-
-
Notifications
You must be signed in to change notification settings - Fork 46
/
Copy pathtest_select.py
573 lines (489 loc) · 20.1 KB
/
test_select.py
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
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
import asyncio
import functools
import random
import time
import math
import re
from testing import Client
from testing import default_test_setup
from testing import gen_data
from testing import gen_points
from testing import gen_series
from testing import InsertError
from testing import PoolError
from testing import QueryError
from testing import run_test
from testing import Series
from testing import Server
from testing import ServerError
from testing import SiriDB
from testing import TestBase
from testing import UserAuthError
from testing import parse_args
LENPOINTS = 70
DATA = {
'series-001 float': [
[1471254707, -3.5],
[1471254705, 1.5],
[1471254710, -7.3]],
'series-001 integer': [
[1471254705, 5],
[1471254710, -7],
[1471254708, -3]],
'series-002 float': [
[1471254710, -8.3],
[1471254705, 3.5],
[1471254707, -2.5]],
'series-002 integer': [
[1471254705, 4],
[1471254708, -1],
[1471254710, -8]],
'aggr': [
[1447250868, 530], [1447251168, 520],
[1447249033, 531], [1447249337, 534],
[1447249633, 535], [1447249937, 531],
[1447250249, 532], [1447250549, 537],
[1447251449, 54], [1447251749, 54],
[1447252049, 513], [1447252349, 537],
[1447253244, 533], [1447253549, 538],
[1447253849, 534], [1447254149, 532],
[1447252649, 528], [1447252968, 531],
[1447254449, 533], [1447254748, 537]],
'huge': [
[1471254705, 9223372036854775807],
[1471254706, 9223372036854775806],
[1471254707, 9223372036854775805],
[1471254708, 9223372036854775804]],
'equal ts': [
[1471254705, 0], [1471254705, 1], [1471254705, 1],
[1471254707, 0], [1471254707, 1], [1471254708, 0],
],
'variance': [
[1471254705, 2.75], [1471254706, 1.75], [1471254707, 1.25],
[1471254708, 0.25], [1471254709, 0.5], [1471254710, 1.25],
[1471254711, 3.5]
],
'pvariance': [
[1471254705, 0.0], [1471254706, 0.25], [1471254707, 0.25],
[1471254708, 1.25], [1471254709, 1.5], [1471254710, 1.75],
[1471254711, 2.75], [1471254712, 3.25]
],
'filter': [
[1471254705, 5],
[1471254710, -3],
[1471254715, -7],
[1471254720, 7]
],
'one': [
[1471254710, 1]
],
'log': [
[1471254710, 'log line one'],
[1471254712, 'log line two'],
[1471254714, 'another line (three)'],
[1471254716, 'and yet one more'],
],
'special': [
[1471254705, 0.1],
[1471254706, math.nan],
[1471254707, math.inf],
[1471254708, -math.inf],
]
}
class TestSelect(TestBase):
title = 'Test select and aggregate functions'
@default_test_setup(1, compression=False, buffer_size=1024)
async def run(self):
await self.client0.connect()
self.assertEqual(
await self.client0.insert(DATA),
{'success_msg': 'Successfully inserted {} point(s).'.format(
LENPOINTS)})
for name in DATA:
DATA[name] = sorted(DATA[name])
self.assertEqual(
await self.client0.query(
'select difference() from "series-001 integer"'),
{'series-001 integer': [[1471254708, -8], [1471254710, -4]]})
self.assertEqual(
await self.client0.query(
'select difference() => difference() '
'from "series-001 integer"'),
{'series-001 integer': [[1471254710, 4]]})
self.assertEqual(
await self.client0.query(
'select difference() => difference() => difference() '
'from "series-001 integer"'),
{'series-001 integer': []})
now = int(time.time())
self.assertEqual(
await self.client0.query(
'select difference({}) from "series-001 integer"'.format(now)),
{'series-001 integer': [[now, -12]]})
now = int(time.time())
self.assertEqual(
await self.client0.query(
'select difference({}) from "series-001 integer"'.format(now)),
{'series-001 integer': [[now, -12]]})
self.assertEqual(
await self.client0.query(
'select * from /series-001.*/ '
'merge as "median_low" using median_low({})'
.format(now)),
{'median_low': [[now, -3.5]]})
self.assertEqual(
await self.client0.query(
'select * from /series-001.*/ '
'merge as "median_high" using median_high({})'
.format(now)),
{'median_high': [[now, -3.0]]})
self.assertEqual(
await self.client0.query(
'select * from /series.*/ '
'merge as "max" using max(1s)'),
{'max': [
[1471254705, 5.0],
[1471254707, -2.5],
[1471254708, -1.0],
[1471254710, -7.0]
]})
# Test all aggregation methods
self.assertEqual(
await self.client0.query('select sum(1h) from "aggr"'),
{'aggr': [
[1447250400, 2663], [1447254000, 5409], [1447257600, 1602]]})
self.assertEqual(
await self.client0.query('select count(1h) from "aggr"'),
{'aggr': [[1447250400, 5], [1447254000, 12], [1447257600, 3]]})
self.assertEqual(
await self.client0.query('select mean(1h) from "aggr"'),
{'aggr': [
[1447250400, 532.6],
[1447254000, 450.75],
[1447257600, 534.0]]})
self.assertEqual(
await self.client0.query('select median(1h) from "aggr"'),
{'aggr': [
[1447250400, 532.0],
[1447254000, 530.5],
[1447257600, 533.0]]})
self.assertEqual(
await self.client0.query('select median_low(1h) from "aggr"'),
{'aggr': [
[1447250400, 532], [1447254000, 530], [1447257600, 533]]})
self.assertEqual(
await self.client0.query('select median_high(1h) from "aggr"'),
{'aggr': [
[1447250400, 532], [1447254000, 531], [1447257600, 533]]})
self.assertEqual(
await self.client0.query('select min(1h) from "aggr"'),
{'aggr': [[1447250400, 531], [1447254000, 54], [1447257600, 532]]})
self.assertEqual(
await self.client0.query('select max(1h) from "aggr"'),
{'aggr': [
[1447250400, 535], [1447254000, 538], [1447257600, 537]]})
self.assertAlmostEqual(
await self.client0.query('select variance(1h) from "aggr"'),
{'aggr': [
[1447250400, 3.3],
[1447254000, 34396.931818181816],
[1447257600, 7.0]]})
self.assertAlmostEqual(
await self.client0.query('select pvariance(1h) from "aggr"'),
{'aggr': [
[1447250400, 2.6399999999999997],
[1447254000, 31530.520833333332],
[1447257600, 4.666666666666667]]})
self.assertEqual(
await self.client0.query('select * from ({}) - ("a", "b")'.format(
','.join(['"aggr"'] * 600)
)),
{'aggr': DATA['aggr']}
)
self.assertEqual(
await self.client0.query('select difference(1h) from "aggr"'),
{'aggr': [[1447250400, 1], [1447254000, -3], [1447257600, 5]]})
self.assertAlmostEqual(
await self.client0.query('select derivative(1, 1h) from "aggr"'),
{'aggr': [
[1447250400, 0.0002777777777777778],
[1447254000, -0.0008333333333333333],
[1447257600, 0.001388888888888889]]})
self.assertEqual(
await self.client0.query('select filter(>534) from "aggr"'),
{'aggr': [
[1447249633, 535],
[1447250549, 537],
[1447252349, 537],
[1447253549, 538],
[1447254748, 537]]})
self.assertEqual(
await self.client0.query(
'select filter(/l.*/) from * where type == string'),
{'log': [p for p in DATA['log'] if re.match('l.*', p[1])]})
self.assertEqual(
await self.client0.query(
'select filter(==/l.*/) from * where type == string'),
{'log': [p for p in DATA['log'] if re.match('l.*', p[1])]})
self.assertEqual(
await self.client0.query(
'select filter(!=/l.*/) from * where type == string'),
{'log': [p for p in DATA['log'] if not re.match('l.*', p[1])]})
self.assertEqual(
await self.client0.query('select limit(300, mean) from "aggr"'),
{'aggr': DATA['aggr']})
self.assertEqual(
await self.client0.query('select limit(1, sum) from "aggr"'),
{'aggr': [[1447254748, 9674]]})
self.assertEqual(
await self.client0.query('select limit(3, mean) from "aggr"'),
{'aggr': [
[1447250938, 532.8571428571429],
[1447252844, 367.6666666666667],
[1447254750, 534.0]]})
self.assertEqual(
await self.client0.query(
'select limit(2, max) from "series-001 float"'),
{'series-001 float': [[1471254707, 1.5], [1471254713, -7.3]]})
self.assertAlmostEqual(
await self.client0.query(
'select variance(1471254712) from "variance"'),
{'variance': [[1471254712, 1.3720238095238095]]})
self.assertAlmostEqual(
await self.client0.query(
'select pvariance(1471254715) from "pvariance"'),
{'pvariance': [[1471254715, 1.25]]})
self.assertEqual(
await self.client0.query('select * from "one"'),
{'one': [[1471254710, 1]]})
self.assertEqual(
await self.client0.query('select * from "log"'),
{'log': DATA['log']})
self.assertEqual(
await self.client0.query(
'select filter(~"log") => filter(!~"one") from "log"'),
{'log': [DATA['log'][1]]})
self.assertEqual(
await self.client0.query(
'select filter(!=nan) from "special"'),
{'special': [p for p in DATA['special'] if not math.isnan(p[1])]})
self.assertAlmostEqual(
await self.client0.query(
'select filter(==nan) from "special"'),
{'special': [p for p in DATA['special'] if math.isnan(p[1])]})
self.assertAlmostEqual(
await self.client0.query(
'select filter(>=nan) from "special"'),
{'special': [p for p in DATA['special'] if math.isnan(p[1])]})
self.assertAlmostEqual(
await self.client0.query(
'select filter(<=nan) from "special"'),
{'special': [p for p in DATA['special'] if math.isnan(p[1])]})
self.assertEqual(
await self.client0.query(
'select filter(==inf) from "special"'),
{'special': [p for p in DATA['special'] if p[1] == math.inf]})
self.assertAlmostEqual(
await self.client0.query(
'select filter(<inf) from "special"'),
{'special': [p for p in DATA['special'] if p[1] < math.inf]})
self.assertAlmostEqual(
await self.client0.query(
'select filter(>inf) from "special"'),
{'special': []})
self.assertEqual(
await self.client0.query(
'select filter(==-inf) from "special"'),
{'special': [p for p in DATA['special'] if p[1] == -math.inf]})
self.assertAlmostEqual(
await self.client0.query(
'select filter(>-inf) from "special"'),
{'special': [p for p in DATA['special'] if p[1] > -math.inf]})
self.assertAlmostEqual(
await self.client0.query(
'select filter(<-inf) from "special"'),
{'special': []})
self.assertEqual(
await self.client0.query(
'select filter(~"one") prefix "1-", '
'filter(~"two") prefix "2-" from "log"'),
{
'1-log': [
[1471254710, 'log line one'],
[1471254716, 'and yet one more']],
'2-log': [[1471254712, 'log line two']]
})
self.assertEqual(
await self.client0.query('select timeval() from "aggr"'),
{'aggr': [
[1447249033, 1447249033],
[1447249337, 1447249337],
[1447249633, 1447249633],
[1447249937, 1447249937],
[1447250249, 1447250249],
[1447250549, 1447250549],
[1447250868, 1447250868],
[1447251168, 1447251168],
[1447251449, 1447251449],
[1447251749, 1447251749],
[1447252049, 1447252049],
[1447252349, 1447252349],
[1447252649, 1447252649],
[1447252968, 1447252968],
[1447253244, 1447253244],
[1447253549, 1447253549],
[1447253849, 1447253849],
[1447254149, 1447254149],
[1447254449, 1447254449],
[1447254748, 1447254748]]})
self.assertEqual(
await self.client0.query('select interval() from "aggr"'),
{'aggr': [
[1447249337, 304],
[1447249633, 296],
[1447249937, 304],
[1447250249, 312],
[1447250549, 300],
[1447250868, 319],
[1447251168, 300],
[1447251449, 281],
[1447251749, 300],
[1447252049, 300],
[1447252349, 300],
[1447252649, 300],
[1447252968, 319],
[1447253244, 276],
[1447253549, 305],
[1447253849, 300],
[1447254149, 300],
[1447254449, 300],
[1447254748, 299]]})
self.assertEqual(
await self.client0.query('select difference() from "one"'),
{'one': []})
with self.assertRaisesRegex(
QueryError,
'Regular expressions can only be used with.*'):
await self.client0.query('select filter(~//) from "log"')
with self.assertRaisesRegex(
QueryError,
'Cannot use a string filter on number type.'):
await self.client0.query('select filter(//) from "aggr"')
with self.assertRaisesRegex(
QueryError,
r'Cannot use mean\(\) on string type\.'):
await self.client0.query('select mean(1w) from "log"')
with self.assertRaisesRegex(
QueryError,
r'Group by time must be an integer value larger than zero\.'):
await self.client0.query('select mean(0) from "aggr"')
with self.assertRaisesRegex(
QueryError,
r'Limit must be an integer value larger than zero\.'):
await self.client0.query('select limit(6 - 6, mean) from "aggr"')
with self.assertRaisesRegex(
QueryError,
r'Cannot use a string filter on number type\.'):
await self.client0.query(
'select * from "aggr" '
'merge as "t" using filter("0")')
with self.assertRaisesRegex(
QueryError,
r'Cannot use difference\(\) on string type\.'):
await self.client0.query('select difference() from "log"')
with self.assertRaisesRegex(
QueryError,
r'Cannot use derivative\(\) on string type\.'):
await self.client0.query('select derivative(6, 3) from "log"')
with self.assertRaisesRegex(
QueryError,
r'Cannot use derivative\(\) on string type\.'):
await self.client0.query('select derivative() from "log"')
with self.assertRaisesRegex(
QueryError,
r'Overflow detected while using sum\(\)\.'):
await self.client0.query('select sum(now) from "huge"')
with self.assertRaisesRegex(
QueryError,
'Max depth reached in \'where\' expression!'):
await self.client0.query(
'select * from "aggr" where ((((((length > 1))))))')
with self.assertRaisesRegex(
QueryError,
'Cannot compile regular expression.*'):
await self.client0.query(
'select * from /(bla/')
with self.assertRaisesRegex(
QueryError,
'Memory allocation error or maximum recursion depth reached.'):
await self.client0.query(
'select * from {}"aggr"{}'.format(
'(' * 501,
')' * 501))
with self.assertRaisesRegex(
QueryError,
'Query too long.'):
await self.client0.query('select * from "{}"'.format('a' * 65535))
with self.assertRaisesRegex(
QueryError,
'Error while merging points. Make sure the destination '
'series name is valid.'):
await self.client0.query(
'select * from "aggr", "huge" merge as ""')
self.assertEqual(
await self.client0.query(
'select min(2h) prefix "min-", max(1h) prefix "max-" '
'from /.*/ where type == integer and name != "filter" '
'and name != "one" and name != "series-002 integer" '
'merge as "int_min_max" using median_low(1) => difference()'),
{
'max-int_min_max': [
[1447254000, 3], [1447257600, -1], [1471255200, -532]],
'min-int_min_max': [
[1447257600, -477], [1471255200, -54]]})
await self.client0.query('select derivative() from "equal ts"')
self.assertEqual(
await self.client0.query('select first() from *'),
{k: [v[0]] for k, v in DATA.items()})
self.assertEqual(
await self.client0.query('select last() from *'),
{k: [v[-1]] for k, v in DATA.items()})
self.assertEqual(
await self.client0.query('select count() from *'),
{k: [[v[-1][0], len(v)]] for k, v in DATA.items()})
self.assertEqual(
await self.client0.query('select mean() from "aggr"'),
{'aggr': [[
DATA['aggr'][-1][0],
sum([x[1] for x in DATA['aggr']]) / len(DATA['aggr'])]]})
self.assertAlmostEqual(
await self.client0.query('select stddev() from "aggr"'),
{'aggr': [[
DATA['aggr'][-1][0],
147.07108914792838]]})
self.assertAlmostEqual(
await self.client0.query('select stddev(1h) from "aggr"'),
{"aggr": [
[1447250400, 1.8165902124584952],
[1447254000, 185.46409846162092],
[1447257600, 2.6457513110645907]]})
# test prefix, suffex
result = await self.client0.query(
'select sum(1d) prefix "sum-" suffix "-sum", '
'min(1d) prefix "minimum-", '
'max(1d) suffix "-maximum" from "aggr"')
self.assertIn('sum-aggr-sum', result)
self.assertIn('minimum-aggr', result)
self.assertIn('aggr-maximum', result)
await self.client0.query('alter database set select_points_limit 10')
with self.assertRaisesRegex(
QueryError,
'Query has reached the maximum number of selected points.*'):
await self.client0.query(
'select * from /.*/')
await self.client0.query(
'alter database set select_points_limit 1000000')
self.client0.close()
if __name__ == '__main__':
parse_args()
run_test(TestSelect())