如何使用 Celery 顺序执行独立任务？

Question

我必须并行安排一些对运行来说似乎非常复杂的任务。它们不依赖于彼此的结果，函数需要 3 个参数。

我已经尝试过使用链、地图和星图方法。使用链我得到这个错误：

[2019-04-23 15:28:00,991: ERROR/PoolWorker-3] Task proj.apps.tasks.generate[112a7426-5ac3-4cd6-8416-5591c3c018a3] raised unexpected: TypeError('get expected at least 1 arguments, got 0',)
Traceback (most recent call last):
  File ".../local/lib/python2.7/site-packages/celery/app/trace.py", line 367, in trace_task
    R = retval = fun(*args, **kwargs)
  File ".../local/lib/python2.7/site-packages/celery/app/trace.py", line 622, in __protected_call__
    return self.run(*args, **kwargs)
  File ".../tasks.py", line 966, in generate
    return res.get()
TypeError: get expected at least 1 arguments, got 0

使用 map 我无法传递所有参数，使用 starmap 所有任务都同时启动。

[2019-04-23 15:48:00,991: INFO/MainProcess] Received task: generate[..]
[2019-04-23 15:48:00,991: INFO/MainProcess] Received task: generate[..]
[2019-04-23 15:48:00,991: INFO/MainProcess] Received task: generate[..]

任务示例：

@shared_task
def generate(field1, field2, field3=None):
   if field3 is not None:
      return field1 + field2 + field3
   return field1 + field2

使用链的代码：

res = chain(generate.s(i, 5, j) for i in array1 for j in array2)
return res.get()

使用星图的代码：

arguments = [(i, 4, j) for i in array1 for j in array2]
~generate.starmap(arguments)

Answer 1

如果任务真正独立，您应该使用 .si 而不是 .s:

tasks = chain(generate.si(i, 5, j) for i in array1 for j in array2)
res = tasks()
return res.get()

Answer 2

我需要做的就是制作一条链，如下所示：

res = chain(generate(i, 2, j)for i in array1 for j in array2)()
return res.get()

然后是运行芹菜，带有一个设置最大线程数的附加参数

celery -A tasks worker --concurrency=1

如何使用 Celery 顺序执行独立任务？

How to execute independent tasks sequentially using Celery?

python

django

celery