App Engine is so great that you can not write unit tests using
entities even if
you don't persist them. Just calling the constructor of an entity
makes all the datastore
stuff load which is slow. You do not want your unit test to take 1
minute to run, do you?
What we have done to be able to write
Same here. We are just planning a migration out of GAE :-(
On 27 oct, 19:44, johnP j...@thinkwave.com wrote:
Appengine has been horrible since the last maintenance. Periodic
waves of Request was aborted after waiting too long... and
DeadlineExceededErrors... Flurries of 25-100 of these in a
Is there a way to optimize Gae-Django-Helper load time?
Thanks
On 26 oct, 00:37, Geoffrey Spear geoffsp...@gmail.com wrote:
On Oct 25, 12:37 pm, Carlos Ble ble.jur...@gmail.com wrote:
This answer does not help Ikai. We are facing this problem even in
urls that just load and render a simple
(ClassLoader.java:336)
Other versions of my app also end with 500 very frequently.
Thanks in advance,
Pomu
2010/10/20 Carlos Ble ble.jur...@gmail.com:
More info:
10-20 04:41AM 48.795 / 500 38679ms 919cpu_ms -
(DeadeLineExceededError)
Instances:
Total number of instances
Hi,
We are facing several DeadlineExceededError since yesterday. Appid =
mavencharts
10-20 04:30AM 24.323 / 500 31863ms 1539cpu_ms
At that time Average QPS was about 0.04 and there was 2 instances
running.
Thanks
On 18 oct, 12:03, Stepan stepan.wag...@gmail.com wrote:
Last 3-4 days my app has
31.8 MBytes
Is there anything we can do to make our site work again?
On 20 oct, 12:40, Carlos Ble ble.jur...@gmail.com wrote:
Hi,
We are facing several DeadlineExceededError since yesterday. Appid =
mavencharts
10-20 04:30AM 24.323 / 500 31863ms 1539cpu_ms
At that time Average QPS
MBytes
0.033 320.5 ms31.2 MBytes
On 20 oct, 12:40, Carlos Ble ble.jur...@gmail.com wrote:
Hi,
We are facing several DeadlineExceededError since yesterday. Appid =
mavencharts
10-20 04:30AM 24.323 / 500 31863ms 1539cpu_ms
At that time Average QPS was about 0.04 and there was 2
It just has happened to our app (id=mavencharts).
12:55PM Pacific time.
File /base/python_runtime/python_lib/versions/1/google/appengine/api/
apiproxy_rpc.py, line 126, in CheckSuccess\nraise self.exception\n
\nDeadlineExceededError: The API call mail.Send() took too long to
respond and was
However the user just told us the he has got the email this time. Does
it always tries to resend the email after the failure? Can we make
sure every time Send is cancelled, it is processed at some point
later?
On 11 oct, 21:43, Carlos Ble ble.jur...@gmail.com wrote:
It just has happened to our
We are still facing as many DeadlineExceededError as the past days,
but now it is happening while sending emails:
DeadlineExceededError: The API call mail.Send() took too long to
respond and was cancelled
So the app loads, it works and it gets this exception just trying to
send a single email to
/google-appengine?hl=en.
--
Carlos Ble
www.MavenCharts.com
www.iExpertos.com
www.carlosble.com
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Jesus! the sooner I write the email, the sooner I get the 500 again :'-(
I better shut up
2010/9/23 Carlos Ble ble.jur...@gmail.com
Hi guys,
Yesterday we deployed a version using precompilacion. app.yaml:
...
api_version: 1
derived_file_type:
- python_precompiled
handlers:
...
We
?hl=en.
--
Carlos Ble
www.MavenCharts.com
www.iExpertos.com
www.carlosble.com
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www.iExpertos.com
www.carlosble.com
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www.iExpertos.com
www.carlosble.com
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Hi,
We are having the same problem. We have had the service down for
almost 20minutes. We also use Django 1.1 and I understand than
importing all modules might take time but it usually works in less
than 500ms, and now it is producing DeadlineExceededError just in the
imports, so before any query.
Someone from Google can explain this, please?
Thanks
--
Carlos Ble
www.MavenCharts.com
www.iExpertos.com
www.carlosble.com
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We are also facing this problem. Too many DeadlineExceededError. We
also use Django 1.1 but the same app usually loads within 500ms, and
today we have been down for about 20 minutes.
Now we have deployed the version precompiling the app (just changing
app.yaml and deploying) and so far we haven't
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