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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