Hi Ikai - the behavior we are seeing suggests the "offline" tasks are
subject to the same 1000msec rule as external requests.

Queuing up a number of tasks reliably results in the "Request was
aborted after waiting too long to attempt to service your request"
error - which is actually fine, BUT, the appengine kicks in the back-
off algorithm.

This results in tasks that cycle for 20+ generations, with mean time
between run attempts of 19hr+.

How do we know the 1000 msec rule is in effect?

The situation improves drastically if we introduce a large number of
"no-op" tasks that complete in ~40 msec and skew the averages.

J

On Sep 17, 2:05 am, "Ikai Lan (Google)" <[email protected]>
wrote:
> Jason, I think your situation is fine. Offline tasks have the property that,
> unlike user-facing tasks, do not require instant execution. If you schedule
> an offline task for "now", that actually means "when there's capacity" and
> App Engine can allocate idle capacity to process your request. Thus, the
> need to spin up additional instances is unnecessary in most cases. Are you
> seeing that your tasks are backed up?
>
> On Thu, Sep 16, 2010 at 12:56 PM, bFlood <[email protected]> wrote:
> > "which in turn affects the capacity available for running offline
> > tasks" - so, if you have a low volume site, you won't get that many
> > instances for your tasks? likewise, if you have some user facing
> > requests that go longer then 1000ms (by design or otherwise), the
> > instances available for your tasks are impacted? or am I confused?
>
> > On Sep 16, 8:44 am, "Nick Johnson (Google)" <[email protected]>
> > wrote:
> > > Hi Jason,
>
> > > The same appservers are used to serve user-facing and offline traffic.
> > The
> > > volume of user-facing traffic (that is below the latency threshold) you
> > > serve determines how many appservers we provision for your application,
> > > which in turn affects the capacity available for running offline (task
> > queue
> > > and cron) tasks.
>
> > > -Nick Johnson
>
> > > On Thu, Sep 16, 2010 at 1:41 PM, Jason C <[email protected]>
> > wrote:
> > > > The number of instances that App Engine makes available to your
> > > > application depends on if you keep your average request time under
> > > > 1000ms for user-facing requests.
>
> > > > Ikai Lan (I believe) said that taskqueue and cron job requests do not
> > > > count against this boundary. Ikai also said that this boundary was in
> > > > place because longer requests were bad for the ecosystem.
>
> > > > Since taskqueue and cron job requests do not count against this
> > > > boundary, in order for them to not be bad for the ecosystem, I'm
> > > > guessing that they are served from a different set of servers than
> > > > user-facing requests are.
>
> > > > We (appid: steprep) have a number of external machines that also hit
> > > > our urls. While we make every effort to keep user-facing requests
> > > > quick and responsive, we often use many seconds serving the requests
> > > > that are built for external machines (by design).
>
> > > > It has only just struck me this morning that this could be having a
> > > > bad (perhaps dramatic) impact on our overall scaleability.
>
> > > > First off, is it true that cron and taskqueue items are served on a
> > > > different set of servers? If so, is there any way to designate that a
> > > > particular url is being requested by a machine and can be routed to
> > > > this alternate set (of presumably slower) servers (e.g., a request
> > > > header)?
>
> > > > If I'm way off on all of this, and if taskqueue and cron jobs are
> > > > served from the same set of servers, I'm not sure how the "bad for the
> > > > ecosystem" argument holds, and perhaps Google should revisit this
> > > > 1000ms boundary condition altogether.
>
> > > > --
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> > > --
> > > Nick Johnson, Developer Programs Engineer, App Engine Google Ireland Ltd.
> > ::
> > > Registered in Dublin, Ireland, Registration Number: 368047
> > > Google Ireland Ltd. :: Registered in Dublin, Ireland, Registration
> > Number:
> > > 368047
>
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