"""A runner that searches for the max throughput with binary search
"""
-import os
-import multiprocessing
import logging
-import traceback
+import multiprocessing
import time
+import traceback
+
+import os
from yardstick.benchmark.runners import base
max_throuput_found = False
sequence = 0
- last_min_data = {}
- last_min_data['packets_per_second'] = 0
+ last_min_data = {'packets_per_second': 0}
while True:
sequence += 1
queue.put(record)
max_throuput_found = True
- if (errors) or aborted.is_set() or max_throuput_found:
+ if errors or aborted.is_set() or max_throuput_found:
LOG.info("worker END")
break
LOG.debug("iterator: %s iterations: %s", iterator, iterations)
if "teardown" in run_step:
- benchmark.teardown()
+ try:
+ benchmark.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 scenario to find the max throughput
+ """Run a scenario to find the max throughput
If the scenario ends before the time has elapsed, it will be started again.
type: int
unit: pps
default: 1000 pps
- '''
+ """
__execution_type__ = 'Dynamictp'
def _run_benchmark(self, cls, method, scenario_cfg, context_cfg):
+ name = "{}-{}-{}".format(self.__execution_type__, scenario_cfg.get("type"), os.getpid())
self.process = multiprocessing.Process(
+ name=name,
target=_worker_process,
args=(self.result_queue, cls, method, scenario_cfg,
context_cfg, self.aborted))