Tim - Thanks - at first I was wary of the AJAX approach because I would
have to submit multiple ajax requests, then multiple additional requests to
get the image data. But I found that I could return base64 encoded image
data with the ajax request and display that instead, saving another HTTP
c
> cpu-bound.
>
> On Monday, November 3, 2014 7:03:23 PM UTC+1, Josh L wrote:
>>
>> Unfortunately after lots of experimentation I wasn't able to get the
>> multiprocessing module to work with web2py. What I did find however was
>> that I could use subprocess.che
Unfortunately after lots of experimentation I wasn't able to get the
multiprocessing module to work with web2py. What I did find however was
that I could use subprocess.check_output to launch a Python script
containing the multiprocessing module and a pool of workers, and I can get
data to the
I'm trying to solve a business problem where I need to cache many images,
around 20 at a time from a third party website on my server and then serve
those to a client. A key requirement is that they be made available as
quickly as possible, so for this reason I started building a function in
We
For now I'm just using a mysqldb.connect(options) object directly with a
cursor to call my SP, bypassing the web2py DAL completely. Of course this
means I have to create a new DB connection for every SP call, and I'm
thinking performance wise this might be worse off than just not using an SP
al
This still seems to be an issue for me running
2.9.5-stable+timestamp.2014.03.16.02.35.39.
I tried both mysqldb and the default pymysql driver. I want to use a stored
procedure to run a lengthy query that is run quite often by my application.
This behavior should be easily reproducable using a
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