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import subprocess
import sys
import tempfile
import requests
TEMPLATE = """
import resource
import time
with open({path!r}, "rb") as f:
data = f.read()
initial_rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
{setup}
start = time.perf_counter()
for _ in range(5):
decode(data)
stop = time.perf_counter()
max_rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
# mem_mib = (max_rss * 1024 - len(data)) / (1024 * 1024)
mem_mib = (max_rss - initial_rss) / 1024
time_ms = ((stop - start) / 5) * 1000
print([mem_mib, time_ms])
"""
JSON = """
import json
decode = json.loads
"""
UJSON = """
import ujson
decode = ujson.loads
"""
ORJSON = """
import orjson
decode = orjson.loads
"""
RAPIDJSON = """
import rapidjson
decode = rapidjson.loads
"""
SIMDJSON = """
import simdjson
decode = simdjson.loads
"""
MSGSPEC = """
import msgspec
decode = msgspec.json.decode
"""
MSGSPEC_STRUCTS = """
import msgspec
from typing import Union
class Package(msgspec.Struct, gc=False):
build: str
build_number: int
depends: tuple[str, ...]
md5: str
name: str
sha256: str
subdir: str
version: str
license: str = ""
noarch: Union[str, bool, None] = None
size: int = 0
timestamp: int = 0
class RepoData(msgspec.Struct, gc=False):
repodata_version: int
info: dict
packages: dict[str, Package]
removed: tuple[str, ...]
decode = msgspec.json.Decoder(RepoData).decode
"""
def main():
import argparse
benchmarks = [
("json", None, JSON),
("ujson", "ujson", UJSON),
("orjson", "orjson", ORJSON),
("rapidjson", "python-rapidjson", RAPIDJSON),
("simdjson", "pysimdjson", SIMDJSON),
("msgspec", "msgspec", MSGSPEC),
("msgspec structs", None, MSGSPEC_STRUCTS),
]
benchmark_names = [bench_data[0] for bench_data in benchmarks]
parser = argparse.ArgumentParser(
description="Benchmark decoding a large JSON message using various JSON libraries"
)
parser.add_argument(
"-b",
"--bench-name",
dest="bench_names",
nargs="*",
choices=benchmark_names,
default=benchmark_names,
help="A list of benchmark names to run. Defaults to all.",
)
parser.add_argument(
"--versions",
action="store_true",
help="Output library version info, and exit immediately",
)
args = parser.parse_args()
bench_names = set(args.bench_names)
# Used as the baseline for comparisons
bench_names.add("msgspec structs")
if args.versions:
import importlib.metadata
for _, lib, _ in benchmarks:
if lib is not None:
version = importlib.metadata.version(lib)
print(f"- {lib}: {version}")
sys.exit(0)
with tempfile.NamedTemporaryFile() as f:
# Download the repodata.json
resp = requests.get(
"https://conda.anaconda.org/conda-forge/noarch/repodata.json"
)
resp.raise_for_status()
f.write(resp.content)
# Run the benchmark for each library
results = {}
import ast
for name, _, setup in benchmarks:
if name not in bench_names:
continue
script = TEMPLATE.format(path=f.name, setup=setup)
# We execute each script in a subprocess to isolate their memory usage
output = subprocess.check_output([sys.executable, "-c", script])
results[name] = ast.literal_eval(output.decode())
# Compose the results table
best_mem, best_time = results["msgspec structs"]
# Avoid division by zero if memory is 0
if not best_mem:
best_mem = 1.0
columns = (
"",
"memory (MiB)",
"vs.",
"time (ms)",
"vs.",
)
rows = [
(
f"**{name}**",
f"{mem:.1f}",
f"{mem / best_mem:.1f}x",
f"{time:.1f}",
f"{time / best_time:.1f}x",
)
for name, (mem, time) in results.items()
]
rows.sort(key=lambda x: float(x[1]))
widths = tuple(
max(max(map(len, x)), len(c)) for x, c in zip(zip(*rows), columns)
)
row_template = ("|" + (" %%-%ds |" * len(columns))) % widths
header = row_template % tuple(columns)
bar_underline = "+%s+" % "+".join("=" * (w + 2) for w in widths)
bar = "+%s+" % "+".join("-" * (w + 2) for w in widths)
parts = [bar, header, bar_underline]
for r in rows:
parts.append(row_template % r)
parts.append(bar)
print("\n".join(parts))
if __name__ == "__main__":
main()
|
