apscheduler

apscheduler - multiple instances

纵饮孤独 提交于 2019-12-09 22:59:50
问题 I have apscheduler running in django and it appears to work ... okay. In my project init .py, I initialize the scheduler: scheduler = Scheduler(daemon=True) print("\n\n\n\n\n\n\n\nstarting scheduler") scheduler.configure({'apscheduler.jobstores.file.class': settings.APSCHEDULER['jobstores.file.class']}) scheduler.start() atexit.register(lambda: scheduler.shutdown(wait=False)) The first problem with this is that the print shows this code is executed twice. Secondly, in other applications, I'd

Apscheduler is executing job multiple times

佐手、 提交于 2019-12-09 04:57:36
问题 I have a django application running with uwsgi (with 10 workers) + ngnix. I am using apscheduler for scheduling purpose. Whenever i schedule a job it is being executed multiple times. From these answers ans1, ans2 i got to know this is because the scheduler is started in each worker of uwsgi. I did conditional initializing of the scheduler by binding it to a socket as suggested in this answer and also by keeping a status in the db, so that only one instance of scheduler will be started, but

How to run recurring task in the Python Flask framework?

有些话、适合烂在心里 提交于 2019-12-09 04:08:39
问题 I'm building a website which provides some information to the visitors. This information is aggregated in the background by polling a couple external APIs every 5 seconds. The way I have it working now is that I use APScheduler jobs. I initially preferred APScheduler because it makes the whole system more easy to port (since I don't need to set cron jobs on the new machine). I start the polling functions as follows: from apscheduler.scheduler import Scheduler @app.before_first_request def

APScheduler how to trigger job now

霸气de小男生 提交于 2019-12-09 03:03:25
问题 I have an APScheduler in a Flask app, sending events at some intervals. Now i need to "refresh" all jobs, in fact just starting them now if they don't run without touching on the defined interval. I'v tried to call job.pause() then job.resume() and nothing, and using job. reschedule_job(...) would trigger it but also change the interval... which i don't want. My actual code is bellow: cron = GeventScheduler(daemon=True) # Explicitly kick off the background thread cron.start() cron.add_job(

apscheduler的持久化存储

一世执手 提交于 2019-12-08 19:32:41
1、mysql url="mysql+pymysql://user:passwd@host/dbname?charset=utf8" job.scheduler.add_jobstore(jobstore="sqlalchemy",url=url,tablename='api_job') 2、sqlite from apscheduler.schedulers.background import BackgroundScheduler from apscheduler.jobstores.mongodb import MongoDBJobStore from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore from apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor jobstores = { 'mongo': MongoDBJobStore(), 'default': SQLAlchemyJobStore(url='sqlite:///jobs.sqlite') } executors = { 'default': ThreadPoolExecutor(20), 'processpool':

python定时任务:apscheduler的使用(还有一个celery~)

徘徊边缘 提交于 2019-12-06 10:44:36
文章摘自: https://www.cnblogs.com/luxiaojun/p/6567132.html 1 . 安装 pip install apscheduler 2 . 简单例子 # coding:utf-8 from apscheduler.schedulers.blocking import BlockingScheduler import datetime def aps_test(): print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), '你好') scheduler = BlockingScheduler() scheduler.add_job(func=aps_test, trigger='cron', second='*/5') scheduler.start() 操作作业 上面是通过add_job()来添加作业,另外还有一种方式是通过scheduled_job()修饰器来修饰函数 import time from apscheduler.schedulers.blocking import BlockingScheduler sched = BlockingScheduler() @sched.scheduled_job('interval', seconds=5) def my_job

Python任务调度模块 – APScheduler

僤鯓⒐⒋嵵緔 提交于 2019-12-05 15:09:50
Python任务调度模块 – APScheduler 2015年6月11日 by debugo · 14条评论 APScheduler简介 APScheduler是一个Python定时任务框架,使用起来十分方便。提供了基于日期、固定时间间隔以及crontab类型的任务,并且可以持久化任务、并以daemon方式运行应用。目前最新版本为3.0.x。 在APScheduler中有四个组件: 触发器(trigger) 包含调度逻辑,每一个作业有它自己的触发器,用于决定接下来哪一个作业会运行。除了他们自己初始配置意外,触发器完全是无状态的。 作业存储(job store) 存储被调度的作业,默认的作业存储是简单地把作业保存在内存中,其他的作业存储是将作业保存在数据库中。一个作业的数据讲在保存在持久化作业存储时被序列化,并在加载时被反序列化。调度器不能分享同一个作业存储。 执行器(executor) 处理作业的运行,他们通常通过在作业中提交制定的可调用对象到一个线程或者进城池来进行。当作业完成时,执行器将会通知调度器。 调度器(scheduler) 是其他的组成部分。你通常在应用只有一个调度器,应用的开发者通常不会直接处理作业存储、调度器和触发器,相反,调度器提供了处理这些的合适的接口。配置作业存储和执行器可以在调度器中完成,例如添加、修改和移除作业。 你需要选择合适的调度器

python apscheduler - skipped: maximum number of running instances reached

人盡茶涼 提交于 2019-12-04 17:01:36
问题 I am executing a function every second using Python apscheduler (version 3.0.1) code : scheduler = BackgroundScheduler() scheduler.add_job(runsync, 'interval', seconds=1) scheduler.start() It's working fine most of the time but sometimes I get this warning: WARNING:apscheduler.scheduler:Execution of job "runsync (trigger: interval[0:00:01], next run at: 2015-12-01 11:50:42 UTC)" skipped: maximum number of running instances reached (1) 1.Is this the correct way to execute this method? 2.What

python apscheduler not consistent

為{幸葍}努か 提交于 2019-12-04 16:35:28
I'm running a scheduler using python apscheduler inside web.py framework. The function runserver is supposed to run everyday at 9 a.m but it is inconsistent. It runs most days but skips a day once in a while. Code: import web from apscheduler.schedulers.blocking import BlockingScheduler #Blocking Scheduler #URLs urls = ( '/startscheduler/','index', ) Nightlysched = BlockingScheduler() @Nightlysched.scheduled_job('cron', hour=9) def runserver(): print 2+2 #doing some calculations here #Main function to run the cron JOB if __name__ == "__main__": Nightlysched.start() #stating the job app = web

Apscheduler is executing job multiple times

邮差的信 提交于 2019-12-03 04:01:14
I have a django application running with uwsgi (with 10 workers) + ngnix. I am using apscheduler for scheduling purpose. Whenever i schedule a job it is being executed multiple times. From these answers ans1 , ans2 i got to know this is because the scheduler is started in each worker of uwsgi. I did conditional initializing of the scheduler by binding it to a socket as suggested in this answer and also by keeping a status in the db, so that only one instance of scheduler will be started, but still the same problem exists and also sometimes when creating a job the scheduler is found not running