Repository navigation
Expand file tree
/
Copy pathpgbench_python.py
More file actions
executable file
·530 lines (426 loc) · 15.3 KB
/
Copy pathpgbench_python.py
File metadata and controls
executable file
·530 lines (426 loc) · 15.3 KB
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
#!/usr/bin/env python3
#
# Copyright (c) 2016 MagicStack Inc.
# All rights reserved.
#
# See LICENSE for details.
##
import argparse
import asyncio
import csv
import io
import itertools
import json
import re
import sys
import time
from concurrent import futures
import aiopg
import asyncpg
import numpy as np
import postgresql
import psycopg
import psycopg2
import psycopg2.extras
import uvloop
def _chunks(iterable, n):
i = 0
def _ctr(_):
nonlocal i
k = i // n
i += 1
return k
for _, g in itertools.groupby(iterable, _ctr):
yield g
def psycopg_connect(args):
conn = psycopg.connect(user=args.pguser, host=args.pghost,
port=args.pgport)
return conn
def psycopg2_connect(args):
conn = psycopg2.connect(user=args.pguser, host=args.pghost,
port=args.pgport)
return conn
def psycopg2_execute(conn, query, args):
cur = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
cur.execute(query, args)
return len(cur.fetchall())
def psycopg_execute(conn, query, args):
cur = conn.cursor(row_factory=psycopg.rows.dict_row)
cur.execute(query, args)
return len(cur.fetchall())
def psycopg2_copy(conn, query, args):
rows, copy = args[:2]
f = io.StringIO()
writer = csv.writer(f, delimiter='\t')
for row in rows:
writer.writerow(row)
f.seek(0)
cur = conn.cursor()
cur.copy_from(f, copy['table'], columns=copy['columns'])
conn.commit()
return cur.rowcount
def psycopg_copy(conn, query, args):
rows, copy = args[:2]
f = io.StringIO()
writer = csv.writer(f, delimiter='\t')
for row in rows:
writer.writerow(row)
f.seek(0)
with conn.cursor() as cur:
with cur.copy(query) as copy:
copy.write(f.read())
conn.commit()
return cur.rowcount
def psycopg2_executemany(conn, query, args):
cur = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
cur.executemany(query, args)
return len(args)
def psycopg_executemany(conn, query, args):
with conn.cursor() as cur:
cur.executemany(query, args)
return len(args)
def pypostgresql_connect(args):
conn = postgresql.open(user=args.pguser, host=args.pghost,
port=args.pgport)
return conn
def pypostgresql_execute(conn, query, args):
stmt = conn.prepare(query)
return len(list(stmt.rows(*args)))
async def aiopg_connect(args):
conn = await aiopg.connect(user=args.pguser, host=args.pghost,
port=args.pgport)
return conn
async def aiopg_execute(conn, query, args):
cur = await conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
await cur.execute(query, args)
rv = len(await cur.fetchall())
cur.close()
return rv
async def _aiopg_executemany(cursor, query, rows):
for batch in _chunks(rows, n=100):
sqls = [cursor.mogrify(query, args) for args in batch]
await cursor.execute(b";".join(sqls))
return len(rows)
async def aiopg_executemany(conn, query, rows):
cur = await conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
rv = await _aiopg_executemany(cur, query, rows)
cur.close()
return rv
aiopg_tuples_connect = aiopg_connect
async def aiopg_tuples_execute(conn, query, args):
cur = await conn.cursor()
await cur.execute(query, args)
rv = len(await cur.fetchall())
cur.close()
return rv
async def aiopg_tuples_executemany(conn, query, rows):
cur = await conn.cursor()
rv = await _aiopg_executemany(cur, query, rows)
cur.close()
return rv
async def asyncpg_connect(args):
conn = await asyncpg.connect(user=args.pguser, host=args.pghost,
port=args.pgport)
return conn
async def async_psycopg_connect(args):
conn = await psycopg.AsyncConnection.connect(
user=args.pguser, host=args.pghost, port=args.pgport)
return conn
async def asyncpg_execute(conn, query, args):
return len(await conn.fetch(query, *args))
async def async_psycopg_execute(conn, query, args):
cur = conn.cursor(row_factory=psycopg.rows.dict_row)
await cur.execute(query, args)
return len(await cur.fetchall())
async def asyncpg_executemany(conn, query, args):
await conn.executemany(query, args)
return len(args)
async def async_psycopg_executemany(conn, query, args):
async with conn.cursor() as cur:
await cur.executemany(query, args)
return len(args)
async def asyncpg_copy(conn, query, args):
rows, copy = args[:2]
result = await conn.copy_records_to_table(
copy['table'], columns=copy['columns'], records=rows)
cmd, _, count = result.rpartition(' ')
return int(count)
async def async_psycopg_copy(conn, query, args):
rows, copy = args[:2]
f = io.StringIO()
writer = csv.writer(f, delimiter='\t')
for row in rows:
writer.writerow(row)
f.seek(0)
async with conn.cursor() as cur:
async with cur.copy(query) as copy:
await copy.write(f.read())
await conn.commit()
return cur.rowcount
async def worker(executor, eargs, start, duration, timeout):
queries = 0
rows = 0
latency_stats = np.zeros((timeout * 100,))
min_latency = float('inf')
max_latency = 0.0
while time.monotonic() - start < duration:
req_start = time.monotonic()
rows += await executor(*eargs)
req_time = round((time.monotonic() - req_start) * 1000 * 100)
if req_time > max_latency:
max_latency = req_time
if req_time < min_latency:
min_latency = req_time
latency_stats[req_time] += 1
queries += 1
return queries, rows, latency_stats, min_latency, max_latency
def sync_worker(executor, eargs, start, duration, timeout):
queries = 0
rows = 0
latency_stats = np.zeros((timeout * 100,))
min_latency = float('inf')
max_latency = 0.0
while time.monotonic() - start < duration:
req_start = time.monotonic()
rows += executor(*eargs)
req_time = round((time.monotonic() - req_start) * 1000 * 100)
if req_time > max_latency:
max_latency = req_time
if req_time < min_latency:
min_latency = req_time
latency_stats[req_time] += 1
queries += 1
return queries, rows, latency_stats, min_latency, max_latency
async def runner(args, connector, executor, copy_executor, batch_executor,
is_async, arg_format, query, query_args, setup, teardown):
timeout = args.timeout * 1000
concurrency = args.concurrency
if arg_format == 'python':
query = re.sub(r'\$\d+', '%s', query)
is_copy = query.startswith('COPY ')
is_batch = query_args and isinstance(query_args[0], dict)
if is_copy:
if copy_executor is None:
raise RuntimeError('COPY is not supported for {}'.format(executor))
executor = copy_executor
match = re.match('COPY (\w+)\s*\(\s*((?:\w+)(?:,\s*\w+)*)\s*\)', query)
if not match:
raise RuntimeError('could not parse COPY query')
query_info = query_args[0]
query_args[0] = [query_info['row']] * query_info['count']
query_args.append({
'table': match.group(1),
'columns': [col.strip() for col in match.group(2).split(',')]
})
elif is_batch:
if batch_executor is None:
raise RuntimeError('batch is not supported for {}'.format(executor))
executor = batch_executor
query_info = query_args[0]
query_args = [query_info['row']] * query_info['count']
conns = []
for i in range(concurrency):
if is_async:
conn = await connector(args)
else:
conn = connector(args)
conns.append(conn)
async def _do_run(run_duration):
start = time.monotonic()
tasks = []
if is_async:
# Asyncio driver
for i in range(concurrency):
task = worker(executor, [conns[i], query, query_args],
start, run_duration, timeout)
tasks.append(task)
results = await asyncio.gather(*tasks)
else:
# Sync driver
with futures.ThreadPoolExecutor(max_workers=concurrency) as e:
for i in range(concurrency):
task = e.submit(sync_worker, executor,
[conns[i], query, query_args],
start, run_duration, timeout)
tasks.append(task)
results = [fut.result() for fut in futures.wait(tasks).done]
end = time.monotonic()
return results, end - start
if setup:
admin_conn = await asyncpg.connect(user=args.pguser, host=args.pghost,
port=args.pgport)
await admin_conn.execute(setup)
try:
try:
if args.warmup_time:
await _do_run(args.warmup_time)
results, duration = await _do_run(args.duration)
finally:
for conn in conns:
if is_async:
await conn.close()
else:
conn.close()
min_latency = float('inf')
max_latency = 0.0
queries = 0
rows = 0
latency_stats = None
for result in results:
t_queries, t_rows, t_latency_stats, t_min_latency, t_max_latency =\
result
queries += t_queries
rows += t_rows
if latency_stats is None:
latency_stats = t_latency_stats
else:
latency_stats = np.add(latency_stats, t_latency_stats)
if t_max_latency > max_latency:
max_latency = t_max_latency
if t_min_latency < min_latency:
min_latency = t_min_latency
if is_copy:
copyargs = query_args[-1]
rowcount = await admin_conn.fetchval('''
SELECT
count(*)
FROM
"{tabname}"
'''.format(tabname=copyargs['table']))
print(rowcount, file=sys.stderr)
if rowcount < len(query_args[0]) * queries:
raise RuntimeError(
'COPY did not insert the expected number of rows')
data = {
'queries': queries,
'rows': rows,
'duration': duration,
'min_latency': min_latency,
'max_latency': max_latency,
'latency_stats': latency_stats.tolist(),
'output_format': args.output_format
}
finally:
if teardown:
await admin_conn.execute(teardown)
print(json.dumps(data))
def die(msg):
print('fatal: {}'.format(msg), file=sys.stderr)
sys.exit(1)
if __name__ == '__main__':
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
loop = asyncio.get_event_loop()
parser = argparse.ArgumentParser(
description='async pg driver benchmark [concurrent]')
parser.add_argument(
'-C', '--concurrency', type=int, default=10,
help='number of concurrent connections')
parser.add_argument(
'-D', '--duration', type=int, default=30,
help='duration of test in seconds')
parser.add_argument(
'--timeout', default=2, type=int,
help='server timeout in seconds')
parser.add_argument(
'--warmup-time', type=int, default=5,
help='duration of warmup period for each benchmark in seconds')
parser.add_argument(
'--output-format', default='text', type=str,
help='output format', choices=['text', 'json'])
parser.add_argument(
'--pghost', type=str, default='127.0.0.1',
help='PostgreSQL server host')
parser.add_argument(
'--pgport', type=int, default=5432,
help='PostgreSQL server port')
parser.add_argument(
'--pguser', type=str, default='postgres',
help='PostgreSQL server user')
parser.add_argument(
'driver', help='driver implementation to use',
choices=[
'aiopg',
'aiopg-tuples',
'asyncpg',
'psycopg2',
'psycopg3',
'psycopg3-async',
'postgresql'
],
)
parser.add_argument(
'queryfile', help='file to read benchmark query information from')
args = parser.parse_args()
if args.queryfile == '-':
querydata_text = sys.stdin.read()
else:
with open(args.queryfile, 'rt') as f:
querydata_text = f.read()
querydata = json.loads(querydata_text)
query = querydata.get('query')
if not query:
die('missing "query" in query JSON')
query_args = querydata.get('args')
if not query_args:
query_args = []
setup = querydata.get('setup')
teardown = querydata.get('teardown')
if setup and not teardown:
die('"setup" is present, but "teardown" is missing in query JSON')
copy_executor = None
batch_executor = None
if args.driver == 'aiopg':
if query.startswith('COPY '):
connector, executor, copy_executor = \
psycopg_connect, psycopg_execute, psycopg_copy
is_async = False
else:
connector, executor, batch_executor = \
aiopg_connect, aiopg_execute, aiopg_executemany
is_async = True
arg_format = 'python'
elif args.driver == 'aiopg-tuples':
if query.startswith('COPY '):
connector, executor, copy_executor = \
psycopg_connect, psycopg_execute, psycopg_copy
is_async = False
else:
connector, executor, batch_executor = \
aiopg_tuples_connect, aiopg_tuples_execute, \
aiopg_tuples_executemany
is_async = True
arg_format = 'python'
elif args.driver == 'asyncpg':
connector, executor, copy_executor, batch_executor = \
asyncpg_connect, asyncpg_execute, asyncpg_copy, asyncpg_executemany
is_async = True
arg_format = 'native'
elif args.driver == 'psycopg2':
connector, executor, copy_executor, batch_executor = (
psycopg2_connect, psycopg2_execute,
psycopg2_copy, psycopg2_executemany,
)
is_async = False
arg_format = 'python'
elif args.driver == 'psycopg3':
connector, executor, copy_executor, batch_executor = \
psycopg_connect, psycopg_execute, psycopg_copy, psycopg_executemany
is_async = False
arg_format = 'python'
elif args.driver == 'psycopg3-async':
connector, executor, copy_executor, batch_executor = (
async_psycopg_connect, async_psycopg_execute,
async_psycopg_copy, async_psycopg_executemany,
)
is_async = True
arg_format = 'python'
elif args.driver == 'postgresql':
connector, executor = pypostgresql_connect, pypostgresql_execute
is_async = False
arg_format = 'native'
else:
raise ValueError('unexpected driver: {!r}'.format(args.driver))
runner_coro = runner(args, connector, executor, copy_executor,
batch_executor, is_async,
arg_format, query, query_args, setup, teardown)
loop.run_until_complete(runner_coro)