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Commit d70dac20 authored by Alexander Barkov's avatar Alexander Barkov
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MDEV-20278 PERCENTILE_DISC() returns a wrong data type

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mysql-test/main/win_percentile.result
View file @ d70dac20
......@@ -36,23 +36,23 @@ 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 3.0000000000
Chun 3.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Tata 4.0000000000
Tatiana 4.0000000000
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 4.0000000000
Chun 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Tata 4.0000000000
Tatiana 4.0000000000
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
......@@ -79,13 +79,13 @@ 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 3.0000000000
Chun 3.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Kaolin 4.0000000000
Tata 4.0000000000
Tatiana 4.0000000000
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
......@@ -118,13 +118,13 @@ ERROR HY000: percentile_disc function only accepts arguments that can be convert
#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 3.0000000000
Chun 1.0000000000 3.0000000000
Kaolin 0.3333333333 4.0000000000
Kaolin 0.6666666667 4.0000000000
Kaolin 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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
......@@ -136,94 +136,94 @@ 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 3.0000000000
Chun 1.0000000000 3.0000000000
Kaolin 0.3333333333 3.0000000000
Kaolin 0.6666666667 3.0000000000
Kaolin 1.0000000000 3.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 3.0000000000
Chun 1.0000000000 3.0000000000
Kaolin 0.3333333333 3.0000000000
Kaolin 0.6666666667 3.0000000000
Kaolin 1.0000000000 3.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 3.0000000000
Chun 1.0000000000 3.0000000000
Kaolin 0.3333333333 3.0000000000
Kaolin 0.6666666667 3.0000000000
Kaolin 1.0000000000 3.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 3.0000000000
Chun 1.0000000000 3.0000000000
Kaolin 0.3333333333 4.0000000000
Kaolin 0.6666666667 4.0000000000
Kaolin 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 3.0000000000
Chun 1.0000000000 3.0000000000
Kaolin 0.3333333333 4.0000000000
Kaolin 0.6666666667 4.0000000000
Kaolin 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 7.0000000000
Chun 1.0000000000 7.0000000000
Kaolin 0.3333333333 4.0000000000
Kaolin 0.6666666667 4.0000000000
Kaolin 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 7.0000000000
Chun 1.0000000000 7.0000000000
Kaolin 0.3333333333 7.0000000000
Kaolin 0.6666666667 7.0000000000
Kaolin 1.0000000000 7.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 7.0000000000
Chun 1.0000000000 7.0000000000
Kaolin 0.3333333333 7.0000000000
Kaolin 0.6666666667 7.0000000000
Kaolin 1.0000000000 7.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 7.0000000000
Chun 1.0000000000 7.0000000000
Kaolin 0.3333333333 7.0000000000
Kaolin 0.6666666667 7.0000000000
Kaolin 1.0000000000 7.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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 7.0000000000
Chun 1.0000000000 7.0000000000
Kaolin 0.3333333333 7.0000000000
Kaolin 0.6666666667 7.0000000000
Kaolin 1.0000000000 7.0000000000
Tata 1.0000000000 4.0000000000
Tatiana 1.0000000000 4.0000000000
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
......@@ -366,3 +366,88 @@ median(val) OVER ()
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=latin1
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=latin1
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=latin1
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=latin1
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;
mysql-test/main/win_percentile.test
View file @ d70dac20
......@@ -146,3 +146,66 @@ select * from v1;
select median(val) OVER () FROM t1;
drop table t1;
drop view v1;
--echo #
--echo # MDEV-20278 PERCENTILE_DISC() returns a wrong data type
--echo #
--echo # 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;
DROP TABLE t2, t1;
--echo # 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;
SELECT name, pc, HEX(pc) FROM t2 ORDER BY name, pc;
DROP TABLE t2, t1;
--echo # 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;
DROP TABLE t2, t1;
--echo # 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;
SELECT * FROM t2 ORDER BY name, pc;
DROP TABLE t2, t1;
sql/item_windowfunc.cc
View file @ d70dac20
......@@ -174,7 +174,8 @@ bool Item_window_func::check_result_type_of_order_item()
{
if (only_single_element_order_list())
{
Item_result rtype= window_spec->order_list->first->item[0]->cmp_type();
Item *src_item= window_spec->order_list->first->item[0];
Item_result rtype= src_item->cmp_type();
// TODO (varun) : support date type in percentile_cont function
if (rtype != REAL_RESULT && rtype != INT_RESULT &&
rtype != DECIMAL_RESULT && rtype != TIME_RESULT)
......@@ -182,7 +183,14 @@ bool Item_window_func::check_result_type_of_order_item()
my_error(ER_WRONG_TYPE_FOR_PERCENTILE_FUNC, MYF(0), window_func()->func_name());
return TRUE;
}
setting_handler_for_percentile_functions(rtype);
if (window_func()->sum_func() == Item_sum::PERCENTILE_DISC_FUNC)
{
Item_sum_percentile_disc *func=
static_cast<Item_sum_percentile_disc*>(window_func());
func->set_handler(src_item->type_handler());
func->Type_std_attributes::set(src_item);
Type_std_attributes::set(src_item);
}
}
return FALSE;
}
......
sql/item_windowfunc.h
View file @ d70dac20
......@@ -1097,17 +1097,6 @@ class Item_window_func : public Item_func_or_sum
}
}
void setting_handler_for_percentile_functions(Item_result rtype) const
{
switch (window_func()->sum_func()){
case Item_sum::PERCENTILE_DISC_FUNC:
((Item_sum_percentile_disc* ) window_func())->set_handler_by_cmp_type(rtype);
break;
default:
return;
}
}
bool check_result_type_of_order_item();
......
sql/sql_type.h
View file @ d70dac20
......@@ -3506,10 +3506,6 @@ class Type_handler_hybrid_field_type
{
return (m_type_handler= Type_handler::get_handler_by_result_type(type));
}
const Type_handler *set_handler_by_cmp_type(Item_result type)
{
return (m_type_handler= Type_handler::get_handler_by_cmp_type(type));
}
const Type_handler *set_handler_by_result_type(Item_result type,
uint max_octet_length,
CHARSET_INFO *cs)
......
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