You can check this product we have developed. It takes care of most of the
intricacies you have mentioned transparently.

http://www.cloud2db.com

On Wed, Dec 16, 2009 at 11:20 AM, Andy Freeman <ana...@earthlink.net> wrote:

> > it still can result in timout if the data is really big
>
> How so?  If you don't request "too many" items with a page query, it
> won't time out.  You will run into runtime.DeadlineExceededErrors if
> you try to use too many page queries for a given request, but ....
>
> > of no much use to most of us if we really have big data to sort and
> > page.
>
> You do know that the sorting for the page queries is done with the
> indexing and not user code, right?  Query time is independent of the
> total amount of data and depends only on the size of the result set.
> (Indexing time is constant per inserted/updated entity.)
>
> On Dec 16, 12:13 am, ajaxer <calid...@gmail.com> wrote:
> > it is too complicated for most of us.
> > and it still can result in timout if the data is really big
> >
> > of no much use to most of us if we really have big data to sort and
> > page.
> >
> > On Dec 15, 11:35 pm, Stephen <sdea...@gmail.com> wrote:
> >
> >
> >
> > > On Dec 15, 8:04 am, ajaxer <calid...@gmail.com> wrote:
> >
> > > > also 1000 index limit makes it not possible to fetcher older data on
> > > > paging.
> >
> > > > for if we need an indexed page more than 10000 items,
> > > > it would cost us a lot of cpu time to calculate the base for GQL
> > > > to fetch the data with index less than 1000.
> >
> > >http://code.google.com/appengine/articles/paging.html- Hide quoted text
> -
> >
> > - Show quoted text -
>
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