芹菜任务链/工人发布

时间:2013-08-06 01:50:43

标签: celery django-celery celery-task

如果我编写一个调用其他芹菜任务的芹菜任务,我是否可以在不等待下游任务完成的情况下释放父任务/工作人员?

情况: 我正在使用API​​返回一些数据和下一个API调用的参数。我想将API背后的所有数据放入数据库中。我目前的方法是查询API以使批处理工作,启动一些下游处理器,然后递归地重新调用API +处理链。我担心当工人不关心他们孩子的结果时,这会锁定等待所有递归API调用的工人。

伪代码:

@task
def apiPing(start=None):
    """ Returns a dict of 5 elements, starting at the *start* element, or the 
    beginning of the list if start is not specified.  Also present in the dict is 'remaining',
    indicating how many elements are left in the API's list"""
    return json.loads(api(start))

@task
def processList(data)
    """ Takes a result from API ping, starts a task to store each element and a 
    chain to recall the API and process that."""
    for element in data:
        store(element).delay()

    if data['remaining']!=0:
        chain = chain(apiPing.s(data['last']), processList.s())
        chain.delay()

我从here了解到上述情况非常接近;在处理API中的所有数据之前,我不希望锁定处理processList()的工作程序。有没有办法启动下游任务并释放父工作者,或重构上述内容以不锁定工作人员?

测试显示工人实际上是这样锁定的:

from celery import task
from time import sleep

@task
def parent():
    print "In parent"
    child.apply_async()
    print "Out of parent"

@task
def child():
    print "In child"
    sleep(10)
    print "Out of child"

[2013-08-05 18:37:29,264: WARNING/PoolWorker-4] In parent
[2013-08-05 18:37:31,278: WARNING/PoolWorker-2] In child
[2013-08-05 18:37:41,285: WARNING/PoolWorker-2] Out of child
[2013-08-05 18:37:41,298: WARNING/PoolWorker-4] Out of parent

0 个答案:

没有答案
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