executors = {
'default': ThreadPoolExecutor(20),
'processpool': ProcessPoolExecutor(5)
}
job_defaults= {
'coalesce': True,
'max_instances': 1
}
timezone = get_localzone()
schedular = BlockingScheduler(jobstores=jobstores, executors=executors,job_defaults=job_defaults, timezone=timezone)
schedular.add_jobstore(redis_job_store)
@schedular.scheduled_job(id="start_covid_19_processor", name="start_covid_19_processor", trigger='interval', minutes=30, misfire_grace_time=None)
def run_covid_19_processor():
logger = logging.getLogger(log_tag)
logger.info("Starting job processing")
try:
start_covid_19_processor()
print "Sync tak dispatcher"
except:
logger.info("Exception at processing onboarding", exc_info=True)
'default': ThreadPoolExecutor(20),
# 'default': {'type': 'threadpool', 'max_workers': 20},
# 'processpool': ProcessPoolExecutor(max_workers=5)
}
conf = {
# redis配置
"host": '127.0.0.1',
"port": 6379,
"db": 0, # 连接15号数据库
"max_connections": 10 # redis最大支持300个连接数
}
# 创建定时任务的调度器对象
scheduler = BlockingScheduler(executors=executors)
# 添加任务持久化存储方式,如果未安装redis可省略此步骤
scheduler.add_jobstore(jobstore='redis', **conf)
# 使用configure方法进行配置
# scheduler.configure(executors=executors)
# 定义定时任务
def my_job(param1, param2):
print(param1)
print(param2)
def main():
# 向调度器中添加定时任务
# scheduler.add_job(my_job, 'date', args=[100, 'python'], run_date=date(2019, 12, 19))
# encoding: utf-8
# -*- coding: utf-8 -*-
# author = ‘LW’
from apscheduler.schedulers.background import BackgroundScheduler, BlockingScheduler
from django_apscheduler.jobstores import DjangoJobStore, register_events, register_job
import datetime
scheduler = BlockingScheduler()
scheduler.add_jobstore(DjangoJobStore(), 'default')
@register_job(scheduler, "interval", seconds=10)
def myTestJob():
print("myTestJob auto run {}".format(datetime.datetime.now()))
register_events(scheduler)
# scheduler.start()
# 使用mysql存储作业
# url = 'mysql://*****:*****@localhost/Sched'
#TODO 模版区域
jobstores = {'default': SQLAlchemyJobStore(url=url)}
executors = {
'default': ThreadPoolExecutor(20),
'processpool': ProcessPoolExecutor(5)
}
job_defaults = {'coalesce': False, 'max_instances': 3}
def job_fun(text="zach"):
print("{}\t".format(text), time.ctime())
#sched = BlockingScheduler(jobstores=jobstores,executors=executors,job_defaults=job_defaults)
# 简单执行
sched = BlockingScheduler()
sched.add_jobstore('sqlalchemy', url=url)
# 定时执行
specid = "zach1"
job = sched.add_job(job_fun, 'interval', seconds=5, id=specid, args=[
specid,
])
job2 = sched.add_job(job_fun,
'interval',
start_date='2017-06-19 10:42:40',
seconds=5)
sched.start()
from apscheduler.jobstores.mongodb import MongoDBJobStore
from pymongo import MongoClient
from apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor
import time
host = '127.0.0.1'
port = '27017'
def job_fun(text="zach"):
print("{}\t".format(text), time.ctime())
#sched = BlockingScheduler(jobstores=jobstores,executors=executors,job_defaults=job_defaults)
# 简单执行
sched = BlockingScheduler()
client = MongoClient(host=host, port=port)
storge = MongoDBJobStore(client=client)
sched.add_jobstore(storge)
# 定时执行
specid = "zach1"
job = sched.add_job(job_fun, 'interval', seconds=5, id=specid, args=[
specid,
])
job2 = sched.add_job(job_fun,
'interval',
start_date='2017-06-19 10:42:40',
seconds=5)
job.modify(max_instances=6, name='Alternate name')
sched.start()
