celery常用配置总结 【celery配置worker数和单个worker最多执行任务数】

我用的setting配置：#!/usr/bin/env pythonimport randomfrom kombu import serializationfrom kombu import Exchange, Queueimport ansibleServiceserialization.registry._decoders.pop("application/x-python-serialize")broker_url = ansibleService.getConfig('/etc/ansible/rabbitmq.cfg', 'rabbit', 'broker_url')celeryMq = ansibleService.getConfig('/etc/ansible/rabbitmq.cfg', 'celerymq', 'celerymq')SECRET_KEY='top-secrity'CELERY_BROKER_URL = broker_urlCELERY_RESULT_BACKEND = broker_urlCELERY_TASK_RESULT_EXPIRES = 1200CELERYD_PREFETCH_MULTIPLIER = 4CELERYD_CONCURRENCY = 1CELERYD_MAX_TASKS_PER_CHILD = 1CELERY_TIMEZONE = 'CST'CELERY_TASK_SERIALIZER='json'CELERY_ACCEPT_CONTENT=['json']CELERY_RESULT_SERIALIZER='json'CELERY_QUEUES = (Queue(celeryMq, Exchange(celeryMq), routing_key=celeryMq),)CELERY_IGNORE_RESULT = TrueCELERY_SEND_EVENTS = FalseCELERY_EVENT_QUEUE_EXPIRES = 60rmq作为消息队列。并发worker数25每个worker最多执行一个任务就销毁。（执行完全任务，进程销毁重建，释放内存）

# -*- coding:utf-8 -*-from datetime import timedeltafrom settings import REDIS_HOST, REDIS_PORT, REDIS_PASSWORD, REDIS_DB_NUM# 某个程序中出现的队列，在broker中不存在，则立刻创建它CELERY_CREATE_MISSING_QUEUES = TrueCELERY_IMPORTS = ("async_task.tasks", "async_task.notify")# 使用redis 作为任务队列BROKER_URL = 'redis://:' + REDIS_PASSWORD + '@' + REDIS_HOST + ':' + str(REDIS_PORT) + '/' + str(REDIS_DB_NUM)#CELERY_RESULT_BACKEND = 'redis://:' + REDIS_PASSWORD + '@' + REDIS_HOST + ':' + str(REDIS_PORT) + '/10'CELERYD_CONCURRENCY = 20  # 并发worker数CELERY_TIMEZONE = 'Asia/Shanghai'CELERYD_FORCE_EXECV = True    # 非常重要,有些情况下可以防止死锁CELERYD_PREFETCH_MULTIPLIER = 1CELERYD_MAX_TASKS_PER_CHILD = 100    # 每个worker最多执行万100个任务就会被销毁，可防止内存泄露# CELERYD_TASK_TIME_LIMIT = 60    # 单个任务的运行时间不超过此值，否则会被SIGKILL 信号杀死# BROKER_TRANSPORT_OPTIONS = {'visibility_timeout': 90}# 任务发出后，经过一段时间还未收到acknowledge , 就将任务重新交给其他worker执行CELERY_DISABLE_RATE_LIMITS = True# 定时任务CELERYBEAT_SCHEDULE = {'msg_notify': {'task': 'async_task.notify.msg_notify','schedule': timedelta(seconds=10),#'args': (redis_db),'options' : {'queue':'my_period_task'}},'report_result': {'task': 'async_task.tasks.report_result','schedule': timedelta(seconds=10),#'args': (redis_db),'options' : {'queue':'my_period_task'}},#'report_retry': {#    'task': 'async_task.tasks.report_retry',#    'schedule': timedelta(seconds=60),#    'options' : {'queue':'my_period_task'}#},}################################################# 启动worker的命令# *** 定时器 ***# nohup celery beat -s /var/log/boas/celerybeat-schedule  --logfile=/var/log/boas/celerybeat.log  -l info &# *** worker ***# nohup celery worker -f /var/log/boas/boas_celery.log -l INFO &################################################

以上是我在工作的一些总结。同时其它需要交代的是CELERYD_TASK_TIME_LIMITBROKER_TRANSPORT_OPTIONS使用需要十分谨慎， 如果CELERYD_TASK_TIME_LIMIT设置的过小，会导致task还没有执行完，worker就被杀死;BROKER_TRANSPORT_OPTIONS 设置的过小，task有可能被多次反复执行。