does TaskQueue is the Google solution for long running tasks, or it
will be another new API?

What about Big File Storage? I heard nothing about it on GIO.

Great work guys!

On Jun 19, 9:08 am, Sylvain <[email protected]> wrote:
> Django 1.02
>
> Check 
> thishttp://code.google.com/intl/fr/appengine/docs/python/tools/libraries....
> for version.
>
> from google.appengine.dist import use_library
> use_library('django', '1.0')
> ---
>
> On 19 juin, 13:05, Ubaldo Huerta <[email protected]> wrote:
>
> > Regarding django support.
>
> > Is it 1.02 support or just 1.0 support?
>
> > I'm currently using zip import (which slows things down significantly
> > when app instance is cold). The release notes says that django needs
> > to be installed. But where? Is 0.96 removed?
>
> > On Jun 19, 11:51 am, Paul Kinlan <[email protected]> wrote:
>
> > > Barry,
> > > I believe your treat each task as a webrequest and at the moment there is 
> > > a
> > > 10K limit 
> > > (http://code.google.com/appengine/docs/python/taskqueue/overview.html) on 
> > > the
> > > size of task items.  I believe the best course of action is to stash them 
> > > in
> > > memcache (although I am sure you may get instances where it might be 
> > > removed
> > > from memcache) - from what I understand enqueing on
> > > to the task queue is a lot faster than storing a temp object in the
> > > data store, depending
> > > on the reason for you using the
> > > queue, persisting the object to the datastore might negate some of its
> > > usefulness.
>
> > > I think some experimentation is needed.
>
> > > Paul
>
> > > 2009/6/19 Barry Hunter <[email protected]>
>
> > > > Excellent!
>
> > > > Is there any limits on the 'params' structure in the task queue?
>
> > > > Can we (should we!?!) pass around really big data via this, or would
> > > > it be best stored in memcache (for example) and just the key passed?
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