DeadlineExceededError: The API call datastore_v3.Put() took too long to respond and was cancelled.
Python 2.5/HR
I'm seeing it too actually.
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My app was slower, but I didn’t have the 10% error rate specified by the SLA to qualify as downtime. Did you? If you did, you can submit a ticket and I believe you will get a refund for the whole day’s billing.
Don’t hold me to that I haven’t read the SLA lately.
But you have to submit to receive a refund they aren’t automatic, and they are for error rates over 10% of requests (I’m pretty sure) so my app that is snappy just ran slow I don’t qualify. If your app is slower it may.
Brandon Wirtz |
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It clearly shows how the cron job I am running once a minute wasn't
executed for 1 hour.
I am using the HR datastore.
2012/1/31 Olivier <o.mi...@gmail.com>:
> we also just had issues with two production applications using HR.
>
File "/base/python_runtime/python_lib/versions/1/google/appengine/api/apiproxy_stub_map.py", line 592, in get_result
return self.__get_result_hook(self)
File "/base/python_runtime/python_lib/versions/1/google/appengine/datastore/datastore_rpc.py", line 1428, in __get_hook
self.check_rpc_success(rpc)
File "/base/python_runtime/python_lib/versions/1/google/appengine/datastore/datastore_rpc.py", line 1182, in check_rpc_success
rpc.check_success()
File "/base/python_runtime/python_lib/versions/1/google/appengine/api/apiproxy_stub_map.py", line 558, in check_success
self.__rpc.CheckSuccess()
File "/base/python_runtime/python_lib/versions/1/google/appengine/api/apiproxy_rpc.py", line 133, in CheckSuccess
raise self.exception > --
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