"business condition" like ????
it seems a poor design to have a task, than watch it and if it "hangs for 
some reason" kill it abruptly not based on "task started a while ago"

PS: are you on windows ? signal management on win poses a lot of 
limitations.

On Monday, March 11, 2013 10:27:17 PM UTC+1, dlypka wrote:
>
> timeout does not handle the case where it is discovered that the task 
> needs to be stopped ASAP due to a business condition.
> For example the remote server may have limited connections available so if 
> a task runs into trouble, the process needs
> to be killed ASAP to release the precious remote connection.  That is the 
> case in my application.
>
> Even with a while loop, there will have to be a way get the win32 process 
> id of the python task for a given worker so the right one
> can be killed.
>
> Looks like a better solution is for the task to have its own manager 
> thread that can listen for kill requests.
> i.e. the scheduler tasks need to be written using a standard piece of 
> scaffolding code to provide fine-grained task management.
>
> On Monday, March 11, 2013 3:27:35 PM UTC-5, Niphlod wrote:
>>
>> having a single worker for each task can be daunting (well, you could 
>> wrap web2py.py -K appname in a never-ending loop so it's restarted as soon 
>> as it gets killed)....
>> #!/bin/sh
>> while true
>>     do web2py/web2py.py -K yourapp
>>     echo 'killed, restarting in a bit'
>>     sleep 2
>> done
>>
>> but I'm curious about your use-case. Why do you need to terminate a 
>> RUNNING task (that can't be accomplished using the timeout parameter)?
>>
>>
>> On Monday, March 11, 2013 9:18:48 PM UTC+1, dlypka wrote:
>>>
>>> Thanks for the quick reply.
>>> I suppose a workaround is to have a separate worker for each task.
>>> The I can TERMINATE the worker.
>>>
>>> A suggestion: can you suggest some standard python scaffolding to 
>>> include in each
>>> task function to make it listen for a kill signal / message?
>>>
>>> On Monday, March 11, 2013 3:05:21 PM UTC-5, Niphlod wrote:
>>>>
>>>> once the task is inserted you should not change it's values unless its 
>>>> in the QUEUED status (technically the ASSIGNED works too, but it's NOT 
>>>> recommended).
>>>> there's no way for the scheduler to terminate a specific task once the 
>>>> task is started, unless you KILL the worker (setting the worker to 
>>>> TERMINATE will kill the worker as soon as the RUNNING task is finished).
>>>> PS: if you need to execute a task n times, use the repeat argument. 
>>>> using time.sleep(something) in a task has the side-effect of NOT returning 
>>>> to the main loop to execute potentially new QUEUED tasks (every scheduler 
>>>> process is allowed to process a single task at a time).
>>>> if you need to limit the time the task runs, use the timeout parameter.
>>>>
>>>> If something is not clear please ask.
>>>>
>>>> On Monday, March 11, 2013 8:04:52 PM UTC+1, dlypka wrote:
>>>>>
>>>>>
>>>>> I need a way to terminate a specific Scheduled Task while it is 
>>>>> RUNNING.
>>>>> I tried using Admin Database Admin to update the 
>>>>> scheduler_task.stop_time to a time close to now while it was running.
>>>>> But the task continued for several more minutes and COMPLETED its 
>>>>> normal 5 minute run.
>>>>> The task calls time.sleep(300) to make it run for 5 minutes.
>>>>>
>>>>> I guess the Scheduler is not looking at the db values every 3 seconds.
>>>>> Is it just checking the in memory task object properties?
>>>>>
>>>>> Is there a way to update the in memory object properties of a task 
>>>>> while it is running?
>>>>>
>>>>> Thanks.
>>>>>
>>>>

-- 

--- 
You received this message because you are subscribed to the Google Groups 
"web2py-users" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
For more options, visit https://groups.google.com/groups/opt_out.


Reply via email to