[英]How can run multiple celery tasks in parallel (by using group)?
我是 Celery 的新手。我想並行運行 demo_task,但它按順序而不是並行運行任務。 如果我做錯了什么,請告訴我。
import time
from celery import Celery
from celery import chain, group, chord, chunks
import pandas as pd
CONFIG = {
'BROKER_URL': 'redis://localhost:6379/0',
'CELERY_RESULT_BACKEND': 'redis://localhost:6379/0',
}
app = Celery()
app.config_from_object(CONFIG)
@app.task(name='demo_task')
def demo_task(x, y):
print("demo_task", x, y)
pd.DataFrame({"a": [1, 2, 3], "b": [2, 3, 4]}).to_csv(f"demo{x}.csv", index=False)
print("saved")
time.sleep(8)
def run_task():
print("start chain_call")
t = group(*[demo_task.signature((3, 3)),
demo_task.signature((4, 4)),
demo_task.signature((5, 5))]
).apply_async()
if __name__ == '__main__':
run_task()
[命令]
celery -A celery_demo worker -l info --pool=solo --purge
[日志]
[2022-04-22 16:29:51,668: WARNING/MainProcess] Please run `celery upgrade settings path/to/settings.py` to avoid these warnings and to allow a smoother upgrade to Celery 6.0.
[2022-04-22 16:29:51,668: INFO/MainProcess] Connected to redis://localhost:6379/0
[2022-04-22 16:29:51,668: INFO/MainProcess] mingle: searching for neighbors
[2022-04-22 16:29:52,672: INFO/MainProcess] mingle: all alone
[2022-04-22 16:30:05,602: WARNING/MainProcess]
[2022-04-22 16:30:05,602: WARNING/MainProcess] 4
[2022-04-22 16:30:05,602: WARNING/MainProcess]
[2022-04-22 16:30:05,602: WARNING/MainProcess] 4
[2022-04-22 16:30:05,602: WARNING/MainProcess] saved
[2022-04-22 16:30:13,614: INFO/MainProcess] Task demo_task[c017c03e-b49d-4d54-85c5-4af57dd55908] succeeded in 8.016000000061467s: None
[2022-04-22 16:30:13,614: INFO/MainProcess] Task demo_task[d60071c6-4332-4ec1-88fd-3fce79c06ab5] received
[2022-04-22 16:30:13,614: WARNING/MainProcess] demo_task
[2022-04-22 16:30:13,614: WARNING/MainProcess]
[2022-04-22 16:30:13,614: WARNING/MainProcess] 5
[2022-04-22 16:30:13,614: WARNING/MainProcess]
[2022-04-22 16:30:13,614: WARNING/MainProcess] 5
[2022-04-22 16:30:13,614: WARNING/MainProcess] saved
[2022-04-22 16:30:21,634: INFO/MainProcess] Task demo_task[d60071c6-4332-4ec1-88fd-3fce79c06ab5] succeeded in 8.015000000130385s: None
如果您使用“單獨”池,您如何期望任務並行運行?
相反,從 prefork 並發(默認)開始: celery -A celery_demo worker -l info -c 8
這將使 Celery worker 產生 8 個可以並行執行任務的工作進程。 如果您的機器有 8 個以上的內核,那么您可以將該數字從 8 增加到 N,其中 N 是主機上可用的內核數。 我總是 go 為 N-1 讓系統有更多的備用核心用於其他一些東西。
Prefork 並發非常適合 CPU 密集型任務。 如果您的任務更多地與 I/O 有關,請嘗試使用“gevent”或“eventlet”並發類型。
修改你的run_task function
async def run_task():
print("start chain_call")
t = await group(*[demo_task.signature((3, 3)),
demo_task.signature((4, 4)),
demo_task.signature((5, 5))]
).apply_async()
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