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
180
181
182
183
184
|
# 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 grpc.beta import implementations
from grpc.framework.interfaces.face import utilities
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.BetaWorkerServiceServicer):
"""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(0)
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.server_type == control_pb2.SYNC_SERVER:
servicer = benchmark_server.BenchmarkServer()
server = services_pb2.beta_create_BenchmarkService_server(servicer)
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 = {
('grpc.testing.BenchmarkService', 'StreamingCall'):
utilities.stream_stream_inline(servicer.StreamingCall),
('grpc.testing.BenchmarkService', 'UnaryCall'):
utilities.unary_unary_inline(servicer.UnaryCall),
}
server = implementations.server(method_implementations)
else:
raise Exception('Unsupported server type {}'.format(config.server_type))
if config.HasField('security_params'): # Use SSL
server_creds = implementations.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()
|
