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ThreadPool
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from datetime import datetime | |
import aiohttp | |
import asyncio | |
URL = "https://medium.fabianbosler.de/run" | |
async def sample_asyncio(samples): | |
start = datetime.now() | |
async def main(): | |
async with aiohttp.ClientSession() as session: | |
async with session.get(URL) as resp: | |
return await resp.json() | |
results = await asyncio.gather(*[main() for _ in range(samples)]) | |
return results, datetime.now()-start | |
if __name__ == '__main__': | |
print(asyncio.run(sample_asyncio(64))[1]) |
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from datetime import datetime | |
from multiprocessing.pool import ThreadPool | |
from itertools import chain | |
import pandas as pd | |
import requests | |
import aiohttp | |
import asyncio | |
URL = "https://medium.fabianbosler.de/run" | |
def fetch_quote(*args): | |
try: | |
res = requests.get(URL).json() | |
except Exception: | |
res = 'ERROR' | |
return res | |
def parallel_extraction(threads, samples): | |
start = datetime.now() | |
res = [] | |
with ThreadPool(processes=threads) as pool: | |
res.extend(pool.map(fetch_quote, range(samples))) | |
return res, datetime.now() - start | |
def sequential_extraction(samples): | |
start = datetime.now() | |
res = [] | |
for dt in range(samples): | |
res.append(fetch_quote()) | |
return res, datetime.now() - start | |
async def sample_asyncio(samples): | |
start = datetime.now() | |
async def main(): | |
async with aiohttp.ClientSession() as session: | |
async with session.get(URL) as resp: | |
return await resp.json() | |
results = await asyncio.gather(*[main() for _ in range(samples)]) | |
return results, datetime.now() - start | |
if __name__ == '__main__': | |
benchmarking_res = [] | |
for num_samples in chain(range(0, 10,3), range(10, 20, 5), [50], range(100, 2100, 600)): | |
for num_threads in [-1, 0, 8, 16, 24, 32, 64, 128]: | |
print(f'started with {num_samples} samples and {num_threads} threads') | |
if num_threads == -1: | |
data, time = asyncio.run(sample_asyncio(num_samples)) | |
elif num_threads == 0: | |
data, time = sequential_extraction(num_samples) | |
else: | |
data, time = parallel_extraction(num_threads, num_samples) | |
errors = len([x for x in data if x == 'ERROR']) | |
benchmarking_res.append({ | |
'num_samples': num_samples, | |
'num_threads': num_threads, | |
'execution_time': time, | |
'errors': errors | |
}) | |
_ = pd.DataFrame(benchmarking_res) | |
_.to_csv('results.csv', index=False) | |
_ = pd.pivot(_, index='num_samples', columns='num_threads', values='execution_time') | |
_.applymap(lambda x: pd.to_timedelta(x)).plot(figsize=(16, 9)) |
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from multiprocessing.pool import ThreadPool | |
import requests | |
from datetime import datetime | |
URL = "https://medium.fabianbosler.de/run" | |
def fetch_quote(*args): | |
try: | |
res = requests.get(URL).json() | |
except Exception: | |
res = 'ERROR' | |
return res | |
def parallel_extraction(threads, samples): | |
start = datetime.now() | |
res = [] | |
with ThreadPool(processes=threads) as pool: | |
res.extend(pool.map(fetch_quote, range(samples))) | |
return res, datetime.now() - start | |
if __name__ == "__main__": | |
print(parallel_extraction(16, 64)) |
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from multiprocessing import Pool | |
def f(x): | |
return x*x | |
if __name__ == '__main__': | |
res = [] | |
with Pool(5) as p: | |
res.append(p.map(f, [1, 2, 3])) | |
print(res) |
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