Question

我正在尝试使用APScheduler使用IntervalTrigger运行定期作业，我故意将最大运行实例数设置为1，因为我不希望作业重叠。

问题是，经过一段时间后，调度程序开始报告已经达到作业的最大运行实例数，即使之前已通知作业已成功完成，我在日志中发现了这一点：

2015-10-28 22:17:42,137 INFO     Running job "ping (trigger: interval[0:01:00], next run at: 2015-10-28 22:18:42 VET)" (scheduled at 2015-10-28 22:17:42-04:30)
2015-10-28 22:17:44,157 INFO     Job "ping (trigger: interval[0:01:00], next run at: 2015-10-28 22:18:42 VET)" executed successfully

2015-10-28 22:18:42,335 WARNING  Execution of job "ping (trigger: interval[0:01:00], next run at: 2015-10-28 22:18:42 VET)" skipped: maximum number of running instances reached (1)

2015-10-28 22:19:42,171 WARNING  Execution of job "ping (trigger: interval[0:01:00], next run at: 2015-10-28 22:19:42 VET)" skipped: maximum number of running instances reached (1)

2015-10-28 22:20:42,181 WARNING  Execution of job "ping (trigger: interval[0:01:00], next run at: 2015-10-28 22:20:42 VET)" skipped: maximum number of running instances reached (1)

2015-10-28 22:21:42,175 WARNING  Execution of job "ping (trigger: interval[0:01:00], next run at: 2015-10-28 22:21:42 VET)" skipped: maximum number of running instances reached (1)

2015-10-28 22:22:42,205 WARNING  Execution of job "ping (trigger: interval[0:01:00], next run at: 2015-10-28 22:22:42 VET)" skipped: maximum number of running instances reached (1)

正如您在日志中看到的那样，报告ping作业已成功执行，但是从该点开始下一次执行后不久。

这是我用来安排工作的代码：

    executors = {'default': ThreadPoolExecutor(10)}
    jobstores = {'default': SQLAlchemyJobStore(url='sqlite:///jobs.sqlite')}
    self.scheduler = BackgroundScheduler(executors = executors,jobstores=jobstores)
    ...
    self.scheduler.add_job(func=func,
                               trigger=trigger,
                               kwargs=kwargs,
                               id=plan_id,
                               name=name,
                               misfire_grace_time=misfire_grace_time,
                               replace_existing=True)

正在运行的函数本身启动一些线程以在多个网络节点上执行ping命令并将结果保存到文件

threads = []
for link in links:
    thread = Thread(target = ping_test, args = (link,count,interval,timeout))
    threads.append(thread)
    thread.start()
for thread in threads:
    thread.join()

请注意，超时设置为远低于触发间隔的数字，因此当下一次运行触发时，作业仍然无法执行。

对此问题的任何见解都非常感谢。

由于最大实例数，Apscheduler跳过作业执行

0 个答案: