I'm having trouble running Web2py on Mac OS X 10.11.5 El Capitan - the
memory consumed by Web2Py just keeps growing. Left overnight it crashes my
application, corrupts my tables, and creates an unrecoverable mess.
I have uninstalled, and loaded a new download. This didn't work. Running
from a
Hi - first time posting here! First let me say thanks to Professor Di
Pierro and all the people who have done a great job on Web2Py. I am new to
web development, and Python, so I really appreciate all the work you did to
make this subject approachable. Now for my question:
I am having some diff
I thought I had the same problem, so followed the advice - I have done
this, and now get the error:
OperationalError: table auth_user already exists
This came about after Web2py ate all my memory and crashed overnight...so I am
not really sure what is happening here. Any further suggestions? A
Sorry I have not had time to respond quickly - I encountered the same thing
as Julian.
Running from Source shows the task with memory growth: 'python' this is
expected, because this was started from the terminal. Python 2.7.11 Gcc
4.2.1
Running from Binary shows the task with memory growth: 'w
I tried from source and saw the memory growth on OS X El Capitan.
I tried from the Mac binary and saw the memory growth on OS X El Capitan.
(this is without even starting the server). Just double click web2py in
finder.
On Monday, June 20, 2016 at 4:27:05 PM UTC-7, Anthony wrote:
>
> In both
e:
>
> Probably something else is going on. I suggest you create a minimal app
> that reproduces the problem and post it.
>
> Anthony
>
> On Saturday, June 18, 2016 at 8:47:42 AM UTC-4, DNeuman wrote:
>>
>> Hi - first time posting here! First let me say thanks to Pro
; being fed to BEAUTIFY. In general, a list of tuples should be no problem,
> and how that list of tuples was generated (e.g., via sorted or otherwise)
> should not matter.
>
> Anthony
>
> On Saturday, July 2, 2016 at 2:02:45 AM UTC-4, DNeuman wrote:
>>
>> I have attempte
No - sorry. And I understand there is not much more you can do to help.
I'll work a bit more on a test case. But I may have to let this drop if I
can't recreate it. I appreciate your help so far.
At this point, I think I have a few workarounds - avoid BEAUTIFY, or try to
use an ordered dict.
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