I'm not sure how much locality helps, but putting entities in a group
for performance sounds like it could go wrong, depending on your data.
Writes to entities within a group are serialized so having too many
within in a single group can seriously hurt performance.

The API doc has some good hints:
* Only use entity groups when they are needed for transactions
* A good rule of thumb for entity groups is that they should be about
the size of a single user's worth of data or smaller

(from 
http://code.google.com/appengine/docs/python/datastore/keysandentitygroups.html)

I think the scalable apps talk has some detail on this as well (and
it's definitely worth watching anyway):
http://sites.google.com/site/io/building-scalable-web-applications-with-google-app-engine

cheers
Michael

On Feb 10, 11:26 pm, Michael Hart <[email protected]> wrote:
> Not quite right - I think the "faster" property refers to the fact  
> that reads/writes can happen in parallel (because they're split over  
> multiple machines), not because of the actual geographical location of  
> the servers (not that this wouldn't help as well, but I don't believe  
> GAE currently has support for specifying geographical data location)
>
> I could be wrong though.
>
> On 11/02/2009, at 1:43 AM, Big Stu wrote:
>
>
>
> >> It also benefits from locality. Entity groups are stored close
> >> together (needed to make transactions fast), which is why lots of
> >> small entity groups makes the overall application faster (because  
> >> they
> >> can be spread out). If you do a bunch of processing on groups of
> >> entities in a single request then you can put them in a entity group,
> >> which should make that processing faster because they will be kept
> >> close.
>
> >> Dave.
>
> > I don't quite have my head wrapped around the entity group thing
> > either.  The transaction part I get...other benefits I don't quite get
> > yet.  If I were to build an app for managing dollar store inventory or
> > something like that would I want to make all the data related to a
> > particular store part of the same entity group?  So that the data for
> > a store in Toronto is part of one group, and the data for Vancouver is
> > part of another, and then as far as teh datastore and access times are
> > concerned the storage of the datasets will be best suited to the
> > geography of the situation?  Am I getting this right?
>
> > Thanks.
>
> > Stu
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