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#!/bin/bash
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# Copyright 2016 gRPC authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# format argument via
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# $ echo '{...}' | python -mjson.tool
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read -r -d '' SCENARIOS_JSON_ARG <<'EOF'
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{
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"scenarios": [
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{
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"benchmark_seconds": 60,
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"warmup_seconds": 5,
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"client_config": {
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"client_channels": 100,
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"client_type": "ASYNC_CLIENT",
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"histogram_params": {
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"max_possible": 60000000000.0,
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"resolution": 0.01
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},
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"load_params": {
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"closed_loop": {}
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},
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"outstanding_rpcs_per_channel": 100,
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"payload_config": {
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"simple_params": {
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"req_size": 0,
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"resp_size": 0
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}
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},
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"rpc_type": "UNARY",
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"security_params": null
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},
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"name": "name_goes_here",
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"num_clients": 1,
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"num_servers": 1,
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"server_config": {
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"security_params": null,
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"server_type": "ASYNC_SERVER"
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},
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"spawn_local_worker_count": -2
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}
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]
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}
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EOF
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set -ex
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cd $(dirname $0)/../../..
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CPUS=`python -c 'import multiprocessing; print multiprocessing.cpu_count()'`
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# try to use pypy for generating reports
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# each trace dumps 7-8gig of text to disk, and processing this into a report is
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# heavyweight - so any speed boost is worthwhile
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# TODO(ctiller): consider rewriting report generation in C++ for performance
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if which pypy >/dev/null; then
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PYTHON=pypy
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else
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PYTHON=python2.7
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fi
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export config=mutrace
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make CONFIG=$config -j$CPUS qps_json_driver
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sudo perf record -F 997 -g bins/$config/qps_json_driver --scenarios_json="$SCENARIOS_JSON_ARG"
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sudo perf report
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