#!/usr/bin/env python2.7
# Copyright 2017, 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 os
import subprocess
import sys
import python_utils.jobset as jobset
import python_utils.start_port_server as start_port_server
flamegraph_dir = os.path.join(os.path.expanduser('~'), 'FlameGraph')
os.chdir(os.path.join(os.path.dirname(sys.argv[0]), '../..'))
if not os.path.exists('reports'):
os.makedirs('reports')
port_server_port = 32766
start_port_server.start_port_server(port_server_port)
def fnize(s):
out = ''
for c in s:
if c in '<>, /':
if len(out) and out[-1] == '_': continue
out += '_'
else:
out += c
return out
# index html
index_html = """
Microbenchmark Results
"""
def heading(name):
global index_html
index_html += "%s
\n" % name
def link(txt, tgt):
global index_html
index_html += "%s
\n" % (tgt, txt)
benchmarks = []
profile_analysis = []
cleanup = []
for bm_name in sys.argv[1:]:
# generate latency profiles
heading('Latency Profiles: %s' % bm_name)
subprocess.check_call(
['make', bm_name,
'CONFIG=basicprof', '-j', '%d' % multiprocessing.cpu_count()])
for line in subprocess.check_output(['bins/basicprof/%s' % bm_name,
'--benchmark_list_tests']).splitlines():
link(line, '%s.txt' % fnize(line))
benchmarks.append(
jobset.JobSpec(['bins/basicprof/%s' % bm_name, '--benchmark_filter=^%s$' % line],
environ={'LATENCY_TRACE': '%s.trace' % fnize(line)}))
profile_analysis.append(
jobset.JobSpec([sys.executable,
'tools/profiling/latency_profile/profile_analyzer.py',
'--source', '%s.trace' % fnize(line), '--fmt', 'simple',
'--out', 'reports/%s.txt' % fnize(line)], timeout_seconds=None))
cleanup.append(jobset.JobSpec(['rm', '%s.trace' % fnize(line)]))
# periodically flush out the list of jobs: profile_analysis jobs at least
# consume upwards of five gigabytes of ram in some cases, and so analysing
# hundreds of them at once is impractical -- but we want at least some
# concurrency or the work takes too long
if len(benchmarks) >= min(4, multiprocessing.cpu_count()):
# run up to half the cpu count: each benchmark can use up to two cores
# (one for the microbenchmark, one for the data flush)
jobset.run(benchmarks, maxjobs=max(1, multiprocessing.cpu_count()/2),
add_env={'GRPC_TEST_PORT_SERVER': 'localhost:%d' % port_server_port})
jobset.run(profile_analysis, maxjobs=multiprocessing.cpu_count())
jobset.run(cleanup, maxjobs=multiprocessing.cpu_count())
benchmarks = []
profile_analysis = []
cleanup = []
# run the remaining benchmarks that weren't flushed
if len(benchmarks):
jobset.run(benchmarks, maxjobs=max(1, multiprocessing.cpu_count()/2),
add_env={'GRPC_TEST_PORT_SERVER': 'localhost:%d' % port_server_port})
jobset.run(profile_analysis, maxjobs=multiprocessing.cpu_count())
jobset.run(cleanup, maxjobs=multiprocessing.cpu_count())
# generate flamegraphs
heading('Flamegraphs: %s' % bm_name)
subprocess.check_call(
['make', bm_name,
'CONFIG=mutrace', '-j', '%d' % multiprocessing.cpu_count()])
for line in subprocess.check_output(['bins/mutrace/%s' % bm_name,
'--benchmark_list_tests']).splitlines():
subprocess.check_call(['sudo', 'perf', 'record', '-g', '-c', '1000',
'bins/mutrace/%s' % bm_name,
'--benchmark_filter=^%s$' % line,
'--benchmark_min_time=20'])
with open('bm.perf', 'w') as f:
f.write(subprocess.check_output(['sudo', 'perf', 'script']))
with open('bm.folded', 'w') as f:
f.write(subprocess.check_output([
'%s/stackcollapse-perf.pl' % flamegraph_dir, 'bm.perf']))
link(line, '%s.svg' % fnize(line))
with open('reports/%s.svg' % fnize(line), 'w') as f:
f.write(subprocess.check_output([
'%s/flamegraph.pl' % flamegraph_dir, 'bm.folded']))
index_html += "\n\n"
with open('reports/index.html', 'w') as f:
f.write(index_html)