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#!/bin/bash
# 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.
# format argument via
# $ echo '{...}' | python -mjson.tool
read -r -d '' SCENARIOS_JSON_ARG <<'EOF'
{
"scenarios": [
{
"benchmark_seconds": 60,
"warmup_seconds": 5,
"client_config": {
"client_channels": 100,
"client_type": "ASYNC_CLIENT",
"histogram_params": {
"max_possible": 60000000000.0,
"resolution": 0.01
},
"load_params": {
"closed_loop": {}
},
"outstanding_rpcs_per_channel": 100,
"payload_config": {
"simple_params": {
"req_size": 0,
"resp_size": 0
}
},
"rpc_type": "UNARY",
"security_params": null
},
"name": "name_goes_here",
"num_clients": 1,
"num_servers": 1,
"server_config": {
"security_params": null,
"server_type": "ASYNC_SERVER"
},
"spawn_local_worker_count": -2
}
]
}
EOF
set -ex
cd $(dirname $0)/../../..
CPUS=`python -c 'import multiprocessing; print multiprocessing.cpu_count()'`
# try to use pypy for generating reports
# each trace dumps 7-8gig of text to disk, and processing this into a report is
# heavyweight - so any speed boost is worthwhile
# TODO(ctiller): consider rewriting report generation in C++ for performance
if which pypy >/dev/null; then
PYTHON=pypy
else
PYTHON=python2.7
fi
export config=mutrace
make CONFIG=$config -j$CPUS qps_json_driver
sudo perf record -F 997 -g bins/$config/qps_json_driver --scenarios_json="$SCENARIOS_JSON_ARG"
sudo perf report
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