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Unverified Commit 5fb73f80 authored by Yilun Chong's avatar Yilun Chong Committed by GitHub
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Merge pull request #4415 from BSBandme/experiement 

Add dashboard support
parents d7d863ea 805174ed
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benchmarks/Makefile.am
View file @ 5fb73f80
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benchmarks/README.md
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......@@ -120,49 +120,51 @@ $ make python-cpp-generated-code
$ make go
```
To run a specific dataset:
To run a specific dataset or run with specific options:
### Java:
```
$ make java-benchmark
$ ./java-benchmark $(specific generated dataset file name) [-- $(caliper option)]
$ ./java-benchmark $(specific generated dataset file name) [$(caliper options)]
```
### CPP:
```
$ make cpp-benchmark
$ ./cpp-benchmark $(specific generated dataset file name)
$ ./cpp-benchmark $(specific generated dataset file name) [$(benchmark options)]
```
### Python:
For Python benchmark we have `--json` for outputing the json result
#### Pure Python:
```
$ make python-pure-python-benchmark
$ ./python-pure-python-benchmark $(specific generated dataset file name)
$ ./python-pure-python-benchmark [--json] $(specific generated dataset file name)
```
#### CPP reflection:
```
$ make python-cpp-reflection-benchmark
$ ./python-cpp-reflection-benchmark $(specific generated dataset file name)
$ ./python-cpp-reflection-benchmark [--json] $(specific generated dataset file name)
```
#### CPP generated code:
```
$ make python-cpp-generated-code-benchmark
$ ./python-cpp-generated-code-benchmark $(specific generated dataset file name)
$ ./python-cpp-generated-code-benchmark [--json] $(specific generated dataset file name)
```
### Go:
```
$ make go-benchmark
$ ./go-benchmark $(specific generated dataset file name)
$ ./go-benchmark $(specific generated dataset file name) [go testing options]
```
......
benchmarks/go_benchmark_test.go → benchmarks/go/go_benchmark_test.go
View file @ 5fb73f80
package main
import (
benchmarkWrapper "./tmp"
googleMessage1Proto2 "./tmp/datasets/google_message1/proto2"
googleMessage1Proto3 "./tmp/datasets/google_message1/proto3"
googleMessage2 "./tmp/datasets/google_message2"
googleMessage3 "./tmp/datasets/google_message3"
googleMessage4 "./tmp/datasets/google_message4"
benchmarkWrapper "../tmp"
googleMessage1Proto2 "../tmp/datasets/google_message1/proto2"
googleMessage1Proto3 "../tmp/datasets/google_message1/proto3"
googleMessage2 "../tmp/datasets/google_message2"
googleMessage3 "../tmp/datasets/google_message3"
googleMessage4 "../tmp/datasets/google_message4"
"flag"
"github.com/golang/protobuf/proto"
"io/ioutil"
......
benchmarks/java/src/main/java/com/google/protobuf/ProtoBench.java
View file @ 5fb73f80
......@@ -69,40 +69,18 @@ public class ProtoBench {
System.err.println("input data is in the format of \"benchmarks.proto\"");
System.exit(1);
}
boolean success = true;
for (int i = 0; i < args.length; i++) {
success &= runTest(args[i]);
}
System.exit(success ? 0 : 1);
System.exit(runTest(args) ? 0 : 1);
}
/**
* Runs a single test with specific test data. Error messages are displayed to stderr,
* and the return value indicates general success/failure.
*/
public static boolean runTest(String file) {
byte[] inputData;
BenchmarkDataset benchmarkDataset;
try {
inputData = readAllBytes(file);
benchmarkDataset = BenchmarkDataset.parseFrom(inputData);
} catch (IOException e) {
System.err.println("Unable to get input data");
return false;
}
List<String> argsList = getCaliperOption(benchmarkDataset);
if (argsList == null) {
System.err.println("Unable to get default message " + benchmarkDataset.getMessageName());
return false;
}
argsList.add("-DdataFile=" + file);
public static boolean runTest(String args[]) {
List<String> argsList = getCaliperOption(args);
argsList.add("com.google.protobuf.ProtoCaliperBenchmark");
try {
String args[] = new String[argsList.size()];
argsList.toArray(args);
CaliperMain.exitlessMain(args,
String newArgs[] = new String[argsList.size()];
argsList.toArray(newArgs);
CaliperMain.exitlessMain(newArgs,
new PrintWriter(System.out, true), new PrintWriter(System.err, true));
} catch (Exception e) {
System.err.println("Error: " + e.getMessage());
......@@ -110,54 +88,22 @@ public class ProtoBench {
e.printStackTrace(System.err);
return false;
}
try {
double mininumScale = 0;
// If the file not exist, this will throw IOException, which won't print the warning
// information below.
Scanner scanner = new Scanner(new String(readAllBytes("JavaBenchmarkWarning.txt")));
while (scanner.hasNext()) {
mininumScale = Math.max(mininumScale, scanner.nextDouble());
}
scanner.close();
System.out.println(
"WARNING: This benchmark's whole iterations are not enough, consider to config caliper to "
+ "run for more time to make the result more convincing. You may change the configure "
+ "code in com.google.protobuf.ProtoBench.getCaliperOption() of benchmark "
+ benchmarkDataset.getMessageName()
+ " to run for more time. e.g. Change the value of "
+ "instrument.runtime.options.timingInterval or value of "
+ "instrument.runtime.options.measurements to be at least "
+ Math.round(mininumScale * 10 + 1) / 10.0
+ " times of before, then build and run the benchmark again\n");
Files.deleteIfExists(Paths.get("JavaBenchmarkWarning.txt"));
} catch (IOException e) {
// The IOException here should be file not found, which means there's no warning generated by
// The benchmark, so this IOException should be discarded.
}
return true;
}
private static List<String> getCaliperOption(final BenchmarkDataset benchmarkDataset) {
private static List<String> getCaliperOption(String args[]) {
List<String> temp = new ArrayList<String>();
if (benchmarkDataset.getMessageName().equals("benchmarks.proto3.GoogleMessage1")) {
} else if (benchmarkDataset.getMessageName().equals("benchmarks.proto2.GoogleMessage1")) {
} else if (benchmarkDataset.getMessageName().equals("benchmarks.proto2.GoogleMessage2")) {
} else if (benchmarkDataset.getMessageName().
equals("benchmarks.google_message3.GoogleMessage3")) {
temp.add("-Cinstrument.runtime.options.timingInterval=3000ms");
temp.add("-Cinstrument.runtime.options.measurements=20");
} else if (benchmarkDataset.getMessageName().
equals("benchmarks.google_message4.GoogleMessage4")) {
temp.add("-Cinstrument.runtime.options.timingInterval=1500ms");
temp.add("-Cinstrument.runtime.options.measurements=20");
} else {
return null;
}
temp.add("-i");
temp.add("runtime");
String files = "";
for (int i = 0; i < args.length; i++) {
if (args[i].charAt(0) == '-') {
temp.add(args[i]);
} else {
files += (files.equals("") ? "" : ",") + args[i];
}
}
temp.add("-DdataFile=" + files);
temp.add("-b");
String benchmarkNames = "serializeToByteString,serializeToByteArray,serializeToMemoryStream"
+ ",deserializeFromByteString,deserializeFromByteArray,deserializeFromMemoryStream";
......@@ -165,14 +111,4 @@ public class ProtoBench {
return temp;
}
public static byte[] readAllBytes(String filename) throws IOException {
if (filename.equals("")) {
return new byte[0];
}
RandomAccessFile file = new RandomAccessFile(new File(filename), "r");
byte[] content = new byte[(int) file.length()];
file.readFully(content);
return content;
}
}
benchmarks/java/src/main/java/com/google/protobuf/ProtoCaliperBenchmark.java
View file @ 5fb73f80
......@@ -99,7 +99,6 @@ public class ProtoCaliperBenchmark {
private List<ByteArrayInputStream> inputStreamList;
private List<ByteString> inputStringList;
private List<Message> sampleMessageList;
private long counter;
private BenchmarkMessageType getMessageType() throws IOException {
if (benchmarkDataset.getMessageName().equals("benchmarks.proto3.GoogleMessage1")) {
......@@ -149,8 +148,6 @@ public class ProtoCaliperBenchmark {
sampleMessageList.add(
defaultMessage.newBuilderForType().mergeFrom(singleInputData, extensions).build());
}
counter = 0;
}
......@@ -160,8 +157,9 @@ public class ProtoCaliperBenchmark {
return;
}
for (int i = 0; i < reps; i++) {
sampleMessageList.get((int) (counter % sampleMessageList.size())).toByteString();
counter++;
for (int j = 0; j < sampleMessageList.size(); j++) {
sampleMessageList.get(j).toByteString();
}
}
}
......@@ -171,8 +169,9 @@ public class ProtoCaliperBenchmark {
return;
}
for (int i = 0; i < reps; i++) {
sampleMessageList.get((int) (counter % sampleMessageList.size())).toByteArray();
counter++;
for (int j = 0; j < sampleMessageList.size(); j++) {
sampleMessageList.get(j).toByteArray();
}
}
}
......@@ -182,9 +181,10 @@ public class ProtoCaliperBenchmark {
return;
}
for (int i = 0; i < reps; i++) {
ByteArrayOutputStream output = new ByteArrayOutputStream();
sampleMessageList.get((int) (counter % sampleMessageList.size())).writeTo(output);
counter++;
for (int j = 0; j < sampleMessageList.size(); j++) {
ByteArrayOutputStream output = new ByteArrayOutputStream();
sampleMessageList.get(j).writeTo(output);
}
}
}
......@@ -194,9 +194,10 @@ public class ProtoCaliperBenchmark {
return;
}
for (int i = 0; i < reps; i++) {
benchmarkMessageType.getDefaultInstance().getParserForType().parseFrom(
inputStringList.get((int) (counter % inputStringList.size())), extensions);
counter++;
for (int j = 0; j < inputStringList.size(); j++) {
benchmarkMessageType.getDefaultInstance().getParserForType().parseFrom(
inputStringList.get(j), extensions);
}
}
}
......@@ -206,9 +207,10 @@ public class ProtoCaliperBenchmark {
return;
}
for (int i = 0; i < reps; i++) {
benchmarkMessageType.getDefaultInstance().getParserForType().parseFrom(
inputDataList.get((int) (counter % inputDataList.size())), extensions);
counter++;
for (int j = 0; j < inputDataList.size(); j++) {
benchmarkMessageType.getDefaultInstance().getParserForType().parseFrom(
inputDataList.get(j), extensions);
}
}
}
......@@ -218,27 +220,11 @@ public class ProtoCaliperBenchmark {
return;
}
for (int i = 0; i < reps; i++) {
benchmarkMessageType.getDefaultInstance().getParserForType().parseFrom(
inputStreamList.get((int) (counter % inputStreamList.size())), extensions);
inputStreamList.get((int) (counter % inputStreamList.size())).reset();
counter++;
}
}
@AfterExperiment
void checkCounter() throws IOException {
if (counter == 1) {
// Dry run
return;
}
if (benchmarkDataset.getPayloadCount() != 1
&& counter < benchmarkDataset.getPayloadCount() * 10L) {
BufferedWriter writer = new BufferedWriter(new FileWriter("JavaBenchmarkWarning.txt", true));
// If the total number of non-warmup reps is smaller than 100 times of the total number of
// datasets, then output the scale that need to multiply to the configuration (either extend
// the running time for one timingInterval or run for more measurements).
writer.append(1.0 * benchmarkDataset.getPayloadCount() * 10L / counter + " ");
writer.close();
for (int j = 0; j < inputStreamList.size(); j++) {
benchmarkMessageType.getDefaultInstance().getParserForType().parseFrom(
inputStreamList.get(j), extensions);
inputStreamList.get(j).reset();
}
}
}
}
......
benchmarks/py_benchmark.py → benchmarks/python/py_benchmark.py
View file @ 5fb73f80
......@@ -2,21 +2,35 @@ import sys
import os
import timeit
import math
import argparse
import fnmatch
import json
parser = argparse.ArgumentParser(description="Python protobuf benchmark")
parser.add_argument("data_files", metavar="dataFile", nargs="+",
help="testing data files.")
parser.add_argument("--json", action="store_const", dest="json",
const="yes", default="no",
help="Whether to output json results")
parser.add_argument("--behavior_prefix", dest="behavior_prefix",
help="The output json format's behavior's name's prefix",
default="")
# BEGIN CPP GENERATED MESSAGE
parser.add_argument("--cpp_generated", action="store_const",
dest="cpp_generated", const="yes", default="no",
help="Whether to link generated code library")
# END CPP GENERATED MESSAGE
args = parser.parse_args()
# BEGIN CPP GENERATED MESSAGE
# CPP generated code must be linked before importing the generated Python code
# for the descriptor can be found in the pool
if len(sys.argv) < 2:
raise IOError("Need string argument \"true\" or \"false\" for whether to use cpp generated code")
if sys.argv[1] == "true":
if args.cpp_generated != "no":
sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) + "/.libs" )
import libbenchmark_messages
sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) + "/tmp" )
elif sys.argv[1] != "false":
raise IOError("Need string argument \"true\" or \"false\" for whether to use cpp generated code")
# END CPP GENERATED MESSAGE
import datasets.google_message1.proto2.benchmark_message1_proto2_pb2 as benchmark_message1_proto2_pb2
import datasets.google_message1.proto3.benchmark_message1_proto3_pb2 as benchmark_message1_proto3_pb2
import datasets.google_message2.benchmark_message2_pb2 as benchmark_message2_pb2
......@@ -26,19 +40,24 @@ import benchmarks_pb2 as benchmarks_pb2
def run_one_test(filename):
data = open(os.path.dirname(sys.argv[0]) + "/../" + filename).read()
data = open(filename).read()
benchmark_dataset = benchmarks_pb2.BenchmarkDataset()
benchmark_dataset.ParseFromString(data)
benchmark_util = Benchmark(full_iteration=len(benchmark_dataset.payload),
module="py_benchmark",
setup_method="init")
print "Message %s of dataset file %s" % \
(benchmark_dataset.message_name, filename)
result={}
result["filename"] = filename
result["message_name"] = benchmark_dataset.message_name
result["benchmarks"] = {}
benchmark_util.set_test_method("parse_from_benchmark")
print benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename))
result["benchmarks"][args.behavior_prefix + "_parse_from_benchmark"] = \
benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename))
benchmark_util.set_test_method("serialize_to_benchmark")
print benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename))
print ""
result["benchmarks"][args.behavior_prefix + "_serialize_to_benchmark"] = \
benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename))
return result
def init(filename):
global benchmark_dataset, message_class, message_list, counter
......@@ -66,11 +85,13 @@ def init(filename):
temp.ParseFromString(one_payload)
message_list.append(temp)
def parse_from_benchmark():
global counter, message_class, benchmark_dataset
m = message_class().ParseFromString(benchmark_dataset.payload[counter % len(benchmark_dataset.payload)])
counter = counter + 1
def serialize_to_benchmark():
global counter, message_list, message_class
s = message_list[counter % len(benchmark_dataset.payload)].SerializeToString()
......@@ -108,11 +129,22 @@ class Benchmark:
t = timeit.timeit(stmt="%s(%s)" % (self.test_method, test_method_args),
setup=self.full_setup_code(setup_method_args),
number=reps);
return "Average time for %s: %.2f ns" % \
(self.test_method, 1.0 * t / reps * (10 ** 9))
return 1.0 * t / reps * (10 ** 9)
if __name__ == "__main__":
for i in range(2, len(sys.argv)):
run_one_test(sys.argv[i])
results = []
for file in args.data_files:
results.append(run_one_test(file))
if args.json != "no":
print json.dumps(results)
else:
for result in results:
print "Message %s of dataset file %s" % \
(result["message_name"], result["filename"])
print "Average time for parse_from_benchmark: %.2f ns" % \
(result["benchmarks"]["parse_from_benchmark"])
print "Average time for serialize_to_benchmark: %.2f ns" % \
(result["benchmarks"]["serialize_to_benchmark"])
print ""
benchmarks/python_benchmark_messages.cc → benchmarks/python/python_benchmark_messages.cc
View file @ 5fb73f80
#include <Python.h>
#include "benchmarks.pb.h"
#include "datasets/google_message1/benchmark_message1_proto2.pb.h"
#include "datasets/google_message1/benchmark_message1_proto3.pb.h"
#include "datasets/google_message1/proto2/benchmark_message1_proto2.pb.h"
#include "datasets/google_message1/proto3/benchmark_message1_proto3.pb.h"
#include "datasets/google_message2/benchmark_message2.pb.h"
#include "datasets/google_message3/benchmark_message3.pb.h"
#include "datasets/google_message4/benchmark_message4.pb.h"
......
benchmarks/util/__init__.py 0 → 100644
View file @ 5fb73f80
benchmarks/util/big_query_utils.py 0 → 100755
View file @ 5fb73f80
#!/usr/bin/env python2.7
import argparse
import json
import uuid
import httplib2
from apiclient import discovery
from apiclient.errors import HttpError
from oauth2client.client import GoogleCredentials
# 30 days in milliseconds
_EXPIRATION_MS = 30 * 24 * 60 * 60 * 1000
NUM_RETRIES = 3
def create_big_query():
"""Authenticates with cloud platform and gets a BiqQuery service object
"""
creds = GoogleCredentials.get_application_default()
return discovery.build(
'bigquery', 'v2', credentials=creds, cache_discovery=False)
def create_dataset(biq_query, project_id, dataset_id):
is_success = True
body = {
'datasetReference': {
'projectId': project_id,
'datasetId': dataset_id
}
}
try:
dataset_req = biq_query.datasets().insert(
projectId=project_id, body=body)
dataset_req.execute(num_retries=NUM_RETRIES)
except HttpError as http_error:
if http_error.resp.status == 409:
print 'Warning: The dataset %s already exists' % dataset_id
else:
# Note: For more debugging info, print "http_error.content"
print 'Error in creating dataset: %s. Err: %s' % (dataset_id,
http_error)
is_success = False
return is_success
def create_table(big_query, project_id, dataset_id, table_id, table_schema,
description):
fields = [{
'name': field_name,
'type': field_type,
'description': field_description
} for (field_name, field_type, field_description) in table_schema]
return create_table2(big_query, project_id, dataset_id, table_id, fields,
description)
def create_partitioned_table(big_query,
project_id,
dataset_id,
table_id,
table_schema,
description,
partition_type='DAY',
expiration_ms=_EXPIRATION_MS):
"""Creates a partitioned table. By default, a date-paritioned table is created with
each partition lasting 30 days after it was last modified.
"""
fields = [{
'name': field_name,
'type': field_type,
'description': field_description
} for (field_name, field_type, field_description) in table_schema]
return create_table2(big_query, project_id, dataset_id, table_id, fields,
description, partition_type, expiration_ms)
def create_table2(big_query,
project_id,
dataset_id,
table_id,
fields_schema,
description,
partition_type=None,
expiration_ms=None):
is_success = True
body = {
'description': description,
'schema': {
'fields': fields_schema
},
'tableReference': {
'datasetId': dataset_id,
'projectId': project_id,
'tableId': table_id
}
}
if partition_type and expiration_ms:
body["timePartitioning"] = {
"type": partition_type,
"expirationMs": expiration_ms
}
try:
table_req = big_query.tables().insert(
projectId=project_id, datasetId=dataset_id, body=body)
res = table_req.execute(num_retries=NUM_RETRIES)
print 'Successfully created %s "%s"' % (res['kind'], res['id'])
except HttpError as http_error:
if http_error.resp.status == 409:
print 'Warning: Table %s already exists' % table_id
else:
print 'Error in creating table: %s. Err: %s' % (table_id,
http_error)
is_success = False
return is_success
def patch_table(big_query, project_id, dataset_id, table_id, fields_schema):
is_success = True
body = {
'schema': {
'fields': fields_schema
},
'tableReference': {
'datasetId': dataset_id,
'projectId': project_id,
'tableId': table_id
}
}
try:
table_req = big_query.tables().patch(
projectId=project_id,
datasetId=dataset_id,
tableId=table_id,
body=body)
res = table_req.execute(num_retries=NUM_RETRIES)
print 'Successfully patched %s "%s"' % (res['kind'], res['id'])
except HttpError as http_error:
print 'Error in creating table: %s. Err: %s' % (table_id, http_error)
is_success = False
return is_success
def insert_rows(big_query, project_id, dataset_id, table_id, rows_list):
is_success = True
body = {'rows': rows_list}
try:
insert_req = big_query.tabledata().insertAll(
projectId=project_id,
datasetId=dataset_id,
tableId=table_id,
body=body)
res = insert_req.execute(num_retries=NUM_RETRIES)
if res.get('insertErrors', None):
print 'Error inserting rows! Response: %s' % res
is_success = False
except HttpError as http_error:
print 'Error inserting rows to the table %s' % table_id
is_success = False
return is_success
def sync_query_job(big_query, project_id, query, timeout=5000):
query_data = {'query': query, 'timeoutMs': timeout}
query_job = None
try:
query_job = big_query.jobs().query(
projectId=project_id,
body=query_data).execute(num_retries=NUM_RETRIES)
except HttpError as http_error:
print 'Query execute job failed with error: %s' % http_error
print http_error.content
return query_job
# List of (column name, column type, description) tuples
def make_row(unique_row_id, row_values_dict):
"""row_values_dict is a dictionary of column name and column value.
"""
return {'insertId': unique_row_id, 'json': row_values_dict}
benchmarks/util/run_and_upload.py 0 → 100755
View file @ 5fb73f80
import argparse
import os
import re
import copy
import uuid
import calendar
import time
import big_query_utils
import datetime
import json
# This import depends on the automake rule protoc_middleman, please make sure
# protoc_middleman has been built before run this file.
import os.path, sys
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir))
import tmp.benchmarks_pb2 as benchmarks_pb2
from click.types import STRING
_PROJECT_ID = 'grpc-testing'
_DATASET = 'protobuf_benchmark_result'
_TABLE = 'opensource_result_v1'
_NOW = "%d%02d%02d" % (datetime.datetime.now().year,
datetime.datetime.now().month,
datetime.datetime.now().day)
file_size_map = {}
def get_data_size(file_name):
if file_name in file_size_map:
return file_size_map[file_name]
benchmark_dataset = benchmarks_pb2.BenchmarkDataset()
benchmark_dataset.ParseFromString(
open(os.path.dirname(os.path.abspath(__file__)) + "/../" + file_name).read())
size = 0
count = 0
for payload in benchmark_dataset.payload:
size += len(payload)
count += 1
file_size_map[file_name] = (size, 1.0 * size / count)
return size, 1.0 * size / count
def extract_file_name(file_name):
name_list = re.split("[/\.]", file_name)
short_file_name = ""
for name in name_list:
if name[:14] == "google_message":
short_file_name = name
return short_file_name
cpp_result = []
python_result = []
java_result = []
go_result = []
# CPP results example:
# [
# "benchmarks": [
# {
# "bytes_per_second": int,
# "cpu_time": int,
# "name: string,
# "time_unit: string,
# ...
# },
# ...
# ],
# ...
# ]
def parse_cpp_result(filename):
global cpp_result
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename) 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:]
cpp_result.append({
"language": "cpp",
"dataFileName": data_filename,
"behavior": behavior,
"throughput": benchmark["bytes_per_second"] / 2.0 ** 20
})
# Python results example:
# [
# [
# {
# "filename": string,
# "benchmarks": {
# behavior: results,
# ...
# },
# "message_name": STRING
# },
# ...
# ], #pure-python
# ...
# ]
def parse_python_result(filename):
global python_result
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename) 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"]:
python_result.append({
"language": "python",
"dataFileName": extract_file_name(result["filename"]),
"behavior": behavior,
"throughput": avg_size /
result["benchmarks"][behavior] * 1e9 / 2 ** 20
})
# 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):
global average_bytes_per_message, java_result
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename) 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"])
java_result.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):
global go_result
if filename == "":
return
if filename[0] != '/':
filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
with open(filename) as f:
for line in f:
result_list = re.split("[\ \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+4:last_slash_index] # delete ../ prefix
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]
go_result.append({
"dataFilename": extract_file_name(full_filename),
"throughput": total_bytes / float(result_list[2]) * 1e9 / 2 ** 20,
"behavior": behavior,
"language": "go"
})
def get_metadata():
build_number = os.getenv('BUILD_NUMBER')
build_url = os.getenv('BUILD_URL')
job_name = os.getenv('JOB_NAME')
git_commit = os.getenv('GIT_COMMIT')
# actual commit is the actual head of PR that is getting tested
git_actual_commit = os.getenv('ghprbActualCommit')
utc_timestamp = str(calendar.timegm(time.gmtime()))
metadata = {'created': utc_timestamp}
if build_number:
metadata['buildNumber'] = build_number
if build_url:
metadata['buildUrl'] = build_url
if job_name:
metadata['jobName'] = job_name
if git_commit:
metadata['gitCommit'] = git_commit
if git_actual_commit:
metadata['gitActualCommit'] = git_actual_commit
return metadata
def upload_result(result_list, metadata):
for result in result_list:
new_result = copy.deepcopy(result)
new_result['metadata'] = metadata
bq = big_query_utils.create_big_query()
row = big_query_utils.make_row(str(uuid.uuid4()), new_result)
if not big_query_utils.insert_rows(bq, _PROJECT_ID, _DATASET,
_TABLE + "$" + _NOW,
[row]):
print 'Error when uploading result', new_result
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-cpp", "--cpp_input_file",
help="The CPP benchmark result file's name",
default="")
parser.add_argument("-java", "--java_input_file",
help="The Java benchmark result file's name",
default="")
parser.add_argument("-python", "--python_input_file",
help="The Python benchmark result file's name",
default="")
parser.add_argument("-go", "--go_input_file",
help="The golang benchmark result file's name",
default="")
args = parser.parse_args()
parse_cpp_result(args.cpp_input_file)
parse_python_result(args.python_input_file)
parse_java_result(args.java_input_file)
parse_go_result(args.go_input_file)
metadata = get_metadata()
print "uploading cpp results..."
upload_result(cpp_result, metadata)
print "uploading java results..."
upload_result(java_result, metadata)
print "uploading python results..."
upload_result(python_result, metadata)
print "uploading go results..."
upload_result(go_result, metadata)
examples/add_person_test.go
View file @ 5fb73f80
......@@ -30,10 +30,10 @@ unknown
t.Errorf("promptForAddress(%q) got %d, want ID %d", in, got.Id, 12345)
}
if got.Name != "Example Name" {
t.Errorf("promptForAddress(%q) => want name %q, got %q", "Example Name", got.Name)
t.Errorf("promptForAddress(%q) => want name %q, got %q", in, "Example Name", got.Name)
}
if got.Email != "name@example.com" {
t.Errorf("promptForAddress(%q) => want email %q, got %q", "name@example.com", got.Email)
t.Errorf("promptForAddress(%q) => want email %q, got %q", in, "name@example.com", got.Email)
}
want := []*pb.Person_PhoneNumber{
......
kokoro/linux/benchmark/build.sh 0 → 100755
View file @ 5fb73f80
#!/bin/bash
#
# Change to repo root
cd $(dirname $0)/../../..
export OUTPUT_DIR=testoutput
oldpwd=`pwd`
# tcmalloc
if [ ! -f gperftools/.libs/libtcmalloc.so ]; then
git clone https://github.com/gperftools/gperftools.git
cd gperftools
./autogen.sh
./configure
make -j8
cd ..
fi
# download datasets for benchmark
cd benchmarks
./download_data.sh
datasets=`find . -type f -name "dataset.*.pb"`
cd $oldpwd
# build Python protobuf
./autogen.sh
./configure CXXFLAGS="-fPIC -O2 -fno-semantic-interposition"
make -j8
cd python
python setup.py build --cpp_implementation
pip install .
# build and run Python benchmark
cd ../benchmarks
make python-pure-python-benchmark
make python-cpp-reflection-benchmark
make -j8 python-cpp-generated-code-benchmark
echo "[" > tmp/python_result.json
echo "benchmarking pure python..."
./python-pure-python-benchmark --json --behavior_prefix="pure-python-benchmark" $datasets >> tmp/python_result.json
echo "," >> "tmp/python_result.json"
echo "benchmarking python cpp reflection..."
env LD_PRELOAD="$oldpwd/gperftools/.libs/libtcmalloc.so" ./python-cpp-reflection-benchmark --json --behavior_prefix="cpp-reflection-benchmark" $datasets >> tmp/python_result.json
echo "," >> "tmp/python_result.json"
echo "benchmarking python cpp generated code..."
env LD_PRELOAD="$oldpwd/gperftools/.libs/libtcmalloc.so" ./python-cpp-generated-code-benchmark --json --behavior_prefix="cpp-generated-code-benchmark" $datasets >> tmp/python_result.json
echo "]" >> "tmp/python_result.json"
cd $oldpwd
# build CPP protobuf
./configure
make clean && make -j8
# build CPP benchmark
cd benchmarks
mv tmp/python_result.json . && make clean && make -j8 cpp-benchmark && mv python_result.json tmp
echo "benchmarking cpp..."
env LD_PRELOAD="$oldpwd/gperftools/.libs/libtcmalloc.so" ./cpp-benchmark --benchmark_min_time=5.0 --benchmark_out_format=json --benchmark_out="tmp/cpp_result.json" $datasets
cd $oldpwd
# build go protobuf
export PATH="`pwd`/src:$PATH"
export GOPATH="$HOME/gocode"
mkdir -p "$GOPATH/src/github.com/google"
rm -f "$GOPATH/src/github.com/google/protobuf"
ln -s "`pwd`" "$GOPATH/src/github.com/google/protobuf"
export PATH="$GOPATH/bin:$PATH"
go get github.com/golang/protobuf/protoc-gen-go
# build go benchmark
cd benchmarks
make go-benchmark
echo "benchmarking go..."
./go-benchmark $datasets > tmp/go_result.txt
# build java benchmark
make java-benchmark
echo "benchmarking java..."
./java-benchmark -Cresults.file.options.file="tmp/java_result.json" $datasets
# upload result to bq
make python_add_init
python util/run_and_upload.py -cpp="../tmp/cpp_result.json" -java="../tmp/java_result.json" \
-python="../tmp/python_result.json" -go="../tmp/go_result.txt"
cd $oldpwd
kokoro/linux/benchmark/continuous.cfg 0 → 100755
View file @ 5fb73f80
# Config file for running tests in Kokoro
# Location of the build script in repository
build_file: "protobuf/kokoro/linux/benchmark/build.sh"
timeout_mins: 240
action {
define_artifacts {
regex: "**/sponge_log.xml"
}
}
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