celery -A celery_task worker -l info task和share_task的区别 django-celery中有两个装饰函数。一个是@task,另一个是@share_task。两者区别在于,前者只能自己这个APP使用。后者是一个全局的配置,多个初始化的APP都可以使用。 task 装饰函数,将函数当成celery的任务函数 import time from celery import Celery br...
简单说就是 share_task 不需要绑定到具体的 celery app 实例, >@shared_task将为每个应用程序创建任务的独立实例,从而使任务可重用 这个就是说,你的 任务和 celery 应用是解耦的。大概是这样, 你的任务也可以直接在其他项目中使用。和本身dj 项目没关系? 简书的文章,翻译的官方的celery 使用 django 显示@share_...
fromsite_celery.mainimportappfromceleryimportshared_taskimporttime@app.task(name='task2')defmul(x,y):time.sleep(2)print("The btest_mul task has been run , result is :%s!"%str(x*y))returnx*y# 做定时任务@app.task(name='schedule_add')defshare_add(x,y):time.sleep(2)print("---定...
my_awesome_project.taskapp.celery.debug_task celeryworker_1 | . my_awesome_project.users.tasks.do_stuff Could you share a project showing with the problem? I see you are on Windows 10, is that right? Finally, could you please confirm the version of Celery you're using? Author realm...
@shared_task defmul(x,y):returnx*y tasks.py可以写任务函数add、mul,让它生效的最直接的方法就是添加app.task 或shared_task 这个装饰器 添加setting配置 setting.py添加配置 代码语言:javascript 复制 # celery 配置连接redisBROKER_URL='redis://ip:6379'CELERY_RESULT_BACKEND='redis://ip:6379'CELERY_TA...
strategy=strategies[type_]KeyError:'apps.share.tasks.post_to_beiqia' 错误原因分析 本机有多个 django 项目,另外个项目也是用过 celery,“apps.share.tasks.post_to_beiqia”是另一个 django 项目的 task,所以说是 celery 找到了另外个项目的任务了,为什么能找到,猜想是 中间人是同一个(同 redis 同库),...
fromtutorial.tasksimport*task_mail.delay() 執行後, 你會發現 celery 的 terminal 會顯示一些資訊, celery 有非常多Signals可以使用, @signals.task_prerun.connectdefprerun_task_mail(task_id,task,*args,**kwargs):print(f"task_id:{task_id}, task:{task}")print("prerun_task_mail ...")@signals...
header_scan_task.s(web_information).set(queue='fast_queue') ], body=web_security_scan_finished.si().set(queue='fast_queue'), immutable=True)() return 扫描运行得很好(这些扫描有一个指示成功的body函数),但大多数时候我在回调时都会遇到超时错误 on_demand_scan_finished 被称为。你知道会发生什么...
Share this article Modern web applications and their underlying systems are faster and more responsive than ever before. However, there are still many cases where you want to offload execution of a heavy task to other parts of your entire system architecture instead of tackling them on your main...
CELERY_BEAT_SCHEDULE={"sample_task":{"task":"core.tasks.sample_task","schedule":crontab(minute="*/1"),},} Here, we defined a periodic task using theCELERY_BEAT_SCHEDULEsetting. We gave the task a name,sample_task, and then declared two settings: ...