On Wed, Nov 23, 2011 at 8:48 AM, Richard Arrano <[email protected]> wrote:
> @Brandon:
> This is true but it just would take a lot of rewriting that may or may
> not be worth it.
>
> @Brian
> Thanks for the tip, I didn't even realize that(I haven't been using
> AppStats, shame on me). Would the savings be worth it, in your
> opinion, when they're not present in the cache and have to resort to 3
> gets of varying size?

Its hard to give advice on this kind of complexity vs. performance
trade-off without really understanding the application.

Datastore gets are slower than memcache gets but are still pretty quick.

Cheers,
Brian

> On Nov 22, 12:37 pm, Brian Quinlan <[email protected]> wrote:
>> Hi Richard,
>>
>> On Wed, Nov 23, 2011 at 7:18 AM, Richard Arrano <[email protected]> wrote:
>> > Hello,
>> > Quick question regarding multithreading in Python 2.7:
>> > I have some requests that call 2-3 functions that call the memcache in
>> > each function. It would be possible but quite complicated to just use
>> > get_multi, and I was wondering if I could simply put each function
>> > into a thread and run the 2-3 threads to achieve some parallelism.
>> > Would this work or am I misunderstood about what we can and cannot do
>> > with regards to multithreading in 2.7?
>>
>> This will certainly work put I'm not sure that it would be worth the 
>> complexity.
>>
>> Fetching a value from memcache usually takes <5ms so parallelizing 3
>> memcache gets is going to save you ~10ms.
>>
>> Cheers,
>> Brian
>>
>>
>>
>>
>>
>>
>>
>> > Thanks,
>> > Richard
>>
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