-##############################################################################
-# Copyright (c) 2015 Huawei Technologies Co.,Ltd and others.
+# Copyright 2014: Mirantis Inc.
+# All Rights Reserved.
#
-# All rights reserved. This program and the accompanying materials
-# are made available under the terms of the Apache License, Version 2.0
-# which accompanies this distribution, and is available at
-# http://www.apache.org/licenses/LICENSE-2.0
-##############################################################################
+# 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.
-'''A runner that runs a configurable number of times before it returns
-'''
+# yardstick comment: this is a modified copy of
+# rally/rally/benchmark/runners/constant.py
+
+"""A runner that runs a configurable number of times before it returns
+"""
+
+from __future__ import absolute_import
-import os
-import multiprocessing
import logging
-import traceback
+import multiprocessing
import time
+import traceback
+
+import os
from yardstick.benchmark.runners import base
LOG = logging.getLogger(__name__)
-def _worker_process(queue, cls, method_name, context, scenario_args):
+QUEUE_PUT_TIMEOUT = 10
- sequence = 1
- interval = context.get("interval", 1)
- iterations = context.get("iterations", 1)
- LOG.info("worker START, iterations %d times, class %s", iterations, cls)
+def _worker_process(queue, cls, method_name, scenario_cfg,
+ context_cfg, aborted, output_queue):
- context['runner'] = os.getpid()
+ sequence = 1
- benchmark = cls(context)
- benchmark.setup()
- method = getattr(benchmark, method_name)
+ runner_cfg = scenario_cfg['runner']
- record_context = {"runner": context["runner"],
- "host": context["host"]}
+ interval = runner_cfg.get("interval", 1)
+ iterations = runner_cfg.get("iterations", 1)
+ run_step = runner_cfg.get("run_step", "setup,run,teardown")
- sla_action = None
- if "sla" in scenario_args:
- sla_action = scenario_args["sla"].get("action", "assert")
+ delta = runner_cfg.get("delta", 2)
+ LOG.info("worker START, iterations %d times, class %s", iterations, cls)
- while True:
+ runner_cfg['runner_id'] = os.getpid()
- LOG.debug("runner=%(runner)s seq=%(sequence)s START" %
- {"runner": context["runner"], "sequence": sequence})
+ benchmark = cls(scenario_cfg, context_cfg)
+ if "setup" in run_step:
+ benchmark.setup()
- data = {}
- errors = ""
+ method = getattr(benchmark, method_name)
+ sla_action = None
+ if "sla" in scenario_cfg:
+ sla_action = scenario_cfg["sla"].get("action", "assert")
+ if "run" in run_step:
+ while True:
+
+ LOG.debug("runner=%(runner)s seq=%(sequence)s START",
+ {"runner": runner_cfg["runner_id"],
+ "sequence": sequence})
+
+ data = {}
+ errors = ""
+
+ benchmark.pre_run_wait_time(interval)
+
+ try:
+ result = method(data)
+ except AssertionError as assertion:
+ # SLA validation failed in scenario, determine what to do now
+ if sla_action == "assert":
+ raise
+ elif sla_action == "monitor":
+ LOG.warning("SLA validation failed: %s", assertion.args)
+ errors = assertion.args
+ elif sla_action == "rate-control":
+ try:
+ scenario_cfg['options']['rate']
+ except KeyError:
+ scenario_cfg.setdefault('options', {})
+ scenario_cfg['options']['rate'] = 100
+
+ scenario_cfg['options']['rate'] -= delta
+ sequence = 1
+ continue
+ except Exception: # pylint: disable=broad-except
+ errors = traceback.format_exc()
+ LOG.exception("")
+ else:
+ if result:
+ # add timeout for put so we don't block test
+ # if we do timeout we don't care about dropping individual KPIs
+ output_queue.put(result, True, QUEUE_PUT_TIMEOUT)
+
+ benchmark.post_run_wait_time(interval)
+
+ benchmark_output = {
+ 'timestamp': time.time(),
+ 'sequence': sequence,
+ 'data': data,
+ 'errors': errors
+ }
+
+ queue.put(benchmark_output, True, QUEUE_PUT_TIMEOUT)
+
+ LOG.debug("runner=%(runner)s seq=%(sequence)s END",
+ {"runner": runner_cfg["runner_id"],
+ "sequence": sequence})
+
+ sequence += 1
+
+ if (errors and sla_action is None) or \
+ (sequence > iterations or aborted.is_set()):
+ LOG.info("worker END")
+ break
+ if "teardown" in run_step:
try:
- data = method(scenario_args)
- except AssertionError as assertion:
- # SLA validation failed in scenario, determine what to do now
- if sla_action == "assert":
- raise
- elif sla_action == "monitor":
- LOG.warning("SLA validation failed: %s" % assertion.args)
- errors = assertion.args
- except Exception as e:
- errors = traceback.format_exc()
- LOG.exception(e)
-
- time.sleep(interval)
-
- benchmark_output = {
- 'timestamp': time.time(),
- 'sequence': sequence,
- 'data': data,
- 'errors': errors
- }
-
- queue.put({'context': record_context, 'sargs': scenario_args,
- 'benchmark': benchmark_output})
-
- LOG.debug("runner=%(runner)s seq=%(sequence)s END" %
- {"runner": context["runner"], "sequence": sequence})
-
- sequence += 1
-
- if (errors and sla_action is None) or (sequence > iterations):
- LOG.info("worker END")
- break
+ 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)
- benchmark.teardown()
+ LOG.debug("queue.qsize() = %s", queue.qsize())
+ LOG.debug("output_queue.qsize() = %s", output_queue.qsize())
class IterationRunner(base.Runner):
- '''Run a scenario for a configurable number of times
+ """Run a scenario for a configurable number of times
If the scenario ends before the time has elapsed, it will be started again.
type: int
unit: seconds
default: 1 sec
- '''
+ """
__execution_type__ = 'Iteration'
- def _run_benchmark(self, cls, method, scenario_args):
+ 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, self.config, scenario_args))
+ args=(self.result_queue, cls, method, scenario_cfg,
+ context_cfg, self.aborted, self.output_queue))
self.process.start()
Code Review / yardstick.git / blobdiff