此示例适用于dev环境。在Heroku上,任务会排队,但不会被消耗。你知道我做错了什么吗?
RabbitMQ控制面板显示:
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
Proc文件
web: gunicorn hellodjango.wsgi --workers 1
celery: python manage.py celery worker -E --time-limit=1200 --loglevel=ERRORSetting.py
from os import environ
CELERY_RESULT_BACKEND = "amqp"
BROKER_POOL_LIMIT = 0
BROKER_URL = environ.get('CLOUDAMQP_URL', '')
CELERY_TASK_RESULT_EXPIRES = 14400视图
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)Tasks.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)发布于 2017-08-09 17:57:33
我也有同样的问题,在我的例子中,我认为这是关于命名的问题。在您的procfile中,您使用的是manage.py,而heroku recommend类似于:
worker: celery worker --app=tasks.app发布于 2014-04-28 10:09:55
限制您的芹菜工作线程-c 1的并发性
https://stackoverflow.com/questions/23328056
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