A few answers:

1. Regarding async datastore queries, when you create an iterator, an
asynchronous query begins fetching the first batch. As you iterate over the
last batch, App Engine will asynchronously start fetching the next batch of
results. CPU cost will be the same, but overall end-to-end latencies should
decrease

2. Eclipse plugin should be updated by the end of day today. You can also
just download the SDK and set the path directly.

3. The Channel API collects many different mechanisms for doing browser
push. Long polling is one way, but this is a fallback for older browsers. I
believe it *should* be using web sockets when it detects a browser that can
support it.

--
Ikai Lan
Developer Programs Engineer, Google App Engine
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On Fri, Dec 3, 2010 at 9:26 AM, Robert Kluin <robert.kl...@gmail.com> wrote:

> I think Keakon is right.  One of the talks (the original one from IO
> maybe) explains the architecture.
>
>
>
>
> Robert
>
>
>
>
>
> On Fri, Dec 3, 2010 at 11:31, 风笑雪 <kea...@gmail.com> wrote:
> > In fact, the Channel API uses an iframe to maintain the connection. It
> > seems Google reuse the infrastructure of Google Talk.
> >
> > ----------
> > keakon
> >
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