Did you set max_concurrent_requests for that queue? Perhaps there was
some latency on the datastore and your queue was adding 5 tasks each
second but all the tasks were still running until the 10 s datastore
timeout and then retrying. In that case you would get 50 tasks
executing in parallel all querying 1000 records. Could explain the
high CPU usage.

Dale

On Mar 5, 5:33 pm, Benjamin <[email protected]> wrote:
> Hi Nick,
>
> The app id is nimbits1  (nimbits1.appspot.com)
>
> The spike occurred around 12pm EST on March 3rd.  95% of the cpu being
> used at the time was
> Task Queues > deletedata  which is set to 5/sec with a bucket size of
> 5.
>
> Thanks!
>
> On Mar 4, 4:21 pm, Nicholas Verne <[email protected]> wrote:
>
>
>
> > Could you give us your app id and the approximate time of the gobbling
> > of CPU so we can investigate?
>
> > Thanks,
>
> > Nick
>
> > On Sat, Mar 5, 2011 at 5:49 AM, Benjamin <[email protected]> wrote:
> > > I have a Task that's purpose is to chew away at data that needs to be
> > > deleted. I have millions of records that need to go, so the task uses
> > > the low level api and key only queries to grab 1000 delete them and
> > > restart the task until the remaining count is zero.
>
> > > The task is set to 5/sec with a bucket size of 5. The other day it
> > > skyrocketed my CPU usage and maxed out my 5$ quota (400 CPU seconds /
> > > second, i think the lights in New York dimmed).  Am i missing some
> > > setting here? How do i keep a task queue chugging along at a fixed
> > > rate without a burst like that, regardless of how many tasks are in
> > > the queue?
>
> > > Thanks!
>
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