Good start. Now the other 67 megs?

I'm no Python expert, but if it really takes 60+ megs to just load the 
executing environment and code (which, seriously, is probably only a few K!), 
then, well, I'm speechless...

On Nov 25, 2011, at 12:07 PM, Brandon Wirtz wrote:

> You have to remember that there is garbage collection, indexing, pointers, 
> all the variables you loaded, and all the imports.
>  
>  
> From: [email protected] 
> [mailto:[email protected]] On Behalf Of Joshua Smith
> Sent: Friday, November 25, 2011 5:43 AM
> To: [email protected]
> Subject: Re: [google-appengine] Using RAM instead of datastore - any limits?
>  
> Wow - only 60? I thought python's interpreter was pretty efficient. Where's 
> the other half of the memory going?
>  
> On Nov 24, 2011, at 3:02 PM, Brandon Wirtz wrote:
> 
> 
> I have local memory as part of my Caching solution which is a Reverse Caching 
> Proxy.  You can’t have a very big site in Local memory because you only get 
> about 60 megs effective and memory isn’t shared between instances.
>  
> From: [email protected] 
> [mailto:[email protected]] On Behalf Of Joshua Smith
> Sent: Thursday, November 24, 2011 5:13 AM
> To: [email protected]
> Subject: Re: [google-appengine] Using RAM instead of datastore - any limits?
>  
> The case I'm thinking of is a proxy server, so that isn't really an issue 
> here.
>  
> On Nov 24, 2011, at 3:58 AM, Gerald Tan wrote:
> 
> 
> 
> Don't forget that caching your entities in instance memory will mean that it 
> will become stale if the entity is updated from another instance, and there 
> is no way of knowing that happens without querying the datastore.
>  
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