For one of my urls, for a 1 hour period (12.50p to 1.50p log time
2010-09-20), I saw 89 DeadlineExceededErrors and 101 of the 10-second
timeouts. (appid: steprep)

WRT DeadlineExceededError - these requests are normally _well_ below
the 30s boundary.

j

On Sep 20, 1:24 pm, Kenneth <[email protected]> wrote:
> We're seeing a lot of 10 second and deadline errors today.  Nothing
> like last week but it is still pretty bad today.
>
> There are 21 non-task 10 second errors and 5 30 second deadline errors
> in the past 8 hours.  The deadline errors are on calls that would
> normally take <500ms.
>
> On Sep 20, 5:26 pm, Jason C <[email protected]> wrote:
>
>
>
> > I _do_ believe I'm seeing otherwise - in the form of lots of deadline-
> > related errors on large spike jobs (e.g., mapreduce and other
> > continuation-styled jobs).
>
> > Do you have any suggestions how I could measure this?
>
> > j
>
> > On Sep 20, 9:55 am, "Ikai Lan (Google)" <[email protected]>
> > wrote:> Task Queues and cron jobs should not. We encourage small tasks, but 
> > in
> > > general tasks that take several seconds to run should not impact your
> > > autoscaling. If you're seeing otherwise, please let us know.
>
> > > --
> > > Ikai Lan
> > > Developer Programs Engineer, Google App Engine
> > > Blogger:http://googleappengine.blogspot.com
> > > Reddit:http://www.reddit.com/r/appengine
> > > Twitter:http://twitter.com/app_engine
>
> > > On Mon, Sep 20, 2010 at 11:33 AM, Jason C <[email protected]> 
> > > wrote:
> > > > 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]<ikai.l%[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.
> > > > > > > ::
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>
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