1 # Copyright 2016: Nokia
4 # Licensed under the Apache License, Version 2.0 (the "License"); you may
5 # not use this file except in compliance with the License. You may obtain
6 # a copy of the License at
8 # http://www.apache.org/licenses/LICENSE-2.0
10 # Unless required by applicable law or agreed to in writing, software
11 # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
12 # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
13 # License for the specific language governing permissions and limitations
16 # yardstick comment: this is a modified copy of
17 # rally/rally/benchmark/runners/constant.py
19 """A runner that searches for the max throughput with binary search
23 import multiprocessing
28 from yardstick.benchmark.runners import base
30 LOG = logging.getLogger(__name__)
33 def _worker_process(queue, cls, method_name, scenario_cfg,
34 context_cfg, aborted): # pragma: no cover
36 runner_cfg = scenario_cfg['runner']
37 iterations = runner_cfg.get("iterations", 1)
38 interval = runner_cfg.get("interval", 1)
39 run_step = runner_cfg.get("run_step", "setup,run,teardown")
40 delta = runner_cfg.get("delta", 1000)
41 options_cfg = scenario_cfg['options']
42 initial_rate = options_cfg.get("pps", 1000000)
43 LOG.info("worker START, class %s", cls)
45 runner_cfg['runner_id'] = os.getpid()
47 benchmark = cls(scenario_cfg, context_cfg)
48 if "setup" in run_step:
51 method = getattr(benchmark, method_name)
53 queue.put({'runner_id': runner_cfg['runner_id'],
54 'scenario_cfg': scenario_cfg,
55 'context_cfg': context_cfg})
59 search_max = initial_rate
61 while iterator < iterations:
62 search_min = int(search_min / 2)
63 scenario_cfg['options']['pps'] = search_max
64 search_max_found = False
65 max_throuput_found = False
69 last_min_data['packets_per_second'] = 0
78 LOG.debug("sequence: %s search_min: %s search_max: %s",
79 sequence, search_min, search_max)
83 except AssertionError as assertion:
84 LOG.warning("SLA validation failed: %s" % assertion.args)
86 except Exception as e:
87 errors = traceback.format_exc()
90 actual_pps = data['packets_per_second']
93 search_max = actual_pps
95 if not search_max_found:
96 search_max_found = True
99 search_min = actual_pps
101 # Check if the actual rate is well below the asked rate
102 if scenario_cfg['options']['pps'] > actual_pps * 1.5:
103 search_max = actual_pps
104 LOG.debug("Sender reached max tput: %s", search_max)
105 elif not search_max_found:
106 search_max = int(actual_pps * 1.5)
108 if ((search_max - search_min) < delta) or \
109 (search_max <= search_min) or (10 <= sequence):
110 if last_min_data['packets_per_second'] > 0:
114 'timestamp': time.time(),
115 'sequence': sequence,
121 'runner_id': runner_cfg['runner_id'],
122 'benchmark': benchmark_output
126 max_throuput_found = True
128 if (errors) or aborted.is_set() or max_throuput_found:
129 LOG.info("worker END")
132 if not search_max_found:
133 scenario_cfg['options']['pps'] = search_max
135 scenario_cfg['options']['pps'] = \
136 (search_max - search_min) / 2 + search_min
141 LOG.debug("iterator: %s iterations: %s", iterator, iterations)
143 if "teardown" in run_step:
147 class IterationRunner(base.Runner):
148 '''Run a scenario to find the max throughput
150 If the scenario ends before the time has elapsed, it will be started again.
153 interval - time to wait between each scenario invocation
157 delta - stop condition for the search.
162 __execution_type__ = 'Dynamictp'
164 def _run_benchmark(self, cls, method, scenario_cfg, context_cfg):
165 self.process = multiprocessing.Process(
166 target=_worker_process,
167 args=(self.result_queue, cls, method, scenario_cfg,
168 context_cfg, self.aborted))