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perf(python): Add python benchmark test (#1916)
<!-- **Thanks for contributing to Fury.** **If this is your first time opening a PR on fury, you can refer to [CONTRIBUTING.md](https://github.com/apache/fury/blob/main/CONTRIBUTING.md).** Contribution Checklist - The **Apache Fury (incubating)** community has restrictions on the naming of pr titles. You can also find instructions in [CONTRIBUTING.md](https://github.com/apache/fury/blob/main/CONTRIBUTING.md). - Fury has a strong focus on performance. If the PR you submit will have an impact on performance, please benchmark it first and provide the benchmark result here. --> ## What does this PR do? Rewrote [pyperformance bm_pickle](https://github.com/python/pyperformance/tree/main/pyperformance/data-files/benchmarks/bm_pickle) using fury as a benchmark test for pyfury. ## Related issues <!-- Is there any related issue? Please attach here. - #xxxx0 - #xxxx1 - #xxxx2 --> ## Does this PR introduce any user-facing change? <!-- If any user-facing interface changes, please [open an issue](https://github.com/apache/fury/issues/new/choose) describing the need to do so and update the document if necessary. --> - [ ] Does this PR introduce any public API change? - [ ] Does this PR introduce any binary protocol compatibility change? ## Benchmark <!-- When the PR has an impact on performance (if you don't know whether the PR will have an impact on performance, you can submit the PR first, and if it will have impact on performance, the code reviewer will explain it), be sure to attach a benchmark data here. --> ``` ..................... fury_dict: Mean +- std dev: 278 us +- 3 us ..................... fury_dict_group: Mean +- std dev: 302 us +- 8 us ..................... fury_tuple: Mean +- std dev: 262 us +- 4 us ..................... fury_list: Mean +- std dev: 279 us +- 4 us ```
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# Fury CPython Benchmark | ||
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Microbenchmark for Fury serialization in cpython | ||
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## Benchmark | ||
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Step 1: Install Fury into Python | ||
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Step 2: Install the dependencies required for the benchmark script | ||
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```bash | ||
pip install -r requirements.txt | ||
``` | ||
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Step 3: Execute the benchmark script | ||
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```bash | ||
python fury_benchmark.py | ||
``` | ||
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`--affinity CPU_LIST` specify CPU affinity for worker processes | ||
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`-o FILENAME, --output FILENAME` write results encoded to JSON into FILENAME | ||
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`--profile PROFILE` collect profile data using cProfile and output to the given file | ||
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`--help` to get more `pyperf` options |
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# Licensed to the Apache Software Foundation (ASF) under one | ||
# or more contributor license agreements. See the NOTICE file | ||
# distributed with this work for additional information | ||
# regarding copyright ownership. The ASF licenses this file | ||
# to you under the Apache License, Version 2.0 (the | ||
# "License"); you may not use this file except in compliance | ||
# with the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, | ||
# software distributed under the License is distributed on an | ||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
# KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations | ||
# under the License. | ||
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import datetime | ||
import random | ||
import sys | ||
from pyfury import Fury, Language | ||
import pyperf | ||
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# The benchmark case is rewritten from pyperformance bm_pickle | ||
# https://github.com/python/pyperformance/blob/main/pyperformance/data-files/benchmarks/bm_pickle/run_benchmark.py | ||
DICT = { | ||
"ads_flags": 0, | ||
"age": 18, | ||
"birthday": datetime.date(1980, 5, 7), | ||
"bulletin_count": 0, | ||
"comment_count": 0, | ||
"country": "BR", | ||
"encrypted_id": "G9urXXAJwjE", | ||
"favorite_count": 9, | ||
"first_name": "", | ||
"flags": 412317970704, | ||
"friend_count": 0, | ||
"gender": "m", | ||
"gender_for_display": "Male", | ||
"id": 302935349, | ||
"is_custom_profile_icon": 0, | ||
"last_name": "", | ||
"locale_preference": "pt_BR", | ||
"member": 0, | ||
"tags": ["a", "b", "c", "d", "e", "f", "g"], | ||
"profile_foo_id": 827119638, | ||
"secure_encrypted_id": "Z_xxx2dYx3t4YAdnmfgyKw", | ||
"session_number": 2, | ||
"signup_id": "201-19225-223", | ||
"status": "A", | ||
"theme": 1, | ||
"time_created": 1225237014, | ||
"time_updated": 1233134493, | ||
"unread_message_count": 0, | ||
"user_group": "0", | ||
"username": "collinwinter", | ||
"play_count": 9, | ||
"view_count": 7, | ||
"zip": "", | ||
} | ||
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TUPLE = ( | ||
[ | ||
265867233, | ||
265868503, | ||
265252341, | ||
265243910, | ||
265879514, | ||
266219766, | ||
266021701, | ||
265843726, | ||
265592821, | ||
265246784, | ||
265853180, | ||
45526486, | ||
265463699, | ||
265848143, | ||
265863062, | ||
265392591, | ||
265877490, | ||
265823665, | ||
265828884, | ||
265753032, | ||
], | ||
60, | ||
) | ||
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LIST = [[list(range(10)), list(range(10))] for _ in range(10)] | ||
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def mutate_dict(orig_dict, random_source): | ||
new_dict = dict(orig_dict) | ||
for key, value in new_dict.items(): | ||
rand_val = random_source.random() * sys.maxsize | ||
if isinstance(key, (int, bytes, str)): | ||
new_dict[key] = type(key)(rand_val) | ||
return new_dict | ||
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random_source = random.Random(5) | ||
DICT_GROUP = [mutate_dict(DICT, random_source) for _ in range(3)] | ||
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def fury_python_object(obj): | ||
fury = Fury(language=Language.PYTHON, ref_tracking=True) | ||
binary = fury.serialize(obj) | ||
fury.deserialize(binary) | ||
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def micro_benchmark(): | ||
runner = pyperf.Runner() | ||
runner.bench_func("fury_dict", fury_python_object, DICT) | ||
runner.bench_func("fury_dict_group", fury_python_object, DICT_GROUP) | ||
runner.bench_func("fury_tuple", fury_python_object, TUPLE) | ||
runner.bench_func("fury_list", fury_python_object, LIST) | ||
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if __name__ == "__main__": | ||
micro_benchmark() |
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pyperf |