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
|
##############################################################################
# Copyright 2018 EuropeanSoftwareMarketingLtd.
# ===================================================================
# Licensed under the ApacheLicense, Version2.0 (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
#
# 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
##############################################################################
# vnftest comment: this is a modified copy of
# rally/rally/step/runners/dynamictp.py
"""A runner that searches for the max throughput with binary search
"""
import logging
import multiprocessing
import time
import traceback
import os
from vnftest.runners import base
LOG = logging.getLogger(__name__)
def _worker_process(queue, cls, method_name, step_cfg,
context_cfg, aborted): # pragma: no cover
runner_cfg = step_cfg['runner']
iterations = runner_cfg.get("iterations", 1)
interval = runner_cfg.get("interval", 1)
run_step = runner_cfg.get("run_step", "setup,run,teardown")
delta = runner_cfg.get("delta", 1000)
options_cfg = step_cfg['options']
initial_rate = options_cfg.get("pps", 1000000)
LOG.info("worker START, class %s", cls)
runner_cfg['runner_id'] = os.getpid()
step = cls(step_cfg, context_cfg)
if "setup" in run_step:
step.setup()
method = getattr(step, method_name)
queue.put({'runner_id': runner_cfg['runner_id'],
'step_cfg': step_cfg,
'context_cfg': context_cfg})
if "run" in run_step:
iterator = 0
search_max = initial_rate
search_min = 0
while iterator < iterations:
search_min = int(search_min / 2)
step_cfg['options']['pps'] = search_max
search_max_found = False
max_throuput_found = False
sequence = 0
last_min_data = {'packets_per_second': 0}
while True:
sequence += 1
data = {}
errors = ""
too_high = False
LOG.debug("sequence: %s search_min: %s search_max: %s",
sequence, search_min, search_max)
try:
method(data)
except AssertionError as assertion:
LOG.warning("SLA validation failed: %s" % assertion.args)
too_high = True
except Exception as e:
errors = traceback.format_exc()
LOG.exception(e)
actual_pps = data['packets_per_second']
if too_high:
search_max = actual_pps
if not search_max_found:
search_max_found = True
else:
last_min_data = data
search_min = actual_pps
# Check if the actual rate is well below the asked rate
if step_cfg['options']['pps'] > actual_pps * 1.5:
search_max = actual_pps
LOG.debug("Sender reached max tput: %s", search_max)
elif not search_max_found:
search_max = int(actual_pps * 1.5)
if ((search_max - search_min) < delta) or \
(search_max <= search_min) or (10 <= sequence):
if last_min_data['packets_per_second'] > 0:
data = last_min_data
step_output = {
'timestamp': time.time(),
'sequence': sequence,
'data': data,
'errors': errors
}
record = {
'runner_id': runner_cfg['runner_id'],
'step': step_output
}
queue.put(record)
max_throuput_found = True
if errors or aborted.is_set() or max_throuput_found:
LOG.info("worker END")
break
if not search_max_found:
step_cfg['options']['pps'] = search_max
else:
step_cfg['options']['pps'] = \
(search_max - search_min) / 2 + search_min
time.sleep(interval)
iterator += 1
LOG.debug("iterator: %s iterations: %s", iterator, iterations)
if "teardown" in run_step:
try:
step.teardown()
except Exception:
# catch any exception in teardown and convert to simple exception
# never pass exceptions back to multiprocessing, because some exceptions can
# be unpicklable
# https://bugs.python.org/issue9400
LOG.exception("")
raise SystemExit(1)
LOG.debug("queue.qsize() = %s", queue.qsize())
class IterationRunner(base.Runner):
"""Run a step to find the max throughput
If the step ends before the time has elapsed, it will be started again.
Parameters
interval - time to wait between each step invocation
type: int
unit: seconds
default: 1 sec
delta - stop condition for the search.
type: int
unit: pps
default: 1000 pps
"""
__execution_type__ = 'Dynamictp'
def _run_step(self, cls, method, step_cfg, context_cfg):
name = "{}-{}-{}".format(self.__execution_type__, step_cfg.get("type"), os.getpid())
self.process = multiprocessing.Process(
name=name,
target=_worker_process,
args=(self.result_queue, cls, method, step_cfg,
context_cfg, self.aborted))
self.process.start()
|
