Protocol Buffers - Google's data interchange format (grpc依赖)
https://developers.google.com/protocol-buffers/
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161 lines
6.6 KiB
161 lines
6.6 KiB
from __future__ import print_function |
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import sys |
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import os |
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import timeit |
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import math |
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import argparse |
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import fnmatch |
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import json |
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parser = argparse.ArgumentParser(description="Python protobuf benchmark") |
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parser.add_argument("data_files", metavar="dataFile", nargs="+", |
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help="testing data files.") |
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parser.add_argument("--json", action="store_const", dest="json", |
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const="yes", default="no", |
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help="Whether to output json results") |
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parser.add_argument("--behavior_prefix", dest="behavior_prefix", |
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help="The output json format's behavior's name's prefix", |
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default="") |
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# BEGIN CPP GENERATED MESSAGE |
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parser.add_argument("--cpp_generated", action="store_const", |
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dest="cpp_generated", const="yes", default="no", |
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help="Whether to link generated code library") |
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# END CPP GENERATED MESSAGE |
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args = parser.parse_args() |
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# BEGIN CPP GENERATED MESSAGE |
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# CPP generated code must be linked before importing the generated Python code |
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# for the descriptor can be found in the pool |
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if args.cpp_generated != "no": |
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sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) + "/.libs" ) |
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import libbenchmark_messages |
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sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) + "/tmp" ) |
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# END CPP GENERATED MESSAGE |
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import datasets.google_message1.proto2.benchmark_message1_proto2_pb2 as benchmark_message1_proto2_pb2 |
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import datasets.google_message1.proto3.benchmark_message1_proto3_pb2 as benchmark_message1_proto3_pb2 |
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import datasets.google_message2.benchmark_message2_pb2 as benchmark_message2_pb2 |
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import datasets.google_message3.benchmark_message3_pb2 as benchmark_message3_pb2 |
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import datasets.google_message4.benchmark_message4_pb2 as benchmark_message4_pb2 |
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import benchmarks_pb2 as benchmarks_pb2 |
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def run_one_test(filename): |
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data = open(filename, "rb").read() |
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benchmark_dataset = benchmarks_pb2.BenchmarkDataset() |
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benchmark_dataset.ParseFromString(data) |
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total_bytes = 0 |
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for payload in benchmark_dataset.payload: |
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total_bytes += len(payload) |
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benchmark_util = Benchmark(full_iteration=len(benchmark_dataset.payload), |
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module="py_benchmark", |
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setup_method="init", |
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total_bytes=total_bytes) |
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result={} |
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result["filename"] = filename |
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result["message_name"] = benchmark_dataset.message_name |
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result["benchmarks"] = {} |
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benchmark_util.set_test_method("parse_from_benchmark") |
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result["benchmarks"][args.behavior_prefix + "_parse_from_benchmark"] = \ |
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benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename)) |
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benchmark_util.set_test_method("serialize_to_benchmark") |
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result["benchmarks"][args.behavior_prefix + "_serialize_to_benchmark"] = \ |
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benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename)) |
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return result |
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def init(filename): |
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global benchmark_dataset, message_class, message_list, counter, total_bytes |
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message_list=[] |
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counter = 0 |
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total_bytes = 0 |
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data = open(filename, "rb").read() |
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benchmark_dataset = benchmarks_pb2.BenchmarkDataset() |
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benchmark_dataset.ParseFromString(data) |
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if benchmark_dataset.message_name == "benchmarks.proto3.GoogleMessage1": |
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message_class = benchmark_message1_proto3_pb2.GoogleMessage1 |
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elif benchmark_dataset.message_name == "benchmarks.proto2.GoogleMessage1": |
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message_class = benchmark_message1_proto2_pb2.GoogleMessage1 |
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elif benchmark_dataset.message_name == "benchmarks.proto2.GoogleMessage2": |
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message_class = benchmark_message2_pb2.GoogleMessage2 |
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elif benchmark_dataset.message_name == "benchmarks.google_message3.GoogleMessage3": |
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message_class = benchmark_message3_pb2.GoogleMessage3 |
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elif benchmark_dataset.message_name == "benchmarks.google_message4.GoogleMessage4": |
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message_class = benchmark_message4_pb2.GoogleMessage4 |
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else: |
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raise IOError("Message %s not found!" % (benchmark_dataset.message_name)) |
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for one_payload in benchmark_dataset.payload: |
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temp = message_class() |
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temp.ParseFromString(one_payload) |
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message_list.append(temp) |
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total_bytes += len(one_payload) |
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def parse_from_benchmark(): |
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global counter, message_class, benchmark_dataset |
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m = message_class().ParseFromString(benchmark_dataset.payload[counter % len(benchmark_dataset.payload)]) |
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counter = counter + 1 |
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def serialize_to_benchmark(): |
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global counter, message_list, message_class |
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s = message_list[counter % len(benchmark_dataset.payload)].SerializeToString() |
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counter = counter + 1 |
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class Benchmark: |
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def __init__(self, module=None, test_method=None, |
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setup_method=None, total_bytes=None, full_iteration = 1): |
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self.full_iteration = full_iteration |
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self.module = module |
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self.test_method = test_method |
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self.setup_method = setup_method |
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self.total_bytes = total_bytes |
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def set_test_method(self, test_method): |
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self.test_method = test_method |
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def full_setup_code(self, setup_method_args=''): |
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setup_code = "" |
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setup_code += "from %s import %s\n" % (self.module, self.test_method) |
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setup_code += "from %s import %s\n" % (self.module, self.setup_method) |
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setup_code += "%s(%s)\n" % (self.setup_method, setup_method_args) |
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return setup_code |
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def dry_run(self, test_method_args='', setup_method_args=''): |
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return timeit.timeit(stmt="%s(%s)" % (self.test_method, test_method_args), |
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setup=self.full_setup_code(setup_method_args), |
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number=self.full_iteration); |
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def run_benchmark(self, test_method_args='', setup_method_args=''): |
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reps = self.full_iteration; |
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t = self.dry_run(test_method_args, setup_method_args); |
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if t < 3 : |
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reps = int(math.ceil(3 / t)) * self.full_iteration |
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if reps != self.full_iteration: |
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t = timeit.timeit(stmt="%s(%s)" % (self.test_method, test_method_args), |
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setup=self.full_setup_code(setup_method_args), |
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number=reps); |
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return self.total_bytes * 1.0 / 2 ** 20 / (1.0 * t / reps * self.full_iteration) |
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if __name__ == "__main__": |
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results = [] |
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for file in args.data_files: |
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results.append(run_one_test(file)) |
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if args.json != "no": |
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print(json.dumps(results)) |
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else: |
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for result in results: |
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print("Message %s of dataset file %s" % \ |
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(result["message_name"], result["filename"])) |
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print("Average throughput for parse_from_benchmark: %.2f MB/s" % \ |
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(result["benchmarks"][ \ |
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args.behavior_prefix + "_parse_from_benchmark"])) |
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print("Average throughput for serialize_to_benchmark: %.2f MB/s" % \ |
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(result["benchmarks"][ \ |
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args.behavior_prefix + "_serialize_to_benchmark"])) |
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print("")
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