I find hard to believe that with a single worker, with that function that 
basically just prints something and an execution every 300 seconds the 
problem lies into a lock, unless the SQLite library available on your 
system is reallly old.

On Tuesday, March 26, 2013 2:21:21 PM UTC+1, Paolo valleri wrote:
>
> When yesterday I saw demo1 in timeout with ps auxf I have seen that a new 
> process was created. For this reason I started to debug scheduler and I 
> asked how to log etc. 
> Moreover, I restarted the scheduler manually so I am not able to 
> understand if the other different names are for an internal problem or 
> something different. 
> Do you think that should be fixed by using a different db engine?
>
> Paolo
>
> On Tuesday, March 26, 2013 12:42:14 PM UTC+1, Niphlod wrote:
>>
>> with the default logging.conf the timestamp is present as in all other 
>> web2py-related logging ....
>>
>> PS: are you sure that the worker is not killed/restarted by any chance 
>> (see the worker_name in the scheduler_run table)
>>
>> On Tuesday, March 26, 2013 11:33:53 AM UTC+1, Paolo valleri wrote:
>>>
>>> I executed again demo1, I run it several times, I got even in this case 
>>> elapsed time between two consecutive executions around 360 and even more 
>>> instead of 300. What can I do to understand what is not working correctly? 
>>> Moreover, I would suggest to add the timestamp to the scheduler debug 
>>> log.
>>>
>>>
>>>  Paolo
>>>
>>>
>>> 2013/3/25 Niphlod <nip...@gmail.com>
>>>
>>>>
>>>>
>>>> On Monday, March 25, 2013 10:46:12 PM UTC+1, Paolo valleri wrote:
>>>>>
>>>>> I didn't get your point, with one repetitive task, should I start the 
>>>>> scheduler with two or more workers? If so, I will try it.
>>>>>
>>>>
>>>> The point is that the thread that manages some logic every heartbeat 
>>>> seconds is the one in charge of "waiting" 5 loops to trigger the 
>>>> additional 
>>>> logic to pick up new tasks (a repetitive task is just a new task to 
>>>> execute). If the process "doing the work" is busy processing the task and 
>>>> the underlying thread reaches the "let's assign tasks" loop, the logic 
>>>> will 
>>>> be skipped (it's unuseful to assign tasks if a worker is already 
>>>> processing 
>>>> them). So it can happen that even if the "assignment" time has come, if 
>>>> the 
>>>> worker is processing tasks it will skip the "assignment"
>>>>
>>>> Actually I have just seen the stop time, on average the task completes 
>>>>> it cycle in just a few seconds (~1-2). Given that,  is what you have 
>>>>> suggested still valid?
>>>>>
>>>>
>>>> Nope. As I said it guaranteed that even in the case that the assignment 
>>>> loop falls into the timeframe of a RUNNING task, at the next round it will 
>>>> be picked up 
>>>>  
>>>>
>>>>> Last but not least, demo1 has gone in timeout after one successful 
>>>>> cycle, this is very odd, How I can debug the scheduler application and 
>>>>> find 
>>>>> its errors?
>>>>> I am running scheduler as a linux service, as described here: 
>>>>> http://web2py.com/books/**default/chapter/29/13#Start-**
>>>>> the-scheduler-as-a-Linux-**service-%28upstart%29<http://web2py.com/books/default/chapter/29/13#Start-the-scheduler-as-a-Linux-service-%28upstart%29>
>>>>>  
>>>>>
>>>>  
>>>> SQLite locking is the most probable cause.
>>>> The fastest way is to see what's happening is starting the scheduler 
>>>> with debug logging ....
>>>> web2py.py -K appname -D 0
>>>>  
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>>>>  
>>>>
>>>
>>>

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