我有一个 Django 应用程序，我在task.py下定义了几个@task函数，以便在给定的定期任务中执行。我 100% 确定该问题不是由task.py或任何相关的代码引起的，而是由于某些配置可能在settings.py或我的芹菜工人中。
任务确实在定期任务中执行，但会多次执行。
以下是芹菜工人日志：
celery -A cimexmonitor worker --loglevel=info -B -c 4
[2019-09-19 21:22:16,360: INFO/ForkPoolWorker-5] Project Monitor Started : APPProject1
[2019-09-19 21:22:16,361: INFO/ForkPoolWorker-4] Project Monitor Started : APPProject1
[2019-09-19 21:25:22,108: INFO/ForkPoolWorker-4] Project Monitor DONE : APPProject1
[2019-09-19 21:25:45,255: INFO/ForkPoolWorker-5] Project Monitor DONE : APPProject1
[2019-09-20 00:22:16,395: INFO/ForkPoolWorker-4] Project Monitor Started : APPProject2
[2019-09-20 00:22:16,398: INFO/ForkPoolWorker-5] Project Monitor Started : APPProject2
[2019-09-20 01:22:11,554: INFO/ForkPoolWorker-5] Project Monitor DONE : APPProject2
[2019-09-20 01:22:12,047: INFO/ForkPoolWorker-4] Project Monitor DONE : APPProject2
如果检查上述时间间隔，tasks.py 执行一项任务，但 2 名芹菜工人接受该任务并以相同的间隔执行相同的任务。我不确定为什么 2 名工人承担一项任务？
settings.py
..
..
# Internationalization
# https://docs.djangoproject.com/en/2.1/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'Asia/Kolkata'
USE_I18N = True
USE_L10N = True
USE_TZ = True
..
..
..
######## CELERY : CONFIG
CELERY_BROKER_URL = 'redis://localhost:6379'
CELERY_RESULT_BACKEND = 'redis://localhost:6379'
CELERY_ACCEPT_CONTENT = ['application/json']
CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIALIZER = 'json'
CELERY_ENABLE_UTC = True
CELERYBEAT_SCHEDULER = 'django_celery_beat.schedulers:DatabaseScheduler'
- celery.py
from __future__ import absolute_import, unicode_literals
from celery import Celery
import os
from django.conf import settings
os.environ.setdefault('DJANGO_SETTINGS_MODULE','cimexmonitor.settings')
## set the default Django settings module for the 'celery' program.
# 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 = Celery('cimexmonitor')
#app.config_from_object('django.conf:settings', namespace='CELERY')
app.config_from_object('django.conf:settings')
# Load task modules from all registered Django app configs.
app.autodiscover_tasks(settings.INSTALLED_APPS)
@app.task(bind=True)
def debug_task(self):
print('Request: {0!r}'.format(self.request))
- 其他信息：
→ celery --version
4.3.0 (rhubarb)
→ redis-server --version
Redis server v=3.0.6 sha=00000000:0 malloc=jemalloc-3.6.0 bits=64 build=7785291a3d2152db
django-admin-interface==0.9.2
django-celery-beat==1.5.0
- 请帮助我调试问题的方法：
谢谢
worker 和 beat 服务需要同时运行，才能根据https://github.com/celery/django-celery-beat定期执行任务
- 工人：
$ celery -A [project-name] worker --loglevel=info -B -c 5
- Django 调度程序：
celery -A [project-name] beat -l info --scheduler django_celery_beat.schedulers:DatabaseScheduler
- 运行两个worker，数据库调度程序，这是根据文档说的，这导致问题同时执行，我真的不确定
celery worker是如何同时开始作为数据库调度程序工作的。 - 只是运行
celery worker解决了我的问题。
来自官方文档：确保一次只执行一个任务。
另外，我希望您不要以相同的方式运行多个工作线程(celery -A cimexmonitor worker --loglevel=info -B -c 4(，因为这意味着您有多个芹菜节拍调度任务来运行......简而言之 - 确保你只有一个芹菜节拍运行！