 4.20000
5.00000 4.20000
4.00000 3.60000
4.00000 3.60000
4.00000 3.60000
4.00000 4.00000
4.00000 4.00000
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
5.00000 4.60000
5.00000 4.60000
4.00000 3.80000
4.00000 3.80000
4.00000 3.80000
4.00000 4.00000
4.00000 4.00000
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
5.00000 5.00000
5.00000 5.00000
4.00000 4.00000
4.00000 4.00000
4.00000 4.00000
4.00000 4.00000
4.00000 4.00000
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
5.00000 5.40000
5.00000 5.40000
4.00000 4.60000
4.00000 4.60000
4.00000 4.60000
4.00000 4.00000
4.00000 4.00000
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
5.00000 5.80000
5.00000 5.80000
4.00000 5.20000
4.00000 5.20000
4.00000 5.20000
4.00000 4.00000
4.00000 4.00000
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
5.00000 6.20000
5.00000 6.20000
4.00000 5.80000
4.00000 5.80000
4.00000 5.80000
4.00000 4.00000
4.00000 4.00000
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
5.00000 6.60000
5.00000 6.60000
4.00000 6.40000
4.00000 6.40000
4.00000 6.40000
4.00000 4.00000
4.00000 4.00000
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
5.00000 7.00000
5.00000 7.00000
4.00000 7.00000
4.00000 7.00000
4.00000 7.00000
4.00000 4.00000
4.00000 4.00000
drop table t1;
mysql-test/t/win_percentile.test 0 → 100644
View file @ 58a6e435
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);
select name, percentile_cont(0.5) within group(order by score) over (partition by name) as c from t1;
--echo no partition clause
select name, percentile_disc(0.5) within group(order by score) over () from t1;
select name, percentile_cont(0.5) within group(order by score) over () from t1;
--echo argument set to null
--error ER_WRONG_TYPE_OF_ARGUMENT
select name, percentile_cont(null) within group(order by score) over (partition by name) from t1;
--error ER_WRONG_TYPE_OF_ARGUMENT
select name, percentile_disc(null) within group(order by score) over (partition by name) from t1;
--echo 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;
select * from ( select name , percentile_disc(0.5) within group ( order by score) over (partition by name ) from t1 ) as t;
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;
--echo disallowed fields in order by
--error ER_WRONG_TYPE_FOR_PERCENTILE_CONT
select score, percentile_cont(0.5) within group(order by name) over (partition by score) from t1;
select score, percentile_disc(0.5) within group(order by name) over (partition by score) from t1;
--echo order by clause has more than one element
--error ER_PARSE_ERROR
select percentile_disc(0.5) within group(order by score,test) over (partition by name) from t1;
--error ER_PARSE_ERROR
select percentile_cont(0.5) within group(order by score,test) over (partition by name) from t1;
--echo parameter value should be in the range of [0,1]
--error ER_ARGUMENT_OUT_OF_RANGE
select percentile_disc(1.5) within group(order by score) over (partition by name) from t1;
--error ER_ARGUMENT_OUT_OF_RANGE
select percentile_cont(1.5) within group(order by score) over (partition by name) from t1;
--error ER_ARGUMENT_NOT_CONSTANT
select name,percentile_cont(test) within group(order by score) over (partition by name) from t1;
--error ER_ARGUMENT_NOT_CONSTANT
select name, percentile_disc(test) within group(order by score) over (partition by name) from t1;
--echo only numerical types are allowed as argument to percentile functions
--error ER_WRONG_TYPE_OF_ARGUMENT
select name, percentile_cont(name) within group(order by score) over (partition by name) from t1;
--echo 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;
select name, percentile_cont(0.5) within group(order by score) over (partition by name) as c from t1;
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;
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;
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;
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;
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;
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;
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;
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;
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;
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;
select median(score) over (partition by name), percentile_cont(0) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.1) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.2) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.3) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.4) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.5) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.6) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.7) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.8) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(0.9) within group(order by score) over (partition by name) as c from t1;
select median(score) over (partition by name), percentile_cont(1) within group(order by score) over (partition by name) as c from t1;
drop table t1;
sql/item_windowfunc.cc
View file @ 58a6e435
...@@ -176,7 +176,7 @@ bool Item_window_func::check_result_type_of_order_item() ...@@ -176,7 +176,7 @@ bool Item_window_func::check_result_type_of_order_item()
Item_result rtype= window_spec->order_list->first->item[0]->cmp_type(); Item_result rtype= window_spec->order_list->first->item[0]->cmp_type();
// TODO (varun) : support date type in percentile_cont function // TODO (varun) : support date type in percentile_cont function
if (rtype != REAL_RESULT && rtype != INT_RESULT && if (rtype != REAL_RESULT && rtype != INT_RESULT &&
rtype != DECIMAL_RESULT && rtype != TIME_RESULT rtype != DECIMAL_RESULT && rtype != TIME_RESULT &&
window_func()->sum_func() == Item_sum::PERCENTILE_CONT_FUNC) window_func()->sum_func() == Item_sum::PERCENTILE_CONT_FUNC)
{ {
my_error(ER_WRONG_TYPE_FOR_PERCENTILE_CONT, MYF(0)); my_error(ER_WRONG_TYPE_FOR_PERCENTILE_CONT, MYF(0));
......
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