Interesting. So is the only way to do an in-memory cache to use my own "bytes 
used" counter, and a heuristic of how much I can afford to store?

(If so, that's kinda lame.)

On Nov 24, 2011, at 12:47 AM, Nick Johnson wrote:

> Weak references may not work as you expect in Python. Python uses both 
> reference counting and garbage collection; if the reference count of an 
> object goes to 0, it will be freed immediately, instead of waiting for 
> garbage collection. As a result, your cache may well be empty most or all of 
> the time.
> 
> -Nick Johnson
> 
> On Tue, Nov 22, 2011 at 12:46 AM, Joshua Smith <[email protected]> 
> wrote:
> When building in-memory caches, it's typical to use a weak reference system 
> (like a WeakHashMap in Java) so you don't have to rely on heuristics for how 
> much memory you should use. Googling around, I found a thing called 
> WeakValueDictionary in python. Anyone here have experience using one of these 
> in GAE?
> 
> On Nov 20, 2011, at 11:26 PM, Brandon Wirtz wrote:
> 
>> You get an amount of ram close to but not always equal to 128M or ram PER 
>> instance.
>>  
>> Python 2.7 uses more memory for Hello World, and less for most operations. 
>> They both use the same for storing things like Data Caches.
>>  
>> You can use the local instance in addition to data store. Not instead.  My 
>> apps waterfall from edge cache to instance memory  to memcache to datastore 
>> Use all the ram you can, it is free.  Don’t count on it being there, don’t 
>> over use it, and stick to the API’s and Libraries for accessing it, or the 
>> world will end violently.
>> No, I won’t share code for doing this it is our biggest selling point.
>>  
>> <image001.jpg>
>>  
>> -----Original Message-----
>> From: [email protected] 
>> [mailto:[email protected]] On Behalf Of JH
>> Sent: Sunday, November 20, 2011 5:17 PM
>> To: Google App Engine
>> Subject: [google-appengine] Re: Using RAM instead of datastore - any limits?
>>  
>> You get 128 megs of ram for front end instances.  Also, so far my experience 
>> says that py 2.7 uses quite a bit more ram just to run hello world.
>>  
>> On Nov 20, 5:58 pm, ThePiachu <[email protected]> wrote:
>> > My application relies on accessing a lot of simple stored data and
>> > displaying it. I'm considering storing all data in the RAM of the
>> > application in order not to have problems with datastore access
>> > quotas, but I'm not sure if there are any limits of how much data can
>> > be stored this way. Is there any limit on how much data can one store
>> > in say, a vector in RAM?
>>  
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