Ikai,

Do you have a definitive answer on whether or not task/cron requests
count towards the 1000ms threshold? There seems to be some confusion
and counter-evidence here.

Including our cron/task requests, we run at 1500-2000ms / request.
This is largely because we have LOTS of taskqueue items and we tend to
do a fair amount of work in them. Further, when we do large spike jobs
(e.g., mapreduce), we see lots of deadline-related errors.

What is the best way to know if we're above or below this threshold?
(appid: steprep)

j

On Sep 16, 7:41 pm, "Jan Z/ Hapara" <[email protected]> wrote:
> 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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> > > > > For more options, visit this group at
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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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