scheduling

问题 I searched a lot. But i can't get the solution for it. In Spring, Quartz is used as a scheduler to repeat the particular task. Likewise in android, what is the scheduler is available to do the task repeatedly at the particular time intervals. I need a scheduler for Android and also i want to avoid memory leakage. I am having 5 different types of settings. All having the update interval time option. So i want to get the information from server based on the interval time. 回答1: If running within

问题 How to set a limit on the maximum amount of time a function can run for? For example, using time.sleep as a placeholder function, how to limit the amount of time time.sleep can run to a maximum of 5 mins (300 seconds)? import time try: # As noted above `time.sleep` is a placeholder for a function # which takes 10 minutes to complete. time.sleep(600) except: print('took too long') That is, how can time.sleep(600) above be limited and interrupted after 300 seconds? 回答1: On POSIX you have a

问题 I have a DB with game data (map, players, etc...) and I have a game core mechanics written in T-SQL stored procedure. I need process game loop (via the stored procedure) every "X" seconds. I tried used the SQL Job, but when I set the interval to seconds, the SQL server stops responding. If I set the interval greater than one minute, all was ok. I need game loop precise in time, e.g. the game loop will run only once and will be executed every "X" precisely (tolerance should be less than one

问题 I have a process with multiple threads. If one of my threads invokes a system call like gettimeofday() , does the kernel only switch that thread out of context to service the system call, or does it switch the entire process (and all other threads) out of context? 回答1: Most system calls may involve a context switch (if other tasks are runnable) and switch the processor's state to kernel mode. But gettimeofday (and e.g. getpid() ) are unusual. with recent kernels they use VDSO to avoid it (and

问题 I have a service class that I need to execute a method on a regular basis (fixed rate) based upon a configuration parameter. Originally I was going to use the Java TimerTask and then configure a timer to run it. Then also tie in spring application context lifecycle events to stop, start the said timer. When parsing their documentation I came across this. This offers a nice benefit that this task's life cycle can be managed by spring automatically for me. Also, allows scale-ability such that

问题 I created a Akka's scheduler to send mails daily by a fixed time ( example 6:00 Am daily ). So how to call the actor ? I mean what the logic should i use ? Thank you. 回答1: Just calculate the difference between now and the following 6PM, put that as the initial delay and then repeat every 24h? 回答2: Starting the job at 6 AM and simply repeating with 24 hour interval won't work if the server works in time zone observing dst - for half of the year the job will fire either at 5 AM or at 7 AM,

问题 I'm evaluating whether WF would be a good fit for a design I'm working on. I'm in that chicken-and-egg conundrum where I don't want to invest too much time in learning all the details until I have a good idea that it's going to be suitable. The one thing that I can't seem to find much on that could be significant is scheduling. And by that I mean scheduling of activities to start at a certain time. E.g. I have a workflow that, on starting, executes the first two activities - but then must

问题 From my understanding of Go scheduler, Go scheduling algorithm is partially preemptive: goroutine switches happen when a goroutine is calling a function or blocking on I/O. Does a goroutine switch happen when sending a message to a channel? // goroutine A ch <- message // some additional code without function calls // goroutine B message := <- ch In the code above, I want the code after ch <- message in A to be executed before switching to B, is this guaranteed? or does B get scheduled right

问题 I wonder if there is a common mechanism implemented in operating systems to minimize TLB flushes, by for instance grouping threads in the same process together in a "to be scheduled" list. I think this is an important factor when deciding between using processes against threads. If OS doesn't care whether the next thread is in the same process space or not, the so called advantage of threads "minimizing TLB flushes" might be overrated. Is that the case? Consider a system with hundreds of

问题 I got a ASP.NET MVC 4 web application and quartz.net running as a windows service and common logging configured according to these sources : http://geekswithblogs.net/TarunArora/archive/2012/11/16/install-quartz.net-as-a-windows-service-and-test-installation.aspx http://geekswithblogs.net/TarunArora/archive/2012/11/17/quartz.net-windows-service-configure-logging.aspx and with this code in Global.asax in place: var properties = new NameValueCollection(); properties["quartz.scheduler