1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
|
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
Tatiana 4.0000000000
Tata 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
Tatiana 4.0000000000
Tata 4.0000000000
# 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
Tatiana 4.0000000000
Tata 4.0000000000
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
Tatiana 4.0000000000
Tata 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
Tatiana 4.0000000000
Tata 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
Tatiana 4.0000000000
Tata 4.0000000000
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;
ERROR HY000: Numeric datatype is required for percentile_disc function
#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 3.0000000000
Chun 1.0000000000 3.0000000000
Kaolin 0.3333333333 4.0000000000
Kaolin 1.0000000000 4.0000000000
Kaolin 0.6666666667 4.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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
Tatiana 4.0000000000
Tata 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 1.0000000000 3.0000000000
Kaolin 0.6666666667 3.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 3.0000000000
Kaolin 0.6666666667 3.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 3.0000000000
Kaolin 0.6666666667 3.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 4.0000000000
Kaolin 0.6666666667 4.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 4.0000000000
Kaolin 0.6666666667 4.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 4.0000000000
Kaolin 0.6666666667 4.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 7.0000000000
Kaolin 0.6666666667 7.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 7.0000000000
Kaolin 0.6666666667 7.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 7.0000000000
Kaolin 0.6666666667 7.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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 1.0000000000 7.0000000000
Kaolin 0.6666666667 7.0000000000
Tatiana 1.0000000000 4.0000000000
Tata 1.0000000000 4.0000000000
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;
|
