-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathbenchmark_std_proxy.py
More file actions
264 lines (208 loc) · 6.46 KB
/
benchmark_std_proxy.py
File metadata and controls
264 lines (208 loc) · 6.46 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
"""Logging benchmarks for containerlog's proxy for the standard logger."""
import io
import pyperf
import containerlog.proxy.std
from containerlog import contextvars as logctx
class Custom:
def __init__(self):
self.val = 1
def __repr__(self):
return self.__str__()
def __str__(self):
return f"<Custom Object: {self.val}>"
MSG_BASIC = "some message to log"
MSG_FORMAT_SHORT_SIMPLE = "a formatted message str=%s"
MSG_FORMAT_LONG_SIMPLE = "a formatted message bool=%s str=%s int=%d float=%d"
MSG_FORMAT_SHORT_COMPLEX = "a formatted message obj=%s"
MSG_FORMAT_LONG_COMPLEX = "a formatted message obj=%s list=%s dict=%s tuple=%s"
SHORT_ARGS_SIMPLE = ["example"]
LONG_ARGS_SIMPLE = [True, "example", 10, 0.131]
SHORT_ARGS_COMPLEX = [Custom()]
LONG_ARGS_COMPLEX = [
Custom(),
[Custom(), Custom()],
{"a": Custom(), "b": Custom},
(Custom(), Custom()),
]
def bench_baseline(loops, logger):
# use fast local vars
range_loops = range(loops)
t0 = pyperf.perf_counter()
for _ in range_loops:
# pass-through: do nothing to get a baseline
pass
return pyperf.perf_counter() - t0
def bench_silent(loops, logger):
# use fast local vars
m = MSG_BASIC
range_loops = range(loops)
t0 = pyperf.perf_counter()
for _ in range_loops:
logger.debug(m)
logger.debug(m)
logger.debug(m)
logger.debug(m)
logger.debug(m)
logger.debug(m)
logger.debug(m)
logger.debug(m)
logger.debug(m)
logger.debug(m)
return pyperf.perf_counter() - t0
def bench_basic(loops, logger):
# use fast local vars
m = MSG_BASIC
range_loops = range(loops)
t0 = pyperf.perf_counter()
for _ in range_loops:
logger.warning(m)
logger.warning(m)
logger.warning(m)
logger.warning(m)
logger.warning(m)
logger.warning(m)
logger.warning(m)
logger.warning(m)
logger.warning(m)
logger.warning(m)
return pyperf.perf_counter() - t0
def bench_short_simple(loops, logger):
# use fast local vars
m = MSG_FORMAT_SHORT_SIMPLE
args = SHORT_ARGS_SIMPLE
range_loops = range(loops)
t0 = pyperf.perf_counter()
for _ in range_loops:
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
return pyperf.perf_counter() - t0
def bench_long_simple(loops, logger):
# use fast local vars
m = MSG_FORMAT_LONG_SIMPLE
args = LONG_ARGS_SIMPLE
range_loops = range(loops)
t0 = pyperf.perf_counter()
for _ in range_loops:
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
return pyperf.perf_counter() - t0
def bench_short_complex(loops, logger):
# use fast local vars
m = MSG_FORMAT_SHORT_COMPLEX
args = SHORT_ARGS_COMPLEX
range_loops = range(loops)
t0 = pyperf.perf_counter()
for _ in range_loops:
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
return pyperf.perf_counter() - t0
def bench_long_complex(loops, logger):
# use fast local vars
m = MSG_FORMAT_LONG_COMPLEX
args = LONG_ARGS_COMPLEX
range_loops = range(loops)
t0 = pyperf.perf_counter()
for _ in range_loops:
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
return pyperf.perf_counter() - t0
def bench_exception(loops, logger):
# use fast local vars
m = MSG_BASIC
range_loops = range(loops)
t0 = pyperf.perf_counter()
for _ in range_loops:
logger.exception(m)
logger.exception(m)
logger.exception(m)
logger.exception(m)
logger.exception(m)
logger.exception(m)
logger.exception(m)
logger.exception(m)
logger.exception(m)
logger.exception(m)
return pyperf.perf_counter() - t0
def bench_async_context(loops, logger):
# use fast local vars
m = MSG_FORMAT_LONG_SIMPLE
args = LONG_ARGS_SIMPLE
range_loops = range(loops)
t0 = pyperf.perf_counter()
logctx.bind(testing=True, value="foo")
for _ in range_loops:
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logger.warning(m, *args)
logctx.clear()
return pyperf.perf_counter() - t0
BENCHMARKS = {
"baseline": bench_baseline,
"silent": bench_silent,
"basic": bench_basic,
"short-simple": bench_short_simple,
"long-simple": bench_long_simple,
"short-complex": bench_short_complex,
"long-complex": bench_long_complex,
"exception": bench_exception,
"async-context": bench_async_context,
}
if __name__ == "__main__":
runner = pyperf.Runner()
runner.metadata["description"] = "Test the performance of Python standard logger."
# Note: StringIO performance will impact the results
stream = io.StringIO()
# Setup the logger
proxy_log = containerlog.proxy.std.StdLoggerProxy("bench-std-proxy")
proxy_log.level = containerlog.WARN
proxy_log.writeout = stream.write
proxy_log.writeerr = stream.write
for name, fn in BENCHMARKS.items():
# Truncate the stream before each benchmark.
stream.seek(0)
stream.truncate()
runner.bench_time_func(
name,
fn,
proxy_log,
inner_loops=25,
)