[appengine-java] Re: Change from String to Integer , now can't rid of Zombie instances... what is the right procedure to do so?

2011-10-30 Thread Ian Marshall
You might want to implement an alternative procedure of the following
stages to change the data type of your data mamber = field:

1.  Add the data member quantityToAddNew of data type Integer. Use
this in your code instead of quantityToAdd. Deploy.
2.  After a suitable delay (at least 24 hours?): change the data type
of the data member quantityToAdd to Integer. Use this in your code
instead of quantityToAddNew. Deploy.
3.  After a suitable delay (at least 24 hours?): remove the data
member quantityToAddNew. Deploy. You're done.

Enjoy?


On Oct 29, 11:44 pm, Ronoaldo José de Lana Pereira
rpere...@beneficiofacil.com.br wrote:
 Sine you are talking about _ah_SESSION stuff I suppose you are serializing
 ToBuyBeans to the sessions. On AppEngine, sessions are implemented using a
 combination of datastore and memecache. When you deleted your old session
 data from the datastore, the memcache was still there, and only when they
 got flushed your problem was automatic solved.

 Sadly, I was having this trouble too previously, and the only way to get
 rid of it was to deploy a versions that was trying to fetch data from
 session and convert to new format or invalidate the session. This is very
 odd, tought, so I started to store only unchanged data, like a JSON
 representation of you objects, that will never stop your app when you
 change your code and redeploy. Gson and flex-json are good start points,
 apart from the fact that they add some small conversion overhead before
 store data in session.

 Hope this helps (sorry for typos ... I'm sleepy)

 -Ronoaldo

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[google-appengine] Best way to disable settings from appengine_config during tests

2011-10-30 Thread Andi Albrecht
Hi all,

I have set up local unit tests for a Python app according to the
documentation on the App Engine site [1]. The app has appstats
configured as a WSGI middleware through appengine_config.py by using
the webapp_add_wsgi_middleware() directive:

def webapp_add_wsgi_middleware(app):
  app = recording.appstats_wsgi_middleware(app)
  return app

When running the tests I want to disable appstats. appstats needs
REQUEST_ID_HASH environment variable which isn't set during tests, but
recording data doesn't make much sense at all during tests.

The current idea is to monkey-patch
appengine_config.webapp_add_wsgi_middleware when it's first imported
by the test runner - before any test is actually executed:

import appengine_config
appengine_config.webapp_add_wsgi_middleware = lambda app: app

But I wonder if there are better (or more documented) alternatives to
modify settings from appengine_config.py during tests.

--Andi

[1] http://code.google.com/appengine/docs/python/tools/localunittesting.html

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Re: [google-appengine] Best way to disable settings from appengine_config during tests

2011-10-30 Thread Sun Jing
You can try:

def webapp_add_wsgi_middleware(app):
  if not appos.environ['APPLICATION_ID'].startswith('dev~'):
app = recording.appstats_wsgi_middleware(app)
  return app

--
keakon

My blog(Chinese): www.keakon.net
Blog source code: https://bitbucket.org/keakon/doodle/



On Sun, Oct 30, 2011 at 2:18 PM, Andi Albrecht albrecht.a...@googlemail.com
 wrote:

 Hi all,

 I have set up local unit tests for a Python app according to the
 documentation on the App Engine site [1]. The app has appstats
 configured as a WSGI middleware through appengine_config.py by using
 the webapp_add_wsgi_middleware() directive:

 def webapp_add_wsgi_middleware(app):
  app = recording.appstats_wsgi_middleware(app)
  return app

 When running the tests I want to disable appstats. appstats needs
 REQUEST_ID_HASH environment variable which isn't set during tests, but
 recording data doesn't make much sense at all during tests.

 The current idea is to monkey-patch
 appengine_config.webapp_add_wsgi_middleware when it's first imported
 by the test runner - before any test is actually executed:

 import appengine_config
 appengine_config.webapp_add_wsgi_middleware = lambda app: app

 But I wonder if there are better (or more documented) alternatives to
 modify settings from appengine_config.py during tests.

 --Andi

 [1]
 http://code.google.com/appengine/docs/python/tools/localunittesting.html

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[google-appengine] Re: illegal seek - error

2011-10-30 Thread Droid
Not disk space error - its a new Mac. Permissions? Not sure, no idea
where to start with that.
At present I am doing App Engine stuff on an old Windows machine.



On Oct 3, 1:36 pm, Joshua Smith joshuaesm...@charter.net wrote:
 Have you tried deleting and re-installing the launcher? This could be as 
 simple as having run out of disk space when you installed, or a permissions 
 issue.

 On Oct 3, 2011, at 3:42 AM, Droid wrote:







  I am getting an illegal seek error on a MacBook Air Lion OS. Did not
  happen with everything the same but on Windows.

  Anyone know anything about this error? Here is the log:

  ERROR    2011-10-03 07:40:28,943 dev_appserver.py:4200] Exception
  encountered handling request
  Traceback (most recent call last):
   File /Applications/GoogleAppEngineLauncher.app/Contents/Resources/
  GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/
  google/appengine/tools/dev_appserver.py, line 4143, in _HandleRequest
     self._Dispatch(dispatcher, self.rfile, outfile, env_dict)
   File /Applications/GoogleAppEngineLauncher.app/Contents/Resources/
  GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/
  google/appengine/tools/dev_appserver.py, line 4049, in _Dispatch
     base_env_dict=env_dict)
   File /Applications/GoogleAppEngineLauncher.app/Contents/Resources/
  GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/
  google/appengine/tools/dev_appserver.py, line 616, in Dispatch
     base_env_dict=base_env_dict)
   File /Applications/GoogleAppEngineLauncher.app/Contents/Resources/
  GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/
  google/appengine/tools/dev_appserver.py, line 3120, in Dispatch
     self._module_dict)
   File /Applications/GoogleAppEngineLauncher.app/Contents/Resources/
  GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/
  google/appengine/tools/dev_appserver.py, line 3024, in ExecuteCGI
     reset_modules = exec_script(handler_path, cgi_path, hook)
   File /Applications/GoogleAppEngineLauncher.app/Contents/Resources/
  GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/
  google/appengine/tools/dev_appserver.py, line 2896, in
  ExecuteOrImportScript
     sys.stdout.seek(0)
  IOError: [Errno 29] Illegal seek

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[google-appengine] Re: Extremely slow db.get([keys])

2011-10-30 Thread Zygimantas Berziunas
Source:

logging.debug('Fetching ' + str(len(m.keys())) + ' entities')
items = db.get(m.keys())
logging.debug('Done fetching items')

Log:

D 2011-10-30 22:46:41.495 Fetching 238 entities
D 2011-10-30 22:46:50.009 Done fetching items
W 2011-10-30 22:46:54.407 Full proto too large to save, cleared variables.

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[google-appengine] how to make AJAX call using Java (using Struts 2)

2011-10-30 Thread tutti
When I make the AJAX call (app engine Java Environment) - I am getting
a 404, the same action if I put on the browser is working.
Do I need to add any additional params in app.yaml

Is there any additional configurations needed for RPC to work in Java
environment.

Any help would be appreciated.

Best,
Muneer

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[google-appengine] Slightly Off Topic: Adsense Issues?

2011-10-30 Thread Brandon Wirtz
I had to clients inform me they didn't think they would be able to pay their
bills on time because Google didn't issue them payments for September
earnings.  If it had been just one, I'd have thought nothing of it, and
assumed it was a the dog ate the check in the mail kind of excuse, but
with two of them it seemed less likely.

 

Then I noticed I also didn't get my September earnings either.  The forums
seem pretty full of people with this issue and no word from Google on if
they are aware of the issue, if there is a time to resolution, or how to
make sure the account is on the list to be checked in to.

 

I apologize for  spamming this forum with this, but these are clients who
if they don't get paid, they don't make their rent checks, not big
businesses, and realistically, I'm pretty annoyed that do $30-50k a year
with Google can't get so much as an email address for support issues.

And when their experience is poor, it makes them Anti-Google which makes it
harder for me to peddle my wares to them as well.

 

-Brandon

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Re: [google-appengine] Users Service and 2-step verification

2011-10-30 Thread Amy Unruh
Lucian,

Yes, it does.

 -Amy

On Sat, Oct 29, 2011 at 1:56 AM, Lucian Baciu lucianba...@gmail.com wrote:

 Does the Users Service(configured as Federated Login under Application
 options) works if the Google Account used to login is configured to use
 2-step verification?
 http://www.google.com/support/accounts/bin/static.py?page=guide.csguide=1056283topic=1056284

 Thank you,
 Lucian

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[google-appengine] How to set up task queues to prevent bursts?

2011-10-30 Thread Pol
Hi,

Through a task queue, we manage calls from GAE to an external system,
which is fully-scalable but takes minutes to do so. The task queue
rate is therefore set to 200/s.

So what happens is that sometimes we get bursts of activity, and the
task queue sends 200 requests at once: the vast majority fails in the
external system as it can't handle this sudden request in load. But
the external system doesn't start scaling up as there are no more
requests coming and it's scaling based on the CPU load. Then suddenly
you get another burst of requests from the task queue retrying, and
then again the majority fails and so on.

So how can we configure a task queue to have a very high rate *but*
prevent it to get to this rate too fast? I noticed the bucket size
parameter, but I'm not sure how to use it properly.

Thanks,

- Pol

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Re: [google-appengine] How to set up task queues to prevent bursts?

2011-10-30 Thread Nicholas Verne
If your external system is called synchronously by your tasks, you could
try setting the queue's max_concurrent_requests parameter in queue.yaml/xml

This is documented for Java, but the same general rules apply for Python or
Go applications.
http://code.google.com/appengine/docs/java/config/queue.html#Defining_Push_Queues_and_Processing_Rates


Nick Verne



On Mon, Oct 31, 2011 at 3:13 PM, Pol p...@everpix.net wrote:

 Hi,

 Through a task queue, we manage calls from GAE to an external system,
 which is fully-scalable but takes minutes to do so. The task queue
 rate is therefore set to 200/s.

 So what happens is that sometimes we get bursts of activity, and the
 task queue sends 200 requests at once: the vast majority fails in the
 external system as it can't handle this sudden request in load. But
 the external system doesn't start scaling up as there are no more
 requests coming and it's scaling based on the CPU load. Then suddenly
 you get another burst of requests from the task queue retrying, and
 then again the majority fails and so on.

 So how can we configure a task queue to have a very high rate *but*
 prevent it to get to this rate too fast? I noticed the bucket size
 parameter, but I'm not sure how to use it properly.

 Thanks,

 - Pol

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Re: [google-appengine] Best way to disable settings from appengine_config during tests

2011-10-30 Thread Andi Albrecht
That's an interesting idea. I'd just do it the other way round and add 
appstats only iff APPLICATION_ID doesn't starts with 'test-' since I'm 
already setting this prefix when setting up the test environment.

Thanks!

Andi

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[google-appengine] Re: How to set up task queues to prevent bursts?

2011-10-30 Thread Pol
Sorry, I realize I didn't explain everything: since the external
system can handle an arbitrary load (as long as this load doesn't grow
too fast) and requests get processed in 1 to 2 seconds, we already set
the processing rate to the maximum (200), as well as the concurrent
(200).

The problem is not to limit the number of requests being handled, but
preventing bursts e.g. scaling up smoothly.

On Oct 30, 9:22 pm, Nicholas Verne nve...@google.com wrote:
 If your external system is called synchronously by your tasks, you could
 try setting the queue's max_concurrent_requests parameter in queue.yaml/xml

 This is documented for Java, but the same general rules apply for Python or
 Go 
 applications.http://code.google.com/appengine/docs/java/config/queue.html#Defining...

 Nick Verne







 On Mon, Oct 31, 2011 at 3:13 PM, Pol p...@everpix.net wrote:
  Hi,

  Through a task queue, we manage calls from GAE to an external system,
  which is fully-scalable but takes minutes to do so. The task queue
  rate is therefore set to 200/s.

  So what happens is that sometimes we get bursts of activity, and the
  task queue sends 200 requests at once: the vast majority fails in the
  external system as it can't handle this sudden request in load. But
  the external system doesn't start scaling up as there are no more
  requests coming and it's scaling based on the CPU load. Then suddenly
  you get another burst of requests from the task queue retrying, and
  then again the majority fails and so on.

  So how can we configure a task queue to have a very high rate *but*
  prevent it to get to this rate too fast? I noticed the bucket size
  parameter, but I'm not sure how to use it properly.

  Thanks,

  - Pol

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Re: [google-appengine] Re: How to set up task queues to prevent bursts?

2011-10-30 Thread Jeff Schnitzer
Interesting problem.  While the sudden load may be undesirable it seems
that the real problem is that the task queue backoff is too aggressive - if
it kept trying, it would eventually spin up enough hardware at the external
system.

You can configure the retry schedule explicitly - maybe try setting it so
that requests are retried more often?  You'll still get the initial errors
but at least you'll get the queues cleared eventually.

Jeff

On Sun, Oct 30, 2011 at 10:07 PM, Pol p...@everpix.net wrote:

 Sorry, I realize I didn't explain everything: since the external
 system can handle an arbitrary load (as long as this load doesn't grow
 too fast) and requests get processed in 1 to 2 seconds, we already set
 the processing rate to the maximum (200), as well as the concurrent
 (200).

 The problem is not to limit the number of requests being handled, but
 preventing bursts e.g. scaling up smoothly.

 On Oct 30, 9:22 pm, Nicholas Verne nve...@google.com wrote:
  If your external system is called synchronously by your tasks, you could
  try setting the queue's max_concurrent_requests parameter in
 queue.yaml/xml
 
  This is documented for Java, but the same general rules apply for Python
 or
  Go applications.
 http://code.google.com/appengine/docs/java/config/queue.html#Defining...
 
  Nick Verne
 
 
 
 
 
 
 
  On Mon, Oct 31, 2011 at 3:13 PM, Pol p...@everpix.net wrote:
   Hi,
 
   Through a task queue, we manage calls from GAE to an external system,
   which is fully-scalable but takes minutes to do so. The task queue
   rate is therefore set to 200/s.
 
   So what happens is that sometimes we get bursts of activity, and the
   task queue sends 200 requests at once: the vast majority fails in the
   external system as it can't handle this sudden request in load. But
   the external system doesn't start scaling up as there are no more
   requests coming and it's scaling based on the CPU load. Then suddenly
   you get another burst of requests from the task queue retrying, and
   then again the majority fails and so on.
 
   So how can we configure a task queue to have a very high rate *but*
   prevent it to get to this rate too fast? I noticed the bucket size
   parameter, but I'm not sure how to use it properly.
 
   Thanks,
 
   - Pol
 
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 Groups
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 .
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[google-appengine] Re: How to set up task queues to prevent bursts?

2011-10-30 Thread Pol
Good point, forcing the tasks to retry every few seconds instead of at
an increasing back off might do it. Keep pounding the system to force
it to scale, but it's not very elegant :)

My original idea was to play with the bucket size parameter for the
queue, as the docs seem to imply that it allows to control bursts, but
it's not clear at all. I reduced it to 1, but I don't understand what
it means in practice if max rate and max concurrency are at 200.

On Oct 30, 10:13 pm, Jeff Schnitzer j...@infohazard.org wrote:
 Interesting problem.  While the sudden load may be undesirable it seems
 that the real problem is that the task queue backoff is too aggressive - if
 it kept trying, it would eventually spin up enough hardware at the external
 system.

 You can configure the retry schedule explicitly - maybe try setting it so
 that requests are retried more often?  You'll still get the initial errors
 but at least you'll get the queues cleared eventually.

 Jeff







 On Sun, Oct 30, 2011 at 10:07 PM, Pol p...@everpix.net wrote:
  Sorry, I realize I didn't explain everything: since the external
  system can handle an arbitrary load (as long as this load doesn't grow
  too fast) and requests get processed in 1 to 2 seconds, we already set
  the processing rate to the maximum (200), as well as the concurrent
  (200).

  The problem is not to limit the number of requests being handled, but
  preventing bursts e.g. scaling up smoothly.

  On Oct 30, 9:22 pm, Nicholas Verne nve...@google.com wrote:
   If your external system is called synchronously by your tasks, you could
   try setting the queue's max_concurrent_requests parameter in
  queue.yaml/xml

   This is documented for Java, but the same general rules apply for Python
  or
   Go applications.
 http://code.google.com/appengine/docs/java/config/queue.html#Defining...

   Nick Verne

   On Mon, Oct 31, 2011 at 3:13 PM, Pol p...@everpix.net wrote:
Hi,

Through a task queue, we manage calls from GAE to an external system,
which is fully-scalable but takes minutes to do so. The task queue
rate is therefore set to 200/s.

So what happens is that sometimes we get bursts of activity, and the
task queue sends 200 requests at once: the vast majority fails in the
external system as it can't handle this sudden request in load. But
the external system doesn't start scaling up as there are no more
requests coming and it's scaling based on the CPU load. Then suddenly
you get another burst of requests from the task queue retrying, and
then again the majority fails and so on.

So how can we configure a task queue to have a very high rate *but*
prevent it to get to this rate too fast? I noticed the bucket size
parameter, but I'm not sure how to use it properly.

Thanks,

- Pol

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[google-appengine] Re: Launcher all my Results Researchers CHANGER to Alertable event

2011-10-30 Thread Kaan Soral
pro

On Oct 30, 6:47 am, محمدرضا رضايي groupers...@gmail.com wrote:
 ABOUT
 --
 Mohamadreza Rezaee Parasteshnews Persiangateway usamol Bonian Sazan
 Shomal Company CivilCadCatCar All Rights Reserved Copyright 2010-2011

 --
 Mohamadreza Rezaee Parasteshnews Persiangateway usamol Bonian Sazan
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