I followed up this tutorial: https://pawelmhm.github.io/asyncio/python/aiohttp/2016/04/22/asyncio-aiohttp.html and everything works fine when I am doing like 50 000 requests. But I need to do 1 milion API calls and then I have problem with this code:
url = "http://some_url.com/?id={}"
tasks = set()
sem = asyncio.Semaphore(MAX_SIM_CONNS)
for i in range(1, LAST_ID + 1):
task = asyncio.ensure_future(bound_fetch(sem, url.format(i)))
tasks.add(task)
responses = asyncio.gather(*tasks)
return await responses
Because Python needs to create 1 milion tasks, it basically just lags and then prints Killed
message in terminal. Is there any way to use a generator insted of pre-made set (or list) of urls? Thanks.
This is the code you are talking about. It takes up to 3 GB RAM so it is easily possible that it will be terminated by the operating system if you have low free memory.
import asyncio
from aiohttp import ClientSession
MAX_SIM_CONNS = 50
LAST_ID = 10**6
async def fetch(url, session):
async with session.get(url) as response:
return await response.read()
async def bound_fetch(sem, url, session):
async with sem:
await fetch(url, session)
async def fetch_all():
url = "http://localhost:8080/?id={}"
tasks = set()
async with ClientSession() as session:
sem = asyncio.Semaphore(MAX_SIM_CONNS)
for i in range(1, LAST_ID + 1):
task = asyncio.create_task(bound_fetch(sem, url.format(i), session))
tasks.add(task)
return await asyncio.gather(*tasks)
if __name__ == '__main__':
asyncio.run(fetch_all())
This is my suggestion how to use asyncio.Queue to pass URLs to worker tasks. The queue is filled as-needed, there is no pre-made list of URLs.
It takes only 30 MB RAM :)
import asyncio
from aiohttp import ClientSession
MAX_SIM_CONNS = 50
LAST_ID = 10**6
async def fetch(url, session):
async with session.get(url) as response:
return await response.read()
async def fetch_worker(url_queue):
async with ClientSession() as session:
while True:
url = await url_queue.get()
try:
if url is None:
# all work is done
return
response = await fetch(url, session)
# ...do something with the response
finally:
url_queue.task_done()
# calling task_done() is necessary for the url_queue.join() to work correctly
async def fetch_all():
url = "http://localhost:8080/?id={}"
url_queue = asyncio.Queue(maxsize=100)
worker_tasks = []
for i in range(MAX_SIM_CONNS):
wt = asyncio.create_task(fetch_worker(url_queue))
worker_tasks.append(wt)
for i in range(1, LAST_ID + 1):
await url_queue.put(url.format(i))
for i in range(MAX_SIM_CONNS):
# tell the workers that the work is done
await url_queue.put(None)
await url_queue.join()
await asyncio.gather(*worker_tasks)
if __name__ == '__main__':
asyncio.run(fetch_all())
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