You should be able to catch a DeadlineExceededException and have
~400ms in which to return from your request before a
HardDeadlineExceededError is thrown.

Are you sure that you are not catching and ignoring the
DeadlineExceededException?  If so, can you create a small reproducible
test case for this?

On Mon, Feb 8, 2010 at 12:22 PM, Moritz <[email protected]> wrote:
> Hello everyone,
>
> in my application I have a scheduled task that runs every 5 minutes to
> update the cache. Currently it is a "brute force" implementation, that
> runs through all entities and computes all permutations required.
>
> This task usually takes longer than 30 seconds - and fails almost
> every time with a HardDeadlineExceededError.
>
> My problem is, that all available information currently is not clear
> about how to handle these errors. Maybe I missed it, but:
>
> - The documentation is only about bandwidth, number of requests, API
> calls etc.
> - The API provides methods to measure number of CPU cycles
> (getCpuTimeInMegaCycles()), but doesn't warn about reaching the limit
> - In the discussion group I find some information such as "maximum
> duration of 30 seconds for each request", but that is actually quite
> unspecific.
> - HardDeadlineExceededError is not documented in the API docs.
> Somewhere I read that a DeadlineExceededException should be thrown
> before - but I catch any "Exception" and still produce a
> HardDeadlineExceededError
>
> Of course, I could now just use a timer to run my job and terminate it
> gracefully shortly before 30 seconds are reached. But I'd prefer a
> better, more predictable and reliable option. Any suggestions?
>
> Thanx,
> Moritz
>
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