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#!/usr/bin/env python3
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import datetime
import io
import json
import os
import random
from time import mktime
from timeit import timeit
import rapidjson
import simplejson
import ujson
from tabulate import tabulate
import orjson
os.sched_setaffinity(os.getpid(), {0, 1})
data_as_obj = []
for year in range(1920, 2020):
start = datetime.date(year, 1, 1)
array = [
(int(mktime((start + datetime.timedelta(days=i)).timetuple())), i + 1)
for i in range(0, 365)
]
array.append(("other", 0))
random.shuffle(array)
data_as_obj.append(dict(array))
data_as_str = orjson.loads(orjson.dumps(data_as_obj, option=orjson.OPT_NON_STR_KEYS))
headers = ("Library", "str keys (ms)", "int keys (ms)", "int keys sorted (ms)")
LIBRARIES = ("orjson", "ujson", "rapidjson", "simplejson", "json")
ITERATIONS = 500
output_in_kib = len(orjson.dumps(data_as_str)) / 1024
print(f"{output_in_kib:,.0f}KiB output (orjson)")
def per_iter_latency(val):
if val is None:
return None
return (val * 1000) / ITERATIONS
def test_correctness(serialized):
return orjson.loads(serialized) == data_as_str
table = []
for lib_name in LIBRARIES:
print(f"{lib_name}...")
if lib_name == "json":
time_as_str = timeit(
lambda: json.dumps(data_as_str).encode("utf-8"),
number=ITERATIONS,
)
time_as_obj = timeit(
lambda: json.dumps(data_as_obj).encode("utf-8"),
number=ITERATIONS,
)
time_as_obj_sorted = (
None # TypeError: '<' not supported between instances of 'str' and 'int'
)
correct = False
elif lib_name == "simplejson":
time_as_str = timeit(
lambda: simplejson.dumps(data_as_str).encode("utf-8"),
number=ITERATIONS,
)
time_as_obj = timeit(
lambda: simplejson.dumps(data_as_obj).encode("utf-8"),
number=ITERATIONS,
)
time_as_obj_sorted = timeit(
lambda: simplejson.dumps(data_as_obj, sort_keys=True).encode("utf-8"),
number=ITERATIONS,
)
correct = test_correctness(
simplejson.dumps(data_as_obj, sort_keys=True).encode("utf-8")
)
elif lib_name == "ujson":
time_as_str = timeit(
lambda: ujson.dumps(data_as_str).encode("utf-8"),
number=ITERATIONS,
)
time_as_obj = timeit(
lambda: ujson.dumps(data_as_obj).encode("utf-8"),
number=ITERATIONS,
)
time_as_obj_sorted = None # segfault
correct = False
elif lib_name == "rapidjson":
time_as_str = timeit(
lambda: rapidjson.dumps(data_as_str).encode("utf-8"),
number=ITERATIONS,
)
time_as_obj = None
time_as_obj_sorted = None
correct = False
elif lib_name == "orjson":
time_as_str = timeit(
lambda: orjson.dumps(data_as_str, None, orjson.OPT_NON_STR_KEYS),
number=ITERATIONS,
)
time_as_obj = timeit(
lambda: orjson.dumps(data_as_obj, None, orjson.OPT_NON_STR_KEYS),
number=ITERATIONS,
)
time_as_obj_sorted = timeit(
lambda: orjson.dumps(
data_as_obj, None, orjson.OPT_NON_STR_KEYS | orjson.OPT_SORT_KEYS
),
number=ITERATIONS,
)
correct = test_correctness(
orjson.dumps(
data_as_obj, None, orjson.OPT_NON_STR_KEYS | orjson.OPT_SORT_KEYS
)
)
else:
raise NotImplementedError
time_as_str = per_iter_latency(time_as_str)
time_as_obj = per_iter_latency(time_as_obj)
if not correct:
time_as_obj_sorted = None
else:
time_as_obj_sorted = per_iter_latency(time_as_obj_sorted)
table.append(
(
lib_name,
f"{time_as_str:,.2f}" if time_as_str else "",
f"{time_as_obj:,.2f}" if time_as_obj else "",
f"{time_as_obj_sorted:,.2f}" if time_as_obj_sorted else "",
)
)
buf = io.StringIO()
buf.write(tabulate(table, headers, tablefmt="github"))
buf.write("\n")
print(buf.getvalue())
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