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denoland-deno/tools/benchmark.py
Andy Hayden 5960e398ec make tests quieter (#2468)
Don't mix every http request in with the tests output.
Don't print that the file servers are starting unless
-vv flag is passed.

Capture the output of run with run_output which returns
stdout, stderr and exit_code. Test against this rather
than relying on sys.exit.
2019-06-08 07:46:57 -04:00

258 lines
8.1 KiB
Python
Executable file

#!/usr/bin/env python
# Copyright 2018-2019 the Deno authors. All rights reserved. MIT license.
# Performs benchmark and append data to //website/data.json.
# If //website/data.json doesn't exist, this script tries to import it from
# gh-pages branch.
# To view the results locally run ./tools/http_server.py and visit
# http://localhost:4545/website
import os
import sys
import json
import time
import shutil
from util import root_path, run, run_output, build_path, executable_suffix
import tempfile
import http_server
import throughput_benchmark
from http_benchmark import http_benchmark
import prebuilt
import subprocess
# The list of the tuples of the benchmark name and arguments
exec_time_benchmarks = [
("hello", ["tests/002_hello.ts"]),
("relative_import", ["tests/003_relative_import.ts"]),
("error_001", ["tests/error_001.ts"]),
("cold_hello", ["--reload", "tests/002_hello.ts"]),
("cold_relative_import", ["--reload", "tests/003_relative_import.ts"]),
("workers_startup", ["tests/workers_startup_bench.ts"]),
("workers_round_robin", ["tests/workers_round_robin_bench.ts"]),
]
gh_pages_data_file = "gh-pages/data.json"
all_data_file = "website/data.json" # Includes all benchmark data.
recent_data_file = "website/recent.json" # Includes recent 20 benchmark data.
def read_json(filename):
with open(filename) as json_file:
return json.load(json_file)
def write_json(filename, data):
with open(filename, 'w') as outfile:
json.dump(data, outfile)
def import_data_from_gh_pages():
if os.path.exists(all_data_file):
return
try:
run([
"git", "clone", "--depth", "1", "-b", "gh-pages",
"https://github.com/denoland/deno.git", "gh-pages"
])
shutil.copy(gh_pages_data_file, all_data_file)
except ValueError:
write_json(all_data_file, []) # writes empty json data
def get_binary_sizes(build_dir):
path_dict = {
"deno":
os.path.join(build_dir, "deno" + executable_suffix),
"main.js":
os.path.join(build_dir, "gen/cli/bundle/main.js"),
"main.js.map":
os.path.join(build_dir, "gen/cli/bundle/main.js.map"),
"compiler.js":
os.path.join(build_dir, "gen/cli/bundle/compiler.js"),
"compiler.js.map":
os.path.join(build_dir, "gen/cli/bundle/compiler.js.map"),
"snapshot_deno.bin":
os.path.join(build_dir, "gen/cli/snapshot_deno.bin"),
"snapshot_compiler.bin":
os.path.join(build_dir, "gen/cli/snapshot_compiler.bin")
}
sizes = {}
for name, path in path_dict.items():
assert os.path.exists(path)
sizes[name] = os.path.getsize(path)
return sizes
def get_strace_summary_text(test_args):
f = tempfile.NamedTemporaryFile()
cmd = ["strace", "-c", "-f", "-o", f.name] + test_args
try:
subprocess.check_output(cmd)
except subprocess.CalledProcessError:
pass
return f.read()
def strace_parse(summary_text):
summary = {}
# clear empty lines
lines = list(filter(lambda x: x and x != "\n", summary_text.split("\n")))
if len(lines) < 4:
return {} # malformed summary
lines, total_line = lines[2:-2], lines[-1]
# data to dict for each line
for line in lines:
syscall_fields = line.split()
syscall_name = syscall_fields[-1]
syscall_dict = {}
if 5 <= len(syscall_fields) <= 6:
syscall_dict = {
"% time": float(syscall_fields[0]),
"seconds": float(syscall_fields[1]),
"usecs/call": int(syscall_fields[2]),
"calls": int(syscall_fields[3])
}
syscall_dict["errors"] = 0 if len(syscall_fields) < 6 else int(
syscall_fields[4])
summary[syscall_name] = syscall_dict
# record overall (total) data
total_fields = total_line.split()
summary["total"] = {
"% time": float(total_fields[0]),
"seconds": float(total_fields[1]),
"calls": int(total_fields[2]),
"errors": int(total_fields[3])
}
return summary
def get_strace_summary(test_args):
return strace_parse(get_strace_summary_text(test_args))
def run_throughput(deno_exe):
m = {}
m["100M_tcp"] = throughput_benchmark.tcp(deno_exe, 100)
m["100M_cat"] = throughput_benchmark.cat(deno_exe, 100)
m["10M_tcp"] = throughput_benchmark.tcp(deno_exe, 10)
m["10M_cat"] = throughput_benchmark.cat(deno_exe, 10)
return m
# "thread_count" and "syscall_count" are both calculated here.
def run_strace_benchmarks(deno_exe, new_data):
thread_count = {}
syscall_count = {}
for (name, args) in exec_time_benchmarks:
s = get_strace_summary([deno_exe, "run"] + args)
thread_count[name] = s["clone"]["calls"] + 1
syscall_count[name] = s["total"]["calls"]
new_data["thread_count"] = thread_count
new_data["syscall_count"] = syscall_count
# Takes the output from "/usr/bin/time -v" as input and extracts the 'maximum
# resident set size' and returns it in bytes.
def find_max_mem_in_bytes(time_v_output):
for line in time_v_output.split('\n'):
if 'maximum resident set size (kbytes)' in line.lower():
_, value = line.split(': ')
return int(value) * 1024
def run_max_mem_benchmark(deno_exe):
results = {}
for (name, args) in exec_time_benchmarks:
cmd = ["/usr/bin/time", "-v", deno_exe, "run"] + args
try:
out = subprocess.check_output(cmd, stderr=subprocess.STDOUT)
except subprocess.CalledProcessError:
pass
mem = find_max_mem_in_bytes(out)
results[name] = mem
return results
def run_exec_time(deno_exe, build_dir):
benchmark_file = os.path.join(build_dir, "hyperfine_results.json")
hyperfine = prebuilt.load_hyperfine()
run([
hyperfine, "--ignore-failure", "--export-json", benchmark_file,
"--warmup", "3"
] + [
deno_exe + " run " + " ".join(args)
for [_, args] in exec_time_benchmarks
])
hyperfine_results = read_json(benchmark_file)
results = {}
for [[name, _], data] in zip(exec_time_benchmarks,
hyperfine_results["results"]):
results[name] = {
"mean": data["mean"],
"stddev": data["stddev"],
"user": data["user"],
"system": data["system"],
"min": data["min"],
"max": data["max"]
}
return results
def run_http(build_dir, new_data):
stats = http_benchmark(build_dir)
new_data["req_per_sec"] = {k: v["req_per_sec"] for k, v in stats.items()}
new_data["max_latency"] = {k: v["max_latency"] for k, v in stats.items()}
def main(argv):
if len(argv) == 2:
build_dir = sys.argv[1]
elif len(argv) == 1:
build_dir = build_path()
else:
print "Usage: tools/benchmark.py [build_dir]"
sys.exit(1)
sha1 = run_output(["git", "rev-parse", "HEAD"],
exit_on_fail=True).out.strip()
http_server.spawn()
deno_exe = os.path.join(build_dir, "deno")
os.chdir(root_path)
import_data_from_gh_pages()
new_data = {
"created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ"),
"sha1": sha1,
}
# TODO(ry) The "benchmark" benchmark should actually be called "exec_time".
# When this is changed, the historical data in gh-pages branch needs to be
# changed too.
new_data["benchmark"] = run_exec_time(deno_exe, build_dir)
new_data["binary_size"] = get_binary_sizes(build_dir)
# Cannot run throughput benchmark on windows because they don't have nc or
# pipe.
if os.name != 'nt':
new_data["throughput"] = run_throughput(deno_exe)
run_http(build_dir, new_data)
if "linux" in sys.platform:
run_strace_benchmarks(deno_exe, new_data)
new_data["max_memory"] = run_max_mem_benchmark(deno_exe)
print "===== <BENCHMARK RESULTS>"
print json.dumps(new_data, indent=2)
print "===== </BENCHMARK RESULTS>"
all_data = read_json(all_data_file)
all_data.append(new_data)
write_json(all_data_file, all_data)
write_json(recent_data_file, all_data[-20:])
if __name__ == '__main__':
main(sys.argv)