HDEEs can be thrown without a DEE if it happens in your own code.
Usually the most time consuming thing is waiting for API calls to
return so a timeout here will result in the API call stopping with a
DEE. So if you do not call the API often you can hit HDEE directly.
I also have long running tasks that iterate through data processing
and storing results. I use an Iterator that stops returning results
after 20 seconds and saves the last object processed and then kicks
off a new task to continue processing.
My original solution caught the DEE and then cleaned up but this
stopped working reliably.
On 9 Feb 2010, at 01:22, Moritz 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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