Thank you.

What I need is heavy computing related to few users, they DON'T share any 
data.

User asks a query, some web service gives very long response,
and it is necessary to parse it maybe 20s.
In this time user can continue work include send next questions.

Finally user will receive info, which answers are parsed allready
and then he can choose from parsed data.
But I don't want save all parsed data to postgres database.

I think redis could be good here?
With namespaced keys instead of separated db, as you recommend.

So I need know, what is minimum for such scenario.
Redis + python module installed of course, that already works nice from 
python.

But in Web2py? Is it necessary to think about threads/queues ?
Or import the redis module and make one instance as bellow is enough:

> import redis
> r = redis.StrictRedis()
> r.set(....)








Dne čtvrtek 21. dubna 2016 22:27:28 UTC+2 Niphlod napsal(a):
>
> that machinery is only needed for a module that needs to be used within 
> web2py, as cache and session need (and should) use a single object per 
> class with namespaced keys. Also, there's really no point or any 
> performance benefit on using separate databases in redis, and they're 
> unofficially deprecated because they're not working reallty fine with the 
> new redis cluster. it's far better to namespace your keys.
>
> tl;dr: no, RConn() wasn't made with databases preselection in mind, mostly 
> because there's no need to.
>
> On Thursday, April 21, 2016 at 7:41:43 PM UTC+2, Mirek Zvolský wrote:
>>
>> I try understand how redis support should work.
>>
>> In the contrib web2py code I see function RConn() with code inside:
>>  
>>
>>> instance_name = 'redis_conn_' + current.request.application
>>
>> if not hasattr(RConn, instance_name):
>>
>>     setattr(RConn, instance_name, StrictRedis(*args, **vars))
>>
>>
>> It looks like this should separate (isolate) redis/StrictRedis instances 
>> by request.application.
>>
>> However, if I create 2 redis/StrictRedis instances and save them as 2 
>> different variables,
>> they will share same data.
>> To really separate them, I need set different db=NNN parameter:
>>
>> r1 = StrictRedis()
>> r2 = StrictRedis()
>> will be same,
>>
>> but
>> r1 = StrictRedis(db=1)
>> r2 = StrictRedis(db=2)
>> will be different.
>>
>> So, is the per application isolation really working?
>>
>>

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