if you're on 2.4.5 there shouldn't be problems with mysql (it has a 
transaction isolation "problem" that is different from any other db 
engine.... if you don't commit() you can't read what other processes 
committed already)

Anyway on my test rig this problem was superseeded some time ago: are you 
sure that there aren't problems connecting to that instance ? 

On Tuesday, April 2, 2013 11:00:04 PM UTC+2, Eric S wrote:
>
>
> I was wrong about SQLite - I got it working locally (thanks the debug 
> flag).
>
> I've had some issues with getting MySQL to 'refresh' when accessing from 
> different AMIs. Is there something I can do to force workers get an updated 
> database connection?
>
>
> On Tuesday, April 2, 2013 1:48:41 PM UTC-7, Niphlod wrote:
>>
>> are you sure your settings don't prevent a concurrent run ?
>> As soon as one of the worker sees 2 worker and 2 tasks it should assign 
>> one task to each one of them.
>> Try to run the workers with 
>> python web2py.py -K appname -D 0
>> to see the "debug" logging, one worker should print something like
>> TICKER: I'm a ticker
>> TICKER: workers are 2
>> TICKER: tasks are 2
>>
>> On Tuesday, April 2, 2013 10:29:38 PM UTC+2, Eric S wrote:
>>>
>>>
>>> I'm trying to run multiple Scheduler workers on different machines 
>>> (AMIs), but can't get two workers to work at the same time. Although each 
>>> worker is capable of processing jobs, only one will work at any one time.
>>>
>>> I see two workers in the db table 'scheduler_worker', both with status 
>>> 'ACTIVE'.
>>> I see two tasks in 'scheduler_tasks', one with status 'RUNNING', one 
>>> with status 'QUEUED'.
>>>
>>> I'm running each worker with: python web2py.py -K appName
>>> I'm using a shared MySQL database (on RDS), though I get the same 
>>> results locally with SQLite.
>>> The jobs I'm scheduling are long-running jobs so I need multiple 
>>> concurrent workers. Using web2py v2.4.5.
>>>
>>> Any ideas?
>>>
>>> Thanks,
>>> Eric
>>>
>>>

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