Richard

I have not had it successfully running under ubuntu 16.04 with a prior
version of pandas.  I have it running on Ubuntu 14.04 with the same version
of pandas.  It fails on:

import pandas as pd

-Jim

On Tue, Aug 16, 2016 at 1:02 PM, Richard Vézina <ml.richard.vez...@gmail.com
> wrote:

> Massimo's has always said it wasn't secure, I ignore the exact reason(s)...
>
> I suggest downgrading pandas with this rational you were using is in
> previous version of pandas and nginx without this problem...
>
> I do use pandas (but not HDF5 Store) and I don't experiment this issue...
> neither in 12.04 or 16.04
>
> Richard
>
> On Tue, Aug 16, 2016 at 1:55 PM, Jim S <j...@qlf.com> wrote:
>
>> In my reading I didn't see that downgrading pandas would help. Am I
>> missing something or did I mislead you with my post?  Downgrading ubuntu
>> would help (which is what we have now, but would like to run the latest
>> ubuntu).
>>
>> But, back to the main question, what are the biggest factors in not
>> recommending rocket for production use?  Does putting haproxy in front of
>> the rocket servers alleviate the concerns?
>>
>> -Jim
>>
>> On Tuesday, August 16, 2016 at 11:48:59 AM UTC-5, Richard wrote:
>>>
>>> You can't downgrade pandas package?
>>>
>>> Richard
>>>
>>> On Tue, Aug 16, 2016 at 12:35 PM, Jim S <j...@qlf.com> wrote:
>>>
>>>> Ron
>>>>
>>>> It would depend on what OS you're running on the x86 box.  This would
>>>> be a good place to start http://web2py.com/books/
>>>> default/chapter/29/13/deployment-recipes
>>>>
>>>> Also, if you don't mind, could you re-post this in a new thread so this
>>>> thread could focus on my initial question?
>>>>
>>>> -Jim
>>>>
>>>>
>>>> On Tuesday, August 16, 2016 at 11:23:17 AM UTC-5, Ron Chatterjee wrote:
>>>>>
>>>>> On that note, can someone point me to documentation about how to set
>>>>> up an environment in dedicated sever on X86? I am thinking about
>>>>> co-locating than shared hosting. If someone does go that route, how we
>>>>> manage to set up the hosting environment?
>>>>>
>>>>>
>>>>>
>>>>> On Tuesday, August 16, 2016 at 11:50:51 AM UTC-4, Jim S wrote:
>>>>>>
>>>>>> Hi
>>>>>>
>>>>>> I currently have my app deployed using Ubuntu 14.04 / nginx / uwsgi.
>>>>>> I have a couple of servers load-balanced behind a haproxy server.  I'm
>>>>>> running ssl on the haproxy system and talking http to web2y through
>>>>>> nginx/uwsgi.
>>>>>>
>>>>>> Now, I'm trying to upgrade ubuntu to 16.04 and an having issues with
>>>>>> pandas (used in my web2py app) through the nginx/uwsgi stack.  See this
>>>>>> issue for what might be causing it - http://stackoverflow.com/que
>>>>>> stions/19439190/segmentation-fault-while-using-pandas-in-uwsgi
>>>>>>
>>>>>> Fixing this error is obviously something beyond my capabilities so it
>>>>>> got me thinking about alternative deployment options.  One that I'm
>>>>>> considering is replacing my nginx / uwsgi stack with just the rocket 
>>>>>> server
>>>>>> to serve the web2py app.  My rocket servers (2 of them) would be behind 
>>>>>> the
>>>>>> haproxy server so would not be public-facing.
>>>>>>
>>>>>> I'm aware of the recommendation against running rocket in a
>>>>>> production environment but am not aware of the reasons for the
>>>>>> recommendation.
>>>>>>
>>>>>> My question - does running multiple rocket servers behind haproxy
>>>>>> remove the concerns about rocket in a production environment?
>>>>>>
>>>>>> -Jim
>>>>>>
>>>>> --
>>>> 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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>>>>
>>>
>>> --
>> 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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>
> --
> 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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-- 
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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