The 1000 result limit was removed in Feb when they added query cursors
[1].  You can use the task queue to perform fault tolerant map reduce
jobs [2].  Full text search should be announced this month at
GoogleIO.

[1] 
http://googleappengine.blogspot.com/2010/02/app-engine-sdk-131-including-major.html
[2] http://code.google.com/appengine/articles/deferred.html

Robin

On May 6, 12:27 pm, mdipierro <[email protected]> wrote:
> What it really needs in my view is
>
> 1) remove the limit of 1000 records/select
> 2) provide real full text search (what users expect when they think of
> google and the one thing that they do not provide. You can do it with
> hacks but I do not believe it scales)
> 3) real transactions
>
> On May 6, 11:56 am, waTR <[email protected]> wrote:
>
>
>
> > GAE is useless without being able to use MapReduce...without MapReduce
> > you cannot do any relationships with tables of any significant size.
>
> > I get this opinion from ex-googlers.
>
> > On May 6, 7:47 am, mdipierro <[email protected]> wrote:
>
> > > My experience is that GAE is fine if you need to store many chunks of
> > > data (like wiki page) with very little relations to each other (no
> > > complex references), retrieve them by key/id (no complex queries) and
> > > are planning to have a lot of concurrent requests/second for that
> > > data.
>
> > > GAE is slow but it scales. It scales as long as queries are simple.
> > > You lose the ability to manipulate server-side an arbitrary large
> > > number of records. You can only fetch 1000 records at the time. You
> > > also risk data integrity because you have only single entity
> > > transactions not real transactions as in a relational database.
>
> > > I use it and I like it but for web2py.com for example, with 50000
> > > requests/day I prefer to pay $20/month and run on a VPS.
>
> > > Massimo
>
> > > On May 6, 9:08 am, mike <[email protected]> wrote:
>
> > > > From my past experiences i have found GAE a little slow, is this just
> > > > me?  With web2py development what has the community found with
> > > > deploying to GAE.

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