Derek, thanks for your suggestion. Which is the preferred way to reopen the
connection and define the tables?
My db.py contains
db = DAL(connection_string, options...)
db.define_table('table1', Field('f1' ...), Field('f2'...))
db.define_table(...)
db.define_table(...)
...
So ideally I wouldn't have to repeat this code in my script. Is it best I
break out the DAL/define_tables calls into a file that I import both in my
db.py and in my script.py?
On Tuesday, September 24, 2013 4:45:09 PM UTC-5, Derek wrote:
>
> Each time you need to do work, you should open a new connection. You'd
> think there is a large overhead in creating a connection, but there isn't.
>
> On Tuesday, September 24, 2013 2:33:24 PM UTC-7, Ricardo Cárdenas wrote:
>>
>> I have a web2py app running fine on pythonanywhere. I have a minor
>> problem - I think I understand why it is happening, but would seek your
>> advice as to how best to fix it.
>>
>> The app itself works fine. But I also run a scheduled task using PA's
>> scheduler, by executing "python web2py.py -S appname -M -R
>> appname/private/myscript.py". The script does some processing for a few
>> minutes, and only then starts writing to the MySQL database.
>>
>> PA's MySQL database has wait_timeout set to 120 seconds. If my initial
>> processing is less than wait_timeout, everything works fine. But when my
>> initial processing exceeds wait_timeout, I get a 'Lost Connection to
>> MySQL' error when my code tries to write to the database. I am using
>> connection pooling in the call to the DAL, but I guess the connection
>> instantiated by db.py file is not automatically kept warm nor is it
>> automatically replaced by another good connection when it expires.
>>
>> What's the best practice here:
>>
>> - Is there a preferred way to ping the database every once in a while?
>> - Is there a preferred way to detect an expired DAL connection, and
>> to request another one?
>>
>> Thanks for any suggestions or pointers. Sorry if this is in the docs,
>> couldn't find it. warm regards -Ricardo
>>
>>
--
Resources:
- http://web2py.com
- http://web2py.com/book (Documentation)
- http://github.com/web2py/web2py (Source code)
- https://code.google.com/p/web2py/issues/list (Report Issues)
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