Sasha, you are absolutely right.
Based on the orignal post I assumed that the number of Authority
records belonging to a given twitterUser is 0 or 1, because the get
method is used which returns the first result only (according to doc)
and not the fetch method which can return multiple results.
In
To make sure that we are on the right track. You do get the deadline
ExceededException on the get statement and the work upto that
statement do not cost so much time (you have verified this by
profiling/ checking timestamps of log statement)
I primarily develop in Java, but what I understand from
Robert,
Are you sure that this is going to work? In GAE there is a significant
difference between a property not being set/not existing at all and
being set to null/None.
Erwin
On 5 apr, 08:27, Robert Kluin wrote:
> Hey Greg,
> Assuming you are deleting the property definition from the Model,
I'm puzzled by all the answers, because to me the question is not
clear. Just like Robert says: different uses have different
requirements on the behavior of counters.
So what are you looking for and why do things like
DatastoreService.allocateIds or MemcacheService.increment not work for
you?
On
:( The logs and dashboard are filtered by application version and
normally only that of the version flagged as default are displayed.
Just found out that a non-default version had been used intensely.
On 17 mrt, 15:01, Erwin Streur wrote:
> Same problem now with my app.
>
> 7 hours in
Same problem now with my app.
7 hours into budget day, 6.5 CPU hours used, but chart CPU Seconds
Used/Second shows values ranging from 0.01 to 0.14. No excess # of
requests nor long running requests reported in the logs.
Have also raised an issue for it.
On 17 mrt, 00:17, Arun Shanker Prasad
wr
You are not the only one with this requirement. You might want to star
http://code.google.com/p/googleappengine/issues/detail?id=178
On Feb 5, 12:47 am, dudu wrote:
> Oh God...thanks folks, I used email just as example, I have other fields
> with this constraint problem.
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Ed,
You could indeed follow the Google suggested approach and ignore it.
Or consider it to happen infrequently and expect to catch most
violating situations by performing a find on email in the Datastore
before writing the User entity, maybe with some additional checks and
reporting during later
Yes, you can. The Mapper API has been designed for that kind of batch
processing, especially for the type where the large amount of
execution time is caused by the large amount of individual entities to
process (instead of long execution time for each of the entities).
I recommend having a look at
You might want to star the following issue
http://code.google.com/p/googleappengine/issues/detail?id=1269
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In another topic somebody mentioned api-status.com.
Indeed I find the following page to represent the GAE status much
better: http://api-status.com/6404/117406/Google-App-Engine-API
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As the message subtly indicated the problem is not in the execution of
your code handling the request, but the Google System preparing itself
for delegating the request to your code.
Probably it is trying to startup a new instance, but fails to do so
within 10 seconds ( check the Request Time/Late
Hi,
I find the System Status page (http://code.google.com/status/
appengine) misleading. It almost always shows 100% Availability and
"No significant issues". The non "No significant issues" was on 2nd
November: "Service disruption" even though I have see "Investigating"
in the mean time as well.
a serious problem
I'm curious to know whether other developers have similar issues and
how they addressed them. I haven't made up my mind about the
resolution strategy for this (tweak Spring, remove Spring, add keep a
live pings....)
Regards,
Erwin Streur
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I agree. Rumors indicate that there are a couple in the Netherlands
and Belgium (Google appears to like water ;-), but there is hardly any
information about which ones are used for what.
I'm surprised by the statement of Ikai Lan (Google) about it and would
like more clarification on it. Does it m
We have developed a application as a Google App, which does call backs
into our corporate domain for sending updates to the backend systems
using HTTP. Of course the corporate network is firework protected and
we have set rules to allow trafic based on the IP address ranges which
were used then.
A
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