apscheduler的持久化存储

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': ProcessPoolExecutor(5)
}
job_defaults = {
    'coalesce': False,
    'max_instances': 3
}
scheduler = BackgroundScheduler(jobstores=jobstores, executors=executors, job_defaults=job_defaults, timezone=utc)

3、redis

conf = {
        "host": "10.0.1.1",
        "port": 6379,
        "db": 0,
        "max_connections": 10
      }
job.scheduler.add_jobstore(jobstore="redis", **conf)

来源：CSDN

作者：hqzxsc2006

链接：https://blog.csdn.net/hqzxsc2006/article/details/89950695