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grpc/tools/run_tests/performance/scenario_config.py

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# Copyright 2016 gRPC authors.
#
# 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.
# performance scenario configuration for various languages
import math
WARMUP_SECONDS = 5
JAVA_WARMUP_SECONDS = 15 # Java needs more warmup time for JIT to kick in.
CXX_WARMUP_SECONDS = 30 # Core needs more warmup time for the thread pool to scale appropriately.
BENCHMARK_SECONDS = 30
SMOKETEST = "smoketest"
SCALABLE = "scalable"
INPROC = "inproc"
SWEEP = "sweep"
PSM = "psm"
# A small superset of the benchmarks required to produce
# https://grafana-dot-grpc-testing.appspot.com/
DASHBOARD = "dashboard"
DEFAULT_CATEGORIES = (SCALABLE, SMOKETEST)
SECURE_SECARGS = {
"use_test_ca": True,
"server_host_override": "foo.test.google.fr",
}
HISTOGRAM_PARAMS = {
"resolution": 0.01,
"max_possible": 60e9,
}
# target number of RPCs outstanding on across all client channels in
# non-ping-pong tests (since we can only specify per-channel numbers, the
# actual target will be slightly higher)
OUTSTANDING_REQUESTS = {"async": 6400, "async-limited": 800, "sync": 1000}
# wide is the number of client channels in multi-channel tests (1 otherwise)
WIDE = 64
def _get_secargs(is_secure):
if is_secure:
return SECURE_SECARGS
else:
return None
def remove_nonproto_fields(scenario):
"""Removes special-purpose fields that don't belong in the protobuf.
This function removes additional information about the scenario that is not
included in the ScenarioConfig protobuf message.
"""
scenario.pop("CATEGORIES", None)
scenario.pop("CLIENT_LANGUAGE", None)
scenario.pop("SERVER_LANGUAGE", None)
scenario.pop("EXCLUDED_POLL_ENGINES", None)
return scenario
def geometric_progression(start, stop, step):
n = start
while n < stop:
yield int(round(n))
n *= step
def _payload_type(use_generic_payload, req_size, resp_size):
r = {}
sizes = {
"req_size": req_size,
"resp_size": resp_size,
}
if use_generic_payload:
r["bytebuf_params"] = sizes
else:
r["simple_params"] = sizes
return r
def _load_params(offered_load):
r = {}
if offered_load is None:
r["closed_loop"] = {}
else:
load = {}
load["offered_load"] = offered_load
r["poisson"] = load
return r
def _add_channel_arg(config, key, value):
if "channel_args" in config:
channel_args = config["channel_args"]
else:
channel_args = []
config["channel_args"] = channel_args
arg = {"name": key}
if isinstance(value, int):
arg["int_value"] = value
else:
arg["str_value"] = value
channel_args.append(arg)
def _ping_pong_scenario(
name,
rpc_type,
client_type,
server_type,
secure=True,
use_generic_payload=False,
req_size=0,
resp_size=0,
unconstrained_client=None,
client_language=None,
server_language=None,
async_server_threads=0,
client_processes=0,
server_processes=0,
server_threads_per_cq=0,
client_threads_per_cq=0,
warmup_seconds=WARMUP_SECONDS,
categories=None,
channels=None,
outstanding=None,
num_clients=None,
resource_quota_size=None,
messages_per_stream=None,
excluded_poll_engines=None,
minimal_stack=False,
offered_load=None,
):
"""Creates a basic ping pong scenario."""
scenario = {
"name": name,
"num_servers": 1,
"num_clients": 1,
"client_config": {
"client_type": client_type,
"security_params": _get_secargs(secure),
"outstanding_rpcs_per_channel": 1,
"client_channels": 1,
"async_client_threads": 1,
"client_processes": client_processes,
"threads_per_cq": client_threads_per_cq,
"rpc_type": rpc_type,
"histogram_params": HISTOGRAM_PARAMS,
"channel_args": [],
},
"server_config": {
"server_type": server_type,
"security_params": _get_secargs(secure),
"async_server_threads": async_server_threads,
"server_processes": server_processes,
"threads_per_cq": server_threads_per_cq,
"channel_args": [],
},
"warmup_seconds": warmup_seconds,
"benchmark_seconds": BENCHMARK_SECONDS,
"CATEGORIES": list(DEFAULT_CATEGORIES),
"EXCLUDED_POLL_ENGINES": [],
}
if resource_quota_size:
scenario["server_config"]["resource_quota_size"] = resource_quota_size
if use_generic_payload:
if server_type != "ASYNC_GENERIC_SERVER":
raise Exception("Use ASYNC_GENERIC_SERVER for generic payload.")
scenario["server_config"]["payload_config"] = _payload_type(
use_generic_payload, req_size, resp_size
)
scenario["client_config"]["payload_config"] = _payload_type(
use_generic_payload, req_size, resp_size
)
# Optimization target of 'throughput' does not work well with epoll1 polling
# engine. Use the default value of 'blend'
optimization_target = "throughput"
if unconstrained_client:
outstanding_calls = (
outstanding
if outstanding is not None
else OUTSTANDING_REQUESTS[unconstrained_client]
)
# clamp buffer usage to something reasonable (16 gig for now)
MAX_MEMORY_USE = 16 * 1024 * 1024 * 1024
if outstanding_calls * max(req_size, resp_size) > MAX_MEMORY_USE:
outstanding_calls = max(
1, MAX_MEMORY_USE / max(req_size, resp_size)
)
wide = channels if channels is not None else WIDE
deep = int(math.ceil(1.0 * outstanding_calls / wide))
scenario["num_clients"] = (
num_clients if num_clients is not None else 0
) # use as many clients as available.
scenario["client_config"]["outstanding_rpcs_per_channel"] = deep
scenario["client_config"]["client_channels"] = wide
scenario["client_config"]["async_client_threads"] = 0
if offered_load is not None:
optimization_target = "latency"
else:
scenario["client_config"]["outstanding_rpcs_per_channel"] = 1
scenario["client_config"]["client_channels"] = 1
scenario["client_config"]["async_client_threads"] = 1
optimization_target = "latency"
scenario["client_config"]["load_params"] = _load_params(offered_load)
optimization_channel_arg = {
"name": "grpc.optimization_target",
"str_value": optimization_target,
}
scenario["client_config"]["channel_args"].append(optimization_channel_arg)
scenario["server_config"]["channel_args"].append(optimization_channel_arg)
if minimal_stack:
_add_channel_arg(scenario["client_config"], "grpc.minimal_stack", 1)
_add_channel_arg(scenario["server_config"], "grpc.minimal_stack", 1)
if messages_per_stream:
scenario["client_config"]["messages_per_stream"] = messages_per_stream
if client_language:
# the CLIENT_LANGUAGE field is recognized by run_performance_tests.py
scenario["CLIENT_LANGUAGE"] = client_language
if server_language:
# the SERVER_LANGUAGE field is recognized by run_performance_tests.py
scenario["SERVER_LANGUAGE"] = server_language
if categories:
scenario["CATEGORIES"] = categories
if excluded_poll_engines:
# The polling engines for which this scenario is excluded
scenario["EXCLUDED_POLL_ENGINES"] = excluded_poll_engines
return scenario
class Language(object):
@property
def safename(self):
return str(self)
class CXXLanguage(Language):
@property
def safename(self):
return "cxx"
def worker_cmdline(self):
return ["cmake/build/qps_worker"]
def worker_port_offset(self):
return 0
def scenarios(self):
yield _ping_pong_scenario(
"cpp_protobuf_async_unary_5000rpcs_1KB_psm",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024,
resp_size=1024,
outstanding=5000,
channels=1,
num_clients=1,
secure=False,
async_server_threads=1,
categories=[PSM],
warmup_seconds=CXX_WARMUP_SECONDS,
)
# TODO(ctiller): add 70% load latency test
yield _ping_pong_scenario(
"cpp_protobuf_async_unary_1channel_100rpcs_1MB",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
unconstrained_client="async",
outstanding=100,
channels=1,
num_clients=1,
secure=False,
categories=[SWEEP],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_protobuf_async_streaming_from_client_1channel_1MB",
rpc_type="STREAMING_FROM_CLIENT",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
unconstrained_client="async",
outstanding=1,
channels=1,
num_clients=1,
secure=False,
categories=[SWEEP],
warmup_seconds=CXX_WARMUP_SECONDS,
)
# Scenario was added in https://github.com/grpc/grpc/pull/12987, but its purpose is unclear
# (beyond excercising some params that other scenarios don't)
yield _ping_pong_scenario(
"cpp_protobuf_async_unary_75Kqps_600channel_60Krpcs_300Breq_50Bresp",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=300,
resp_size=50,
unconstrained_client="async",
outstanding=30000,
channels=300,
offered_load=37500,
secure=False,
async_server_threads=16,
server_threads_per_cq=1,
categories=[SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
for secure in [True, False]:
secstr = "secure" if secure else "insecure"
smoketest_categories = [SMOKETEST] if secure else []
inproc_categories = [INPROC] if not secure else []
yield _ping_pong_scenario(
"cpp_generic_async_streaming_ping_pong_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
use_generic_payload=True,
async_server_threads=1,
secure=secure,
categories=smoketest_categories
+ inproc_categories
+ [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_generic_async_streaming_qps_unconstrained_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=secure,
client_threads_per_cq=2,
server_threads_per_cq=2,
minimal_stack=not secure,
categories=smoketest_categories
+ inproc_categories
+ [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
for mps in geometric_progression(10, 20, 10):
yield _ping_pong_scenario(
"cpp_generic_async_streaming_qps_unconstrained_%smps_%s"
% (mps, secstr),
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=secure,
messages_per_stream=mps,
minimal_stack=not secure,
categories=smoketest_categories
+ inproc_categories
+ [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
for mps in geometric_progression(1, 200, math.sqrt(10)):
yield _ping_pong_scenario(
"cpp_generic_async_streaming_qps_unconstrained_%smps_%s"
% (mps, secstr),
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=secure,
messages_per_stream=mps,
minimal_stack=not secure,
categories=[SWEEP],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_generic_async_streaming_qps_1channel_1MBmsg_%s" % secstr,
rpc_type="STREAMING",
req_size=1024 * 1024,
resp_size=1024 * 1024,
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=secure,
minimal_stack=not secure,
categories=inproc_categories + [SCALABLE],
channels=1,
outstanding=100,
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_generic_async_streaming_qps_unconstrained_64KBmsg_%s"
% secstr,
rpc_type="STREAMING",
req_size=64 * 1024,
resp_size=64 * 1024,
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=secure,
minimal_stack=not secure,
categories=inproc_categories + [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_generic_async_streaming_qps_unconstrained_1cq_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async-limited",
use_generic_payload=True,
secure=secure,
client_threads_per_cq=1000000,
server_threads_per_cq=1000000,
categories=[SWEEP],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_protobuf_async_streaming_qps_unconstrained_1cq_%s"
% secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async-limited",
secure=secure,
client_threads_per_cq=1000000,
server_threads_per_cq=1000000,
categories=inproc_categories + [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_protobuf_async_unary_qps_unconstrained_1cq_%s" % secstr,
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async-limited",
secure=secure,
client_threads_per_cq=1000000,
server_threads_per_cq=1000000,
categories=inproc_categories + [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_generic_async_streaming_qps_one_server_core_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async-limited",
use_generic_payload=True,
async_server_threads=1,
minimal_stack=not secure,
secure=secure,
categories=[SWEEP],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_protobuf_async_client_sync_server_unary_qps_unconstrained_%s"
% (secstr),
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="SYNC_SERVER",
unconstrained_client="async",
secure=secure,
minimal_stack=not secure,
categories=smoketest_categories
+ inproc_categories
+ [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_protobuf_async_client_unary_1channel_64wide_128Breq_8MBresp_%s"
% (secstr),
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
channels=1,
outstanding=64,
req_size=128,
resp_size=8 * 1024 * 1024,
secure=secure,
minimal_stack=not secure,
categories=inproc_categories + [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_protobuf_async_client_sync_server_streaming_qps_unconstrained_%s"
% secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="SYNC_SERVER",
unconstrained_client="async",
secure=secure,
minimal_stack=not secure,
categories=[SWEEP],
warmup_seconds=CXX_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"cpp_protobuf_async_unary_ping_pong_%s_1MB" % secstr,
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
secure=secure,
minimal_stack=not secure,
categories=smoketest_categories
+ inproc_categories
+ [SCALABLE, DASHBOARD],
warmup_seconds=CXX_WARMUP_SECONDS,
)
for rpc_type in [
"unary",
"streaming",
"streaming_from_client",
"streaming_from_server",
]:
maybe_dashboard = (
[DASHBOARD] if rpc_type in ("unary", "streaming") else []
)
for synchronicity in ["sync", "async"]:
yield _ping_pong_scenario(
"cpp_protobuf_%s_%s_ping_pong_%s"
% (synchronicity, rpc_type, secstr),
rpc_type=rpc_type.upper(),
client_type="%s_CLIENT" % synchronicity.upper(),
server_type="%s_SERVER" % synchronicity.upper(),
async_server_threads=1,
minimal_stack=not secure,
secure=secure,
categories=list(DEFAULT_CATEGORIES) + maybe_dashboard,
warmup_seconds=CXX_WARMUP_SECONDS,
)
for size in geometric_progression(
1, 1024 * 1024 * 1024 + 1, 8
):
yield _ping_pong_scenario(
"cpp_protobuf_%s_%s_qps_unconstrained_%s_%db"
% (synchronicity, rpc_type, secstr, size),
rpc_type=rpc_type.upper(),
req_size=size,
resp_size=size,
client_type="%s_CLIENT" % synchronicity.upper(),
server_type="%s_SERVER" % synchronicity.upper(),
unconstrained_client=synchronicity,
secure=secure,
minimal_stack=not secure,
categories=[SWEEP],
warmup_seconds=CXX_WARMUP_SECONDS,
)
maybe_scalable = [SCALABLE]
if (
rpc_type == "streaming_from_server"
and synchronicity == "async"
and secure
):
# protobuf_async_streaming_from_server_qps_unconstrained_secure is very flaky
# and has extremely high variance so running it isn't really useful.
# see b/198275705
maybe_scalable = [SWEEP]
maybe_dashboard = (
[DASHBOARD]
if rpc_type in ("unary", "streaming")
else []
)
yield _ping_pong_scenario(
"cpp_protobuf_%s_%s_qps_unconstrained_%s"
% (synchronicity, rpc_type, secstr),
rpc_type=rpc_type.upper(),
client_type="%s_CLIENT" % synchronicity.upper(),
server_type="%s_SERVER" % synchronicity.upper(),
unconstrained_client=synchronicity,
secure=secure,
minimal_stack=not secure,
server_threads_per_cq=2,
client_threads_per_cq=2,
categories=inproc_categories
+ maybe_scalable
+ maybe_dashboard,
warmup_seconds=CXX_WARMUP_SECONDS,
)
# TODO(vjpai): Re-enable this test. It has a lot of timeouts
# and hasn't yet been conclusively identified as a test failure
# or race in the library
# yield _ping_pong_scenario(
# 'cpp_protobuf_%s_%s_qps_unconstrained_%s_500kib_resource_quota' % (synchronicity, rpc_type, secstr),
# rpc_type=rpc_type.upper(),
# client_type='%s_CLIENT' % synchronicity.upper(),
# server_type='%s_SERVER' % synchronicity.upper(),
# unconstrained_client=synchronicity,
# secure=secure,
# categories=smoketest_categories+[SCALABLE],
# warmup_seconds=CXX_WARMUP_SECONDS,
# resource_quota_size=500*1024)
if rpc_type == "streaming":
for mps in geometric_progression(10, 20, 10):
yield _ping_pong_scenario(
"cpp_protobuf_%s_%s_qps_unconstrained_%smps_%s"
% (synchronicity, rpc_type, mps, secstr),
rpc_type=rpc_type.upper(),
client_type="%s_CLIENT" % synchronicity.upper(),
server_type="%s_SERVER" % synchronicity.upper(),
unconstrained_client=synchronicity,
secure=secure,
messages_per_stream=mps,
minimal_stack=not secure,
categories=inproc_categories + [SCALABLE],
warmup_seconds=CXX_WARMUP_SECONDS,
)
for mps in geometric_progression(1, 200, math.sqrt(10)):
yield _ping_pong_scenario(
"cpp_protobuf_%s_%s_qps_unconstrained_%smps_%s"
% (synchronicity, rpc_type, mps, secstr),
rpc_type=rpc_type.upper(),
client_type="%s_CLIENT" % synchronicity.upper(),
server_type="%s_SERVER" % synchronicity.upper(),
unconstrained_client=synchronicity,
secure=secure,
messages_per_stream=mps,
minimal_stack=not secure,
categories=[SWEEP],
warmup_seconds=CXX_WARMUP_SECONDS,
)
for channels in geometric_progression(
1, 20000, math.sqrt(10)
):
for outstanding in geometric_progression(
1, 200000, math.sqrt(10)
):
if synchronicity == "sync" and outstanding > 1200:
continue
if outstanding < channels:
continue
yield _ping_pong_scenario(
"cpp_protobuf_%s_%s_qps_unconstrained_%s_%d_channels_%d_outstanding"
% (
synchronicity,
rpc_type,
secstr,
channels,
outstanding,
),
rpc_type=rpc_type.upper(),
client_type="%s_CLIENT" % synchronicity.upper(),
server_type="%s_SERVER" % synchronicity.upper(),
unconstrained_client=synchronicity,
secure=secure,
minimal_stack=not secure,
categories=[SWEEP],
channels=channels,
outstanding=outstanding,
warmup_seconds=CXX_WARMUP_SECONDS,
)
def __str__(self):
return "c++"
class CSharpLanguage(Language):
"""The legacy Grpc.Core implementation from grpc/grpc."""
def worker_cmdline(self):
return ["tools/run_tests/performance/run_worker_csharp.sh"]
def worker_port_offset(self):
return 100
def scenarios(self):
yield _ping_pong_scenario(
"csharp_generic_async_streaming_ping_pong",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
use_generic_payload=True,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"csharp_generic_async_streaming_ping_pong_insecure_1MB",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
use_generic_payload=True,
secure=False,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"csharp_generic_async_streaming_qps_unconstrained_insecure",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=False,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"csharp_protobuf_async_streaming_ping_pong",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
)
yield _ping_pong_scenario(
"csharp_protobuf_async_unary_ping_pong",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"csharp_protobuf_sync_to_async_unary_ping_pong",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
)
yield _ping_pong_scenario(
"csharp_protobuf_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"csharp_protobuf_async_streaming_qps_unconstrained",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"csharp_to_cpp_protobuf_sync_unary_ping_pong",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
server_language="c++",
async_server_threads=1,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"csharp_to_cpp_protobuf_async_streaming_ping_pong",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
server_language="c++",
async_server_threads=1,
)
yield _ping_pong_scenario(
"csharp_to_cpp_protobuf_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
server_language="c++",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"csharp_to_cpp_protobuf_sync_to_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="sync",
server_language="c++",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"cpp_to_csharp_protobuf_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
client_language="c++",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"csharp_protobuf_async_unary_ping_pong_1MB",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
categories=[SMOKETEST, SCALABLE],
)
def __str__(self):
return "csharp"
class DotnetLanguage(Language):
"""The pure C# implementation from grpc/grpc-dotnet."""
def worker_cmdline(self):
# grpc-dotnet worker is only supported by the new GKE based OSS benchmark
# framework, and the worker_cmdline() is only used by run_performance_tests.py
return ["grpc_dotnet_not_supported_by_legacy_performance_runner.sh"]
def worker_port_offset(self):
return 1100
def scenarios(self):
yield _ping_pong_scenario(
"dotnet_generic_async_streaming_ping_pong",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
use_generic_payload=True,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_generic_async_streaming_ping_pong_insecure_1MB",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
use_generic_payload=True,
secure=False,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_generic_async_streaming_qps_unconstrained_insecure",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=False,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_protobuf_async_streaming_ping_pong",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
)
yield _ping_pong_scenario(
"dotnet_protobuf_async_unary_ping_pong",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_protobuf_sync_to_async_unary_ping_pong",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
)
yield _ping_pong_scenario(
"dotnet_protobuf_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_protobuf_async_streaming_qps_unconstrained",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_to_cpp_protobuf_sync_unary_ping_pong",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
server_language="c++",
async_server_threads=1,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_to_cpp_protobuf_async_streaming_ping_pong",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
server_language="c++",
async_server_threads=1,
)
yield _ping_pong_scenario(
"dotnet_to_cpp_protobuf_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
server_language="c++",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_to_cpp_protobuf_sync_to_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="sync",
server_language="c++",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"cpp_to_dotnet_protobuf_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
client_language="c++",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"dotnet_protobuf_async_unary_ping_pong_1MB",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
categories=[SMOKETEST, SCALABLE],
)
def __str__(self):
return "dotnet"
class PythonLanguage(Language):
def worker_cmdline(self):
return ["tools/run_tests/performance/run_worker_python.sh"]
def worker_port_offset(self):
return 500
def scenarios(self):
yield _ping_pong_scenario(
"python_protobuf_async_unary_5000rpcs_1KB_psm",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024,
resp_size=1024,
outstanding=5000,
channels=1,
num_clients=1,
secure=False,
async_server_threads=1,
categories=[PSM],
)
yield _ping_pong_scenario(
"python_generic_sync_streaming_ping_pong",
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
use_generic_payload=True,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_protobuf_sync_streaming_ping_pong",
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
)
yield _ping_pong_scenario(
"python_protobuf_async_unary_ping_pong",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
)
yield _ping_pong_scenario(
"python_protobuf_sync_unary_ping_pong",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_protobuf_sync_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="sync",
)
yield _ping_pong_scenario(
"python_protobuf_sync_streaming_qps_unconstrained",
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="sync",
)
yield _ping_pong_scenario(
"python_to_cpp_protobuf_sync_unary_ping_pong",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
server_language="c++",
async_server_threads=0,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_to_cpp_protobuf_sync_streaming_ping_pong",
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
server_language="c++",
async_server_threads=1,
)
yield _ping_pong_scenario(
"python_protobuf_sync_unary_ping_pong_1MB",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
categories=[SMOKETEST, SCALABLE],
)
def __str__(self):
return "python"
class PythonAsyncIOLanguage(Language):
def worker_cmdline(self):
return ["tools/run_tests/performance/run_worker_python_asyncio.sh"]
def worker_port_offset(self):
return 1200
def scenarios(self):
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_unary_5000rpcs_1KB_psm",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024,
resp_size=1024,
outstanding=5000,
channels=1,
num_clients=1,
secure=False,
async_server_threads=1,
categories=[PSM],
)
for outstanding in [64, 128, 256, 512]:
for channels in [1, 4]:
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_unary_ping_pong_%dx%d_max"
% (
outstanding,
channels,
),
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
outstanding=outstanding * channels,
channels=channels,
client_processes=0,
server_processes=0,
unconstrained_client="async",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_unary_ping_pong_%d_1thread"
% outstanding,
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
outstanding=outstanding,
channels=1,
client_processes=1,
server_processes=1,
unconstrained_client="async",
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"python_asyncio_generic_async_streaming_ping_pong",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
channels=1,
client_processes=1,
server_processes=1,
use_generic_payload=True,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_streaming_ping_pong",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
channels=1,
client_processes=1,
server_processes=1,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_unary_ping_pong",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
client_processes=1,
server_processes=1,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_unary_ping_pong",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
channels=1,
client_processes=1,
server_processes=1,
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
channels=1,
unconstrained_client="async",
)
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_streaming_qps_unconstrained",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
channels=1,
unconstrained_client="async",
)
yield _ping_pong_scenario(
"python_asyncio_to_cpp_protobuf_async_unary_ping_pong_1thread",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
server_language="c++",
channels=1,
client_processes=1,
unconstrained_client="async",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_asyncio_to_cpp_protobuf_async_unary_ping_pong_max",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
channels=1,
client_processes=0,
server_language="c++",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"python_asyncio_to_cpp_protobuf_sync_streaming_ping_pong_1thread",
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
channels=1,
client_processes=1,
server_processes=1,
unconstrained_client="async",
server_language="c++",
)
yield _ping_pong_scenario(
"python_asyncio_protobuf_async_unary_ping_pong_1MB",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
channels=1,
client_processes=1,
server_processes=1,
categories=[SMOKETEST, SCALABLE],
)
def __str__(self):
return "python_asyncio"
class RubyLanguage(Language):
def worker_cmdline(self):
return ["tools/run_tests/performance/run_worker_ruby.sh"]
def worker_port_offset(self):
return 300
def scenarios(self):
yield _ping_pong_scenario(
"ruby_protobuf_sync_streaming_ping_pong",
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"ruby_protobuf_unary_ping_pong",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
categories=[SMOKETEST, SCALABLE],
)
yield _ping_pong_scenario(
"ruby_protobuf_sync_unary_qps_unconstrained",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
unconstrained_client="sync",
)
yield _ping_pong_scenario(
"ruby_protobuf_sync_streaming_qps_unconstrained",
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
unconstrained_client="sync",
)
yield _ping_pong_scenario(
"ruby_to_cpp_protobuf_sync_unary_ping_pong",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
server_language="c++",
async_server_threads=1,
)
yield _ping_pong_scenario(
"ruby_to_cpp_protobuf_sync_streaming_ping_pong",
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
server_language="c++",
async_server_threads=1,
)
yield _ping_pong_scenario(
"ruby_protobuf_unary_ping_pong_1MB",
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
req_size=1024 * 1024,
resp_size=1024 * 1024,
categories=[SMOKETEST, SCALABLE],
)
def __str__(self):
return "ruby"
class Php7Language(Language):
def __init__(self, php7_protobuf_c=False):
super().__init__()
self.php7_protobuf_c = php7_protobuf_c
def worker_cmdline(self):
if self.php7_protobuf_c:
return [
"tools/run_tests/performance/run_worker_php.sh",
"--use_protobuf_c_extension",
]
return ["tools/run_tests/performance/run_worker_php.sh"]
def worker_port_offset(self):
if self.php7_protobuf_c:
return 900
return 800
def scenarios(self):
php7_extension_mode = "php7_protobuf_php_extension"
if self.php7_protobuf_c:
php7_extension_mode = "php7_protobuf_c_extension"
yield _ping_pong_scenario(
"%s_to_cpp_protobuf_async_unary_5000rpcs_1KB_psm"
% php7_extension_mode,
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
server_language="c++",
req_size=1024,
resp_size=1024,
outstanding=5000,
channels=1,
num_clients=1,
secure=False,
async_server_threads=1,
categories=[PSM],
)
yield _ping_pong_scenario(
"%s_to_cpp_protobuf_sync_unary_ping_pong" % php7_extension_mode,
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
server_language="c++",
async_server_threads=1,
)
yield _ping_pong_scenario(
"%s_to_cpp_protobuf_sync_streaming_ping_pong" % php7_extension_mode,
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
server_language="c++",
async_server_threads=1,
)
# TODO(ddyihai): Investigate why when async_server_threads=1/CPU usage 340%, the QPS performs
# better than async_server_threads=0/CPU usage 490%.
yield _ping_pong_scenario(
"%s_to_cpp_protobuf_sync_unary_qps_unconstrained"
% php7_extension_mode,
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
server_language="c++",
outstanding=1,
async_server_threads=1,
unconstrained_client="sync",
)
yield _ping_pong_scenario(
"%s_to_cpp_protobuf_sync_streaming_qps_unconstrained"
% php7_extension_mode,
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="ASYNC_SERVER",
server_language="c++",
outstanding=1,
async_server_threads=1,
unconstrained_client="sync",
)
def __str__(self):
if self.php7_protobuf_c:
return "php7_protobuf_c"
return "php7"
class JavaLanguage(Language):
def worker_cmdline(self):
return ["tools/run_tests/performance/run_worker_java.sh"]
def worker_port_offset(self):
return 400
def scenarios(self):
yield _ping_pong_scenario(
"java_protobuf_async_unary_5000rpcs_1KB_psm",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024,
resp_size=1024,
outstanding=5000,
channels=1,
num_clients=1,
secure=False,
async_server_threads=1,
warmup_seconds=JAVA_WARMUP_SECONDS,
categories=[PSM],
)
for secure in [True, False]:
secstr = "secure" if secure else "insecure"
smoketest_categories = ([SMOKETEST] if secure else []) + [SCALABLE]
yield _ping_pong_scenario(
"java_generic_async_streaming_ping_pong_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
use_generic_payload=True,
async_server_threads=1,
secure=secure,
warmup_seconds=JAVA_WARMUP_SECONDS,
categories=smoketest_categories,
)
yield _ping_pong_scenario(
"java_protobuf_async_streaming_ping_pong_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
async_server_threads=1,
secure=secure,
warmup_seconds=JAVA_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"java_protobuf_async_unary_ping_pong_%s" % secstr,
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
async_server_threads=1,
secure=secure,
warmup_seconds=JAVA_WARMUP_SECONDS,
categories=smoketest_categories,
)
yield _ping_pong_scenario(
"java_protobuf_unary_ping_pong_%s" % secstr,
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
async_server_threads=1,
secure=secure,
warmup_seconds=JAVA_WARMUP_SECONDS,
)
yield _ping_pong_scenario(
"java_protobuf_async_unary_qps_unconstrained_%s" % secstr,
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
secure=secure,
warmup_seconds=JAVA_WARMUP_SECONDS,
categories=smoketest_categories + [SCALABLE],
)
yield _ping_pong_scenario(
"java_protobuf_async_streaming_qps_unconstrained_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
secure=secure,
warmup_seconds=JAVA_WARMUP_SECONDS,
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"java_generic_async_streaming_qps_unconstrained_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=secure,
warmup_seconds=JAVA_WARMUP_SECONDS,
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"java_generic_async_streaming_qps_one_server_core_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async-limited",
use_generic_payload=True,
async_server_threads=1,
secure=secure,
warmup_seconds=JAVA_WARMUP_SECONDS,
)
# TODO(jtattermusch): add scenarios java vs C++
def __str__(self):
return "java"
class GoLanguage(Language):
def worker_cmdline(self):
return ["tools/run_tests/performance/run_worker_go.sh"]
def worker_port_offset(self):
return 600
def scenarios(self):
yield _ping_pong_scenario(
"go_protobuf_async_unary_5000rpcs_1KB_psm",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024,
resp_size=1024,
outstanding=5000,
channels=1,
num_clients=1,
secure=False,
async_server_threads=1,
categories=[PSM],
)
for secure in [True, False]:
secstr = "secure" if secure else "insecure"
smoketest_categories = ([SMOKETEST] if secure else []) + [SCALABLE]
# ASYNC_GENERIC_SERVER for Go actually uses a sync streaming server,
# but that's mostly because of lack of better name of the enum value.
yield _ping_pong_scenario(
"go_generic_sync_streaming_ping_pong_%s" % secstr,
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
use_generic_payload=True,
async_server_threads=1,
secure=secure,
categories=smoketest_categories,
)
yield _ping_pong_scenario(
"go_protobuf_sync_streaming_ping_pong_%s" % secstr,
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
async_server_threads=1,
secure=secure,
)
yield _ping_pong_scenario(
"go_protobuf_sync_unary_ping_pong_%s" % secstr,
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
async_server_threads=1,
secure=secure,
categories=smoketest_categories,
)
# unconstrained_client='async' is intended (client uses goroutines)
yield _ping_pong_scenario(
"go_protobuf_sync_unary_qps_unconstrained_%s" % secstr,
rpc_type="UNARY",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
unconstrained_client="async",
secure=secure,
categories=smoketest_categories + [SCALABLE],
)
# unconstrained_client='async' is intended (client uses goroutines)
yield _ping_pong_scenario(
"go_protobuf_sync_streaming_qps_unconstrained_%s" % secstr,
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="SYNC_SERVER",
unconstrained_client="async",
secure=secure,
categories=[SCALABLE],
)
# unconstrained_client='async' is intended (client uses goroutines)
# ASYNC_GENERIC_SERVER for Go actually uses a sync streaming server,
# but that's mostly because of lack of better name of the enum value.
yield _ping_pong_scenario(
"go_generic_sync_streaming_qps_unconstrained_%s" % secstr,
rpc_type="STREAMING",
client_type="SYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=secure,
categories=[SCALABLE],
)
# TODO(jtattermusch): add scenarios go vs C++
def __str__(self):
return "go"
class NodeLanguage(Language):
def worker_cmdline(self):
fixture = "js_js"
return [
"tools/run_tests/performance/run_worker_node.sh",
fixture,
"--benchmark_impl=grpc",
]
def worker_port_offset(self):
return 1100
def scenarios(self):
yield _ping_pong_scenario(
"node_to_node_protobuf_async_unary_5000rpcs_1KB_psm",
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
req_size=1024,
resp_size=1024,
outstanding=5000,
channels=1,
num_clients=1,
secure=False,
async_server_threads=1,
categories=[PSM],
)
for secure in [True, False]:
secstr = "secure" if secure else "insecure"
smoketest_categories = ([SMOKETEST] if secure else []) + [SCALABLE]
yield _ping_pong_scenario(
"node_to_node_generic_async_streaming_ping_pong_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
use_generic_payload=True,
async_server_threads=1,
secure=secure,
categories=smoketest_categories,
)
yield _ping_pong_scenario(
"node_to_node_protobuf_async_streaming_ping_pong_%s" % secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
async_server_threads=1,
secure=secure,
)
yield _ping_pong_scenario(
"node_to_node_protobuf_async_unary_ping_pong_%s" % secstr,
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
async_server_threads=1,
secure=secure,
categories=smoketest_categories,
)
yield _ping_pong_scenario(
"node_to_node_protobuf_async_unary_qps_unconstrained_%s"
% secstr,
rpc_type="UNARY",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
secure=secure,
categories=smoketest_categories + [SCALABLE],
)
yield _ping_pong_scenario(
"node_to_node_protobuf_async_streaming_qps_unconstrained_%s"
% secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_SERVER",
unconstrained_client="async",
secure=secure,
categories=[SCALABLE],
)
yield _ping_pong_scenario(
"node_to_node_generic_async_streaming_qps_unconstrained_%s"
% secstr,
rpc_type="STREAMING",
client_type="ASYNC_CLIENT",
server_type="ASYNC_GENERIC_SERVER",
unconstrained_client="async",
use_generic_payload=True,
secure=secure,
categories=[SCALABLE],
)
# TODO(murgatroid99): add scenarios node vs C++
def __str__(self):
return "node"
LANGUAGES = {
"c++": CXXLanguage(),
"csharp": CSharpLanguage(),
"dotnet": DotnetLanguage(),
"ruby": RubyLanguage(),
"php7": Php7Language(),
"php7_protobuf_c": Php7Language(php7_protobuf_c=True),
"java": JavaLanguage(),
"python": PythonLanguage(),
"python_asyncio": PythonAsyncIOLanguage(),
"go": GoLanguage(),
"node": NodeLanguage(), # 'node' means 'node_purejs'.
}