That would explain the task queue issue. I did notice a larger number of 
instances than usual, but that could have been as a result of the Calendar 
API issue.

Regarding your advice to set larger timeouts - do you have best practice 
for doing this when using the gdata library?

On Wednesday, 28 March 2012 15:10:02 UTC+1, Kenneth wrote:
>
> Have a look at this issue:  
> http://code.google.com/p/googleappengine/issues/detail?id=6481 
>
> Note that this is only a reporting issue only and doesn't affect what's 
> actually going on, so if you are experiencing cost increases that's 
> something else.  Make sure you set larger timeouts on your url fetches.
>
> On Wednesday, March 28, 2012 7:02:43 AM UTC+1, Gwyn Howell wrote:
>>
>> the app id is appogee-leave, but it seems to have sorted itself out now. 
>> yesterday from about 10am - 3pm utc the task queue was out of control, and 
>> we now have a bill to pay to cover it
>>
>> On Tuesday, 27 March 2012 22:51:11 UTC+1, nverne wrote:
>>>
>>> Can you please give us an app id so we can investigate?
>>>
>>> On Tue, Mar 27, 2012 at 9:27 PM, Gwyn Howell <[email protected]> 
>>> wrote:
>>> > Just checked the app engine console to alarmingly find over 20k tasks
>>> > sitting in the task queue and 25 instances running. Our app normally 
>>> runs on
>>> > 4-5 instances. I paused the tasks queue, so I could investigate. I 
>>> found
>>> > that the tasks were making calls to the Google Calendar API and 
>>> throwing
>>> > "DeadlineExceededError: ApplicationError: 5" exception presumably 
>>> UrlFetch
>>> > is timing out when communicating with the API. Regardless of this, 
>>> there
>>> > still should not be that many tasks, so I purged the queue and started 
>>> the
>>> > job again and sat there watching the tasks spawn - 1, 2, 3, 4, 5 all 
>>> the way
>>> > to about 20 tasks then suddenly 13,000 of them. Clearly this is 
>>> incorrect.
>>> > My app does not contain code to spawn that many tasks in such little 
>>> time.
>>> >
>>> > What is going on here? Why is App Engine reporting so many tasks?
>>> >
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>>

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