blob: b09f387a6b07abad782f56c617b359afa26b5c49 [file] [log] [blame]
# This import depends on the automake rule protoc_middleman, please make sure
# protoc_middleman has been built before run this file.
import json
import re
import os.path
# BEGIN OPENSOURCE
import sys
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir))
# END OPENSOURCE
import tmp.benchmarks_pb2 as benchmarks_pb2
__file_size_map = {}
def __get_data_size(filename):
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + "/../" + filename
if filename in __file_size_map:
return __file_size_map[filename]
benchmark_dataset = benchmarks_pb2.BenchmarkDataset()
benchmark_dataset.ParseFromString(
open(filename, "rb").read())
size = 0
count = 0
for payload in benchmark_dataset.payload:
size += len(payload)
count += 1
__file_size_map[filename] = (size, 1.0 * size / count)
return size, 1.0 * size / count
def __extract_file_name(file_name):
name_list = re.split(r"[/\.]", file_name)
short_file_name = ""
for name in name_list:
if name[:14] == "google_message":
short_file_name = name
return short_file_name
__results = []
# CPP results example:
# [
# "benchmarks": [
# {
# "bytes_per_second": int,
# "cpu_time_ns": double,
# "iterations": int,
# "name: string,
# "real_time_ns: double,
# ...
# },
# ...
# ],
# ...
# ]
def __parse_cpp_result(filename):
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename, "rb") as f:
results = json.loads(f.read())
for benchmark in results["benchmarks"]:
data_filename = "".join(
re.split("(_parse_|_serialize)", benchmark["name"])[0])
behavior = benchmark["name"][len(data_filename) + 1:]
if data_filename[:2] == "BM":
data_filename = data_filename[3:]
__results.append({
"language": "cpp",
"dataFilename": data_filename,
"behavior": behavior,
"throughput": benchmark["bytes_per_second"] / 2.0 ** 20
})
# Synthetic benchmark results example:
# [
# "benchmarks": [
# {
# "cpu_time_ns": double,
# "iterations": int,
# "name: string,
# "real_time_ns: double,
# ...
# },
# ...
# ],
# ...
# ]
def __parse_synthetic_result(filename):
if filename == "":
return
if filename[0] != "/":
filename = os.path.dirname(os.path.abspath(__file__)) + "/" + filename
with open(filename, "rb") as f:
results = json.loads(f.read())
for benchmark in results["benchmarks"]:
__results.append({
"language": "cpp",
"dataFilename": "",
"behavior": "synthetic",
"throughput": 10.0**9 / benchmark["cpu_time_ns"]
})
# Python results example:
# [
# [
# {
# "filename": string,
# "benchmarks": {
# behavior: results,
# ...
# },
# },
# ...
# ], #pure-python
# ...
# ]
def __parse_python_result(filename):
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename, "rb") as f:
results_list = json.loads(f.read())
for results in results_list:
for result in results:
_, avg_size = __get_data_size(result["filename"])
for behavior in result["benchmarks"]:
__results.append({
"language": "python",
"dataFilename": __extract_file_name(result["filename"]),
"behavior": behavior,
"throughput": result["benchmarks"][behavior]
})
# Java results example:
# [
# {
# "id": string,
# "instrumentSpec": {...},
# "measurements": [
# {
# "weight": float,
# "value": {
# "magnitude": float,
# "unit": string
# },
# ...
# },
# ...
# ],
# "run": {...},
# "scenario": {
# "benchmarkSpec": {
# "methodName": string,
# "parameters": {
# defined parameters in the benchmark: parameters value
# },
# ...
# },
# ...
# }
#
# },
# ...
# ]
def __parse_java_result(filename):
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename, "rb") as f:
results = json.loads(f.read())
for result in results:
total_weight = 0
total_value = 0
for measurement in result["measurements"]:
total_weight += measurement["weight"]
total_value += measurement["value"]["magnitude"]
avg_time = total_value * 1.0 / total_weight
total_size, _ = __get_data_size(
result["scenario"]["benchmarkSpec"]["parameters"]["dataFile"])
__results.append({
"language": "java",
"throughput": total_size / avg_time * 1e9 / 2 ** 20,
"behavior": result["scenario"]["benchmarkSpec"]["methodName"],
"dataFilename": __extract_file_name(
result["scenario"]["benchmarkSpec"]["parameters"]["dataFile"])
})
# Go benchmark results:
#
# goos: linux
# goarch: amd64
# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Unmarshal-12 3000 705784 ns/op
# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Marshal-12 2000 634648 ns/op
# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Size-12 5000 244174 ns/op
# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Clone-12 300 4120954 ns/op
# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Merge-12 300 4108632 ns/op
# PASS
# ok _/usr/local/google/home/yilunchong/mygit/protobuf/benchmarks 124.173s
def __parse_go_result(filename):
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename, "rb") as f:
for line in f:
result_list = re.split(r"[\ \t]+", line)
if result_list[0][:9] != "Benchmark":
continue
first_slash_index = result_list[0].find('/')
last_slash_index = result_list[0].rfind('/')
full_filename = result_list[0][first_slash_index+1:last_slash_index]
total_bytes, _ = __get_data_size(full_filename)
behavior_with_suffix = result_list[0][last_slash_index+1:]
last_dash = behavior_with_suffix.rfind("-")
if last_dash == -1:
behavior = behavior_with_suffix
else:
behavior = behavior_with_suffix[:last_dash]
__results.append({
"dataFilename": __extract_file_name(full_filename),
"throughput": total_bytes / float(result_list[2]) * 1e9 / 2 ** 20,
"behavior": behavior,
"language": "go"
})
# Self built json results example:
#
# [
# {
# "filename": string,
# "benchmarks": {
# behavior: results,
# ...
# },
# },
# ...
# ]
def __parse_custom_result(filename, language):
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename, "rb") as f:
results = json.loads(f.read())
for result in results:
_, avg_size = __get_data_size(result["filename"])
for behavior in result["benchmarks"]:
__results.append({
"language": language,
"dataFilename": __extract_file_name(result["filename"]),
"behavior": behavior,
"throughput": result["benchmarks"][behavior]
})
def __parse_js_result(filename, language):
return __parse_custom_result(filename, language)
def __parse_php_result(filename, language):
return __parse_custom_result(filename, language)
def get_result_from_file(cpp_file="",
java_file="",
python_file="",
go_file="",
synthetic_file="",
node_file="",
php_c_file="",
php_file=""):
results = {}
if cpp_file != "":
__parse_cpp_result(cpp_file)
if java_file != "":
__parse_java_result(java_file)
if python_file != "":
__parse_python_result(python_file)
if go_file != "":
__parse_go_result(go_file)
if synthetic_file != "":
__parse_synthetic_result(synthetic_file)
if node_file != "":
__parse_js_result(node_file, "node")
if php_file != "":
__parse_php_result(php_file, "php")
if php_c_file != "":
__parse_php_result(php_c_file, "php")
return __results