Hello Jeff!

Thanks for your reply.

I would estimate that it is around 0.04% of the calls that fails.

Would it help to catch the timeout exception and do a retry directly
again or would that also fail?

I am mostly worried that the data from the users will go lost.


/Marcus



On Apr 4, 3:02 am, Jeff S <j...@google.com> wrote:
> Hi Marcus,
>
> You are correct that get_by_key_name does tend to be a very efficient
> query, but it is possible to see atimeoutthough this is usually
> quite rare as a percentage of overall requests. Do you have a feel for
> what percentage of these get operations are timing out?
>
> Thank you,
>
> Jeff
>
> On Apr 2, 1:06 am, Marcus <sucram.mar...@gmail.com> wrote:
>
> > Hello!
>
> > I am getting some timeouts in my app. My app uses get_by_key_name
> > along with alot of other database accessing. I get around 5-10 timouts
> > each day and it is always get_by_key_name that times out, never any
> > other database acceses.
>
> > Why could this be? Is there a way to protect the app from these
> > timeouts. I thought get_by_key_name was a fast access to the database.
> > The app have akeythat is around 20 characters long and the app have
> > quite a lot of users (I guess around 200 000).
>
> >   File "/base/python_lib/versions/1/google/appengine/ext/db/
> > __init__.py", line 849, in get_by_key_name
> >     return get(*keys)
> >   File "/base/python_lib/versions/1/google/appengine/ext/db/
> > __init__.py", line 1044, in get
> >     entities = datastore.Get(keys)
> >   File "/base/python_lib/versions/1/google/appengine/api/
> > datastore.py", line 221, in Get
> >     raise _ToDatastoreError(err)
> >   File "/base/python_lib/versions/1/google/appengine/api/
> > datastore.py", line 1965, in _ToDatastoreError
> >     raise errors[err.application_error](err.error_detail)
> >Timeout
>
>
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