由於django-celery這個模塊我在django1.10的版本內運行不起來，只能使用野生的Celery，Celery4支持django1.8以上的版本，1.8以下的版本請使用Celery3，整個配置過程並不複雜：
整個目錄結構：
一、安裝模塊：
pip install celery pip install django-celery-results
django-celery-results作用是將Celery的運行結果存入數據庫
二、建立Celery入口文件（celery.py）：
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', 'Mir2Admin.settings')
app = Celery('Mir2Admin')
# 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))三、把celery.py中的app加入__init__.py文件中，確保django運行的時候加載到它：
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']
四、配置settting.py：
# celery配置 CELERY_BROKER_URL = 'redis://:[email protected]:6379/3' #: Only add pickle to this list if your broker is secured #: from unwanted access (see userguide/security.html) CELERY_ACCEPT_CONTENT = ['json'] CELERY_RESULT_BACKEND = 'django-db' CELERY_TASK_SERIALIZER = 'json' INSTALLED_APPS = [ ...... 'django_celery_results', ...... ]
我的broker用redis，沒有redis的google擼一個
CELERY_RESULT_BACKEND這一項只有裝了django-celery-results這個模塊這裏才能配置'django-db'，把結果存入數據庫
五、生成數據表：
migrate django_celery_results
六、在自己的app中建立tasks.py文件，添加需要異步執行的函數：
# 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)
五、啓動測試（在django工程的manage.py同層目錄執行）：
/usr/local/python27/bin/celery -A Mir2Admin worker -l info
六、簡單測試：
python manage.py shell >>> from myapp.tasks import add >>> add.delay(2, 2)
從第五步的前臺日誌可以看到Celery執行結果，django-celery-results會把結果存進數據庫
七、生產環境配置（附件）：
添加啓動腳本：
chmod +x /etc/init.d/celeryd
添加配置文（/etc/default/celeryd）：
# Names of nodes to start # most people will only start one node: CELERYD_NODES="Mir2AdminCelery" # but you can also start multiple and configure settings # for each in CELERYD_OPTS #CELERYD_NODES="worker1 worker2 worker3" # alternatively, you can specify the number of nodes to start: #CELERYD_NODES=10 # Absolute or relative path to the 'celery' command: CELERY_BIN="/usr/local/python27/bin/celery" # App instance to use # comment out this line if you don't use an app CELERY_APP="Mir2Admin" # or fully qualified: #CELERY_APP="proj.tasks:app" # Where to chdir at start. CELERYD_CHDIR="/data/www/Mir2Admin" # Extra command-line arguments to the worker CELERYD_OPTS="--time-limit=300 --concurrency=8" # Configure node-specific settings by appending node name to arguments: #CELERYD_OPTS="--time-limit=300 -c 8 -c:worker2 4 -c:worker3 2 -Ofair:worker1" # Set logging level to DEBUG #CELERYD_LOG_LEVEL="DEBUG" # %n will be replaced with the first part of the nodename. CELERYD_LOG_FILE="/data/www/Mir2Admin/logs/%n%I.log" CELERYD_PID_FILE="/data/www/Mir2Admin/%n.pid" # Workers should run as an unprivileged user. # You need to create this user manually (or you can choose # a user/group combination that already exists (e.g., nobody). CELERYD_USER="root" CELERYD_GROUP="root" # If enabled pid and log directories will be created if missing, # and owned by the userid/group configured. CELERY_CREATE_DIRS=1
CELERYD_NODES：名稱，影響日誌文件名及pid文件名
CELERY_BIN：celery路徑
CELERY_APP：django工程名稱
CELERYD_CHDIR：django工程路徑
CELERYD_OPTS：參數
CELERYD_LOG_FILE：日誌路徑
CELERYD_PID_FILE：PID文件路徑
最後啓動一發：
/etc/init.d/celeryd start
參考文章：http://docs.celeryproject.org/en/latest/django/first-steps-with-django.html