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# Copyright 2016, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following disclaimer
# in the documentation and/or other materials provided with the
# distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import multiprocessing
import random
import threading
import time
from concurrent import futures
import grpc
from src.proto.grpc.testing import control_pb2
from src.proto.grpc.testing import services_pb2
from src.proto.grpc.testing import stats_pb2
from tests.qps import benchmark_client
from tests.qps import benchmark_server
from tests.qps import client_runner
from tests.qps import histogram
from tests.unit import resources
class WorkerServer(services_pb2.WorkerServiceServicer):
"""Python Worker Server implementation."""
def __init__(self):
self._quit_event = threading.Event()
def RunServer(self, request_iterator, context):
config = next(request_iterator).setup
server, port = self._create_server(config)
cores = multiprocessing.cpu_count()
server.start()
start_time = time.time()
yield self._get_server_status(start_time, start_time, port, cores)
for request in request_iterator:
end_time = time.time()
status = self._get_server_status(start_time, end_time, port, cores)
if request.mark.reset:
start_time = end_time
yield status
server.stop(None)
def _get_server_status(self, start_time, end_time, port, cores):
end_time = time.time()
elapsed_time = end_time - start_time
stats = stats_pb2.ServerStats(time_elapsed=elapsed_time,
time_user=elapsed_time,
time_system=elapsed_time)
return control_pb2.ServerStatus(stats=stats, port=port, cores=cores)
def _create_server(self, config):
if config.async_server_threads == 0:
# This is the default concurrent.futures thread pool size, but
# None doesn't seem to work
server_threads = multiprocessing.cpu_count() * 5
else:
server_threads = config.async_server_threads
server = grpc.server(futures.ThreadPoolExecutor(
max_workers=server_threads))
if config.server_type == control_pb2.ASYNC_SERVER:
servicer = benchmark_server.BenchmarkServer()
services_pb2.add_BenchmarkServiceServicer_to_server(servicer, server)
elif config.server_type == control_pb2.ASYNC_GENERIC_SERVER:
resp_size = config.payload_config.bytebuf_params.resp_size
servicer = benchmark_server.GenericBenchmarkServer(resp_size)
method_implementations = {
'StreamingCall':
grpc.stream_stream_rpc_method_handler(servicer.StreamingCall),
'UnaryCall':
grpc.unary_unary_rpc_method_handler(servicer.UnaryCall),
}
handler = grpc.method_handlers_generic_handler(
'grpc.testing.BenchmarkService', method_implementations)
server.add_generic_rpc_handlers((handler,))
else:
raise Exception('Unsupported server type {}'.format(config.server_type))
if config.HasField('security_params'): # Use SSL
server_creds = grpc.ssl_server_credentials(
((resources.private_key(), resources.certificate_chain()),))
port = server.add_secure_port('[::]:{}'.format(config.port), server_creds)
else:
port = server.add_insecure_port('[::]:{}'.format(config.port))
return (server, port)
def RunClient(self, request_iterator, context):
config = next(request_iterator).setup
client_runners = []
qps_data = histogram.Histogram(config.histogram_params.resolution,
config.histogram_params.max_possible)
start_time = time.time()
# Create a client for each channel
for i in xrange(config.client_channels):
server = config.server_targets[i % len(config.server_targets)]
runner = self._create_client_runner(server, config, qps_data)
client_runners.append(runner)
runner.start()
end_time = time.time()
yield self._get_client_status(start_time, end_time, qps_data)
# Respond to stat requests
for request in request_iterator:
end_time = time.time()
status = self._get_client_status(start_time, end_time, qps_data)
if request.mark.reset:
qps_data.reset()
start_time = time.time()
yield status
# Cleanup the clients
for runner in client_runners:
runner.stop()
def _get_client_status(self, start_time, end_time, qps_data):
latencies = qps_data.get_data()
end_time = time.time()
elapsed_time = end_time - start_time
stats = stats_pb2.ClientStats(latencies=latencies,
time_elapsed=elapsed_time,
time_user=elapsed_time,
time_system=elapsed_time)
return control_pb2.ClientStatus(stats=stats)
def _create_client_runner(self, server, config, qps_data):
if config.client_type == control_pb2.SYNC_CLIENT:
if config.rpc_type == control_pb2.UNARY:
client = benchmark_client.UnarySyncBenchmarkClient(
server, config, qps_data)
elif config.rpc_type == control_pb2.STREAMING:
client = benchmark_client.StreamingSyncBenchmarkClient(
server, config, qps_data)
elif config.client_type == control_pb2.ASYNC_CLIENT:
if config.rpc_type == control_pb2.UNARY:
client = benchmark_client.UnaryAsyncBenchmarkClient(
server, config, qps_data)
else:
raise Exception('Async streaming client not supported')
else:
raise Exception('Unsupported client type {}'.format(config.client_type))
# In multi-channel tests, we split the load across all channels
load_factor = float(config.client_channels)
if config.load_params.WhichOneof('load') == 'closed_loop':
runner = client_runner.ClosedLoopClientRunner(
client, config.outstanding_rpcs_per_channel)
else: # Open loop Poisson
alpha = config.load_params.poisson.offered_load / load_factor
def poisson():
while True:
yield random.expovariate(alpha)
runner = client_runner.OpenLoopClientRunner(client, poisson())
return runner
def CoreCount(self, request, context):
return control_pb2.CoreResponse(cores=multiprocessing.cpu_count())
def QuitWorker(self, request, context):
self._quit_event.set()
return control_pb2.Void()
def wait_for_quit(self):
self._quit_event.wait()
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