give run_performance_tests a main method

In this way, external users can add perf tests for other languages
by adding to scenario_config.LANGUAGES then calling
run_performance_tests.main.
pull/12216/head
Michael Darakananda 7 years ago
parent f4af6eb2f4
commit f570fb2743
  1. 359
      tools/run_tests/run_performance_tests.py

@ -281,18 +281,18 @@ def create_qpsworkers(languages, worker_hosts, perf_cmd=None):
for worker_idx, worker in enumerate(workers)] for worker_idx, worker in enumerate(workers)]
def perf_report_processor_job(worker_host, perf_base_name, output_filename): def perf_report_processor_job(worker_host, perf_base_name, output_filename, flame_graph_reports):
print('Creating perf report collection job for %s' % worker_host) print('Creating perf report collection job for %s' % worker_host)
cmd = '' cmd = ''
if worker_host != 'localhost': if worker_host != 'localhost':
user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, worker_host) user_at_host = "%s@%s" % (_REMOTE_HOST_USERNAME, worker_host)
cmd = "USER_AT_HOST=%s OUTPUT_FILENAME=%s OUTPUT_DIR=%s PERF_BASE_NAME=%s\ cmd = "USER_AT_HOST=%s OUTPUT_FILENAME=%s OUTPUT_DIR=%s PERF_BASE_NAME=%s\
tools/run_tests/performance/process_remote_perf_flamegraphs.sh" \ tools/run_tests/performance/process_remote_perf_flamegraphs.sh" \
% (user_at_host, output_filename, args.flame_graph_reports, perf_base_name) % (user_at_host, output_filename, flame_graph_reports, perf_base_name)
else: else:
cmd = "OUTPUT_FILENAME=%s OUTPUT_DIR=%s PERF_BASE_NAME=%s\ cmd = "OUTPUT_FILENAME=%s OUTPUT_DIR=%s PERF_BASE_NAME=%s\
tools/run_tests/performance/process_local_perf_flamegraphs.sh" \ tools/run_tests/performance/process_local_perf_flamegraphs.sh" \
% (output_filename, args.flame_graph_reports, perf_base_name) % (output_filename, flame_graph_reports, perf_base_name)
return jobset.JobSpec(cmdline=cmd, return jobset.JobSpec(cmdline=cmd,
timeout_seconds=3*60, timeout_seconds=3*60,
@ -332,7 +332,7 @@ def create_scenarios(languages, workers_by_lang, remote_host=None, regex='.*',
for language in languages: for language in languages:
for scenario_json in language.scenarios(): for scenario_json in language.scenarios():
if re.search(args.regex, scenario_json['name']): if re.search(regex, scenario_json['name']):
categories = scenario_json.get('CATEGORIES', ['scalable', 'smoketest']) categories = scenario_json.get('CATEGORIES', ['scalable', 'smoketest'])
if category in categories or category == 'all': if category in categories or category == 'all':
workers = workers_by_lang[str(language)][:] workers = workers_by_lang[str(language)][:]
@ -376,7 +376,7 @@ def create_scenarios(languages, workers_by_lang, remote_host=None, regex='.*',
return scenarios return scenarios
def finish_qps_workers(jobs): def finish_qps_workers(jobs, qpsworker_jobs):
"""Waits for given jobs to finish and eventually kills them.""" """Waits for given jobs to finish and eventually kills them."""
retries = 0 retries = 0
num_killed = 0 num_killed = 0
@ -399,10 +399,10 @@ profile_output_files = []
# Collect perf text reports and flamegraphs if perf_cmd was used # Collect perf text reports and flamegraphs if perf_cmd was used
# Note the base names of perf text reports are used when creating and processing # Note the base names of perf text reports are used when creating and processing
# perf data. The scenario name uniqifies the output name in the final # perf data. The scenario name uniqifies the output name in the final
# perf reports directory. # perf reports directory.
# Alos, the perf profiles need to be fetched and processed after each scenario # Alos, the perf profiles need to be fetched and processed after each scenario
# in order to avoid clobbering the output files. # in order to avoid clobbering the output files.
def run_collect_perf_profile_jobs(hosts_and_base_names, scenario_name): def run_collect_perf_profile_jobs(hosts_and_base_names, scenario_name, flame_graph_reports):
perf_report_jobs = [] perf_report_jobs = []
global profile_output_files global profile_output_files
for host_and_port in hosts_and_base_names: for host_and_port in hosts_and_base_names:
@ -411,181 +411,184 @@ def run_collect_perf_profile_jobs(hosts_and_base_names, scenario_name):
# from the base filename, create .svg output filename # from the base filename, create .svg output filename
host = host_and_port.split(':')[0] host = host_and_port.split(':')[0]
profile_output_files.append('%s.svg' % output_filename) profile_output_files.append('%s.svg' % output_filename)
perf_report_jobs.append(perf_report_processor_job(host, perf_base_name, output_filename)) perf_report_jobs.append(perf_report_processor_job(host, perf_base_name, output_filename, flame_graph_reports))
jobset.message('START', 'Collecting perf reports from qps workers', do_newline=True) jobset.message('START', 'Collecting perf reports from qps workers', do_newline=True)
failures, _ = jobset.run(perf_report_jobs, newline_on_success=True, maxjobs=1, clear_alarms=False) failures, _ = jobset.run(perf_report_jobs, newline_on_success=True, maxjobs=1, clear_alarms=False)
jobset.message('END', 'Collecting perf reports from qps workers', do_newline=True) jobset.message('END', 'Collecting perf reports from qps workers', do_newline=True)
return failures return failures
def main():
argp = argparse.ArgumentParser(description='Run performance tests.')
argp.add_argument('-l', '--language',
choices=['all'] + sorted(scenario_config.LANGUAGES.keys()),
nargs='+',
required=True,
help='Languages to benchmark.')
argp.add_argument('--remote_driver_host',
default=None,
help='Run QPS driver on given host. By default, QPS driver is run locally.')
argp.add_argument('--remote_worker_host',
nargs='+',
default=[],
help='Worker hosts where to start QPS workers.')
argp.add_argument('--dry_run',
default=False,
action='store_const',
const=True,
help='Just list scenarios to be run, but don\'t run them.')
argp.add_argument('-r', '--regex', default='.*', type=str,
help='Regex to select scenarios to run.')
argp.add_argument('--bq_result_table', default=None, type=str,
help='Bigquery "dataset.table" to upload results to.')
argp.add_argument('--category',
choices=['smoketest','all','scalable','sweep'],
default='all',
help='Select a category of tests to run.')
argp.add_argument('--netperf',
default=False,
action='store_const',
const=True,
help='Run netperf benchmark as one of the scenarios.')
argp.add_argument('--server_cpu_load',
default=0, type=int,
help='Select a targeted server cpu load to run. 0 means ignore this flag')
argp.add_argument('-x', '--xml_report', default='report.xml', type=str,
help='Name of XML report file to generate.')
argp.add_argument('--perf_args',
help=('Example usage: "--perf_args=record -F 99 -g". '
'Wrap QPS workers in a perf command '
'with the arguments to perf specified here. '
'".svg" flame graph profiles will be '
'created for each Qps Worker on each scenario. '
'Files will output to "<repo_root>/<args.flame_graph_reports>" '
'directory. Output files from running the worker '
'under perf are saved in the repo root where its ran. '
'Note that the perf "-g" flag is necessary for '
'flame graphs generation to work (assuming the binary '
'being profiled uses frame pointers, check out '
'"--call-graph dwarf" option using libunwind otherwise.) '
'Also note that the entire "--perf_args=<arg(s)>" must '
'be wrapped in quotes as in the example usage. '
'If the "--perg_args" is unspecified, "perf" will '
'not be used at all. '
'See http://www.brendangregg.com/perf.html '
'for more general perf examples.'))
argp.add_argument('--skip_generate_flamegraphs',
default=False,
action='store_const',
const=True,
help=('Turn flame graph generation off. '
'May be useful if "perf_args" arguments do not make sense for '
'generating flamegraphs (e.g., "--perf_args=stat ...")'))
argp.add_argument('-f', '--flame_graph_reports', default='perf_reports', type=str,
help='Name of directory to output flame graph profiles to, if any are created.')
args = argp.parse_args()
languages = set(scenario_config.LANGUAGES[l]
for l in itertools.chain.from_iterable(
six.iterkeys(scenario_config.LANGUAGES) if x == 'all'
else [x] for x in args.language))
# Put together set of remote hosts where to run and build
remote_hosts = set()
if args.remote_worker_host:
for host in args.remote_worker_host:
remote_hosts.add(host)
if args.remote_driver_host:
remote_hosts.add(args.remote_driver_host)
if not args.dry_run:
if remote_hosts:
archive_repo(languages=[str(l) for l in languages])
prepare_remote_hosts(remote_hosts, prepare_local=True)
else:
prepare_remote_hosts([], prepare_local=True)
build_local = False
if not args.remote_driver_host:
build_local = True
if not args.dry_run:
build_on_remote_hosts(remote_hosts, languages=[str(l) for l in languages], build_local=build_local)
perf_cmd = None
if args.perf_args:
print('Running workers under perf profiler')
# Expect /usr/bin/perf to be installed here, as is usual
perf_cmd = ['/usr/bin/perf']
perf_cmd.extend(re.split('\s+', args.perf_args))
qpsworker_jobs = create_qpsworkers(languages, args.remote_worker_host, perf_cmd=perf_cmd)
# get list of worker addresses for each language.
workers_by_lang = dict([(str(language), []) for language in languages])
for job in qpsworker_jobs:
workers_by_lang[str(job.language)].append(job)
scenarios = create_scenarios(languages,
workers_by_lang=workers_by_lang,
remote_host=args.remote_driver_host,
regex=args.regex,
category=args.category,
bq_result_table=args.bq_result_table,
netperf=args.netperf,
netperf_hosts=args.remote_worker_host,
server_cpu_load=args.server_cpu_load)
if not scenarios:
raise Exception('No scenarios to run')
total_scenario_failures = 0
qps_workers_killed = 0
merged_resultset = {}
perf_report_failures = 0
for scenario in scenarios:
if args.dry_run:
print(scenario.name)
else:
scenario_failures = 0
try:
for worker in scenario.workers:
worker.start()
jobs = [scenario.jobspec]
if scenario.workers:
jobs.append(create_quit_jobspec(scenario.workers, remote_host=args.remote_driver_host))
scenario_failures, resultset = jobset.run(jobs, newline_on_success=True, maxjobs=1, clear_alarms=False)
total_scenario_failures += scenario_failures
merged_resultset = dict(itertools.chain(six.iteritems(merged_resultset),
six.iteritems(resultset)))
finally:
# Consider qps workers that need to be killed as failures
qps_workers_killed += finish_qps_workers(scenario.workers, qpsworker_jobs)
if perf_cmd and scenario_failures == 0 and not args.skip_generate_flamegraphs:
workers_and_base_names = {}
for worker in scenario.workers:
if not worker.perf_file_base_name:
raise Exception('using perf buf perf report filename is unspecified')
workers_and_base_names[worker.host_and_port] = worker.perf_file_base_name
perf_report_failures += run_collect_perf_profile_jobs(workers_and_base_names, scenario.name, args.flame_graph_reports)
# Still write the index.html even if some scenarios failed.
# 'profile_output_files' will only have names for scenarios that passed
if perf_cmd and not args.skip_generate_flamegraphs:
# write the index fil to the output dir, with all profiles from all scenarios/workers
report_utils.render_perf_profiling_results('%s/index.html' % args.flame_graph_reports, profile_output_files)
report_utils.render_junit_xml_report(merged_resultset, args.xml_report,
suite_name='benchmarks')
if total_scenario_failures > 0 or qps_workers_killed > 0:
print('%s scenarios failed and %s qps worker jobs killed' % (total_scenario_failures, qps_workers_killed))
sys.exit(1)
argp = argparse.ArgumentParser(description='Run performance tests.') if perf_report_failures > 0:
argp.add_argument('-l', '--language', print('%s perf profile collection jobs failed' % perf_report_failures)
choices=['all'] + sorted(scenario_config.LANGUAGES.keys()), sys.exit(1)
nargs='+',
required=True, if __name__ == "__main__":
help='Languages to benchmark.') main()
argp.add_argument('--remote_driver_host',
default=None,
help='Run QPS driver on given host. By default, QPS driver is run locally.')
argp.add_argument('--remote_worker_host',
nargs='+',
default=[],
help='Worker hosts where to start QPS workers.')
argp.add_argument('--dry_run',
default=False,
action='store_const',
const=True,
help='Just list scenarios to be run, but don\'t run them.')
argp.add_argument('-r', '--regex', default='.*', type=str,
help='Regex to select scenarios to run.')
argp.add_argument('--bq_result_table', default=None, type=str,
help='Bigquery "dataset.table" to upload results to.')
argp.add_argument('--category',
choices=['smoketest','all','scalable','sweep'],
default='all',
help='Select a category of tests to run.')
argp.add_argument('--netperf',
default=False,
action='store_const',
const=True,
help='Run netperf benchmark as one of the scenarios.')
argp.add_argument('--server_cpu_load',
default=0, type=int,
help='Select a targeted server cpu load to run. 0 means ignore this flag')
argp.add_argument('-x', '--xml_report', default='report.xml', type=str,
help='Name of XML report file to generate.')
argp.add_argument('--perf_args',
help=('Example usage: "--perf_args=record -F 99 -g". '
'Wrap QPS workers in a perf command '
'with the arguments to perf specified here. '
'".svg" flame graph profiles will be '
'created for each Qps Worker on each scenario. '
'Files will output to "<repo_root>/<args.flame_graph_reports>" '
'directory. Output files from running the worker '
'under perf are saved in the repo root where its ran. '
'Note that the perf "-g" flag is necessary for '
'flame graphs generation to work (assuming the binary '
'being profiled uses frame pointers, check out '
'"--call-graph dwarf" option using libunwind otherwise.) '
'Also note that the entire "--perf_args=<arg(s)>" must '
'be wrapped in quotes as in the example usage. '
'If the "--perg_args" is unspecified, "perf" will '
'not be used at all. '
'See http://www.brendangregg.com/perf.html '
'for more general perf examples.'))
argp.add_argument('--skip_generate_flamegraphs',
default=False,
action='store_const',
const=True,
help=('Turn flame graph generation off. '
'May be useful if "perf_args" arguments do not make sense for '
'generating flamegraphs (e.g., "--perf_args=stat ...")'))
argp.add_argument('-f', '--flame_graph_reports', default='perf_reports', type=str,
help='Name of directory to output flame graph profiles to, if any are created.')
args = argp.parse_args()
languages = set(scenario_config.LANGUAGES[l]
for l in itertools.chain.from_iterable(
six.iterkeys(scenario_config.LANGUAGES) if x == 'all'
else [x] for x in args.language))
# Put together set of remote hosts where to run and build
remote_hosts = set()
if args.remote_worker_host:
for host in args.remote_worker_host:
remote_hosts.add(host)
if args.remote_driver_host:
remote_hosts.add(args.remote_driver_host)
if not args.dry_run:
if remote_hosts:
archive_repo(languages=[str(l) for l in languages])
prepare_remote_hosts(remote_hosts, prepare_local=True)
else:
prepare_remote_hosts([], prepare_local=True)
build_local = False
if not args.remote_driver_host:
build_local = True
if not args.dry_run:
build_on_remote_hosts(remote_hosts, languages=[str(l) for l in languages], build_local=build_local)
perf_cmd = None
if args.perf_args:
print('Running workers under perf profiler')
# Expect /usr/bin/perf to be installed here, as is usual
perf_cmd = ['/usr/bin/perf']
perf_cmd.extend(re.split('\s+', args.perf_args))
qpsworker_jobs = create_qpsworkers(languages, args.remote_worker_host, perf_cmd=perf_cmd)
# get list of worker addresses for each language.
workers_by_lang = dict([(str(language), []) for language in languages])
for job in qpsworker_jobs:
workers_by_lang[str(job.language)].append(job)
scenarios = create_scenarios(languages,
workers_by_lang=workers_by_lang,
remote_host=args.remote_driver_host,
regex=args.regex,
category=args.category,
bq_result_table=args.bq_result_table,
netperf=args.netperf,
netperf_hosts=args.remote_worker_host,
server_cpu_load=args.server_cpu_load)
if not scenarios:
raise Exception('No scenarios to run')
total_scenario_failures = 0
qps_workers_killed = 0
merged_resultset = {}
perf_report_failures = 0
for scenario in scenarios:
if args.dry_run:
print(scenario.name)
else:
scenario_failures = 0
try:
for worker in scenario.workers:
worker.start()
jobs = [scenario.jobspec]
if scenario.workers:
jobs.append(create_quit_jobspec(scenario.workers, remote_host=args.remote_driver_host))
scenario_failures, resultset = jobset.run(jobs, newline_on_success=True, maxjobs=1, clear_alarms=False)
total_scenario_failures += scenario_failures
merged_resultset = dict(itertools.chain(six.iteritems(merged_resultset),
six.iteritems(resultset)))
finally:
# Consider qps workers that need to be killed as failures
qps_workers_killed += finish_qps_workers(scenario.workers)
if perf_cmd and scenario_failures == 0 and not args.skip_generate_flamegraphs:
workers_and_base_names = {}
for worker in scenario.workers:
if not worker.perf_file_base_name:
raise Exception('using perf buf perf report filename is unspecified')
workers_and_base_names[worker.host_and_port] = worker.perf_file_base_name
perf_report_failures += run_collect_perf_profile_jobs(workers_and_base_names, scenario.name)
# Still write the index.html even if some scenarios failed.
# 'profile_output_files' will only have names for scenarios that passed
if perf_cmd and not args.skip_generate_flamegraphs:
# write the index fil to the output dir, with all profiles from all scenarios/workers
report_utils.render_perf_profiling_results('%s/index.html' % args.flame_graph_reports, profile_output_files)
report_utils.render_junit_xml_report(merged_resultset, args.xml_report,
suite_name='benchmarks')
if total_scenario_failures > 0 or qps_workers_killed > 0:
print('%s scenarios failed and %s qps worker jobs killed' % (total_scenario_failures, qps_workers_killed))
sys.exit(1)
if perf_report_failures > 0:
print('%s perf profile collection jobs failed' % perf_report_failures)
sys.exit(1)

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