File: test_window_constant_aggregate.test

package info (click to toggle)
duckdb 1.5.1-3
  • links: PTS, VCS
  • area: main
  • in suites:
  • size: 299,196 kB
  • sloc: cpp: 865,414; ansic: 57,292; python: 18,871; sql: 12,663; lisp: 11,751; yacc: 7,412; lex: 1,682; sh: 747; makefile: 564
file content (311 lines) | stat: -rw-r--r-- 8,859 bytes parent folder | download | duplicates (3)
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
# name: test/sql/window/test_window_constant_aggregate.test
# description: Test "constant" aggregation (single result for each partition)
# group: [window]

statement ok
PRAGMA enable_verification

# Mix of constant/non-constant aggregate (sum and lead over same OVER clause)
query IIII
SELECT part, id, sum(val) OVER(PARTITION BY part ORDER BY id), lead(val) OVER(PARTITION BY part ORDER BY id)
FROM (SELECT range AS id, range % 5 AS part, range AS val FROM range(13)) t
ORDER BY ALL;
----
0	0	0	5
0	5	5	10
0	10	15	NULL
1	1	1	6
1	6	7	11
1	11	18	NULL
2	2	2	7
2	7	9	12
2	12	21	NULL
3	3	3	8
3	8	11	NULL
4	4	4	9
4	9	13	NULL

# Constant aggregate with non-simple_update 
query III
SELECT part, id, list_sort(list(val) OVER(PARTITION BY part))
FROM (SELECT range AS id, range % 5 AS part, range AS val FROM range(13)) t
ORDER BY ALL;
----
0	0	[0, 5, 10]
0	5	[0, 5, 10]
0	10	[0, 5, 10]
1	1	[1, 6, 11]
1	6	[1, 6, 11]
1	11	[1, 6, 11]
2	2	[2, 7, 12]
2	7	[2, 7, 12]
2	12	[2, 7, 12]
3	3	[3, 8]
3	8	[3, 8]
4	4	[4, 9]
4	9	[4, 9]

# Constant aggregate with not-nicely-aligned partitions (e.g. partitions are 73, 75, 77, 79, 81, 83, ... rows)
query III
SELECT part, min(const) AS lo, max(const) AS hi
FROM (
	SELECT part, sum(val) OVER(PARTITION BY part) as const
	FROM (
		(SELECT 1 AS part, range AS val FROM range(73))
	UNION ALL
		(SELECT 2 AS part, range AS val FROM range(75))
	UNION ALL
		(SELECT 3 AS part, range AS val FROM range(77))
	UNION ALL
		(SELECT 4 AS part, range AS val FROM range(79))
	UNION ALL
		(SELECT 5 AS part, range AS val FROM range(81))
	UNION ALL
		(SELECT 6 AS part, range AS val FROM range(83))
	) u
) t
GROUP BY ALL
ORDER BY ALL
;
----
1	2628	2628
2	2775	2775
3	2926	2926
4	3081	3081
5	3240	3240
6	3403	3403

# Constant aggregate with large partitions (> vector size), also not nicely-aligned
query III
SELECT part, min(const) AS lo, max(const) AS hi
FROM (
	SELECT part, sum(val) OVER(PARTITION BY part) AS const
	FROM (
		SELECT part, val
		FROM (
			(SELECT range as part, random() AS val FROM range(10)) r
		CROSS JOIN 
			range(3000)
		) p
	) t
) w
GROUP BY ALL
HAVING lo <> hi
ORDER BY ALL
;
----

statement ok
CREATE TABLE issue7353 (
    Season VARCHAR,
    Medal VARCHAR,
    Sex VARCHAR,
    Ct INT,
    Depth INT
);

statement ok
INSERT INTO issue7353 (Season, Medal, Sex, Ct, Depth) VALUES
    (NULL, NULL, NULL, 271116, 0),
    ('Summer', NULL, NULL, 222552, 1),
    ('Winter', NULL, NULL, 48564, 1),
    ('Summer', 'NA', NULL, 188464, 2),
    ('Summer', 'Gold', NULL, 11459, 2),
    ('Winter', 'NA', NULL, 42869, 2),
    ('Summer', 'Bronze', NULL, 11409, 2),
    ('Winter', 'Bronze', NULL, 1886, 2),
    ('Winter', 'Gold', NULL, 1913, 2),
    ('Winter', 'Silver', NULL, 1896, 2),
    ('Summer', 'Silver', NULL, 11220, 2),
    ('Summer', 'NA', 'M', 138463, 3),
    ('Summer', 'Gold', 'M', 8319, 3),
    ('Winter', 'NA', 'F', 13268, 3),
    ('Winter', 'NA', 'M', 29601, 3),
    ('Summer', 'NA', 'F', 50001, 3),
    ('Summer', 'Bronze', 'M', 8235, 3),
    ('Winter', 'Bronze', 'M', 1289, 3),
    ('Winter', 'Gold', 'M', 1306, 3),
    ('Winter', 'Silver', 'M', 1289, 3),
    ('Summer', 'Gold', 'F', 3140, 3),
    ('Summer', 'Silver', 'M', 8092, 3),
    ('Summer', 'Bronze', 'F', 3174, 3),
    ('Summer', 'Silver', 'F', 3128, 3),
    ('Winter', 'Bronze', 'F', 597, 3),
    ('Winter', 'Gold', 'F', 607, 3),
    ('Winter', 'Silver', 'F', 607, 3);

# Calculate the max at the level Depth=1 and add to every row
statement ok
PRAGMA default_null_order='NULLS LAST';

query IIIIII
SELECT *, max(Ct) FILTER (WHERE Depth=1) OVER (PARTITION BY Season) as value_depth1 
from issue7353
order by all;
----
Summer	Bronze	F	3174	3	222552
Summer	Bronze	M	8235	3	222552
Summer	Bronze	NULL	11409	2	222552
Summer	Gold	F	3140	3	222552
Summer	Gold	M	8319	3	222552
Summer	Gold	NULL	11459	2	222552
Summer	NA	F	50001	3	222552
Summer	NA	M	138463	3	222552
Summer	NA	NULL	188464	2	222552
Summer	Silver	F	3128	3	222552
Summer	Silver	M	8092	3	222552
Summer	Silver	NULL	11220	2	222552
Summer	NULL	NULL	222552	1	222552
Winter	Bronze	F	597	3	48564
Winter	Bronze	M	1289	3	48564
Winter	Bronze	NULL	1886	2	48564
Winter	Gold	F	607	3	48564
Winter	Gold	M	1306	3	48564
Winter	Gold	NULL	1913	2	48564
Winter	NA	F	13268	3	48564
Winter	NA	M	29601	3	48564
Winter	NA	NULL	42869	2	48564
Winter	Silver	F	607	3	48564
Winter	Silver	M	1289	3	48564
Winter	Silver	NULL	1896	2	48564
Winter	NULL	NULL	48564	1	48564
NULL	NULL	NULL	271116	0	NULL

# Test ORDER BY handling
query III
SELECT 
	i // 10 AS p,
	i,
	STRING_AGG(i, ',' ORDER BY i DESC) OVER(PARTITION BY p) AS c
FROM range(20) tbl(i)
ORDER BY ALL
----
0	0	9,8,7,6,5,4,3,2,1,0
0	1	9,8,7,6,5,4,3,2,1,0
0	2	9,8,7,6,5,4,3,2,1,0
0	3	9,8,7,6,5,4,3,2,1,0
0	4	9,8,7,6,5,4,3,2,1,0
0	5	9,8,7,6,5,4,3,2,1,0
0	6	9,8,7,6,5,4,3,2,1,0
0	7	9,8,7,6,5,4,3,2,1,0
0	8	9,8,7,6,5,4,3,2,1,0
0	9	9,8,7,6,5,4,3,2,1,0
1	10	19,18,17,16,15,14,13,12,11,10
1	11	19,18,17,16,15,14,13,12,11,10
1	12	19,18,17,16,15,14,13,12,11,10
1	13	19,18,17,16,15,14,13,12,11,10
1	14	19,18,17,16,15,14,13,12,11,10
1	15	19,18,17,16,15,14,13,12,11,10
1	16	19,18,17,16,15,14,13,12,11,10
1	17	19,18,17,16,15,14,13,12,11,10
1	18	19,18,17,16,15,14,13,12,11,10
1	19	19,18,17,16,15,14,13,12,11,10

# Test hash group with two partitions and blocks
statement ok
pragma threads=2

loop i 0 20

query III
with table_1 AS (
    SELECT
        'fb30cf47-6f6b-42ef-dec2-3f984479a2aa'::uuid    AS id,
        unnest(generate_series(
            '2024-04-01'::date,
            '2025-03-01'::date,
            interval '1 month'
        ))                                              AS date
    UNION ALL BY NAME
    SELECT
        '7d1cc557-2d45-6900-a1ed-b2c64f5d9200'::uuid    AS id,
        unnest(generate_series(
            '2024-02-01'::date,
            '2025-01-01'::date,
            interval '1 month'
        ))                                              AS date
), table_2 AS (
    SELECT
        'fb30cf47-6f6b-42ef-dec2-3f984479a2aa'::uuid    AS id,
        unnest(generate_series(
            '2024-04-01'::date,
            '2025-03-01'::date,
            interval '1 month'
        ))                                              AS date,
        1                                               AS value
    UNION ALL BY NAME
    SELECT
        '7d1cc557-2d45-6900-a1ed-b2c64f5d9200'::uuid    AS id,
        unnest(generate_series(
            '2022-12-01'::date,
            '2023-12-01'::date,
            interval '1 month'
        ))                                              AS date,
        1                                               AS value
), output AS (
    SELECT
        table_1.id,
        table_1.date,
        sum(table_2.value) over (
            PARTITION BY table_1.id
            ORDER BY table_1.date ASC
            ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
        ) AS test_sum,
    FROM table_1
    LEFT JOIN table_2
        ON table_1.id = table_2.id
        AND table_1.date = table_2.date
)
SELECT * FROM output
ORDER BY id DESC, date DESC;
----
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2025-03-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2025-02-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2025-01-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-12-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-11-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-10-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-09-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-08-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-07-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-06-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-05-01 00:00:00	12
fb30cf47-6f6b-42ef-dec2-3f984479a2aa	2024-04-01 00:00:00	12
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2025-01-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-12-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-11-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-10-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-09-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-08-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-07-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-06-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-05-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-04-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-03-01 00:00:00	NULL
7d1cc557-2d45-6900-a1ed-b2c64f5d9200	2024-02-01 00:00:00	NULL

endloop

# Test implicit ordering for aggregates
loop i 0 20

query I
with repro2 AS (
	SELECT range // 59 AS id, random() AS value
	FROM range(1475)
), X AS (
	SELECT
		list(value) OVER (
			PARTITION BY id 
			ORDER BY value 
			ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
			) AS values
	FROM repro2
)
select count(*) 
from X 
where values[1] != list_aggregate(values, 'min')
----
0

endloop