作者：刘宾， thomas_liub@hotmail.com
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分布式任务队列，配合Django扩展Django异步处理能力。参考资料
1. 安装celery, 并建立Celery文件
pip install celery
from __future__ import absolute_import, unicode_literals
import os
from celery import Celery
# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'proj.settings')
app = Celery('proj')
# Using a string here means the worker don't have to serialize
# the configuration object to child processes.
# - namespace='CELERY' means all celery-related configuration keys
# should have a `CELERY_` prefix.
app.config_from_object('django.conf:settings', namespace='CELERY')
# Load task modules from all registered Django app configs.
app.autodiscover_tasks()
@app.task(bind=True)
def debug_task(self):
print('Request: {0!r}'.format(self.request))
2. Django初始化加载
from __future__ import absolute_import, unicode_literals
# This will make sure the app is always imported when
# Django starts so that shared_task will use this app.
from .celery import app as celery_app
__all__ = ['celery_app']
3. 添加任务
# Create your tasks here
from __future__ import absolute_import, unicode_literals
from celery import shared_task
@shared_task
def add(x, y):
return x + y
@shared_task
def mul(x, y):
return x * y
@shared_task
def xsum(numbers):
return sum(numbers)
4. 启动worker
celery -A proj worker -l info
5. 周期性调度
- Crontab调度
- Solar调度
1. 安装celery-beat
pip install django-celery-beat
2. 安装app
INSTALLED_APPS = (
...,
'django_celery_beat',
)
3. 同步数据库表
python manage.py migrate
4. 启动
celery -A proj beat -l info -S django
