Yes, this may be an option (update whole dict in Redis)... Mean time I get
rid of them, if I can succeed in that...

:)

Thanks Anthony.

Richard

On Thu, Jan 14, 2016 at 12:06 PM, Anthony <abasta...@gmail.com> wrote:

> On Thursday, January 14, 2016 at 11:12:12 AM UTC-5, Richard wrote:
>>
>> This is true for any other cache except cache.ram right?
>>
>
> Right. cache.ram works because it doesn't have to pickle a Python object
> and put it into external storage (and therefore create a fresh copy of the
> stored object via unpickling at retrieval time). Rather, it simply stores a
> pointer to the existing Python object within the current Python process. Of
> course, this limits cache.ram to a single process, so if your app is being
> served by multiple processes, each will have its own version of cache.ram.
>
>
>> If so, there is no gain with cache.redis the way I use it...
>>
>
> Well, the gain with Redis is that it will actually work, though you will
> have to adjust your code to save the whole dictionary back to the cache
> upon update.
>
>
>> @Anthony, are you sure about the issue with uwsgi/nginx and cache.ram
>> dict update?
>>
>
> I think so. You might try configuring uwsgi to run a single process with
> multiple threads instead of using multiple processes. Not sure how that
> will impact performance.
>
>
>> I guess, I should start to look at how to get rid of these global dict
>> while not degrading system performance. There surely place where I use
>> these global vars that wouldn't suffer from a little query to the backend,
>> but for grid where the performance was the greatest or simplifying code was
>> acheive with those it will be difficult to stop using them...
>>
>
> Is it really a problem to write the whole dictionary to Redis? How often
> are updates happening?
>
> Anthony
>
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