4

此示例适用于开发环境。在 Heroku 上，任务会排队但不会被消耗。有什么想法我可能做错了吗？

RabbitMQ 仪表板显示：

Name Parameters Policy State Ready Unacked Total 1f49ea51a56049f7a68082c6297ea080 Exp D AD HA idle 1 0 1 253eb525c95944d2b742f1f112cdc0e5 Exp D AD HA idle 1 0 1

过程文件

web: gunicorn hellodjango.wsgi --workers 1
celery: python manage.py celery worker -E --time-limit=1200 --loglevel=ERROR

设置.py

from os import environ
CELERY_RESULT_BACKEND = "amqp"
BROKER_POOL_LIMIT = 0
BROKER_URL = environ.get('CLOUDAMQP_URL', '')
CELERY_TASK_RESULT_EXPIRES = 14400

看法

from django.shortcuts import render
from django.http import HttpResponse
from proj.tasks import add_to_count
from models import SampleCount
import logging
def test_async(request):
    sc = add_to_count.delay()
    count = SampleCount.objects.all()[0].num 
    return HttpResponse("test count: %s sc: %s name: %s " %(count,sc,add_to_count.name ))

模型

from django.db import models
# Create your models here.
class SampleCount(models.Model):
    num = models.IntegerField(default=0)

任务.py

from __future__ import absolute_import
from celery import shared_task
from proj.models import SampleCount
from celery import task
@task(name='proj.tasks')
def add_to_count():
    try:
        sc = SampleCount.objects.get(pk=1)
    except:
        sc = SampleCount()
    sc.num = sc.num + 2
    sc.save()
    return(sc)
4

2 回答 2

1

我有同样的问题，就我而言，我认为这与命名有关。在您的 procfile 中，您使用的是 manage.py 而heroku 推荐类似：

worker: celery worker --app=tasks.app
于 2017-08-09T09:57:32.857 回答
0

限制 celery worker 的并发性，-c 1

于 2014-04-28T02:09:54.527 回答