whoa. seems that something wrong is happening trying to assing new tasks....
normally, every
web2py.scheduler.mapserver#7791 - INFO - TICKER: I'm a ticker
should be followed closely by the lines
web2py.scheduler.mapserver#7791 - INFO - TICKER: workers are 1
web2py.scheduler.mapserver#7791 - INFO - TICKER: tasks are 0
While in your case for several times those lines are not present....
The fact is that the assignment is wrapped yet in a try except clause and 
every exception should be logged as well, but your log doesn't show 
anything of that.

I can add more debug lines to the scheduler but this didn't ever happen on 
all my platforms, so without reproducing it I'm a little bit unsure what 
the fix can be.

On Tuesday, March 26, 2013 4:26:11 PM UTC+1, Paolo valleri wrote:
>
> the flle! sorry...
>
>  Paolo
>
>
> 2013/3/26 paolo....@gmail.com <javascript:> <paolo....@gmail.com<javascript:>
> >
>
>> If can be useful, I attached part of the log file in which demo1 is 
>> executed. 
>> First execution: 2013-03-26 15:52:31
>> second execution: 2013-03-26 15:58:55 (+384s)
>>
>>  Paolo
>>
>>
>> 2013/3/26 Paolo valleri <paolo....@gmail.com <javascript:>>
>>
>>> >>> import sqlite3
>>> >>> print sqlite3.version
>>> 2.6.0
>>> >>> print sqlite3.sqlite_version
>>> 3.7.9
>>> But, if the db lock is not the problem, the test application is very 
>>> easy, where is it supposed to be the problem?
>>>
>>>
>>> On Tuesday, March 26, 2013 2:32:50 PM UTC+1, Niphlod wrote:
>>>>
>>>> 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/**defaul**t/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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