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
|
# Copyright (c) 2016 Uber Technologies, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import time
from opentracing import Tracer as NoopTracer
from jaeger_client.tracer import Tracer
from jaeger_client.reporter import NullReporter
from jaeger_client.sampler import ConstSampler
def _generate_spans(tracer, iterations=1000, sleep=None):
for i in range(0, iterations):
span = tracer.start_trace(operation_name='root-span')
span.finish()
if sleep is not None:
t = time.time() + sleep
while time.time() < t:
pass
def test_noop_tracer(benchmark):
tracer = NoopTracer()
benchmark(_generate_spans, tracer)
def test_no_sampling(benchmark):
tracer = Tracer.default_tracer(
channel=None, service_name='benchmark',
reporter=NullReporter(), sampler=ConstSampler(False))
benchmark(_generate_spans, tracer)
def test_100pct_sampling(benchmark):
tracer = Tracer.default_tracer(
channel=None, service_name='benchmark',
reporter=NullReporter(), sampler=ConstSampler(True))
benchmark(_generate_spans, tracer)
def test_100pct_sampling_250mcs(benchmark):
tracer = Tracer.default_tracer(
channel=None, service_name='benchmark',
reporter=NullReporter(), sampler=ConstSampler(True))
# 250 micros for request execution
benchmark(_generate_spans, tracer, sleep=0.00025)
def test_all_batched_size10(benchmark):
from tchannel.sync import TChannel
ch = TChannel(name='foo')
f = ch.advertise(routers=['127.0.0.1:21300', '127.0.0.1:21301'])
f.result()
tracer = Tracer.default_tracer(ch, service_name='benchmark',
sampler=ConstSampler(True))
tracer.reporter.batch_size = 10
# 250 micros for request execution
benchmark(_generate_spans, tracer, sleep=0.00025)
def test_all_batched_size5(benchmark):
from tchannel.sync import TChannel
ch = TChannel(name='foo')
f = ch.advertise(routers=['127.0.0.1:21300', '127.0.0.1:21301'])
f.result()
tracer = Tracer.default_tracer(ch, service_name='benchmark',
sampler=ConstSampler(True))
tracer.reporter.batch_size = 5
# 250 micros for request execution
benchmark(_generate_spans, tracer, sleep=0.00025)
def test_all_not_batched(benchmark):
from tchannel.sync import TChannel
ch = TChannel(name='foo')
f = ch.advertise(routers=['127.0.0.1:21300', '127.0.0.1:21301'])
f.result()
tracer = Tracer.default_tracer(ch, service_name='benchmark', sampler=ConstSampler(True))
tracer.reporter.batch_size = 1
# 250 micros for request execution
benchmark(_generate_spans, tracer, sleep=0.00025)
|
